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. Author manuscript; available in PMC: 2025 Nov 19.
Published in final edited form as: Cell Rep. 2025 May 6;44(5):115657. doi: 10.1016/j.celrep.2025.115657

Phagosomal RNA sensing through TLR8 controls susceptibility to tuberculosis

Charlotte Maserumule 1,#, Charlotte Passemar 1,2,#, Olivia SH Oh 3, Kriztina Hegyi 1,14, Karen Brown 1,2,4, Aaron Weimann 1,2,5, Adam Dinan 1,2,5, Sonia Davila 6,7, Catherine Klapholz 1, Josephine Bryant 1,5, Deepshikha Verma 8, Jacob Gadwa 8, Shivankari Krishnananthasivam 3, Kridakorn Vongtongsalee 8, Edward Kendall 8, Andres Trelles 8, Martin L Hibberd 6,9, Joaquín Sanz 10, Jorge Bertol 10, Lucia Vázquez-Iniesta 12, Kaliappan Andi 11, S Siva Kumar 11, Diane Ordway 8, Rafael Prados-Rosales 12, Paul A MacAry 3,*, R Andres Floto 1,2,4,5,15,*
PMCID: PMC7618372  EMSID: EMS209620  PMID: 40338743

Summary

Genetic determinants of susceptibility to Mycobacterium tuberculosis (Mtb) remain poorly understood but could provide insights into critical pathways involved in infection, informing host-directed therapies and enabling risk stratification at individual and population levels. Through a genome-wide forward genetic screen, we identify Toll-like receptor 8 (TLR8) as a key regulator of intracellular killing of Mtb. Pharmacological TLR8 activation enhances the killing of phylogenetically diverse clinical isolates of drug-susceptible and multidrug-resistant Mtb by macrophages and during in vivo infection in mice. TLR8 is activated by phagosomal mycobacterial RNA released by extracellular membrane vesicles and enhances xenophagy-dependent Mtb killing. We find that the TLR8 variant M1V, common in Far Eastern populations, enhances intracellular killing of Mtb through preferential signal-dependent trafficking to phagosomes. TLR8 signaling may, therefore, both regulate susceptibility to tuberculosis and provide novel drug targets.


Graphical abstract.

Graphical abstract

Introduction

Tuberculosis (TB), a disease caused by mycobacteria of the Mycobacterium tuberculosis (Mtb) complex (MTBC), remains a major global threat to human health, with an estimated third of the world’s population at one time exposed,1 over 1.3 million deaths recorded per year,2 and growing rates seen for multidrug-resistant (MDR) and extensively drug-resistant (XDR)3,4 infections. Increasing antibiotic resistance and long treatment durations have motivated the search for druggable innate immune pathways that could be pharmacologically stimulated to deliver hostdirected therapy.5,6

The factors that control cell-autonomous immunity to Mtb, however, remain partially understood,1,6 despite forward genetic screens mostly using other mycobacterial species in macrophage or zebrafish infection models,79 genome-wide association studies in several ethnic populations,1013 and genetic analyses of primary immunodeficiencies associated with mycobacterial susceptibility.14

Since the initial interactions of Mtb with macrophages appear critical in determining the outcome of human infection,6 we set out to discover new druggable pathways in macrophages that control the intracellular survival of Mtb.

Results

Forward genetic screening identifies TLR8 as a potential therapeutic target in Mtb infection

To identify novel host restriction factors, we exposed THP1 macrophages, transduced with a genome-wide CRISPR library,15 to a GFP-expressing auxotrophic Mtb strain with preserved virulence.16 We then selected cells with excess Mtb-associated fluorescence at 24 h post-infection (using fluorescence-activated cell sorting [FACS]), amplified and sequenced guide RNA (gRNA) templates from extracted DNA, and then detected targeted genes that were statistically over-represented in the sorted compared to the bulk populations (Figure S1).

Our screen identified many plausible hits across a range of cellular processes, including multiple genes known to influence Mtb growth within macrophages1725 (Figures 1A and S1; Tables S1, S2, S3, and S4). We selected novel hits within the druggable genome26 involved in the xenobiotic response for further analysis. We focused on Toll-like receptor 8 (TLR8), a known endosomal sensor of single-stranded RNA (ssRNA) and established mediator of antiviral immunity27 that has previously been implicated in host defense against mycobacteria, including Mtb.2830 We compared the relative contribution of a panel of pattern recognition receptors (PRRs) to Mtb infection of primary human macrophages using small interfering RNA (siRNA) knockdown (as done previously31) and found that TLR8 silencing led to the greatest increase in viable intracellular bacteria (Figure 1B), results supported by our findings of increased intracellular survival of Mtb in CRISPR-mediated TLR8-knockout THP1 macrophages (Figures 1C and S2).

Figure 1. Forward genetic screening reveals TLR8 as a druggable pathway in M. tuberculosis infection.

Figure 1

(A) Genome-wide CRISPR screen in THP1 macrophages infected with GFP-expressing M. tuberculosis (Mtb) ΔleuD ΔpanCD (BleuPan) performed on three separate occasions. Cells with high Mtb-associated fluorescence at 24 h were fluorescence-activated cell-sorted and their gRNA representation compared to the bulk infected population at a gene level. A Manhattan plot of significant hits is shown, color annotated based on whether genes are known regulators of mycobacterial infection, involved in the xenobiotic response, part of the druggable genome, or combinations of these. Novel druggable genes involved in the xenobiotic response (red) include TLR8.

(B) Effect on intracellular killing of luminescent Mtb (H37Rv) by primary human macrophages following knockdown (using pooled siRNA) of a panel of pattern recognition receptors (PRRs).

(C) Intracellular killing of luminescent MtbleuD ΔpanCD [BleuPan]) by wild-type and TLR8-knockout THP1 macrophages.

(D) Effect of agonists targeting different PRRs (blue), including resiquimod targeting TLR8 (green), on intracellular killing of luminescent Mtb (H37Rv) by THP1 macrophages.

(E) Effect of resiquimod (at a range of concentrations) on intracellular killing of MtbleuD ΔpanCD [BleuPan]) by primary human macrophages from healthy volunteers.

(B–E) Data (mean ± SEM) shown from representative experiments at least three independent repeats, performed in at least triplicate (using primary macrophages, B and E, from at least three different healthy volunteers) (*p < 0.05, **p < 0.01, and ***p < 0.001; Student’s t test).

(F and G) Resiquimod improves intracellular killing of clinical isolates of Mtb. THP1 macrophages were infected with a phylogenetically diverse collection of drug-susceptible (red) or multidrug-resistant (blue) Mtb clinical isolates and co-treated with resiquimod (10 μg/mL) or vehicle alone for 24 or 48 h, and viable intracellular mycobacteria were enumerated through cell-associated colony-forming units (CFUs/mL). Experiments were performed in at least triplicate.

(F) Maximum likelihood phylogenetic tree of all isolates tested constructed using RAxML, generated by mapping detected variable positions to Mtb H37Rv strain. Representatives from the main six Mtb lineages (gray) are included for genomic context. Scale bar indicates the number of substitutions per variable site.

(G) Viable intracellular Mtb (mean ± SD) recovered from THP1 macrophages infected with each of the clinical isolates in (F) at 24 and 48 h post-infection in the presence of resiquimod (green) or vehicle control (white). ***p < 0.001 (paired Student’s t test).

(H) Resiquimod treatment (via once-daily intraperitoneal injection) of C57BL/6 mice infected with multidrug-resistant Mtb (TB5904) resulted in a significant reduction in lung bacterial counts. Data represents mean ± SEM CFUs from 5 mice per time point in each group. ***p < 0.001 (Student’s t test).

We next examined the impact of pharmacological stimulation of TLR8 and other PRRs and found that the intracellular killing of Mtb by THP1 macrophages was most enhanced by treatment with the TLR8 agonist resiquimod32 (Figure 1D), which also increased mycobacterial uptake (Figure 1E) but had no direct effect on Mtb in liquid culture or cell viability (Figure S2). Together, our results indicate that TLR8 plays a critical role in the macrophage killing of Mtb and that this pathway is sub-maximally activated under baseline conditions, thus identifying TLR8 as a potential target for host-directed therapy.

Resiquimod is an imidazoquinoline with antiviral and antitumor activity in preclinical animal models33,34 and clinical activity as an adjuvant to vaccines35 and cancer immunotherapy36 and is currently licensed by the European Medicines Agency for the treatment of cutaneous T cell lymphomas.37,38 Resiquimod can activate both human intracellular receptors for ssRNA, TLR8 and TLR7.39 Since TLR7 is not expressed in human macrophages40 (Figure S3), resiquimod activity is abolished in Mtb-infected human TLR8−/− macrophages (Figure S2) but preserved in TLR7−/− cells (Figure S3). In contrast, TLR8 in mice is a pseudogene influencing TLR7 expression.41 Murine macrophages, therefore, only express TLR7, which is thus orthologous to human TLR8. As expected, the activity of resiquimod on Mtb-infected mouse bone marrow-derived macrophages is mediated exclusively by this receptor (Figure S2).

Resiquimod treatment of THP1 macrophages infected with a phylogenetically diverse collection of drug-susceptible and MDR Mtb (MDR-TB) clinical isolates resulted in profound reductions in viable intracellular bacteria at 24 and 48 h post-infection (Figures 1F, 1G, and S4). Resiquimod treatment of mice infected via aerosol with MDR-TB isolates led to almost a three log-fold reduction in lung colony-forming units and reduced inflammatory lung damage (Figures 1H and 1I)—a greater effect than that seen with imiquimod (when both were compared in separate experiments) (Figure S5)—suggesting a potential role for resiquimod and related compounds as host-directed therapy for TB.

TLR8 detects phagosomal RNA released by Mtb through extracellular membrane vesicles

We next explored the mechanism of action of TLR8 during Mtb infection. Using a surface-expressed TLR8-TLR2 chimeric receptor42 stably transfected in HEK293 cells, we showed that TLR8 can be activated by a wide range of slow- and rapid-growing mycobacterial species (Figure S6) and by purified mycobacterial RNA (but not DNA) and M. bovis BCG lysates and can be attenuated by RNase pre-treatment (Figure 2A). During THP1 macrophage infection, TLR8 activation within Mtb-containing phagosomes (monitored by recruitment of MyD88) was inhibited by co-incubation with RNase (Figure S6), indicating phagosomal sensing of mycobacteria-derived RNA.

Figure 2. TLR8 senses phagosomal RNA released from M. tuberculosis in extracellular membrane vesicles.

Figure 2

(A) TLR8-2 chimeric receptors (made by fusing the TLR8 extracellular domain to the transmembrane and cytosolic domains of TLR2) were stably surface expressed in HEK293T cells containing a nuclear factor κB (NF-κB) luciferase reporter. TLR8-dependent NF-κB signaling was assessed following (i) addition of M. bovis BCG lysates or live bacteria (red) or the TLR8 ligand CL075 (black) or (ii) mycobacterial RNA or DNA (blue), M. bovis BCG lysates (untreated or pre-treated with DNase or RNase, red), or ssRNA40 (black). Data (mean ± SEM) are representative of at least three independent experiments performed in at least triplicate. *p < 0.05 and **p < 0.01 (Student’s t test).

(B) Extracellular membrane vesicles isolated from Mtb H37Rv were CFSE labeled (green; Mtb MVs) and incubated with THP-1 macrophages for 24 h either with or without RNase A (100 μg/mL), immunostained for MyD88 (red), and imaged (and co-localization quantified) using confocal microscopy.

(C) THP-1 macrophages were infected with CFSE-labeled Mtb H37Rv; the transposon mutant Tn:rv0431 (ΔvirR), which releases increased numbers of membrane vesicles; or the complemented mutant Tn:rv0431+rv0431virR::virR) in the presence or absence of RNase A for 24 h, immunostained for MyD88 (red), and imaged (and co-localization quantified) using confocal microscopy.

(B and C) Image scale bar: 2 μm. Data (mean ± SEM) are representative of at least three independent experiments preformed in at least triplicate (with a minimum of 50 Mtb phagosomes evaluated per replicate). *p < 0.05 and **p < 0.01 (Student’s t test).

Since Mtb is known to produce RNA-containing extracellular membrane vesicles (MVs),43 particularly in the context of limiting iron availability44 (as occurs in the phagosome45), we wondered whether MVs might trigger TLR8 signaling. We confirmed that Mtb (H37Rv and ΔleuD ΔpanCD [BleuPan]) and M. bovis BCG produced similar quantities and distributions of MVs (Figure S6) containing RNA-encoding proteins involved in a range of functions (Figure S6). We obtained several lines of evidence in support of MVs triggering TLR8 signaling. We found that exposure of THP1 macrophages to isolated Mtb MVs at input ratios (MVs:cells) of 10:1 (considerably less than observed by electron microscopy during in vitro or in vivo Mtb infection43) stimulated MyD88 recruitment to endosomal compartments, which was attenuated by co-treatment with RNase (Figure 2B). An Mtb mutant that over-produces MVs, Tn:Rv0431 (ΔvirR)46,47 (Figure S6), was able to enhance TLR8 activation (in an RNase-inhibitable manner) during the infection of wild-type (WT), but not TLR8−/−, THP1 macrophages (Figure 2C). Thus, the previously observed reduced intracellular survival of Tn:Rv0431 within macrophages47 is likely to be mediated through TLR8 activation by RNA-containing MVs.

TLR8 promotes intracellular mycobacteria clearance via xenophagy

We next examined how TLR8 signaling could enhance the intracellular killing of Mtb. Agonist stimulation of TLR8 led to enhanced phagosome-lysosome fusion (as monitored through Mtb co-localization with V-ATPase; Figure 3A) and increased numbers, acidification, and activity of lysosomes (Figure S7). Since lysosomal biogenesis and autophagy are known to be regulated by transcription factor EB (TFEB),48,49 we examined whether TLR8 stimulation might activate these processes. As expected, resiquimod led to the rapid nuclear localization of TFEB in primary human macrophages and in a reconstituted heterologous expression system (Figure S7).

Figure 3. TLR8 enhances intracellular killing of mycobacteria through xenophagy.

Figure 3

(A) TLR8 activation using resiquimod increases fusion of Mtb-containing phagosomes with lysosomes. THP-1 macrophages infected with GFP-labeled Mtb H37Rv (green) in the presence of bafilomycin A1 (BafA1) and/or resiquimod (or vehicle controls) for 2 h were immunostained for V-ATPase (red) and imaged (and co-localization quantified) using confocal microscopy (scale bar: 5 μm). Data (mean ± SEM) are representative of at least three independent experiments preformed in at least triplicate (with a minimum of 50 Mtb phagosomes evaluated per replicate). *p < 0.05 and **p < 0.01 (Student’s t test).

(B) Wild-type (WT) or TLR8-knockout (TLR8−/−) THP-1 macrophages were infected with GFP-labeled Mtb H37Rv (green) in the presence of resiquimod or vehicle control for 2 h, immunostained for ubiquitin (red), and imaged (and co-localization quantified) using confocal microscopy. Images and data (mean ± SEM) are representative of experiments performed in triplicate on at least three independent occasions with a minimum of 50 cells analyzed per replicate. **p < 0.01; ns, not significant (Student’s t test). Scale bar: 2 μm.

(C and D) THP-1 macrophages were infected with GFP-labeled Mtb H37Rv (green) in the presence of resiquimod or vehicle control for 2 h, immunostained with (C) NDP52 or (D) LC3 (red), and imaged (and co-localization quantified) using confocal microscopy. Images and data (mean ± SEM) are representative of experiments performed in triplicate on at least two independent occasions with a minimum of 50 phagosomes analyzed per replicate. **p < 0.01 and ***p < 0.001 (Student’s t test). Scale bar: 2 μm.

(E) WT, ATG12-knockout (ATG12−/−), or NDP52-knockout (NDP52−/−) THP-1 macrophages were infected with luminescent MtbleuD ΔpanCD [BleuPan]) in the presence of resiquimod or vehicle control. Viable intracellular Mtb at 2 and 24 h was quantified using luminescence (relative light unit, RLU). Data (mean ± SEM) are representative of experiments performed in triplicate on at least three independent occasions. **p < 0.01 and ***p < 0.001 (Student’s t test).

We then explored the role of autophagy in TLR8 effector functions and observed agonist-triggered increases in the number and acidification of autophagosomes in bone marrow-derived macrophages from mRFP-GFP LC3 transgenic mice50 (Figure S7); agonist-induced ubiquitination of Mtb-containing phagosomes in WT, but not TLR8−/− THP1 macrophages (Figures 3B and S7); agonist-stimulated recruitment of the autophagy adaptor NDP52 (Figure 3C) and of LC3 (Figure 3D) to Mtb-containing phagosomes; and inhibition of agonist-enhanced intracellular killing of Mtb in NDP52−/− and ATG12−/− THP1 macrophages (Figures 3E and S7). Our findings, therefore, indicate that TLR8 activation increases lysosomal activity and stimulates xenophagic clearance of intracellular Mtb (and not simply epiphenomenal activation of autophagy). Since we have implicated phagosomal ubiquitination and a dependence on NDP52, we conclude that TLR8 activates conventional autophagy rather than LC3-associated phagocytosis.

The M1V variant of TLR8 modifies intracellular receptor localization and boosts Mtb clearance

Given the profound effects of TLR8 activation on in vitro and in vivo Mtb infections, we wondered whether naturally occurring genetic polymorphisms in TLR8 might influence host susceptibility to Mtb infection through altered receptor signaling. We focused on the M1V variant (rs3764880) that leads to an alternative start codon usage and, consequently, an altered signal peptide (Figures 4A–4C). The M1V variant has been implicated in significant protection from pulmonary TB in our previous population genetic studies41 and is found at variable allele frequencies in different ethnic groups, most abundantly in Far Eastern populations51 (Figure 4B). Primary macrophages from healthy volunteers homozygous or hemizygous for the M1V TLR8 variant demonstrated enhanced killing of Mtb and M. bovis BCG (Figure 4D), increased inflammatory cytokine release (Figures 4E and S8), and more mature mycobacteria-containing phagosomes (as evidenced by their increased size [Figure 4F] and greater acidification [Figure 4G]) compared to ancestral (WT) TLR8 controls. The transduction of M1V, but not WT, TLR8 into primary macrophages from WT hemizygous or homozygous individuals significantly increased phagosomal acidification (Figure 4H) and enhanced intracellular mycobacterial killing (Figure 4I), supporting a direct effect of the M1V variant on host restriction of Mtb.

Figure 4. The M1V variant of TLR8 alters intracellular receptor localization and enhances intracellular killing of M. tuberculosis.

Figure 4

(A) Top: haplotype block of single-nucleotide polymorphisms (SNPs) in human TLR8 associated with protection from pulmonary tuberculosis43 with one non-synonymous coding polymorphism (rs3764880 M1V, green). Bottom: predicted signal peptide sequences of WT and M1V TLR8 suggest that the M1V polymorphism leads to alternative start codon usage (methionine at position 4).

(B) Allele frequency of TLR8 (green) in different ethnic groups (data from NCBI SNP database and Davila et al.41).

(C) RT-PCR (top) and western blot (bottom) analysis of ancestral TLR8 (WT), the M1V variant (M1V), and a mutant TLR8 with both methionines (at positions 1 and 4) changed to valines (M1,4V).

(D–F) Primary human macrophages from healthy volunteers that are homozygous or hemizygous for the ancestral TLR8 (TLR8 WT, gray) or M1V variant (TLR8 M1V, green) (n = 5 for each genotype) were infected with either Mtb CDC1551 or M. bovis BCG. (D) Viable intracellular mycobacteria were enumerated by counting CFUs in cell lysates at indicated time points post-infection. (E) Secreted cytokines were measured in supernatants at 24 h post-infection. (F) Mycobacteria-containing phagosomes (by electron microscopy) within primary macrophages from M1V homo/hemizygotes were larger, indicating the probable formation of bactericidal phago-lysosomes. At least 150 phagosomes per donor were evaluated (with 5 donors per genotype) in 3 independent experiments. Data (mean ± SEM) are representative of experiments performed in at least triplicate. *p < 0.05, **p < 0.01, and ***p < 0.001 (Student’s t test).

(G) Primary macrophages from M1V homo/hemizygotes were able to better acidify mycobacteria-containing phagosomes than macrophages from ancestral controls, measured by assessing fluorescent ratios of internalized heat-killed Mtb H37Rv labeled with both acid-quenchable (FITC) and pH-resistant (Alexa 633) fluorophores by flow cytometry. Data (mean ± SEM) are representative of experiments performed in at least triplicate using samples from n = 5 subjects for each genotype. *p < 0.05 (Student’s t test).

(H and I) Primary human macrophages from healthy volunteers homo/hemizygous for ancestral TLR8 were transfected with either Myc-tagged TLR8 WT or M1V (or empty vector). Similar exogenous TLR8 expression was confirmed by western blot analysis using a c-Myc specific antibody. Macrophages transfected with the M1V variant demonstrated (H) greater acidification of mycobacteria-containing phagosomes and (I) improved killing of intracellular mycobacteria. Data (mean ± SEM) are representative of experiments performed in at least triplicate on three independent occasions (each using a separate donor). *p < 0.05 and **p < 0.01 (Student’s t test).

(J) Mouse macrophage cells (RAW 264.7) transfected with either ancestral (WT, top) or M1V (M1V, bottom) human TLR8 tagged with c-Myc were infected with GFP-expressing MtbleuD ΔpanCD [BleuPan]), immunostained, and imaged (and co-localization quantified) using confocal microscopy (TLR8: red, Mtb: green). Images and data (mean ± SEM) are representative of experiments performed in triplicate on at least three independent occasions with a minimum of 50 cells analyzed per replicate. **p < 0.01 (Student’s t test). Scale bar: 2 μm.

Since the intracellular localization of the related receptor TLR7 is controlled by N-terminal determinants,52 we wondered whether the M1V polymorphism might favorably alter TLR8 trafficking within cells. Compared to the ancestral WT receptor, we found that the M1V variant showed improved co-localization with Mtb-containing phagosomes when expressed in RAW-264.7 mouse macrophages (Figure 4J) and has altered intracellular localization when heterologously expressed in HEK273 cells (Figure S8), which is dependent on its signal peptide, as WT and M1V TLR8-CD4 chimeric receptors are also differentially localized within cells (Figure S8). While the mechanism for this process remains unclear, changes to the signal peptide have been implicated in altered intracellular localization of other receptors (such as MC3R53).

Discussion

In summary, we have identified TLR8 as an important mediator of cell-autonomous immunity against Mtb that acts by sensing mycobacterial RNA within macrophage phagosomes and stimulating xenophagic clearance. Our data suggest that TLR8 detects RNA-containing Mtb MVs released in response to iron starvation experienced within phagosomes,44 a mechanism that may explain the observed impact of TLR8 on macrophage responses to other bacteria.5456 It is reasonable to imagine that TLR8 activation may sense viable bacteria (as previously suggested57) that are actively producing RNA-containing MVs since these are likely to be continuously and rapidly cleared or destroyed during in vivo infection.

We show that the TLR8 pathway is a potential therapeutic target during Mtb infection since it is sub-maximally activated physiologically and, when stimulated pharmacologically by resiquimod, enhances clearance of drug-susceptible and MDR-TB in vitro and in vivo. In addition to direct effects on macrophage clearance, TLR8 agonists may also improve adaptive immune responses during Mtb infection in vivo since they are recognized vaccine adjuvants.35 Importantly, resiquimod, as a licensed drug, could be rapidly repurposed and clinically evaluated as a host-directed therapy for Mtb.

Finally, we demonstrate that the M1V variant that alters the signal peptide of TLR8 is preferentially trafficked to Mtb-containing phagosomes and promotes greater intracellular mycobacterial killing, potentially explaining its genetic association with protection from pulmonary TB41 and its likely evolutionary selection and raising the possibility that polymorphisms in other genes may, singly or in combination, influence host susceptibility by regulating macrophage clearance of Mtb.

Limitations of this study

This study has a number of limitations that should be considered. Genome-wide CRISPR screen libraries, while powerful, are not fully efficient, which may lead to false negative hits, potentially missing critical genes involved in Mtb host-pathogen interactions. In vitro analysis of macrophage infection with Mtb may be influenced by culture growth conditions, which may not fully replicate the complex environment within the human host. Additionally, reliance on mouse models for TB research presents limitations, as mice do not form granulomas in the same way humans do. Moreover, the involvement of (and impact of resiquimod on) adaptive immunity, which modulates and enhances macrophage responses, may additionally contribute to the observed in vivo phenotypes.

Resource Availability

Lead contact

Requests for further information and resources should be directed to and will be fulfilled by the lead contact, Prof. R. Andres Floto (arf27@cam.ac.uk).

Materials availability

Plasmids generated in this study can be available upon request to the lead contact and the generation of a materials transfer agreement (MTA).

Star✶Methods

Key Resources Table

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
Goat Polyclonal anti-Mouse Alexa Fluor 488 Thermo Fisher Scientific A11029; RRID: AB_2534088
Goat Polyclonal anti-Mouse Alexa Fluor 555 Thermo Fisher Scientific A32727; RRID: AB_2333276
Goat Polyclonal anti-Mouse Alexa Fluor 647 Thermo Fisher Scientific A21236; RRID: AB_2535805
Goat polyclonal anti-mouse HRP conjugated Sigma-Aldrich A2554; RRID: AB_258008
Goat Polyclonal anti-Rabbit Alexa Fluor 488 Thermo Fisher Scientific A11008; RRID: AB_143165
Goat Polyclonal anti-Rabbit Alexa Fluor 555 Thermo Fisher Scientific A21428; RRID: AB_2535849
Goat Polyclonal anti-Rabbit Alexa Fluor 647 Thermo Fisher Scientific A21245; RRID: AB_2535846
Goat polyclonal anti-rabbit HRP conjugated Sigma-Aldrich A0545; RRID: AB_10689821
IgG from human serum Merck I2511; RRID: AB_1163604
Mouse monoclonal anti-FLAG M2 Sigma-Aldrich F1804; RRID: AB_262044
Mouse monoclonal anti-LC3B Nanotools 0231-100/LC3-5F10; RRID: AB_2722733
Mouse monoclonal anti-NDP52 [OTI4H5] Abcam Ab124372; RRID: AB_124372
Mouse monoclonal anti-TFEB (M01), Clone S1 Abnova H00007942; RRID: AB_548637
Mouse monoclonal anti-Ubiquitin (FK2) Sigma-Aldrich ST1200; RRID: AB_10681625
Rabbit monoclonal anti-c-Myc [Y69] Abcam Ab32072; RRID: AB_731658
Rabbit polyclonal anti-ATP6V1A Abcam Ab137574; RRID: AB_2722516
Rabbit polyclonal anti-MyD88 Abcam Ab2064; RRID: AB_302807
Rabbit polyclonal anti-TLR8 Sigma-Aldrich HPA001608; RRID: AB_1080295
Rabbit polyclonal V-ATPase A1 (H-140) Santa Cruz Sc-28801; RRID: AB_2258865
Rabbit polyclonal V5-Tag Novus Biologics NB600-381; RRID: AB_527427
Bacterial and virus strains
Drug resistant Mycobacterium tuberculosis clinical isolates (NR006, NR007, NR009, NR004, NR010, NR008, NR021, NR024, NR029, NR033, NR041, NR045) ICMR-NIRT, Chennai, India N/A
Drug susceptible Mycobacterium tuberculosis clinical isolates (NS001, NS007, NS006, NS008, NS009, NS0013, NS016, NS017, NS046, NS043, NS058, NS092, NC096, NS055, NS057) ICMR-NIRT, Chennai, India N/A
Escherichia coli Stbl3 competent cells Thermo Fisher Scientific C737303
Mycobacterium bovis BCG ATCC 35733, TMC 1010 [BCG Danish]
Mycobacterium bovis BCG-lux Floto lab (57)
Mycobacterium bovis BCG-lux-GFP Floto lab (57)
Mycobacterium chelonae National University of Singapore ATCC#TMC 1544 [Friedmann]
Mycobacterium fortuitum National University of Singapore ATCC#[TMC 1529]
Mycobacterium marinum National University of Singapore ATCC#[TMC 1218]
Mycobacterium scrofulaceum National University of Singapore ATCC# L2238 [1356, NCTC 10803, TMC 1323]
Mycobacterium tuberculosis H37Rv ATCC TMC 102 [H37Rv]
Mycobacterium tuberculosis H37Rv-GFP Dr S. Newton, London, UK N/A
Mycobacterium tuberculosis M10 Dr Chan, Seoul, Korea N/A
Mycobacterium tuberculosis TN5904 Dr B.N. Kreiswirth, Newark, NJ, USA N/A
Mycobacterium tuberculosis VirR- (Tn:rv0431) Dr Rafael Prados-Rosales, Madrid, Spain N/A
Mycobacterium tuberculosis
VirR-::WT (Tn:rv0431::rv0431)
Dr Rafael Prados-Rosales, Madrid, Spain N/A
Mycobacterium tuberculosis ΔleuD ΔpanCD (Bleupan) Dr W. Jacobs III, NY, USA N/A
Mycobacterium tuberculosis
ΔleuD ΔpanCD-GFP
Dr. Lalita Ramakrishnan, Cambridge, UK N/A
Mycobacterium tuberculosis ΔleuD ΔpanCD-lux-GFP This paper N/A
Mycobacterium tuberculosis ΔleuD ΔpanCD-mCherry Dr. Lalita Ramakrishnan, Cambridge, UK N/A
Biological samples
Bone marrow derived macrophages Dr Caetano Reis e Sousa, London, UK N/A
Bone marrow derived macrophages from mRFP-GFP-LC3 transgenic C57BL/6 mice Prof. David Rubinstein, Cambridge, UK N/A
PBMCs − monocyte-derived macrophages This paper N/A
Chemicals, peptides, and recombinant proteins
Albumin-Dextrose-Catalase Sigma-Aldrich M0553-1VL
Blasticidin Thermo Fisher Scientific R21001
Calcium pantothenate Sigma Aldrich C8731-25G
CD14+ Miltenyi Biotec 130-050-201
CFSE BioLegend 423801
CL075 Invivogen tlrl-c75
cOmplete™, Mini, EDTA-free Protease Inhibitor Cocktail Roche 11836170001
DMEM Sigma-Aldrich D6429
Dual-Luciferase Assay system Promega E1910
ECL Advance western blotting detection Sigma-Aldrich RPN2106
FCS PanBiotech P30-3702
Ficoll-Hypaque Amersham 17-5442-02
Formaldehyde Sigma-Aldrich F8775-25ML
G418/neomycin Thermo Fisher Scientific 10131035
Geneporter® 2 transfection reagent AMSBio AMS.T202015
Glutamine Sigma-Aldrich G8540
Glutaraldehyde Sigma-Aldrich 340855
Glycerol Fisher 10795711
Glycine Sigma-Aldrich G7126
HEPES Lonza CC-5022
HiPerFect transfection reagent Qiagen 301705
Human M-CSF Peprotech 300-25-100UG
Hygromycin B Cambridge Bioscience H011-20mL
Imiquimod Invivogen tlrl-imq (5 mg)
Kanamycin Merck Millipore 420411-5GM
L-Leucine Sigma-Aldrich L-8000
Lipofectamine LTX Thermo Fisher Scientific A12621
Lipofectamine® 3000 Transfection Reagent Thermo Fisher Scientific L3000008
Live Cell Imaging solution Thermo Fisher Scientific A59688DJ
LysoSensor Green DND-189 Thermo Fisher Scientific L7535
LysoTracker red DND-99 Thermo Fisher Scientific L7528
Middlebrook 7H11 agar Sigma-Aldrich M0428-500G
Middlebrook 7H9 broth Sigma-Aldrich M0178-500
Murine MCS-F Peprotech 315-02 (100μg)
OADC Fisher 12674697
Optiprep Sigma-Aldrich D1556
Osmium tetroxide Fisher Scientific 31253.01
PBS Sigma-Aldrich P4474-1L
Penicillin/Streptomycin Sigma-Aldrich P0781
Phosphatase inhibitors Sigma-Aldrich 4906845001
PMA Sigma-Aldrich P1585
Prolong Gold antifade mountant Thermo Fisher Scientific P36962
Puromycin Thermo Fisher Scientific A1113803
Resiquimod Invivogen tlrl-r848-5
RIPA buffer Thermo Fisher Scientific R0278
RNase A New England BioLabs T3018L
Roche DNase I Sigma-Aldrich #10104159001
RPMI Sigma-Aldrich R8758-500ML
ssRNA40 Invivogen tlrl-lrna40
Triton X-100 Sigma-Aldrich T9284
Tween 20 Sigma-Aldrich P9416-50ML
Tween 80 Sigma-Aldrich P4780-100ML
Zeocin Thermo Fisher Scientific R25001
Zymosan Invivogen tlrl-zyn
β-Mercaptoethanol Gibco 21985023
Critical commercial assays
AgencourtRNAClean XP beads Beckman Coulter a63987
Agilent High Sensitivity DNA kit Agilent Technologies 5067-4626
Amaxa Cell Line Nucleofector Kit V Lonza VCA-1003
Bio-Plex 17-plex (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12 (p70), IL-13, IL-17, G-CSF, GM-CSF, IFN-γ, MCP-1 (MCAF), MIP-1β and TNF-α) cytokine assay kit Merck Millipore HCYTOMAG-60K
DNeasy Blood and Tissue kit Qiagen 69504
Endotoxin Free Maxi kit Qiagen 12362
High Pure RNA isolation kit Roche 11828665001
Hiseq Rapid SBS kit V2 50 cycles Illumina FC-402-4022
Magic Red Cathepsin B kit BioRad ICT938
PCR cleanup kit Qiagen 28104
Pierce BCA Protein Assay Kits Thermo Fisher Scientific 20-2,000 μg/mL
QIAampFFPE purification kit Qiagen 56404
Qubit dsDNA HS DNA Kit Thermo Fisher Scientific Q32851
Qubit RNA HS Assay Kit Thermo Fisher Scientific Q32852
QuikChange® II XL Stratagene 200522
SuperScript-II Reverse Transcriptase Thermo Fisher Scientific 18064014
TruSeq small RNA library Illumina RS-200-0012
Deposited data
Raw and analyzed CRISPR data This paper EBI-ENA accession number:
PRJEB62758
RNA Seq Raw data This paper Gene Expression Omnibus number: GSE288494
Experimental models: Cell lines
FLAG-tagged TFEB reporter HeLa cells Prof. David Rubinstein, Cambridge, UK N/A
HEK293T cells ATCC CRL-3216
HeLa cells ATCC CCL-2
Raw 264.7 cells ATCC TIB-71
THP-1 BLUE NFkB cells Invivogen thp-nfkbv2
THP-1 cells ATCC TIB-202
THP1 AP-1-Luc2 cells ATCC (RRID:CVCL_A4CA)
TLR8-expressing Raw 264.7 cells This paper N/A
TLR8-TFEB expressing HeLa cells This paper N/A
Experimental models: Organisms/strains
C57BL/6 mice The Jackson Laboratories #000664
Oligonucleotides
See Table S5 N/A N/A
Recombinant DNA
Human Toronto Knockout Library Addgene #90294
LentiCRISPRv2 Addgene #52961
pcDNA3.1-c-myc-TLR8 This paper N/A
pcDNA3.1-V5-TLR8 This paper N/A
pcDNA3.1-TLR8-M1V This paper N/A
pcDNA™3.1/V5-His-TLR8/TLR2 This paper N/A
pcDNA™3.1/V5-His Thermo Fisher Scientific V81020
pCMV-VSV-G Addgene #8454
pGL4 luciferase reporter vector Promega #TM259
psPAX2 Addgene #12260
pSpCas9 (BB)-2A-Puro (PX459) Addgene #48139
Software and algorithms
CirGO N/A (67)
CRISPR screen code This paper Zenodo: https://doi.org/10.5281/zenodo.14982932
FASTQC software N/A version 0.11.9
FlowJo N/A version 10.10.0
GraphPad Prism N/A version 10.2.3 (347), April 21, 2024
HGNC N/A https://www.genenames.org
ImageJ software N/A Version 2.9.0/1.53t
NIS Elements AR analysis software N/A Version 4.00.07
Panther tool N/A http://www.pantherdb.org
RAxML N/A version 8.2.8
Trim Galore N/A version 0.6.4_dev
Zen software N/A version 2010
ZetaView Software N/A version 8.05.12 SP1

Experimental Model And Study Participant Details

Mycobacteria

The following strains of mycobacteria were used: Mycobacterium tuberculosis H37Rv, M. tuberculosis H37Rv-GFP; M. tuberculosis VirR- (Tn:rv0431) and its complemented strain M. tuberculosis VirR-::WT (Tn:rv0431::rv0431),47 M. bovis BCG, BCG-lux (a luminescent reporter strain of M. bovis BCG encoding the Vibrio lux AB gene or GFP58), clinical isolates of M. scrofulaceum, M. marinum, M. chelonae, M. fortuitum, multi-drug resistant (MDR) isolates of M. tuberculosis (TN5904 and M10); have also been used some clinical isolates of M. tuberculosis from the Bacteriology Division of the ICMR-National Institute for Research in Tuberculosis (Chennai, India) that were either drug-susceptible and multidrug-resistant. Isolates were grown as previously described31,59 in Middlebrook 7H9 broth containing 0.5% glycerol, 0.05% Tween 80 and 10% albumin–dextrose–catalase enrichment.

Auxotrophic M. tuberculosis

M. tuberculosis ΔleuD ΔpanCD (Bleupan) double auxotroph strain60 (gift from Dr Bill Jacobs) was transduced with pSMT12-mCherry or pSMT12-GFP (gifts from Dr Lalita Ramakrishnan, Cambridge, UK) or pSMT1-LuxAB-GFP, and grown in Middlebrook 7H9 broth containing 0.5% glycerol, 0.05% Tween 80 and 10% oleic acid–albumin–dextrose–catalase enrichment (OADC), 0.05 mg/mL L-leucine, 0.024 mg/mL calcium pantothenate. When necessary, 50 μg/mL hygromycin B, 40 μg/mL kanamycin or 50 μg/mL zeocin were added to cultures. Bacteria were grown for 15 days at 37°C, then transferred in bigger culture volume (1/100 dilution) for 10 more days in media of the same composition.

Mycobacterial homogenates

For generation of mycobacteria homogenates, mycobacterial cultures were harvested, washed, and resuspended in phosphate-buffered saline (PBS). Bacteria were disrupted by bead-beating in a bullet blender (Next Advance) for 5 min and homogenates were briefly centrifuged to remove the beads and intact cells. Experiments to identify the mycobacterial ligand for TLR8 were performed on M. bovis BCG homogenates either heat denatured at 95°C for 5min; or subjected to enzymatic digestion by RNase A or DNase I for 15 min at room temperature. 1 unit of RNase or DNase was used for every 1μg of M. bovis BCG homogenate. RNA and DNA from M bovis BCG were obtained from cultures grown to mid-log phase using the Roche High Pure RNA Isolation kit and the DNeasy Blood and Tissue Kit respectively, according to manufacturers’ instructions.

Single cell bacterial suspensions

To prepare single cell suspensions of bacteria prior to infection, bacteria were centrifuged 24 h prior to experiment and resuspended in bacterial growth media without tween to allow one generation time and complete reformation of mycobacterial cell wall. On the day of infection, mycobacterial cultures were passed through a 27-gauge needle 10 to 12 times prior to injecting through a 5- μm filter to achieve close to single cell suspensions of bacteria.

Colony forming units

To enumerate colony forming units (CFU) counts, bacterial suspensions were plated on Middlebrook 7H11 agar with 10% OADC enrichment supplement and CFU were counted after 21 days of incubation at 37°C.

Subjects details

Healthy consented individuals were genotyped at the TLR8 locus and recalled, stratified by genotype to provide peripheral blood samples (described below). Samples from at least 5 individuals homozygous or hemizygous for ancestral (WT) TLR8 and at least 5 individuals homozygous or hemizygous for M1V TLR8 were compared in functional experiments. Informed by pilot experiments, samples size calculations, based on observed standard deviation of 10% in macrophage intracellular killing and cytokine production, indicated that recruitment of n = 4 subjects in each arm would provide an 80% power to detect a 20% difference in responses between genotypes (alpha 0.05).

Mammalian cell cultures

Monocyte-derived macrophages

Peripheral blood mononuclear cells (PBMCs) were generated as previously described.31 Briefly, PBMCs were isolated from peripheral blood obtained from healthy consented subjects (approved by Regional NHS Research Ethics Committee), stratified by TLR8 WT or M1V genotype, by Ficoll-Hypaque density separation. CD14+ positive selection using magnetic beads was used to extract monocytes, which were subsequently differentiated into macrophages by stimulation with 200 ng/mL M-CSF in DMEM containing 2 mM L-glutamine, 10% FCS, 100 U/ml penicillin/streptomycin. Cells were differentiated for six days before assaying.

Bone-marrow-derived macrophages

Generation and culture of bone-marrow-derived macrophages (BMDM) was caried out as previous described.61 Femurs from 15-week-old female TLR7 knockout mice (generated as previously described62) or age and sex-matched C57BL/6 mouse controls were dissected to remove both ends and flushed with a 21-guage needle into serum-free DMEM. Cells were then centrifuged to remove cell culture medium and cultured in 10mL DMEM supplemented with 20% FCS, 100U/mL penicillin/streptomycin, 50μM tissueculture grade β-Mercaptoethanol and 200 nM murine MCS-F for 3 days, after which fresh medium was added. Cells were then incubated for another 3 days before the cells were scraped and seeded onto 24-well plates for experiments.

THP-1 macrophages

THP-1 cells, THP-1 BLUE NF-κB and AP-1 reporter monocytes were maintained in RPMI 1640, 10% FCS, 100 U/ml penicillin/streptomycin, 2 mM L-glutamine, and 200 μg/mL Zeocin when needed. Cells were supplemented with 40 ng/mL 12-phorbol 13-myristate acetate PMA for 48h to stimulate differentiation into macrophages.

Other cell lines

HeLa cells, FLAG-tagged TFEB reporter HeLa cells (gift from Dr David Rubinzstein, Cambridge, UK49), HEK 293T cells and RAW 264.7 cells were maintained in DMEM, 10% FCS, 100 U/ml penicillin/streptomycin, 2 mM L-glutamine. G418/neomycin (500 μg/mL was added to transfected cells (TLR8/TFEB-expressing HeLa, TLR8-expressing RAW 264.7).

In vivo animal study

Specific-pathogen-free female C57BL/6 mice, from 6 to 8 weeks old, were purchased from the Jackson Laboratories, Bar Harbor, Maine. Mice were maintained in the Biosafety Level III animal laboratory at Colorado State University, and were given sterile water, mouse chow, bedding, and enrichment for the duration of the experiments. The specific pathogen-free nature of the mouse colonies was demonstrated by testing sentinel animals. All experimental protocols were approved by the Animal Care and Usage Committee of Colorado State University. The CSU animal assurance welfare number is A3572-01.

Method Details

Extracellular membrane vesicles

Purification of extracellular membrane vesicles (MVs)44

M. tuberculosis H37Rv bacterial cultures were grown in 7H9 medium for 7 days, then subsequently inoculated into minimal medium and incubated at 37°C for 14 days.43 Bacterial cultures were sequentially filtered through 0.45-μm and 0.22-μm-pore size filters, and concentrated using an Amicon Ultrafiltration system with a 100-kDa-exclusion filter. The recovered concentrate was centrifuged to recover the vesicle pellet. The membrane vesicles were purified by density gradient ultracentrifugation using OptiPrep solution prepared in Dulbecco’s phosphate buffered saline.

MV RNA isolation, sequencing, and analysis

RNA was isolated from Mtb H37Rv MVs following and acid phenol-chlorophorm isoamyl alcohol method. The quantity and quality of the RNAs were evaluated using Qubit RNA HS Assay Kit and Agilent RNA 6000 Nano Chips (Agilent Technologies), respectively. Sequencing libraries were prepared using a TruSeq small RNA library and selecting RNA sizes from 20 to 300 nt. Briefly, starting from 300 ng of total RNA, rRNA was removed and the remaining RNA was cleaned up using AgencourtRNAClean XP beads. Purified RNA was fragmented and primed for cDNA synthesis. cDNA first strand was synthesized with SuperScript-II Reverse Transcriptase for 10 min at 25°C, 15 min at 42°C, 15 min at 70°C and pause at 4°C. cDNA second strand was synthesized with Illumina reagents at 16°C for 1 h. Then, A-tailing and adaptor ligation were performed. Libraries enrichment was achieved by PCR (30 s at 98°C; 15 cycles of 10 s at 98°C, 30 s at 60°C, 30 s at 72°C; 5 min at 72°C and pause at 4°C). Afterward, libraries were visualized on an Agilent 2100 Bioanalyzer using Agilent High Sensitivity DNA kit and quantified using Qubit dsDNA HS DNA Kit. Library sequencing was carried out on an Illumina HiSeq2500 sequencer with 50 nucleotides single end reads. Quality Control of sequenced samples was performed using FASTQC software (version 0.11.9).63 Adapter trimming and low-quality reads removal were performed using Trim Galore version 0.6.4_dev.64 Reads from each strain were mapped against the M. tuberculosis H37RV strain reference genome from Myco-browser (Release 4, 2021-03-23) using kallisto65 with single-end run mode. Functional categories of M. tuberculosis H37RV protein coding genes were extracted from Mycobrowser.66

Confocal microscopy

Isolated M. tuberculosis MVs were subsequently fluorescently labeled with carboxyfluorescein succinimidyl ester (CFSE) as previously described.44 prior to incubation with differentiated THP-1 cells. To assess MyD88 signaling, CFSE-labelled MVs suspension in DMEM with 10% FCS were added to differentiated THP-1 cells in the presence or absence of 100 μg/mL RNAse A and incubated at 37°C for 2 h. The cells were then washed, fixed and immunostained for MyD88.

Quantification of MVs by nanoparticle tracking analysis (NTA)

Nanoparticle tracking analysis (NTA) was conducted using ZetaView (Particle Metrix). Instrument calibration was performed prior to EV analysis using 102 nm polystyrene beads (Thermo Fisher Scientific, USA), according to manufacturer instructions. Measurements were performed using a 405 nm 68 mW laser and CMOS camera by scanning 11 cell positions and capturing 60 frames per position at 25°C with camera sensitivity 85, shutter speed 100, autofocus and automatic scattering intensity. Samples were diluted in pre-filtered PBS to approximately 106-107 particles⋅ml−1 in Millipore DI water. Analysis was performed using ZetaView Software version 8.05.12 SP1 with a minimum brightness 30, maximum brightness 255, minimum area 5, maximum area 1000, and minimum trace length 15. Triplicate videos of each sample were taken in light scatter mode. Particle size and concentration were analyzed using a built-in protocol and plotted using graph pad Prism 8.0 software.

Scanning electron microscopy (SEM)

Cells were fixed with 2.5% glutaraldehyde, 0.1 M sodium cacodylate, 0.2 M sucrose, 5 mM MgCl2(pH 7.4) and were dehydrated through a graded series of ethanol solutions before critical-point drying using liquid carbon dioxide in a Toumisis Samdri 795 device and sputter-coating with gold-palladium in a Denton Vacuum Desk-2 device. Samples were examined in a Zeiss Supra Field Emission Scanning Electron Microscope (Carl Zeiss Microscopy, LLC North America), using an accelerating voltage of 5 kV.

THP1 CRISPR knockout library

Genome-wide CRISPR library

The CRISPR knockout pooled library plasmids was prepared following the protocol previously described.15 Briefly, the Human Toronto Knockout library (TKO V1) was amplified by transformation in Stbl3 competent cells. Colonies were scraped off plates, pooled and purified using Qiagen endotoxin free Maxi kit. Lentiviral particles were generated by transfecting HEK293T cells with the pooled CRISPR library plasmids, and used to transduce Cas-9-expressing THP-1. Cells were maintained in RPMI 1640, 10% FCS, 100 U/ml penicillin/streptomycin, 2 mM L-glutamine, 1 μg/mL Puromycin and 10 μg/mL Blasticidin. Differentiation into macrophages was achieved by treating cells with 20 ng/mL 12-phorbol 13-myristate acetate PMA for 48h prior to experiment.

After 24h of infection with fluorescent M. tuberculosis, THP-1 cells were detached using accutase incubation for 20 min at 37°C 5% CO2, spun down 300g 5min and fixed in formaldehyde 4% for 1 h. Cells were then FACS sorted to obtain the top brightest 21% of the population (together with the total population) using a Sony Biotechnology Synergy High Speed Cell Sorter. Genomic DNA was purified using Qiagen FFPE purification kit for fixed cells and amplified by PCR. PCR products were purified using Qiagen PCR clean up and reamplified using the following primers containing P5/7 adaptors as well as appropriate indexes necessary for Illumina sequencing. PCR reactions were cleaned up and remaining low molecular weight contaminants removed by AMPure XP beads purification using a ratio of 1.6:1. Purification and quantitation were validated using Agilent DNA 1000 chips and confirmed by qPCR. Sequencing was performed on Illumina Hiseq NGS using a Hiseq Rapid SBS kit V2 50 cycles (Illumina).

CRISPR screen analysis

Read counts were quantified using the cluster-based approach CB2 by aligning against the Toronto Knock out Library.67 Guide counts were normalized to counts per 1M sequencing reads for every sample. The values for the unsorted population from all three experiments were combined, choosing the highest count across experiments to represent each guide and compared to the sorted samples from each of the three independent experiments. An aggregate fold change was calculated conservatively as the minimum fold change between the unsorted population and each of the three experiments. To test for overrepresentation of guides in the sorted vs. unsorted population, a permutation test was performed. Three rounds of label permuting were conducted to accurately simulate the quantification process generating a randomized unsorted guide count distribution for each of the three experiments. Guides that had less than 0.1 counts per 1M reads in the unsorted population were removed from the analysis. As before, the aggregate log fold change was calculated as the minimum fold change across the three (permuted) experiments. For every guide, the p-value was then defined as the fraction of the number of guides that had a higher minimum log fold change value in the real than in the permuted dataset, and the total number of guides analyzed.

GO terms analysis

To visualise genes in the CRISPR screen, hits with a p value < 0.05 were transformed into approved symbols using HUGO Gene Nomenclature Committee (HGNC, https://www.genenames.org). The approved symbols were then entered into Panther tools software to assign Gene Ontology (GO) terms to all the hits (http://www.pantherdb.org). REVIGO enrichment analysis68 was used to reduce and visualise GO terms. GO terms are therefore summarised and redundancy is removed. Finally, a Python script for circular visualisation of GO terms (CirGO) was used for graphic representation.69

Network analysis

To investigate the functional connectivity of genes identified in the CRISPR screen, we constructed a network of interactions from the Pathway Commons database70 and performed network propagation using a random walk with restart (RWR) algorithm.71 RWR is designed to retain local connectivity between genes by restarting the signal diffusion process after a limited number of steps, with a fixed probability determined by a restart parameter (r).We used the implementation of RWR provided in the dnet package of the R statistical computing environment,72 with r = 0.2 and Laplacian normalisation of the adjacency matrix. The −log10(p value) for each of the 19,102 genes in the CRISPR screen were used as starting weights for propagation. To account for the fact that highly connected genes (nodes) tend to receive higher steady state scores via RWR, we performed a permutation test in which the starting weights for genes (−log10(Pvalue)) were randomised and RWR was performed a total of 30,000 times. An empirical p value foreach gene was then calculated as the proportion of permuted steady state scores at least as large as that observed from the CRISPR screen data. Interactions between genes with p values <0.05 were (n = 928) were used to construct a sub-network from the Pathway Commons database. From the resulting sub-network, interactions between genes in the top six largest significantly enriched GO terms identified through the REVIGO enrichment analysis were visualised.

Individual CRISPR knockout cell lines

For individual single guide RNA (sgRNA) cloning, pairs of oligonucleotides were designed and ordered from Sigma with restriction enzyme-compatible overhangs, separately annealed and cloned into the transient CRISPR plasmid pSpCas9 (BB)-2A-Puro (PX459) as previously described.73 For cloning into lentiviral vector, LentiCRISPRv2 was digested with BsmBI (Fermentas), and the linearized vector was gel purified before ligation of annealed guide oligo pairs.74 The constructs were amplified in Stbl3 cells cells and plasmids were purified using endotoxin-free maxi kits. Lentiviral particles were produced by co-transfection of LentiCRISPRv2 constructs, psPAX2, and pCMV-VSV-G at a 1:2:1 ratio into HEK 293ET cells using TransIT-293 Transfection Reagent (Mirus Bio LLC) reagent according to manufacturer’s instructions. TLR8, TLR7, and ATG12 CRISPR knockout in THP-1 cells were generated by cloning relevant targeting guide sequences into lentiGuide-Puro vector, producing viral particles by transfection into HEK 293T cells as previously described74 and subsequently transducing THP-1 cells expressing lentiCas9-Blast. Cells were maintained in RPMI 1640, 10% FCS, 100 U/ml penicillin/streptomycin, 2 mM L-glutamine, 1 μg/mL Puromycin and 10 μg/mL Blasticidin. Single cell clones were expanded, sequenced to confirm gene knockout, and then pooled. To stimulate differentiation into macrophages, cells were treated with 20 ng/mL 12-phorbol 13-myristate acetate PMA for 48h prior to experiment.

Plasmid constructs

TLR8 was cloned into a pcDNA3.1 vector (adding c-myc or V5 tags where indicated) and the TLR8 M1V variant generated by sitedirected mutagenesis using QuikChange II XL. TLR8/2 chimera constructs were generated by PCR cloning to fuse the transmembrane (TM) domain of TLR2 with the extracellular TLR8 domain using the Platinum Taq DNA Polymerase High Fidelity Master Mix (Invitrogen) with TLR8/2 primers. The primers used were specific for TLR8 amino acid residues 1–843. For TLR2, primers for the transmembrane domain amino acid residues 588–610 were used. The fragments were then purified, combined and used as templates for a second PCR with the fragment overlapping sequences and the respective forward and reverse primers. The resultant full-length PCR products were subsequently cloned into pcDNA3.1/V5-His.

Transfections

HEK293T cells, HeLa cells, FLAG-tagged TFEB reporter HeLa cells49 were transfected using Lipofectamine 3000 Transfection Reagent and THP1 cells using Lipofectamine LTX according to manufacturer’s instructions, and assayed 48h post transfection. Primary human macrophages and RAW 264.7 macrophages were nucleofected using the Amaxa Cell Line Nucleofector Kit V and NucleofectorII Device with programs Y-010 and D-032, respectively. Prior to transfection, complete cell culture medium was removed, and cells were incubated at 37°C 5% CO2 in DMEM containing 10% FCS. Cells were evaluated at least 48 h post transfection, either by western blot or immunofluorescence.

SiRNA experiments

For silencing experiments, Accell SMARTpool siRNA for Human TLR8 was obtained from Dharmacon with target sequences against CAAUUAAUAUAGAUCGUUU, CUGGGAUG UUUGGUUAUA, CUAUCAACUUGGGUAUUAA and GUCUUGACUGAAAAUGAUU. PMA-differentiated THP-1 cells were transfected with 1μM of siTLR8 according to manufacturer’s protocol, and assayed 72h post-transfection. Primary human macrophages were differentiated for three days and transfected with 1μM of either siTLR8 or other PRRs siRNApools using HiPerFect transfection reagent (Qiagen) for 5min, and complexes were added drop by drop onto the cells and incubated for 6hours. DMEM was added afterward and cells were kept at 37°C for 3 more days.

Mycobacterial infections of macrophages

Infection of primary human macrophages was adapted from Schiebler et al.31 Primary human macrophages WT or knocked down with siTLR8 were infected with M. tuberculosis H37Rv, M. tuberculosis Bleupan, M. bovis BCG or M. bovis BCG-lux at a multiplicity of infection (MOI) of 5:1 for 2 h, washed in PBS and incubated at 37°C for 24 h. At indicated time points cells were washed repeatedly, lysed in ddH2O, serially diluted and plated onto Middlebrook 7H11 agar plates for CFU enumeration or cell-associated luminescence measurement. Infection of THP-1 macrophages with M. tuberculosis Bleupan, M. bovis BCG, or clinical isolates of drug-sensitive and drug-resistant M. tuberculosis, was performed at a MOI of 5:1. Infected macrophages were harvested at defined time points, lysed in ddH2O, serially diluted, and plated on 7H11 agar medium supplemented as described above.

For infection of THP1 cells with WT, VirR-, VirR-:WT strains, bacteria cultures were grown as previously described, harvested at mid-log phase, resuspended in PBS and fluorescently labeled with Carboxyfluorescein succinimidyl ester (CFSE) kit for 30 min at 37°C. Bacterial suspensions were then washed twice in PBS with centrifugation steps (3000 g for 10 min) to remove supernatants, and bacterial pellets were finally resuspended in DMEM, 10% FCS prior to macrophage infection. Infection was carried out as described above and cells were incubated either with or without 200 μg/mL RNAse A for 2 h prior to fixing and immunostaining for MyD88.

Cell death analysis

LDH release assay

To assess cell viability, 200uL of cell supernants were harvested after 24h of infection of different cell types (Human Primary macrophages and THP-1 cells) with M. tuberculosis Bleupan at MOI 10:1. A CyQUANT LDH Cytotoxicity assay was then immediately performed following manufacturer’s instruction. In details, supernatants were incubated with CyQUANT substrate mix for 30 min at room temperature and protected from light. Reaction was then stopped by addition of the stop solution volume to volume with substrate mix. Absorbance was measure at both 490nm (sample signal) and 680nm (background signal from the instrument). Maximum release was measured by lysis cells using 10x lysis buffer. Data are presented as the percentage of maximum release on 3 independent experiments each ran in triplicate.

Live or dye staining

An orthogonal way to assess cell viability was to measure cell positively stained with Live or Dye Fixable Staining Viability Kit using flow cytometry. Basically, 24 h following infection with a range of M. tuberculosis Bleupan MOIs, WT and TLR8 KO THP-1 cells were washed once with PBS without Ca2+ nor Mg2+, and detached using Accutase incubation for 15min. Accutase was inactivated by addition of FCS-containing media, cells were then harvested, washed again once with PBS and incubated at room temperature for 30min protected from light with Live or Dye at a concentration of 1uL of dye per million cells per mL. Cells were washed again once with PBS and kept at 4C in BD CellFIX solution until analysis by FACS using a BD Fortessa (analysis was run within the next 48 h). These experiments have been done in triplicate, and for each experiment every condition was assess in triplicate.

Confocal imaging

Immunofluorescence experiments were undertaken as previously described.31 Cells were seeded on glass coverslips in 24-well tissue culture plates prior to infection with either M. tuberculosis H37Rv or M. tuberculosis ΔleuD ΔpanCD (Bleupan) double auxotroph expressing either GFP- or mCherry. Following incubation at various time points, cells were washed with PBS, fixed wih 4% parafor-maldehyde (PFA) in PBS for at least 30 min and permeabilized for 5 min with 0.1% Triton X-100 prior to immunostaining. Primary antibodies (against MyD88, V-ATPase, Ubiquitin, NDP52, LC3, V5 or Myc) were diluted to recommended concentrations in staining medium (DMEM, 10% FCS, 10 mM Glycine, 10 mM HEPES pH 7.4) to which IgG (1:00) was added and the cells were incubated at room temperature for 2 h. Cells were subsequently washed twice in staining medium. Cells were incubated with secondary antibodies (Alexa Fluor 555 and 647 (Invitrogen)) for 30 min, protected from light. The cells were subsequently washed, and the coverslips were dipped in water prior to mounting on slides using ProLong Gold Antifade Mountant with DAPI. Slides were left to dry overnight, protected from light. Images were acquired either on a Zeiss LSM780 or LSM880 confocal microscope (Plan-Apochromat 63x/1.40 Oil immersion lens) and analyzed with Zen 2010 software, Zeiss LSM Image Browser (Carl Zeiss), or NIS Elements AR analysis (Nikon) software and ImageJ.

For analysis of lysosomal number and acidification in THP1 macrophages, uninfected THP1 macrophages were either treated with the TLR8 agonist R848 at 10 μg/mL or left untreated for 24 h at 37°C, subsequently washed and incubated with 40 nM LysoTracker Red DND-99 and 1 μM LysoSensor Green DND-189 for 15 min. The cells were then washed twice with PBS after which Live Cell Imaging solution was added. Live confocal imaging was carried out on the Zeiss LSM 780 UV. Quantitation of lysosomes was performed using the ImageJ plugin on Fiji app. HEK 293T co-transfected with TLR8 WT-Myc tagged and TLR8 M1V-V5 tagged were fixed in methanol-acetone for immunofluorescent staining with anti-Myc and anti-V5 antibodies, and counterstained with Alexa 488 and Alexa 647 conjugated secondary antibodies. All cells were visualised using a Leica True Confocal Scanner SP5.

Bone marrow-derived macrophages were generated (as previously described61) from femurs of transgenic mice stably expressing mRFP-GFP-LC375 (kind gift from Dr David Rubinsztein, Cambridge, UK), and were either left untreated or treated with 10ug/mL of TLR8 agonist R848 for 24hours at 37°C 5% CO2. Cells were then washed with PBS, and incubated in live cell imaging solution (In-vitrogen) prior to live confocal imaging to visualize lysosomes. Imaging was carried out using on a Zeiss LSM 780UV microscope and quantitation of lysosomes was performed using ImageJ.

Cytokine analysis

Primary macrophages were infected with either M. tuberculosis ΔleuD ΔpanCD (Bleupan) double auxotroph or M. bovis BCG, and either left untreated or treated with R848 10 μg/ml. Cell culture supernatant was collected 24 h post infection and analyzed using Bio-Plex 17-plex (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12 (p70), IL-13, IL-17, G-CSF, GM-CSF, IFN-γ, MCP-1 (MCAF), MIP-1β and TNF-α) cytokine assay kit (Biorad) according to manufacturer’s instructions.

Activation assays to determine TLR ligand

Dual luciferase assay

HEK293T cells were co-transfected with TLR8/2 and the pGL4 luciferase reporter vectors (Promega) using Geneporter 2 (Genlantis) transfection reagent according to manufacturers’ protocol. HEK293T cells expressing the TLR8/2 and the pGL4 luciferase reporter vectors were treated with various ligands 24h post-transfection. Cells were lysed in passive lysis buffer and lysates were analyzed for luciferase activity using the Dual-Luciferase Assay system (Promega). The resultant TLR8/2 chimera generated to promote stable surface expression of TLR8 in HEK293T cells were treated with either whole or lysed mycobacteria, TLR8 ligands CL075 or ssRNA40 (InvivoGen) or TLR2 ligand Zymosan (InvivoGen) to monitor NF-κB signaling by luminescence.

Quantification of NF-κB activation

differentiated TLR8 knockdown (or control) THP-1 BLUE cells were infected with M. tuberculosis H37Rv, M. bovis BCG, M. marinum, M. scrofulaceum, M. fortuitum, or M. chelonae, or treated with the TLR8 ligand ssRNA40. Supernatants were collected after 24hours and the levels of NF-κB-induced SEAP were quantified by colorimetric analysis, according to manufacturer’s instructions.

Phylogenetic analysis

Maximum likelihood phylogenetic tree of all isolates tested were constructed using RAxML (version 8.2.8), generated by mapping detected SNP positions to M. tuberculosis H37Rv strain. Representative strains from the main six M. tuberculosis lineages described by Comas et al., (2013)76 were included in the analysis for genomic context.

Quantitation of lysosomal degradative capacity

Uninfected control or R848-tretated THP-1 macrophages were incubated at 37°C for 24hours, washed and incubated with Magic Red Cathepsin B Kit for 1 h according to manufacturer’s instructions, then washed twice in PBS. Cells were then resuspended in colorless live imaging solution and transferred onto 96 well plate for detection of cell-associated fluorescence on the CLARIOstar Plus Multi-mode Microplate Reader (BMG Labtech).

Analysis of phagosomal pH and size

The pH of phagosomes containing MTB was assessed as previously described.77 Briefly, primary human macrophages from individuals that were either homo/hemizygous for the WT and M1V alleles were incubated with PFA-killed M. tuberculosis H37Rv double-labelled with acid quenchable (FITC) and pH-resistant (Alexa 633) for a 1h pulse and 23 h chase. The cells were analyzed by flow cytometry and intracellular calibration was performed as previously described.77 At least 3 independent experiments were performed, each of them on 5 donors for each genotype, assessing at least 3000 cells per donor using flow cytometry.

For electron microscopy visualization, primary macrophages were infected with M. bovis BCG (MOI 10:1). After 24 h of infection, macrophages were washed and fixed in 0.4% glutaraldehyde for 2 h at room temperature. Samples were then post-fixed in 1% osmium tetroxide followed by dehydration in an ascending graded series of ethanol and embedding in LR white resin. Ultrathin sections (50-70nm) were stained with 2% uranyl acetate and lead citrate and examined in a JM1010 electron microscope (JEOL). Phagosome area was measured using ImageJ. At least 150 phagosomes per donor were evaluated, (with 5 donors per genotype) in 3 independent experiments.

Western blotting

At the indicated time points, cells were washed twice with PBS, and lysed using RIPA buffer containing a proteinase inhibitor cocktail and phosphatase inhibitors. Total protein content was quantified by BCA (Thermo Scientific) prior to loading at 20μg and resolving on 17% SDS-PAGE gels, and electro-blotting on to PVDF membranes (Millipore) in a wet transfer Cell (Bio-Rad). PVDF membranes were blocked by incubation in PBS supplemented with 5% (w/v) fat-free milk powder and 0.005% (v/v) Tween 20 for 1 h at room temperature. Membranes were washed repeatedly and incubated with primary antibodies following manufacturer recommended concentrations overnight at 4°C. Membranes were then washed and incubated for 1 h with 1:50 000 dilution of the horseradish peroxidase-(HRP) conjugated secondary antibodies: HRP (Santa Cruz Biotechnology). Membranes were revealed using ECL Advance Western Blotting Detection kit according to the manufacturer’s instructions.

Mouse infection experiment

C57BL/6 mice were challenged by low-dose aerosol exposure with M. tuberculosis using a Glas-Col aerosol generator calibrated to deliver 50–100 CFU of bacteria into the lungs. Information regarding preparation of bacterial stocks and growth characteristics of the various bacterial strains (n = 5) used were as previously described. Strain MDR-TB M10 (resistance profile: Low-level fluoroquinolone resistance, Isoniazid, Rifampicin, Ethambutol, Streptomycin and Pyrazinamide) was originally provided by Dr. Chan, (Seoul, Korea). Strain MDR-TB TN5904 (resistance profile: INH (R, 1.6), EMB (S), RIF (R > 8), STR (R, 10), KAN (S) was originally provided by B. N. Kreiswirth, (Public Health Research Institute TB Center, Newark, NJ).

On Day 1 after infection, enumeration of bacteria was performed on two mice. Treatment was started from Day 20 to Day 50 after infection and consisted of the following groups: Control (saline; 0.1 mL intraperitoneal injection once daily) and R848 (2 mg/kg by 0.1 mL intraperitoneal injection once daily). On days 20, 35 and 50 following infection, bacterial loads in the lungs and spleen, lung and spleen histology, and flow cytometry were determined in 5 mice from each group. Bacterial counts were determined by plating serial dilutions of homogenates of lungs on nutrient 7H11 agar and counting colony-forming units after incubation at 37°C. All experimental protocols were approved by the Animal Care and Usage Committee of Colorado State University, and experiments were performed in accordance with NIH guidelines. To minimize bias, two groups of independent researchers performed the experiment. One group dosed the animals, whereas the second group determined bacterial burden in the different organs. A total of five animals were infected for each time point. Statistical analysis was performed by first converting CFU to logarithmic values and evaluated by a one-way ANOVA followed by a multiple comparison analysis of variance by a one-way Tukey test (SigmaStat software program). Differences were considered significant at the 95% level of confidence.

Quantification and Stastitical Analysis

Having confirmed the normality of data, P-values for assays were determined using two-tailed Student’s t-test or ANOVA (as indicated) using GraphPad. Unless otherwise indicated, experiments were performed on at least three separate occasions with at least triplicate samples for each condition and represented as mean and standard error (SEM).

Supplementary Material

Supplemental information can be found online at https://doi.org/10.1016/j.celrep.2025.115657.

Supplementary Material

Highlights.

  • CRISPR screening implicates TLR8 as a controller of intracellular Mtb replication

  • TLR8 detects RNA-rich Mtb membrane vesicles in phagosomes, triggering xenophagy

  • The TLR8 M1V variant boosts Mtb killing via preferential trafficking to phagosome

  • An FDA-approved TLR8 agonist improves Mtb clearance, suggesting clinical utility

In brief.

Maserumule et al. show that TLR8 senses mycobacterial RNA in macrophage phagosomes, triggering xenophagy to clear Mycobacterium tuberculosis (Mtb). TLR8 polymorphisms affect tuberculosis susceptibility, and resiquimod, a TLR8 agonist, enhances clearance of drug-susceptible and multidrug-resistant Mtb in vitro and in vivo, offering the potential for therapeutic repurposing.

Acknowledgments

We thank Dr. Ben Porebski (MRC LMB, UK) for help with CRISPR screen sequencing, Dr. Caetano Reis e Sousa (Crick Institute, London, UK) for TLR7 mouse bone marrow, Dr. David Rubinzstein for TFEB cell lines and bone marrow from mCherry-GFP LC3 transgenic mice, and Dr. Brian Robertson for help with Mtb transfections. Primary cell in vitro experiments were authorized by regional ethics approval REC 12/WA/0148. This work was supported by Wellcome Trust grants 107032AIA (R.A.F., C.P., K.H., K.B., A.W., and A.D.), 226602/Z/22/Z (R.A.F., C.P., A.W., and A.D.), and 10224/Z/15/Z (J. Bryant); the UK Cystic Fibrosis Trust (Innovation Hub grant 001 [R.A.F., C.P., K.H., K.B., A.W., and A.D.] and Strategic Research Centre grants 002 and 010 [R.A.F., D.O., and D.V.]); the NIHR Cambridge Biomedical Research Centre (R.A.F. and K.B.); the Cambridge Commonwealth Trust (C.M.); Botnar Foundation grant 6063 (R.A.F., C.P., K.H., K.B., A.W., and A.D.); NIH RO1AI162821 and Spanish MICINN contracts PID2019-110240RB-I00 and PID2022-136611OB-I00 (R.P.-R.); and the Bill and Melinda Gates Foundation (P.A.M., O.S.H.O., and S.K.).

Footnotes

Author Contributions

P.A.M. and R.A.F. conceived the project, designed the experiments, and wrote the manuscript; C.M., C.P., O.S.H.O., K.H., K.B., C.K., K.A., and S.S.K. performed the in vitro experiments; R.P.-R. assisted with the MV experiments; D.V., J.G., K.V., E.K., A.T., and D.O. performed the mouse infection experiments; S.D. and M.L.H. performed the population genetics analysis; A.W. and A.D. performed the CRISPR screening analyses; J. Bryant performed the Mtb phylogenetic analysis; and P.A.M. and R.A.F. provided supervisory support.

Declaration of Interests

The authors declare no competing interests.

Data and code availability

  • Single-cell RNA sequencing (RNA-seq) data have been deposited at GEO at GEO: GSE288494 and are publicly available as of the date of publication. CRISPR screen data have been deposited at EBI-ENA under accession number EBI-ENA: PRJEB62758.

  • CRISPR screen code has been deposited at Zenodo : https://doi.org/10.5281/zenodo.14982932.

  • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

References

  • 1.Abel L, Fellay J, Haas DW, Schurr E, Srikrishna G, Urbanowski M, Chaturvedi N, Srinivasan S, Johnson DH, Bishai WR. Genetics of human susceptibility to active and latent tuberculosis: present knowledge and future perspectives. Lancet Infect Dis. 2018;18:e64–e75. doi: 10.1016/S1473-3099(17)30623-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.World Health Organization. Global Tuberculosis Report 2021. 2021. https://www.who.int/publications/digital/global-tuberculosis-report-2021 .
  • 3.Dheda K, Gumbo T, Maartens G, Dooley KE, McNerney R, Murray M, Furin J, Nardell EA, London L, Lessem E, et al. The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis. Lancet Respir Med. 2017;5:291–360. doi: 10.1016/S2213-2600(17)30079-6. [DOI] [PubMed] [Google Scholar]
  • 4.Castro RAD, Borrell S, Gagneux S. The within-host evolution of antimicrobial resistance in Mycobacterium tuberculosis. FEMS Microbiol Rev. 2021;45:fuaa071. doi: 10.1093/femsre/fuaa071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mehta K, Spaink HP, Ottenhoff THM, van der Graaf PH, van Hasselt JGC. Host-directed therapies for tuberculosis: quantitative systems pharmacology approaches. Trends Pharmacol Sci. 2022;43:293–304. doi: 10.1016/j.tips.2021.11.016. [DOI] [PubMed] [Google Scholar]
  • 6.Simmons JD, Stein CM, Seshadri C, Campo M, Alter G, Fortune S, Schurr E, Wallis RS, Churchyard G, Mayanja-Kizza H, et al. Immunological mechanisms of human resistance to persistent Mycobacterium tuberculosis infection. Nat Rev Immunol. 2018;18:575–589. doi: 10.1038/s41577-018-0025-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kumar D, Nath L, Kamal MA, Varshney A, Jain A, Singh S, Rao KVS. Genome-wide analysis of the host intracellular network that regulates survival of Mycobacterium tuberculosis. Cell. 2010;140:731–743. doi: 10.1016/j.cell.2010.02.012. [DOI] [PubMed] [Google Scholar]
  • 8.Tobin DM, Vary JC, Ray JP, Walsh GS, Dunstan SJ, Bang ND, Hagge DA, Khadge S, King M-C, Hawn TR, et al. The lta4h locus modulates susceptibility to mycobacterial infection in zebrafish and humans. Cell. 2010;140:717–730. doi: 10.1016/j.cell.2010.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lai Y, Babunovic GH, Cui L, Dedon PC, Doench JG, Fortune SM, Lu TK. Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens. Cell Syst. 2020;11:239–251.:e7. doi: 10.1016/j.cels.2020.08.010. [DOI] [PubMed] [Google Scholar]
  • 10.EBI-GWAS catalog. https://www.ebi.ac.uk/gwas/efotraits/Orphanet_3389 .
  • 11.Ishigaki K, Akiyama M, Kanai M, Takahashi A, Kawakami E, Sugishita H, Sakaue S, Matoba N, Low S-K, Okada Y, et al. Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nat Genet. 2020;52:669–679. doi: 10.1038/s41588-020-0640-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zheng R, Li Z, He F, Liu H, Chen J, Chen J, Xie X, Zhou J, Chen H, Wu X, et al. Genome-wide association study identifies two risk loci for tuberculosis in Han Chinese. Nat Commun. 2018;9:4072. doi: 10.1038/s41467-018-06539-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mahasirimongkol S, Yanai H, Mushiroda T, Promphittayarat W, Wattanapokayakit S, Phromjai J, Yuliwulandari R, Wichukchinda N, Yowang A, Yamada N, et al. Genome-wide association studies of tuberculosis in Asians identify distinct at-risk locus for young tuberculosis. J Hum Genet. 2012;57:363–367. doi: 10.1038/jhg.2012.35. [DOI] [PubMed] [Google Scholar]
  • 14.Boisson-Dupuis S, Bustamante J, El-Baghdadi J, Camcioglu Y, Parvaneh N, El Azbaoui S, Agader A, Hassani A, El Hafidi N, Mrani NA, et al. Inherited and acquired immunodeficiencies underlying tuberculosis in childhood. Immunol Rev. 2015;264:103–120. doi: 10.1111/imr.12272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hart T, Chandrashekhar M, Aregger M, Steinhart Z, Brown KR, MacLeod G, Mis M, Zimmermann M, Fradet-Turcotte A, Sun S, et al. High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities. Cell. 2015;163:1515–1526. doi: 10.1016/j.cell.2015.11.015. [DOI] [PubMed] [Google Scholar]
  • 16.Mouton JM, Heunis T, Dippenaar A, Gallant JL, Kleynhans L, Sampson SL. Comprehensive Characterization of the Attenuated Double Auxotroph Mycobacterium tuberculosisΔleuDΔpanCD as an Alternative to H37Rv. Front Microbiol. 2019;10:1922. doi: 10.3389/fmicb.2019.01922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Michelet X, Tuli A, Gan H, Geadas C, Sharma M, Remold HG, Brenner MB. Lysosome-Mediated Plasma Membrane Repair Is Dependent on the Small GTPase Arl8b and Determines Cell Death Type in Mycobacterium tuberculosis Infection. J Immunol. 2018;200:3160–3169. doi: 10.4049/jimmunol.1700829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Holla S, Prakhar P, Singh V, Karnam A, Mukherjee T, Mahadik K, Parikh P, Singh A, Rajmani RS, Ramachandra SG, Balaji KN. MUSASHI-Mediated Expression of JMJD3, a H3K27me3 Demethylase, Is Involved in Foamy Macrophage Generation during Mycobacterial Infection. PLoS Pathog. 2016;12:e1005814. doi: 10.1371/journal.ppat.1005814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gan H, Lee J, Ren F, Chen M, Kornfeld H, Remold HG. Mycobacterium tuberculosis blocks crosslinking of annexin-1 and apoptotic envelope formation on infected macrophages to maintain virulence. Nat Immunol. 2008;9:1189–1197. doi: 10.1038/ni.1654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dey RJ, Dey B, Zheng Y, Cheung LS, Zhou J, Sayre D, Kumar P, Guo H, Lamichhane G, Sintim HO, Bishai WR. Inhibition of innate immune cytosolic surveillance by an M. tuberculosis phosphodiesterase. Nat Chem Biol. 2017;13:210–217. doi: 10.1038/nchembio.2254. [DOI] [PubMed] [Google Scholar]
  • 21.Kumar M, Majumder D, Mal S, Chakraborty S, Gupta P, Jana K, Gupta UD, Ghosh Z, Kundu M, Basu J. Activating transcription factor 3 modulates the macrophage immune response to Mycobacterium tuberculosis infection via reciprocal regulation of inflammatory genes and lipid body formation. Cell Microbiol. 2020;22:e13142. doi: 10.1111/cmi.13142. [DOI] [PubMed] [Google Scholar]
  • 22.Bai X, Kim S-H, Azam T, McGibney MT, Huang H, Dinarello CA, Chan ED. IL-32 is a host protective cytokine against Mycobacterium tuberculosis in differentiated THP-1 human macrophages. J Immunol. 2010;184:3830–3840. doi: 10.4049/jimmunol.0901913. [DOI] [PubMed] [Google Scholar]
  • 23.Ordway D, Henao-Tamayo M, Orme IM, Gonzalez-Juarrero M. Foamy macrophages within lung granulomas of mice infected with Mycobacterium tuberculosis express molecules characteristic of dendritic cells and antiapoptotic markers of the TNF receptor-associated factor family. J Immunol. 2005;175:3873–3881. doi: 10.4049/jimmunol.175.6.3873. [DOI] [PubMed] [Google Scholar]
  • 24.Roy S, Guler R, Parihar SP, Schmeier S, Kaczkowski B, Nishimura H, Shin JW, Negishi Y, Ozturk M, Hurdayal R, et al. Batf2/Irf1 induces inflammatory responses in classically activated macrophages, lipopolysaccharides, and mycobacterial infection. J Immunol. 2015;194:6035–6044. doi: 10.4049/jimmunol.1402521. [DOI] [PubMed] [Google Scholar]
  • 25.Dutta NK, Mehra S, Martinez AN, Alvarez X, Renner NA, Morici LA, Pahar B, Maclean AG, Lackner AA, Kaushal D. The stress-response factor SigH modulates the interaction between Mycobacterium tuberculosis and host phagocytes. PLoS One. 2012;7:e28958. doi: 10.1371/journal.pone.0028958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Finan C, Gaulton A, Kruger FA, Lumbers RT, Shah T, Engmann J, Galver L, Kelley R, Karlsson A, Santos R, et al. The druggable genome and support for target identification and validation in drug development. Sci Transl Med. 2017;9:eaag1166. doi: 10.1126/scitranslmed.aag1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Martínez-Espinoza I, Guerrero-Plata A. The Relevance of TLR8 in Viral Infections. Pathogens. 2022;11:134. doi: 10.3390/pathogens11020134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tang J, Zhan L, Qin C. Inhibition of TLR8 mediated signaling promotes BCG induced apoptosis in THP-1 cells. Microb Pathog. 2016;93:78–82. doi: 10.1016/j.micpath.2015.11.028. [DOI] [PubMed] [Google Scholar]
  • 29.Tang J, Sun M, Shi G, Xu Y, Han Y, Li X, Dong W, Zhan L, Qin C. Toll-Like Receptor 8 Agonist Strengthens the Protective Efficacy of ESAT-6 Immunization to Mycobacterium tuberculosis Infection. Front Immunol. 2017;8:1972. doi: 10.3389/fimmu.2017.01972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Thada S, Horvath GL, Müller MM, Dittrich N, Conrad ML, Sur S, Hussain A, Pelka K, Gaddam SL, Latz E, et al. Interaction of TLR4 and TLR8 in the Innate Immune Response against Mycobacterium Tuberculosis. Int J Mol Sci. 2021;22:1560. doi: 10.3390/ijms22041560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schiebler M, Brown K, Hegyi K, Newton SM, Renna M, Hepburn L, Klapholz C, Coulter S, Obregón-Henao A, Henao Tamayo M, et al. Functional drug screening reveals anticonvulsants as enhancers of mTOR-independent autophagic killing of Mycobacterium tuberculosis through inositol depletion. EMBO Mol Med. 2015;7:127–139. doi: 10.15252/emmm.201404137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Engel AL, Holt GE, Lu H. The pharmacokinetics of Toll-like receptor agonists and the impact on the immune system. Expert Rev Clin Pharmacol. 2011;4:275–289. doi: 10.1586/ecp.11.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bernstein DI, Harrison CJ, Tomai MA, Miller RL. Daily or weekly therapy with resiquimod (R-848) reduces genital recurrences in herpes simplex virus-infected guinea pigs during and after treatment. J Infect Dis. 2001;183:844–849. doi: 10.1086/319262. [DOI] [PubMed] [Google Scholar]
  • 34.Bernstein DI, Harrison CJ, Tepe ER, Shahwan A, Miller RL. Effect of imiquimod as an adjuvant for immunotherapy of genital HSV in guinea-pigs. Vaccine. 1995;13:72–76. doi: 10.1016/0264-410x(95)80014-5. [DOI] [PubMed] [Google Scholar]
  • 35.Vasilakos JP, Tomai MA. The use of Toll-like receptor 7/8 agonists as vaccine adjuvants. Expert Rev Vaccines. 2013;12:809–819. doi: 10.1586/14760584.2013.811208. [DOI] [PubMed] [Google Scholar]
  • 36.Schön MP, Schön M. TLR7 and TLR8 as targets in cancer therapy. Oncogene. 2008;27:190–199. doi: 10.1038/sj.onc.1210913. [DOI] [PubMed] [Google Scholar]
  • 37.Rook AH, Gelfand JM, Wysocka M, Troxel AB, Benoit B, Surber C, Elenitsas R, Buchanan MA, Leahy DS, Watanabe R, et al. Topical resiquimod can induce disease regression and enhance T-cell effector functions in cutaneous T-cell lymphoma. Blood. 2015;126:1452–1461. doi: 10.1182/blood-2015-02-630335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Killock D. Haematological cancer: Resiquimod—a topical CTCL therapy. Nat Rev Clin Oncol. 2015;12:563. doi: 10.1038/nrclinonc.2015.142. [DOI] [PubMed] [Google Scholar]
  • 39.Jurk M, Heil F, Vollmer J, Schetter C, Krieg AM, Wagner H, Lipford G, Bauer S. Human TLR7 or TLR8 independently confer responsiveness to the antiviral compound R-848. Nat Immunol. 2002;3:499. doi: 10.1038/ni0602-499. [DOI] [PubMed] [Google Scholar]
  • 40.Hornung V, Rothenfusser S, Britsch S, Krug A, Jahrsdörfer B, Giese T, Endres S, Hartmann G. Quantitative expression of toll-like receptor 1-10 mRNA in cellular subsets of human peripheral blood mono-nuclear cells and sensitivity to CpG oligodeoxynucleotides. J Immunol. 2002;168:4531–4537. doi: 10.4049/jimmunol.168.9.4531. [DOI] [PubMed] [Google Scholar]
  • 41.Davila S, Hibberd ML, Hari Dass R, Wong HEE, Sahiratmadja E, Bonnard C, Alisjahbana B, Szeszko JS, Balabanova Y, Drobniewski F, et al. Genetic association and expression studies indicate a role of toll-like receptor 8 in pulmonary tuberculosis. PLoS Genet. 2008;4:e1000218. doi: 10.1371/journal.pgen.1000218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Leifer CA, Brooks JC, Hoelzer K, Lopez J, Kennedy MN, Mazzoni A, Segal DM. Cytoplasmic targeting motifs control localization of toll-like receptor 9. J Biol Chem. 2006;281:35585–35592. doi: 10.1074/jbc.M607511200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Prados-Rosales R, Baena A, Martinez LR, Luque-Garcia J, Kalscheuer R, Veeraraghavan U, Camara C, Nosanchuk JD, Besra GS, Chen B, et al. Mycobacteria release active membrane vesicles that modulate immune responses in a TLR2-dependent manner in mice. J Clin Investig. 2011;121:1471–1483. doi: 10.1172/JCI44261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Prados-Rosales R, Weinrick BC, Piqué DG, Jacobs WR, Casadevall A, Rodriguez GM. Role for Mycobacterium tuberculosis membrane vesicles in iron acquisition. J Bacteriol. 2014;196:1250–1256. doi: 10.1128/JB.01090-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Jha V, Pal R, Kumar D, Mukhopadhyay S. ESAT-6 Protein of Mycobacterium tuberculosis Increases Holotransferrin-Mediated Iron Uptake in Macrophages by Downregulating Surface Hemochromatosis Protein HFE. J Immunol. 2020;205:3095–3106. doi: 10.4049/jimmunol.1801357. [DOI] [PubMed] [Google Scholar]
  • 46.White DW, Elliott SR, Odean E, Bemis LT, Tischler AD. Mycobacterium tuberculosis Pst/SenX3-RegX3 Regulates Membrane Vesicle Production Independently of ESX-5 Activity. mBio. 2018;9:e00778-18. doi: 10.1128/mBio.00778-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Rath P, Huang C, Wang T, Wang T, Li H, Prados-Rosales R, Elemento O, Casadevall A, Nathan CF. Genetic regulation of vesiculogenesis and immunomodulation in Mycobacterium tuberculosis. Proc Natl Acad Sci USA. 2013;110:E4790–E4797. doi: 10.1073/pnas.1320118110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sardiello M, Palmieri M, di Ronza A, Medina DL, Valenza M, Gennarino VA, Di Malta C, Donaudy F, Embrione V, Polishchuk RS, et al. A gene network regulating lysosomal biogenesis and function. Science. 2009;325:473–477. doi: 10.1126/science.1174447. [DOI] [PubMed] [Google Scholar]
  • 49.Settembre C, Di Malta C, Polito VA, Garcia Arencibia M, Vetrini F, Erdin S, Erdin SU, Huynh T, Medina D, Colella P, et al. TFEB links autophagy to lysosomal biogenesis. Science. 2011;332:1429–1433. doi: 10.1126/science.1204592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Li L, Wang ZV, Hill JA, Lin F. New autophagy reporter mice reveal dynamics of proximal tubular autophagy. J Am Soc Nephrol. 2014;25:305–315. doi: 10.1681/ASN.2013040374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Sun Q, Zhang Q, Xiao H-P, Bai C. Toll-like receptor polymorphisms and tuberculosis susceptibility: A comprehensive meta-analysis. J Huazhong Univ Sci Technol Med Sci. 2015;35:157–168. doi: 10.1007/s11596-015-1405-6. [DOI] [PubMed] [Google Scholar]
  • 52.Hipp MM, Shepherd D, Booth S, Waithe D, Reis e Sousa C, Cerundolo V. The Processed Amino-Terminal Fragment of Human TLR7 Acts as a Chaperone To Direct Human TLR7 into Endosomes. J Immunol. 2015;194:5417–5425. doi: 10.4049/jimmunol.1402703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Park J, Sharma N, Cutting GR. Melanocortin 3 Receptor Has a 5′ Exon That Directs Translation of Apically Localized Protein From the Second In-Frame ATG. Mol Endocrinol. 2014;28:1547–1557. doi: 10.1210/me.2014-1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Cervantes JL, Dunham-Ems SM, La Vake CJ, Petzke MM, Sahay B, Sellati TJ, Radolf JD, Salazar JC. Phagosomal signaling by Borrelia burgdorferi in human monocytes involves Toll-like receptor (TLR) 2 and TLR8 cooperativity and TLR8-mediated induction of IFN-beta. Proc Natl Acad Sci USA. 2011;108:3683–3688. doi: 10.1073/pnas.1013776108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Gantier MP, Irving AT, Kaparakis-Liaskos M, Xu D, Evans VA, Cameron PU, Bourne JA, Ferrero RL, John M, Behlke MA, Williams BRG. Genetic modulation of TLR8 response following bacterial phagocytosis. Hum Mutat. 2010;31:1069–1079. doi: 10.1002/humu.21321. [DOI] [PubMed] [Google Scholar]
  • 56.Cervantes JL, Weinerman B, Basole C, Salazar JC. TLR8: the forgotten relative revindicated. Cell Mol Immunol. 2012;9:434–438. doi: 10.1038/cmi.2012.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Ugolini M, Gerhard J, Burkert S, Jensen KJ, Georg P, Ebner F, Volkers SM, Thada S, Dietert K, Bauer L, et al. Recognition of microbial viability via TLR8 drives TFH cell differentiation and vaccine responses. Nat Immunol. 2018;19:386–396. doi: 10.1038/s41590-018-0068-4. [DOI] [PubMed] [Google Scholar]
  • 58.Kampmann B, Gaora PO, Snewin VA, Gares MP, Young DB, Levin M. Evaluation of human antimycobacterial immunity using recombinant reporter mycobacteria. J Infect Dis. 2000;182:895–901. doi: 10.1086/315766. [DOI] [PubMed] [Google Scholar]
  • 59.Cader MZ, Boroviak K, Zhang Q, Assadi G, Kempster SL, Sewell GW, Saveljeva S, Ashcroft JW, Clare S, Mukhopadhyay S, et al. C13orf31 (FAMIN) is a central regulator of immunometabolic function. Nat Immunol. 2016;17:1046–1056. doi: 10.1038/ni.3532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Sampson SL, Dascher CC, Sambandamurthy VK, Russell RG, Jacobs WR, Bloom BR, Hondalus MK. Protection elicited by a double leucine and pantothenate auxotroph of Mycobacterium tuberculosis in guinea pigs. Infect Immun. 2004;72:3031–3037. doi: 10.1128/IAI.72.5.3031-3037.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Hepburn L, Prajsnar TK, Klapholz C, Moreno P, Loynes CA, Ogryzko NV, Brown K, Schiebler M, Hegyi K, Antrobus R, et al. Innate immunity. A Spaetzle-like role for nerve growth factor β in vertebrate immunity to Staphylococcus aureus. Science. 2014;346:641–646. doi: 10.1126/science.1258705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Hemmi H, Kaisho T, Takeuchi O, Sato S, Sanjo H, Hoshino K, Horiuchi T, Tomizawa H, Takeda K, Akira S. Small anti-viral compounds activate immune cells via the TLR7 MyD88-dependent signaling pathway. Nat Immunol. 2002;3:196–200. doi: 10.1038/ni758. [DOI] [PubMed] [Google Scholar]
  • 63. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  • 64. https://www.bioinformatics.babraham.ac.uk/projects/trim_galore/
  • 65.Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34:525–527. doi: 10.1038/nbt.3519. [DOI] [PubMed] [Google Scholar]
  • 66. https://mycobrowser.epfl.ch/
  • 67.Jeong H-H, Kim SY, Rousseaux MWC, Zoghbi HY, Liu Z. Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives. Genome Res. 2019;29:999–1008. doi: 10.1101/gr.245571.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Supek F, Bošnjak M, Škunca N, Šmuc T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS One. 2011;6:e21800. doi: 10.1371/journal.pone.0021800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kuznetsova I, Lugmayr A, Siira SJ, Rackham O, Filipovska A. CirGO: an alternative circular way of visualising gene ontology terms. BMC Bioinf. 2019;20:84. doi: 10.1186/s12859-019-2671-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Rodchenkov I, Babur O, Luna A, Aksoy BA, Wong JV, Fong D, Franz M, Siper MC, Cheung M, Wrana M, et al. Pathway Commons 2019 Update: integration, analysis and exploration of pathway data. Nucleic Acids Res. 2020;48:D489–D497. doi: 10.1093/nar/gkz946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Cowen L, Ideker T, Raphael BJ, Sharan R. Network propagation: a universal amplifier of genetic associations. Nat Rev Genet. 2017;18:551–562. doi: 10.1038/nrg.2017.38. [DOI] [PubMed] [Google Scholar]
  • 72.Fang H, Gough J. The “dnet” approach promotes emerging research on cancer patient survival. Genome Med. 2014;6:64. doi: 10.1186/s13073-014-0064-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc. 2013;8:2281–2308. doi: 10.1038/nprot.2013.143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Sanjana NE, Shalem O, Zhang F. Improved vectors and genome-wide libraries for CRISPR screening. Nat Methods. 2014;11:783–784. doi: 10.1038/nmeth.3047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Iwai-Kanai E, Yuan H, Huang C, Sayen MR, Perry-Garza CN, Kim L, Gottlieb RA. A method to measure cardiac autophagic flux in vivo. Autophagy. 2008;4:322–329. doi: 10.4161/auto.5603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Comas I, Coscolla M, Luo T, Borrell S, Holt KE, Kato-Maeda M, Parkhill J, Malla B, Berg S, Thwaites G, et al. Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans. Nat Genet. 2013;45:1176–1182. doi: 10.1038/ng.2744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Renna M, Schaffner C, Brown K, Shang S, Tamayo MH, Hegyi K, Grimsey NJ, Cusens D, Coulter S, Cooper J, et al. Azithromycin blocks autophagy and may predispose cystic fibrosis patients to mycobacterial infection. J Clin Investig. 2011;121:3554–3563. doi: 10.1172/JCI46095. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material

Data Availability Statement

  • Single-cell RNA sequencing (RNA-seq) data have been deposited at GEO at GEO: GSE288494 and are publicly available as of the date of publication. CRISPR screen data have been deposited at EBI-ENA under accession number EBI-ENA: PRJEB62758.

  • CRISPR screen code has been deposited at Zenodo : https://doi.org/10.5281/zenodo.14982932.

  • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

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