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. 2023 Jan 9;25(1):108–119. doi: 10.1038/s41556-022-01042-3

LAP1 supports nuclear adaptability during constrained melanoma cell migration and invasion

Yaiza Jung-Garcia 1,2,3,4, Oscar Maiques 2,4, Joanne Monger 2, Irene Rodriguez-Hernandez 2,4, Bruce Fanshawe 4, Marie-Charlotte Domart 5, Matthew J Renshaw 6, Rosa M Marti 7, Xavier Matias-Guiu 8, Lucy M Collinson 5, Victoria Sanz-Moreno 2,4,✉,#, Jeremy G Carlton 1,3,✉,#
PMCID: PMC9859759  EMSID: EMS156666  PMID: 36624187

Abstract

Metastasis involves dissemination of cancer cells away from a primary tumour and colonization at distal sites. During this process, the mechanical properties of the nucleus must be tuned since they pose a challenge to the negotiation of physical constraints imposed by the microenvironment and tissue structure. We discovered increased expression of the inner nuclear membrane protein LAP1 in metastatic melanoma cells, at the invasive front of human primary melanoma tumours and in metastases. Human cells express two LAP1 isoforms (LAP1B and LAP1C), which differ in their amino terminus. Here, using in vitro and in vivo models that recapitulate human melanoma progression, we found that expression of the shorter isoform, LAP1C, supports nuclear envelope blebbing, constrained migration and invasion by allowing a weaker coupling between the nuclear envelope and the nuclear lamina. We propose that LAP1 renders the nucleus highly adaptable and contributes to melanoma aggressiveness.

Subject terms: Cell migration, Melanoma


Jung-Garcia et al. dissect the contributions of isoforms of the inner nuclear membrane protein LAP1 to nuclear envelope blebbing, constrained migration and invasion in melanoma cells.

Main

Metastatic spread accounts for the majority of cancer-related deaths1,2 and there is an urgent need to understand how metastatic potential is acquired. Metastatic melanoma is the leading cause of death for skin cancers3,4. Melanoma cells can switch between different collective and individual migratory modes, can degrade the extracellular matrix and can reprogramme cells in the tumour microenvironment to favour cancer cell survival, migration and invasion512. Repeated physical constraints, for example, traversing tissue constrictions or the vascular endothelium, are a major barrier to metastatic spread13,14. While the cytoplasm can accommodate large deformations, the mechanical properties of the nucleus make translocation of this organelle the rate-limiting step during constrained migration15. Nuclear mechanical properties are regulated through interactions between the cytoskeleton, integral nuclear envelope (NE) proteins, the nuclear lamina and chromatin1618. Disruption of the nuclear lamina or peripheral heterochromatin as well as unrestrained tensional or compressive force can cause NE membranes to rupture1926, leaving genomic DNA exposed to damaging agents in the cytoplasm and prone to persistent damage due to the mis-localization of repair factors27,28. NE ruptures occur typically at NE blebs, where intranuclear pressure can cause the outflow of nucleoplasm and sometimes chromatin22,25,29. As for plasma membrane blebs30, actomyosin contractility regulates NE bleb dynamics31,32. While plasma membrane blebs can facilitate bleb-based migration3337, whether NE blebs contribute to cellular migratory programmes is unclear. The involvement of nucleo-cytoskeletal connections in NE bleb dynamics suggests that studying how these structures are regulated might shed light into how tumour cells withstand high-level mechanical stress. In this Article, we challenged melanoma cells derived from primary tumours and those derived from isogenic metastatic lesions to multiple migratory constraints and 3D invasion in collagen to identify proteins that enable cells to negotiate these challenges. Using a combination of transcriptomics, digital pathology, molecular cell biology and advanced microscopy, we discovered that elevated expression of the inner nuclear membrane (INM) protein lamin-associated polypeptide 1 (LAP1) supports the ability of metastatic cells to overcome repetitive physical challenges through a migratory programme involving NE blebbing.

Results

Metastatic melanoma cells can negotiate repeated constraints

We designed a multi-round transwell migration assay using pores with a subnuclear diameter14 (Fig. 1a) to understand the differential abilities of a pair of isogenic melanoma cell lines derived from the same patient (WM983A, derived from the primary tumour; WM983B, derived from a metastatic lesion) stably expressing nucleus-localized GFP (GFP-NLS) to negotiate repeated constraints. We found that during the first round of migration, while decreasing pore size impaired migration, WM983B cells could negotiate 8 μm and 5 μm pores better than WM983A cells (Fig. 1b and Extended Data Fig. 1a) and up to 10% nuclei displayed at least one NE bleb before and after pore transit (Fig. 1c and Extended Data Fig. 1b–d). On a second round of migration using sequentially 8 μm and 5 μm transwells, we found that WM983B cells, but not WM983A cells, could negotiate this second challenge with a similar efficiency to the first challenge and displayed enhanced NE blebbing (Fig. 1d–f and Extended Data Fig. 1e–g). We confirmed that WM983A and WM983B cells retained this migratory behaviour after a third round of migration using sequentially 8 μm, 8 μm and 5 μm pores, but NE blebbing was not further enriched (Extended Data Fig. 1h,i). Migration through constraints did not affect cell viability (Extended Data Fig. 2a,b) and neither the morphological features of apoptosis nor active caspase-3 were present before or after a second round of migration (Extended Data Fig. 2c), suggesting that repetitive constraints do not activate a cell death programme.

Fig. 1. Metastatic melanoma cells can negotiate repeated constraints.

Fig. 1

a, Schematic of transwell assays. Briefly, cells were challenged to migrate through transwells once or collected after a round of migration and challenged again. The arrows indicate the direction for chemotactic migration. b,c, Percentage of primary melanoma WM983A cells and metastatic melanoma WM983B cells stably expressing GFP-NLS that translocated their nuclei (b) and displayed NE blebs (c) after one round of migration in transwells of various pore sizes. n = 1,758 and 1,728 cells, respectively. d,e, Percentage of WM983A and WM983B cells stably expressing GFP-NLS that translocated their nuclei (d) and displayed NE blebs (e) after a second round of transwell migration through 5 μm pores. n = 192 and 313 cells, respectively. f, Representative images of WM983A and WM983B cells stably expressing GFP-NLS and stained for DNA after a second round of transwell migration through 5 μm pores. Transwell pores were visualized using transmitted light. Magnifications show nuclei that translocated and displayed NE blebs indicated by white arrowheads. Scale bars, 30 μm and 10 μm magnifications. g,h, Percentage of WM983A and WM983B cells stably expressing GFP-NLS that translocated their nuclei (g) and displayed NE blebs (h) after one round of transwell migration through 8 μm pores upon ROCK inhibitor (ROCKi, GSK269962A) treatment. n = 1,689 and 1,757 cells, respectively. i,j, Percentage of WM983A and WM983B cells stably expressing GFP-NLS that translocated their nuclei (i) and displayed NE blebs (j) after a second round of transwell migration through 5 μm pores upon ROCKi treatment. n = 1,119 and 1,487 cells, respectively. k, Resolved lysates from WM983A and WM983B cells grown in 2D or collected after overnight passage through 8 μm transwell pores were examined by western blotting with anti-pMLC and anti-GAPDH anti-sera, and quantified by densitometry (above). Bar charts show the mean and error bars represent s.e.m. from N = 3 individual experiments. In k, error bars represent the standard deviation (s.d.) from N = 4 independent experiments. P values calculated by one-way ANOVA (gk), two-way ANOVA (b and c) and two-tailed unpaired t-test (d and e); *P < 0.05, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

Extended Data Fig. 1. Multi-round transwell migration assays with melanoma cells.

Extended Data Fig. 1

(a, b) Percentage of primary melanoma WM983A and metastatic melanoma WM983B cells that did not translocate their nuclei (a) and displayed nuclear envelope blebs (b) after one round of migration in transwells of various pore sizes. (c,d) Percentage of WM983A and WM983B cells that translocated their nuclei and displayed nuclear envelope blebs classified according to bleb number (c) and bleb shape (d) after one round of migration in transwells of various pore sizes. n = 1758 and 1728 cells, respectively. (e,f) Percentage of WM983A and WM983B cells that did not translocate their nuclei (e) and displayed nuclear envelope blebs (f) after a second round of transwell migration through 5-μm pores. (g) Percentage of WM983A and WM983B cells that translocated their nuclei and displayed nuclear envelope blebs classified according to bleb number (left) and bleb shape (right) after a second round of transwell migration through 5-μm pores. n = 192 and 313 cells, respectively. (h,i) Percentage of WM983A and WM983B cells that translocated their nuclei (h) and displayed nuclear envelope blebs (i) after a third round of transwell migration through 5-μm pores. n = 536 and 606 cells, respectively. Bar charts show the mean and error bars represent S.E.M. from N = 3 independent experiments. P-values calculated by two-way ANOVA (a,b,c,d,g), and unpaired two-tailed t-test (e,f,h,i); *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Numerical data and exact p-values are available in the Source Data.

Source data

Extended Data Fig. 2. Cell viability and actomyosin contractility in multi-round transwell migration assays with melanoma cells.

Extended Data Fig. 2

(a) Percentage of alive primary melanoma WM983A cells and metastatic melanoma WM983B cells after a first round of migration in transwells through 8-μm pores (b) Percentage of alive WM983A and WM983B cells after a second round of migration in transwells through 5-μm pores upon staurosporin treatment. n = 180 and 213 cells, respectively (N = 1). (c) Representative pictures of WM983A and WM983B cells expressing GFP-NLS (green) and stained for caspase-3 (magenta) and DNA (blue) after a second round of migration in transwells through 5-μm pores in the presence or absence of staurosporin. Scale bars, 30 μm. (d) Resolved cell lysates of WM983A and WM983B cells after treatment with ROCK inhibitor (ROCKi) GSK269962A were examined by western blotting with antisera raised against GAPDH, MLC2 and pMLC2. (e) Representative pictures of WM983A and WM983B cells treated with ROCKi and stained for pMLC2 (magenta), lamin A/C (green) and DNA (blue) after a first round of transwell migration through 8-μm pores. Scale bars, 30 μm. (f,g) Percentage of WM983B cells that translocated their nuclei (f) and displayed nuclear envelope blebs (g) after a second round of transwell migration through 8-μm pores upon ROCK inhibitor (ROCKi) GSK269962A treatment. n = 787 and 691 cells, respectively. Bar charts show means and error bars represent S.E.M. from N = 3 independent experiements, unless otherwise stated. P-values calculated by unpaired two-tailed t-test (a,f,g). *p < 0.05, **p < 0.01. Unprocessed western blots, numerical data and exact p-values are available in the Source Data.

Source data

WM983B cells display enhanced Rho-ROCK1/2-driven myosin II (MLC2) activity compared with WM983A cells6,7,9 (Extended Data Fig. 2d). Actomyosin contractility promotes migration under confinement35,36, NE blebbing and rupturing25,26,31. We reasoned that higher Rho-ROCK1/2-driven MLC2 activity and higher actomyosin contractility could contribute to both generation of NE blebs and enhanced migration of WM983B cells over WM983A cells. We treated cells with the ROCK1/2 inhibitor (ROCKi) GSK269962A and challenged them to one-round and two-round transwell assays. We confirmed that MLC2 activity was reduced after ROCK1/2 inhibition (Extended Data Fig. 2d,e) and found that ROCK1/2 inhibition reduced blebbing, but did not reduce nuclear translocation of WM983B cells during the first round of migration (Fig. 1g,h). However, ROCK1/2 inhibition markedly impaired nuclear translocation and reduced NE blebbing during the second round through 8 μm (Extended Data Fig. 2f,g) and 5 μm pores (Fig. 1i,j). We found that, after passage through the first challenge, WM983B, but not WM983A, cells displayed higher MLC2 activity (Fig. 1k), suggesting that passage through the first constraint activates a Rho-ROCK1/2-dependent migration programme specifically in metastatic melanoma cells.

The NE of metastatic melanoma cells is dynamic

We hypothesized that melanoma cells that had previously negotiated multiple constraints during metastasis in vivo may have retained a nuclear mechanical memory. In unconfined cells, we found that 30% of WM983B cells displayed NE blebs compared with only 5% of WM983A cells (Fig. 2a). WM983B cells displayed more NE blebs per nucleus and higher bleb phenotypical variability (Fig. 2b,c). We observed NE blebs in only 1% of melanocytes (Extended Data Fig. 3a,b). When grown on collagen I, WM983B cells were more rounded and harboured higher MLC2 phosphorylation levels than WM983A cells (Extended Data Fig. 3c–e,i). We obtained similar results with another melanoma cell line pair (highly metastatic and highly amoeboid A375M2 cells and less metastatic and less amoeboid A375P cells6,9,38; Extended Data Fig. 3f–i). Under these conditions, 20% of WM983B cells displayed NE blebs compared with 10% of WM983A cells and 40% of A375M2 cells showed NE blebs compared with 10% of A375P cells (Extended Data Fig. 3j–l).

Fig. 2. The NE of metastatic melanoma cells is highly dynamic.

Fig. 2

a, Percentage of primary melanoma WM983A and metastatic melanoma WM983B cells grown in 2D displaying NE blebs. b, Representative images of WM983B nuclei with NE blebs of different shapes stained for Lamin A/C (magenta) and DNA (blue). Scale bars, 10 μm. c, Percentage of nuclei with NE blebs according to bleb number per nucleus and bleb shape in WM983A and WM983B cells. n = 434 and 561 cells, respectively. d, Percentage of NE blebs containing Lamin A/C, Lamin B1 or Lamin B2 in WM983A and WM983B cells. n = 605 and 510 cells, respectively. e, Representative images of a WM983B nucleus with an NE bleb stained for Lamin A/C (green), Lamin B1 (magenta) and DNA (blue). Scale bar, 10 μm. f, Representative live-cell image sequence of WM983B GFP-NLS nuclei with an intact NE bleb (left) and a ruptured NE bleb (right) with correlative serial block-face scanning electron microscopy (SBF-SEM) images of the same nuclei. The white arrow indicates the site of rupture of the nuclear membranes. Scale bar, 5 μm. g, Percentage of intact and ruptured NE blebs in WM983A and WM983B cells imaged over the course of 15 h. n = 486 and 453 cells, respectively. h, Percentage of intact and ruptured NE blebs in WM983A (n = 486 and 522 cells, respectively) and WM983B (n = 453 and 560 cells, respectively) cells stably expressing GFP-NLS after treatment with GSK269962A and imaged over the course of 15 h. i, Duration of NE rupture in WM983A and WM983B cells stably expressing GFP-NLS and imaged live (not significant (NS), P = 0.8389). j, NE rupture events per hour in WM983A and WM983B stably expressing GFP-NLS and imaged live. n = 486 and 453 cells, respectively. In a, c, d, g and h, bar charts show the mean and error bars represent s.e.m. from N = 3 independent experiments. In i and j, horizontal lines show the median and whiskers show minimum and maximum range of values. P values calculated by two-way ANOVA (c, d, g and h) and two-tailed unpaired t-test (a, i and j); *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

Extended Data Fig. 3. Cell and nuclear morphology changes in melanoma progression.

Extended Data Fig. 3

(a) Percentage of nuclei with nuclear envelope blebs in M206 melanocytes. n = 120 cells. N = 1. (b) Representative image of M206 melanocytes stained for lamin A/C (magenta) and DNA (blue). Scale bars, 30 μm. The magnification shows a M206 nucleus with a nuclear envelope bleb. Scale bar, 10 μm. (c-e) Cell roundness index (c), percentage of elongated and rounded cells (d) and pMLC2 levels (e) in primary melanoma WM983A cells and metastatic melanoma WM983B cells grown on collagen I. n = 375 and 425 cells, respectively. (f-h) Cell roundness index (f), percentage of elongated and rounded cells (g) and pMLC2 levels (h) in less metastatic melanoma A375P cells and highly metastatic melanoma A375M2 cells grown on collagen I. n = 385 and 381 cells, respectively. (i) Representative images of WM983A, WM983B, A375P and A375M2 cells stained for pMLC2 (green), actin (magenta) and DNA (blue) on collagen I. Scale bars, 30 μm. The magnifications show representative cells and in the magnification the scale bars are 10 μm. (j) Percentage of nuclei with nuclear envelope blebs in WM983A and WM983B cells grown on collagen I. n = 337 and 373 cells, respectively. (k) Percentage of nuclei with nuclear envelope blebs in A375P and A375M2 cells grown on collagen I. n = 335 and 331 cells, respectively. (l) Representative images of WM983A, WM983B, A375P and A375M2 cells stained for lamin A/C (green), actin (magenta) and DNA (blue) on collagen I. Scale bars 30 μm. In a,d,g,j,k Bar charts show the mean and error bars represent SEM from N = 3 independent experiments. In c,e,f,h horizontal lines show the median and whiskers show minimum and maximum range of values. p values calculated by two-way ANOVA (d,g) and unpaired two-tailed t-test (c,e,f,h,j,k); **p < 0.01, ***p < 0.001, ****p < 0.0001. Numerical data and exact p-values are available in the Source Data.

Source data

NE blebs form at regions of the NE with compromised structural integrity19,20,22,24,25. We found that about 90% of NE blebs present weak B-type lamin staining but persistent Lamin A/C staining (Fig. 2d,e). Chromatin was found in NE blebs and while blebs were positive for markers of double-strand DNA breaks (Extended Data Fig. 4a,b), overall levels of DNA damage in the culture were not increased (Extended Data Fig. 4c). We found using correlative light and electron microscopy (CLEM) that NE blebs could either be intact or ruptured where nuclear membranes peeled away from the underlying lamina of the bleb with concomitant leakage of GFP-NLS into the cytosol (Fig. 2f and Supplementary Videos 14). WM983B cells exhibited more ruptured NE blebs than WM983A cells (Fig. 2g). NE ruptures were abrogated by ROCK inhibition (Fig. 2h), implicating actomyosin contractility in their biogenesis and rupture. Cells reseal their ruptured NE blebs via ESCRT-III-dependent repair24,25. We found that the average NE repair time was 10 min in both WM983A and WM983B cells (Fig. 2i); however, the rupture rate for WM983B cells was higher than in WM983A cells, with up to one event per hour (Fig. 2j, Extended Data Fig. 4d,e and Supplementary Videos 5 and 6). These results suggest that metastatic melanoma cells have a higher background level of NE instability.

Extended Data Fig. 4. Instability of nuclear envelope blebs in melanoma cells.

Extended Data Fig. 4

(a) Percentage of nuclear envelope blebs positive for DNA damage response markers (53BP1 and γ-H2AX) in primary melanoma WM983A cells and metastatic melanoma WM983B cells. N = 2. (b) Representative pictures of a WM983B nucleus stained for γ-H2AX (green), 53BP1 (magenta) and DNA (blue). Scale bars, 10 μm. (c) Relative γ-H2AX and 53BP1 fluorescence intensity levels (left) and average γ-H2AX and 53BP1 foci per nucleus (right) in WM983A and WM983B cells with or without nuclear envelope blebs. n = 246 and 283 cells, respectively. (d,e) Representative image sequence from repetitive, transient nuclear envelope rupture events in WM983A cells (d) or WM983B cells (e) stably expressing GFP-NLS and imaged over 5 hours. Images showing the first frame of a nuclear envelope rupture in (d) or (e) are surrounded by a magenta square. Scale bars, 10 μm. Numerical data are available in the Source Data.

Source data

TOR1AIP1 is upregulated in metastatic melanoma cells

As the degree of NE blebbing and migratory ability correlated with melanoma progression (Fig. 1 and Extended Data Figs. 1 and 3), we compared transcriptomes of A375M2 cells with A375P cells5,7,9,10 using gene set enrichment analysis (GSEA) and focusing on genes encoding nuclear proteins (Extended Data Fig. 5a). Sixty-three per cent of the gene sets containing genes encoding nuclear proteins were upregulated in A375M2 cells relative to A375P cells (false discovery rate (FDR) <5%) compared with only 1% in A375P cells relative to A375M2 cells (Extended Data Fig. 5b). About one-third of upregulated gene sets in A375M2 cells were related to the nuclear membrane and organelle organization (Extended Data Fig. 5b and Supplementary Tables 112). Leading-edge analysis39 allowed us to identify a cluster of overlapping upregulated genes across NE gene sets (Extended Data Fig. 5c), and a final list of seven candidate genes showing statistically significant upregulation was compiled (Extended Data Fig. 5e). Comparing transcriptomes of A375M2 cells with A375M2 cells treated with actomyosin contractility inhibitors (ROCK1/2 inhibitors H1152 or Y27632 or myosin II inhibitor blebbistatin) revealed similar gene expression changes (Extended Data Fig. 5d,e). Candidate gene upregulation in A375M2 cells compared with A375P cells was confirmed by quantitative real-time polymerase chain reaction (RT–qPCR). While all the genes were upregulated in A375M2 cells, OSBPL8, SUMO1 and TOR1AIP1 achieved statistical significance (Fig. 3a). We confirmed statistically significant upregulation of TOR1AIP1 by RT–qPCR in WM983B cells compared with WM983A cells (Fig. 3b).

Extended Data Fig. 5. Transcriptomics reveals TOR1AIP1 upregulation in metastatic melanoma cells.

Extended Data Fig. 5

(a) Flow diagram of GSEA carried out comparing highly amoeboid and highly metastatic melanoma A375M2 cells with less amoeboid and less metastatic melanoma A375P cells from data of gene expression microarray analysis. (b) The upper pie charts show the distribution of upregulated and downregulated nuclear gene sets in A375M2 cells (left) and A375P cells (right). The lower pie chart shows the 12 most enriched GO gene set categories in A375M2. (c) Section of heatmap of the leading-edge analysis showing a cluster of upregulated nuclear envelope genes in A375M2 cells. (d) Flow diagram of the GSEA carried out comparing A375M2 cells with A375M2 cells treated with contractility inhibitors (ROCK inhibitors H1152 or Y27632 or myosin inhibitor blebbistatin) (A375M2_inh). The graphs show the distribution of upregulated and downregulated nuclear gene sets in A375M2 cells (left) and A375M2_inh (right). (e) Upregulated nuclear envelope genes selected from leading-edge analysis with their log2 fold change in expression and statistical significance in A375M2 compared to A375P cells and in A375M2 compared to A375M2_inh. Statistically significant upregulated genes appear in bold in the table. P-values calculated by two-tailed unpaired t-test.

Source data

Fig. 3. TOR1AIP1 is upregulated in metastatic melanoma cells.

Fig. 3

a, Fold regulation of candidate genes expression validated by RT–qPCR in A375M2 compared with A375P. b, Fold regulation of OSBPL8, TOR1AIP1 and SUMO1 expression validated by RT–qPCR in metastatic melanoma WM983B cells compared with primary melanoma WM983A cells. c, Heat maps displaying fold change in expression of candidate genes in melanoma cell lines compared with melanocytes from Philadelphia and Mannheim datasets. d, TOR1AIP1 expression in primary tumours and metastasis in Kabbarah (n = 31 and 73, respectively), Riker (n = 14 and 40, respectively) and Xu (n = 31 and 52, respectively) melanoma patient datasets. Experimental data have been pooled from three individual experiments. In a and b, bar charts show the mean and error bars represent s.e.m. from N = 3 independent experiments. In d, horizontal lines show the median and whiskers show minimum and maximum range of values. P values calculated by two-tailed unpaired t-test (ad); *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

Expression of these genes was analysed in two publicly available datasets (Philadelphia and Mannheim40) containing transcriptomic profiles of melanoma cell lines compared with melanocytes. In both cases, upregulation of our candidate genes was observed in melanoma lines (Fig. 3c). Furthermore, using publicly available patient datasets (Kabbarah41, Riker42 and Xu43), we found that TOR1AIP1 messenger RNA levels were consistently upregulated in human samples obtained from metastatic melanoma lesions compared with primary melanoma (Fig. 3d). These data suggest that expression of TOR1AIP1 is upregulated during melanoma progression.

LAP1 enables repeated constrained migration and invasion

Human cells express two isoforms of the protein encoded by TOR1AIP1, LAP1, that differ in the length of their amino terminus (NT); a long isoform, LAP1B, and a shorter isoform, LAP1C, generated by use of an alternative translation initiation codon at position 122 (refs. 44, 45) (Fig. 4a). Consistent with our transcriptomic analyses, we found that both LAP1B and LAP1C were upregulated in metastatic melanoma cells relative to melanocytes and primary melanoma cells (Fig. 4b,c).

Fig. 4. LAP1 enables repeated constrained migration and invasion.

Fig. 4

a, Schematic of TOR1AIP1 human gene transcription and translation. The gene comprises ten exons and encodes a long protein isoform (584 amino acids), LAP1B, and a short protein isoform (462 amino acids), LAP1C, resulting from the use of an alternative translation initiation site at position 122. b, Representative immunoblot of LAP1 expression levels in the indicated melanocytes, primary melanoma cells and metastatic melanoma cells. c, Quantification of LAP1B and LAP1C protein expression in panel of cell lines in b, normalized to GAPDH. d, Representative immunoblot of LAP1 expression levels in WM983B cells upon transfection with pooled LAP1-targeting siRNA. e,f, Percentage of WM983B cells that translocated their nuclei (e) and displayed NE blebs (f) after a second round of transwell migration through 5 μm pores upon LAP1 depletion with siRNA pool. n = 872 and 705 cells, respectively. g,h, 3D invasion index (number of invading cells at 50 μm/total number of cells) of WM983B cells in 3D collagen I matrices upon LAP1 depletion with siRNA pool. Representative images of WM983B cells stained for DNA at 0 μm and 50 μm into collagen upon LAP1 depletion with siRNA pool. Scale bars, 30 μm. n = 673 and 539 cells, respectively. Bar charts show the mean and error bars represent s.e.m. from N = 3 independent experiments. P values calculated by two-tailed unpaired t-test (eg); **P < 0.01, ***P < 0.001. Unprocessed western blots, numerical data and exact P values are available in source data.

Source data

We took a loss-of-function approach to understand whether LAP1 contributes to NE blebbing and enhanced migration of WM983B cells. While LAP1 isoforms were relatively resistant to short interfering RNA (siRNA) depletion, we could reduce expression of LAP1 isoforms in WM983B cells, approximating levels observed in WM983A cells (Fig. 4d and Extended Data Fig. 6a). We performed two-round transwell migration assays and discovered that reducing LAP1 levels in WM983B cells suppressed both second-round migration efficiency and NE blebbing (Fig. 4e,f), without affecting cell viability (Extended Data Fig. 6b). We confirmed these results using two independent LAP1 siRNAs (Extended Data Fig. 6c–f) and found that reduced LAP1 expression levels decreased the ability of WM983B cells to invade into 3D collagen I matrices (Fig. 4g,h). Overall, these data suggest that, as well as supporting NE-bleb generation, LAP1 allows metastatic melanoma cells to negotiate migratory constraints in the microenvironment.

Extended Data Fig. 6. Impact of LAP1 expression levels on metastatic melanoma cells.

Extended Data Fig. 6

(a) Quantification of LAP1B (left) and LAP1C (right) expression in metastatic melanoma WM983B cells after 48 hours of treatment with a siGENOME SMARTpool targeting LAP1. (b) Percentage of alive WM983B cells after a first round of transwell migration upon LAP1 depletion with a siGENOME SMARTpool. (c) Representative immunoblot for LAP1 expression levels in WM983B cells after 48 hours of LAP1 depletion with ON-TARGETplus individual siRNAs. Western blot was probed with anti-GAPDH and anti-LAP1 antisera (d) Quantification of LAP1B (left) and LAP1C (right) expression in WM983B cells after 48 hours of LAP1 depletion with ON-TARGETplus individual siRNAs as in (c). (e,f) Percentage of WM983B cells that translocated their nuclei (e) and displayed nuclear envelope blebs (f) after a second round of transwell migration through 5-μm pores upon LAP1 depletion with ON-TARGETplus individual siRNAs. n = 772, 632 and 590 cells, respectively. Bar charts show the mean and error bars represent S.E.M. from N = 3 independent experiments. P-values calculated by one-way ANOVA (d,e,f) and unpaired two-tailed t-test (a,b); *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Unprocessed western blots, numerical data and exact p-values are available in the Source Data.

Source data

LAP1B and LAP1C are differentially tethered to nuclear lamins

We next set out to understand if LAP1 isoforms play different roles in NE blebbing and migration based on the distinct length of their NTs. We carried out a solubilization assay and, in agreement with others44,46,47, found that LAP1C was readily released from the nucleus of melanoma cells, whereas LAP1B was only released when the nuclear lamina was solubilized (Extended Data Fig. 7a). The NT of LAP1 interacts with Lamins46, and two distinct lamin-binding regions in LAP1’s NT have been described: 1–72 (present in the unique region of LAP1B) and 184–337 (present in both LAP1B and LAP1C)48 (Extended Data Fig. 7b). Solubilizing INM proteins for immunoprecipitation while retaining native interactions is challenging. We instead employed a mitochondrial retargeting assay and co-expressed mEmerald-Lamin A/C or mEmerald-Lamin B1 with LAP1 N-termini fused to HA and the mitochondrial targeting sequence from monoamine oxygenase49. We found that mitochondria displaying HA-LAP1BNT or HA-LAP1B1–121, but not HA-LAP1CNT, were recruited to the nuclear periphery in cells expressing mEmerald-Lamin B1 or mEmerald-Lamin A/C (Extended Data Fig. 7c,d). We next examined the ability of mitochondria displaying HA-LAP1 N-termini to differentially recruit mEmerald-Lamins. We found that mitochondria displaying HA-LAP1BNT and HA-LAP1B1–121, but not HA-LAP1CNT, could recruit mEmerald-Lamin B1, but not mEmerald-Lamin A/C (Extended Data Fig. 7c,d), suggesting that the unique NT of LAP1B encodes a dominant lamin-binding domain displaying preference for B-type lamins. We observed that LAP1B-mRuby3, like mEmerald-Lamin B1, was largely excluded from NE blebs, whereas both LAP1C-mRuby3 and mEmerald-Lamin A/C were readily detectable in NE blebs (Extended Data Fig. 8a,b). In addition, NE blebs with LAP1C also contained nucleoplasm, chromatin and Emerin but not nuclear pore complexes (Extended Data Fig. 8c,d). We used RNA interference (RNAi) to deplete individual nuclear lamins and found that endogenous LAP1 localized to NE blebs in the absence of Lamin B1 or Lamin B2, but not in the absence of Lamin A/C (Extended Data Fig. 8e–g). Lastly, using fluorescence recovery after photobleaching (FRAP), we found that LAP1C-mRuby3 was more mobile than LAP1B-GFP both at the main NE and in NE blebs (Extended Data Fig. 8h–j and Supplementary Videos 79), in agreement with previous studies in other systems48. We suggest that LAP1C can move more freely in the INM than LAP1B and can populate NE blebs in a Lamin A/C-dependent manner.

Extended Data Fig. 7. LAP1B and LAP1C are differentially tethered to nuclear lamins.

Extended Data Fig. 7

(a) Resolved soluble (S) and insoluble (P) fractions from WM983B cells subject to the indicated extractions were examined by western blotting with antisera raised against LAP1, GAPDH or Lamin B1. Western blot representative of N = 2 independent experiments. (b) Schematic of the different N-terminal domains of LAP1 isoforms and cartoon illustrating the mitochondrial retargeting assay. (c) Representative images of mitochondrial retargeting assay in cells expressing mEmerald-Lamin A/C (left) or mEmerald-Lamin B1 (right) and stained for HA (magenta) and DNA (blue). Scale bars, 10 μm. (d) Percentage of cells showing co-localisation of mEmerald-Lamin A/C (left, n = 210, 211 and 190 cells, respectively) or mEmerald-Lamin B1 (right, n = 211, 199 and 183 cells, respectively) with LAP1BNT/ LAP1B1–121/LAP1CNT. Bar charts show the mean and error bars represent S.E.M. from N = 3 independent experiments. P-values calculated by one-way ANOVA (d); *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Unprocessed western blots and numerical data are available in the Source Data.

Source data

Extended Data Fig. 8. Lamin-binding properties of LAP1 isoforms.

Extended Data Fig. 8

(a) WM983B cells stably expressing LAP1B-mRuby3 or LAP1C-mRuby3, transfected with mEmerald-lamin A/C or mEmerald-lamin B1, stained with SiR-DNA and displaying nuclear envelope blebs. Scale bars, 10 μm. (b) Levels of LAP1B-mRuby3, LAP1C-mRuby3, mEmerald-Lamin A/C and mEmerald-Lamin B1 in the main nucleus and in NE blebs of WM983B cells stably expressing the indicated LAP1-mRuby proteins. n = 43, 63, 30 and 42, respectively. (c) WM983A cells stably expressing LAP1C-mRuby3 and stained for Emerin and DNA (top) or NPCs (bottom). NE blebs indicated by arrowhead. Scale bars, 10 μm (d) Quantification of data from (c). n = 671 and 605 for anti-Emerin and anti-NPC staining, respectively. (e) Representative immunoblots for lamin A/C, LAP1, lamin B1 and lamin B2 expression levels in WM983B cells after 72 hours of siRNA depletion of lamin A/C, lamin B1 or lamin B2 with siGENOME SMARTpools. (f) Representative pictures of WM983B stably expressing GFP-NLS (green) and stained for endogenous LAP1 (magenta) and DNA (blue) and transfected with the indicated siRNA. NE blebs without LAP1 staining indicated by arrowhead. Scale bars, 10 μm. (g) Percentage of nuclear envelope blebs containing LAP1 upon depletion of lamin A/C, lamin B1 or lamin B2 with siGENOME SMARTpools in WM983B cells. (h-j) FRAP analysis of LAP1 isoforms at the main nuclear envelope (h) and at nuclear envelope blebs (i) in metastatic melanoma WM983B cells stably co-expressing LAP1B-GFP and LAP1C-mRuby3. n = 26 cells. (j) Representative images from h and i. Scale bars, 5 μm. White arrowheads indicate bleaching at the main nuclear envelope and at the nuclear envelope bleb. In b,d,g, graphs show the mean and error bars represent S.E.M. from N = 3 independent experiments. In i,j graphs show the mean and error bars represent S.D. P-values calculated by one-way ANOVA (g); *p < 0.05, ****p < 0.0001. Numerical data and exact p-values are available in the Source Data.

Source data

LAP1C supports constrained migration and invasion

We next wondered whether LAP1 isoforms made a differential contribution to constrained cell migration and invasion. We generated WM983A cells stably expressing GFP-NLS and both LAP1 isoforms (LAP1-mRuby3), LAP1B-mRuby3 or LAP1C-mRuby3 (Extended Data Fig. 9a) and performed two-round transwell migration assays. We found that expression of either LAP1-mRuby3 or LAP1C-mRuby3, but not expression of LAP1B-mRuby3, increased both NE blebbing and migration efficiency of WM983A cells (Fig. 5a,b). We confirmed these results using A375P cells (Extended Data Fig. 9b,c). We found that expression of LAP1-mRuby3 and LAP1C-mRuby3, but not LAP1B-mRuby3, promoted invasion of WM983A cells into 3D collagen I matrices (Fig. 5c,d). We concluded that expression of LAP1C permits NE blebbing and facilitates constrained migration and invasion.

Extended Data Fig. 9. Effects of LAP1 overexpression in vitro.

Extended Data Fig. 9

(a) Representative immunoblot for LAP1 expression levels in primary melanoma WM983A cells stably expressing GFP-NLS and LAP1C-mRuby3, LAP1B-mRuby3 (LAP1 M122A) or LAP1-mRuby3, related to Fig. 5a–d. (b, c) Percentage of less metastatic A375P cells stably expressing GFP-NLS, A375P stably expressing GFP-NLS and LAP1-mRuby3, LAP1B-mRuby3 or LAP1C-mRuby3 that translocated their nuclei (b) and displayed nuclear envelope blebs (c) after a second round of transwell migration through 5-μm pores. n = 374, 316, 344 and 439 cells, respectively. (d, e) Percentage of less metastatic melanoma A375P cells stably expressing GFP-NLS and LAP1B-mRuby3, LAP1BΔ1-72-mRuby3, LAP1BΔCBR-mRuby3 or LAP1BR563G-mRuby3 that translocated their nuclei (d) and displayed nuclear envelope blebs (e) after a second round of transwell migration through 5-μm pores. n = 344, 412, 273, and 317 cells, respectively. (f, g) Percentage of primary melanoma WM983A cells stably expressing GFP-NLS and LAP1B-mRuby3 or LAP1BΔ1-72-mRuby3, or siRNA resistant LAP1B-mRuby3 (LAP1BR-mRuby3), LAP1BΔ1-72-mRuby3 (LAP1BΔ1-72R-mRuby3) or LAP1BΔCBR-mRuby3 that translocated their nuclei (f) and displayed nuclear envelope blebs (g) after a second round of transwell migration through 5-μm pores upon treatment with LAP1 siRNA#1. n = 322, 269, 305, 357, 368, 363, 400, 369, 372 and 375 cells, respectively. Note, OnTarget LAP1 siRNA#1 targets a sequence present within the CBR of LAP1. (h, i) Percentage of WM983A cells stably expressing GFP-NLS and LAP1C-mRuby3 or LAP1CR441G-mRuby3 that translocated their nuclei (h) and displayed nuclear envelope blebs (i) after a second round of transwell migration through 5-μm pores. n = 418 and 388 cells, respectively. Graphs show the mean and error bars represent S.E.M. from N = 3 independent experiments. P-values calculated by one-way ANOVA (b-g) and two-tailed t-test (h, i; n.s.), *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Unprocessed western blots, numerical data and exact p-values are available in the Source Data.

Source data

Fig. 5. LAP1C supports constrained migration and invasion.

Fig. 5

a,b, Percentage of primary melanoma WM983A cells stably expressing GFP-NLS alone or WM983A cells stably expressing GFP-NLS and LAP1C-mRuby3, LAP1B-mRuby3 or LAP1-mRuby3 and metastatic melanoma WM983B cells stably expressing GFP-NLS that translocated their nuclei (a) and displayed NE blebs (b) after a second round of transwell migration through 5 μm pores. n = 668, 694, 592, 722 and 633 cells, respectively. c,d, Representative images of WM983A GFP-NLS, WM983A GFP-NLS LAP1-mRuby3, WM983A GFP-NLS LAP1B-mRuby3 or WM983A GFP-NLS LAP1C-mRuby3 cells invading into collagen I matrices and stained for DNA at Z = 0 μm and Z = 50 μm (c) and 3D invasion index from c (d). Scale bars, 30 μm. n = 545, 609, 462 and 619 cells, respectively. e, Schematic of LAP1B lacking the arginine finger (LAP1BR563G), LAP1B lacking lamin-binding region 1–72 (LAP1BΔ1-72), LAP1B lacking its chromatin-binding region (LAP1BΔCBR) and LAP1C and LBR-fusions to LAP1C’s N-terminus. f,g, Percentage of WM983A cells stably expressing GFP-NLS and LAP1B-mRuby3, LAP1BΔ1-72-mRuby3, LAP1BΔCBR-mRuby3 or LAP1BR563G-mRuby3 that translocated their nuclei (f) and displayed NE blebs (g) after a second round of transwell migration through 5 μm pores. n = 518, 678, 545 and 704 cells, respectively. h,i, Representative images of WM983A GFP-NLS LAP1B-mRuby3, WM983A GFP-NLS LAP1BΔ1-72-mRuby3, WM983A GFP-NLS LAP1BΔCBR-mRuby3 and WM983A GFP-NLS LAP1BR563G-mRuby3 cells invading into collagen I matrices and stained for DNA at Z = 0 μm and Z = 50 μm into collagen (h) and 3D invasion index for h (i). Scale bars, 30 μm. n = 462. j,k, Percentage of primary melanoma WM983A cells stably expressing GFP-NLS and LAP1C-mRuby3, LBRNT-LAP1C-mRuby3 or LBRTRS-LAP1C-mRuby3 that translocated their nuclei (j) and displayed NE blebs (k) after a second round of transwell migration through 5 μm pores. n = 418, 402 and 385, respectively. l,m, Representative images of WM983A GFP-NLS LAP1C-mRuby3, WM983A GFP-NLS LBRNT-LAP1C-mRuby3 and WM983A GFP-NLS LBRTRS-LAP1C-mRuby3 cells invading into collagen I matrices and stained for DNA at Z = 0 μm and Z = 50 μm into collagen (l) and 3D invasion index for l (m), n = 918, 780 and 736, respectively. Scale bars, 30 μm. Bar charts show the mean and error bars represent s.e.m. from N = 3 independent experiements. P values calculated by one-way ANOVA; *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

We investigated two factors that could influence the opposite roles of LAP1 isoforms: NE/lamina tethering and LAP1’s interplay with the ER-luminal AAA-ATPase, Torsin-1A5052. We generated versions of LAP1B lacking either the dominant lamin-binding domain (LAP1BΔ1-72-mRuby3) or the chromatin-binding region (CBR, LAP1BΔCBR-mRuby3). To enhance NE/lamina tethering, we created versions of LAP1C fused to the whole (LBRNT-LAP1C-mRuby3) or part (LBRTRS-LAP1C-mRuby3) of the Lamin B Receptor’s (LBR) NT. We also created versions of LAP1 lacking the arginine finger thought to be required for Torsin-1A activation (LAP1BR563G-mRuby3 and LAP1CR441G-mRuby3)50,51 (Fig. 5e). Expression of LAP1BΔ1-72-mRuby3 or LAP1BR563G-mRuby3 enhanced NE blebbing and migration of both WM983A and A375P cells in two-round transwell assays (Fig. 5f,g and Extended Data Fig. 9d,e), although expression of LAP1BΔCBR-mRuby3 only increased NE blebbing and migration of WM983A cells (Fig. 5f,g and Extended Data Fig. 9d,e). We confirmed that expression of RNAi-resistant versions of LAP1BΔ1-72-mRuby3 or LAP1BΔCBR-mRuby3 in a background of LAP1-depletion allowed WM983A cells to generate NE blebs and migrate efficiently through a second constraint (Extended Data Fig. 9f,g). In line with our transwell migration results, we found that expression of LAP1C-mRuby3, LAP1BΔ1-72-mRuby3 or LAP1BR563G-mRuby3 enhanced invasion of WM983A cells into collagen I (Fig. 5h,i). Conversely, expression of LBRNT-LAP1C-mRuby3 or LBRTRS-LAP1C-mRuby3 did not enhance NE blebbing and constrained migration of WM983A cells (Fig. 5j,k) and restricted their invasion into collagen I (Fig. 5l,m). Interestingly, LAP1CR441G-mRuby3 behaved similarly to LAP1C-mRuby3 in its ability to support NE blebbing and constrained migration, suggesting that the strength of the NE/lamina tether is important in controlling Torsin activation (Extended Data Fig. 9h,i). We suggest that the strong NE/lamina tethering provided by LAP1B and its activation of Torsin-1A do not allow NE blebbing and constrained migration, whereas the weaker NE/lamina tethering provided by LAP1C allows NE blebbing and lets cells negotiate physical constraints.

LAP1C promotes invasion in vivo

We hypothesized that LAP1 could contribute to the metastatic cascade by supporting local invasion into the dermis. We used orthotopic melanoma models where WM983A, WM983B, A375P or A375M2 cells were injected into the dermis of NOD Xenograft Gamma (NXG) and allowed to grow and invade the local tissue. In these models, we observe three defined regions: tumour body (TB), proximal invasive front (PIF) and distal invasive front (DIF)9. We found that the metastatic lines invaded into the dermis more than their less metastatic or non-metastatic counterparts. Moreover, A375M2 were not only more invasive but also grew faster in vivo, highlighting the aggressiveness of this model (Fig. 6a–d and Extended Data Fig. 10a–f). Using digital pathology, we scored LAP1 intensity from 0 (very low) to 3 (very high) in individual tumour cell nuclei and observed that LAP1 expression was higher at the PIF compared with the TB and at the DIF compared with the PIF of these tumours (Fig. 6e–h). Moreover, across the PIF and DIF, WM983B and A375M2 tumours presented a higher proportion of cancer cells expressing very high levels of LAP1 compared with WM983A and A375P, respectively (Fig. 6f,h). Tumours grown in severe combined immunodeficient (SCID) mice after subcutaneous injection retained a similar LAP1 expression pattern (Extended Data Fig. 10g–j), indicating that LAP1 is associated with aggressive features even when tumours grow outside the dermal environment.

Fig. 6. LAP1C promotes invasion in vivo.

Fig. 6

a,b, Representative images and QuPath mark-up (map) of haematoxylin and eosin (HE) staining (a) and quantification of invading cells into the dermis (b) from day 42 WM983A and WM983B tumours grown in NXG mice. Dashed lines represent the boundary between PIF and DIF. HE-positive tumour cells are in red in the map. n = 16 and 16 tumours, respectively. c,d, Representative images and QuPath mark-up of HE staining (c) and quantification of invading cells into the dermis (d) from day 24 and day 36 A375P tumours and day 24 A375M2 tumours grown in NXG mice (d). n = 8, 8 and 16 tumours, respectively. e,f, Representative images (e) and percentage of tumour cell nuclei according to LAP1 intensity score in TB, PIF and DIF (f) of day 42 WM983A and WM983B tumours. n = 16 and 15 tumours, respectively. g,h, Representative images (g) and percentage of tumour cell nuclei according to LAP1 intensity score in TB, PIF and DIF (h) of day 24 and day 36 A375P tumours and day 24 A375M2 tumours. n = 8, 8 and 16 tumours, respectively. ik Representative and QuPath mark-up of HE staining (i), quantification of invading cells into the dermis (j) and tumour growth curves (k) of A375P GFP-NLS LAP1B-mRuby3, A375P GFP-NLS LAP1BΔ1-72-mRuby3, A375P GFP-NLS LAP1BR563G-mRuby3, A375P GFP-NLS LAP1C-mRuby3 and A375M2 GFP-NLS tumours grown intradermally in NXG mice. n = 10 tumours per condition. In IHC panels, scale bars are 50 μm. In b, d and j, horizontal lines show the median and whiskers show minimum and maximum range of values. In k, graphs show the mean and error bars represent s.d. P values calculated by one-way ANOVA (d and j), two-way ANOVA (f and h) and two-tailed unpaired t-test (b). In f and h, significant P values shown are for LAP1 score 3. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

Extended Data Fig. 10. Effects of LAP1 overexpression in vivo.

Extended Data Fig. 10

(a, b) Growth curves of WM983A, WM983B, A375P or A375M2 tumours grown intradermally in NXG mice. A375P endpoints considered at same-time and same-volume as A375M2. (c) Representative images and QuPath mark-up (map, red) of SOX10 staining and (d) quantification of dermal invasion in Day 42 WM983A and WM983B tumours grown intradermally in NXG mice. Dashed lines represent the boundary between proximal invasive front (PIF) and the distal invasive front (DIF). n = 8 and 8 mice, respectively. (e) Representative images and QuPath mark-up (map, red) of CITED1 staining and (f) quantification of dermal invading cells in Day 24 and Day 36 A375P tumours and Day 24 A375M2 tumours grown in NXG mice. n = 4, 4 and 8 mice, respectively. (g-j) Representative images (g,i) and percentage of tumour cell nuclei according to LAP1 intensity score (h,j) in the tumour body (TB) and invasive front (IF) of Day 55 WM983A (n = 8) and WM983B (n = 4) tumours (g,h) or in TB and IF of Day 33 A375P tumours (n = 8) and Day 33 A375M2 tumours (n = 8) grown subcutaneously in SCID mice. Significant p values shown for LAP1 score ‘3’. (k) Representative images and QuPath mark-up of GFP-NLS staining (map, red), (l) quantification of dermal invasion in Day 28 intradermal tumours (n = 10 in all conditions) and (m) in-vitro proliferation curves of A375P cells stably expressing GFP-NLS LAP1B-mRuby3, GFP-NLS LAP1BΔ1-72-mRuby3, GFP-NLS LAP1BR563G-mRuby3, GFP-NLS LAP1C-mRuby3 and A375M2 GFP-NLS cells. n = 10 tumours per condition. In d, f, l, horizontal lines show the median and whiskers show minimum and maximum. P-values calculated by one-way ANOVA (f,l), two-way ANOVA (h,j), and unpaired t-test (d). **p < 0.01, ***p < 0.001, ****p < 0.0001. Numerical data and exact p-values are available in the Source Data. In all cases, scale bars are 50 μm (10 μm in enlargements).

Source data

Next, A375P cells bearing versions of LAP1-mRuby3 were challenged for their invasive growth potential after intradermal injection and compared with A375M2, our model of aggressive disease. Expression of LAP1C-mRuby3, LAP1BΔ1-72-mRuby3 or LAP1BR563G-mRuby3 in A375P cells increased local invasion (Fig. 6i,j and Extended Data Fig. 10k,l), relative to A375P cells stably expressing LAP1B-mRuby3, as seen previously in our in vitro 3D invasion models (Fig. 5h,i). Increased invasion was accompanied by increased tumour growth in A375P LAP1BΔ1-72-mRuby3 or LAP1C-mRuby3 but not in LAP1BR563G-mRuby3 expressing tumours (Fig. 6k). Interestingly, as we had seen in vitro, expression of LAP1B-mRuby3 did not increase local invasion in vivo, while growth was comparable to that observed for A375M2 tumours (Fig. 6i–k and Extended Data Fig. 10k,l). No differences in proliferation were observed in vitro (Extended Data Fig. 10m), suggesting that these cancer cells establish different interactions with the tumour microenvironment for their differential growth in vivo. Overall, our data show that LAP1C supports tumour invasion both in vitro and in vivo.

LAP1 levels increase in human melanoma progression

Finally, we assessed LAP1 expression in tissue microarrays from two human melanoma patient cohorts (cohort A including 19 primary tumours and 14 metastases and cohort B with a total of 29 primary tumours and their matched metastases9) (Supplementary Tables 13 and 14). We found increased LAP1 expression at the invasive front (IF) compared with the TB of primary tumours and in metastatic lesions compared with primary tumours (Fig. 7a–f). We observed that tumour cells showing very high levels of LAP1 were enriched in metastases compared with primary melanomas (Fig. 7c,f). Importantly, we found that high LAP1 expression in the IF was associated with shorter disease-free survival (Fig. 7g), indicating that LAP1 levels are linked to worse prognosis. These results suggest that LAP1 could be a prognostic marker in melanoma.

Fig. 7. LAP1 levels increase in human melanoma progression.

Fig. 7

a, Representative images of TB and IF of a primary tumour and a metastasis in human melanoma patient cohort A. Scale bars, 50 μm. The magnifications show representative cell nuclei. Scale bars, 10 μm. b, H-score for LAP1 staining in TB and IF of primary tumours and metastases in cohort A by unpaired (left) or paired (right) analysis. c, Percentage of tumour cell nuclei according to LAP1 intensity score in TB and IF of primary tumours and metastases in patient cohort A. Significant P values shown are for LAP1 score 3. n = 19 primary tumours and 14 metastases. d, Representative images of TB and IF of a primary tumour and a metastasis in human melanoma patient cohort B. Scale bars, 50 μm. The magnifications show representative cell nuclei. Scale bars, 10 μm. e, H-score for LAP1 staining in TB and IF of primary tumours and metastases in patient cohort B by unpaired (left) or paired (right) analysis. f, Percentage of tumour cell nuclei according to LAP1 intensity score in TB and IF of primary tumours and metastases in patient cohort B. Significant P values shown are for LAP1 score 3. n = 29 primary tumours and 29 metastases. g, Kaplan–Meier survival curve of disease-free survival according to LAP1 expression in the IF from primary melanomas. LAP1 expression was categorized as low or high using the mean expression. n = 46 primary melanomas. h, Summary model. LAP1 levels are elevated at the IF of melanoma tumours, which are enriched in cells displaying amoeboid features like a rounded cell morphology, high levels of myosin II and NE blebs. LAP1C, but not LAP1B, can localize to NE blebs in a Lamin-A/C-dependent manner and promotes transit through physical constraints through its weaker N-terminal NE/lamina tethering allowing NE blebbing. In b and e, horizontal lines show the median and whiskers show minimum and maximum range of values. P values calculated by one-way ANOVA (b and e), two-way ANOVA (c and f), two-tailed unpaired and paired t-test (b and e) and log-rank test (g); *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Numerical data and exact P values are available in source data.

Source data

Discussion

Recent work recognizes the importance of the cell nucleus in mechanosensing during constrained migration53,54. Here we identify the INM protein LAP1 as a master regulator of NE remodelling during melanoma progression.

Unlike plasma membrane blebs30, NE blebs do not retract and can burst repeatedly and be resealed, allowing the dissipation of intranuclear pressure19,24,25. During constrained migration, NE blebs typically form at the leading edge of the nucleus through a combination of elevated intranuclear pressure, Nesprin-mediated pulling and actomyosin contractility, suggesting that a combination of external and internal forces acting on pliant membranes controls their biogenesis32. We found that the degree of NE blebbing and both migratory and invasive ability of melanoma cells correlated positively with the expression of LAP1. Of the two LAP1 isoforms encoded by TOR1AIP1, the short isoform (LAP1C) could be localized to and could support the biogenesis of NE blebs, suggesting a bleb-permissive LAP1C-phenotype may predominate in invasive melanoma with elevated levels of this protein. The biogenesis of these NE blebs was linked to the ability of cells to negotiate migratory constraints and was in part linked to the strength of the NE–lamina interaction. Unlike LAP1C, expression of LAP1B did not enhance NE bleb formation or the ability of cells to negotiate physical constraints, unless its strong N-terminal lamin-binding domain or its ability to activate Torsin-1A was removed. LAP1B’s N-terminal lamin-binding domain displayed a preference for Lamin B, and LAP1B and LAP1C’s distribution in relation to NE blebs followed that of Lamin B and Lamin A/C, respectively. These data suggest LAP1B may function to relay the less-deformable Lamin B environment to the activation state of Torsin-1A. LAP1C on the other hand, with its weaker NE/lamina tether, supports NE blebbing, migration and invasion both in vitro and in vivo, suggesting that competition between isoforms may regulate the local activity of Torsin-1A in the intermembrane space. We speculate that LAP1C recruitment to structurally compromised regions of the NE or to NE blebs could allow rapid NE bleb expansion facilitating the observed detachment of the nuclear membranes from herniated chromatin (Fig. 2f) and the release of actomyosin-driven intranuclear pressure31 (Fig. 7h).

In the light of our results, we propose that by fine tuning expression and localization of LAP1 isoforms at the NE, cells may alter their array of nucleo-cytoskeletal connections and Torsin activation to modulate nuclear plasticity and allow their negotiation of physical constraints. We found that LAP1 could be a prognostic marker in human melanoma and propose that a better understanding of LAP1 function would not only provide a route to prevent metastatic dissemination but also may guide research on normal or pathological cell states featured by perturbed nuclear membranes.

Methods

Compliance

This research complies with all relevant ethical regulations; all animals were maintained under specific-pathogen-free conditions and handled in accordance with the Institutional Committees on Animal Welfare of the UK Home Office (The Home Office Animals Scientific Procedures Act, 1986). All animal experiments were approved by the Ethical Review Process Committees at Barts Cancer Institute or King’s College London and carried out under license from the Home Office, UK. For human tumour material, tumour samples were processed by IRB Lleida (PT17/0015/0027) and HUB-ICO-IDIBELL (PT17/0015/0024) Biobanks integrated in the Spanish National Biobank Network and Xarxa de Bancs de Tumors de Catalunya following standard operating procedures with approval of their ethics and scientific committee and were collected with specific informed consent, in accordance with the Helsinki Declaration. Compensation was not provided.

Cell culture

The human melanoma cells WM1361 and WM1366 (CVCL_6789) were from Professor Richard Marais (Cancer Research UK Manchester Institute); the human melanoma cells WM793B (CVCL_8787), WM983A (CVCL_6808), WM983B (CVCL_6809) and WM88 (CVCL_6805) were purchased from the Wistar Collection at Coriell Cell Repository; the human melanoma cells A375P (CVCL_6233) and A375M2 (CVCL_C0RP) were from Dr Richard Hynes (Howard Hughes Medical Institute, Massachusetts Institute of Technology); the human primary melanocytes M206 and M443 were a kind gift from Dr Benilde Jiménez (Universidad Autónoma de Madrid and Instituto de Investigaciones Biomédicas CSIC-UAM, Spain) and were isolated from foreskins obtained with informed written consent from healthy donors and under approval of the institutional review board of Hospital Infantil Universitario Niño Jesus (Madrid, Spain); 293T (CVCL_0063) and CAL-51 (CVCL_1110) were from The Francis Crick Institute Cell Services STP. WM1361 and WM793B were cultured in Roswell Park Memorial Institute medium (Gibco) supplemented with 10% foetal bovine serum (FBS) and 1% (v/v) penicillin and streptomycin (PenStrep, Gibco); 293T, CAL-51, WM1366, WM983A, WM983B, WM88, A375P and A375M2 were cultured in Dulbecco’s modified Eagle’s medium (DMEM, Gibco) supplemented with 10% FBS and 1% (v/v) PenStrep; M206 and M443 were cultured in MBM-4 basal growth medium (Lonza) supplemented with the Melanocyte Growth Medium-4 BulletKit (MGM-4, Lonza) supplemented with 1% (v/v) PenStrep. Cells were grown at 37 °C and 5% or 10% CO2. Cells were kept in culture to a maximum of three or four passages.

Plasmids

pTRIP-SFFV-EGFP-NLS and the coding sequences of mEmerald-Lamin A/C and mEmerald-Lamin B1 were from Addgene, plasmids 86677, 54138, 54140. pLVX-N-GFP was a kind gift from Dr Michael Way (The Francis Crick Institute, UK) and was modified to express mEmerald-Lamin A/C and mEmerald-Lamin B1 by exchanging SnaBI/BamHI fragments. The coding sequence for LAP1, LAP1B carrying the deletion of the chromatin-binding region (LAP1BΔCBR) and LBRTRS and LBRNT were synthesized by Integrated DNA Technologies. Point mutations in LAP1 (M122A), LAP1B (LAP1BR, LAP1BΔ1-72R, LAP1BR563G) or LAP1C (LAP1CR441G), deletion of lamin-binding residues 1–72 (Δ1–72) in LAP1B and addition of part (LBRTRS-LAP1C) or whole (LBRNT-LAP1C) of LBR’s NT in LAP1C were generated using standard PCR and gene synthesis. Of note, The M122A mutation in LAP1 was used to inactivate expression of LAP1C and ensure LAP1B alone was expressed. All PCR primers are listed in Supplementary Table 15. LAP1, LAP1B and LAP1C mutants were cloned into pCMS28-EcoRI-NotI-XhoI-Linker-mRuby3, a modified version of pCMS28 (ref. 55) containing the 50-amino-acid flexible linker from the localization and purification (LAP) tag)56. LAP1 (M122A) was also cloned into pNG72-EcoRI-NotI-XhoI-Linker-GFP. LAP1BNT, LAP1B1–121 or LAP1CNT were cloned EcoRI/NotI into pCR3.1. A complementary DNA for the HA-tagged mitochondrial targeting sequence from monoamine oxygenase49 was synthesized and cloned into the NotI/XbaI sites of these vectors.

Transient transfection

CAL-51 or WM983B cells were seeded at a density of 8 × 104 cells in 4-well or 24-well plates and transfected with 0.5 μg of vector using Lipofectamine 3000 (Invitrogen). Medium was changed 6 h post-transfection. At 48 h post-transfection, CAL-51 cells were fixed with 4% formaldehyde (FA) for 15 min at room temperature.

Generation of stable cell lines

HEK293T cells were seeded at a density of 4 × 105 cells ml−1 in six-well plates. For lentiviral production, cells were transfected with 1.5 μg of lentiviral vector, 0.5 μg of pVSVG and 2 μg of HIV-1 pCMVd8.91 using Lipofectamine 3000. For retroviral production, cells were transfected with 1.5 μg of retroviral vector, 0.5 μg of pHIT-VSVG and 2 μg of MLV-GagPol using Lipofectamine 3000. Medium was changed 6 h post-transfection. Viral supernatants were collected 48 h post-transfection, spun down, filtered (0.2 μm) and used to transduce melanoma cells. Antibiotic selection as required was started 48 h post-infection.

siRNA transfection

Melanoma cells were seeded at a density of 4 × 104 cells ml−1 in 24-well plates or 2.5 × 105 in 6-well plates and transfected 1 h after seeding. Cells were transfected with 20 nM siGenome SMARTpool or On-Targetplus LAP1 siRNA oligonucleotides using Lipofectamine RNAimax (Invitrogen). siRNA oligonucleotides were from Dharmacon and are listed in Supplementary Table 16. Non-targeting siRNA was used as a control. Transwell migration and invasion assays were carried out 48 h post-transfection.

Transwell migration assays

Cells were starved in serum-free DMEM overnight and seeded at a density of 1.65 × 105 cells ml−1 per insert in 24-well plates or 2.335 × 106 cells ml−1 per insert in 6-well plates. DMEM 10% FBS was used as chemoattractant. Cells were allowed to migrate 16 h in 24-well plates and 24 h in 6-well plates. For multi-round transwell assays, cells were collected after one round (24 h) from inserts in 6-well plates and seeded on inserts in 24-well plates. Cells were fixed with 4% FA for 15 min at room temperature. Transwell inserts were from Corning.

Inhibitor treatments

ROCKi GSK269962A (Axon MedChem) was used at 1 μM, and staurosporin (Cell Guidance Systems) was used at 1 μM. In transwell assays, the inhibitor was added to the chemoattractant.

qPCR

Melanoma cells were seeded at a density of 1 × 105 cells ml−1 in 12-well plates 24 h before the experiment. RNA was extracted using TRIzol (Life Technologies) following the manufacturer’s instructions. RNA was treated with DNA-free DNA Removal Kit (Life Technologies), and RNA purity was determined with an ND-1000 Nanodrop (Thermo Fisher Scientific). qPCRs were performed using 100 ng RNA, QuantiTect primer assays and Brilliant III SYBR Green QRT-PCR Kit (Agilent Technologies) in a ViiA 7 Real-Time PCR System (Thermo Fisher Scientific). GAPDH was used as loading control. The following qPCR primers from Qiagen were used: RANBP2 (QT00035378), TPR (QT00046242), OSBPL8 (QT00067102), SUMO1 (QT00014280), NUP50 (QT00081669), ZMPSTE24 (QT00025627) and TOR1AIP1 (QT00070147).

Western blotting

Melanoma cells were seeded at a density of 6 × 105 cells ml−1 in 12-well plates and lysed the next day with LDS buffer 1× (Life Technologies). Lysates were denatured at 95 °C for 5 min and sonicated. SDS–PAGE and western blotting were performed using standard procedures. Membranes were visualized and bands quantified using an Odyssey Fc (LI-COR). Loading controls were run on the same blot. Individual 680 and 800 channels were co-visualized in greyscale on the same image. Primary antibodies were: LAP1 (1:1,000; #21459-1-AP), Lamin A/C (1:1,000, #10298-1-AP), Lamin B1 (1:1,000, #12987-1-AP), Lamin B2 (1:1,000, #10895-1-AP) from Proteintech; pThr18/Ser19-MLC2 (1:750, #3674), MLC2 (1:750, #3672) from Cell Signaling Technology; GAPDH (1:10,000, #MAB374) from Merck. Secondary antibodies were: IRDye 680RD goat anti-rabbit IgG (1:10,000, #925-68071) and IRDye 800RD goat anti-mouse IgG (1:10,000, #925-32210) from LI-COR.

LAP1 solubilization assay

The assays performed were adapted from ref. 44. Protein solubilization from melanoma cell lysates was carried out using the following extraction buffers supplemented with 1 mM dithiothreitol, 10 mM NaF, 10 mM β-glycerophosphate, 1 mM Na3VO4, 0.3 mM phenylmethylsulfonyl fluoride and cOmplete EDTA-free protease inhibitor tablet (Roche): 50 mM Tris–HCl pH 7.5 (hypotonic); 50 mM Tris–HCl pH 7.5, 1% Triton-X-100 (hypotonic + detergent); 100 mM Tris–HCl pH 7.5, 1% Triton-X-100 (low salt + detergent); 500 mM Tris–HCl pH 7.5, 1% Triton-X-100 (high salt + detergent). Protein lysates were incubated for 20 minutes on ice and then centrifuged at 14,000g for 15 min. The supernatants were combined with 4× LDS buffer and the pellets solubilized with 1× LDS buffer.

Cell culture on thick layers of collagen type I

Collagen I matrices were prepared using FibriCol (CellSystems) at 1.7 mg ml−1. Collagen was left 4 h to polymerize, and melanoma cells were seeded on top at a density of 5 × 103 in 96-well plates. Medium was changed the next day to DMEM 1% FBS. After 24 h, cells were fixed with 20% FA for 15 min at room temperature. For nuclear staining, cells were fixed with 2% FA for 30 min at room temperature.

3D invasion assays

Collagen I was prepared using FibriCol at 2.3 mg ml−1. Melanoma cells were suspended in serum-free DMEM to a final concentration of 1.5 × 104 cells per 100 μl of collagen. Cells were centrifuged at 1,800 rpm and 4 °C for 8 min, resuspended in collagen and seeded on glass-bottom 96-well plates (Ibidi). Plates were centrifuged at 900 rpm for 5 min to get all the cells at the bottom. Collagen was left 4 h to polymerize, and DMEM 10% FBS was added on top. Cells were allowed to invade for 24 h. Cells in collagen were fixed with 20% FA overnight at 4 °C. The 3D invasion index was obtained by dividing the number of invading cells at 50 μm by the total number of cells.

Immunofluorescence staining

Cells in coverslips were fixed with 4% FA for 15 min at RT, permeabilized with 0.3%Triton-X-100 for 20 min, blocked with 4% bovine serum albumin (BSA) for 30 min and incubated sequentially with primary antibody in 4% BSA for 2 h at room temperature and secondary antibody in 4% BSA for 1 h at room temperature. DNA was stained with DAPI 1:1,000 or Hoechst 1:5,000 in PBS (Gibco). For DNA damage staining, cells were washed in PBS pre-fixation and incubated with CSK buffer (10 mM PIPES, pH 6.8, 100 mM NaCl, 300 mM sucrose, 3 mM MgCl2, 10 mM B-glycerol phosphate, 50 mM NaF, 1 mM EDTA, 1 mM EGTA, 5 mM Na2VO3 and 0.5% Triton-X-100) for 3 min and again for 1 min on ice. Cells were fixed with 4% FA for 20 min on ice, blocked with 10% goat serum for 1 h at room temperature and incubated sequentially with primary antibody in 1% goat serum overnight at 4 °C and with secondary antibody in 1% goat serum for 1 h at room temperature. For nuclear staining in collagen I, cells were permeabilized with 0.5% Triton-X-100 for 30 min, blocked with 4% BSA overnight at 4 °C, incubated with primary antibody in 4% BSA overnight at 4 °C and with secondary antibody in 4% BSA for 2 h at room temperature. Primary antibodies were: Lamin A/C (1:200, #10298-1-AP) from Proteintech or (1:200; #mab3538) from Millipore; Lamin B1 (1:200, #12987-1-AP), Lamin B2 (1:200, #10895-1-AP), LAP1 (1:200; #21459-1-AP) and Emerin (1:1,000, #10351-1-AP) from Proteintech; pSer19-MLC2 (1:200, #3671) from Cell Signaling); HA.11 (1:500, #901503) from BioLegend; Gamma-H2AX (1:600, #05-636) from Merck; 53BP1 (1:600, #NB100305) from Novus Biologicals; Mab414 (1:200, #ab24609) from Abcam. Secondary antibodies were Alexa Fluor 488 and Alexa Fluor 555 (1:1,000) from Life Technologies and raised in donkeys against the corresponding species. F-actin was stained using Alexa Fluor 546-phalloidin from Life Technologies and DNA with Hoechst 33342 from Invitrogen.

Confocal fluorescence microscopy and image analysis

Images were acquired with a Dragonfly 200 high-speed spinning disc confocal microscope (Andor). Imaging was carried out with 20× dry or 60× oil objectives. Z-stacks of 1–5 μm step-size distance were acquired from fixed cells in 2D, transwells and collagen I. A Z-range of 50 μm was used to assess 3D invasion into collagen I. Live cell imaging was performed at 37 °C and 5% CO2 in an environmental chamber. Movies were taken at 2 min intervals for 1–15 h. Image analysis was carried out using ImageJ. Fluorescence signal intensities were quantified from pixel intensity in single cells relative to the areas of interest.

FRAP

Cells were seeded at a density of 8 × 104 in four-well chamber slides (Ibidi) 24 h before the experiment. An LSM 880 Carl Zeiss microscope was used for imaging. Cells were kept at 37 °C and 5% CO2 in a sealed chamber. Cells were imaged with a 63×/1.4 NA objective. First, five pre-bleached values were acquired and then squares of 1.3 × 1.3 (1.69 μm2) at the main NE and at NE blebs were bleached with 50% laser intensity. Fluorescence recovery was measured every second for 200 cycles. The FRAP data were curated subtracting background and normalized.

CLEM

Melanoma cells were seeded at a density of 2 × 105 in 35 mm gridded glass-bottom dishes (MatTek) 24 h before the experiment. Live cells were imaged until NE rupture was spotted, at which point cells were fixed adding 8% (v/v) FA (Taab Laboratory Equipment Ltd, Aldermaston, UK) in 0.2 M phosphate buffer pH 7.4 to the cell culture medium (1:1) for 15 min. Cells were mapped using brightfield light microscopy to determine their position on the grid, and tile scans were generated. Processing details for the Electron Microscopy can be found in Supplementary Information.

In vivo experiments

SCID (NOD.CB17-Prkdcscid/NcrCrl) mice were obtained from Charles River and NXG (NOD-Prkdcscid-Il2rgtm1/Rj) mice from Janvier-Labs. Mice were female 6–8 weeks old for all experiments. The QMUL Biological Services holding facility maintained a 7 h light/dark cycle, ambient temperature of 19–22 °C and humidity of 50–60%. Tumour volume (mm3) = length × width × height × 0.52. No randomization was performed in either subcutaneous or intradermal mouse experiments. None of the studies required any treatment since tumour inoculation. Tumours were calipered and animals were killed at the same time at the end point of the experiment. During injections, mice were anaesthetized with isoflurane. The maximal tumour size permitted in the animal license is 1.5 cm3 for a single tumour. In the case of two tumours (right/left flank), the combination of both tumour volumes could not reach 1.5 cm3 either. We confirm that none of the experiments performed exceeds the maximal tumour size allowed in our animal license. Subcutaneous tumours: 2 × 106 cells (A375P, A375M2, WM983A and WM983B) in a volume of 50 μl in PBS−/− were subcutaneously injected into the flank of SCID mice. All four cell lines were EGFP positive and n = 8 mice per group were used for A375P, A375M2, WM983A and n = 4 mice were used for WM983B (28 mice total)6. A375P and A375M2 tumours were grown for 33 days, while WM983A and WM983B were grown for 55 days. Intradermal injections (wild-type study): 2 × 105 cells (WM983A, WM983B, A375P and A375M2) in a volume of 50 μl in PBS−/− were intradermally injected into the flank of NXG mice. Two injections per mouse were performed, obtaining tumours in two flanks, and n = 8 mice per group were used (32 mice total). Sixteen tumours were obtained for each group (64 tumours total). Note: For A375P intradermal injections two timepoints were considered (24 and 36 days) to examine changes in local invasion at early and late timepoints. WM983A and WM983B-derived tumours were grown for 42 days. Intradermal injections (LAP1 mutants): 2 × 105 cells (A375M2-GFP-NLS, A375P GFP-NLS LAP1B-mRuby3, A375P GFP-NLS LAP1C-mRuby3, A375P GFP-NLS LAP1BΔ1-72-mRuby3 and A375P GFP-NLS LAP1BR563G-mRuby3) were injected in a volume of 30 μl in PBS−/− through intradermal injection into NXG mice. One injection per mouse was performed in the flank, and n = 10 mice per group were used (50 mice total). For information on sample sizes, power calculation, randomization and blinding, please see Supplementary Information.

Immunohistochemistry

Whole sections from intradermal and subcutaneous tumours (see in vivo experiment section) and two tissue microarrays including a total of 48 primary melanoma tumours and 43 metastases were used. Details of patient tumours used to generate the microarrays are described in Supplementary Tables 13 and 14. Patients diagnosed with melanoma were recruited from the dermatology departments at Hospital Arnau de Vilanova (Lleida, Spain) and Hospital de Bellvitge (Barcelona, Spain) during the period 1992–2014. No selection on age or gender was made. All cases were diagnosed in the respective pathology departments as melanoma according to the latest American Joint Committee on Cancer criteria. The IFs from patient or xenograft tumours were delimited as the tumour areas showing at least 50% contact with the matrix, as previously described5,810. Each biopsy was represented by two cores (1 mm diameter) from the TB and two cores from the IF areas. All samples were formalin-fixed paraffin-embedded tissue. Processing stages are described fully in Supplementary Information.

Gene enrichment analysis

Normalized gene expression microarray data was obtained from GSE23764 (ref. 10). A375M2 were compared with A375P and with A375M2 treated 24 h with contractility inhibitors (ROCK inhibitors H1152 or Y26732 or myosin inhibitor blebbistatin). A catalogue of nuclear gene sets was downloaded, and analyses were carried out using GSEA software (http://www.broadinstitute.org/gsea/index.jsp). Permutations were set to 1,000 and permutation type to gene-set, and t-test was established for ranking. Gene Ontology gene sets were classified according to Gene Ontology ontologies. Upregulated gene sets were filtered on the basis of FDR <5% and P < 0.05.

Statistics and reproducibility

Unpaired two-tailed t-test, one-way analysis of variance (ANOVA) and two-way ANOVA followed by Tukey’s or Sidak’s multiple comparisons tests as indicated in the figure legends were performed using GraphPad Prism (GraphPad Software). Survival curve estimation from human samples based on the Kaplan–Meier method test was performed using SPSS Statistics (IBM). All results were obtained from at least three independent experiments unless otherwise stated. Data are plotted as box plots with the mean, 25th and 75th quartiles indicated by the boxes and maxima and minima indicated by the whiskers, or bar charts with the mean ± standard error of the mean (s.e.m.) from the indicated number of independent experiments. The mean of each independent experiment is depicted as a point on the plot. The threshold for statistical significance was set to a P value of less than 0.05. Power calculations, randomization and blinding for in vivo experiments are described in Supplementary Methods. Excluding these in vivo experiments, no statistical method was used to pre-determine sample size, no data were excluded from the analysis, the experiments were not randomized and the investigators were not blinded to allocation during experiments or outcome assessment.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Online content

Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41556-022-01042-3.

Supplementary information

Supplementary Information (384.3KB, pdf)

Supplementary Methods

Reporting Summary (2.5MB, pdf)
Peer Review File (1.8MB, pdf)
Supplementary Table 1 (44KB, xlsx)

Supplementary Table 1. Signalling regulation gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of signalling regulation gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 2. Nuclear membrane gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of nuclear membrane gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 3. Cell division gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cell division gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 4. Organelle organization gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of organelle organization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Extended Data Table 5. Cellular localisation gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular localization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 6. Cellular development gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular development gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 7. Cytoskeleton organization gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value), and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cytoskeleton organization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 8. Cellular movement gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular movement gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 9. Cellular transport gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular transport gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 10. Membrane remodelling gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of membrane remodelling gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 11. Nuclear matrix gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of nuclear matrix gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 12. Biosynthesis gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of biosynthesis gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 13. Clinical information for patients with primary melanoma. The table shows the average patient age ± s.d., the number and percentage of patients according to gender, and the number and percentage of tumours according to location for human patients with melanoma in cohorts A and B. Supplementary Table 14. Clinical information for patients with metastatic melanoma. The table shows the average patient age ± s.d., the number and percentage of patients according to gender, and the number and percentage of metastases according to location for human patients with melanoma in cohorts A and B. Supplementary Table 15. List of PCR primer sequences. The table shows the PCR primer name and nucleotide sequence. Supplementary Table 16. List of siRNA sequence details. The table shows the siRNA target and siRNA oligo sequence. Supplementary Table 17. List of BioWave programme details. The table shows a description of the BioWave programme steps, step duration, power and vacuum cycle details.

Supplementary Video 1 (5.8MB, avi)

Supplementary Video 1. Intact NE bleb by SBF-SEM. Representative SBF-SEM reconstruction of the nucleus of a metastatic melanoma WM983B cell with an intact NE bleb. Scale bar, 5 μm.

Supplementary Video 2 (64.2KB, avi)

Supplementary Video 2. Intact NE bleb by CLEM. Representative correlative live imaging before fixation for CLEM of the nucleus of a metastatic melanoma WM983B cell stably expressing GFP-NLS (green) with an intact NE bleb. Time interval, 6 min. Scale bar, 5 μm.

Supplementary Video 3 (7.6MB, avi)

Supplementary Video 3. Ruptured NE bleb by SBF-SEM. Representative SBF-SEM reconstruction of the nucleus of a metastatic melanoma WM983B cell with a ruptured NE bleb. Scale bar, 5 μm.

Supplementary Video 4 (93.5KB, avi)

Supplementary Video 4. Ruptured NE bleb by CLEM. Representative correlative live imaging before fixation for CLEM movie of the nucleus of a metastatic melanoma WM983B cell stably expressing GFP-NLS (green) with a ruptured NE bleb. Time interval, 6 min. Scale bar, 5 μm.

Supplementary Video 5 (7.1MB, avi)

Supplementary Video 5. NE rupture in primary melanoma cell. Representative movie of NE rupture in a WM983A cell stably expressing GFP-NLS (green). Time interval, 5 h. Scale bar, 10 μm.

Supplementary Video 6 (13.9MB, avi)

Supplementary Video 6. NE rupture in metastatic melanoma cell. Representative movie of NE rupture in a WM983B cell stably expressing GFP-NLS (green). Time interval, 5 h. Scale bar, 10 μm.

Supplementary Video 7 (1.1MB, avi)

Supplementary Video 7. FRAP of LAP1 isoforms in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (LAP1 M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Merge.

Supplementary Video 8 (1MB, avi)

Supplementary Video 8. FRAP of LAP1B in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (LAP1 M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Green channel displayed.

Supplementary Video 9 (746.9KB, avi)

Supplementary Video 9. FRAP of LAP1C in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Magenta channel displayed.

Acknowledgements

J.G.C. is a Wellcome Trust Senior Research Fellow (206346/Z/17/Z). V.S.-M. is a Cancer Research UK (CRUK) Senior fellow and the V.S.-M. lab was supported by (CRUK) C33043/A24478 and Barts Charity. I.R.-H. was supported in the V.S.-M. lab by a Fundación Alfonso Martin Escudero fellowship and Marie Skłodowska-Curie Action, grant agreement number 659022. Y.J.-G. received a Crick-KCL PhD studentship. B.F. received a King’s Health Partners PhD studentship. R.M.M was funded by ISCIII/FEDER ‘Una manera de hacer Europa’ FIS-PI1500711 and PI18/00573; R.M.M and X.M.-G were funded by CIBERONC CB16/12/0023. We thank E. Crosas-Molist and J. L. Orgaz (Barts Cancer Institute, UK) for their supervision with cell biology experiments. We thank R. Marais (Cancer Research UK Manchester Institute) for the melanoma cells provided and B. Jiménez (Universidad Autónoma de Madrid and Instituto de Investigaciones Biomédicas CSIC-UAM, Spain) for the melanocytes. We thank K. Hodivala-Dilke and J. Marshall (Queen Mary University of London) for help with animal experiments. This work was supported in part by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001002 and FC001999), the UK Medical Research Council (FC001002 and FC001999) and the Wellcome Trust (FC001002 and FC001999). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.

Extended data

Source data

Source Data Fig. 1 (13.2KB, xlsx)

Numerical source data and exact P values for Fig. 1.

Source Data Fig. 1 (6.2MB, tif)

Unprocessed blots for Fig. 1.

Source Data Fig. 2 (16.3KB, xlsx)

Numerical source data and exact P values for Fig. 2.

Source Data Fig. 3 (27.7KB, xlsx)

Numerical source data and exact P values for Fig. 3.

Source Data Fig. 4 (11.4KB, xlsx)

Numerical source data and exact P values for Fig. 4.

Source Data Fig. 4 (3.5MB, tif)

Unprocessed blots for Fig. 4.

Source Data Fig. 5 (16.6KB, xlsx)

Numerical source data and exact P values for Fig. 5.

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Author contributions

J.G.C. and V.S.-M. were principal investigators, designed the research, supervised experiments and wrote the paper; Y.J.-G. designed the research, performed the experiments, analysed the data and wrote the paper; O.M. performed immunohistochemistry and digital pathology and supervised mouse work; I.R.-H. assisted with the transcriptomic analyses and qPCR; J.M. and B.F. performed mouse work; M.-C.D. and L.M.C. performed and supervised the CLEM experiments; M.J.R. trained Y.J.-G. in FRAP and supervised the experiments; R.M.M. and X.M.-G provided the human tissue.

Peer review

Peer review information

Nature Cell Biology thanks Matthieu Piel, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Data availability

Gene expression data from cells were obtained from publicly available datasets and normalized as previously described40,57. Data from four melanocyte datasets from ref. 40 (GSE4570), (GSE4840) (refs. 58, 59) and data from melanoma cell lines (Philadelphia cohort GSE4841 (29 samples) and Mannheim cohort GSE4843 (37 samples)) were obtained from ref. 40. Heat maps for gene expression in cells were generated using MeV_4_9_0 software (http://mev.tm4.org/). Gene expression data from human samples were derived from three publicly available datasets from ref. 42 (Riker GSE7553 (14 primary and 40 metastatic melanomas))41, (Kabbarah GSE46517 (31 primary and 73 metastatic melanomas)) and ref. 43 (Xu GSE8401 (31 primary and 52 metastatic melanomas)). Source data are provided with this paper. All other data supporting the findings of this study are available from the corresponding authors on reasonable request. Biological materials created in this study can be obtained from the corresponding authors on reasonable request.

Code availability

No code beyond freely available ImageJ tools was used in this study.

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.

These authors contributed equally: Victoria Sanz-Moreno, Jeremy G Carlton.

These authors jointly supervised this work: Victoria Sanz-Moreno, Jeremy G Carlton.

Contributor Information

Victoria Sanz-Moreno, Email: v.sanz-moreno@qmul.ac.uk.

Jeremy G. Carlton, Email: jeremy.carlton@kcl.ac.uk

Extended data

is available for this paper at 10.1038/s41556-022-01042-3.

Supplementary information

The online version contains supplementary material available at 10.1038/s41556-022-01042-3.

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Associated Data

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

Supplementary Materials

Supplementary Information (384.3KB, pdf)

Supplementary Methods

Reporting Summary (2.5MB, pdf)
Peer Review File (1.8MB, pdf)
Supplementary Table 1 (44KB, xlsx)

Supplementary Table 1. Signalling regulation gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of signalling regulation gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 2. Nuclear membrane gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of nuclear membrane gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 3. Cell division gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cell division gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 4. Organelle organization gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of organelle organization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Extended Data Table 5. Cellular localisation gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular localization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 6. Cellular development gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular development gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 7. Cytoskeleton organization gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value), and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cytoskeleton organization gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 8. Cellular movement gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular movement gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 9. Cellular transport gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of cellular transport gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 10. Membrane remodelling gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of membrane remodelling gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 11. Nuclear matrix gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of nuclear matrix gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 12. Biosynthesis gene sets enriched in A375M2. The table shows the gene set name, gene set size, enrichment score (ES), normalized enrichment score (NES), nominal P value for the enrichment score calculated by phenotype-based permutation test, false discovery rate (FDR q-value), familywise-error rate (FWER P value) and the position in the ranked list at which the maximum enrichment score occurred (RANK MAX) of biosynthesis gene sets enriched in highly metastatic melanoma A375M2 cells. Supplementary Table 13. Clinical information for patients with primary melanoma. The table shows the average patient age ± s.d., the number and percentage of patients according to gender, and the number and percentage of tumours according to location for human patients with melanoma in cohorts A and B. Supplementary Table 14. Clinical information for patients with metastatic melanoma. The table shows the average patient age ± s.d., the number and percentage of patients according to gender, and the number and percentage of metastases according to location for human patients with melanoma in cohorts A and B. Supplementary Table 15. List of PCR primer sequences. The table shows the PCR primer name and nucleotide sequence. Supplementary Table 16. List of siRNA sequence details. The table shows the siRNA target and siRNA oligo sequence. Supplementary Table 17. List of BioWave programme details. The table shows a description of the BioWave programme steps, step duration, power and vacuum cycle details.

Supplementary Video 1 (5.8MB, avi)

Supplementary Video 1. Intact NE bleb by SBF-SEM. Representative SBF-SEM reconstruction of the nucleus of a metastatic melanoma WM983B cell with an intact NE bleb. Scale bar, 5 μm.

Supplementary Video 2 (64.2KB, avi)

Supplementary Video 2. Intact NE bleb by CLEM. Representative correlative live imaging before fixation for CLEM of the nucleus of a metastatic melanoma WM983B cell stably expressing GFP-NLS (green) with an intact NE bleb. Time interval, 6 min. Scale bar, 5 μm.

Supplementary Video 3 (7.6MB, avi)

Supplementary Video 3. Ruptured NE bleb by SBF-SEM. Representative SBF-SEM reconstruction of the nucleus of a metastatic melanoma WM983B cell with a ruptured NE bleb. Scale bar, 5 μm.

Supplementary Video 4 (93.5KB, avi)

Supplementary Video 4. Ruptured NE bleb by CLEM. Representative correlative live imaging before fixation for CLEM movie of the nucleus of a metastatic melanoma WM983B cell stably expressing GFP-NLS (green) with a ruptured NE bleb. Time interval, 6 min. Scale bar, 5 μm.

Supplementary Video 5 (7.1MB, avi)

Supplementary Video 5. NE rupture in primary melanoma cell. Representative movie of NE rupture in a WM983A cell stably expressing GFP-NLS (green). Time interval, 5 h. Scale bar, 10 μm.

Supplementary Video 6 (13.9MB, avi)

Supplementary Video 6. NE rupture in metastatic melanoma cell. Representative movie of NE rupture in a WM983B cell stably expressing GFP-NLS (green). Time interval, 5 h. Scale bar, 10 μm.

Supplementary Video 7 (1.1MB, avi)

Supplementary Video 7. FRAP of LAP1 isoforms in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (LAP1 M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Merge.

Supplementary Video 8 (1MB, avi)

Supplementary Video 8. FRAP of LAP1B in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (LAP1 M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Green channel displayed.

Supplementary Video 9 (746.9KB, avi)

Supplementary Video 9. FRAP of LAP1C in metastatic melanoma cell. Representative movie of FRAP in a WM983B nucleus stably co-expressing LAP1B-GFP (M122A) (green) and LAP1C-mRuby3 (magenta) and with an NE bleb. FRAP was measured at the main NE and at the bleb. Time interval, 200 s. Scale bar, 5 μm. Magenta channel displayed.

Data Availability Statement

Gene expression data from cells were obtained from publicly available datasets and normalized as previously described40,57. Data from four melanocyte datasets from ref. 40 (GSE4570), (GSE4840) (refs. 58, 59) and data from melanoma cell lines (Philadelphia cohort GSE4841 (29 samples) and Mannheim cohort GSE4843 (37 samples)) were obtained from ref. 40. Heat maps for gene expression in cells were generated using MeV_4_9_0 software (http://mev.tm4.org/). Gene expression data from human samples were derived from three publicly available datasets from ref. 42 (Riker GSE7553 (14 primary and 40 metastatic melanomas))41, (Kabbarah GSE46517 (31 primary and 73 metastatic melanomas)) and ref. 43 (Xu GSE8401 (31 primary and 52 metastatic melanomas)). Source data are provided with this paper. All other data supporting the findings of this study are available from the corresponding authors on reasonable request. Biological materials created in this study can be obtained from the corresponding authors on reasonable request.

No code beyond freely available ImageJ tools was used in this study.


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