Abstract
Vimentin is one of the first cytoplasmic intermediate filaments to be expressed in mammalian cells during embryogenesis, but its role in cellular fitness has long been a mystery. Vimentin is acknowledged to play a role in cell stiffness, cell motility, and cytoplasmic organization, yet it is widely considered to be dispensable for cellular function and organismal development. Here, we show that Vimentin plays a role in cellular stress response in differentiating cells, by recruiting aggregates, stress granules, and RNA-binding proteins, directing their elimination and asymmetric partitioning. In the absence of Vimentin, pluripotent embryonic stem cells fail to differentiate properly, with a pronounced deficiency in neuronal differentiation. Our results uncover a novel function for Vimentin, with important implications for development, tissue homeostasis, and in particular, stress response.
Subject terms: Cytoskeleton, Intermediate filaments
Introduction
Vimentin is a type III intermediate filament (IF), and is one of the first cytoplasmic filaments to be expressed in a developing organism1, as early as day 8 of embryogenesis, after Keratin expression2. Embryonic Stem Cells (ESCs) have low levels of Vimentin, which is turned on early in differentiation, and is later replaced by tissue-specific intermediate filaments in most cell types1,2. It is composed of coiled-coil alpha-helices with flexible head and tail regions, which vary between different type III IFs such as Glial Fibrillary Acidic Protein (GFAP), Neurofilaments, Desmin, and Peripherin; and two coiled-coil rod domains which are conserved between type III IFs3,4. Vimentin is normally localized in ultrastructurally diverse filaments spanning from the nuclear periphery to the cell membrane and associates with the actin and tubulin cytoskeleton5, with organelles, including mitochondria and lipid droplets, and with chaperones like αβ-crystallin5–8. It has also been shown to interact with several signaling proteins, including 14-3-3 proteins, Extracellular signal-regulated kinase (ERK), and Rho-associated protein kinase (RhoK)9–11. The cellular functions of Vimentin are not completely established, although it was shown to contribute to cell stiffness, cell motility, actin positioning, and organelle trafficking6,12,13.
Despite the early and ubiquitous expression of Vimentin, its physiological role has been unclear. The Vimentin-/- knockout mouse displays few reported abnormalities, aside from poor wound healing, a smaller carotid artery, and intestinal defects14–16. One study recently showed that murine embryonic stem cells (mESCs) from Vimentin-/- mice have slower Embryoid Body (EB) growth relative to wild-type17. It has also been observed that Mouse Embryonic Fibroblasts (MEFs) lacking Vimentin are difficult to immortalize and delay entry into senescence18. Indeed, Vimentin is implicated in tumorigenesis, since it is highly upregulated during the epithelial-mesenchymal transition, and there are studies showing that Vimentin is needed for metastasis19–21. It also seems to facilitate certain viral infections22. Recent work has additionally shown that Vimentin modulates inflammation in macrophages during atherogenesis and regulates NOTCH signaling during angiogenesis23,24. All this suggests that Vimentin confers a protective or pro-survival function on cells9,25 and may specifically be involved in heat-stress tolerance9.
In recent work, we showed that Vimentin is partitioned asymmetrically in dividing immortal cell lines26. A subsequent study reported the asymmetric partitioning of Vimentin together with ubiquitinated proteins in developing neuronal progenitor cells (NPCs) away from the differentiating neuron27. Together these and other observations led us to propose a role for Vimentin in replicative rejuvenation—the process of asymmetrically partitioning aggregated proteins and other damaged components during mitosis, so as to produce a pristine lineage27–32. In support of this, a very recent study identified a Vimentin mutation in an individual presenting with a premature aging pathology33. However, an unequivocal physiological requirement for Vimentin in stress response or rejuvenation is yet to be demonstrated.
We set out to systematically examine the requirement of Vimentin for mouse ESC neuronal differentiation and stress tolerance. Using CRISPR/Cas9 knock-out mESC lines, we show that Vimentin is critical for stress tolerance in differentiating, but not in pluripotent, stem cells. Examining the Vimentin interactome during differentiation and stress revealed that Vimentin protects cells by associating with aggregates and Stress Granules, and directing their asymmetric partitioning during mitosis. High temporal and spatial resolution imaging in live cells showed that Vimentin does not simply encage aggregates, as has been suggested previously26,34,35. Instead, Vimentin colocalizes with aggregate foci and Stress Granules throughout the cytoplasm, and recruits them to a retracted Vimentin mesh-like structure. Vimentin knock-out cells had dramatically altered gene expression and differentiation profiles. Cells deleted for Vimentin fail to differentiate into neuronal progenitors, and the defect is severely exacerbated during stress. Our data suggest that Vimentin may be dispensable during normal conditions, but is critically important when cells are exposed to protein folding stress.
Results
Vimentin protects differentiating stem cells from aggregate toxicity
Vimentin is expressed at low levels in mESCs (Fig. 1a,e; Supplementary Fig. 1A), but its expression level rises significantly following three days of retinoic acid (RA) differentiation and peaks after four days (Supplementary Fig. 1A). In order to examine the role of Vimentin in ESC differentiation and stress response, we generated a mouse ESC R1 line with a homozygous deletion for Vimentin introduced via CRISPR/Cas9 gene editing (Fig. 1e, Supplementary Fig. 1C–E). Vimentin −/− mESCs exhibited no growth defects (Fig. 1b, left panel), consistent with what was observed in the Vim −/− mouse. However, when we triggered differentiation of the R1 cells by addition of RA, we observed significant growth differences between the Vimentin −/− and WT cells (Fig. 1b, right panel). Allowing mESCs to differentiate into Embryoid Bodies (EBs) revealed a dependency on Vimentin for robust EB growth (Fig. 1c,d), similar to what was reported earlier17 in ES cells derived from the Vimentin −/− mouse. Complementing the Vimentin −/− mESCs with virally-integrated RFP-tagged Vimentin completely restored normal growth. Although the growth defect was substantial, the differentiated mESCs and the EBs were nevertheless able to proliferate. We next reasoned that if Vimentin does have a stress-response role, as we hypothesize, culturing EBs under protein folding stress will uncover a greater growth defect.
To test this hypothesis, we expressed aggregation-prone proteins (including mutant SOD136, mutant TDP43, AggDD37 , Ubc9ts31, and Synphilin-138 from virally integrated vectors in WT and Vimentin−/− mESC cells. We focused on growth assays with Synphilin-1, which exhibited no cytotoxicity in WT cells, and therefore allowed to monitor cell survival and proliferation. Expression of Synphilin did not appreciably exacerbate the growth defect of Vimentin −/− EBs (Compare Fig. 1b,c and Fig. 1d, center panel). However, growing Vimentin −/− EBs expressing Synphilin-1 at mild heat shock temperatures (42 °C) uncovered a notable growth defect over time (Fig. 1c, right panel, d, lower panel). Initially, cells expressing Synphilin-1 grew faster, possibly due to a heat shock response which is cytoprotective. By the 6th day of EB differentiation, however, there was dramatic cell death in the Vimentin −/− Synphilin-1-expressing cells, leading to a significant decrease in average EB size (Fig. 1c,d; Supplementary Fig. 2A,B). Interestingly, cells that were complemented with virally-integrated Vimentin showed greater stress tolerance than WT cells, likely due to earlier and more abundant Vimentin expression, driven by a strong promoter. Indeed, Western Blotting showed 4-times more Vimentin in complemented cells (Fig. 1e, Supplementary Fig. 1B).
In order to assess heat shock response in WT and Vimentin −/− cells, we blotted against the Hsf-1 transcription factor regulator of heat shock response (Fig. 1f). Surprisingly, not only did Vimentin−/− cells show a much higher level of Hsf-1 activation (upper band represents phosphorylated Hsf-1)39, but these cells also maintained a baseline heat shock response that was higher than the heat stress-induced Hsf-1 response in WT cells (Fig. 1f, Supplementary Fig. 1F). From the western blot data, it is also evident that Hsf-1 is activated more in vimentin −/− cells compared to WT during stress conditions (Heat and Arsenite), possibly because the absence of Vimentin causes additional protein folding stress and aggregate accumulation19. These data decisively establish a protective role for Vimentin during protein folding stress, and indicate that Vimentin−/− cells are constitutively stressed in normal conditions.
Vimentin interacts directly with protein aggregates, and directs their asymmetric partitioning during mESC differentiation
Next, we sought to investigate the mechanism of the protective effect that we observed for Vimentin. Although we have previously observed asymmetric partitioning of Vimentin in cultured cell lines26 this has not been demonstrated in dividing mESC cells. Moreover, in previous studies, we only observed an asymmetric partitioning of Vimentin that was retracted into a juxtanuclear “Vimentin cage”. Although Vimentin that is cytoplasmically distributed still partitions in an asymmetric fashion, in most dividing cells a significant sub-cellular pool of Vimentin retracts to the juxtanuclear region prior to metaphase through a known mechanism40,41. (Supplementary Movie 1 and 2). Examining the cellular distribution of Vimentin more closely revealed that heat, arsenite, and folding stress (i.e. puromycin), all lead to accelerated retraction of Vimentin into the “cage” or mesh structure, while the rest of the cellular cytoskeleton and overall structure remain intact (Fig. 2a,b; Supplementary Fig. 1G; Supplementary Movies 6–10). The functional purpose for the retraction is not known, however it clearly facilitates the asymmetric inheritance of Vimentin and associated proteins during mitosis.
In order to examine the relationship between Vimentin asymmetry and the accumulation of Synphilin aggregates in differentiating mESC, we imaged live cells with RFP-tagged Vimentin and GFP-tagged Synphilin. Synphilin aggregates can be seen to colocalize with Vimentin filaments (Fig. 2c, upper panel), and remain associated with a filament as it is retracted (Fig. 2d—timelapse). In order to rule out incidental colocalization as opposed to prolonged association, we attempted to visualize colocalization between Synphilin and non-filamentous Vimentin Unit Length Filaments, and to track Synphilin aggregates on assembled Vimentin filaments over time. We employed a mutant form of Vimentin (Y117L) which is unable to assemble into filaments of cables, and instead forms Unit Length Filaments (ULFs) of 8 tetramers assembled in a barrel shape. Normally ULFs assemble end to end into a mature filament, but the mutant remains a ULF. We expressed Synphilin in Vimentin −/− cells, and co-expressed Vimentin Y117L ULFs tagged with GFP. ULFs, visualized as green puncta, associate with the surface of Synphilin aggregates, proportionally to the surface area of the aggregate (Fig. 2e, top panel for large Synphilin aggregate, lower panel for small Synphilin aggregate; quantification and statistics in Supplementary Fig. 3a).
We next visualized WT GFP-tagged Vimentin associating with RFP-tagged Synphilin aggregates prior to mitosis. Tracking a single aggregate clearly showed that Synphilin aggregates are retained by Vimentin filaments and are dragged into the Vimentin cage as Vimentin retracts to the juxtanuclear region/JUNQ inclusion (Fig. 2f, Quantification in Supplementary Fig. 3A, supplementary movie 11). Following cells through metaphase demonstrated asymmetric partitioning of the Vimentin-aggregate complex (Fig. 2f, Supplementary Movie 3 and Quantification in Fig. 2h). Vimentin −/− cells, in contrast, showed perfectly symmetrical partitioning of Synphilin aggregates (Fig. 2g, Supplementary Movie 4 and 5 and Quantification in Fig. 2h). Over time, cells lacking Vimentin accumulated significantly more Synphilin aggregates that were much larger in size (Fig. 2i). What these data cumulatively argue, is that Vimentin associates with misfolded protein aggregates, directs their accumulation in juxtanuclear Vimentin-rich structures and promotes their asymmetric partitioning during mitosis.
Vimentin associates with misfolded proteins, stress response factors, and RNA-binding proteins during stress
The interaction between Vimentin and protein aggregates demonstrated by the above experiments prompted us to assess the Vimentin interactome systematically. For this we utilized the BioID approach42, consisting of fusing a promiscuous biotin Ligase, BirA* to Vimentin. This allowed us to measure the comparative interactome of Vimentin in RA differentiated cells and mESCs in distinct conditions by adding biotin following heat stress, arsenite treatment, treatment with nocodazole (to look at interaction during mitosis), as well as in control conditions.
Comparative interactome analysis showed enrichment in specific protein networks during heat (44 °C for 2 h), arsenite stress (150 µM for 2 h), and during mitosis (nocodazole treatment for 2 h) (Fig. 3a). During stress Vimentin preferentially associated with model misfolded proteins, including Synphilin and VHL, that were ectopically expressed, confirming the cell biological evidence of interaction from Fig. 2b,d. Of the endogenous proteins that were enriched in the Vimentin interactome during stress, the two dominant networks consisted of low structural complexity RNA-binding proteins, many of which were SG components, and stress response proteins including chaperones and proteasome subunits (Fig. 3a). Interestingly, looking closely at the fold enrichment enabled a stress specific resolution of protein network enrichment. Hence, stress response proteins including chaperones and proteasome subunits were equally enriched in heat stress and during arsenite treatment (Fig. 3b), whereas Stress Granule components interacted with Vimentin more during arsenite stress than with heat stress, corresponding to conditions that promote Stress Granule formation (Fig. 3c). In addition to BioID proteomics, we confirmed the interactome with IP against Vimentin. The top overlapping hits between BioID and IP, including the Stress Granule components TARDBP, DDX3X, and VCP, are shown in Fig. 3d,e.
Vimentin associates with the SG component G3BP, and facilitates SG formation
Confirming our interactomics we focused on aggregation-prone RNP-granule (Stress Granule and P-body) proteins and other aggregates. One of our best scoring hits during Arsenite stress was G3BP (both isoforms 1 and 2). We decided to follow up this hit because G3BP is one of the earliest Stress Granule markers. We therefore confirmed the direct interaction between G3BP with an in situ proximity ligation assay using UnFold probes43. The proximity ligation assay (PLA) showed association between Vimentin filaments and G3BP, but only when G3PB was assembled in Stress Granules (Fig. 3f). The Vimentin-Tubulin interaction was used as a positive control. Since tagged Ubiquitin (Ub) can be used as a proxy for following endogenous aggregate localization during heat stress, we investigated the co-localization of endogenous Vimentin (visualized with GFP-tagged chromobodies) with mCherry-tagged Ub-positive aggregates. Confocal imaging (Fig. 3g upper panels) and Structured Illumination Microscopy (SIM) (Fig. 3g, lower panels) showed proximity between Vimentin filaments and Ub-positive aggregates, which persisted over time, despite substantial cytoplasmic movement of Vimentin filaments. We also sought to confirm the interaction (detected by IP) of additional granule-forming RNA-binding proteins with Vimentin during arsenite stress. To do this, we chose a P-body component (Dcp1) and another Stress Granule component (VCP). SIM imaging once again showed direct co-localization between Vimentin filaments and P-bodies, as with Stress Granules, with nearly all P-bodies associating with a filament (Fig. 3h, upper panel). Moreover, the retraction of Vimentin filaments to the juxtanuclear space over time recruited P-bodies there as well (Fig. 3h, lower panels time-lapse; zoomed out start and finish shown in panels on the right). What’s more, Stress Granules associated with Vimentin-ULFs similarly to Synphilin aggregates (Supplementary Fig. 3B), and the complementation of a Vimentin −/− line with ULFs was sufficient to recruit Stress Granules to the juxtanuclear region (Supplementary Fig. 3B).
Extending our follow up to investigate a potential functional connection between Vimentin and RNP granule formation, we examined the effect of Vimentin KO on Stress Granule dynamics. Vimentin−/− cells showed a dramatic impairment in Stress Granule formation and clearance (Fig. 3i, quantification and statistics in Supplementary Fig. 3F), suggesting that the Vimentin-Stress Granule interaction plays a functional role in Stress Granule biology.
Since the most prominent networks of proteins enriched in the Vimentin interactome during stress were either aggregate or Stress Granule-forming proteins, or protein folding quality control proteins that associate with aggregates and granules, we wanted to verify that the interactome of a model misfolded protein overlaps with that of Vimentin during heat shock of arsenite treatment. Indeed, examining the BioID interactome of Synphilin during stress, we observed that it includes endogenous Vimentin, and overlaps strongly with the Vimentin interactome (Supplementary Fig. 3C,D,E). Together, our data argue for a stress response role for Vimentin in differentiating mESC cells.
Vimentin is critical for mESC neuronal differentiation
Given that Vimentin has a clear role in cellular fitness, which emerges upon differentiation, we investigated the effect of Vimentin knockout on the ability of mESC to differentiate into specific lineages. Indeed, Vimentin −/− ESCs showed a slight delay in losing the OCT4 pluripotency marker (Fig. 4a), while other pluripotency genes were lost similarly to WT (Supplementary Fig. 4a). RNAseq profiling of 4-day RA-differentiated cells showed that several gene networks were up-regulated and others down-regulated in Vimentin −/− as compared to WT (Fig. 4b; Supplementary Fig. 4B). These included regulators of cell death, differentiation, metabolism, lipid synthesis, and development. However, similarly to the growth effect observed in Fig. 1, the dysregulation was only evident in RA differentiated mESC, and not in pluripotent cells (Fig. 4b).
The RNAseq profiling of RA-differentiated cells revealed that of the three germ layers, ectodermal markers were significantly lower in Vimentin KOs (Fig. 4c, Supplementary Fig. 4A). Since aggregates and misfolded proteins are thought to pose a particular danger to neurons, which arise from the ectodermal germ layer, we directly examined the ability of Vimentin −/− mESC to differentiate into Neuronal Precursor Cells (NPCs). When mESCs were differentiated along a neuronal program (Supplementary Fig. 4E), neuronal differentiation markers showed a significant difference between Vimentin KO and WT (Fig. 4c). In particular, axon extension and migration markers as well as other neuronal differentiation genes had significantly lower levels of expression in Vimentin −/− cells as compared to control (Fig. 4c).
One explanation for the neuronal differentiation defects observed in Vimentin −/− cells could be that diminished stress response impairs proper development. As cells differentiate into NPCs and neurons, they express less Vimentin, which is retained in non-differentiating cells27. This produces damage-free neurons and promotes survival. Indeed, Vimentin was asymmetrically partitioned in differentiated NPCs (Fig. 4d, quantification in 4g). Consequently, Vimentin −/− NPCs accumulated more Synphilin aggregates (not shown) and partitioned them symmetrically during divisions (Fig. 4e, quantification in 4h), whereas in WT cells Synphilin remained attached to Vimentin filaments and was therefore partitioned asymmetrically.
Finally, whereas WT cells immunostained for the Tuj1 (Tubb3β) neuronal lineage marker at the end of the differentiation program showed abundant expression, Vimentin −/− cells showed almost no Tuj1 expression and significantly less outgrowth of neurons from the EBs (Fig. 4f, quantification in 4h; Supplementary Fig. 4C,D). Together these data clearly argue that Vimentin is important for neuronal differentiation in mESCs. Our findings suggest that, in addition to conferring stress tolerance on differentiating cells, Vimentin may also play a signaling role in the differentiation program, apparently through its tendency to partition asymmetrically during division.
Discussion
Cells possess the capacity to reverse the aging process that they inevitably undergo44–46. Cellular rejuvenation enables multi-cellular organisms to produce a pristine germline, and is also required to produce and maintain immortalized tumorigenic cell populations. Embryonic Stem Cells (ESCs) similarly have the capacity to self-renew indefinitely, and to give rise to youthful differentiated cells47,48. Induced pluripotency technology (iPSC) has opened a new window into cellular rejuvenation by showing that any somatic cell can be reprogrammed into an immortal pluripotent cell. Remarkably, even old cells, with aging-induced pathology, can be reprogrammed not only to become pluripotent, but to become youthful as well49–51.
Two mechanisms can reverse damage accumulated during aging in order to allow rejuvenation. Cells can degrade damaged components with high efficiency via the Ubiquitin–Proteasome System (UPS) and autophagy52. Alternatively, dividing cells can partition damaged components into one of the daughter cells during mitosis, thus generating one lineage that is pristine and one that will accumulate damage53. Both rejuvenation systems have been observed in developing organisms. ESCs have an elevated level of UPS function, which declines upon loss of pluripotency54–56. Differentiating stem cells partition misfolded and aggregated proteins away from specific lineages and into others. Neuronal precursor cells (NPCs), which divide asymmetrically into a self-renewing NPC and a differentiated neuron, partition ubiquitinated misfolded proteins away from the neurons and into the self-renewing NPC27.
In previous work we found that Vimentin directs the asymmetric partitioning of aggregated and ubiquitinated proteins in dividing immortal cell lines, and that this partitioning affects cell fitness26. It was also subsequently shown that Vimentin co-segregates with ubiquitinated protein aggregates in differentiating NPCs27. Another study showed that mutations in Vimentin mitotic phosphorylation sites alter neuronal differentiation in mice57. These findings suggest that Vimentin has an important role in cell fitness and organismal development, but mechanistic evidence for this idea has been sparse.
We examined the role of Vimentin and its ability to asymmetrically partition aggregates in the process of early differentiation of mESCs. We sought to use a system that is physiologically relevant to organismal development because previous studies have mostly not found a role of Vimentin in the organismal context, even though at the cellular level Vimentin has been implicated in many cell biological processes.
Our data show that Vimentin is, in fact, required for viability in differentiated cells (but not in stem cells); however, the requirement of Vimentin is only uncovered during stress. We further demonstrated that Vimentin protects differentiated cells from protein misfolding stress by binding aggregates and granules formed by RNA-binding, intrinsically disordered proteins, and directing their asymmetric partitioning. These results are consistent with previous findings showing that pluripotent cells have a higher level of UPS function, hence it is likely that they are able to degrade misfolded proteins more effectively without the need for asymmetric partitioning. It is not entirely clear how Vimentin interacts with aggregates and granules, but the data point to a direct interaction, as has been observed previously between Vimentin and FUS granules58. Since Vimentin has several disordered regions, it is possible that these directly adsorb disordered aggregates and Stress Granules37,59. Another interesting possibility is that Vimentin acts as a surface for nucleating Stress Granule formation. Recent reports have demonstrated a similar role for Eisosomes60, the Endoplasmic Reticulum61, and Late Endosomes62. The growing list of membraneless organelle-associated cellular structures opens up the fascinating possibility that different types of cytoplasmic surfaces can prime the ad hoc formation of Stress Granules where needed.
It is also possible that the extensive interactions between Vimentin and protein folding quality control machinery, including chaperones, functions to recruit aggregated proteins to Vimentin. What is clear from our data, is that Vimentin interacts with aggregates everywhere in the cytoplasm, even as a ULF, and therefore aggregates need not accumulate in the juxtanuclear region in order to be retained within the Vimentin network, as has been argued previously34. In fact, our data suggest that aggregates are recruited to the juxtanuclear regions as a result of their interaction with Vimentin, and not vice versa.
It is not clear whether the depletion of Synphilin aggregates in differentiating cells expressing Vimentin was solely due to asymmetric partitioning (perhaps followed by attrition of inheriting cell populations), or whether Vimentin also enhanced the degradation of aggregates. There is evidence that the accumulation of aggregates in Vimentin-associated JUNQ compartments promotes degradation19,31, however this is a topic for follow up study.
Our extensive comparative interactome analysis of Vimentin revealed a strikingly large number of RNA-binding proteins and Stress Granule components, as well quality control factors, interacting with Vimentin during stress. This suggests that Vimentin is an important regulator of stress response. In addition to compromising quality control, deletion of Vimentin significantly altered the differentiation program of mESCs, and severely decreased neuronal differentiation. Future experiments will reveal whether, in addition to quality control and stress response, the asymmetric partitioning of Vimentin also regulates differentiation signaling in dividing populations of stem cells.
Materials and methods
Cell culture
The mESC and MEF cell lines were cultured in accordance with published protocols63. MEFs were maintained in Dulbecco’s modified Eagle’s medium (DMEM, Sigma),10% fetal bovine serum (FBS), 2 mM L-glutamine, 50 μg/ml Penicillin and 50 μg/ml Streptomycin. R1ESCs were cultured on a feeder layer of mitomycin-C treated MEFs, and maintained in ESC culture medium (DMEM, 10% ESC-grade FBS, 2 mM L-glutamine, 1 mM sodium pyruvate, 0.1 mM nonessential amino acids, 50 μg/ml Penicillin, 50 μg/ml Streptomycin, 0.1 mM β-mercaptoethanol and 1000 U/ml (LIF). For retinoic acid (RA) induced differentiation, ESCs were grown on gelatin-coated dishes for 96 h and then plated in ESC medium without LIF supplemented with 1 µM RA. For Embryoid body differentiation (EBs) the ESCs were cultured in bacterial culture dishes in ESC media without LIF for 6 days, following the protocol previously described63. For neuronal precursor cells differentiation, the ESCs were plated on bacterial culture dishes without LIF for 4 days to allow for EB formation. EBs were replated on poly-L-ornithine/fibronectin (R&D Systems and Sigma respectively)-coated plates in DMEM/F12 medium (Sigma) supplemented with ITS (5 mg/ml insulin, 50 mg/ml transferrin, 30 nM selenium chloride) and fibronectin (5 mg/ml). In all differentiation protocols MEF removal was achieved by passaging the ESCs 3 times (20 min each).
Generation of knock-out cells in mouse ES cells
Guides targeted to Vimentin gene were designed using CRISPR design tool from Zhang lab (https://crispr.mit.edu/)64. Appropriate target guide was selected for Vimentin gene. The sequences of guides are as follows Vimentin KO Guide FP: ACCGCCTGGTAGACATGGCTTCGA, Vimentin KO Guide RP: AACTCGAAGCCATGTCTACCAGGC. This guide was cloned into mammalian expression vector PX458; pSpCas9(BB)-2A-GFP (PX458) was a gift from Feng Zhang (Addgene plasmid # 48,138; https://n2t.net/addgene:48138; RRID:Addgene48138)65. Mouse R1ESCs were transfected with Vimentin expressing guide and GFP positive cells were sorted after 48 h post-transfection. The sorted cells were clonally expanded and knocking out of Vimentin gene were verified by DNA sequencing, Immuno-fluorescence, Western blotting and real-time PCR, as described earlier64.
Plasmids
For transient transfection of mammalian cells, we used the plasmids DCP1-RFP (Red fluorescence protein) and UB-Cherry (ubiquitin—cherry) which drives the expression of full length CDNA of DCP1 and ubiquitin respectively. For producing the lentiviral plasmids, Vimentin–GFP (green fluorescence protein), Vimentin—RFP (red fluorescence protein), EB3—GFP (green fluorescence protein), chromobodies—RFP (red fluorescence protein), Chromobodies-GFP (green fluorescence protein)66, VHL-GFP, AGDD-GFP and Synphilin–GFP were subcloned into pSin-EF2-Nanog-Pur; pSin-EF2-Nanog-Pur was a gift from James Thomson (Addgene plasmid # 16,578 ; https://n2t.net/addgene:16578 ; RRID:Addgene_16578). Vimentin-BirA*-GFP and Synphilin-BirA-GFP were subcloned into pInducer-20 plasmid.
RNA isolation, reverse transcription and quantitative real-time PCR
Total RNA from ESCs, EBs, Cardiomyocytes and RA differentiated cells was prepared as described in the RNeasy Mini Kit (Qiagen: 74,106 supplemented with RNase-free DNase set) following their instruction. Approximately 1000 ng total RNA was used for reverse transcription using the High Capacity cDNA RT kit (Applied Biosystems, 4,368,814) to make cDNA following manufacturer’s instructions with a mix of random hexamers and poly(dT) primers. Quantitative real-time PCR was performed in a BioRad sequence detection system with diluted cDNA as template. Power SYBR Green PCR Master Mix (Applied Biosystems) was used for real-time PCR.
Genomic DNA isolation
Total genomic DNA was isolated using Sigma genomic DNA isolation kit following manufacturer’s instructions. Approximately 200 ng DNA was used for PCR to screen knock-out clones.
Immunofluorescence (IF)
For IF experiments the cells were grown on glass coverslips in 24 well plate and fixed in 4% PFA (15 min, room temp). The fixed cells were permeabilized (0.5% Triton, 5 min, R.T.) and incubated with the primary antibodies at 4 °C over-night. Cells were then washed (X3) in PBS (5 min, R.T.), incubated with secondary antibodies (45 min at room temperature, washed again and stained with DAPI (5 min, R.T.). The coverslip was mounted in a drop of mounting solution and left for drying at room temperature and slides were stored in dark at 4 °C till imaging. The following antibodies were used (1) anti—Vimentin antibody (Santa Cruz sc-6260), (2) anti TUJ1 antibody (Santa Cruz sc-51670), (3) anti OCT4 antibody (Abcam ab-27985) and (4) G3BP (Sigma—WH0010146M1).
RNA sequencing analysis
The RNA-seq library was made following manufacturer’s instructions. The integrity of the RNA-seq library was confirmed by running a tape-station. The analysis of RNA sequencing data was performed by mapping the raw RNA-seq reads for each condition with the reference mouse genome using TopHat programme. After running TopHat programme, the resulting alignment files were used to run Cufflinks programme that generates a transcriptome assembly file for each input condition. Subsequently, these assembled files were combined together using the Cuffmerge program to generate a merged assembly file which is used to calculate the gene and transcript expression from each sample. Finally, the reads and the merged assembly file were provided to Cuffdiff programme that calculates differential expression levels as well as tests the statistical significance.
Affinity capture of biotinylated proteins
Cells were incubated for 24 h in complete media supplemented with 1 µg/ml doxycycline and 50 µM biotin. The cells were visualized under the microscope for Vimentin and Synphilin expression and localization. Lysis and affinity capture were performed according to42. After three PBS washes, cells (for small-scale analysis, < 107; for large scale analysis, 4 × 107) were lysed at 25 °C in 1 ml lysis buffer (50 mM Tris, pH 7.4, 500 mM NaCl, 0.4% SDS, 5 mM EDTA, 1 mM DTT, and 1 × Complete protease inhibitor (Roche)) and sonicated. Triton X-100 was added to 2% final concentration. After further sonication, an equal volume of 4 °C 50 mM Tris (pH 7.4) was added before additional sonication (subsequent steps at 4 °C) and centrifugation at 16,000 relative centrifugal force. 10% of the sample were saved for western blot analysis. Supernatants were incubated with 300 μl of streptavidin-coated magnetic beads (NEB). Beads were collected (subsequent steps at room temperature) and washed. Four conditions were selected to investigate the interacting proteins of Vimentin—(1) No stress (2) Arsenite stress (150 µM/2 h) (3) Heat stress (44 °C/2 h) and Nocadazole treated (10 µg/ml for 2 h). The experiments were performed in these four conditions in both pluripotent (2i media) and differentiated state (retinoic acid—1 µg/ml).
Preparing samples for the Mass spectroscopy
The samples were prepared with minor modifications described earlier60. The beads were washed twice in 25 mM Tris–HCl, pH 8.0 to remove residual detergents. Next, the beads were resuspended in 100 ul of 8 M Urea containing buffer (10 mM DTT, 25 mM Tris–HCl, pH 8.0) and incubated for 20 min, followed by addition of iodoacetamide to a concentration of 55 mM and further incubation for 20 min in the dark. Subsequently, the Urea was diluted by the addition of 6 volumes of a buffer (25 mM Tris–HCl, pH 8.0). Next, 0.25 μg trypsin was added (Promega Corp., Madison, WI, USA) to the beads and the mixture was incubated overnight at 37 °C with gentle agitation. The released peptides were desalted by loading the whole bead supernatant on C18 Stage tips. Two thirds of the eluted peptide material was used for MS analysis.
MS data analysis
Mass spectra data were processed using the MaxQuant computational platform, version 1.5.3.12 as described earlier60,67. Peak lists were searched against the Mus musculus Uniprot FASTA sequence database containing a total of 9591 reviewed entries. Peptides with minimum of seven amino-acid length were considered and the required FDR was set to 1% at the peptide and protein level. Protein identification required at least 3 unique or razor peptides per protein group. Relative protein quantification in MaxQuant was performed using the label free quantification (LFQ) algorithm. LFQ in MaxQuant uses only common peptides for pair-wise ratio determination for each protein and calculates a median ratio to protect against outliers. It then determines all pair-wise protein ratios and requires a minimal number of two peptide ratios for a given protein ratio to be considered valid.
Proximity ligation assay
PLA was performed as described previously in 4% PFA-fixed tissue or cells43,68. Proteins were detected by incubating the samples with specific primary and secondary antibodies conjugated with oligonucleotides after that. Ligation solution, consisting of two oligonucleotides and ligase, was added. Amplification solution, consisting of nucleotides and fluorescently labeled oligonucleotides, was added together with polymerase. Proximity ligation assays testing interactions between Vimentin and G3BP proteins (Test sample) as well as Vimentin and β-Tubulin (Control sample) were performed in mES cells according to manufacturer’s instructions using Rabbit mAB Vimentin (Cell Signaling—D21H3), Mouse mAB β-Tubulin (Cell Signaling—D3U1W) and mouse mAB G3BP (Sigma—WH0010146M1). The kit for performing the PLA was obtained from Sigma—Duolink, In Situ Red Starter Kit Mouse/Rabbit (DUO 92,101).
The interaction was quantified by measuring the expression values and plotted in the graph.
Growth curve
Cells were grown on a 10 cm tissue culture plate and then seeded (0.1 million cells/well) to 5 cm tissue culture plate coated with gelatin. The cells were grown for 5 days. The number of cells were measured every 24 h. Cells were measured by the automatic cell counter. Graphs were plotted by using standard tools. For undifferentiated condition, the cells were grown for 4 days.
For embryoid body growth curve, the cells (1 million) were seeded on a 10 cm plate and grown for 6 days. Images were taken on the 3rd and the 6th day. Some cells were also taken and fixed on a coverslip by adding 4% para formaldehyde (20 min at 37 °C) and centrifuging them at 3000 rpm for 5 min at RT.
Analysis of genome-wide data and proteomics data
To identify differentially expressed proteins, we compared the expression of individual proteins with the standardized (z-score) distribution of the log fold change values between each pair of samples, using all identified proteins. Statistically significant differentially expressed proteins (absolute log2 fold-change > 1; P < 0.05) were log2 transformed, grouped using unsupervised hierarchical clustering, and plotted using MATLAB (Matlab 2019a Mathworks Ltd) https://www.mathworks.com/products/matlab.html?s_tid=hp_products_matlab. To assess gene-set enrichment of differentially expressed proteins, we obtained a list of gene symbols for each gene ontology term from the Molecular Signatures Database (MSigDB) database. GO-annotation was done for categorizing the proteins into their respective processes they are involved in. The values were also plotted as a graph using graph pad prism software version 7 (https://www.graphpad.com/scientific-software/prism/).
Lentiviral infection
Production of 3rd generation lentivirus was performed as described earlier69 using the combined ratio of transfer plasmid, packaging plasmid, Env plasmid and pRSV-Rev plasmid at 4:2:1:1, respectively. The precipitate was formed by adding 6 μg of DNA to a final volume of 500ul of non-serum media along with 20ul of PEI. The solution was briefly vortexed and incubated at room temperature for 30 min. Following this, the solution was mixed again by gentle vortexing, and then added dropwise to the cells. Flasks were rocked gently in a circular motion to distribute the precipitates, and then returned to the incubator at 5% CO2 unless otherwise stated. 10 to 12 h later, cells were gently washed once with PBS and fresh growth medium with 15% FBS were added. 24 h post-addition of the new media, the initial collection of viral supernatants was done. The conditioned medium was combined and cleared by centrifugation at 1500 rpm for 5 min at 4 °C then passed through a 0.45 μm pore PVDF Millex-HV filter. This viral supernatant media was then added to the cells needed to be infected. After infection, the cells were maintained in the viral supernatant media for 48 h and then passaged to a new plate.
FACS cell sorting
The cells were trypsinized and new media was added to stop the reaction. The cell suspension was centrifuged at 1800 rpm for 3 min. After centrifuging the media was aspirated and PBS with 1% FBS was added to the pellet and mixed. This solution was again centrifuged again at 1800 rpm for 3 min. The supernatant was aspirated and PBS with 1% FBS was added. This tube of cell suspension was kept on ice till FACS sorting. The cell suspension was made to pass through a fluorescent activated cell sorter (FACS Aria, Becton Dickinson) to separate tagged (positive) and untagged (negative) fractions. The sorting was performed at room temperature with the laser (Coherent Innova 70) set at appropriate wavelength and 200 mW power.
Statistical analysis
Three or more independent experiments were performed to obtain the data. Standard deviation was calculated for the population. P values were calculated by two-tailed Student t-test, or one-way ANOVA. The sample sizes were not predetermined. Computational and statistical analyses were performed using established protocols in Matlab (Matlab 2019a Mathworks Ltd). Imaging analysis was performed using NIS software version 3.2).
Live cell imaging
Cells (20,000 cells) were seeded on a glass bottom 4 well plate (De Groot—76-D35C4-20). Imaging was started 24 h after the seeding of cells. Images were acquired depending upon the experiment. Cells were cultured, transfected and live cell was performed according to standard protocols19,70. For time-lapse imaging, we used a dual point-scanning Nikon A1R-si microscope equipped with a Piezo stage, using a 60 × PlanApo IR oil objective NA 1.4, 0.3 μm slices, and 0.2–2% laser power (from 65-mW 488-nm laser and 50-mW 561-nm laser) to acquire 3D movies. Images were acquired in resonant-scanning or Galvano-scanning mode. Each Z series was acquired with 0.5- to 1-μm step size and 10–35 steps. For super resolution Structured Illumination Microscopy (SIM) Cells were prepared as described above. Images were acquired using a Nikon nSIM microscope in 2D mode with a 488 nm and 561 nm lasers. A 100 × oil TIRF objective (NA 1.49) was used for the imaging. Prior to imaging the point-spread function was visualized with 100 nm fluorescence beads in order to adjust the correction ring of the objective to the coverslip thickness. The final image was reconstructed using NIS-Elements software (Version 4.1).
Supplementary information
Acknowledgements
We thank members of the Kaganovich lab for discussion and feedback on the manuscript. This work was supported by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC-StG2013 337713 DarkSide starting grant, a German Israel Foundation Grant GIFI-1201-242.13/2012; a Niedersachsen-Israel Research Program grant, an Abisch-Frenkel Foundation grant, and a joint Israel-Italy cooperation grant from the Israeli Ministry of Science, Technology, and Space. TA was funded by the Jerusalem Brain Community (JBC) Gold PhD fellowship. EM was funded by the Israel Science Foundation ISF 1140/17 and Horizon 2020 research and innovation programme FET-OPEN, CellViewer, No. 686637.
Author contributions
D.K. conceived of the study and designed experiments. G.K.A. and S.P. developed the CRISPR deletion model. S.P., G.K.A., T.A., and S.B. performed experiments. J.P. and S.S. performed the IP. E.M. oversaw CRISPR experiments.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Eran Meshorer, Email: eran.meshorer@mail.huji.ac.il.
Daniel Kaganovich, Email: daniel.kaganovich@med.uni-goettingen.de.
Supplementary information
is available for this paper at 10.1038/s41598-020-76076-4.
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