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. 2021 Jan 4;19(1):e3001029. doi: 10.1371/journal.pbio.3001029

Cyclin-dependent Kinase 1 and Aurora Kinase choreograph mitotic storage and redistribution of a growth factor receptor

Christina D Cota 1, Matthew S Dreier 2, William Colgan 3, Anna Cha 4, Twan Sia 5, Brad Davidson 5,*
Editor: Sophie G Martin6
PMCID: PMC7808676  PMID: 33395410

Abstract

Endosomal trafficking of receptors and associated proteins plays a critical role in signal processing. Until recently, it was thought that trafficking was shut down during cell division. Thus, remarkably, the regulation of trafficking during division remains poorly characterized. Here we delineate the role of mitotic kinases in receptor trafficking during asymmetric division. Targeted perturbations reveal that Cyclin-dependent Kinase 1 (CDK1) and Aurora Kinase promote storage of Fibroblast Growth Factor Receptors (FGFRs) by suppressing endosomal degradation and recycling pathways. As cells progress through metaphase, loss of CDK1 activity permits differential degradation and targeted recycling of stored receptors, leading to asymmetric induction. Mitotic receptor storage, as delineated in this study, may facilitate rapid reestablishment of signaling competence in nascent daughter cells. However, mutations that limit or enhance the release of stored signaling components could alter daughter cell fate or behavior thereby promoting oncogenesis.


This study provides fundamental insights into the crosstalk between cell division and signaling, with implications for cancer. High-resolution in vivo analysis reveals that dividing cells sequester signal receptor proteins into internal compartments; stored receptors are then redistributed as cells complete division.

Introduction

Dividing cells undergo dynamic shifts in membrane trafficking. During mitotic entry, internalization of plasma membrane promotes cell rounding [1]. As cells exit mitosis, targeted recycling promotes formation of the cytokinetic furrow [2,3]. Membrane and associated integral membrane proteins are trafficked through a well-delineated system of endosomal compartments [1,4]. In this endosomal trafficking network, Rab GTPases dictate compartment-specific functions (Fig 1A). Newly endocytosed vesicles fuse to form early endosomes distinguished by RAB4 and RAB5. These early endosomes can either recycle back to the plasma membrane through RAB4-dependent fast recycling or mature into late endosomes through a RAB7-dependent pathway. Recycling can also occur through a slow, RAB11-dependent pathway. Late endosomes eventually fuse with lysosomes leading to degradation of integral membrane proteins and other cargo [5]. Recent studies have provided some insights into trafficking during mitotic exit, including a key role for RAB11-dependent effectors during assembly of the cytokinetic furrow [3,68]. However, trafficking during mitotic entry remains poorly characterized. Bulk internalization during entry appears to be mediated by suppression of recycling rather than an increase in endocytosis, but the specific endocytic pathways involved in entry trafficking have not been identified [1].

Fig 1. Mitotic trafficking of FGF receptors during founder cell division.

Fig 1

(A) Models depicting differential FGFR (green) redistribution during asymmetric founder cell division based on previous data (left panel) [20,41] along with a summary of endosomal pathways (right panel). For simplicity, schematics depict lateral views of a single founder cell. Regions of actin enrichment (purple; [40].) and adherent membrane (yellow, [41]) are indicated. (B-B”) Transverse sections and graphical summary depicting 3D-volumetric analysis of FGFR::VENUS distribution (quantified as regional enrichment; Methods) in a representative mitotic founder cell. Lines indicate region boundaries (white). Scale bars are indicated in micrometers. (C-D) Diagrammatic and graphical summaries of regional FGFR::VENUS enrichment (green) during founder cell division. Some regions are labeled with an a or b to denote that significant changes (p < 0.05) occurred within this region across cell cycle stages. Other regions are labeled n.s. to denote that no significant changes occurred for the indicated stages. Sample numbers for each stage are as follows: premitotic n = 50, prophase n = 36, metaphase n = 17, anaphase n = 24, and post-mitotic n = 34. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S1 Data. ATM, Anterior Tail Muscle Cell; FGFR, Fibroblast Growth Factor Receptor; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

Recent studies have begun to reveal essential roles for mitotic membrane trafficking in tissue homeostasis and embryonic patterning. In the mammalian epidermis, symmetrically dividing cells internalize Ceslr1 (Cadherin EGF LAG seven-pass G-type receptor 1) and other membrane proteins involved in planar cell polarization. Unbiased redistribution of these internalized proteins during mitotic exit appears to be critical for reintegration of dividing cells into the epithelium [9]. In the developing wing of Drosophila embryos, unbiased redistribution of transforming growth factor beta (TGF-β) receptors internalized during mitotic entry ensures proper patterning [10]. In a range of asymmetrically dividing embryonic and stem cell lineages, integral membrane proteins involved in Notch signaling are internalized during mitosis [1113]. Biased redistribution of these signaling components during mitotic exit underlies asymmetric fate specification. Despite the importance of mitotic trafficking in embryonic patterning and tissue integrity, insights into the regulatory hierarchy choreographing the uptake and redistribution of signaling components remain extremely limited.

Mitosis is choreographed by 3 major classes of mitotic kinases, CDK1, Aurora Kinases (AurKs), and Polo-like Kinases (PLKs) [14]. During mitotic entry, these kinases regulate a diverse set of cellular processes required for spindle assembly, centrosome dynamics, chromatid separation, and cytokinesis. As cells progress through metaphase, Cyclin B is degraded, and the resulting loss of CDK1 activity is critical for promoting exit-specific cellular processes. Remarkably, due in part to the long-standing assumption that trafficking was shut down during mitosis [2,3,1517], very few studies have addressed the regulatory roles of these kinases in mitotic trafficking. Exceptions include research on the mammalian epidermis demonstrating that PLK1-dependent phosphorylation of the planar cell polarity protein Celsr1 mediates mitotic internalization [18]. In yeast, PLK1 has also been reported to phosphorylate ESCRT (endosomal sorting complexes required for transport) proteins required for septation [19]. Poor characterization of the regulatory links between mitotic kinases and division-specific trafficking patterns represents a fundamental gap in our understanding of the interplay between cell division and signaling.

We have begun to address this gap by studying cranial-cardiac progenitor specification in the invertebrate chordate, Ciona intestinalis (Type A, also referred to as Ciona robusta). In Ciona embryos, the heart is derived from a set of 4 precardiac founder cells. Each founder cell divides asymmetrically to produce 1 cranial-cardiac progenitor (or trunk ventral cell, TVC) and 1 tail muscle progenitor (Fig 1A; [20,21]). Fibroblast Growth Factor (FGF) receptors are unequally distributed during founder cell division [20]. Immediately following division, differential inheritance of FGF receptors generates asymmetric FGF-dependent induction of cranial-cardiac progenitor cell fate [2123]. Localized cell–matrix adhesion biases mitotic FGFR redistribution through localized retention and/or recycling of Caveolin-rich membrane domains and associated FGF receptors [20]. By characterizing the regulation of mitotic FGFR redistribution in Ciona founder cells, we aim to reveal more general mechanisms for mitotic trafficking and explore how these mechanisms are biased during asymmetric divisions.

Results

FGF receptor distribution patterns during founder cell mitosis

We precisely quantified mitotic FGFR redistribution through volumetric analysis (Fig 1). These assays were conducted using Mesp>FGFR::Venus transgenic embryos [21]. Because the Mesp enhancer specifically drives transgene expression in the heart founder cell lineage, we are able to analyze FGFR::VENUS distribution in vivo [20]. Thus, transverse sections (such as Fig 1B) represent confocal stacks of mitotic founder cells that were dividing within intact embryos (as illustrated in Fig 1A). Distribution patterns of transgenically expressed FGFR::VENUS were assessed in 3 concentric regions (plasma membrane, peripheral cytoplasm, and deep cytoplasm, Fig 1B–1B”; Methods). FGFR::VENUS expression in founder cells is very low, precluding live imaging analysis (see Fig 3I”). Instead, transgenic Mesp>FGFR::Venus embryos were fixed at 15-min intervals spanning founder cell mitosis and costained with an anti-green fluorescent protein (GFP) antibody to visualize FGFR::VENUS and a chromatin marker (DRAQ5) to facilitate precise mitotic staging [20,22]. Volumetric analysis provided a rigorous and highly reproducible measurement of FGFR::VENUS distribution at each cell cycle stage that is not well represented by individual transverse sections. Thus, in this and subsequent figures, we focus on providing a complete set of graphical data (Fig 1C and 1D) rather than representative confocal sections for each stage (Fig 1B). Through this analysis, we identified 3 significant, stage-specific shifts in FGFR distribution (Fig 1C and 1D). As founder cells entered prophase, FGFR enrichment along the plasma membrane was dramatically reduced. As cells progressed into metaphase, FGFR enrichment shifted from the peripheral to the deep cytoplasm. Thus, during mitotic entry, FGFR-enriched membranes were gradually internalized. During mitotic exit, this trend was reversed as FGFR enrichment shifted from the deep cytoplasm to the plasma membrane-associated region. Our quantitative analysis demonstrates that FGFR distribution tightly correlates with mitotic progression. Critically, these mitotic patterns of FGFR distribution are highly reproducible within stage-matched cells providing a robust framework for further experimental analysis.

Fig 3. CDK1 inhibits lysosomal degradation of FGFR.

Fig 3

(A-D’) Ventral projections of founder cell pairs electroporated with Mesp>FGFR::Venus alone or in combination with Mesp>HALO::Vam2421-841 as indicated and treated with vehicle (DMSO), Roscovitine (14 μmol/L) or VX-680 (21 μmol/L). In this experiment, Mesp>CLIP::Rab7 was included as a positive control for transfection. (E) Qualitative scoring of FGFR::VENUS intensity in transfected founder cell pairs. Significance was determined using Fisher exact test followed by Pearson chi-squared test. n = number of founder cell pairs scored. Treatment with AMG-900 (10 μmol/L) also had no significant impact on FGFR::VENUS intensity. Indeed, there was a nonsignificant increase in the number of cell pairs displaying strong FGFR::VENUS signal in the treated samples—45.8% ± 4.17 of AMG-900-treated cell pairs (n = 21) versus 34.5% ± 1.04 of DMSO-treated cell pairs (n = 42), p = 0.523. (F-G’) Ventral projections of founder cell pairs electroporated with Mesp>E-Cadherin::GFP and treated with vehicle (DMSO), or roscovitine (14 μmol/L). Mesp>CLIP::Rab7 was included as a positive control for transfection. (H) Qualitative scoring of E-CADHERIN::GFP intensity in transfected founder cell pairs. No significant differences found between treatments indicated. Significance was determined using Fisher exact test followed by Pearson chi-squared test. n = number of founder cell pairs scored. (I-I’) Ventral projection of FGFR::VENUS distribution in transgenic representative live founder cell pairs coelectroporated with Mesp>FGFR::Venus and Mesp>CyclinBΔ90 (I) or a control coelectroporated with Mesp>FGFR::Venus and Mesp>H2B::RFP (I’). Note that GFP/YFP signal in the heart founder lineage in the control (outlined by a white dashed line) are not above background levels. This image is representative of numerous observations of Mesp>FGFR::Venus in live embryos in which it is impossible to discern any signal leading to the standard use of antibody staining in fixed samples to assay FGFR localization. (J) Model depicting proposed CDK1-dependent inhibition of FGFR::VENUS degradation. (K) Quantification of FGFR::VENUS polarization in founder cells electroporated and treated as indicated. n = number of founder cells analyzed. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S3 Data. Scale bars are indicated in micrometers. See also S3 Fig. CDK1, Cyclin-dependent Kinase 1; FGFR, Fibroblast Growth Factor Receptor; GFP, green fluorescent protein; YFP, yellow fluorescent protein.

In order to determine whether FGFR redistribution is a mitotically regulated process, we blocked founder cell division through targeted overexpression of a Ciona ortholog to Cyclin-dependent Kinase Inhibitor/p27 (Mesp>Cdki-b/p27; [23,24]). Founder cells expressing CDKI-b and FGFR::VENUS were fixed approximately 1 hour after control cells complete asymmetric division (Hotta Stage 16; [22]). CDKI-b expression induced interphase arrest and blocked FGFR internalization (S1 Fig). Indeed, the FGFR distribution pattern in CDKI-b–expressing founder cells at Stage 16 closely matched that of premitotic controls (Hotta Stage 14; S1 Fig). Notably, arrested founder cells tended to undergo cranial-cardiac cell fate induction, indicating that mitotic internalization is not required for inductive signaling (S1 Fig). These results indicate that temporal correlations between FGFR distribution patterns and mitotic stage reflect a functional, regulatory relationship.

Endosomal pathways involved in mitotic redistribution of FGFR

We next began to investigate the endosomal pathways associated with each stage-specific shift in FGFR distribution (Fig 2). Each shift correlated with discrete changes in colocalization between labeled FGFR (FGFR::VENUS) and markers of late endosomes (CLIP::RAB7, Fig 2A–2E”’) or slow recycling endosomes (CLIP::RAB11, Fig 2D and 2F–2F”’). In contrast, no significant changes were observed in colocalization with a marker of fast recycling endosomes (CLIP::RAB4; Fig 2D, S2 Fig). During prophase, whole cell colocalization between labeled FGFR and RAB11 increased (Fig 2D and 2F). As cells entered metaphase, whole cell and deep cytoplasmic FGFR/RAB7 colocalization increased (Fig 2A, 2B’, 2D and 2E). During this phase, FGFR/RAB11 whole cell colocalization remained stable (Fig 2F), but there was a significant increase in deep cytoplasmic enrichment (Fig 2D and 2F”’). This regional shift in RAB11 colocalization may reflect trafficking of existing FGFR-containing recycling endosomes toward the spindle poles [23]. During anaphase, whole cell and deep cytoplasmic FGFR/RAB7 colocalization decreased, while whole cell and peripheral FGFR/RAB11 colocalization increased (Fig 2A–2F”’). As cells exited division, whole cell and peripheral FGFR/RAB11 colocalization decreased (Fig 2D and 2F–2F”). Taken together, our colocalization data support a 3-part model for mitotic FGFR trafficking (Fig 2G). FGF receptors are first internalized and stored in slow recycling endosomes during prophase. During metaphase, stored receptors are either retained in slow recycling endosomes or shunted to a maturation pathway. During mitotic exit, receptors stored in slow recycling endosomes are returned to the plasma membrane, while receptors stored in late endosomes are either recycled or degraded.

Fig 2. Mitotic FGFR trafficking during founder cell division.

Fig 2

(A-C’) Masked/thresholded transverse sections and graphical summary depicting 3D-volumetric analysis of FGFR::VENUS/CLIP::RAB-GTPase colocalization (Manders’ overlap; MOC) in representative mitotic founder cells. Lines indicate region boundaries (white). Scale bars are indicated in micrometers. (D) Graphical summary of regional FGFR::VENUS enrichment (green) and FGFR::VENUS/ CLIP::RAB-GTPase colocalization (CLIP::RAB4, purple; CLIP::RAB7, orange; CLIP::RAB11, blue) during founder cell division. Some regions are labeled with an a or b to denote that significant changes (p < 0.05) occurred within this region across stages. Other regions are labeled n.s. to denote that no significant changes occurred for the indicated stages. (E-F’) Quantification of total (whole cell; E and F) and regional (E’-E”’, F’-F”’) FGFR::VENUS/ CLIP::RAB-GTPase colocalization during founder cell division showing significant changes in RAB7 and RAB11 values. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S2 Data. (G) Model of mitotic FGFR trafficking illustrating stage-specific shifts as indicated. See also S2 Fig. FGFR, Fibroblast Growth Factor Receptor; MOC, Manders’ overlap coefficient.

CDK1 suppresses FGFR degradation during mitotic entry

We next sought to investigate the role of the primary mitotic entry kinase, CDK1, in FGFR trafficking (Fig 3). By treating late gastrulae (Hotta Stage 14) with a fast-acting CDK1 inhibitor (roscovitine/seliciclib), we were able to block CDK1 activity in mitotic founder cells. Through DRAQ5 staining, we were able to identify treated founder cells displaying chromatin condensation, indicating that they had been arrested in prophase. We began investigating the impact of this treatment on FGFR trafficking using transgenic Mesp>FGFR::Venus, Mesp>CLIP::Rab7 embryos. Intriguingly, arrested founder cells displayed a dramatic decrease in FGFR::VENUS staining (Fig 3A, 3B’ and 3E). To investigate whether the observed reduction in FGFR::VENUS was a nonspecific result of mitotic arrest, we treated founder cells with AurK inhibitors (Aurora A/B inhibitor: VX-680 or Pan-Aurora Kinase inhibitor: AMG-900). Because these drugs act relatively slowly, we treated embryos just prior to founder cell division (Hotta Stage 13). Treatment with either inhibitor at this stage resulted in prophase arrest, but there was no discernable reduction in FGFR::VENUS staining (VX680, Fig 3C–3C’). We used the same assay to examine the impact of roscovitine treatment on another integral membrane protein, E-CADHERIN::GFP (Mesp>E-Cadherin::GFP; Fig 3F–3H). In contrast with the FGFR::VENUS results, roscovitine treatment had no discernable impact on E-CADHERIN::GFP staining. Thus, it appears that CDK1 stabilizes a subset of membrane proteins during mitotic entry rather than having a global, nonspecific impact.

Based on these results, we hypothesized that CDK1 activity promotes FGFR storage by suppressing lysosomal degradation. To test this hypothesis, we inhibited lysosomal degradation in founder cells through targeted expression of a dominant-negative form of the homotypic fusion and protein sorting (HOPS) complex subunit VAM2 (Mesp>HALO::Vam2421-841; [24]). As predicted by our hypothesis, Vam2421-841 expression restored FGFR::VENUS staining in roscovitine-treated samples (Fig 3D–3D’ and 3E). We also tested this hypothesis through a gain of function assay involving targeted expression of truncated Cyclin B (Mesp>Cyclin BΔ90). Because CYCLIN BΔ90 cannot be targeted for degradation by the anaphase-promoting complex, expression of this protein leads to sustained CDK1 activity and inhibits mitotic exit [25]. Despite high levels of transgene expression, observation of FGFR::VENUS in wild-type founder cells requires antibody staining, presumably due to low abundance of the fusion protein [20]. Expression of Cyclin BΔ90 led to a dramatic increase in FGFR::VENUS signal, allowing direct observation of FGFR::VENUS in live, unstained embryos (Fig 3I). As seen previously, no FGFR::VENUS signal was detected in live, matched controls (Fig 3I’). Taken together, these results indicate that CDK1 activity suppresses lysosomal FGFR degradation during mitotic entry (Fig 3J). We also treated embryos with roscovitine during interphase. As predicted by our model, this treatment had no discernable impact on FGFR::VENUS staining. Interestingly, Vam2421-841 expression disrupted ventral FGFR::VENUS enrichment (Fig 3K). This result suggests that lysosomal degradation contributes to the biased redistribution of internalized FGFRs during asymmetric founder cell division.

CDK1-dependent phosphorylation of RAB4 suppresses FGFR recycling

We next investigated whether CDK1 regulates other aspects of FGFR trafficking. The recovery of FGFR::VENUS staining in transgenic HALO:Vam2421-841 embryos allowed us to perform endocytic pathway colocalization analysis in roscovitine-treated cells. While roscovitine treatment had no discernable impact on regional FGFR::VENUS/CLIP::RAB11 colocalization (S3 Fig), we did observe a significant decrease in FGFR::VENUS/CLIP::RAB4 colocalization in peripheral cytoplasm and plasma membrane-associated regions (Fig 4A–4C, S3 Fig). This result suggests that CDK1 activity disrupts the delivery of FGFR-enriched fast recycling endosomes to the plasma membrane along with the shedding of Rab4 which occurs during this process (Fig 4D, [26]). As predicted by this hypothesis, sustained CDK1 activity resulting from transgenic expression of Cyclin BΔ90 dramatically reduced FGFR::VENUS enrichment along the plasma membrane and promoted robust enrichment of this protein at the spindle poles (S4 Fig). This hypothesis was also supported by a robust increase in the plasma membrane-associated enrichment of FGFR::VENUS in HALO::Vam2421-841 cells treated with roscovitine in comparison to DMSO controls (S5 Fig). These results indicate that CDK1 suppresses the RAB4-dependent fast recycling pathway and thereby promotes accumulation of internalized FGF receptors (Fig 4D). This model aligns with previous studies indicating that bulk internalization of the plasma membrane during mitotic entry involves decreased recycling rates while internalization rates remain constant [1,27].

Fig 4. CDK1 inhibits RAB4-dependent fast recycling of FGFR during mitotic entry.

Fig 4

(A-B’) Masked/thresholded transverse sections of founder cells electroporated with Mesp>FGFR::Venus alone or in combination with Mesp>HALO::Vam2421-841 and treated with vehicle (DMSO) or Roscovitine (14 μmol/L) as indicated. For clarity, images showing only the colocalized FGFR::VENUS/ CLIP::RAB-GTPase puncta in representative sections are provided (OVERLAP; Manders’ overlap; MOC) (A’ and B’). (C) Quantification of regional FGFR::VENUS/CLIP::RAB4 colocalization for founder cells electroporated and treated as indicated. (D) Model depicting proposed CDK1-dependent regulation of FGFR::VENUS trafficking. (E) Schematic depiction of C. robusta RAB4 protein. ClustalW alignment shows conservation of previously reported CDK1 phosphorylation motif (bold; [27]). Red asterisk indicates the serine residue phosphorylated by CDK1 in human cells. Putative phosphorylated serine residues in orthologs are indicated (S, red). (F-G) Lateral sections of prophase founder cells electroporated with either Mesp>FGFR::Venus along with either Mesp>HALO::Rab4 or Mesp>HALO::Rab4S199A as indicated. (H) Quantification of regional FGFR::VENUS enrichment in prophase founder cells electroporated as indicated. n = number of founder cells analyzed. (I-J) Lateral sections of anaphase founder cells electroporated with either Mesp>FGFR::Venus along with either Mesp>HALO::Rab4 or Mesp>HALO::Rab4S199D/T200D as indicated. (K) Quantification of regional FGFR::VENUS enrichment in anaphase founder cells electroporated as indicated. n = number of founder cells analyzed. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test (C, H, K). Numerical values for all graphs can be found in S4 Data. Dashed lines indicate cell membranes that were delineated by phalloidin staining (F-G and I-J; red). White arrowheads (F-G and I-J) indicate dorsal boundaries of membrane-associated FGFR::VENUS puncta. Scale bars are indicated in micrometers. See also S4 Fig, S5 Fig and S6 Fig. CDK1, Cyclin-dependent Kinase 1; FGFR, Fibroblast Growth Factor Receptor; MOC, Manders’ overlap coefficient.

We next began to examine the molecular mechanism by which CDK1 impacts the fast recycling pathway. In mammalian cells, CDK1-dependent phosphorylation of RAB4 leads to dissociation of RAB4 from endosomal membranes [28]. However, the impact of this phosphorylation event on mitotic receptor trafficking has not been previously examined. We hypothesized that CDK1-dependent RAB4 phosphorylation suppresses recycling (Fig 4D). The previously reported CDK1 phosphorylation site in RAB4 is highly conserved across vertebrate and invertebrate chordate taxa (Fig 4E). Thus, we were able to test this hypothesis through targeted expression of phospho-deficient forms of Ciona RAB4 in which the putative CDK1 phosphorylation site has been mutated (Mesp>HALO::Rab4S199A). As predicted by our hypothesis, founder cell-specific expression of phospho-deficient Rab4 (Mesp>HALO::Rab4S199A) led to increased enrichment of FGFR::VENUS along the plasma membrane during prophase (Fig 4F–4H). We also observed a complementary reduction in FGFR::VENUS enrichment in the peripheral cytoplasm. To determine whether CDK1-dependent phosphorylation was sufficient to inhibit RAB4-dependent recycling of FGF receptors, we generated a phospho-mimetic RAB4 (Mesp>HALO::Rab4S199D/T200D). As predicted by our hypothesis, Mesp>HALO::RAB4S199D/T200D appeared to block recycling during mitotic exit, leading to the accumulation of large FGFR-containing puncta in the deep cytoplasm during anaphase (Fig 4I–4K). Quantitative analysis revealed a significant increase in FGFR::VENUS enrichment in the peripheral cytoplasm complemented by significantly reduced enrichment at the plasma membrane. To explore the impact of CDK1-dependent regulation of RAB4 on FGF-dependent induction of the cranio-cardiac progenitor lineage, we coelectroporated embryos with Mesp>Ensc::GFP to label all founder lineage cells, FoxF>RFP to label cranio-cardiac progenitors along with either phospho-deficient Mesp>HALO::RAB4S199A/T200A, phospho-mimetic Mesp>HALO::RAB4S199D/T200D, or a control construct (Mesp>LacZ or Mesp>HALO::RAB4). As predicted by our model, expression of phospho-deficient RAB4 resulted in a significant increase in cranial-cardiac progenitor induction, while expression of phospho-mimetic RAB4 resulted in a significant decrease in cranial-cardiac progenitor induction (S6 Fig). Taken together, these results indicate that the previously characterized CDK1-dependent phosphorylation of RAB4 serves to inhibit receptor recycling during mitotic entry (Fig 4D). Additionally, these results indicate that CDK1-mediated inhibition of receptor recycling can modulate subsequent cell fate decisions.

Aurora Kinase suppresses slow recycling of FGFR containing endosomes

We next examined the role of AurK in mitotic FGFR trafficking. The Ciona genome contains a single ortholog for AurK (Aurora A/B; [29]). As mentioned previously, treatment with AurK inhibitors (VX-680 and AMG-900) did not reduce FGFR::VENUS staining (Fig 3C and 3C’). Instead we observed that inhibitor treatment led to a dramatic and significant increase in FGFR::VENUS enrichment in the plasma membrane-associated region (Fig 5A–5C, S7 Fig). Based on this result, we hypothesized that AurK blocks delivery of FGFR from RAB11 slow recycling endosomes to the plasma membrane during mitotic entry, complementing inhibition of the RAB4-dependent fast recycling pathway by CDK1. In line with this hypothesis, we found that inhibitor treatment also significantly decreased FGFR::VENUS/CLIP::RAB11 whole cell colocalization in prophase arrested cells (Fig 5D–5I’, S7 Fig). In contrast, these inhibitors had no discernable impact on FGFR::VENUS/CLIP::RAB4 colocalization (S7 Fig) and had variable and contradictory impacts on FGFR/RAB7 colocalization (S7 Fig). Our results indicate that CDK1 and AurK work in tandem to promote storage of internalized FGF receptors during mitotic entry, suppressing both fast and slow recycling pathways (Fig 5K).

Fig 5. AurK promotes endosomal maturation and inhibits slow recycling of FGFR during mitotic entry.

Fig 5

(A-C) Lateral sections, graphical summary, and quantitative analysis of regional FGFR::VENUS enrichment for founder cells electroporated with Mesp>FGFR::Venus and treated with vehicle (DMSO) or VX-680 (21 μmol/L) as indicated. n = number of founder cells analyzed. (D-E) Masked/thresholded transverse sections of founder cells electroporated with Mesp>FGFR::Venus and Mesp>HALO::RAB11. For clarity, images showing only colocalized FGFR::VENUS/ CLIP::RAB-GTPase puncta in representative sections are provided (OVERLAP; Manders’ overlap; MOC) (D’ and E’). (F) Graphical summary of total (whole cell) or regional FGFR::VENUS/CLIP::RAB11 colocalization (Manders’ overlap). (G-H) Masked/thresholded transverse sections of founder cells electroporated with Mesp>FGFR::Venus and Mesp>HALO::RAB7. For clarity, images showing only colocalized FGFR::VENUS/ CLIP::RAB-GTPase puncta in representative sections are provided (MOC for panel H’ = 0.119±0.027) (G’ and H’). (I) Graphical summary of total (whole cell) or regional FGFR::VENUS/CLIP::RAB7 colocalization (Manders’ overlap). (J) Quantification of FGFR::VENUS ventral/dorsal polarization in founder cells treated with vehicle (DMSO) or VX-680 (21 μmol/L) as indicated. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test (C, F, I, J). Numerical values for all graphs can be found in S5 Data. (K) Proposed model of CDK1 and AurK-dependent regulation of mitotic FGFR::VENUS trafficking during mitotic entry. In all micrographs, red dashed lines indicate cell membranes as delineated by phalloidin staining. Scale bars are indicated in micrometers. White arrowheads (A-B) indicate dorsal boundaries of membrane-associated FGFR::VENUS puncta. See also S7 Fig. AurK, Aurora Kinase; CDK1, Cyclin-dependent Kinase 1; FGFR, Fibroblast Growth Factor Receptor; MOC, Manders’ overlap coefficient.

Discussion

Based on our data, we propose a new model for mitotic regulation of FGFR trafficking (Fig 6). According to our model, CDK1 and AurK synergize to promote FGFR storage during mitotic entry. We propose that mitotic receptor storage generates 2 functionally discrete pools. One pool consists of FGF receptor-enriched vesicles shunted into either fast or slow recycling pathways. CDK1 and AurK maintain this pool by suppressing recycling pathways. The second pool consists of FGFR-enriched vesicles that have been shunted into the maturation pathway. CDK1 maintains this pool by suppressing degradation. As cells exit division, the associated inactivation of CDK1 releases both pools of accumulated receptors. Reinitiation of fast recycling restores receptor enrichment on the plasma membrane. Reinitiation of degradation may bias this process, leading to nonuniform receptor redistribution. In Ciona founder cells, it appears that matrix adhesion polarizes FGFR trafficking during mitosis, leading to elevated receptor accumulation on the nascent heart progenitor membrane and differential induction (Fig 1A, [20]). Our current model posits that integrin-dependent enrichment of caveolin within adhesive membranes dictates polarized FGFR trafficking [20]. Current studies are focused on determining the specific contributions of integrin and caveolin to this process. We are also investigating whether adhesion suppresses FGFR degradation or promotes FGFR recycling, thereby biasing the redistribution of “stored” FGFR during mitotic exit (Fig 6). Previous studies suggest that PLK1-mediated activation of slow recycling may also contribute to receptor recycling and/or receptor redistribution [18,19]. We are currently exploring whether this conserved role for PLK1 overcomes AurK-dependent suppression of slow recycling (Fig 2D and 2F’) to promote delivery of FGF receptors from the RAB11 recycling compartment to the plasma membrane as illustrated in our model (Fig 6).

Fig 6. Model for mitotic regulation of FGFR trafficking.

Fig 6

Diagrams illustrating hypothesized kinase-dependent shifts in trafficking and their impact on FGFR storage and redistribution during founder cell division. FGFR, Fibroblast Growth Factor Receptor.

Our data also suggest that the previously characterized CDK1-dependent phosphorylation of RAB4 [28] directly suppresses RAB4-mediated recycling during mitotic entry (Fig 4E–4K). This regulatory relationship appears to be broadly conserved as indicted by sequence conservation of the CDK1 phosphorylation site across a wide range of vertebrate Rab4a genes, along with orthologous genes from a variety of tunicates (including Ciona, Fig 4E) amphioxus, echinoderms, mollusks, cnidarians, and even potentially in slime molds. Interestingly, this phosphorylation site does not appear to be conserved in vertebrate Rab4b genes, although they do contain a potential alternate CDK1 phosphorylation site. We also hypothesize that CDK1-dependent suppression of fast recycling may be a general feature of mitotic entry deployed in a wide variety of cell types to reduce membrane surface area during mitotic rounding which leads, incidentally, to storage and sequestration of associated membrane proteins. Indeed, this hypothesis aligns with previous data showing that reduced recycling rates during mitotic entry are required for mitotic cell rounding [1]. Intriguingly, the CDK1 phosphorylation motif in Rab4 (SPKK; Fig 4E) is a hotspot for cancer-associated mutations (https://www.cbioportal.org; [30,31]). Future work will investigate whether these specific mutations impact receptor trafficking in dividing cells. We are also currently exploring whether other key regulatory nodes in our model involve direct interactions between the mitotic kinases and Rab GTPases or if they involve a more complex regulatory circuit. For instance, AurK may suppress slow recycling through direct phosphorylation of—Rab11, Rab 11 effectors such as FIPs, Myosin VB, the kinesin Kif13A, or the exocyst subunit EXOC6 [4,32]. Alternatively, AurK may directly disrupt downstream factors associated with delivery of slow recycling endosomes to the plasma membrane including Arf6 and its effectors [33]. It is also possible that AurK suppresses slow recycling through an indirect mechanism similar to documented cascades involved in AurK-dependent regulation of cytokinesis [34,35]. Additionally, our data indicate that CDK1 specifically suppresses degradation for a subset of membrane proteins, including FGFR, rather than uniformly influencing the degradation pathway (Fig 3F–3H). We are currently investigating the range of receptors subjected to the mitotic trafficking pathways we have identified and the molecular basis for this selectivity.

Mitotic receptor storage, as delineated in this study, poses a number of potential benefits and risks. Suppression of lysosomal degradation may facilitate retention of signaling components allowing daughter cells to rapidly reacquire signaling competence. In asymmetrically dividing cells, stored receptors can be rapidly redistributed in response to polarized intrinsic or extrinsic cues generating robust asymmetry in nascent daughter cells. Furthermore, mitotic internalization may serve to sequester receptors during the dynamic process of cell division and prevent spurious signaling. Cell rounding during mitotic entry entails extensive remodeling of the cell membrane and actin cortex along with disassembly of cell–cell and cell–matrix adhesions [36]. Thus, signal modulation provided by membrane microdomains [37,38] or by extensive cross-talk between adhesion and signaling complexes [39] are compromised in dividing cells. Moreover, alterations in cell composition and morphology associated with tissue growth and repair can dramatically alter the signaling environment of dividing cells exacerbating the potential for signal misinterpretation. Thus, sequestration of growth factor receptors during division may play a key role in the suppression of unintended signaling and associated oncogenic behaviors. Conversely, mutations that lead to precocious release of stored receptors could reverse this sequestration and promote oncogenesis.

Methods

Contact for reagent and resource sharing

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Brad Davidson (bdavids1@swarthmore.edu).

Experimental model and subject details

Ciona intestinalis adults were collected and supplied by M-Rep (Carlsbad, California, United States of America) and maintained in the laboratory at 16 to 18 °C under constant illumination. Fertilization, dechorionation, and electroporation were carried out as previously described [40]. Embryos were staged according to [22].

Method details

See S1 Table for a list of key Reagents/Resources used to generate the data presented in this study.

Molecular cloning

The Ci-Mesp and FoxF enhancers were described previously [39,21]. Mesp>LacZ, Mesp>FGFR::Venus, and Mesp>E-Cadherin::GFP were previously described [20,21,41]. The CLIP and HALO open reading frames (ORFs) were PCR amplified from CLIP-rGBD Rho and HALO-rGBD Rho plasmids generously provided by William M. Bement using the primers: F ClipSnapNot/R HaloCLIP Bam and inserted downstream of the Mesp enhancer using NotI and BlpI. To make Mesp>Cyclin BΔ90, we PCR amplified Ciona Cyclin B from cDNA clone VES88_L15 using primers CyBDN Not1F and CyBDN EcoR1R to remove the sequence encoding the destruction box [25]. This fragment was swapped in place of LacZ in the Mesp>LacZ plasmid using the NotI and EcoRI sites. Ciona Rab4, Rab7, and Rab11 were PCR amplified using the following primer sets: Rab4_BamHI_F/ Rab4_BlpI_R, Rab7_BamHI_F/ Rab7_BlpI_R, and Rab11_BamHI_F/ Rab11_BlpI_R, from full ORF unigene collection (Cogenics) clones and inserted in frame using the BamHI and BlpI sites. The existing BlpI site was removed from Rab7 prior to amplification by site directed mutagenesis using Rab7noBlp_F/ Rab7noBlp_R primer set. Mesp>HALO::Rab4S199A/T200A, Mesp>HALO::Rab4S199A, and Mesp>HALO::Rab4S199D/T200D were generated by site-directed mutagenesis of the Mesp>HALO::Rab4 expression plasmid using following primer sets: Rab4ST_AA_F/Rab4ST_AA_R, Rab4S_A_F/Rab4S_A_R, and Rab4ST_DD_F/Rab4ST_DD_R. To make Mesp>HALO::Vam2421-841, the region of Ciona Vam2 corresponding to amino acids 421–841 was PCR amplified from a unigene collection clone using the following primers: VAM2_Forward/VAM2_Reverse and inserted downstream of HALO using the BamHI and BlpI sites. To make Mesp>Cdki(p27), Ciona Cdki(p27) was PCR amplified from cDNA clone VES103_M15 using the primers: CKI_NotIF/CKI_BlpR and swapped in place of LacZ in the Mesp>LacZ plasmid using NotI and Blp1.

Antibody staining/CLIP labeling

Embryos were fixed immediately after collection in approximately 2 mL of buffered paraformaldehyde (PFA) solution (4% PFA w/v, 0.1 M MOPS, 0.5 M NaCl, 0.1 mM EGTA, 2 mM MgSO4 (pH 7)) in PBS overnight at 4°C on a nutating mixer. Antibody staining was performed as previously described [20,40]. Briefly, embryos were washed 5 times in PBS-Triton X-100 (0.1% v/v), blocked with PBS-BSA (1% w/v) for 1 hour at room temperature and stained with 0.1% GFP Tag Monoclonal Antibody (3E6) in PBS-BSA overnight at 4°C. Embryos were then washed 3 times in PBS-Triton, stained with 0.02% DRAQ5 in PBS-Triton for 1 hour at room temperature, washed 2 times in PBS-BSA, blocked with PBS-NDS (2% v/v) for 1 hour at room temperature, stained with 0.1% Alexa Fluor 488 donkey α-mouse antibody (Invitrogen A21202), Alexa Fluor Phalloidin 633 (to detect F-actin), and 0.5% CLIP-Cell TMR-Star in PBS-NDS for 2 hours at room temperature, washed 3 times in PBS-BSA, and mounted in approximately 75% glycerol.

Inhibitor treatments

In order to inhibit CDK1 activity and induce prophase arrest in founder cells, Ciona embryos grown at 18°C in filter sterilized sea water were treated with 5 μg/mL of Roscovitine approximately 10 minutes after blastopore closure (early Hotta Stage 14) and incubated for approximately 1 hour before fixation at Hotta Stage 16. In order to inhibit AurK activity and induce prophase arrest in founder cells, Ciona embryos grown at 18 °C in filter sterilized sea water were treated with 10 μg/mL of VX-680 (Tozasertib) or 5 ug/mL of AMG-900 at Hotta Stage 13 and incubated for approximately 1.5 hour before fixation at Hotta Stage 16.

Confocal microscopy and image processing

All images were acquired with a Leica SP5 confocal microscope (Leica Microsystems, Buffalo Grove, Illinois). For volumetric analysis, 12-bit z-stacks through the founder cells or TVC/ATM pairs were obtained through a 40× oil objective (N.A. 1.25) and 4× digital zoom with a step size of 0.3 μm. For live imaging, 12-bit z-stacks through the founder cells or TVC/ATM pairs were obtained through a 20× objective (N.A. 0.7) and 5× digital zoom with a step size of 1.0 μm. We scanned bidirectionally with a scan speed of 700 Hz and with cropping in the y-dimension to reduce imaging time. All images were recorded with 12-bit depth and the resolution set at 1024 × 1024. Image processing was performed using FIJI (ImageJ, N.I.H., Bethesda, Maryland) and Matlab (MathWorks, Natick, Massachusetts).

Quantification and statistical analysis

Cell segmentation

Using FIJI (ImageJ) software, z-stacks were cropped to isolate individual founder cells for segmentation. Cell segmentation was performed using Matlab. Cropped images were smoothed using a 2D Gaussian filter and then binarized by thresholding. The threshold value was automatically calculated using Otsu’s method and then scaled by the threshold level [42]. To fill in gaps, the cell mask was dilated, the holes were filled, and the cell mask was eroded in each z-plane. To remove regions outside of the cell, each mask was eroded in 3D, and objects with a volume of less than 10 μm3 were deleted before the mask was redilated in 3D. This post-processing step was done to smooth the masks and to delete disconnected and minimally connected objects. Each cell mask was manually reviewed and, if necessary, the masks were adjusted for accuracy.

Volumetric analysis

Volumetric analysis was performed using Matlab. Images were smoothed using a 2D Gaussian filter with standard deviation of 0.1 μm, and then binarized by thresholding at the 95th percentile of pixel intensity within the cell mask. Thresholding was done to normalized the volume of the puncta to the volume of the cell mask, and the level of thresholding was selected based on the separation of signal from background across a set of sample of images taken from our dataset. To capture signal distribution and spatial colocalization, segmented cell volumes were divided into 3 regions based on the distance to the edge of the mask: plasma membrane-associated (0 to 1 μm), peripheral cytoplasm (1 to 3 μm), and deep cytoplasm (>3 μm). The 3D Euclidean distance was calculated with the linear time algorithm described by Maurer [43]. Importantly, the distance was adjusted to account for the voxel size of the 3D image. The FGF receptor fold enrichment was calculated for each region according to:

RegionalFGFREnrichment=VFGFreceptorinregion/VregionVFGFreceptorincell/Vcell

where V = volume. The amount of signal in each region was normalized by volume to account for changes in cell morphology across images and mitotic stages. The resulting fold enrichment values were averaged and presented as mean ± standard error of the mean. Manders’ Colocalization Coefficient [44] was calculated for whole cells and each region within these cells according to:

Colocalizationcell=VFGFreceptorRABincellVFGFreceptorincell
Colocalizationregion=VFGFreceptorRABinregionVFGFreceptorinregion

where VFGF receptor ∩ RAB in cell = the volume of FGFR::VENUS puncta that overlap with HALO::RAB endosome puncta.

Founder cells display a strong adhesion-dependent cell polarity that results in ventrally biased FGFR distribution [20,41]. To determine whether ventral FGFR polarization impacted the results of our volumetric analysis, total cell volume for each segmented founder cell was divided in half along the dorsal–ventral axis. Analysis of the mitotic FGFR distribution in ventral regions of our founder cells mirrored the results from whole cell analysis. These results indicate that stage-specific shifts in FGFR distribution primarily reflect changes on the ventral side of polarized founder cells. consistent with previous data [20]. We also used these Ventral/Dorsal volumes to calculate Ventral/Dorsal enrichment ratios,

Ventral/DorsalFGFREnrichment=VFGFreceptorinventralregionVFGFreceptorindorsalregion

Statistical analysis

In all graphs, error bars represent standard error of mean (SEM) as stated in the results and figure legends. Statistical significance was determined using one-way ANOVA followed by Tukey multiple comparison test unless otherwise indicated in the results or figure legends.

Supporting information

S1 Fig. Inhibition of mitotic entry suppresses FGFR mitotic trafficking but does not impact TVC induction (related to Fig 1).

(A-B’) Ventral projections and lateral sections for founder cells electroporated as indicated. Dashed lines (A and B; orange) indicate position of sections (A’ and B’). (C) Graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated as indicated. No significant changes in regional FGFR::VENUS enrichment were detected in arrested Mesp>Cdki(p27) transgenic founder cells (plasma membrane-associated p = 0.489, peripheral cytoplasm p = 0.527, deep cytoplasm p = 0.899). Data were obtained from 2 independent trials, n > 16. (D) Graphical summary of mitotic arrest at different stages as observed for founder cells electroporated with either Mesp>LacZ or Mesp>Cdk1(p27) as indicated. Data were obtained from 3 independent trials, n > 13 per trial. (E-F”) Representative micrographs of late tailbud embryos showing cranial-cardiac progenitor induction (indicated by overlapping Mesp>Ensc::GFP and FoxF>RFP reporter expression) versus noninduced precardiac founder lineage cells (indicated by Mesp>Ensc::GFP reporter expression alone) in embryos coelectroporated with either Mesp>LacZ or Mesp>Cdk1(p27) as indicated [20,40,41,21]. (G-H) Graphical summary of mitotic arrest and heart progenitor induction in embryos cotransfected as indicated. Data were obtained from 3 independent trials, n > 17 per trial. Scale bars are indicated in micrometers. Significance indicated; n.s., not significant. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Error bars represent SEM. Numerical values for all graphs can be found in S6 Data. ATM, Anterior Tail Muscle Cell; FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

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S2 Fig. Stage-specific quantitation of mitotic FGFR trafficking patterns (related to Fig 2).

(A-A”’) Graphical summary of whole cell (A) and regional FGFR::VENUS/ CLIP::RAB7 colocalization (A’-A”’; Manders’ overlap) during founder cell division (data shown correspond to data presented in Fig 2D). n > 6 for each mitotic stage. Regional overlap was measured in 3 concentric regions, plasma membrane, peripheral cytoplasm, and deep cytoplasm (Fig 1A-A”; Methods). Lack of any significant change (p > 0.05) is indicated by no change in lettering (a for all columns). Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S7 Data. Error bars represent SEM. FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean.

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S3 Fig. Inhibition of CDK1 does not impact endosomal maturation or slow recycling of FGF receptors during mitotic entry (related to Figs 2 and 3).

(A-B’) Masked/thresholded transverse sections of founder cells electroporated with Mesp>FGFR::Venus and Mesp>HALO::RAB11 and treated as indicated. For clarity, panels showing only colocalized FGFR::VENUS/CLIP::RAB11 puncta are provided (OVERLAP; Manders’ overlap; MOC) (A’ and B’). (C-E) Graphical summary of whole cell (C) and regional FGFR::VENUS/ CLIP::RAB11 colocalization (D-E; Manders’ overlap) in founder cells treated as indicated. (F-H) Graphical summary of whole cell (F) and regional FGFR::VENUS/ CLIP::RAB4 colocalization (G-H; Manders’ overlap) in founder cells treated as indicated. Data were obtained from 2 independent trials, n > 14. Scale bars are indicated in micrometers. Significance indicated by p-value or a change in lettering (a versus b). Lack of significance indicated by n.s. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S8 Data. CDK1, Cyclin-dependent Kinase 1; FGF, Fibroblast Growth Factor; n.s., not significant.

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S4 Fig. Prolongation of CDK1 activity leads to excessive FGFR internalization and blocks TVC induction (related to Fig 2).

(A-B’) Ventral projections and lateral sections for founder cells electroporated as indicated. Dashed lines (A and B; orange) indicate position of sections (A’ and B’). (C) Graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated as indicated (deep cytoplasm; p = 0.264). Data were obtained from 2 independent trials, n > 7. (D) Graphical summary of mitotic arrest observed for founder cells electroporated. Data were obtained from 3 independent trials, n > 22 per trial. (E-F”) Representative micrographs of late tailbud embryos showing cranial-cardiac progenitor induction (indicated by overlap of Mesp> Ensc::GFP and FoxF>RFP reporter expression along with migration into the head/trunk region) versus noninduced precardiac founder lineage cells (indicated by Mesp>Ensc::GFP reporter expression alone along with lack of migration) in embryos coelectroporated with either Mesp>LacZ or Mesp>CyclinBΔ90 as indicated [20,40,41,21]. Note that prolongation of CDK1 activity appears to disrupt induction. This may be due to failure of transgenic cells to properly exit mitosis or it may reflect observed FGFR internalization. (G-H) Graphical summary of mitotic arrest and heart progenitor induction in embryos cotransfected as indicated. Data were obtained from 3 independent trials, n > 8 per trial. Arrested Mesp>CyclinBΔ90 transgenic embryos (A-C) were fixed and analyzed at Hotta Stage 16 [22], approximately 1 hour after control cells (Mesp>LacZ) complete asymmetric division. Scale bars are indicated in micrometers. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S9 Data. Error bars represent SEM. ATM, Anterior Tail Muscle Cell; CDK1, Cyclin-dependent Kinase 1; FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

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S5 Fig. Inhibition of both CDK1 Kinase activity and lysosomal degradation increases the plasma membrane-associated enrichment of FGF receptors.

(A-B’) Lateral sections and graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated with Mesp>FGFR::Venus alone or in combination with Mesp>HALO::Vam2421-841 and treated with vehicle (DMSO) or Roscovitine (14 μmol/L) as indicated. Mesp>HALO::Vam2421-841 alone also resulted in a modest, but not significant, increase in plasma membrane-associated FGFR::VENUS. Because phalloidin staining obscures FGFR::VENUS localization, red dashed lines were used to indicate phalloidin-stained cell membranes (A-B). Some regions are labeled with an a or b to denote significant changes (p < 0.05) that occurred within this region across stages. Other regions are labeled n.s. to denote that no significant changes occurred for the indicated stages. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. (C) Quantification of the FGFR::VENUS enrichment in the plasma membrane-associated region of founder cells electroporated and treated as indicated. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S10 Data. Scale bars are indicated in micrometers. CDK1, Cyclin-dependent Kinase 1; FGF, Fibroblast Growth Factor.

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S6 Fig. RAB4 phosphomutants impact TVC induction (related to Fig 4).

(A-D”) Representative micrographs of late tailbud embryos showing induced cranial-cardiac progenitors (TVCs, arrowheads point to cells showing overlapping Mesp>GFP and FoxF>RFP reporter expression) versus noninduced anterior muscle lineage cells (ATMs, arrows point to cells showing Mesp>GFP reporter expression alone) in embryos coelectroporated with Mesp>LacZ (n = 258), HALO::Rab4 (n = 235), HALO::Rab4S199A/T200A (n = 277), or HALO::Rab4S199D/T200D (n = 130) as indicated [20,40,41,21]. (E) Graphical summary of heart progenitor induction in embryos cotransfected as indicated. Embryos electroporated with HALO::Rab4S199A/T200A show increased induction as indicated by the increased proportion of cells with overlapping Mesp>Ensc::GFP and FoxF>RFP in comparison to control embryos electroporated with Mesp>LacZ (p = 0.02) or HALO::Rab4 (p = 0.02). Embryos electroporated with HALO::Rab4S199D/T200D show decreased induction as indicated by the increased proportion of cells with Mesp>Ensc::GFP but no FoxF>RFP in comparison to control embryos electroporated with Mesp>LacZ (p = 0.0001) or HALO::Rab4 (p = 0.006). Data were obtained from 3 independent trials, n > 31 per trial. Scale bars are indicated in micrometers. Significance was determined using a t test with an arcsine square root transformation. Numerical values for all graphs can be found in S11 Data. Error bars represent SEM. ATM, Anterior Tail Muscle Cell; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

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S7 Fig. Inhibition of Aurora Kinase activity does not impact fast recycling of FGF receptors during mitotic entry or RAB7 or RAB11 overlap in the deep cytoplasm (related to Fig 4).

(A-C) Graphical summary and quantitative analysis of regional FGFR::VENUS enrichment for founder cells electroporated with Mesp>FGFR::Venus and treated with vehicle (DMSO) or AMG-900 (10 μmol/L) as indicated. (D) Quantification of regional FGFR::VENUS/CLIP::RAB11 overlap in founder cells electroporated and treated as indicated. (E-G) Masked/thresholded transverse sections and quantification of regional FGFR::VENUS/CLIP::RAB4 overlap for founder cells electroporated and treated as indicated. MOCs for whole cell analysis are indicated (E and F) Note that treatment with VX-680 had no significant impact on Rab4 colocalization (E-G). Treatment with AMG-900 also had no significant impact [whole cell overlap for DMSO-treated cells MOC = 0.155 ± 0.019 (n = 7) and AMG-900 treated cells MOC = 0.112 ± 0.015 (n = 3) p = 0.118]. (H-K) Graphical summary and quantification of regional FGFR::VENUS/CLIP::RAB7 overlap in founder cells electroporated and treated as indicated. (L-O) Graphical summary and quantification of regional FGFR::VENUS/CLIP::RAB7 overlap in founder cells electroporated and treated as indicated. Data were obtained from 2 independent trials. n = number of founder cells analyzed. Scale bars are indicated in micrometers. Significance indicated by asterisk and/or change in letter. n.s., not significant. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S12 Data. FGF, Fibroblast Growth Factor; MOC, Manders’ overlap coefficient.

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S1 Table. Key Reagents/Resources used to generate the data presented in this study.

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S1 Data. The raw data associated with all graphs found in Fig 1.

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S2 Data. The raw data associated with all graphs found in Fig 2.

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S3 Data. The raw data associated with all graphs found in Fig 3.

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S4 Data. The raw data associated with all graphs found in Fig 4.

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S5 Data. The raw data associated with all graphs found in Fig 5.

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S6 Data. The raw data associated with all graphs found in S1 Fig.

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S7 Data. The raw data associated with all graphs found in S2 Fig.

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S8 Data. The raw data associated with all graphs found in S3 Fig.

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S9 Data. The raw data associated with all graphs found in S4 Fig.

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S10 Data. The raw data associated with all graphs found in S5 Fig.

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S11 Data. The raw data associated with all graphs found in S6 Fig.

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S12 Data. The raw data associated with all graphs found in S7 Fig.

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Acknowledgments

We thank Danelle Davenport for her suggestions and comments on this study. We also thank William (Bill) Bement for his generous gift of HALO and CLIP constructs. We thank Dong Shin (Chris) You for his work in establishing the FGFR segmentation protocol. We thank Johnathan White for his work in establishing the live imaging protocol.

Abbreviations

AurK

Aurora Kinase

CDK1

Cyclin-dependent Kinase 1

CDKI

Cyclin-dependent Kinase Inhibitor

Ceslr1

Cadherin EGF LAG seven-pass G-type receptor 1

ESCRT

endosomal sorting complexes required for transport

FGFR

Fibroblast Growth Factor Receptor

GFP

green fluorescent protein

HOPS

homotypic fusion and protein sorting

ORF

open reading frame

PFA

paraformaldehyde

PLK

Polo-like Kinase

SEM

standard error of mean

TGF-β

transforming growth factor beta

TVC

Trunk ventral cell/Cranial-cardiac progenitor

Data Availability

All relevant representative or numerical data is provided in figures or supplementary data files. Raw image files are stored on Google Drive and access to these files will be provided on request, by contacting C.D.C. at cdcota@colby.edu.

Funding Statement

C.D.C. was supported by her American Heart Association Postdoctoral Award (16POST27250075). All authors were supported by the National Science Foundation (NSF) (grant #1656571 awarded to B.D.) Some of the student’s summer salaries along with purchase of some of their research supplies were funded by Swarthmore College. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Di Jiang, PhD

4 Feb 2020

Dear Dr Davidson,

Thank you for submitting your manuscript entitled "Mitotic Kinases choreograph receptor storage and redistribution." for consideration as a Research Article by PLOS Biology.

Many apologies for the delay in getting back to you and thank you for your patience when we assessed your submission. Your manuscript has now been evaluated by the PLOS Biology editorial staff as well as by an academic editor with relevant expertise and I am writing to let you know that we would like to send your submission out for external peer review.

Please note, however, that the outcome of our discussion of your manuscript is that we have some reservations as to the depth of analysis. We would need to be persuaded by the reviewers that the paper has the potential after revision to offer the significant strength of advance and sufficient experimental support that we require for publication in order to pursue it further for PLOS Biology. Presently, we are concerned about the over-reliance on the localisation data to draw conclusions and a lack of direct evidence on CDK1-dependent RAB4 phosphorylation. We are letting you know now as you may wish to begin work on experiments that can address these concerns now. There is, however, absolutely no guarantee of the outcome of the review process.

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Di Jiang

PLOS Biology

Decision Letter 1

Di Jiang, PhD

25 Feb 2020

Dear Dr Davidson,

Thank you very much for submitting your manuscript "Mitotic Kinases choreograph receptor storage and redistribution." for consideration as a Research Article at PLOS Biology. Your manuscript has been evaluated by the PLOS Biology editors, an Academic Editor with relevant expertise, and by four independent reviewers.

In light of the reviews (below), we will welcome re-submission of a revised version that takes into account the reviewers' comments, in particular use of alternate inhibitors. We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent for further evaluation by the reviewers.

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REVIEWS:

Reviewer #1: As someone who has worked in mitosis, polarity and membrane trafficking, this manuscript is potentially of great interest to cell and developmental biology. However, the major weakness is that the manuscript is incredibly hard to understand and the results are not always clearly presented. So, I fear that the non-specialist will not be able to follow it without substantial improvements to the clarity of presentation.

Comments:

1. To make their findings more understandable to the non-specialist, the authors could consider converting part of the current Figure S1 into a revised Fig 1, to show where these founder cells are located within the embryo, and to show the cross-section of the wild type FGFR::Venus at interphase, metaphase and telophase, which is currently only schematized in Fig 1A. The authors should not assume that the reader has read and can recall their previous papers. Rather, they should feel comfortable in simply showing new versions of previously demonstrated data or schematics again, at least of the wild-type cells and what happens to them during mitosis, so that the basic phenomenon is clearly established in Fig 1 without needing to read the text or previous papers. For example, why does the previous Dev Cell paper show a schematic of a the Ciona embryo founder cells and their location within the embryo in Fig 1A, while this new paper does not? It would also be worth showing new examples of the Fig 1B-D in the Dev Cell paper in this new paper. In particular, there is no interphase control cell shown for Fig 1B.

2. In general, all of the microscopy images of the founder cells are too small to easily see what is going on. It would be best to increase the size of each of the panels by around 400% at the expense of the white space currently occupying most of the figures. Otherwise, it is hard to see any substantive differences between any of the panels, or to see any co-localisation.

3. In the previous Dev Cell paper, the FGFR appears to move completely (100%) from the lateral membranes at interphase to endosomes in mitosis (and is asymmetrically distributed). In this paper, the authors quantify this change but only observe a 30% reduction in plasma membrane-associated FGFR (Fig 1D). What is the reason for this difference?

4. I find the Roscovitine (CDK1 inh.) experiment deeply confusing. If mitotic entry is blocked, shouldn't the FGFR stay at the plasma membrane? The fact that it doesn't (and is degraded) is interpreted as these cells being 'blocked in prophase'. But what is the evidence for this? Secondly, if active CDK1 is needed to inhibit degradation of FGFR, then why isn't FGFR degraded during interphase, when CDK1 is not active? I would suggest repeating the Roscovitine experiment in interphase cells - is the FGFR also degraded there? The authors must already have done this control. Also, is it clear that VX680 doesn't also lead to inhibition of CDK1 through loss of the positive feedback loop between AuroraA/B and CDK1 activation? If so, then perhaps the Roscovitine is causing an artefactual result, which the authors should consider seriously before pressing ahead with publication.

Reviewer #2 (Emmanuel Boucrot, signed review): Cota, Davidson and colleagues are reporting that mitotic kinases Cdk1 and Aurora are suppressing endosomal degradation and recycling back to the plasma membrane of Fibroblast Growth Factor Receptors (FGFRs) during asymmetric division.

The authors followed-up on their seminal 2015 paper in which they reported that FGFR are internalised into endosomes during pre-cardiac founder cell division in the chordate Ciona robusta. This leads to an unequal distribution of FGFRs between the two daughter cells, thereby causing differential cell fate, which is critical for proper development. The study of mitotic FGFR distribution in Ciona founder cells is a powerful model of highly physiological relevance.

In the present study, the authors measured with precision FGFR distribution between daughter cells and localisation inside late, fast- and slow-recycling endosomes (Rab7-, Rab4- and Rab11-positive compartment, respectively). They found that the receptors are stored into Rab11- and Rab7-endosomes during early mitosis and recycled back to the plasma membrane during mitotic exit. They further established that the mitotic kinase CyclinB1/CDK1 blocks the Rab4-dependent fast recycling route whereas Aurora controls the fusion back to the plasma membrane from Rab11-positive compartments. They also establish that both kinases controls late endosome to lysosome conversion, tipping the balance towards the formers and thereby sparing FGFRs from degradation.

The work was carefully planned, executed and analysed with the appropriated controls and statistics to support most of the conclusions. The findings are new and deepen significantly our understanding of membrane trafficking during mitosis and endosome inheritance upon cell division.

The only weak part of the manuscript is the section on Aurora kinase (Figure 5):

1. Unlike for CDK1 where the authors backed up their results with small compound inhibitor with a genetic approach (the CyclinBDelta90 construct), all the conclusions on Aurora are based on the inhibitor VX-680. However, as most small compound inhibitor, VX-680 is not strictly specific and also inhibits Src, Abl, GSK3beta as well as few other kinases (see PMID 16424036). Its effect on GSK3beta is potentially relevant, as explained below.

Thus, it would be prudent to confirm the phenotype using a second, chemically unrelated, inhibitor such as AMG-900 (PMID 20935223) that do not share the same secondary targets (p38alpha, DDR1 and 2 and LTK for AMG-900). Alternatively, if possible in Ciona, a genetic approach (depletion, dominant negative or constitutively active constructs) would alleviate concerns about small compound inhibitors.

2. Contrasted with CDK1 where the authors could confirm that the phenotype is mediated by the phosphorylation of S199 on Rab4, the lack of molecular insight about how Aurora works makes for a weak ending to the paper.

The VX-680 phenotype (Fig. 5A-C) is consistent with a block of Rab11-positive recycling endosome back to the cell surface. This could be a defect in RE transport within the cytoplasm or an inhibition of RE to plasma membrane (PM) fusion. Both of these steps are controlled by Rab11 through its interaction with the exocyst complex (Exo70 etc.), Arf6 and FIP3, 4 and 5 proteins.

Of potential relevance, FIP5 was reported to be phosphorylated on T276 by GSK3beta during mitosis (PMID 24591568). Interestingly, the motif LLT276*RS read from right to left (kinases obviously read amino acids in both direction) is SRT*LL which could be an Aurora B consensus site [R/K][S/T][I/L/V]. With the dual inhibition of Aurora and GSK3beta by VX-680, it is pressing to rule out any role for GSK3beta (using the CHIR-99021 or BIO inhibitors or genetic perturbations such as knock-down or S9A- or K85A- GSK3beta constitutively active and kinase dead mutants, respectively).

It is also possible that Aurora kinase acts on the SNAREs, which in the case of recycling endosomes are VAMP2 or 3, SNAP23 and Syntaxin 4. Inhibiting VAMP3 function perturbed TfR-containing recycling endosome fusion back to the cell surface during late mitosis (PMID 17483462) and there are links between Aurora and SNARE function in late cytokinesis (PMID 16213214; 19887622).

I appreciate that a detailed study of how Aurora blocks RE fusion to the PM is beyond the scope of this manuscript but addressing point 1 (required for publication in PLOS Biology in my opinion) and providing some insights into point 2 would greatly benefit to the impact and robustness of the paper.

Minor comments:

- the paragraph title "Endocytic pathways involved in mitotic redistribution of FGFR" (page 4) is misleading as one would expect a study of the pathways by which the receptor enter cells during mitosis (i.e. clathrin-mediated endocytosis, CLIC/GEEC, FEME, macropinocytosis etc..). As the authors studied the endosomal paths used by the receptor (fast- and slow-recycling or degradation), "Endosomal pathways involved in […]" would be more appropriated.

- Page 6 (top) and page 7 (top) "roscovatine" should be "roscovitine"

Reviewer #3: This paper from Cota and colleagues sheds light on the regulation of endosomal trafficking and receptor sorting during asymmetric cell division.

Endosomal trafficking recently emerged as a major regulator of morphogenesis thought its effects on signalling, both for symmetric cell division (to ensure equal transmission of morphogen molecules between daughter cells) and for asymmetric cell division (to ensure asymmetric cell fate). However, while decades of cell biology provided a deep understanding of the regulation of trafficking during interphase in cultured cells, very little is known about the regulation of trafficking during mitosis in tissues. This is mostly due to the fact that tissues are less amenable to quantitative imaging studies than cultured cells, but also due to the fact that until recently, endocytic uptake was thought to be shut down during mitosis. This quantitative study addresses this question directly, in the physiological context of asymmetric cell division in the chordate Ciona robusta.

The authors first show using quantitative 3D imaging that FGFR receptors are internalized during early mitosis, before going back to the plasma membrane at the end of mitosis. They then show that internalized receptors do colocalize with recycling endosomes (Rab4-Rab11) and late endosomes (Rab7). They then use drugs to characterize the effect of mitotic kinases (Aurora A and CDK1) on this FGFR trafficking. They then provide evidences that CDK1 inhibits FGFR degradation in lysosomes and inhibit fast recycling through the Rab4 pathway. Last, they provide evidences that Aurora kinase inhibits Rab11-dependant slow recycling, as well as increase receptor trafficking to late, Rab7 compartments.

I think this is an excellent paper addressing a fundamental question of trafficking in a physiologically relevant context. I particularly appreciated the efforts the authors put in being very quantitative. I found particularly fascinating the finding that CDK1 specifically protects from degradation only a subset of receptors (like FGFR) rather that uniformly inhibiting the degradation pathway. This has important implications for our molecular understanding of morphogenesis, in particular because tissue-scale variations of receptor degradation in lysosomes is thought to control the establishment of morphogen gradients. While I think the study deserves few controls to ensure the specificity of the treatments used (see below), I think this paper fully deserves publication in PloS biology.

Specific comments:

Main comment: specificity of the CDK1/Aurora treatment

The first part of the study deals with effects ascribed to the CDK1 kinase using the inhibitor Roscovitine. It is my understanding that this inhibitor is broad and can target other CDK, including CDK2 and CDK5 as well as other kinases (ERK2), albeit with less affinity (Meijer et al, Eur J Biochem. 1997). To address this problem, the authors nicely made use of the CyclinBDelta90 overexpression, which shows increased FGFR signals, in good agreement with their Roscovitine data (Fig 3I). But this panel i) does not have a control (meaning a live FGFR::VENUS expressing cells, showing the near absence of signal) and ii) is not quantified (it should be easy enough to quantify as the authors did in Fig 3E).

I think this part of the work deserves further characterization to ensure that the effects are indeed CDK1-specific. First, by quantifying the CyclinBDelta90 effect, but also by using other CDK1 inhibitors with a different spectrum like BMS-265246 or R547 (there are probably others). Obviously, it is probably not worth redoing ALL the Roscovitine experiments with another inhibitor, but at least Figure3 A,B-D would be nice.

Similarly, the last figure deals with Aurora inhibition and all data solely comes from one inhibitor, VX-680. This inhibitor inhibits Aurora in the nM range in vitro, which is orders of magnitude below the concentration used by the authors (20uM). This increases the chances of off-targets, which have been reported for this molecule (Cheetham GM, et al. Cancer Lett. 2007)(obviously we do not know if it's true in Ciona as well, perhaps the authors do). I think it would strengthen the paper to confirm these results with either another inhibitor, or a dominant active/inactive Aurora for instance.

Minor comments:

-3D segmentation. I really appreciated the care shown by the authors to use unbiased, user-free thresholding methods. However, I did not understand how the authors segmented the plasma membrane from the VGFR staining (i.e. I don't understand how they come up with the white perimeter of the cell from the green segmented region in Fig 1B'). Please explain in a bit more details.

-I really like the representation and colour coding scheme chosen by the authors in Fig1C. I think it would be nice to add a snapshot of a cell for each mitosis phase to appreciate the raw data along the cell cycle (in supplementary material at least).

In addition, I think the "a, b, ns" in Fig 1C and D-D'' (and the rest of the paper) are a bit confusing. Since the authors used different colours when differences are statistically significant with the previous phase, why not simply stating it in the legend? The graph makes the point anyway.

- The authors are excellent at testing the significance relevance of nearly every observation, but I could not find the number of cells analysed for each condition in Fig 1D-D'', Fig 2 and Fig 4C.

-Fig3K: Why is there DMSO in the control if there is no drug in the Vam2 treatment?

-Fig3 A',B',C',G' it seems that there is some Rab7 signal (magenta) within the nucleus (Cyan). Why is that ?

-Fig 4C. I think a control with HALO::Vam2[421-841] without Roscovitine would be useful (it will probably enhance the effect).

-The inhibitor treatment section of the methods refers to a Brefeldin A treatment, but I could not find any reference to it in the text or the figures. Also, I think that 10ug/mL of VX680 corresponds to 21uM not 10uM as stated in the legends of Fig 3 and 5 (MW 464.59).

Reviewer #4: Review Cota et al

General comments

As cells enter mitosis and round-up the total amount of plasma membrane is reduced through a process that prevents recycling of endosomes back to the plasm membrane. Recycling occurs either via molecularly distinct fast or slow pathways. How these two recycling pathways are shut off during mitosis is currently unknown.

Here the authors nicely demonstrate that the major kinase that drives cells into mitosis (CDK1) prevents fast endosome recycling. In addition, the authors demonstrate that CDK1 also prevents lysosomal degradation of internalized FGF receptors, leading to their accumulation within the cell. To supplement this analysis the authors also show that Aurora kinase (another kinase active in mitosis) prevents the slow recycling pathway. These two kinases thus lead to the accumulation of endocytosed FGF receptors on internal endosomes, allowing them to be recycled to the plasma membrane once the cell exits mitosis. Intriguingly, it is also suggested that the subcellular distribution of internalized FGF receptors is controlled by Aurora kinase, and that this has implications for the cell fate outcome of the two daughter cells (either cranial-cardiac or tail muscle: FoxF is used as an indicator of heart progenitor fate).

This is a well-written article that addresses a fundamental topic using both pharmacological and molecular tools combined with sophisticated volumetric image analysis of fluorescent reporter constructs targeted via transgenesis to the specific cells. I support publication of this article following some minor revision.

One general comment is related to the previous article published by the group (Cota and Davidson, 2015), where they nicely demonstrated that FGF receptors were degraded in mitosis (reversed by MG132 mitotic block) when cell adhesion was inhibited with RapS17N. I therefore expected an update on how lack of adhesion leads to receptor degradation during mitosis given the current finding that CDK1 also shuts off the FGF receptor degradation machinery during mitosis.

Figures.

Figure 1. FGF receptor moved from plasma membrane to internal stores then back to plasma during mitotic entry, mitosis and mitotic exit respectively.

This figure was fine.

Figure 2. Dynamics of FGFR cycling and association with RAB7 or RAB11 endosomes

Late endosome RAB7, slow recycling endosome RAB11 - OK

Prophase: FGFR and RAB11 peripheral co-localization increased = Slow Cycling Endosomes - OK

Metaphase: FGFR and RAB7 co-localization increased (deep cell Maturation Pathway), FGFR and RAB11 co-localization remained unchanged - OK

Anaphase: FGFR and RAB7 co-localization decreased (recycled or degraded), FGFR and RAB11 peripheral co-localization increased (and returned to plasma membrane) - OK

Figure 3. CDK1 suppresses FGFR degradation during mitotic entry

3A,B. Blocking cells entering mitosis with Roscovitine led to decrease in FGFR staining.

3C. Blocking cells entering mitosis with VX-680 (Aurora kinase inhibitor) did not reduce FGFR staining.

3F-H. E-Cadherin staining not affected by Roscovitine.

Conclusion: CDK1 stabilizes a subset of membrane proteins

Hypothesis: CDK1 suppresses FGFR lysosomal degradation.

3D. Blocking lysosomal degradation with Vam2 expression rescued FGFR signal loss induced by Roscovitane - Nice

3I and Figure S4. A stabilized form of cyclin B (delta 90) that causes sustained CDK1 activity increased FGFR staining - consistent and opposite to Roscovitine finding.

However, the quantification of the delta 90 experiment is missing. Please add.

Conclusion: CDK1 activity suppresses RAB4 fast recycling and promotes accumulation of internalized FGFR by also preventing FGFR destruction.

Thus, inhibiting CDK 1 activity should lead to more plasma membrane or peripheral FGFR if FGFR destruction is also blocked (with for example MG132).

Authors were unable to test this because inhibiting CDK1 also prevents FGFR destruction

However, the authors could have combined Roscovitine with MG132 to test this prediction. This experiment may be worth doing of possible.

Figure 4. CDK1 phosphorylation of RAB4 suppresses cycling

Phosphorylation site on RAB4 conserved - interesting that the proline is not conserved.

Phospho-mimetic RAB4 (inactive mutant S199/A199) drove enrichment of FGFR on PM and reduction in peripheral cytoplasm during prophase - nice.

Phospho-mimetic RAB4 (active mutant S199/D199) blocked FGFR recycling during anaphase - nice.

Conclusion: CDK1 phosphorylation of RAB4 inhibits fast receptor recycling during mitosis.

Note - in the cartoon it would appear that blocking Rab4 phorphorylation (S199A) should lead to accumulation of Rab4 vesicles in the periphery on slow recycling vesicles. However, the data indicates that Rab4 is higher on the plasma membrane. Please provide cartoon that displays the data provided in Figures 4H and K. Also, I was not clear why there was not more Rab4 recycled to the plasma membrane via the fast recycling pathway.

Figure 5. Aurora kinase regulates maturation and recycling of FGFR endosomes.

VX-680 increased FGFR on plasma membrane - OK.

Hypothesis: Aurora kinase blocks exocytosis of RAB11/FGFR endosomes during mitotic entry.

Aurora kinas inhibition blocked co-localization of RAB11 and FGFR.

Interestingly, VX-680 also decreased RAB7/FGFR co-localization in plasma membrane/peripheral regions.

This result suggests that Aurora kinase promotes maturation of FGFR enriched endosomes.

Hypothesis: this late endosomal pool is important for ventral polarization via biased degradation on founder cell's dorsal side.

In line with this hypothesis, VX-680 gave increased FGFR on founder cell's dorsal side.

Figure 6. Model

OK, although large solid arrows appear unchanged throughout.

Suggestion

Is this specific for FGFR. Could test with Calveolin as previously, for example with D90 does Calveolin behave the same as FGFR?

Discussion

Good, although I was left wondering about the relative contributions of adhesion-dependent suppression of FGFRs during mitosis and CDK1-dependent suppression of FGFRs during mitosis, and also how loss of adhesion bypasses the CDK1 suppression of FGFR degradation.

Minor comments

Page 3, Line 3 … for promoting exit specific… Should Be …for promoting exit from specific…

Fig. S5A. Two scale bars appear on same image.

Roscovitine or Roscovatine. Please change all to Roscovitine in the text.

Decision Letter 2

Roland G Roberts

11 Nov 2020

Dear Dr Davidson,

Thank you for submitting your revised Research Article entitled "Mitotic Kinases choreograph receptor storage and redistribution." for publication in PLOS Biology. I have now obtained advice from three of the original reviewers and have discussed their comments with the Academic Editor.

Based on the reviews, we will probably accept this manuscript for publication, assuming that you will modify the manuscript to address the remaining points raised by the reviewers. Please also make sure to address the data and other policy-related requests noted at the end of this email.

IMPORTANT:

a) You will see that reviewer #1 raises two concerns. While we understand the reviewer's first point, and the additional cell culture experiment would further strengthen the paper, we and the Academic Editor will not insist on it; you may address this point as you feel fit.

b) Regarding the second point raised by rev #1, the Academic Editor says "Roscovitine and VX680 have different targets (CDK1 and Aurora kinase, respectively), so I would not expect the same phenotype from both treatments. I feel that the rationale of the authors is valid: if the phenotype was arising from loss of the positive feedback between CDK1 and Aurora kinase, then one would expect the same phenotype from inhibition of either kinase." As the other reviewers, who requested the additional inhibitor, are satisfied, we do not require additional data here.

c) Please attend to the requests from reviewer #3.

d) Please attend to my Data Policy requests further down.

e) Please could you change the title to something that clarifies which kinases and what type of receptors you study concerns. Maybe "Mitotic kinases CDK1 and Aurora choreograph storage and redistribution of membrane-bound receptors."

We expect to receive your revised manuscript within two weeks. Your revisions should address the specific points made by each reviewer. In addition to the remaining revisions and before we will be able to formally accept your manuscript and consider it "in press", we also need to ensure that your article conforms to our guidelines. A member of our team will be in touch shortly with a set of requests. As we can't proceed until these requirements are met, your swift response will help prevent delays to publication.

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Please do not hesitate to contact me should you have any questions.

Sincerely,

Roli Roberts

Roland G Roberts, PhD,

Senior Editor,

rroberts@plos.org,

PLOS Biology

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DATA POLICY:

You may be aware of the PLOS Data Policy, which requires that all data be made available without restriction: http://journals.plos.org/plosbiology/s/data-availability. For more information, please also see this editorial: http://dx.doi.org/10.1371/journal.pbio.1001797

Note that we do not require all raw data. Rather, we ask that all individual quantitative observations that underlie the data summarized in the figures and results of your paper be made available in one of the following forms:

1) Supplementary files (e.g., excel). Please ensure that all data files are uploaded as 'Supporting Information' and are invariably referred to (in the manuscript, figure legends, and the Description field when uploading your files) using the following format verbatim: S1 Data, S2 Data, etc. Multiple panels of a single or even several figures can be included as multiple sheets in one excel file that is saved using exactly the following convention: S1_Data.xlsx (using an underscore).

2) Deposition in a publicly available repository. Please also provide the accession code or a reviewer link so that we may view your data before publication.

Regardless of the method selected, please ensure that you provide the individual numerical values that underlie the summary data displayed in the following figure panels as they are essential for readers to assess your analysis and to reproduce it: Figs 2A’B’C’DEE’E’’E’’’FF’F’’F’’’ 3EHK, 4CHK, 5A’B’CFF’II’J, S1CDGH, S2AA’A’’A’’’, S3CDEFG, S4CDGH, S5A’B’C, S6ABCDGJKNO. NOTE: the numerical data provided should include all replicates AND the way in which the plotted mean and errors were derived (it should not present only the mean/average values).

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REVIEWERS' COMMENTS:

Reviewer #1:

The authors did not satisfactorily address my point 1, beyond adding a few lines of text:

1. To make their findings more understandable to the non-specialist, the authors could consider converting part of the current Figure S1 into a revised Fig 1, to show where these founder cells are located within the embryo, and to show the cross-section of the wild type FGFR::Venus at interphase, metaphase and telophase, which is currently only schematized in Fig 1A. The authors should not assume that the reader has read and can recall their previous papers. Rather, they should feel comfortable in simply showing new versions of previously demonstrated data or

schematics again, at least of the wild-type cells and what happens to them during mitosis, so that the basic phenomenon is clearly established in Fig 1 without needing to read the text or previous papers. For example, why does the previous Dev Cell paper show a schematic of a the Ciona embryo founder cells and their location within the embryo in Fig 1A, while this new paper does not? It would also be worth showing new examples of the Fig 1B-D in the Dev Cell paper in this new paper. In particular, there is no interphase control cell shown for Fig 1B.

The authors responded that they do not need to address this point because "the current manuscript is focused on delineating the cell biology of mitotic trafficking, rather than heart progenitor induction". If this is the case, and their goal is general cell biology rather than the development of a specific cell type, then they need to show the same results in a cell culture system, such as human cells in culture, to confirm the generality of their findings to cell biology.

In their response to my point 4, the authors state:

"We are confident that feedback inhibition of CDK1 due to VX-680 treatment (or feedback inhibition of AurK due to roscovitine treatment) did not create artefactual results because treatment with these inhibitors (roscovitine vs. VX- 680) led to highly distinctive, non-overlapping effects on FGF receptor distribution and staining levels as detailed in Figures 3 and 5. For example, if VX-680 inhibited CDK1 then we would have expected to observe reduced FGFR:VENUS staining, instead VX-680 had no discernable impact on FGFR::VENUS staining levels (Figure 3)."

I am glad they are confident of their own interpretations, but peer review requires that an objective reviewer is also confident. The risk the authors face is that their results from either Roscovitine or VX680 are completely misleading and artefactual. And the fact that the two drugs have different effects only makes this concern greater, not less.

Reviewer #2:

The authors addressed all of my concerns and added new experiments that strengthened their conclusions and model.

I am fully satisfied and recommend publication.

Reviewer #3:

In this revised version, Cota and colleagues have addressed nearly all my minor comments. In particular, the new AMG-900 data really does strengthen the manuscript, and I do agree with them that their orthogonal CyclinB(delta90) data is sufficient and that another CDK1 inhibitor is not required. I'd like to congratulate the authors on this very elegant piece of quantitative cell biology!

I have only two cosmetic comments:

-Regarding controls, I do agree that that the spatial relocalisation data is well controlled and convincing between Roscovitine and CyclinB(delta90) treatments (Fig.4A-C and S4A-C). My point was more for the specific experiment presented in Figure 3I. I personally would have put a picture of a live embryo expressing Mesp> LacZ; Mesp>FGFR::Venus (figure 3I) for the reader to directly see the point of the authors , even if it basically has noise in the Venus channel. But this is the author's choice, the added text and a "data not shown" convey the same idea.

-I thank the authors for clarifying their "a, b, ns" notation, it makes more sense now. To help the reader, the authors might want to add in the legend of Fig1c that the "a,b,ns" applies for changes *within the same region* between stages (i.e. not between two regions within a given stage, but within the same region between stage). Something like:

"Significant changes [within the same cell region] between stages (p<0.05) are indicated by a change in lettering (a, b), n.s.=not significant

Decision Letter 3

Roland G Roberts

18 Dec 2020

Dear Dr. Davidson,

I am writing concerning your manuscript submitted to PLOS Biology, entitled “Cyclin-dependent Kinase 1 and Aurora Kinase choreograph mitotic storage and redistribution of a growth factor receptor..”

We have now completed our final technical checks and have approved your submission for publication. You will shortly receive a letter of formal acceptance from the editor.

Kind regards,

PLOS Biology

Associated Data

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

    Supplementary Materials

    S1 Fig. Inhibition of mitotic entry suppresses FGFR mitotic trafficking but does not impact TVC induction (related to Fig 1).

    (A-B’) Ventral projections and lateral sections for founder cells electroporated as indicated. Dashed lines (A and B; orange) indicate position of sections (A’ and B’). (C) Graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated as indicated. No significant changes in regional FGFR::VENUS enrichment were detected in arrested Mesp>Cdki(p27) transgenic founder cells (plasma membrane-associated p = 0.489, peripheral cytoplasm p = 0.527, deep cytoplasm p = 0.899). Data were obtained from 2 independent trials, n > 16. (D) Graphical summary of mitotic arrest at different stages as observed for founder cells electroporated with either Mesp>LacZ or Mesp>Cdk1(p27) as indicated. Data were obtained from 3 independent trials, n > 13 per trial. (E-F”) Representative micrographs of late tailbud embryos showing cranial-cardiac progenitor induction (indicated by overlapping Mesp>Ensc::GFP and FoxF>RFP reporter expression) versus noninduced precardiac founder lineage cells (indicated by Mesp>Ensc::GFP reporter expression alone) in embryos coelectroporated with either Mesp>LacZ or Mesp>Cdk1(p27) as indicated [20,40,41,21]. (G-H) Graphical summary of mitotic arrest and heart progenitor induction in embryos cotransfected as indicated. Data were obtained from 3 independent trials, n > 17 per trial. Scale bars are indicated in micrometers. Significance indicated; n.s., not significant. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Error bars represent SEM. Numerical values for all graphs can be found in S6 Data. ATM, Anterior Tail Muscle Cell; FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

    (PDF)

    S2 Fig. Stage-specific quantitation of mitotic FGFR trafficking patterns (related to Fig 2).

    (A-A”’) Graphical summary of whole cell (A) and regional FGFR::VENUS/ CLIP::RAB7 colocalization (A’-A”’; Manders’ overlap) during founder cell division (data shown correspond to data presented in Fig 2D). n > 6 for each mitotic stage. Regional overlap was measured in 3 concentric regions, plasma membrane, peripheral cytoplasm, and deep cytoplasm (Fig 1A-A”; Methods). Lack of any significant change (p > 0.05) is indicated by no change in lettering (a for all columns). Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S7 Data. Error bars represent SEM. FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean.

    (PDF)

    S3 Fig. Inhibition of CDK1 does not impact endosomal maturation or slow recycling of FGF receptors during mitotic entry (related to Figs 2 and 3).

    (A-B’) Masked/thresholded transverse sections of founder cells electroporated with Mesp>FGFR::Venus and Mesp>HALO::RAB11 and treated as indicated. For clarity, panels showing only colocalized FGFR::VENUS/CLIP::RAB11 puncta are provided (OVERLAP; Manders’ overlap; MOC) (A’ and B’). (C-E) Graphical summary of whole cell (C) and regional FGFR::VENUS/ CLIP::RAB11 colocalization (D-E; Manders’ overlap) in founder cells treated as indicated. (F-H) Graphical summary of whole cell (F) and regional FGFR::VENUS/ CLIP::RAB4 colocalization (G-H; Manders’ overlap) in founder cells treated as indicated. Data were obtained from 2 independent trials, n > 14. Scale bars are indicated in micrometers. Significance indicated by p-value or a change in lettering (a versus b). Lack of significance indicated by n.s. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S8 Data. CDK1, Cyclin-dependent Kinase 1; FGF, Fibroblast Growth Factor; n.s., not significant.

    (PDF)

    S4 Fig. Prolongation of CDK1 activity leads to excessive FGFR internalization and blocks TVC induction (related to Fig 2).

    (A-B’) Ventral projections and lateral sections for founder cells electroporated as indicated. Dashed lines (A and B; orange) indicate position of sections (A’ and B’). (C) Graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated as indicated (deep cytoplasm; p = 0.264). Data were obtained from 2 independent trials, n > 7. (D) Graphical summary of mitotic arrest observed for founder cells electroporated. Data were obtained from 3 independent trials, n > 22 per trial. (E-F”) Representative micrographs of late tailbud embryos showing cranial-cardiac progenitor induction (indicated by overlap of Mesp> Ensc::GFP and FoxF>RFP reporter expression along with migration into the head/trunk region) versus noninduced precardiac founder lineage cells (indicated by Mesp>Ensc::GFP reporter expression alone along with lack of migration) in embryos coelectroporated with either Mesp>LacZ or Mesp>CyclinBΔ90 as indicated [20,40,41,21]. Note that prolongation of CDK1 activity appears to disrupt induction. This may be due to failure of transgenic cells to properly exit mitosis or it may reflect observed FGFR internalization. (G-H) Graphical summary of mitotic arrest and heart progenitor induction in embryos cotransfected as indicated. Data were obtained from 3 independent trials, n > 8 per trial. Arrested Mesp>CyclinBΔ90 transgenic embryos (A-C) were fixed and analyzed at Hotta Stage 16 [22], approximately 1 hour after control cells (Mesp>LacZ) complete asymmetric division. Scale bars are indicated in micrometers. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S9 Data. Error bars represent SEM. ATM, Anterior Tail Muscle Cell; CDK1, Cyclin-dependent Kinase 1; FGFR, Fibroblast Growth Factor Receptor; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

    (PDF)

    S5 Fig. Inhibition of both CDK1 Kinase activity and lysosomal degradation increases the plasma membrane-associated enrichment of FGF receptors.

    (A-B’) Lateral sections and graphical summary of regional FGFR::VENUS enrichment for founder cells electroporated with Mesp>FGFR::Venus alone or in combination with Mesp>HALO::Vam2421-841 and treated with vehicle (DMSO) or Roscovitine (14 μmol/L) as indicated. Mesp>HALO::Vam2421-841 alone also resulted in a modest, but not significant, increase in plasma membrane-associated FGFR::VENUS. Because phalloidin staining obscures FGFR::VENUS localization, red dashed lines were used to indicate phalloidin-stained cell membranes (A-B). Some regions are labeled with an a or b to denote significant changes (p < 0.05) that occurred within this region across stages. Other regions are labeled n.s. to denote that no significant changes occurred for the indicated stages. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. (C) Quantification of the FGFR::VENUS enrichment in the plasma membrane-associated region of founder cells electroporated and treated as indicated. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S10 Data. Scale bars are indicated in micrometers. CDK1, Cyclin-dependent Kinase 1; FGF, Fibroblast Growth Factor.

    (PDF)

    S6 Fig. RAB4 phosphomutants impact TVC induction (related to Fig 4).

    (A-D”) Representative micrographs of late tailbud embryos showing induced cranial-cardiac progenitors (TVCs, arrowheads point to cells showing overlapping Mesp>GFP and FoxF>RFP reporter expression) versus noninduced anterior muscle lineage cells (ATMs, arrows point to cells showing Mesp>GFP reporter expression alone) in embryos coelectroporated with Mesp>LacZ (n = 258), HALO::Rab4 (n = 235), HALO::Rab4S199A/T200A (n = 277), or HALO::Rab4S199D/T200D (n = 130) as indicated [20,40,41,21]. (E) Graphical summary of heart progenitor induction in embryos cotransfected as indicated. Embryos electroporated with HALO::Rab4S199A/T200A show increased induction as indicated by the increased proportion of cells with overlapping Mesp>Ensc::GFP and FoxF>RFP in comparison to control embryos electroporated with Mesp>LacZ (p = 0.02) or HALO::Rab4 (p = 0.02). Embryos electroporated with HALO::Rab4S199D/T200D show decreased induction as indicated by the increased proportion of cells with Mesp>Ensc::GFP but no FoxF>RFP in comparison to control embryos electroporated with Mesp>LacZ (p = 0.0001) or HALO::Rab4 (p = 0.006). Data were obtained from 3 independent trials, n > 31 per trial. Scale bars are indicated in micrometers. Significance was determined using a t test with an arcsine square root transformation. Numerical values for all graphs can be found in S11 Data. Error bars represent SEM. ATM, Anterior Tail Muscle Cell; SEM, standard error of mean; TVC, Trunk ventral cell/Cranial-cardiac progenitor.

    (PDF)

    S7 Fig. Inhibition of Aurora Kinase activity does not impact fast recycling of FGF receptors during mitotic entry or RAB7 or RAB11 overlap in the deep cytoplasm (related to Fig 4).

    (A-C) Graphical summary and quantitative analysis of regional FGFR::VENUS enrichment for founder cells electroporated with Mesp>FGFR::Venus and treated with vehicle (DMSO) or AMG-900 (10 μmol/L) as indicated. (D) Quantification of regional FGFR::VENUS/CLIP::RAB11 overlap in founder cells electroporated and treated as indicated. (E-G) Masked/thresholded transverse sections and quantification of regional FGFR::VENUS/CLIP::RAB4 overlap for founder cells electroporated and treated as indicated. MOCs for whole cell analysis are indicated (E and F) Note that treatment with VX-680 had no significant impact on Rab4 colocalization (E-G). Treatment with AMG-900 also had no significant impact [whole cell overlap for DMSO-treated cells MOC = 0.155 ± 0.019 (n = 7) and AMG-900 treated cells MOC = 0.112 ± 0.015 (n = 3) p = 0.118]. (H-K) Graphical summary and quantification of regional FGFR::VENUS/CLIP::RAB7 overlap in founder cells electroporated and treated as indicated. (L-O) Graphical summary and quantification of regional FGFR::VENUS/CLIP::RAB7 overlap in founder cells electroporated and treated as indicated. Data were obtained from 2 independent trials. n = number of founder cells analyzed. Scale bars are indicated in micrometers. Significance indicated by asterisk and/or change in letter. n.s., not significant. Significance was determined using one-way ANOVA followed by Tukey multiple comparison test. Numerical values for all graphs can be found in S12 Data. FGF, Fibroblast Growth Factor; MOC, Manders’ overlap coefficient.

    (PDF)

    S1 Table. Key Reagents/Resources used to generate the data presented in this study.

    (PDF)

    S1 Data. The raw data associated with all graphs found in Fig 1.

    (XLSX)

    S2 Data. The raw data associated with all graphs found in Fig 2.

    (XLSX)

    S3 Data. The raw data associated with all graphs found in Fig 3.

    (XLSX)

    S4 Data. The raw data associated with all graphs found in Fig 4.

    (XLSX)

    S5 Data. The raw data associated with all graphs found in Fig 5.

    (XLSX)

    S6 Data. The raw data associated with all graphs found in S1 Fig.

    (XLSX)

    S7 Data. The raw data associated with all graphs found in S2 Fig.

    (XLSX)

    S8 Data. The raw data associated with all graphs found in S3 Fig.

    (XLSX)

    S9 Data. The raw data associated with all graphs found in S4 Fig.

    (XLSX)

    S10 Data. The raw data associated with all graphs found in S5 Fig.

    (XLSX)

    S11 Data. The raw data associated with all graphs found in S6 Fig.

    (XLSX)

    S12 Data. The raw data associated with all graphs found in S7 Fig.

    (XLSX)

    Attachment

    Submitted filename: Response to reviewers PLOS CDC 929.docx

    Attachment

    Submitted filename: Response to reviewer.docx

    Data Availability Statement

    All relevant representative or numerical data is provided in figures or supplementary data files. Raw image files are stored on Google Drive and access to these files will be provided on request, by contacting C.D.C. at cdcota@colby.edu.


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