Summary:
Type 3 innate lymphoid cells (ILC3s) are critical for lung defense against bacterial pneumonia in the neonatal period, but the signals that guide pulmonary ILC3 development remain unclear. Here, we demonstrated that pulmonary ILC3s descended from ILC precursors that populated a niche defined by fibroblasts in the developing lung. Alveolar fibroblasts produced insulin-like growth factor 1 (IGF1), which instructed expansion and maturation of pulmonary ILC precursors. Conditional ablation of IGF1 in alveolar fibroblasts or deletion of the IGF-1 receptor from ILC precursors interrupted ILC3 biogenesis and rendered newborn mice susceptible to pneumonia. Premature infants with bronchopulmonary dysplasia, characterized by interrupted postnatal alveolar development and increased morbidity to respiratory infections, had reduced IGF1 concentrations and pulmonary ILC3 numbers. These findings indicate that the newborn period is a critical window in pulmonary immunity development, and disrupted lung development in prematurely born infants may have enduring effects on host resistance to respiratory infections.
Keywords: ILC3 biogenesis, lung development, lung resistance
Graphical Abstract
eTOC:
The signals that guide pulmonary ILC3 development remain unclear. Oherle et al. show that developmentally programmed expression of IGF1 in alveolar fibroblasts links postnatal lung growth with development of pulmonary ILC3s, coordinating concurrent development of lung and mucosal defenses. These data help explain why perturbations incurred during development, such as premature birth, are associated with increased risk of respiratory infections.
One sentence summary:
Fibroblast derived IGF1 directs ILC3 development in newborn lung
Introduction:
Bacterial pneumonia kills more than one million infants around the world each year (Walker et al., 2013). Robust helper T (TH) cell-mediated adaptive immune response confers protection against pneumonia in adult mice and humans (Chen and Kolls, 2013). However, adaptive immune cells are scarce in the newborn lungs (dos Santos et al., 2013) and exhibit limited functionality (Opiela et al., 2009). In the context of inadequate T cell responses, innate immunity plays a dominant role in protection against respiratory infections in newborns (Kollmann et al., 2017). Type 3 Innate lymphoid cells (ILC3s), a group of sentinel mucosal immune cells, are among the first lymphocytes to colonize the mucosal tissues, including the newborn lungs (Diefenbach et al., 2014). ILC3s represent the initial responders to bacterial pathogens in the lungs (Van Maele et al., 2014). ILC3s are the numerically dominant ILC subset in the human lungs (De Grove et al., 2016). ILC3s can modulate the adaptive immune response by promoting proliferation and differentiation of TH cells (von Burg et al., 2014) or by supporting the homeostasis of regulatory T (Treg) cells at mucosal sites. Thus, ILC3s are in a prime position to potentially shape the emerging mucosal immunity (Bando and Colonna, 2016).
A wave of ILC3s infiltrates the newborn lungs during the first week of life (Huang et al., 2018). Newly arriving ILC3s are indispensable for newborn’s defense against bacterial pneumonia (Gray et al., 2017). It is hypothesized that ILC precursors disseminate from primitive yolk-sac-derived precursors in close concordance with fetal liver monocyte dissemination and seed peripheral tissues (Kotas and Locksley, 2018). A second wave of expansion extending from after birth through weaning is presumed to be marked by regional expansion and maturation in response to cues from niche stromal cells (Koga et al., 2018). Nevertheless, the anatomical location of these precursors in the developing lungs, the identity of specific stromal cells responsible for the expansion of pulmonary ILC precursors, and the knowledge of specific factors sustaining local division and differentiation of pulmonary ILC precursors are unknown. Understanding the mechanisms involved in the development and maturation of pulmonary ILC3s is of paramount importance to augment ILC3 response and develop lung protective strategies for the newborn.
Results:
IL-22 producing pulmonary ILC3 were essential for host defense against respiratory pathogens in the newborn.
We and others have previously shown that interleukin (IL)-22 is essential for newborn’s defense against respiratory pathogens, including Streptococcus pneumoniae (serotype 19 A), a leading cause of pneumonia in human newborns (Kaplan et al., 2010). Unlike adults, neither macrophages (CD45+F4/80+) or T cells (CD45+CD5+) or NK cells (CD45+NK.1+) were the principal sources of IL-22 in the newborn lungs (postnatal day [PN3]) (Fig. 1A). In contrast, the majority of IL-22 producing cells in the newborn lung (PN3) were lineage negative lymphocytes expressing transcription factor RAR related orphan receptor (RORγ)t, but not GATA binding protein (GATA) 3 or T box transcription factor 21 (TBX21 or T-bet), which identified them as ILC3 (CD45+CD3ε−CD5−CD11b−CD19−MHCII−F4/80−Ly6G SiglecF−) CD127+ α4β7+ RORγt+ GATA3−T-bet− cells) (Fig. 1A, Fig. S1A). The repertoire of IL-22 producing ILC3s in the newborn lungs (PN3), included NCR+ILC3s (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]− CD127+RORγt+GATA3−CCR6-NKp46+ cells) or NCR−ILC3s (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]− CD127+RORγt+GATA3−CCR6−NKp46− cells) or CCR6+ILC3s (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]− CD127+RORγt+GATA3−NKp46-CCR6+ cells) (Fig. 1B). Furthermore, the frequencies of IL-22 producing NCR+ILC3s or NCRILC3s remained unchanged during postnatal development (PN1-PN21) (Fig. 1C). We confirmed these observations using transgenic RorcGFP/+ mice reporter newborn mice (PN3) (Fig. S1B).
Intratracheal challenge with S. pneumoniae activated the ILC3s, as evidenced by the expanded frequency of IL-22 producing ILC3s (Fig. S1C) and increased mean fluorescent intensity (MFI) of IL-22 in pulmonary ILC3s (Fig. S1D) from S. pneumoniae challenged newborn RorcGFP/+ mice (PN5), consistent with prior observations (Felton et al., 2018; Van Maele et al., 2014). The IL22 MFI and frequency of IL-22+ ILC3s in the small intestine (SI) remained unchanged after infectious challenge (Fig. S1D, E), which suggested that ILC3 activation was restrained in compartment-specific fashion.
Next, we interrogated the importance of ILC3s in the newborn’s resistance to pneumonia. We bred mice harboring the Il22 conditional allele (Il22fl/fl) with RorcCre mice (Eberl and Littman, 2004). The progeny, referred to here as RorcΔIl22 mice lacked IL-22 in all RORγt expressing cells, including the ILC3 (Fig. 1D). Newborn RorcΔIl22 mice (PN3) were indistinguishable from either RorcCre or Il22fl/fl littermates in the number of ILC3s or the frequencies of various ILC3 subsets within the lungs or SI (Fig. S1F,S1G,S1H). Newborn RorcΔIl22 mice (PN5) had increased (>3 fold) pathogen burden (Fig. 1E) and demonstrated an expanded susceptibility post challenge with S. pneumoniae (Fig. 1F). Heightened susceptibility to S. pneumoniae was reversed by intratracheal instillation of recombinant IL-22 (Fig. 1G).
To confirm the critical role of ILC3-derived IL-22 in newborn’s defense we adoptively transferred congenically (CD45.1) marked ILC3s via intratracheal route into age-matched RorcΔIl22 newborn mice (PN3). Adoptively transferred ILC3 persisted in the newborn lung (Fig. 1H) and reversed the susceptibility to pneumonia in RorcΔIl22 newborn mice (Fig. 1I). Our data, coupled with prior reports (Aujla et al., 2008; Van Maele et al., 2014; Xiong et al., 2016) established an essential role for ILC3 and IL-22 in host defense against bacterial pneumonia. Having shown that pulmonary ILC3 were protective against bacterial pathogens in the newborn, we next examined how the lungs were populated by protective ILC3s.
Developmental maturation and differentiation of pulmonary ILC3s occurred locally in the lungs.
In adult mice, ILC3s emerge from common lymphoid precursors (CLP) in the bone marrow (BM) after a series of differentiation stages (Yu et al., 2014) (Seehus et al., 2015) into ILC precursors expressing transcription factor, promyelocytic leukemia zinc finger (ZBTB16), also known as zinc finger and BTB domain containing (ZBTB)16, (Constantinides et al., 2014; Klose et al., 2014) hereafter referred to as ZBTB16+ ILC precursors. The ZBTB16+ ILC precursors complete their maturation into ILC3s (Constantinides et al., 2014; Walker et al., 2019). The newborn BM (PN3) harbored several ILC3 developmental intermediates, including the CLPs (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]- CD127+CD25-ICOS-CD135+α4β7- cells and ZBTB16+ ILC precursors (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]-CD127+CD25-ICOS-CD135-α4β7+ cells) (Fig. 2A). ZBTB16+ ILC precursors in the newborn (PN3) BM expressed programmed cell death protein (PD) 1 and transcription factor inhibitor of DNA binding (ID2), but not RORγt or GATA3 or T-bet (Fig. 2A). Recent studies found that, co-expression of α4β7, PD1, ID2 and ZBTB16 marks ILC precursors (Walker et al., 2019; Xu et al., 2019) which harbor the potential to generate all helper ILC lineages. In contrast, mature ILC3s (defined as CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]-CD127+RORγt+ cells) were rare in the newborn BM (Fig. 2A). Conversely, CLPs were scarce in the newborn (PN3) SI or the lung (Fig. 2A). However, the newborn (PN3) SI and lung was populated by several ZBTB16+ ILC precursors and mature ILC3s. The relative frequencies of early ILC3 developmental intermediates, for instance CLPs, remained unchanged in the BM during postnatal development (PN1–P28) (Fig. S1I). These data, together with recent studies (Koga et al., 2018), suggested that a part of developmental maturation and differentiation of pulmonary ILC3s occurred locally in the lungs.
Next, we quantified the number of ZBTB16+ ILC precursors in the newborn (PN3) lung (Fig. 2B) or the BM (Fig. S1J) using Zbtb16GFPCre reporter mice (Constantinides et al., 2014). As expected, in Zbtb16GFPCre mice, GFP was preferentially expressed in pulmonary ZBTB16+ ILC precursors (defined as Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]− α4β7+CD127+CD135−CD25−eGFP+ cells) (Fig. 2B). Furthermore, a significant proportion of these pulmonary ZBTB16+ ILC precursors (Lin− α4β7+CD127+CD135−CD25−eGFP+ cells) co-expressed PD1 and ID2 (Fig. 2B). The frequency of other GFP-expressing lymphocyte populations, for instance, mature ILCs, CD4+ T cells, γδ T cells or NK cells in the newborn lungs was very low (Fig. S1L), consistent with a prior report (Constantinides et al., 2014). Zbtb16GFPCre is a hypomorphic allele and potentially under-reports the expression of ZBTB16 (Park et al., 2019). We therefore affirmed the expression of ZBTB16 by intracytoplasmic staining in newborn (PN3) B6 mice (Fig. S1L). The number of pulmonary ZBTB16+ ILC precursors increased six-fold from PN1(262 ± 31 cells/mouse lung) to PN7 (1344 ± 74/mouse lungs), decreased marginally by PN14 (1791 ± 136/mouse lung) and remained unchanged hereafter to adulthood (1156 ± 153/mouse lung) (Fig. 2C,F).
Next, we used RorcGFP/+ mice (Eberl et al., 2004) to quantify the mature ILC3s (Fig. 2D). The increase in pulmonary ZBTB16+ ILC precursors was followed by a dramatic expansion in the number of mature pulmonary ILC3s (defined as live CD45+ Lin− CD127+ RORγt (GFP)+ cells) between PN3 (310 ± 102 per mouse lung) and PN14 (1818 ± 142 per mouse lung). The number of ILC3s decreased to adult levels by PN21 (1292 ± 123 per mouse lung) (Fig. 2E, F). The accrual of immature ZBTB16+ ILC precursors and developmentally mature ILC3s in successive waves (Fig. 2F) was reminiscent of ontogeny of alveolar macrophages. The newborn lung is populated by a wave of developmentally immature pre-alveolar macrophages which proliferate and differentiate into mature alveolar macrophages (Guilliams et al., 2013). We therefore investigated whether the expanded pool of pulmonary ILC3s in the newborn lungs was similarly derived from proliferation and maturation of local ZBTB16+ ILC precursors. ZBTB16+ ILC precursors incorporated BrdU, while mature pulmonary ILC3s showed minimal BrdU incorporation (Fig. 2G, H), suggesting that ZBTB16+ ILC precursors, but not differentiated mature ILC3s were actively proliferating in the lungs. We therefore sought to determine whether actively proliferating pulmonary ZBTB16+ ILC precursors contributed to the expanded pool of mature pulmonary ILC3s in the newborn mice.
Pulmonary ZBTB16+ ILC precursors contribute to the homeostatic pool of mature ILC3 in the newborn lung.
Global lack of ZBTB16 differentially affects the homeostasis of different ILC subsets at extra-intestinal sites, such as the lungs (Constantinides et al., 2014), potentially confounding their interpretation. We therefore generated Zbtb16iDTR mice to selectively deplete pulmonary ZBTB16+ ILC precursors in the newborn mice (Fig. 3A). Newborn Zbtb16iDTR mice or Rosa26iDTR were treated with diphtheria toxin (DT) via the intratracheal route on PN1 as done previously (GeurtsvanKessel et al., 2008) (Fig. S2A–H, Supplementary Video 5). Newborn Zbtb16iDTR mice, which received a single treatment of intratracheal DT on PN1 (Fig. 3B) had significantly decreased number of pulmonary ZBTB16+ ILC precursors (90% of control) (Fig. 3B, Fig. 3C). ZBTB16+ ILC precursors in the BM and SI were unchanged in newborn Zbtb16iDTR mice (PN3) treated with intratracheal DT, which confirmed the preferential depletion of pulmonary ZBTB16+ ILC precursors compared to their gut-resident counterparts (Fig. 3B). Loss of pulmonary ZBTB16+ ILC precursors in DT-treated Zbtb16iDTR newborn mice (PN3) was accompanied by a severe reduction (>70% loss) in the number of mature pulmonary ILC3s (defined as live CD45+ Lineage [CD3ε, CD5, CD11b, CD11c, CD19, F4/80, Ly6G]−CD127+RORγt+GATA3− cells) (Fig. 3B) and increased susceptibility after intratracheal challenge with S. pneumoniae (Fig. 3D). Finally, adoptively transferred ILC3 from age-matched B6 mouse reversed the susceptibility to pneumonia in DT-treated Zbtb16iDTR mice newborn mice (PN5) (Fig. S3A,B). These data unveiled a critical role for pulmonary ZBTB16+ ILC precursors in the newborn’s host defense against pneumonia.
An important limitation of our current experimental model was its potential to disrupt the homeostasis of other ILC subtypes. Indeed, intratracheal DT treatment depleted the pulmonary ILC2s (defined as Live CD45+Lin−CD127+KLRG+GATA3+RORγt− cells) in Zbtb16iDTR newborn mice (PN5) (Fig. S3C), which raised the possibility that increased susceptibility to pneumonia in Zbtb16iDTR newborn mice could have been due to lack of ILC2s. We adoptively transferred congenically (CD45.1) marked WT ILC2s via intratracheal route into age-matched DT-treated Zbtb16iDTR newborn mice (PN3). While adoptively transferred ILC2s persisted in the newborn lung (Fig. S3D), they failed to reverse the expanded susceptibility to pneumonia in DT-treated Zbtb16iDTR newborn mice (PN5) (Fig. S3D). The extreme rarity of ILC1s in the newborn lung (Lambert, 2015) precluded us from evaluating whether these cells could mediate host defense as efficiently as pulmonary ILC3s in DT-treated Zbtb16iDTR newborn mice. NK cells are important in host defense against respiratory pathogens (Paget and Trottein, 2013). While the frequency of NK cells decreased in DT-treated Zbtb16iDTR newborn mice (PN5), the difference did not reach statistical significance (Fig. S3F). Taken together, these data confirmed that increased susceptibility to pneumonia in DT-treated Zbtb16iDTR newborn mice was due to the relative numerical deficiency of ILC3s.
Loss of pulmonary ZBTB16+ ILC precursors in the newborn period had enduring consequences for the pulmonary ILC3 pool and host resistance to pneumonia beyond childhood.
To determine if the loss of pulmonary ZBTB16+ ILC precursors in the early newborn period has durable effects on pulmonary ILC3 pool, we treated neonatal Zbtb16iDTR mice with DT via intratracheal route on PN1 and followed the animals into adulthood. DT-treated neonatal Zbtb16iDTR mice demonstrated severely reduced number of pulmonary ILC3s throughout the newborn period (PN3, 7 and 14), that extended into adolescence (PN21) and adulthood (PN28) (Fig. 3E). Similarly, increased susceptibility to pneumonia after an early-life loss of pulmonary ZBTB16+ ILC precursors prevailed beyond the neonatal period, into adulthood (Fig. 3F). Next, we asked if restoring pulmonary ZBTB16+ ILC precursors in early life could replenish the pulmonary ILC3 pool and restore resistance to pneumonia. We isolated pulmonary ZBTB16+ ILC precursors from Zbtb16EGFPCre reporter mice (backcrossed to CD45.1 background) using a combination of positive and negative selection of cell surface markers (Fig. S3G). We depleted the native pulmonary ZBTB16+ ILC precursors by treating Zbtb16iDTR mice with intratracheal DT. Then, we adoptively transferred congenically labeled (CD45.1) pulmonary ZBTB16+ ILC precursors into DT-treated Zbtb16iDTR mice on PN3. The adoptively transferred pulmonary CD45.1+ ZBTB16+ ILC expanded numerically in recipient newborn mice as early as 1-week post-transfer (Fig. 3G). Within two weeks, more than 80% of pulmonary ILC3s were CD45.1+ (Fig. 3H), which suggested that the majority of pioneering ILC3s in the newborn lung were derived principally from undifferentiated pulmonary ZBTB16+ ILC precursors. Importantly, the adoptively transferred ZBTB16+ ILC precursors restored the resistance to bacterial pneumonia in DT-treated Zbtb16iDTR newborn mice (PN3) (Fig. 3I).
Differential requirements for development and maturation of pulmonary ZBTB16+ ILC precursors.
We performed genome-wide transcriptional profiling of ZBTB16+ ILC precursors from the BM and the lungs in newborn mice (PN3) (Fig. S4A). An unsupervised analysis revealed a differential abundance of transcripts (Fig. S4B) linked to growth factor signaling and chemotaxis in pulmonary ZBTB16+ ILC precursors (Fig. S4C). Transcripts for genes related to cell growth, for example, insulin-like growth factor receptor (Igf1r) 1, platelet-derived growth factor receptor (Pdgfr) alpha, and signaling molecules, for instance, ataxin (Atx) 1, phosphoinositide-3-kinase regulatory subunit 1 (Pik3r1), wingless (Wnt1), Wnt3A, Wnt5A and Wnt7A were differentially abundant in pulmonary ZBTB16+ ILC precursors compared to their BM counterparts (Fig. S4D). Similarly, transcripts for genes necessary for lung homing such as C-X-C chemokine receptor 5 (Cxcr5)(Chea et al., 2016), Cxcr6 (Chea et al., 2015), chemokine receptor 4 (Ccr4), adhesion molecules such as Semaphorin 5a (Sema5A) and Sema6 were enriched in pulmonary ZBTB16+ ILC precursors (Harly et al., 2018; Yu et al., 2016) (Fig. S4D). In contrast, we found no significant difference in transcripts involved in broader ILC development, for example, Nuclear factor, interleukin 3 regulated (Nflil3), Tox, Zbtb16, T cell-specific transcription factor 7 (Tcf7), Gata3, Rorc, Tbx21, Id2 and B Cell Lymphoma 11B (Bcl11b) in pulmonary ZBTB16+ ILC precursors compared to their BM-counterparts (Ishizuka et al., 2016) (Fig. S4D). Transcripts for homing receptors known to be expressed on ILC precursors during development, for example, selectin P ligand (Selplg), Cxcr3, Cxcr 4, Cx3cr1, Ccr1, Ccr7 and Ccr8 were comparable between pulmonary ZBTB16+ ILC precursors and their BM-counterparts (Fig. S4D) (Harly et al., 2018). Next, we confirmed the expression of proteins encoded by differentially abundant genes. Confirming the findings of the transcriptional analysis, we found differences in expression of IGF1R and CXCR6 on pulmonary ZBTB16+ ILC precursors compared to their BM-counterparts. Expression of transcription factors essential for the maintenance of ZBTB16+ ILC precursors for instance BCL11B and TCF7, were not different in pulmonary ZBTB16+ ILC precursors compared to their BM-counterparts (Fig. S4E). These data suggested that while pulmonary ZBTB16+ ILC and BM ZBTB16+ ILC share a common transcriptome associated with ILC development, unique differences related to growth factor signaling and chemotaxis mark central vs. pulmonary ILC precursors.
Platelet-derived growth factor receptor (PDGFR)α+ alveolar fibroblasts created a microenvironment essential for proliferation of pulmonary ILC3 precursors.
In the BM, locally restricted production of cytokines and growth factors in specialized microenvironments or niches direct the development and proliferation of hematopoietic precursors. We hypothesized that the production of growth factors and activation of growth factor signaling pathway in similar microenvironments might be necessary for the development of lung resident ILC precursors. Similar to primitive macrophages, ZBTB16+ ILC precursors localized to the lung parenchyma (Fig. 4A). We evaluated the spatial relationship between the ZBTB16+ ILC precursors and the alveolar epithelial cells (identified by NKX2.1) or fibroblast (identified by PDGFRα) with spatial distance modeling (Kunisaki et al., 2013; Short et al., 2013). ZBTB16+ ILC precursors were preferentially located closest to PDGFRα+ cells (alveolar fibroblast) as compared to NKX2.1+ cells (alveolar epithelial cells) in the newborn lungs (PN3–21) (Fig. 4B–F, Supplementary Video 1–4). Mesenchyme-derived fibroblasts are essential for survival and expansion of immature T cells, in secondary lymphoid tissue such as the lymph nodes and spleen (Link et al., 2007; Scandella et al., 2008). In the fetal liver, a population of periportal fibroblasts is critical for maintenance and expansion of hematopoietic stem cells (Khan et al., 2016) and ILC precursors (Koga et al., 2018). More recently, a population of IL-33 producing adventitial stromal cells was shown to support pulmonary ILC2 expansion (Dahlgren et al., 2019). Given the close physical association between the alveolar fibroblast and ZBTB16+ ILC precursors (Fig. 4B–F), we hypothesized that alveolar fibroblasts were essential for the expansion and maturation of pulmonary ZBTB16+ILC precursors.
A three-dimensional aggregate assay involving alveolar epithelial cells (CD45−CD131+CD146-CD310−) and fibroblasts (CD45−CD131−CD146+CD310−) was used previously to model the alveolar stem cell niche ex vivo (Bertoncello and McQualter, 2011; Hegab et al., 2015; McQualter et al., 2010). We used a similar lung aggregate assay to mimic pulmonary ZBTB16+ ILC precursor niche. Pulmonary ZBTB16+ ILC precursors were co-incubated with alveolar aggregates in serum-free medium supplemented with IL-7, stem cell factor (SCF), and BrdU for ten days using a protocol described before (Yu et al., 2016). Pulmonary ZBTB16+ ILC precursors co-incubated with OP9-DL1 stromal cells served as a control (Fig. 5A). The progeny of pulmonary ZBTB16+ ILC precursors co-incubated with lung aggregate included all three ILC lineages (Fig. 5B,C). Furthermore, supplementing the culture medium with IL-23 or IL-33, cytokines which promote the development of specific ILC lineage, further expanded the number of ILC3s and ILC2s respectively (Fig. S5A,B). These results, which were consistent with previous reports (Constantinides et al., 2014; Walker et al., 2019; Xu et al., 2019), confirmed the multilineage potential of ZBTB16+ ILC precursors.
Next, we quantified the ability of pulmonary ZBTB16+ ILC precursors to expand and generate mature ILC3s when co-incubated with lung aggregates lacking either alveolar fibroblast (Fig. 5C, middle panel) or alveolar epithelial cells (Fig. 5C, lower panel). The number of mature ILC3s were > 100-fold lower (Fig. 5C, D) and the frequency (Fig. 5E) of BrdU incorporating ZBTB16+ ILC precursors were 4-fold lower when ZBTB16+ ILC precursors were co-incubated with aggregates lacking alveolar fibroblast compared to aggregates lacking alveolar epithelial cells. These data suggested that alveolar fibroblasts were critical for the expansion and maturation of pulmonary ZBTB16+ILC precursors.
Insulin-like growth factor signaling was critical for the proliferation of ILC3 precursors in the pulmonary niche.
We sought to identify the paracrine factors produced by the alveolar fibroblast that supported the expansion and maturation of pulmonary ZBTB16+ ILC precursors. We used stable isotope-labeled amino acids followed by mass spectrometry (MS) (Fig. 5F) to quantitatively asses the proteins secreted in the conditioned medium (CM) when alveolar aggregates were co-incubated with ZBTB16+ ILC precursors. An unsupervised analysis demonstrated consistent differences in the CM from alveolar aggregates with alveolar fibroblast, compared to alveolar aggregates lacking fibroblast (Fig. 5G). Differentially abundant proteins in CM were enriched for biological processes including, activation of IGF1 signaling, lymphocyte proliferation and lung development (Fig. 5 G–I). We hypothesized that IGF1 might play a role in the proliferation of ZBTB16+ILC precursors. The role of IGF1 in the expansion of the ILC precursors was interrogated in an alveolar aggregate assay wherein ZBTB16+ ILC precursors were co-incubated in presence or absence of anti-IGF1 neutralizing antibody (DiGirolamo et al., 2007). In the presence of anti-IGF1 antibody, the frequency of BrdU incorporating ZBTB16+ ILC precursors was decreased 5-fold (Fig. 5J), and mature ILC3s were reduced by approximately 50-fold (Fig. 5K). A recent report implicated adventitial stromal cell-derived IL-33 in the expansion of pulmonary ILC2 (Dahlgren et al., 2019). However, this study did not evaluate pulmonary ILC precursors, raising the possibility that IL-33 could be involved in the expansion and maturation of pulmonary ZBTB16+ ILC precursors. We co-incubated the alveolar aggregate and ZBTB16+ ILC precursors in the presence or absence of anti-IL33 receptor (IL33R) neutralizing antibody as done previously (Schmitz et al., 2005). In the presence of anti-IL-33R antibody, the number of mature ILC3s were reduced minimally, suggesting that IL-33 may have a limited role in the expansion of pulmonary ILC3s (Fig. 5L). This was not surprising considering the differential requirement of cytokines, for example, IL-25 (Huang et al., 2018) and IL-33 (de Kleer et al., 2016; Ricardo-Gonzalez et al., 2018) in development of ILC2s, but not ILC3s.
Alveolar fibroblast-derived IGF1 was critical for the proliferation of ILC3 precursors in the pulmonary niche in the newborn lungs.
Immunostaining with anti-IGF1 antibody demonstrated that the majority of IGF1+ cells in the newborn lungs (PN3, 7 and 21) were alveolar fibroblast (PDGFRα+) cells (Fig. 6A, B). We hypothesized that alveolar fibroblasts were the critical source of IGF1 which directed the expansion and maturation of ZBTB16+ ILC precursors in vivo. Mice lacking IGF1, either globally or in alveolar fibroblasts, exhibit profound defects in the lung development and in utero growth retardation (Baker et al., 1993; Galvis et al., 2015). Such transgenic mice die within the first week of life (Baker et al., 1993; Galvis et al., 2015) and therefore cannot be used to interrogate the role of alveolar fibroblast-derived IGF1 in postnatal expansion and maturation of pulmonary ZBTB16+ ILC precursors.
We therefore sought to develop a model to delete IGF1 in alveolar fibroblast in the postnatal period in an inducible fashion. Analysis of single-cell RNA-seq datasets generated from cells dissociated from newborn lungs (PN1) (Guo et al., 2015) demonstrated that IGF1 was highly expressed in the alveolar fibroblasts that co-expressed PDGFRA and Glioma-associated protein (GLI1) 1 (Fig. 6C). Neither endothelial (endomucin [EMCN]-expressing), alveolar epithelial (NKX2.1-expressing) nor immune (Protein tyrosine phosphatase receptor type C [PTPRC]-expressing) cells expressed IGF1, consistent with immunohistochemical analysis. Gli1CreER transgenic mice expressing tamoxifen-inducible Cre recombinase allowed inducible deletion of genes in Gli1 expressing cells. Gli1CreER mice were bred with Igf1fl/fl mice to generate Gli1CreER; Igf1fl/fl mice (Fig. 6D). Gli1CreER; Igf1fl/fl mice were treated with tamoxifen on PN1 via intraperitoneal route as described before (Ruiz-Camp et al., 2017). Tamoxifen administration decreased the number of IGF1+ cells in the postnatal period (Fig. 6D), reduced the proportion of ZBTB16+ ILC precursors incorporating BrdU (Fig. 6E), and significantly diminished the number of mature ILC3s in tamoxifen-treated Gli1CreER; Igf1fl/fl newborn mice compared to sham-treated Gli1CreER; Igf1fl/fl mice (Fig. 6F). Tamoxifen administration also rendered the Gli1CreER; Igf1fl/fl newborn mice susceptible after challenge with S. pneumoniae (Fig. 6G). Adoptive transfer of pulmonary ILC3s from WT newborn mice via the intratracheal route restored host resistance to pneumonia in age-matched newborn Gli1CreER; Igf1fl/fl mice treated with tamoxifen (Fig. 6G).
We sought to recapitulate these findings by quantifying the ability of alveolar fibroblast lacking IGF1 to support the proliferation of pulmonary ZBTB16+ ILC precursors in an ex vivo assay (Fig. S5C). The frequency of BrdU incorporating ZBTB16+ ILC precursors (Fig. S5D) and number of mature ILC3s (Fig. S5E) were severely diminished when WT ZBTB16+ ILC precursors were co-incubated with aggregates from tamoxifen-treated newborn Gli1CreER; Igf1fl/fl mice compared to the sham-treated newborn Gli1CreER; Igf1fl/fl mice or Igf1fl/fl mice. These data, taken together, suggested that loss of alveolar fibroblast derived IGF1 impaired the expansion and maturation of pulmonary ZBTB16+ ILC precursors into ILC3s.
IGF1 signaling was critical for expansion and maturation of ILC precursors.
IGF1R is expressed in ZBTB16+ ILC precursors and mature ILC3s. We therefore sought to determine the relative contribution of IGF1 signaling in the development of ZBTB16+ ILC precursors and homeostasis and function of differentiated ILC3s. Zbtb16EGFPCre mice were bred with Igf1rfl/fl mice, to generate Zbtb16IGF1R mice (Fig. 6H). ZBTB16 is expressed by hematopoietic cells, in addition to ILC developmental intermediates (Walker et al., 2019). However, we found no difference in the number of CLPs in the bone marrow of newborn Zbtb16ΔIgf1r mice compared to Igf1rfl/fl or Zbtb16EGFPCre mice (Fig. S5F). Furthermore, the expression of IGF1R on significant innate lymphocyte populations, for instance, NK cells and γδ T cells, ILC2s and ILC3s in the newborn lung (Fig. S5G) or the SI (Fig. S5H) was unaffected, confirming the preferential deletion of IGF1R on ZBTB16+ ILC precursors in newborn Zbtb16ΔIgf1r vs Zbtb16EGFPCre mice.
The frequency of BrdU incorporating ZBTB16+ ILC precursors was decreased 5-fold, and number of ILC3s were reduced 60-fold in lungs of Zbtb16ΔIgf1r newborn mice (Fig. 6H, I). The number of mature ILC3s were also diminished in the SI (Fig. S5I). However, the magnitude of change was lower in the SI compared to the lungs.
Zbtb16ΔIgf1r mice lack an essential feature present in healthy animals: developmental competition between ZBTB16+ ILC precursors lacking or expressing IGF1, respectively. Competition between individual cells controls their access to limited microenvironments (Cyster et al., 1994). Such competition can impact the fitness of ILC precursors if the microenvironment, for example, the pulmonary ILC niche, provides signals necessary for their continued development. Therefore, we used an in vivo competitive expansion assay, wherein ILC precursors lacking IGF1 competed for expansion and maturation in the newborn lung. Equal number of wild-type (CD45.1+) and Zbtb16ΔIgf1r (CD45.2+) or Zbtb16EGFPCre (CD45.2+) common lymphoid progenitors (CLP) (sorted as CD45+Lin−CD25−ICOS−CD117+Sca-1−CD127+α4β7−CD135+ cells) were co-transplanted into sublethally irradiated alymphoid newborn Rag2−/−;Il2rg−/− mice, which lack all ILC subsets (Song et al., 2010) by intrahepatic injection on PN1 (Fig. 6J). Two weeks later, we found a significantly decreased number of CD45.2+ ZBTB16+ ILC precursors and severely reduced number of CD45.2+ ILC3s in the lung and SI. Zbtb16ΔIgf1r CLP generated fewer ZBTB16+ ILC precursors or mature ILC3s in the lung, compared to Zbtb16EGFPCre CLP (Fig. 6K,L). Finally, impaired expansion and maturation of ZBTB16+ ILC precursors rendered newborn Zbtb16ΔIgf1r mice susceptible to intratracheal challenge with S. pneumoniae (Fig. 6M). Adoptive transfer of WT lung ILC3s as previously described (Gray et al., 2017) restored host resistance to pneumonia in newborn mice (Fig. 6M). These data, taken together, demonstrated that loss of IGF1 signaling impaired the expansion of ZBTB16+ ILC precursors and postnatal accumulation of ILC3s in the lungs.
IGF1 regulates multiple aspects of T-cell, B-cell, T reg function (Bilbao et al., 2014; Landreth et al., 1992), monocyte and macrophage effector function (Spadaro et al., 2017) through its interactions with IGF1R, raising the possibility that IGF1 signaling could also be important in homeostasis and function of ILC3s. We therefore bred RorcCre mice with Igf1rfl/fl mice to generate RorcΔIgf1r mice (Fig. S5J), which lacked IGF1R in all ILC3 subsets. There was no difference in the frequency of CLP in the BM of RorcΔIgf1r newborn mice compared to either Igf1rfl/fl or RorcCre newborn mice (PN3) (Fig. S5K). Similarly, the absolute number of ILC3s and frequency of different ILC subsets remained unchanged in the newborn lung (Fig. S5L,M) of RorcΔIgf1r mice compared to either Igf1rfl/fl or RorcCre newborn mice (PN3). Likewise, the expression of IL-22 was not significantly different in ILC3s from newborn (PN3) RorcΔIgf1r mice compared to Igf1rfl/fl or RorcCre mice (Fig. S5N). These data suggested that while IGF1 signaling was essential for the development and expansion of ZBTB16+ ILC precursors, it may have been redundant for ILC3 homeostasis and function.
Expansion and maturation of pulmonary ILC precursors was linked to postnatal lung development.
Colonization by commensal microbes influences the early innate immune environment at mucosal sites (Gensollen et al., 2016). We therefore investigated if commensal microbes were necessary for seeding and expansion of pulmonary ZBTB16+ ILC precursors. The BM CLPs were not different in newborn (PN3) germ-free (GF) mice, which lacked commensal microbes, compared to conventionalized (CNV) mice (Fig. S6A). Furthermore, the absolute number of pulmonary ZBTB16+ ILC precursors, the frequency of pulmonary ZBTB16+ ILC precursors incorporating BrdU (Fig. S6 B,C) were not significantly different in newborn GF mice, compared to CNV mice. In addition, the number of IGF1+ cells remained unchanged in the lung of newborn GF mice (PN3), compared to CNV mice (Fig. S6D,E). These data coupled with previous observations (Gray et al., 2017; Gury-BenAri et al., 2016) suggested that commensal microbes, while essential for activation of pulmonary ILC3s, were redundant in the expansion and maturation of pulmonary ZBTB16+ ILC precursors.
The temporal pattern of IGF1 mRNA expression in sorted murine (Fig. 7A), or human alveolar fibroblast (Fig. S6F) and postnatal increase in the number of pulmonary IGF1+ cells (Fig. 7B, C) paralleled the pattern of proliferation of pulmonary ZBTB16+ ILC precursors (Fig. 7D) and numerical expansion of pulmonary ILC3s (Fig. 7E). These findings coupled with the observation that conditioned medium from the alveolar aggregate assay was enriched for genes promoting lymphocyte proliferation and lung development (Supplementary Table 1,2), informed the hypothesis that the expansion of pulmonary ZBTB16+ ILC precursors is instructed by IGF-1 coinciding with lung development. Pulmonary ZBTB16+ ILC precursors from adult mice (PN28) co-incubated with alveolar aggregates from age-matched adult mice (PN28) (Fig. 7F) demonstrated decreased proliferative ability ex vivo, compared to pulmonary ZBTB16+ ILC precursors from newborn mice (PN5) co-incubated with alveolar aggregates from age-matched (PN5) mice (Fig. 7G–I). The reduced proliferative ability of pulmonary ZBTB16+ ILC precursors from adult animals could be reversed when co-incubated with alveolar aggregates from newborn mice (Fig. 7G–I).
We then sought to confirm if reduced proliferative ability of pulmonary ZBTB16+ ILC precursors from adult mice compared to newborn mice was cell-extrinsic. CLP from newborn (PN1) CD45.1+ or adult (P28) CD45.2+ mice were co-transferred into sublethally irradiated Rag2−/− Il2rg−/− newborn mice (PN1) or adult mice (PN28) (Fig. 7J). The relative proportions of CD45.2+ or CD45.1+ ZBTB16+ ILC precursors and mature ILC3s in the lungs of either newborn or adult mice were similar (Fig. 7J) when examined two weeks later. These data lead us to invoke the ‘bad soil’ hypothesis that microenvironment in the lungs of adult mice is less supportive for expansion and maturation of ZBTB16+ ILC precursors compared to newborn mice. This could potentially explain the decreased number of pulmonary ILC3s in adult mice.
Bronchopulmonary dysplasia, a disorder of interrupted postnatal lung development was marked by disrupted ILC3 homeostasis.
Reciprocally, disrupted lung development during the critical developmental window of newborn period can potentially interrupt the development of pulmonary mucosal defenses and result in an increased risk of respiratory infections and inflammatory disorders like increased airway hyperreactivity in infants. This is exemplified by bronchopulmonary dysplasia (BPD), a disorder marked by interrupted lung development which is common in prematurely born infants (Jobe and Bancalari, 2001). Infants with BPD have an increased likelihood of morbidity and death due to respiratory infections (Islam et al., 2015). In a preclinical model of BPD, newborn mice challenged in a hyperoxic environment (Warner et al., 1998) demonstrate alveolar simplification, decreased alveolar density and reduced lung volumes (Cox et al., 2017), hallmarks of interrupted lung development (Whitsett and Weaver, 2015). We found that newborn mice (PN1) exposed to the hyperoxic environment had decreased number of IGF1+ cells in the lungs (Fig. 7K,L), reduced frequency of BrdU incorporating ZBTB16+ ILC precursors (Fig. 7M), demonstrated 4-fold decrease in the number of pulmonary ILC3s (Fig. 7N) and exhibited susceptibility after intratracheal challenge with S. pneumoniae (Fig. 7O). Adoptive transfer of pulmonary ILC3 from age-matched control mice via intratracheal route restored the resistance to pneumonia in newborn mice (PN3) exposed to hyperoxic environment (Fig. 7O). We recapitulated this finding in human neonates. Infants with BPD had decreased IGF1 transcripts (Fig. S6G), more than a six-fold reduced concentration of IGF-1 (Fig. 7P) and lower relative abundance of ILC3s (defined as CD45+Lineage [CD3, CD5,CD11b, CD11c, CD14, FcεR1]−CD127+RORγt+GATA3− cells) (Fig. 7Q, S6G) in the bronchial lavage fluid compared to infants without BPD (Supplementary Table 3). These data, taken together, suggested that the developmental program in the newborn lung directed the pulmonary ILC3 development and regulated pulmonary defense against bacterial pneumonia. More importantly, these observations potentially explained the increased morbidity due to pneumonia in human neonates with BPD.
Discussion:
The origins of ILCs from lymphoid precursors in the fetal liver during newborn period and later in BM is well characterized (Klose et al., 2014). It is hypothesized that ILC precursors infiltrate peripheral tissues during development and subsequently differentiate and repopulate those peripheral sites as needed. Such precursors can be detected in multiple secondary lymphoid organs (Scoville et al., 2016) and blood in humans (Lim et al., 2017) and within the SI in mice (Bando et al., 2015). A recent study demonstrates that ILC2s appear in the fetal lungs during late gestation and the early newborn period. The bulk of peripheral ILC2s are generated de novo from expansion of the mature ILC2 in postnatal period (Schneider et al., 2019). Nevertheless, the extent to which the development and functional programming of pulmonary ILC3 occurs centrally, in the BM, versus peripherally, in the lung, is unresolved. Such an understanding is vital as disruption of seeding and expansion of tissue-resident precursors during the critical developmental window of the newborn period can have enduring consequences for tissue ILC3 pool and by extension, to the health of the host animal.
Using developmentally appropriate models, we demonstrated that loss of ILC precursors in early life had long-lasting effects on the pulmonary ILC3 pool. Increased susceptibility to pneumonia after an early-life loss of pulmonary ZBTB16+ ILC precursors prevailed beyond the neonatal period, into adulthood. Restoring pulmonary ZBTB16+ ILC precursors in early life replenished the pulmonary ILC3 pool and restored resistance to pneumonia. Our data suggested that the pulmonary ILC3 pool was primarily endowed by seeding in the newborn period, highlighting the significance of the neonatal period as a critical developmental window. These data could perhaps explain the observations from epidemiological studies which show that perturbations incurred during development, including premature births, are associated with increased risk of respiratory infections (Vrijlandt et al., 2013) and chronic inflammatory disorders, such as asthma, well into adolescence (Gessner and Chimonas, 2007). Whether the lungs are continuously repopulated by ILC precursors from the BM throughout the life, or whether they depend on the initial pool of ILC precursors which were seeded during the newborn period, is not clear. Such studies remain an area of active investigation in several laboratories (Kotas and Locksley, 2018).
Why growth factor signaling is differentially required for ILC development in the lungs is not yet clear. Tissue-resident ILC precursors are thought to depend upon transcription factor networks and cytokine signals for development similarly to their BM counterparts. Nevertheless, there remain important exceptions. For example, T cell-specific transcription factor (TCF)7 is critical for the development of BM ILC precursors (Yang et al., 2013). Yet, only mild defects are evident in ILCs at peripheral sites in Tcf7−/− mice (Mielke et al., 2013). Similarly, mice deficient in transcription factor (TOX) (Tox−/−) lack central ILC precursors (Aliahmad et al., 2010). However, the frequencies of mature ILC3 appear unchanged in the intestine of Tox−/− mice (Seehus et al., 2015). Similarly, cytokine IL-7 is important for central ILC development. However, IL7R-independent ILC2 and ILC3 subsets are present in SI lamina propria and are fully functional as they can confer protection to IL7Rα−/− mice against Citrobacter rodentium infection (Robinette et al., 2017), implying differential requirements in the maturation of central vs. tissue-resident precursors. Our data suggested that while pulmonary ZBTB16+ ILC and BM ZBTB16+ ILC shared a common transcriptome associated with ILC development, differences related to growth factor signaling and chemotaxis marked central vs. pulmonary ILC precursors. We posit that pulmonary ILC development requires distinct mechanisms for cell maintenance compared to the bone marrow.
Despite substantial progress, experimental perturbation of ILC precursors remains challenging (Kotas and Locksley, 2018) due to the restricted repertoire of cell surface molecules and the identification of transitional ILC developmental intermediates that require the simultaneous expression of key transcription factors, for instance, Id2, Bcl11b, and ZBTB16. (Walker et al., 2019; Xu et al., 2019). Our use of Zbtb16iDTR mice highlighted the inadequacy of current tools for experimental manipulation of ILC precursors in the lungs. For instance, intratracheal DT treatment disrupted the homeostasis of other ILC subtypes, including ILC2s, raising the possibility that increased susceptibility to pneumonia in Zbtb16iDTR newborn mice could be due to lack of ILC2s. A recent study demonstrated that ILC2s enforce type 2 immune environment in the newborn lung (Saluzzo et al., 2017). However, this immune quiescence contributes to a delayed response to pneumonia. We found that adoptively transferred ILC2s failed to reverse the expanded susceptibility to pneumonia in DT-treated Zbtb16iDTR newborn mice, which suggested that ILC2s are redundant for host defense in a murine model of bacterial pneumonia.
In the BM, locally restricted production of growth factors in specialized microenvironments or niches directs the development and proliferation of hematopoietic precursors. Lymphoid tissue organizer cells, a group of mesenchyme-derived fibroblasts are essential in the development of ILC3s in SI and secondary lymphoid tissues (Cupedo et al., 2004; Hoorweg et al., 2015). More recently, an adventitial stromal cell niche was implicated in the expansion of pulmonary ILC2s (Dahlgren et al., 2019). Our data unveiled a role for IGF1 in the maturation and expansion of ILC precursors in the lungs. This was consistent with the prior reports implicating IGF1 in self-renewal, and proliferation of myeloid and erythroid progenitor cells (Soon et al., 1999) and mesenchymal stem cells (Bendall et al., 2007). IGF1 is critical for the development of T and B cells from pluripotent precursors (Murphy et al., 1992) and promotes the development of innate lymphocytes like NK cells (Ni et al., 2013). We identified a population of PDGFRα+ alveolar fibroblast that were a critical organizing component of the ILC3 niche in the newborn lungs (Fig. S6H). Our data, coupled with contemporaneous reports (Mahlakoiv et al., 2019; Rana et al., 2019) suggested that fibroblast-like stromal cells are crucial organizing components for tissue macrophages, lymphocytes and DCs in both health and disease.
Finally, we showed that developmentally programmed expression of IGF1 in alveolar fibroblasts, linked postnatal lung growth with expansion and maturation of pulmonary ILC3 precursors, thus coordinating the concurrent development of lung and pulmonary mucosal defenses. Why would such coordination be necessary? Since the postnatal lung is subjected to processes of growth and remodeling lasting for a few weeks in mice to years in humans (Herriges and Morrisey, 2014), contemporaneous development can allow the developing lung to ‘instruct’ rapidly maturing pulmonary mucosal defenses (Lloyd and Marsland, 2017). This convergence in the timing of lung growth and immune maturation could ensure robust protection against respiratory pathogens while restricting damage to the organ’s critical gas exchange machinery. Our data potentially explain why perturbations incurred during development, for instance, premature birth and bronchopulmonary dysplasia are associated with increased risk of respiratory infections and chronic inflammatory disorders, for example, asthma, which persist beyond infancy into adolescence. Understanding how organ-specific cues instruct the ILC3 development may provide the framework to develop enduring lung protective strategies for infants and children.
STAR Methods:
LEAD CONTACT AND MATERIALS AVAILABILITY
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact Hitesh Deshmukh (hitesh.deshmukh@cchmc.org). Il22fl/fl used this study were obtained under an MTA agreement with mutant mouse resource and research center (MMRRC) that does not allow for distribution of lines generated. We will provide the Il22fl/fl mice to requesting labs that have received approval for the use of these mice via an MTA with MMRRC.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Mice:
Institutional Animal Care and Use Committee at Cincinnati Children’s Hospital Medical Center (CCHMC) approved all the animal studies (IACUC2014–0055), which were carried out in accordance with NIH’s Guide for the Care and Use of Laboratory Animals. We obtained Zbtb6CreGFP (Stock # 024529) (Constantinides et al., 2014), RorcCreGFP (Stock # 022971) (Eberl and Littman, 2004), Rosa26iDTR (Stock #007900)(Buch et al., 2005), Gli1CreER (Stock # 007913)(Ahn and Joyner, 2004), Igf1fl/fl (Stock # 016831)(Liu et al., 1998), Igf1rfl/fl (Stock # 012251)(Dietrich et al., 2000), Rag2−/−;Il2rg−/−(Stock # 014593)(Song et al., 2010) and B6 Cd45.1, Pep/BoyJ (Stock# 002014) from Jackson Laboratory. We obtained Il22fl/fl (Stock # 032402) from MMRRC. We bred Zbtb16Cre or RorcCre mice with Rosa26iDTR mice to generate Zbtb16iDTR or RorciDTR mice respectively. We bred RorcCre mice with Il22fl/fl mice to generate RorcΔIl22 mice. We bred Gli1CreER mice with Igf1fl/fl mice to generate Gli1CreER; Igf1fl/fl mice. We bred Zbtb16Cre or RorcCre mice with Igf1rfl/fl mice to generate Zbtb16ΔIgfr or RorcΔIgfr1mice, respectively. We backcrossed Zbtb16Cre or RorcGFP mice with Pep/BoyJ mice to generate Zbtb16Cre or RorcCre on CD45.1 background. Zbtb16Cre or RorcGFP mice on CD45.1 background were used to isolate ILC precursors, ILC2s or ILC3s for adoptive transfers. We maintained B6, Rosa26iDTR, Zbtb16Cre, Zbtb16iDTR, Gli1CreER, Igf1fl/fl, Igf1rfl/fl, Il22fl/fl, Rag2−/−;Il2rg−/−mice, B6 Cd45.1, Pep/BoyJ mice and Zbtb16Cre or RorcGFP on CD45.1 background at specific pathogen free (SPF) animal facility at CCHMC. We maintained the germ-free (GF) B6 mice in plastic isolator cages with autoclaved feed and water at CCHMC Germ-Free Core facility. We used male and female B6, Rosa26iDTR, Zbtb16CreGFP, Zbtb16DTR, Gli1CreER, Igf1l/fl, Gli1CreER; Igf1rfl/fl, Zbtb16ΔIgfr1, B6 CD45.1, Pep/BoyJ or GF B6 mice between ages PN1 and PN28 and appropriate, age- and genetic strain-matched controls to account for any variations in data. We determined group sizes necessary for adequate statistical power analysis using preliminary data sets. The mice were selected at random from the cohort but not formally randomized. We did not exclude any samples. The investigators were not blinded to group allocation during the collection and analysis of the data, due to the nature of the experiments.
Human samples:
The Institutional review board at CCHMC approved all the human studies. For the bronchopulmonary dysplasia (BPD) group, the biological samples were collected from prematurely born infants diagnosed with bronchopulmonary dysplasia (defined as need for supplemental oxygen or respiratory support beyond 28 days of life). These infants underwent bronchoscopy as part of routine clinical evaluation for ventilator dependence and respiratory failure. For control group, biological samples were collected from infants who underwent clinical evaluation of either upper airway obstruction or trachea bronchomalacia, common anomalies of the airways in infants. The samples were collected after obtaining informed consent from the parent (s) (IRB approval #2013–3309). Characteristics of the subjects, including the gestational age, sex and comorbidities are provided in Supplementary Table 3.
Bacteria:
S. pneumoniae serotype 19A was obtained from (ATCC 700674). We prepared large number of master stocks to limit frequent passage. Virulence was periodically validated to ensure the consistency of the results.
Cell lines:
Delta like 1 over expressing OP9 cell line was a gift from Dr. J. C. Zúñiga-Pflücker. Identity of specific sex from which these cells were derived is unknown.
METHOD DETAILS
Murine tamoxifen treatments:
Male or female newborn (PN1) Gli1CreER or Igf1fl/fl or Gli1CreER; Igf1fl/fl mice were treated with tamoxifen (200 microg g−1) (Sigma) or sham via the intraperitoneal.
Intratracheal delivery of diphtheria toxin:
Male or female newborn (PN3) RorciDTR or Zbtb16DTR or Rosa26iDTR or Zbtb16Cre or RorcCre mice were treated with diphtheria toxin (DT) (10 ng g−1) (Sigma) or sham via intratracheal route as follows. We first anesthetized the newborn mice with isoflurane (3% isoflurane/oxygen v/v mixture, 90–120 seconds) and confirmed the plane of anesthesia by toe pinching. Next, we aspirated 50 μl of air into a 100 μl gas-tight precision syringe (Hamilton Company, Reno, NV) by withdrawing the Teflon plunger of the syringe. Next, 50 μl of diphtheria toxin was aspirated into the syringe, by advancing the Teflon plunger from 50 μl mark to the 100 μl mark on the syringe body. Thus, when the sample was injected into an intubated newborn mouse, the 50 μl DT suspension was delivered first, followed by a 50 μl air cushion which distributed the DT suspension throughout the lung and ensured minimal dispersion into the esophagus. The syringe was then fitted with 24 or 26-gauge, 19 mm long intravascular catheter (BD Insyte). The anesthetized newborn mouse was secured on intubation platform with Velcro strips and the platform was inclined to 45°. This position resulted in slightly hyperextension of the neck and allowed optimal visualization of vocal cords. Then, we retracted the tongue with a rolling motion, using a micro cotton applicator tip with the dominant hand. An operating otoscope (Welch Allyn, #21700) fitted with 2 mm speculum (Welch Allyn, #22002) was gently introduced into oropharynx using the nondominant hand while maintaining tongue retraction. When introduced appropriately, the sides of the 2 mm speculum make a seal with the tracheal inlet. The glottis and the vocal cords were directly visualized under the magnification through the operating otoscope. The vocal cords appear shiny white and move with each breath. Extending the neck slightly further improved the visualization of vocal cords. The gas-tight precision syringe preloaded with DT and fitted with 24-gauge intravascular catheter was then gently introduced through the speculum with the dominant hand. The 24-gauge intravascular catheter was advanced through the vocal cords under direct visualization using the side of the speculum as a guide. We injected the liquid/air bolus into the trachea in one fluid motion by depressing the plunger with dominant hand and immediately withdrew the catheter and the speculum. The delivery of the liquid was verified by rhonchorous sounds made by the newborn mouse when breathing until the fluid was distributed fully in the lungs. The time taken for the procedure was around 3 minutes with 90–120 seconds to induce anesthesia with isoflurane and 30–45 seconds to identify and intubate the airways. The procedure was done by operators fluent in intubation and iv cannulation of extremely premature infants. To confirm preferential delivery of contents to the lungs we used 50 μl trypan blue solution in place of DT solution.
Fifteen minutes post injection, the animals were euthanized and presence or absence of trypan blue in stomach and the lung was confirmed by direct visualization (Supplementary Fig. 3A–H, Supplementary Video 5).
For infectious studies, we grew S. pneumoniae serotype 19A (ATCC 700674) with gentle aeration (37°C, 200 rpm) in tryptic soy (TS) broth to log-phase growth. Male or female mice were inoculated with S. pneumoniae (103 CFU g−1) or sham via the intratracheal route on PN5 or PN28. The animals were examined every six hours (h) for signs of distress and were euthanized 120 h later or earlier if moribund. For in vivo proliferation studies, age-defined newborn mice were treated with BrdU (Sigma) (500 micro g g−1) via the intraperitoneal route.
Murine model of BPD:
For hyperoxia studies, male or female newborn B6 mice were continuously exposed to oxygen concentration ≥90% O2 or 21% (room air) from birth up to PN7 as done previously (Warner et al., 1998). Nursing dams were rotated between groups every 48 hr to prevent oxygen toxicity to the dams. The newborn mice were allowed to recover in room air for 1 day and inoculated S. pneumoniae (103 CFU g−1) via the intratracheal route on PN8.
Preparation of single cell suspensions:
Male or female age-defined mice were anesthetized with ketamine/xylazine and 1 ml of PBS (Sigma-Aldrich) was injected into the right ventricle to perfuse the lung tissue. To isolate lymphocytes from the lungs, lung tissues from 4–6 newborn mice were pooled together, diced and incubated (37 °C, 30 min) with shaking (150 r.p.m.) in digestion buffer (RPMI 1640 with 10% FBS, 15 mM HEPES, 1% penicillin/streptomycin (wt/vol) and 300 U ml−1 collagenase VIII), then pressed through a 100-μm nylon strainer and centrifuged (4°C, 400 × g, 5 min). The cells were resuspended in RPMI 1640 with 10% FCS. The pooled preparations or single cells constituted a single data point in our analysis. To isolate SI lymphocytes, the SI from 4 newborn mice were pooled together, flushed with PBS, diced and incubated (37 °C, 30 min) with shaking (150 r.p.m.) in digestion buffer (RPMI 1640 with 10% FBS, 1 mM EDTA, 1 mM DTT, 1% penicillin/streptomycin (wt/vol), 0.2 mg ml−1 DNase I and 300 U ml−1 collagenase VIII) and pressed through a 100-μm nylon strainer and centrifuged (4°C, 400 × g, 5 min). Freshly isolated livers or femurs and tibias from 4 newborn mice were pooled together. Liver tissue was gently dissociated by mechanical agitation and bone marrow was released by gently crushing femurs and tibias. The resulting single cell suspension was pressed through 100 μm nylon strainer. The pooled preparations of liver or bone marrow cells constituted a single data point in our analysis.
Flow cytometry:
The cells were pooled from male or female six PN3 newborn mice. Cells (1 × 107) were incubated (4°C, 30min) with anti-mouse CD16/CD32 (93) to block Fc receptors. The cells were re-incubated (4 °C, 30 min) with anti-mouse CD3ε antibody (145–2C11), anti-mouse CD5 antibody (53–7.3), anti–mouse CD8 antibody (53–5.8), anti–mouse CD11b antibody (M1/70), anti-mouse CD11c (N418), anti–mouse CD19 antibody (1D3), anti-mouse CD25 antibody (PC61.5), anti-mouse CD45.1 (A20), anti-mouse CD45.2 (104), anti-mouse CD117 antibody (ACK2), anti-mouse Ly6G antibody (1A8), anti-mouse F4/80 antibody (BM8), anti-mouse FLT3 antibody (A2F10), anti-mouse α4β7 antibody (DATK32), anti-mouse NKp46 antibody (29A1.4), anti-mouse CCR6 antibody (29–2L17), anti-mouse KLRG1 antibody (2FI) (all diluted 1:100), anti-mouse NK1.1 (PK136) (diluted 1:50), anti-mouse PD1 antibody (J43) and anti–mouse CD127 antibody (A7R34) (diluted 1:50). For intracellular staining, we washed and fixed (4 °C, 60 min) the surface-stained cells in 1X Cytofix/Cytoperm buffer (BD Biosciences) and permeabilized them (4 °C, overnight) using 1X Permeabilization Buffer (BD Biosciences) according to manufacturer instructions. We stained the cells intracellularly with anti–mouse RORγt antibody (Q31–378), anti-mouse T-bet antibody (4B10), anti-mouse ZBTB16 antibody (R17–809), anti-mouse TCF7 antibody (812145), anti-mouse GATA3 antibody (16E10A23), anti-mouse Id2 antibody (17-9475-82) anti-mouse Eomes antibody (TBR2) (all diluted 1:50) and anti-mouse BrdU antibody (Bu20a) (diluted 1:100) and then washed (2×) and resuspended them in flow cytometry buffer. We collected the data with LSRII (BD Biosciences) and analyzed the data with FlowJo (Treestar). Antibodies were obtained from either eBioscience or Biolegend or Bioxcell. CLP were identified as CD45+Lin−CD25−ICOS−CD117+Sca-1-CD127+α4β7−CD135+Id2−PD1−RORγt−GATA3− cells. ZBTB16+ ILC precursors (ILCP) were identified as CD45+Lin−CD25−ICOS−CD127+α4β7+CD135−CD25−Id2+PD1+GATA3−RORγt-ZBTB16+ cells. ILC1 were identified as CD45+Lin−CD127+RORγt−GATA3−NK1.1+NKp46+ cells. ILC2 were identified as CD45+Lin−CD127+ RORγt−GATA3+ cells. ILC3s were identified as CD45+Lin−CD127+ RORγt+GATA3− cells. Lineage panel included CD3ε, CD5, F4/80, CD11b, CD19 and Ly6G.
Isolation of pulmonary ZBTB16+ ILC precursors:
We pooled lungs from 10–12 (P1) newborn ZBTB16CreGFP mice (on CD45.1 background). Single cells were stained with 7-AAD Viability staining solution (Biolegend), anti-mouse CD3ε antibody (145–2C11), anti–mouse CD4 antibody (GK1.5), anti-mouse CD8 antibody (53–5.8), anti–mouse CD11b antibody (M1/70), anti-mouse CD11c (N418), anti–mouse CD19 antibody (1D3), anti-mouse B220 (2FI), anti-mouse LY6G antibody (1A8), anti-mouse NKp46 antibody (29A1.4), anti-mouse α4β7 antibody (DATK32), anti-mouse CCR6 antibody (29–2L17), anti–mouse CD127 antibody (A7R34) and anti-mouse KLRG1 antibody (2FI) (all diluted 1:100, Biolegend). The stained cells were sorted with Sony SH800S. ZBTB16+ ILC precursors were sorted as Live CD45+Lineage (CD3ε, CD4, CD8, CD11b, CD11c, CD19, B220 and Ly6G), CD127+α4β7+NKp46−KLRG1−CCR6−CD25−PD1+GFP+ cells. Using this protocol, we isolated an enriched population of 800–1000 ZBTB16+ ILC precursors. We confirmed the purity of the sorted population by intracellular staining with anti-mouse RORγt antibody (Q31–378), anti-mouse T-bet antibody (4B10), anti-mouse PD1 antibody (J43), anti-mouse Id2 antibody (17-9475-82) and anti-mouse GATA3 antibody (16E10A23) (all diluted 1:50) (Supplementary Fig. 5 A, B). The cells were resuspended in normal saline to final concentration of 1×103 cells/100 μl. We adoptively transferred 1×103 ZBTB16+ ILC precursors via ntratracheal route.
Isolation of pulmonary ILC2 and ILC3:
We pooled lungs from 8–10 (P1) newborn RORCGFP/+ mice (on CD45.1 background). We used a sorting strategy described before (Chu et al., 2018). Single cells were stained with 7-AAD Viability staining solution (Biolegend), anti-mouse CD3ε antibody (145–2C11), anti–mouse CD5 antibody (53–7.3), anti-mouse FcεR1 antibody (Mar-1), anti–mouse B220 antibody (RA3–6B2), anti–mouse CD11b antibody (M1/70), anti-mouse CD11c (N418), anti–mouse CD19 antibody (1D3), anti–mouse CD127 antibody (A7R34), anti-mouse KLRG1 (2FI), anti-mouse Nk1.1 antibody (PK136) (all diluted 1:100). The stained cells were sorted with Sony SH800S. ILC2 were sorted as Live CD45+Lineage (CD3ε, CD5, CD11b, CD11c, FcεR1 and B220) CD127+(RORγt)GFP−KLRG+ NK1.1−cells. Using this protocol, we isolated approximately 20,000 ILC2s. ILC3s were sorted as Live CD45+Lineage (CD3ε, CD5, CD11b, CD11c, FcεR1 and B220) CD127+(RORγt)GFP+ KLRG− NK1.1− cells. Using this protocol, we isolated approximately 8000–10,000 ILC3s. We confirmed the purity of the sorted population by intracellular staining with anti-mouse RORγt antibody (Q31–378) and anti-mouse GATA3 antibody (16E10A23) (all diluted 1:50) (Supplementary Fig. 4A). The cells were resuspended in normal saline to final concentration of 1×104 cells/100 μl. We adoptively transferred 5×103 ILC3s or 104 ILC2s via intratracheal route.
Alveolar aggregate assay:
We generated alveolar aggregate as described previously(Frank et al., 2016) with modifications. We pooled and cut the freshly isolated lungs from 3–4 age-defined mice (P3 or p28) mice and incubated (37 °C, 30 min) the cut tissues with shaking (150 r.p.m.) in digestion buffer (RPMI 1640 with 10% FBS, 15 mM HEPES, 1% penicillin/streptomycin (wt/vol) and 300 U ml−1 collagenase VIII) and pressed through a 100-μm nylon strainer to obtain single-cell suspension. We incubated (25°C, 1 h) the cells (1 × 107) with anti-CD131(clone REA193, 1:10), anti-CD45.2 (V450, 1:100), anti-CD140 (APA5, 1:10), anti-CD326 antibody (caa7–9G8, 1:10) (all from BD biosciences) and anti- CD31 (MEC13.3, 1:100, BD Biosciences). The cells were washed, resuspended in FACS buffer supplemented with 5% FBS and sorted using FACSAria II (BD Biosciences) cell sorter into either epithelial cells (defined as CD45−CD131+CD146−CD310−) or fibroblast (CD45−CD131−CD146+CD310−). To isolate ZBTB16+ ILC precursors, we pooled and cut the freshly isolated lungs from newborn (P3) ZBTB16CreGFP mice and incubated (37 °C, 30 min) the cut tissues with shaking (150 r.p.m.) in digestion buffer (RPMI 1640 with 10% FBS, 15 mM HEPES, 1% penicillin/streptomycin (wt/vol) and 300 U ml−1 collagenase VIII) and pressed through a 100-μm nylon strainer to obtain single-cell suspension. The cells were washed, then stained as described earlier. ZBTB16+ ILC precursors were sorted as Live CD45+Lineage (CD3ε, CD4, CD8, CD11b, CD11c, CD19, B220 and Ly6G), CD127+α4β7+NKp46−KLRG1−CCR6−CD25−PD1+GFP+ cells.
Acellular matrix composed of Matrigel and serum-free growth medium was prepared as described before (Frank et al., 2016). One hundred micro L of 1:1 mixture of Matrigel (growth factor reduced, phenol-red free) (Corning) and serum-free epithelial cell growth medium [DMEM:F12 supplemented with murine EGF (25 ng ml−1), bovine pituitary extract (30 micro g ml−1), insulin (5 micro g ml−1), transferrin (5 micro g ml−1), retinoic acid (15 ng ml−1) and 0.5% Amphotericin (wt/vol)] was pipetted in 6.5 mm transwell with 3.0 μm pore polycarbonate membrane insert (Corning). After solidification, the cellular matrix consisting of epithelial cells (105) and fibroblasts (105) suspended in epithelial cell growth medium was layered on top of the acellular matrix and the insert was placed in 24 well transwell plate (Corning). Serum-free epithelial cell growth medium [DMEM:F12 with EGF, bovine pituitary extract, insulin, transferrin, retinoic acid and Amphotericin)] supplemented with Rho-associated, coiled-coil containing protein kinase (ROCK) inhibitor, Y-27632 (10 uM) (ThermoFischer) was added to the bottom of the well and cultures were incubated (37°C, 5% CO2) for 24 hr to stabilize the matrix. ZBTB16+ ILC precursors (102) suspended in DMEM:F12 were layered on top of the matrix. The medium in the bottom of the well was replaced with serum free epithelial growth medium [DMEM:F12 with EGF, bovine pituitary extract, insulin, transferrin, retinoic acid and Amphotericin)] containing murine IL-7 (25 ng ml−1) (R&D) and stem cell factor (25 ng ml−1) (BioLegend) with or without IL-23 or IL-33 (both 20 ng ml−1) (R&D). The aggregates were incubated 37°C, 5% CO2) for 96 hrs. BrdU (10 micro M) was added to the culture medium 2 hr prior to harvest. The aggregates were incubated with 1X Matrisperse Cell recovery solution (4 °C, 60 min) (BD Biosciences) to liberate cells. The cells were washed, resuspended in FACS buffer and number of ZBTB16+ ILC precursors and mature ILC3s were quantified by flow cytometry. Conditioned medium was collected from the bottom of the well and snap frozen for further analysis.
In complementation studies, the cellular matrix consisting of epithelial cells (105) alone (without any fibroblast) was layered on top of the acellular matrix. Twenty-four hours later ZBTB16+ ILC precursors (102) suspended in DMEM:F12 were layered on top and the aggregates were cultured as described in the above section. Conditioned medium was collected from the bottom of the well and snap frozen for further analysis and number of ZBTB16+ ILC precursors and mature ILC3s were quantified by flow cytometry as before.
In studies involving neutralizing antibodies, alveolar aggregates were incubated with either anti-IGF1 antibody (0.5 micro g ml−1) (Santa Cruz, SC 461) or anti-IL33R antibody (1 micro g ml−1) (R&D Biosystems, AF 1004) or anti-IgG antibody (0.5 micro g ml−1). The above reagents were added at the time of the first media change (after removal of ROCK inhibitor). For OP9-DL1 cultures, OP9-DL1 stromal cells were incubated (37°C, 5% CO2) with Opti-MEM (supplemented with 5% FBS, 1 % penicillin/streptomycin (wt/vol) and 60 micro M 2-mercaptoethanol) to 70% confluence. ZBTB16+ ILC precursors (102) were co-incubated (37°C, 5% CO2, 96 hrs) with OP9-DL1 cells in presence of murine IL-7 (25 ng ml−1) (R&D), stem cell factor (25 ng ml−1) (BioLegend) with or without IL-23 or IL-33 (both 20 ng ml−1) (R&D) as described before (Constantinides et al., 2014). BrdU (10 micro M) was added to the culture medium 2 hr prior to harvest. The cells were incubated with 1X cell recovery solution (4 °C, 60 min) (BD Biosciences) followed by incubation (4 °C, 60 min) with 0.25% Trypsin-EDTA to liberate cells.
The cells were washed, resuspended in FACS buffer and number of ZBTB16+ ILC precursors and mature ILC3s were quantified by flow cytometry.
Competitive in vivo expansion assay:
To compare the proliferative potential of ILC precursors, we isolated CLP from the newborn liver by negative and positive selection as described before (Sitnicka et al., 2002). Briefly, pooled liver tissue > 10 newborn mice was gently dissociated by mechanical agitation and strained through a 100-μm nylon filter to obtain single-cell suspension. Cells (1 × 1010) were incubated (4°C, 30 min) with anti-mouse CD16/CD32 (93) to block Fc receptors, then re-incubated with lineage cocktail [anti-mouse CD3ε antibody (145–2C11), anti–mouse CD4 antibody (GK1.5), anti–mouse CD8 antibody (53–5.8), anti–mouse CD11b antibody (M1/70), anti-mouse CD11c (N418), anti–mouse CD19 antibody (1D3), anti-mouse Ly6G antibody (1A8), anti-mouse F4/80 antibody (BM8)], anti-mouse CD117 antibody (ACK2), anti–mouse CD127 antibody (A7R34), anti-mouse FLT3 antibody (A2F10), anti-mouse α4β7 antibody (DATK32) and anti-mouse Sca1 (LY-6A/E) (D7) (all diluted 1:100, Biolegend). The cells were washed, resuspended in FACS buffer supplemented with 5% FBS and sorted using FACSAria II cell sorter into CLP, defined as CD45+Lin−CD25−ICOS−CD117+Sca-1−CD127+α4β7-CD135+Id2−PD1−RORγt−GATA3− cells. This protocol yielded approximately 3×10 CLP5 cells. CLP (105 cells) isolated from either newborn (P1) ZBTB16ΔIgfr1 or ZBTB16Cre (CD45.2+) mice or CD45.1+ mice were mixed in ratio of 1:1 and injected via intrahepatic injection into age-matched newborn (P1) Rag2−/−; Il2rg−/− mice that were sublethally irradiated (4.2 Gy) on the same day as done previously (Lopez-Lastra et al., 2017). Two weeks post-reconstitution, single cell suspensions were isolated from various organs (lungs, SI, liver and BM) of the mixed chimeric animals. Number of CLPs, ZBTB16+ ILC precursors and mature ILC3s were quantified by flow cytometry and normalized to the reconstitution ratio of each chimera, as determined by the CD45.2+/CD45.1+ ratio of hepatic or BM lymphocytes.
To compare the proliferative potential of ILC precursors from newborn (P1) or adult mice, CLP (105 cells) isolated from either newborn (P1) (CD45.2+) mice or adult CD45.1+ mice were mixed in ratio of 1:1 and injected via intrahepatic injection into either newborn (P1) or adult Rag2−/−; Il2rg−/− mice that were sublethally irradiated (4.2 Gy) on the same day. Two weeks post-reconstitution, number of CLP, ZBTB16+ ILC precursors and mature ILC3s were quantified by flow cytometry.
Histology, cell counts and spatial distance quantification:
Age-defined Zbtb16CreGFP mice or B6 mice were anesthetized with ketamine/xylazine and 1 ml of PBS was injected into the right ventricle to perfuse the lung tissue. Lungs were inflation fixed with 2% paraformaldehyde, then dehydrated, paraffin embedded and sectioned into 20 micro M thick slices. Sections were subjected to heat mediated antigen retrieval with use of citrate buffer in microwave. Following antigen retrieval, the sections were incubated (4°C, overnight) with chicken anti-mouse GFP (1:500) (ThermoFischer, A10262), rabbit anti-mouse NKX2.1 (1:1000) (Seven Hills Bioreagents, 1231), mouse anti-mouse PDGFRα (1:100) (ThermoFischer, APA5), hamster anti-mouse IGF1 (1:100) (Millipore, Sm1.2) and DAPI. The immunostained lung tissues were imaged by Nikon Eclipse confocal microscope in 1-μm optical sections. Z-stacks were obtained from at least five random areas of each lung tissue and from a minimum of n = 3 mice. Number of IGF1+ cells were determined with Cell Counter plug-in for ImageJ. Cells were counted in at least three different areas for each mouse, to obtain a total count of >500 cells at each postnatal time point (P1, P3, P7, P14, P21 and P28). Spatial distance was quantified using Imaris software (Bitplane). Distance vectors, calculated in Imaris software, were drawn from the ZBTB16+ cell to the nearest NKX2.1+ cell or PDGFRα+ cell with the Xtension tool for >500 cell pairs at each postnatal time point (P1, P3, P7, P14, P21 and P28) by a blinded researcher as described previously. For image presentation, images obtained with automatic deconvolution algorithms in Nikon Elements software are presented.
Stable isotope labeling of amino acids and quantitative assessment of proteins in the conditioned medium:
For quantitative assessment of secreted proteins in the conditioned medium, the alveolar aggregate assay performed with or without fibroblast in presence of serum free epithelial growth medium with DMEM:F12 containing either heavy 13C6 L-Lysine-2HCl or non-heavy 12C6 L-Lysine-2HCl (ThermoFischer). Incorporation of heavy 13C6 L-Lysine in alveolar aggregates at time of harvest > 85%. The conditioned medium was centrifuged (4°C, 1500 × g, 10 min) to eliminate cellular debris and proteins were precipitated with acetone (−20°C, 12 hr), centrifuged (4°C, 10000 × g, 1 hr). The pellet was air dried (25°C, 30 min) and suspended in RIPA buffer. The proteins were separated by 4–12% Bis-Tris gels with MOPS running buffer and stained with coomassie blue. After destaining, each gel lane was cut into 20 bands, dehydrated and reduced (56°C, 30 min) with acetonitrile and dithiothreitol (10 mM) respectively and then incubated (25°C, overnight) with 1% trypsin in 10 mm ammonium bicarbonate and 10% (vol/vol) acetonitrile. Digested peptides were centrifuged (4°C, 10000 × g, 1 hr) and resuspended in 0.1% (vol/vol) formic acid for LC-MS/MS analysis. Digested peptides were analyzed with LC–nanospray-MS/MS with LTQ-OrbiTrap XL linear ion trap mass spectrometer (ThermoFischer). Peptide samples were desalted on RP trap columns (Zorbax 300 SB C18, Agilent Technologies, and separated on an RP column (150 μm, 150 mm length, New Objective). The mobile phase A was 0.1% formic acid in HPLC-grade water, and the mobile phase B was 0.1% formic acid in acetonitrile. The peptides were loaded on the columns to separate with a flow rate of 2 μl/min by using a linear gradient of 4%–50% B for 110 min, 50%–100% B from 110 min to 115 min and sustained at 100% B for 5 min. Data-dependent MS/MS spectra were obtained simultaneously. Each scan cycle consisted of one full MS scan in profile mode followed by seven MS/MS scans in centroid mode.
MaxQuant (version 1.5.1.2) was used for protein identification and quantitation(Tyanova et al., 2016a). Mass spectrometry data were searched against Ensembl version GRCm38_71 (released April, 2013) using Andromeda(Cox et al., 2011). Carbamidomethyl (C) was selected as a fixed modification, and oxidation (M), acetyl (protein N-term) and 13C6-Lys labeling were set as the variable modification. Initial peptide mass tolerance was set to 7 ppm and fragment mass tolerance was 0.5 Da. At least 1 unique peptide per protein group and minimum peptide length of 7 amino acids was required for identification. The maximum false discovery rate (FDR) cutoff of 0.01 (1%) was set for both the peptide spectra matches and the protein group levels. Abundance estimation of the identified proteins was performed using intensity-based absolute quantification (iBAQ) values with Perseus (version1.5.8.5) as described before (Tyanova et al., 2016b). 271 proteins were identified in CM from alveolar aggregates with fibroblast, of which 185 were quantified by 13C6-Lys labeling. 192 proteins were identified in CM from alveolar aggregates without fibroblast, of which 123 were quantified by 13C6-Lys labeling. A total of 92 proteins were both uniquely identified and quantified in CM from alveolar aggregates with fibroblast and alveolar aggregates without fibroblast. A two-tailed unpaired t-test was used to identify differentially abundant proteins between two experimental conditions (alveolar aggregates with or without fibroblast). Of 92, 34 proteins were differentially abundant (defined as > log2 fold change and p value <0.05) in CM from alveolar aggregates with fibroblast, compared to CM from alveolar aggregates without fibroblast. Gene Ontology (GO) enrichment analysis was performed using the ToppGene Suite (http://toppgene.cchmc.org/).
Human studies:
The bronchial lavage (BAL) fluid samples were centrifuged (4°C, 10 min, 400 g). The resultant supernatant was frozen (−80 °C) and the cells were cryopreserved (−150 °C) in 90% FBS and 10% DMSO. We used the frozen supernatant and cryopreserved cells in our analysis (IRB approval #2015–7983). Characteristics of the subjects are provided in Table S3. After thawing, we incubated (4°C, 30 min) the cells (0.5 × 105) with anti-human CD3 (UCHT1), anti-human CD5 (UCHT2), anti-human CD11c (S-HCL-3), anti-human CD11b (M1/70), anti-human CD19 (HIB19), anti-human FcεRI (AER-37), anti-human CD34 (581), anti-human CD14 (HCD14), anti-human CD45 (HI30), anti-human CD127 (A019D5) and isotype-matched control antibodies (MOPC-173) (all diluted 1:100). The cells were then treated with 10 ng/ml phorbol 12-myristate 13-acteate (PMA) and 500 ng/ml calcium ionophore A23187 (both from Sigma-Aldrich) (4 °C, 60 min). The cells were then washed and fixed (4 °C, 60 min) in 1X Cytofix/Cytoperm buffer (BD Biosciences) and permeabilized (4 °C, overnight) using 1X Permeabilization Buffer (BD Biosciences) according to manufacturer instructions. The permeabilized cells were incubated with anti-human GATA-3 (TWAJ), anti-human RORγT (AFKJS-9) and anti-human IL-22 antibody (22URTI) (all 1:100, all eBiosciences) as described before (De Grove et al., 2016).
Transcriptome analysis:
The full data sets for murine single-cell RNA-seq experiments are available in the NHLBI LungMAP (Ardini-Poleske et al., 2017) web resource (https://lungmap.net/breath-download-page/) or can be downloaded from NCBI Sequence Read Archive (Accession # GSE122332). For single cell transcriptome analysis, lungs from newborn mice were dissociated by mechanical agitation. The resulting single-cell suspension was used to perform Drop-seq as described previously(Macosko et al., 2015). Drop-seq library was sequenced using Illumina HiSeq. The paired-end reads were aligned to mouse genome build GRCm38/mm10 using HISAT. Drop-seq tools (Version 1.12) (http://mccarrolllab.com/download/922/version 1.12) was used to generate digital expression matrix as done previously(Shekhar et al., 2016). The expression matrix was processed with Seurat (version 2.2) to identify major cell types and perform t-Distributed Stochastic Neighbor Embedding (tSNE) analysis as described before(Butler et al., 2018). t-SNE gene expression overlays were carried out using the FeaturePlot function in Seurat. These data can be accessed publicly at Gene Expression Omibus Database (GSE122332)
Transcriptome analysis of lung vs. bone marrow ZBTB16+ ILC precursors:
We pooled lungs or bone marrow from 10–12 (P3) newborn ZBTB16CreGFP mice. Single cells were stained with 7-AAD Viability staining solution (Biolegend), anti-mouse CD3ε antibody (145–2C11), anti–mouse CD4 antibody (GK1.5), anti-mouse CD8 antibody (53–5.8), anti–mouse CD11b antibody (M1/70), anti-mouse CD11c (N418), anti–mouse CD19 antibody (1D3), anti-mouse B220 (2FI), anti-mouse LY6G antibody (1A8), anti-mouse NKp46 antibody (29A1.4), anti-mouse α4β7 antibody (DATK32), anti-mouse CCR6 antibody (29–2L17), anti–mouse CD127 antibody (A7R34) and anti-mouse KLRG1 antibody (2FI) (all diluted 1:100, Biolegend). The stained cells were sorted with Sony SH800S. ZBTB16+ ILC precursors were sorted as Live CD45+Lineage (CD3ε, CD4, CD8, CD11b, CD11c, CD19, B220 and Ly6G), CD127+α4β7+NKp46−KLRG1−CCR6−CD25−PD1+GFP+ cells. Using this protocol, we isolated an enriched population of 800–1000 ZBTB16+ ILC precursors. Individually indexed libraries were generated from approximately 5000 ZBTB16+ ILC precursors from respective tissue using the Illumina TruSeq Stranded Total RNA kit. The libraries were sequenced with Illumina HiSeq lanes, yielding over 250 million 100bp single-end reads. Reads were mapped to the mm10 genome using HISAT2 with default parameters, and gene counts were obtained with Seqmonk (version 1.45.1). Putative genes, pseudo-genes, allosomal genes, and genes with fewer than 5 counts per million (CPM) were excluded from analyses. Gene counts were normalized using edgeR (Robinson and Oshlack, 2010) and then transformed to log2-CPM and modeled as a function of genotype using the limma package to determine differential expression across conditions(Ritchie et al., 2015). Results were corrected for multiple testing using the Benjamini and Hochberg method to produce FDR-adjusted p values. These data can be accessed publicly at NCBI Short Read Archive (Accession # PRJNA599444).
For analysis of Igf1 gene expression, we used previously published RNAseq datasets (Endale et al., 2017a),(Endale et al., 2017b). In this study, high-quality RNA isolated from 105 sorted PDGFRα+ alveolar fibroblast from fetal (E18.5), newborn (P7, P14) or adult (P21) mice was sequenced using Illumina HiSeq 2500. The raw sequencing reads were aligned to mouse genome build GRCm38/mm10 using HISAT. Seqmonk (version 1.41.0) was used to summarize and normalize counts, which were expressed as reads per kilobase per million mapped reads.
For analysis of IGF1 gene expression in lungs of human infants, we used previously published RNAseq datasets (Du et al., 2017). The study does not qualify as “human subjects” research, as confirmed by the CCHMC IRB. Lungs from brain-dead (deceased) neonates (age <28 days) (n=4), children (age > 1 year and <10 years) (n=6) and adult (age>20 years) (n=1) obtained from Lung MAP consortium were dissociated by enzymatic digestion to obtain single cell suspension and then enriched by flow cytometry. High-quality RNA isolated from sorted epithelial (CD45-CD326+CD31−CD144−), endothelial (CD45−CD326−CD31+CD144+), immune (CD45+CD326-CD31−CD144−), and mesenchymal cells (CD45−CD326−CD31−CD144−) was sequenced with Illumina2500. Sequences were aligned to GRCh38p2 using HISAT. Seqmonk (version 1.41.0) was used to summarize and normalize counts. The full data sets for murine or human RNA-seq experiments are available in the NHLBI LungMAP(Ardini-Poleske et al., 2017) web resource (https://lungmap.net/breath-download-page/).
QUANTIFICATION AND STATISTICAL ANALYSIS
Statistics:
Each data point represents a pool of 5–6 newborn mice that were pooled before the isolation of lymphocytes from the indicated tissue. All data meet the assumptions of the statistical tests used. We compared differences between groups by the either unpaired two-tailed Student’s t-test or ANOVA or Wilcoxon signed-rank test. We used Pearson correlation coefficient to measure correlation between different variables. We used the Kaplan-Meier log-rank test to compare survival between groups. (All in GraphPad Prism 6.0). P-values are indicated as follows: * p ≤ 0.05 or ** p ≤ 0.01.
DATA AND CODE AVAILABILITY
The accession numbers for the bulk RNA-Seq and scRNA-Seq data reported in this paper are Gene Expression Omnibus GSE122332 and PRJNA599444.
Raw data related to the figures reported in this paper are available at Mendeley Data and can be accessed at http://dx.doi.org/10.17632/zkj6v7s8cp.1
Supplementary Material
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
anti-mouse CD3ε antibody | BioLegend | Clone: 145–2C11 |
anti-mouse CD5 antibody | BioLegend | Clone: 53–7.3 |
anti–mouse CD8 antibody | BioLegend | Clone: 53–5.8 |
anti–mouse CD11b antibody | BioLegend | Clone: M1/70 |
anti-mouse CD11c | BioLegend | Clone: N418 |
anti–mouse CD19 antibody | BioLegend | Clone: 1D3 |
anti-mouse CD25 antibody | BioLegend | Clone: PC61.5 |
anti-mouse CD45.1 | BioLegend | Clone: A20 |
anti-mouse CD45.2 | BioLegend | Clone: 104 |
anti-mouse CD117 antibody | BioLegend | Clone: ACK2 |
anti-mouse Ly6G antibody | BioLegend | Clone: 1A8 |
anti-mouse F4/80 antibody | BioLegend | Clone: BM8 |
anti-mouse FLT3 antibody | BioLegend | Clone: A2F10 |
anti-mouse α4β7 antibody | BioLegend | Clone: DATK32 |
anti-mouse NKp46 antibody | BioLegend | Clone: 29A1.4 |
anti-mouse CCR6 antibody | BioLegend | Clone: 29–2L17 |
anti-mouse KLRG1 antibody | BioLegend | Clone: 2FI |
anti-mouse NK1.1 | BioLegend | Clone: PK136 |
anti-mouse PD1 antibody | Bioxcell | Clone: J43 |
anti–mouse CD127 antibody | BioLegend | Clone: A7R34 |
anti–mouse RORγt antibody | BD Biosciences | Clone: Q31–378 |
anti-mouse T-bet antibody | BioLegend | Clone: 4B10 |
anti-mouse ZBTB16 antibody | BD Biosciences | Clone: R17–809 |
anti-mouse TCF7 antibody | BioLegend | Clone: 812145 |
anti-mouse GATA3 antibody | BioLegend | Clone: 16E10A23 |
anti-mouse Id2 antibody | ThermoFisher | Clone: 17-9475-82 |
anti-mouse Eomes antibody | ThermoFisher | Clone: TBR2 |
anti-mouse BrdU antibody | BioLegend | Clone: Bu20a |
anti–mouse CD4 antibody | BioLegend | Clone: GK1.5 |
anti-mouse B220 | BioLegend | Clone: 2FI |
anti-mouse FcεR1 blocking antibody | BD Biosciences | Clone: 93 |
anti-CD131 | BD Biosciences | Clone: REA193 |
anti-CD45.2 | BD Biosciences | Clone: V450 |
anti-CD140 | BD Biosciences | Clone: APA5 |
anti-CD326 antibody | BD Biosciences | Clone: G8.8 |
anti- CD31 | BD Biosciences | Clone: MEC13.3 |
anti-IGF1 | Santa Cruz | Clone: SC 461 |
anti-IL33R | R&D Biosystems | Clone: AF1004 |
anti-IgG | BioLegend | Clone: RMG1–1 |
anti-mouse Sca1 | BioLegend | Clone: D7 |
chicken anti-mouse GFP | ThermoFisher | Catalog: A10262 |
rabbit anti-mouse NKX2.1 | Seven Hills Bioreagents | Clone: 1231 |
mouse anti-mouse PDGFRα | ThermoFisher | Clone: APA5 |
hamster anti-mouse IGF1 | Millipore | Clone: Sm1.2 |
anti-human CD3 | BioLegend | Clone: UCHT1 |
anti-human CD5 | BioLegend | Clone: UCHT2 |
ant--human CD11c | BioLegend | Clone: S-HCL-3 |
anti-human CD11b | BioLegend | Clone: M1/70 |
anti-human CD19 | BioLegend | Clone: HIB19 |
anti-human FcεRI | BioLegend | Clone: AER-37 |
anti-human CD34 | BioLegend | Clone: 581 |
ant-human CD14 | BioLegend | Clone: HCD14 |
anti-human CD45 | BioLegend | Clone: HI30 |
anti-human CD127 | BioLegend | Clone: A019D5 |
isotype-matched control antibodies | BioLegend | Clone: MOPC-173 |
anti-human GATA-3 | eBiosciences | Clone: TWAJ |
anti-human RORγT | eBiosciences | Clone: AFKJS-9 |
anti-human IL-22 antibody | eBiosciences | Clone: 22URTI |
Bacterial and Virus Strains | ||
S. pneumoniae serotype 19A | ATCC | Catalog: 700674 |
Biological Samples | ||
Preterm human infants diagnosed with bronchopulmonary dysplasia or term healthy infants. | CD45+ cells in Bronchial lavage fluid | NA |
Chemicals, Peptides, and Recombinant Proteins | ||
True Nuclear Transcription Factor Buffer | BioLegend | Catalog: 424401 |
Zombie NIR fixable viability marker | BioLegend | Catalog: 423105 |
Matrigel (growth factor reduced, phenol-red free) | Corning | Catalog: 356238 |
Protein kinase (ROCK) inhibitor, Y-27632 | ThermoFisher | BDB562822 |
murine IL-7 | R&D | Catalog: 407-ML-005 |
stem cell factor | BioLegend | Catalog: 579702 |
1X Matrisperse Cell recovery solution | BD Biosciences | Catalog: 354253 |
phorbol 12-myristate 13-acteate (PMA) | Sigma Aldrich | Catalog: P8139 |
calcium ionophore A23187 | Sigma Aldrich | Catalog: C7522 |
DMEM:F12 containing heavy and non-heavy 13C6 L-Lysine-2HCl | ThermoFisher | Catalog: 88439 |
Critical Commercial Assays | ||
Illumina TruSeq Stranded Total RNA kit | Illumina | RS-122–2201 |
Deposited Data | ||
Single-cell and time-course RNA-seq experiments from newborn lungs | NCBI SRA | GEO accession # GSE122332 |
RNA-seq of sorted ZBTB16+ ILC precursors from newborn lungs and bone marrow | NCBI SRA | GEO accession # PRJNA599444 |
Raw Data | Mendeley Data | http://dx.doi.org/10.17632/zkj6v7s8cp.1 |
Experimental Models: Cell Lines | ||
OP9-DL1 | Dr. J. C. Zúñiga-Pflücker | N/A |
3D Alveolar Aggregates | This manuscript | N/A |
Experimental Models: Organisms/Strains | ||
Zbtb16CreGFP | Jackson Laboratory | Stock # 024529 |
RorcCreGFP | Jackson Laboratory | Stock # 022971 |
Rosa26iDTR | Jackson Laboratory | Stock #007900 |
Gli1CreER | Jackson Laboratory | Stock # 007913 |
Igf1fl/fl | Jackson Laboratory | Stock # 016831 |
Igf1rfl/fl | Jackson Laboratory | Stock # 012251 |
Rag2−/−;Il2rg−/− | Jackson Laboratory | Stock # 014593 |
B6 Cd45.1, Pep/BoyJ | Jackson Laboratory | Stock# 002014 |
Il22fl/fl | mutant mouse resource and research center (MMRRC | Stock # 032402 |
Software and Algorithms | ||
FlowJo | Treestar | https://www.flowjo.com/ |
ImageJ | ImageJ | https://imagej.nih.gov/ij/ |
Imaris software | Bitplane | http://www.bitplane.com/ProductDetail.aspx?ProductID=57&SeriesId=55&Page=camera |
Nikon Elements software | Nikon | https://www.microscope.healthcare.nikon.com/products/software/nis-elements |
MaxQuant | https://www.maxquant.org/ | version 1.5.1.2 |
Ensembl | https://useast.ensembl.org/info/website/archives/index.html | version GRCm38_71 (released April, 2013) |
Perseus | https://omictools.com/perseus-tool | version1.5.8.5 |
ToppGene Suite | https://toppgene.cchmc.org/https://toppgene.cchmc.org/ | https://toppgene.cchmc.org/ |
NHLBI LungMAP | https://www.lungmap.net/about/lungmap-team/nhlbi/ | https://www.lungmap.net/about/lungmap-team/nhlbi/ |
Illumina HiSeq 2500 | https://www.illumina.com/systems/sequencing-platforms/hiseq-2500.html | https://www.illumina.com/systems/sequencing-platforms/hiseq-2500.html |
HISAT | http://www.ccb.jhu.edu/software/hisat/index.shtml | http://www.ccb.jhu.edu/software/hisat/index.shtml |
Seurat | https://www.rdocumentation.org/packages/Seurat/versions/2.2.0 | version 2.2 |
HISAT2 | https://ccb.jhu.edu/software/hisat2/index.shtml | https://ccb.jhu.edu/software/hisat2/index.shtml |
Seqmonk | https://www.bioinformatics.babraham.ac.uk/projects/seqmonk/ | version 1.45.1 |
Seqmonk | https://www.bioinformatics.babraham.ac.uk/projects/seqmonk/ | version 1.41.0 |
Prism 6 | Graphpad | https://www.graphpad.com/scientific-software/prism/ |
Other | ||
LSRII | BD Biosciences | https://www.bd.com/resource.aspx?IDX=17868 |
FACSAria II | BD Biosciences | https://www.bdbiosciences.com/documents/BD_FACSAria_II_cell_sorter_brochure.pdf |
Nikon Eclipse confocal microscope | Nikon | https://www.microscope.healthcare.nikon.com/products/inverted-microscopes/eclipse-ti2-series |
LTQ-OrbiTrap XL linear ion trap mass spectrometer | ThermoFisher | IQLAAEGAAVFACZMAIK |
Sony SH800S | Sony Biotechnology | https://www.sonybiotechnology.com/us/instruments/sh800s-cell-sorter/ |
Highlights:
Pulmonary ILC3s descend from ILC precursors that populate a spatially distinct niche
Alveolar fibroblasts-derived IGF1 instructs postnatal lung ILC precursor biogenesis
Alveolar fibroblast signals link postnatal development with ILC3 biogenesis in the lung.
Premature infants with bronchopulmonary dysplasia have reduced IGF1 and pulmonary ILC3s
Acknowledgements:
We thank the Children’s Hospital Research Foundation’s Flow Cytometry and Cell Sorting Core Laboratory, Imaging core and Nikon Center of Excellence for technical advice and support. We thank J. Whitsett, C. Chougnet and S. Way for their helpful comments. We thank the physicians, nurses and staff of CCHMC Pulmonary Medicine Division, Biorepository for Investigation of Neonatal Diseases of Lung (BRINDL) and all the participating patients and their families.
Funding: H.D. is supported by K08HD084686, R01HL142708 and Francis Family Foundation, T.A. is supported by R01DK114213, DK116868 and Pew Charitable Trust. T.A. holds an Investigator in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund.
J.B. is supported by R01HL131634, I.L. is supported by R01HL122300, W.Z. is supported by K08HL140178 and Y.X. is supported by U01 HL122642.
Footnotes
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Declaration of interests: Authors declare no conflicts of interest.
REFERENCES:
- Ahn S, and Joyner AL (2004). Dynamic changes in the response of cells to positive hedgehog signaling during mouse limb patterning. Cell 118, 505–516. [DOI] [PubMed] [Google Scholar]
- Aliahmad P, de la Torre B, and Kaye J (2010). Shared dependence on the DNA-binding factor TOX for the development of lymphoid tissue-inducer cell and NK cell lineages. Nat Immunol 11, 945–952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ardini-Poleske ME, Clark RF, Ansong C, Carson JP, Corley RA, Deutsch GH, Hagood JS, Kaminski N, Mariani TJ, Potter SS, et al. (2017). LungMAP: The Molecular Atlas of Lung Development Program. Am J Physiol Lung Cell Mol Physiol 313, L733–L740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aujla SJ, Chan YR, Zheng M, Fei M, Askew DJ, Pociask DA, Reinhart TA, McAllister F, Edeal J, Gaus K, et al. (2008). IL-22 mediates mucosal host defense against Gram-negative bacterial pneumonia. Nat Med 14, 275–281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baker J, Liu JP, Robertson EJ, and Efstratiadis A (1993). Role of insulin-like growth factors in embryonic and postnatal growth. Cell 75, 73–82. [PubMed] [Google Scholar]
- Bando JK, and Colonna M (2016). Innate lymphoid cell function in the context of adaptive immunity. Nat Immunol 17, 783–789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bando JK, Liang HE, and Locksley RM (2015). Identification and distribution of developing innate lymphoid cells in the fetal mouse intestine. Nat Immunol 16, 153–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bendall SC, Stewart MH, Menendez P, George D, Vijayaragavan K, Werbowetski-Ogilvie T, Ramos-Mejia V, Rouleau A, Yang J, Bosse M, et al. (2007). IGF and FGF cooperatively establish the regulatory stem cell niche of pluripotent human cells in vitro. Nature 448, 1015–1021. [DOI] [PubMed] [Google Scholar]
- Bertoncello I, and McQualter J (2011). Isolation and clonal assay of adult lung epithelial stem/progenitor cells. Curr Protoc Stem Cell Biol Chapter 2, Unit 2G 1. [DOI] [PubMed] [Google Scholar]
- Bilbao D, Luciani L, Johannesson B, Piszczek A, and Rosenthal N (2014). Insulin-like growth factor-1 stimulates regulatory T cells and suppresses autoimmune disease. EMBO Mol Med 6, 1423–1435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buch T, Heppner FL, Tertilt C, Heinen TJ, Kremer M, Wunderlich FT, Jung S, and Waisman A (2005). A Cre-inducible diphtheria toxin receptor mediates cell lineage ablation after toxin administration. Nat Methods 2, 419–426. [DOI] [PubMed] [Google Scholar]
- Butler A, Hoffman P, Smibert P, Papalexi E, and Satija R (2018). Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol 36, 411–420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chea S, Possot C, Perchet T, Petit M, Cumano A, and Golub R (2015). CXCR6 Expression Is Important for Retention and Circulation of ILC Precursors. Mediators Inflamm 2015, 368427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chea S, Schmutz S, Berthault C, Perchet T, Petit M, Burlen-Defranoux O, Goldrath AW, Rodewald HR, Cumano A, and Golub R (2016). Single-Cell Gene Expression Analyses Reveal Heterogeneous Responsiveness of Fetal Innate Lymphoid Progenitors to Notch Signaling. Cell Rep 14, 1500–1516. [DOI] [PubMed] [Google Scholar]
- Chen K, and Kolls JK (2013). T cell-mediated host immune defenses in the lung. Annu Rev Immunol 31, 605–633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chu C, Moriyama S, Li Z, Zhou L, Flamar AL, Klose CSN, Moeller JB, Putzel GG, Withers DR, Sonnenberg GF, and Artis D (2018). Anti-microbial Functions of Group 3 Innate Lymphoid Cells in Gut-Associated Lymphoid Tissues Are Regulated by G-Protein-Coupled Receptor 183. Cell Rep 23, 3750–3758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Constantinides MG, McDonald BD, Verhoef PA, and Bendelac A (2014). A committed precursor to innate lymphoid cells. Nature 508, 397–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cox AM, Gao Y, Perl AT, Tepper RS, and Ahlfeld SK (2017). Cumulative effects of neonatal hyperoxia on murine alveolar structure and function. Pediatr Pulmonol 52, 616–624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, and Mann M (2011). Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 10, 1794–1805. [DOI] [PubMed] [Google Scholar]
- Cupedo T, Vondenhoff MF, Heeregrave EJ, De Weerd AE, Jansen W, Jackson DG, Kraal G, and Mebius RE (2004). Presumptive lymph node organizers are differentially represented in developing mesenteric and peripheral nodes. J Immunol 173, 2968–2975. [DOI] [PubMed] [Google Scholar]
- Cyster JG, Hartley SB, and Goodnow CC (1994). Competition for follicular niches excludes self-reactive cells from the recirculating B-cell repertoire. Nature 371, 389–395. [DOI] [PubMed] [Google Scholar]
- Dahlgren MW, Jones SW, Cautivo KM, Dubinin A, Ortiz-Carpena JF, Farhat S, Yu KS, Lee K, Wang C, Molofsky AV, et al. (2019). Adventitial Stromal Cells Define Group 2 Innate Lymphoid Cell Tissue Niches. Immunity 50, 707–722 e706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- De Grove KC, Provoost S, Verhamme FM, Bracke KR, Joos GF, Maes T, and Brusselle GG (2016). Characterization and Quantification of Innate Lymphoid Cell Subsets in Human Lung. PLoS One 11, e0145961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Kleer IM, Kool M, de Bruijn MJ, Willart M, van Moorleghem J, Schuijs MJ, Plantinga M, Beyaert R, Hams E, Fallon PG, et al. (2016). Perinatal Activation of the Interleukin-33 Pathway Promotes Type 2 Immunity in the Developing Lung. Immunity 45, 1285–1298. [DOI] [PubMed] [Google Scholar]
- Diefenbach A, Colonna M, and Koyasu S (2014). Development, differentiation, and diversity of innate lymphoid cells. Immunity 41, 354–365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dietrich P, Dragatsis I, Xuan S, Zeitlin S, and Efstratiadis A (2000). Conditional mutagenesis in mice with heat shock promoter-driven cre transgenes. Mamm Genome 11, 196–205. [DOI] [PubMed] [Google Scholar]
- DiGirolamo DJ, Mukherjee A, Fulzele K, Gan Y, Cao X, Frank SJ, and Clemens TL (2007). Mode of growth hormone action in osteoblasts. J Biol Chem 282, 31666–31674. [DOI] [PubMed] [Google Scholar]
- dos Santos AB, Binoki D, Silva LF, de Araujo BB, Otter ID, Annoni R, Tsokos M, Stein RT, Hiemstra PS, Rabe KF, et al. (2013). Immune cell profile in infants’ lung tissue. Ann Anat 195, 596–604. [DOI] [PubMed] [Google Scholar]
- Du Y, Kitzmiller JA, Sridharan A, Perl AK, Bridges JP, Misra RS, Pryhuber GS, Mariani TJ, Bhattacharya S, Guo M, et al. (2017). Lung Gene Expression Analysis (LGEA): an integrative web portal for comprehensive gene expression data analysis in lung development. Thorax 72, 481–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eberl G, and Littman DR (2004). Thymic origin of intestinal alphabeta T cells revealed by fate mapping of RORgammat+ cells. Science 305, 248–251. [DOI] [PubMed] [Google Scholar]
- Eberl G, Marmon S, Sunshine MJ, Rennert PD, Choi Y, and Littman DR (2004). An essential function for the nuclear receptor RORgamma(t) in the generation of fetal lymphoid tissue inducer cells. Nat Immunol 5, 64–73. [DOI] [PubMed] [Google Scholar]
- Endale M, Ahlfeld S, Bao E, Chen X, Green J, Bess Z, Weirauch M, Xu Y, and Perl AK (2017a). Dataset on transcriptional profiles and the developmental characteristics of PDGFRalpha expressing lung fibroblasts. Data Brief 13, 415–431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Endale M, Ahlfeld S, Bao E, Chen X, Green J, Bess Z, Weirauch MT, Xu Y, and Perl AK (2017b). Temporal, spatial, and phenotypical changes of PDGFRalpha expressing fibroblasts during late lung development. Dev Biol 425, 161–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Felton JM, Duffin R, Robb CT, Crittenden S, Anderton SM, Howie SEM, Whyte MKB, Rossi AG, and Yao C (2018). Facilitation of IL-22 production from innate lymphoid cells by prostaglandin E2 prevents experimental lung neutrophilic inflammation. Thorax 73, 1081–1084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frank DB, Peng T, Zepp JA, Snitow M, Vincent TL, Penkala IJ, Cui Z, Herriges MJ, Morley MP, Zhou S, et al. (2016). Emergence of a Wave of Wnt Signaling that Regulates Lung Alveologenesis by Controlling Epithelial Self-Renewal and Differentiation. Cell Rep 17, 2312–2325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Galvis LA, Holik AZ, Short KM, Pasquet J, Lun AT, Blewitt ME, Smyth IM, Ritchie ME, and Asselin-Labat ML (2015). Repression of Igf1 expression by Ezh2 prevents basal cell differentiation in the developing lung. Development 142, 1458–1469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gensollen T, Iyer SS, Kasper DL, and Blumberg RS (2016). How colonization by microbiota in early life shapes the immune system. Science 352, 539–544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gessner BD, and Chimonas MA (2007). Asthma is associated with preterm birth but not with small for gestational age status among a population-based cohort of Medicaid-enrolled children <10 years of age. Thorax 62, 231–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- GeurtsvanKessel CH, Willart MA, van Rijt LS, Muskens F, Kool M, Baas C, Thielemans K, Bennett C, Clausen BE, Hoogsteden HC, et al. (2008). Clearance of influenza virus from the lung depends on migratory langerin+CD11b- but not plasmacytoid dendritic cells. J Exp Med 205, 1621–1634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gray J, Oehrle K, Worthen G, Alenghat T, Whitsett J, and Deshmukh H (2017). Intestinal commensal bacteria mediate lung mucosal immunity and promote resistance of newborn mice to infection. Sci Transl Med 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guilliams M, De Kleer I, Henri S, Post S, Vanhoutte L, De Prijck S, Deswarte K, Malissen B, Hammad H, and Lambrecht BN (2013). Alveolar macrophages develop from fetal monocytes that differentiate into long-lived cells in the first week of life via GM-CSF. J Exp Med 210, 1977–1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo M, Wang H, Potter SS, Whitsett JA, and Xu Y (2015). SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis. PLoS Comput Biol 11, e1004575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gury-BenAri M, Thaiss CA, Serafini N, Winter DR, Giladi A, Lara-Astiaso D, Levy M, Salame TM, Weiner A, David E, et al. (2016). The Spectrum and Regulatory Landscape of Intestinal Innate Lymphoid Cells Are Shaped by the Microbiome. Cell 166, 1231–1246 e1213. [DOI] [PubMed] [Google Scholar]
- Harly C, Cam M, Kaye J, and Bhandoola A (2018). Development and differentiation of early innate lymphoid progenitors. J Exp Med 215, 249–262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hegab AE, Arai D, Gao J, Kuroda A, Yasuda H, Ishii M, Naoki K, Soejima K, and Betsuyaku T (2015). Mimicking the niche of lung epithelial stem cells and characterization of several effectors of their in vitro behavior. Stem Cell Res 15, 109–121. [DOI] [PubMed] [Google Scholar]
- Herriges M, and Morrisey EE (2014). Lung development: orchestrating the generation and regeneration of a complex organ. Development 141, 502–513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoorweg K, Narang P, Li Z, Thuery A, Papazian N, Withers DR, Coles MC, and Cupedo T (2015). A Stromal Cell Niche for Human and Mouse Type 3 Innate Lymphoid Cells. J Immunol 195, 4257–4263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang Y, Mao K, Chen X, Sun MA, Kawabe T, Li W, Usher N, Zhu J, Urban JF Jr., Paul WE, and Germain RN (2018). S1P-dependent interorgan trafficking of group 2 innate lymphoid cells supports host defense. Science 359, 114–119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ishizuka IE, Constantinides MG, Gudjonson H, and Bendelac A (2016). The Innate Lymphoid Cell Precursor. Annu Rev Immunol 34, 299–316. [DOI] [PubMed] [Google Scholar]
- Islam JY, Keller RL, Aschner JL, Hartert TV, and Moore PE (2015). Understanding the Short- and Long-Term Respiratory Outcomes of Prematurity and Bronchopulmonary Dysplasia. Am J Respir Crit Care Med 192, 134–156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jobe AH, and Bancalari E (2001). Bronchopulmonary dysplasia. Am J Respir Crit Care Med 163, 1723–1729. [DOI] [PubMed] [Google Scholar]
- Kaplan SL, Barson WJ, Lin PL, Stovall SH, Bradley JS, Tan TQ, Hoffman JA, Givner LB, and Mason EO Jr. (2010). Serotype 19A Is the most common serotype causing invasive pneumococcal infections in children. Pediatrics 125, 429–436. [DOI] [PubMed] [Google Scholar]
- Khan JA, Mendelson A, Kunisaki Y, Birbrair A, Kou Y, Arnal-Estape A, Pinho S, Ciero P, Nakahara F, Ma’ayan A, et al. (2016). Fetal liver hematopoietic stem cell niches associate with portal vessels. Science 351, 176–180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klose CSN, Flach M, Mohle L, Rogell L, Hoyler T, Ebert K, Fabiunke C, Pfeifer D, Sexl V, Fonseca-Pereira D, et al. (2014). Differentiation of type 1 ILCs from a common progenitor to all helper-like innate lymphoid cell lineages. Cell 157, 340–356. [DOI] [PubMed] [Google Scholar]
- Koga S, Hozumi K, Hirano KI, Yazawa M, Terooatea T, Minoda A, Nagasawa T, Koyasu S, and Moro K (2018). Peripheral PDGFRalpha(+)gp38(+) mesenchymal cells support the differentiation of fetal liver-derived ILC2. J Exp Med 215, 1609–1626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kollmann TR, Kampmann B, Mazmanian SK, Marchant A, and Levy O (2017). Protecting the Newborn and Young Infant from Infectious Diseases: Lessons from Immune Ontogeny. Immunity 46, 350–363. [DOI] [PubMed] [Google Scholar]
- Kotas ME, and Locksley RM (2018). Why Innate Lymphoid Cells? Immunity 48, 1081–1090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kunisaki Y, Bruns I, Scheiermann C, Ahmed J, Pinho S, Zhang D, Mizoguchi T, Wei Q, Lucas D, Ito K, et al. (2013). Arteriolar niches maintain haematopoietic stem cell quiescence. Nature 502, 637–643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lambert L (2015). Immunology of the neonatal lung and the long term consequences of 23 neonatal respiratory virus infection for pulmonary innate immunity. National Heart and LungInstitute, 314. [Google Scholar]
- Landreth KS, Narayanan R, and Dorshkind K (1992). Insulin-like growth factor-I regulates pro-B cell differentiation. Blood 80, 1207–1212. [PubMed] [Google Scholar]
- Lim AI, Li Y, Lopez-Lastra S, Stadhouders R, Paul F, Casrouge A, Serafini N, Puel A, Bustamante J, Surace L, et al. (2017). Systemic Human ILC Precursors Provide a Substrate for Tissue ILC Differentiation. Cell 168, 1086–1100 e1010. [DOI] [PubMed] [Google Scholar]
- Link A, Vogt TK, Favre S, Britschgi MR, Acha-Orbea H, Hinz B, Cyster JG, and Luther SA (2007). Fibroblastic reticular cells in lymph nodes regulate the homeostasis of naive T cells. Nat Immunol 8, 1255–1265. [DOI] [PubMed] [Google Scholar]
- Liu JL, Grinberg A, Westphal H, Sauer B, Accili D, Karas M, and LeRoith D (1998). Insulin-like growth factor-I affects perinatal lethality and postnatal development in a gene dosage-dependent manner: manipulation using the Cre/loxP system in transgenic mice. Mol Endocrinol 12, 1452–1462. [DOI] [PubMed] [Google Scholar]
- Lloyd CM, and Marsland BJ (2017). Lung Homeostasis: Influence of Age, Microbes, and the Immune System. Immunity 46, 549–561. [DOI] [PubMed] [Google Scholar]
- Lopez-Lastra S, Masse-Ranson G, Fiquet O, Darche S, Serafini N, Li Y, Dusseaux M, Strick-Marchand H, and Di Santo JP (2017). A functional DC cross talk promotes human ILC homeostasis in humanized mice. Blood Adv 1, 601–614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Macosko EZ, Basu A, Satija R, Nemesh J, Shekhar K, Goldman M, Tirosh I, Bialas AR, Kamitaki N, Martersteck EM, et al. (2015). Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. Cell 161, 1202–1214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mahlakoiv T, Flamar AL, Johnston LK, Moriyama S, Putzel GG, Bryce PJ, and Artis D (2019). Stromal cells maintain immune cell homeostasis in adipose tissue via production of interleukin-33. Sci Immunol 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McQualter JL, Yuen K, Williams B, and Bertoncello I (2010). Evidence of an epithelial stem/progenitor cell hierarchy in the adult mouse lung. Proc Natl Acad Sci U S A 107, 1414–1419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mielke LA, Groom JR, Rankin LC, Seillet C, Masson F, Putoczki T, and Belz GT (2013). TCF-1 controls ILC2 and NKp46+RORgammat+ innate lymphocyte differentiation and protection in intestinal inflammation. J Immunol 191, 4383–4391. [DOI] [PubMed] [Google Scholar]
- Murphy WJ, Durum SK, and Longo DL (1992). Human growth hormone promotes engraftment of murine or human T cells in severe combined immunodeficient mice. Proc Natl Acad Sci U S A 89, 4481–4485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ni F, Sun R, Fu B, Wang F, Guo C, Tian Z, and Wei H (2013). IGF-1 promotes the development and cytotoxic activity of human NK cells. Nat Commun 4, 1479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Opiela SJ, Koru-Sengul T, and Adkins B (2009). Murine neonatal recent thymic emigrants are phenotypically and functionally distinct from adult recent thymic emigrants. Blood 113, 5635–5643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paget C, and Trottein F (2013). Role of type 1 natural killer T cells in pulmonary immunity. Mucosal Immunol 6, 1054–1067. [DOI] [PubMed] [Google Scholar]
- Park JY, DiPalma DT, Kwon J, Fink J, and Park JH (2019). Quantitative Difference in PLZF Protein Expression Determines iNKT Lineage Fate and Controls Innate CD8 T Cell Generation. Cell Rep 27, 2548–2557 e2544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rana BMJ, Jou E, Barlow JL, Rodriguez-Rodriguez N, Walker JA, Knox C, Jolin HE, Hardman CS, Sivasubramaniam M, Szeto A, et al. (2019). A stromal cell niche sustains ILC2-mediated type-2 conditioning in adipose tissue. J Exp Med 216, 1999–2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ricardo-Gonzalez RR, Van Dyken SJ, Schneider C, Lee J, Nussbaum JC, Liang HE, Vaka D, Eckalbar WL, Molofsky AB, Erle DJ, and Locksley RM (2018). Tissue signals imprint ILC2 identity with anticipatory function. Nat Immunol 19, 1093–1099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, and Smyth GK (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 43, e47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinette ML, Bando JK, Song W, Ulland TK, Gilfillan S, and Colonna M (2017). IL-15 sustains IL-7R-independent ILC2 and ILC3 development. Nat Commun 8, 14601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinson MD, and Oshlack A (2010). A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol 11, R25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ruiz-Camp J, Rodriguez-Castillo JA, Herold S, Mayer K, Vadasz I, Tallquist MD, Seeger W, Ahlbrecht K, and Morty RE (2017). Tamoxifen dosing for Cre-mediated recombination in experimental bronchopulmonary dysplasia. Transgenic Res 26, 165–170. [DOI] [PubMed] [Google Scholar]
- Saluzzo S, Gorki AD, Rana BMJ, Martins R, Scanlon S, Starkl P, Lakovits K, Hladik A, Korosec A, Sharif O, et al. (2017). First-Breath-Induced Type 2 Pathways Shape the Lung Immune Environment. Cell Rep 18, 1893–1905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scandella E, Bolinger B, Lattmann E, Miller S, Favre S, Littman DR, Finke D, Luther SA, Junt T, and Ludewig B (2008). Restoration of lymphoid organ integrity through the interaction of lymphoid tissue-inducer cells with stroma of the T cell zone. Nat Immunol 9, 667–675. [DOI] [PubMed] [Google Scholar]
- Schmitz J, Owyang A, Oldham E, Song Y, Murphy E, McClanahan TK, Zurawski G, Moshrefi M, Qin J, Li X, et al. (2005). IL-33, an interleukin-1-like cytokine that signals via the IL-1 receptor-related protein ST2 and induces T helper type 2-associated cytokines. Immunity 23, 479–490. [DOI] [PubMed] [Google Scholar]
- Schneider C, Lee J, Koga S, Ricardo-Gonzalez RR, Nussbaum JC, Smith LK, Villeda SA, Liang HE, and Locksley RM (2019). Tissue-Resident Group 2 Innate Lymphoid Cells Differentiate by Layered Ontogeny and In Situ Perinatal Priming. Immunity 50, 1425–1438 e1425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scoville SD, Mundy-Bosse BL, Zhang MH, Chen L, Zhang X, Keller KA, Hughes T, Chen L, Cheng S, Bergin SM, et al. (2016). A Progenitor Cell Expressing Transcription Factor RORgammat Generates All Human Innate Lymphoid Cell Subsets. Immunity 44, 1140–1150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seehus CR, Aliahmad P, de la Torre B, Iliev ID, Spurka L, Funari VA, and Kaye J (2015). The development of innate lymphoid cells requires TOX-dependent generation of a common innate lymphoid cell progenitor. Nat Immunol 16, 599–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shekhar K, Lapan SW, Whitney IE, Tran NM, Macosko EZ, Kowalczyk M, Adiconis X, Levin JZ, Nemesh J, Goldman M, et al. (2016). Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics. Cell 166, 1308–1323 e1330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Short K, Hodson M, and Smyth I (2013). Spatial mapping and quantification of developmental branching morphogenesis. Development 140, 471–478. [DOI] [PubMed] [Google Scholar]
- Sitnicka E, Bryder D, Theilgaard-Monch K, Buza-Vidas N, Adolfsson J, and Jacobsen SE (2002). Key role of flt3 ligand in regulation of the common lymphoid progenitor but not in maintenance of the hematopoietic stem cell pool. Immunity 17, 463–472. [DOI] [PubMed] [Google Scholar]
- Song J, Willinger T, Rongvaux A, Eynon EE, Stevens S, Manz MG, Flavell RA, and Galan JE (2010). A mouse model for the human pathogen Salmonella typhi. Cell Host Microbe 8, 369–376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soon L, Flechner L, Gutkind JS, Wang LH, Baserga R, Pierce JH, and Li W (1999). Insulin-like growth factor I synergizes with interleukin 4 for hematopoietic cell proliferation independent of insulin receptor substrate expression. Mol Cell Biol 19, 3816–3828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spadaro O, Camell CD, Bosurgi L, Nguyen KY, Youm YH, Rothlin CV, and Dixit VD (2017). IGF1 Shapes Macrophage Activation in Response to Immunometabolic Challenge. Cell Rep 19, 225–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tyanova S, Temu T, and Cox J (2016a). The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat Protoc 11, 2301–2319. [DOI] [PubMed] [Google Scholar]
- Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, and Cox J (2016b). The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13, 731–740. [DOI] [PubMed] [Google Scholar]
- Van Maele L, Carnoy C, Cayet D, Ivanov S, Porte R, Deruy E, Chabalgoity JA, Renauld JC, Eberl G, Benecke AG, et al. (2014). Activation of Type 3 innate lymphoid cells and interleukin 22 secretion in the lungs during Streptococcus pneumoniae infection. J Infect Dis 210, 493–503. [DOI] [PubMed] [Google Scholar]
- von Burg N, Chappaz S, Baerenwaldt A, Horvath E, Bose Dasgupta S, Ashok D, Pieters J, Tacchini-Cottier F, Rolink A, Acha-Orbea H, and Finke D (2014). Activated group 3 innate lymphoid cells promote T-cell-mediated immune responses. Proc Natl Acad Sci U S A 111, 12835–12840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vrijlandt EJ, Kerstjens JM, Duiverman EJ, Bos AF, and Reijneveld SA (2013). Moderately preterm children have more respiratory problems during their first 5 years of life than children born full term. Am J Respir Crit Care Med 187, 1234–1240. [DOI] [PubMed] [Google Scholar]
- Walker CL, Rudan I, Liu L, Nair H, Theodoratou E, Bhutta ZA, O’Brien KL, Campbell H, and Black RE (2013). Global burden of childhood pneumonia and diarrhoea. Lancet 381, 1405–1416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walker JA, Clark PA, Crisp A, Barlow JL, Szeto A, Ferreira ACF, Rana BMJ, Jolin HE, Rodriguez-Rodriguez N, Sivasubramaniam M, et al. (2019). Polychromic Reporter Mice Reveal Unappreciated Innate Lymphoid Cell Progenitor Heterogeneity and Elusive ILC3 Progenitors in Bone Marrow. Immunity 51, 104–118 e107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Warner BB, Stuart LA, Papes RA, and Wispe JR (1998). Functional and pathological effects of prolonged hyperoxia in neonatal mice. Am J Physiol 275, L110–117. [DOI] [PubMed] [Google Scholar]
- Whitsett JA, and Weaver TE (2015). Alveolar development and disease. Am J Respir Cell Mol Biol 53, 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xiong H, Keith JW, Samilo DW, Carter RA, Leiner IM, and Pamer EG (2016). Innate Lymphocyte/Ly6C(hi) Monocyte Crosstalk Promotes Klebsiella Pneumoniae Clearance. Cell 165, 679–689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu W, Cherrier DE, Chea S, Vosshenrich C, Serafini N, Petit M, Liu P, Golub R, and Di Santo JP (2019). An Id2(RFP)-Reporter Mouse Redefines Innate Lymphoid Cell Precursor Potentials. Immunity 50, 1054–1068 e1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang Q, Monticelli LA, Saenz SA, Chi AW, Sonnenberg GF, Tang J, De Obaldia ME, Bailis W, Bryson JL, Toscano K, et al. (2013). T cell factor 1 is required for group 2 innate lymphoid cell generation. Immunity 38, 694–704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yu X, Wang Y, Deng M, Li Y, Ruhn KA, Zhang CC, and Hooper LV (2014). The basic leucine zipper transcription factor NFIL3 directs the development of a common innate lymphoid cell precursor. Elife 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yu Y, Tsang JC, Wang C, Clare S, Wang J, Chen X, Brandt C, Kane L, Campos LS, Lu L, et al. (2016). Single-cell RNA-seq identifies a PD-1(hi) ILC progenitor and defines its development pathway. Nature 539, 102–106. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The accession numbers for the bulk RNA-Seq and scRNA-Seq data reported in this paper are Gene Expression Omnibus GSE122332 and PRJNA599444.
Raw data related to the figures reported in this paper are available at Mendeley Data and can be accessed at http://dx.doi.org/10.17632/zkj6v7s8cp.1