Miguel A. Valverde’s research while affiliated with Pompeu Fabra University and other places

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Publications (158)


Viscosity enhances cell migration and promotes an ARP2/3-mediated dense actin network at the leading edge
a,b, Speeds of MDA-MB-231 cells (a) and other indicated cell types (b) inside confining channels at prescribed viscosities. The red lines represent the median of ≥69 cells from ≥3 experiments. c, Cell trajectories on 2D collagen-coated surfaces after 10 h. d, Cells disseminating from 3D spheroids. e, The time required for the first cell dissociation from each spheroid (n ≥ 53) from 3 experiments. f, Airyscan images of phalloidin stained cells on collagen-coated substrates. The red arrow indicates high F-actin staining along the cell edge. g, The fraction of cell-projected area with a Lifeact–GFP-rich lamella for n ≥ 28 cells from 3 experiments. h, The leading edge of Lifeact–GFP-expressing cells on collagen-coated surfaces at t = 0 min (red) and t = 2 min (cyan) (left). Right, leading-edge lamella growth in n ≥ 19 cells from 3 experiments. Data are the moving average ± s.e.m. P < 0.05 for all points t ≥ 50 s. Time is shown as min:s. i,j, STORM reconstruction (i) and density quantification (j) of F-actin for cells (n ≥ 13) on substrates from 2 experiments. k, The average actin density over time from 20 stochastic simulations. Viscous forces were applied at t = 6 s (red arrow) and maintained until the end of the simulation. l, Confocal images of cells expressing Lifeact–GFP and ARP3–mCherry in confinement. The red arrow indicates high ARP3 intensity at leading-edge protrusions at 8 cP. m, The relative ARP3–mCherry intensity along normalized cell length in confined cells. Data are the moving average ± s.e.m. for n = 21 cells from 4 experiments. ***P < 0.001 for all comparisons at normalized cell length > 0.96. The x axis is discontinued between 0.25 and 0.75 to highlight differences at the cell edges. n, Confined migration speeds of SC versus ARP3/ARPC4 double-knockdown cells (n = 90) from 3 experiments. For e, g, j and n, data are mean ± s.d. Unless otherwise indicated, statistical comparison was performed with respect to 0.77 cP. Statistical analysis was performed using Kruskal–Wallis tests followed by Dunn’s test (a and n), Mann–Whitney U-tests (BrM2 only) or unpaired t-tests after log-transformation (other cells) (b), unpaired t-tests (e, g and j) and two-way analysis of variance (ANOVA) followed by Šidák’s test (h and m). Scale bars, 250 μm (c), 50 μm (d), 25 µm (f, white), 3 µm (f, red), 10 µm (h), 2 µm (i), 20 µm (l). The cell model was MDA-MB-231 unless otherwise indicated. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.
Source data
Viscosity promotes NHE1-dependent cell swelling, which activates TRPV4 leading to calcium influx
a, The volume of Lifeact–GFP-labelled MDA-MB-231 cells (n ≥ 28) at the indicated viscosities from 3 experiments. b, Confocal images of confined MDA-MB-231 cells stained for NHE1 and phalloidin. c, Front-to-rear NHE1 intensity ratio in NHE1-immunostained cells (n ≥ 16) from 3 experiments. d, The rate of pH recovery in pHRed-expressing MDA-MB-231 cells (n ≥ 29) from 5 experiments. e, The volume of SC and shNHE1 Lifeact–GFP-tagged MDA-MB-231 cells (n ≥ 36) from 3 experiments. f, Confined migration speeds of SC and shNHE1 MDA-MB-231 cells (n ≥ 113) from 3 experiments compared with the two-phase model predictions. g, The elevated Flipper-TR lifetimes in MDA-MB-231 cells on 2D surfaces indicate high membrane tension. h, The membrane tension in wild-type MDA-MB-231 cells after treatment with vehicle (veh.), CK666 or EIPA, and in SC or shTRPV4 cells (n ≥ 58) from 3 experiments. i, The number of calcium flashes in SC, shTRPV4 or shNHE1 MDA-MB-231 cells (n ≥ 52) on 2D surfaces from 3 experiments. j,l, TRPV4 currents (I) in SC- and shTRPV4 (j) or shNHE1 (l) MDA-MB-231 cells (n ≥ 3) with or without the TRPV4 inhibitor HC-067047 from ≥3 experiments. k, Confined migration speeds of SC and shTRPV4 MDA-MB-231 cells (n ≥ 129) from 3 experiments. m, The time required for the first cell dissociation from each spheroid (n ≥ 57) after treatment with vehicle control or the TRPV4 inhibitor GSK 2193874 (GSK2) from 3 experiments. n, The number of calcium flashes in MDA-MB-231 cells (n ≥ 29) treated with the ARP2/3 inhibitor CK666 from 2 experiments. o, Confocal images of confined MDA-MB-231 cells stained for NHE1, ezrin and phalloidin. p, Front-to-rear NHE1 or ezrin intensity ratio from immunostained cells (n ≥ 24) from 2 experiments. Data are mean ± s.d. (a, c–f, h, i, k, m, n and p) and mean ± s.e.m. (j and l). Statistical analysis was performed using unpaired t-tests after log-transformation (a, c and d), one-way ANOVA followed by Tukey’s test after log-transformation (e and m), Kruskal–Wallis tests followed by Dunn’s test (f, h, i, k and n), one-way ANOVA followed by Holm–Šidák’s test (j and l) and Mann–Whitney U-tests (p). Scale bars, 20 µm (b and o) and 10 µm (g).
Source data
TRPV4-mediated activation of RHOA–ROCK–myosin II contractility
a, The lifetimes of the RHOA activity biosensor in MDA-MB-231 cells on a 2D surface at the indicated viscosities. b, The subcellular distribution of RHOA activity in n ≥ 30 cells on a 2D surface from 4 experiments. c, RHOA activity in SC and shTRPV4 MDA-MB-231 cells (n ≥ 21) on a 2D surface from 3 experiments. d, Confocal images of GFP–AHD-expressing MDA-MB-231 cells in confinement. The red arrowheads indicate regions of active RHOA. e, GFP–AHD intensity in different segments of confined MDA-MB-231 cells (n ≥ 33) at 8 cP in the presence of vehicle control or NHE1 inhibitor from ≥3 experiments. f, GFP–AHD intensity in different segments of confined MDA-MB-231 cells (n ≥ 33) after treatment with vehicle control or the TRPV4 inhibitor GSK 2193874 (GSK2) from 3 experiments. The intensity in each segment was normalized to the mean intensity of the entire cell in e and f. g, Confocal images of MIIA–GFP-expressing and Lifeact–Ruby-expressing MDA-MB-231 cells migrating in confinement. The red arrowheads indicate regions of intense MIIA localization. h, The confined migration speeds of SC and MIIA and MIIB single- or double-knockdown MDA-MB-231 cells (n ≥ 38) from 2 experiments. Data are mean ± s.d. i, Schematic of the proposed viscosity-sensing pathway. OEM, osmotic engine model. The schematic in i was created using Servier Medical Art. Statistical analysis was performed using unpaired t-tests (b), Kruskal–Wallis tests followed by Dunn’s test (c and h) and two-way ANOVA followed by Tukey’s test (e and f). Scale bars, 20 µm (a, d and g).
Source data
MDA-MB-231 cells preconditioned to elevated viscosity exhibit enhanced migration, extravasation and lung colonization
a, Illustration of cell preconditioning at the indicated viscosities. b, Confined migration speeds of preconditioned cells (0.77 or 8 cP for 6 days) resuspended at the indicated migration viscosity. Data are mean ± s.d. for n ≥ 140 cells from 3 experiments. c, The confined migration speeds of preconditioned SC or shTRPV4 cells allowed to migrate at 0.77 cP. Data are mean ± s.d. for n ≥ 146 cells from 3 experiments. d, Confocal image of 3 day post-fertilization (d.p.f.) zebrafish ISVs with measurements of vessel width (top). Bottom, experimental design of migration studies in zebrafish. e,f, Time-lapse confocal images (e) and average speeds (f) of preconditioned cells (n ≥ 77) inside ISVs from 3 experiments. The red lines indicate the median (thick) and quartiles (thin). g, The experimental design of mouse tail-vein experiments. h, The number of human vimentin-positive colonies in the lungs 48 h after injection. Data are mean ± s.e.m. for 8 mice per group from 2 experiments. i,j, Confocal images of lung sections (i) and quantification of human vimentin-positive metastatic colonies (j) 3 weeks after injection. Data are mean ± s.e.m. for a total of ≥7 mice per group from 2 experiments. k,l, The number of human vimentin-positive metastatic colonies in the lungs 48 h (k) and 3 weeks (l) after injection. Data are mean ± s.e.m. for ≥9 mice per group from 2 experiments. The squares represent experiments with PVP as the medium additive. m,n, qPCR detection of human DNA in the lungs of mice 48 h (m) or 3 weeks (n) after injection. Data are mean ± s.d. for ≥9 mice per group. Squares are from experiments with PVP. Statistical analysis was performed using Kruskal–Wallis tests followed by Dunn’s test (b and c), Mann–Whitney U-tests (f), unpaired t-tests (h and j), one-way ANOVA followed by Tukey’s test (l–n) and one-way ANOVA followed by Tukey’s test on log-transformed data (k). Scale bars, 20 µm (d), 30 µm (e) and 200 µm (i). The schematics in a, d and g were created using Servier Medical Art.
Source data
Extracellular fluid viscosity enhances cell migration and cancer dissemination
  • Article
  • Full-text available

November 2022

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537 Reads

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204 Citations

Nature

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Cells respond to physical stimuli, such as stiffness¹, fluid shear stress² and hydraulic pressure3,4. Extracellular fluid viscosity is a key physical cue that varies under physiological and pathological conditions, such as cancer⁵. However, its influence on cancer biology and the mechanism by which cells sense and respond to changes in viscosity are unknown. Here we demonstrate that elevated viscosity counterintuitively increases the motility of various cell types on two-dimensional surfaces and in confinement, and increases cell dissemination from three-dimensional tumour spheroids. Increased mechanical loading imposed by elevated viscosity induces an actin-related protein 2/3 (ARP2/3)-complex-dependent dense actin network, which enhances Na⁺/H⁺ exchanger 1 (NHE1) polarization through its actin-binding partner ezrin. NHE1 promotes cell swelling and increased membrane tension, which, in turn, activates transient receptor potential cation vanilloid 4 (TRPV4) and mediates calcium influx, leading to increased RHOA-dependent cell contractility. The coordinated action of actin remodelling/dynamics, NHE1-mediated swelling and RHOA-based contractility facilitates enhanced motility at elevated viscosities. Breast cancer cells pre-exposed to elevated viscosity acquire TRPV4-dependent mechanical memory through transcriptional control of the Hippo pathway, leading to increased migration in zebrafish, extravasation in chick embryos and lung colonization in mice. Cumulatively, extracellular viscosity is a physical cue that regulates both short- and long-term cellular processes with pathophysiological relevance to cancer biology.

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Polarized NHE1 and SWELL1 regulate migration direction, efficiency and metastasis

October 2022

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301 Reads

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35 Citations

Cell migration regulates diverse (patho)physiological processes, including cancer metastasis. According to the Osmotic Engine Model, polarization of NHE1 at the leading edge of confined cells facilitates water uptake, cell protrusion and motility. The physiological relevance of the Osmotic Engine Model and the identity of molecules mediating cell rear shrinkage remain elusive. Here, we demonstrate that NHE1 and SWELL1 preferentially polarize at the cell leading and trailing edges, respectively, mediate cell volume regulation, cell dissemination from spheroids and confined migration. SWELL1 polarization confers migration direction and efficiency, as predicted mathematically and determined experimentally via optogenetic spatiotemporal regulation. Optogenetic RhoA activation at the cell front triggers SWELL1 re-distribution and migration direction reversal in SWELL1-expressing, but not SWELL1-knockdown, cells. Efficient cell reversal also requires Cdc42, which controls NHE1 repolarization. Dual NHE1/SWELL1 knockdown inhibits breast cancer cell extravasation and metastasis in vivo, thereby illustrating the physiological significance of the Osmotic Engine Model.


Fig. 1. Piezo1 is required for an effective cytokinesis. (A) Nuclear staining with 4′,6-diamidino-2-phenylindole (DAPI) in HMECs expressing green fluorescent protein (GFP) and treated with GsMTx4 (1 M), Yoda1 (5 M), and BAPTA (1 M) and/or transfected with siControl (siCtrl), siPiezo1, siPacsin3, or Pacsin3-cyan fluorescent protein (CFP). Nuclei perimeter marked with discontinuous lines. Scale bars, 10 m. Veh, vehicle; -Tub, -tubulin. (B) Violin plot of the number of nuclei/cell counted in HMECs exposed to the conditions indicated. siControl (n = 72), siControl + Yoda1 (n = 47), siControl + GsMTx4 (n = 61), siPiezo1 (n = 47), BAPTA (n = 74), Pacsin3 overexpression (n = 43), siPacsin3 (n = 51), siPacsin3 + Yoda1 (n = 49), and siPacsin3 + GsMTx4 (n = 54). (C) Cell nuclei (H2B-mCherry) and plasma membrane (lyn-GFP) visualization in zebrafish embryos treated with vehicle or 10 M GsMTx4. Zoom shows representative images of mononucleated and multinucleated cells. Scale bars, 10 m. (D) Percentage of multinucleated cells in vehicle-or GsMTx4-treated embryos. (E) Piezo1-GCaMP6 (GenEPI) localization in interphase (left) and late mitosis (middle); anti--tubulin staining in late mitosis (right). Scale bars, 10 m. (F) Piezo1-mediated Ca 2+ signal, measured at the ICB in GenEPI-transfected HMECs, peaks around 2 hours after release from nocodazole synchronization. A.U., arbitrary units. (G) Peak and baseline GenEPI fluorescence intensity at the ICB. (H) Colocalization of overexpressed Pacsin3-CFP with endogenous Piezo1 and -tubulin at the ICB. Scale bar, 5 m. (I) Immunodetection of Piezo1 and -tubulin in HMECs transfected with control siRNA, siPiezo1, or siPacsin3. Scale bar, 5 m. (J) Quantification of Piezo1 signal at the ICB in HMECs transfected with siControl, siPiezo1, or siPacsin3. Data are means ± SEM. Number of cells (or experimental repeats) is indicated in each graph. Significance values are respect control condition as determined by Kruskal-Wallis test followed by Dunn's post hoc test, Mann-Whitney test (D), or paired t test (G).
Fig. 2. Piezo1 localization and activity is regulated by Pacsin3. (A) Mean intracellular Ca 2+ signals obtained from HMECs loaded with Fura-2 acetoxymethyl ester transfected with siControl (N = 37), siPacsin3 (N = 17), or overexpressing Pacsin3 (N = 15) and exposed to uniaxial stretching (40% of the initial chamber length, inset illustration). (B) Whole-cell traces of mechanically activated Piezo1 currents recorded at a holding potential of −80 mV from HEK293 cells overexpressing Piezo1 (left) or Piezo1 + Pacsin3 (right) following stimulation with a series of mechanical steps of 1 m (inset illustration). (C) Maximum peak whole-cell currents obtained in HEK293 cells overexpressing pcDNA3, Piezo1-wild type (WT), Piezo1-4PA, and Pacsin3 as indicated. (D) Mean inactivation time constant (t) of whole-cell currents obtained in HEK293 cells overexpressing pcDNA3, Piezo1-WT, Piezo1-4PA, and Pacsin3 as indicated. n.s., not significant. (E) Immunodetection of Piezo1 and -tubulin in HMECs, in which endogenous Piezo1 was knocked down with an siRNA directed against Piezo1 5′ untranslated region and transfected with the indicated siRNA-resistant Piezo constructs. Scale bars, 5 m. (F) Quantification of Piezo1 signal at the ICB under the conditions indicated. (G) Percentage of multinucleated HMEC under the conditions indicated. Data are means ± SEM. Number of cells (or experimental repeats) is indicated in each graph. Significance values are respect control condition as determined by analysis of variance (ANOVA) followed by Bonferroni post hoc test or Kruskall-Wallis test followed by Dunn's post hoc test (A).
Fig. 3. Piezo1 regulates localization of ESCRT-III components to the late cytokinetic bridge. Immunolocalization of -tubulin and CHMP4B (A), ALIX (B), and Cep55 (C) at the midbody of siControl-, siPiezo1-, GsMTx4-, siPacsin3-, and siPacsin3 + Yoda1-treated HMECs. Scale bars, 5 m. Quantification of CHMP4B (D), ALIX (E), and Cep55 (F) immunofluorescence intensities at the midbody. (G) Quantification of the number of nuclei per cell in HMECs transfected with control siRNA (n = 57) or siCep55 (vehicle = 73 and Yoda1 = 64) in the presence/absence of Yoda1. (H) Immunolocalization of Cep55 and -tubulin in primary human dermal fibroblasts. Nuclear staining with DAPI. Scale bars, 5 m. (I) Quantification of the number of nuclei per cell in primary human dermal fibroblasts transfected with control siRNA (n = 143), siCep55 (vehicle = 33 and GsMTx4 = 55), siPiezo1 (n = 61), or siPacsin3 (n = 57). (J) CHMP4B immunofluorescence intensities at the midbody of primary human dermal fibroblasts transfected with control siRNA or siCep55 in the presence or absence of GsMTx4. Scale bar, 5 m. Data are means ± SEM. Number of cells (or experimental repeats) is indicated in each graph. Significance values are respect control condition as determined by Kruskal-Wallis test followed by Dunn's post hoc test or ANOVA followed by Dunnett's post hoc test (E).
Fig. 4. Piezo1 controls delivery of Rab11-FIP3 endosomes to the cytokinetic ring. (A) Immunolocalization of Rab11 at the midbody of siControl-, siPiezo1-, GsMTx4-, siPacsin3-, and siPacsin3 + Yoda1-treated HMECs. Immunolocalization of -tubulin in white. Scale bars, 5 m. (B) Quantification of Rab11 intensity at the ICB under the conditions is shown in (A). (C) Nuclear staining with DAPI (blue) in HMECs transfected with Rab11-WT-GFP, dominant-negative Rab11-S25N-GFP, or dominant-positive Rab11-Q70L-GFP in the presence/absence of GsMTx4. Scale bars, 10 m. (D) Quantification of nuclei in HMECs overexpressing pcDNA3 (vehicle = 41 and GsMTx4 = 44), Rab11-WT (vehicle = 62 and GsMtx4 = 57), Rab11-S25N (vehicle = 50 and GsMTx4 = 38), or Rab11-Q70L (vehicle = 59 and GsMTx4 = 56) in the presence or absence of GsMTx4. CHMP4B (E) and ALIX (F) immunofluorescence intensities at the midbody of HMECs overexpressing pcDNA3, Rab11-WT, Rab11-S25N, and Rab11-Q70L in the presence or absence of GsMTx4. Scale bars, 5 m. Quantification of CHMP4B (G) and ALIX (H) immunofluorescence intensities in HMECs under the conditions shown. Data are means ± SEM. Number of cells (or experimental repeats) is indicated in each graph. Significance values are respect control condition as determined by Kruskal-Wallis test followed by Dunn's post hoc test or ANOVA followed by Dunnett's post hoc test (B).
Fig. 5. FIP3 links Piezo1-generated Ca 2+ signals to the recruitment of the abscission machinery. (A) Immunolocalization of FIP3 at the midbody of siControl-, siPiezo1-, GsMTx4-, siPacsin3-, and siPacsin3 + Yoda1-treated HMECs. Immunolocalization of -tubulin in white. Scale bars, 5 m. (B) Quantification of FIP3 signal at the ICB under the conditions shown in (A). (C) DAPI staining of the nuclei in HMECs overexpressing FIP3-WT and FIP3-4DA in the presence and absence of GsMTx4 or Yoda1. Scale bars, 10 m. (D) Quantification of nuclei in HMECs overexpressing pcDNA3 (vehicle = 97 and GsMTx4 = 104), FIP3-WT (vehicle = 114, GsMTx4 = 65, and Yoda1 = 71), and FIP3-4DA (vehicle = 75, GsMTx4 = 67, and Yoda1 = 89). (E) CHMP4B immunofluorescence of HMECs overexpressing FIP3-WT and FIP3-4DA in the presence and absence of GsMTx4 or Yoda1. (F) Quantification of CHMP4B immunofluorescence intensity in HMECs under the conditions shown. Data are means ± SEM. When required, number of cells (or experimental repeats) is indicated in each graph. Significance values are respect control condition as determined by Kruskal-Wallis test followed by Dunn's post hoc test or ANOVA followed by Dunnett's post hoc test (B). (G) Cartoon model of cytokinesis regulation by the Piezo1 channel. Mechanical forces exerted at the ICB activate Piezo1 channel generating a marked and localized increase in intracellular calcium (red shading). The increase in intracellular Ca 2+ concentration is sensed by FIP3 to direct the transport of ALIX-containing Rab11-FIP3 endosomes to the ICB where ALIX recruits CHMP4B to complete abscission.
The mechanosensitive Piezo1 channel controls endosome trafficking for an efficient cytokinetic abscission

October 2021

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300 Reads

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18 Citations

Science Advances

Mechanical forces are exerted throughout cytokinesis, the final step of cell division. Yet, how forces are transduced and affect the signaling dynamics of cytokinetic proteins remains poorly characterized. We now show that the mechanosensitive Piezo1 channel is activated at the intercellular bridge (ICB) connecting daughter cells to regulate abscission. Inhibition of Piezo1 caused multinucleation both in vitro and in vivo. Piezo1 positioning at the ICB during cytokinesis depends on Pacsin3. Pharmacological and genetic inhibition of Piezo1 or Pacsin3 resulted in mislocation of Rab11-family-interacting protein 3 (Rab11-FIP3) endosomes, apoptosis-linked gene 2-interacting protein X (ALIX), and endosomal sorting complex required for transport III (ESCRT-III). Furthermore, we identified FIP3 as the link between Piezo1-generated Ca2+ signals and ALIX delivery to the ICB, where ALIX recruits the ESCRT-III component charged multivesicular body protein 4B, which promotes abscission. These results provide a different view of how mechanical forces participate in cytokinesis and identify Piezo1 as a key modulator of endosome trafficking.


The fluid shear stress sensor TRPM7 regulates tumor cell intravasation

July 2021

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320 Reads

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80 Citations

Science Advances

Tumor cell intravasation preferentially occurs in regions of low fluid shear because high shear is detrimental to tumor cells. Here, we describe a molecular mechanism by which cells avoid high shear during intravasation. The transition from migration to intravasation was modeled using a microfluidic device where cells migrating inside longitudinal tissue-like microchannels encounter an orthogonal channel in which fluid flow induces physiological shear stresses. This approach was complemented with intravital microscopy, patch-clamp, and signal transduction imaging techniques. Fluid shear–induced activation of the transient receptor potential melastatin 7 (TRPM7) channel promotes extracellular calcium influx, which then activates RhoA/myosin-II and calmodulin/IQGAP1/Cdc42 pathways to coordinate reversal of migration direction, thereby avoiding shear stress. Cells displaying higher shear sensitivity due to higher TRPM7 activity levels intravasate less efficiently and establish less invasive metastatic lesions. This study provides a mechanistic interpretation for the role of shear stress and its sensor, TRPM7, in tumor cell intravasation.


Fig. 1. LRRC8A activation is essential for cell fitness upon hypertonicity. (A) Schematic diagram of unbiased CRISPR/Cas9 genome-wide genetic screening to identify genes relevant for adaptation to high osmolarity. (B) Representation of the MAGeCK per-gene fitness effect score (-log 10 RRA score). A higher fitness effect indicates a higher degree of importance for cell viability upon hyperosmotic stress. Gene name of LRRC8A is indicated, together with the name of nontargeting controls (LacZ, EGFP, luciferase, blue dots). (C and D) Crystal violet staining or PI staining (to monitor cell death) of LZ, LRRC8A-KO, and HeLa cells treated with DCPIB and exposed to different doses of hypertonic stress. P values determined by one-way ANOVA followed by post hoc Dunnett's test versus LZ control group. (E) Mean ± SEM. YFP fluorescence changes (normalized to the baseline in isotonic conditions) in LZ and KO HeLa cells transiently transfected with halide-sensitive YFP. Addition of isotonic and hypertonic bathing solutions containing NaCl or NaI is indicated by boxes at the top of the recordings. (F) Percentage of YFP quenching measured 8 min after the addition of NaI. Mean ± SEM (LZ, n = 66; KO, n = 59). P values were determined by twotailed Student's t test. (G) Time course of whole-cell chloride currents recorded at -100 mV and +100 mV in LZ (gray) and KO (red) HeLa cells dialyzed with hyperosmotic solutions with an IS of 0.08 and then exposed to hypertonic solutions followed by exposure to 36 μM DCPIB. (Right) Families of chloride currents measured at the points indicated in the Left. Cells here held at 0 mV and pulsed from -100 mV to +100 mV in 50-mV steps. (H) Maximal mean current densities measured in LZ and KO HeLa cells under the experimental conditions shown in G. P values determined by Student's t test.
Fig. 2. The p38/MSK1 pathway regulates LRRC8A activation upon hypertonicity. (A) Maximal mean current densities (±SEM) measured in LZ and KO HeLa cells dialyzed with hyperosmotic solutions of 0.08 IS and exposed to hypertonic solutions containing DMSO (0.1%), the p38 inhibitor (SB203580, 10 μM), or the MSK1 inhibitor (SB747651A, 10 μM). P values were determined by one-way ANOVA followed by post hoc Dunnett's test versus a DMSO control group. (B) Western blot analysis of LRRC8A in a Phos-tag gel of extracts obtained from HeLa cells exposed to hypertonic (+100 mM NaCl) solutions in the absence or presence of SB747651A. (C) Schematic diagram of MSK1 phosphorylation sites in LRRC8A. (D) In vitro phosphorylation by MSK1 of the ICL (amino acids 144 to 258) of LRRC8A-WT as well as of single mutants. (E) In vitro phosphorylation of full-length LRRC8A-WT and LRRC8A-S217A by MSK1. (F) Maximal mean current densities (±SEM) measured in stable LRRC8A KD HeLa cells overexpressing shRNA-resistant LRRC8A-WT or LRRC8A-S217A. Cells were dialyzed with hyperosmotic solutions with an IS of 0.08 and exposed to hypertonic solutions. P values were determined by one-way ANOVA followed by post hoc Dunnett's test versus KD control group. (G) Maximal mean current densities (±SEM) measured in KD HeLa cells recorded under control isotonic conditions. Cells overexpressed shRNA-resistant WT or S217A LRRC8A with or without coexpression of a constitutively active MSK1 (MSK1-T581D/T700D). P values were determined by Student's t test comparing the effects of MSK1 expression on WT or mutant channel.
Fig. 3. The p38/MSK1 pathway and LRRC8A regulate NKCC-mediated RVI. (A) Time course of relative changes in cell volume of LZ and KO HeLa cells (normalized to isotonic conditions) before and after exposure to a 30% hypertonic medium. Mean ± SEM (n = 6). (B) Percentage of RVI, calculated as the percentage of volume recovered following the initial cell shrinkage at the different time points after the hypertonic stress. (C) Mean RVI (%) calculated at 60 min in LZ (n = 6), KO (n = 6), or p38α-KO (n = 9) HeLa cells. (D) Mean RVI (%) calculated at 60 min in HeLa cells superfused with DMSO (n = 7), the LRRC8A channel inhibitor DCPIB (n = 6), the p38 inhibitor SB203580 (n = 6), or the MSK1 inhibitor SB747651A (n = 4). (E) Mean RVI (%) calculated at 60 min in KD (n = 4) HeLa cells overexpressing shRNA-resistant WT (n = 6) or S217A (n = 4) LRRC8A channels. (F) Mean RVI (%) calculated at 60 min after LZ or KO HeLa cells were exposed to DMSO or 50 μM bumetanide. (G) Relative changes in cell volume measured before and after superfusion of LZ or KO HeLa cells with a 30% hypotonic medium. (H) Mean RVI (%), generated after RVD, was calculated at 60 min after return to isotonic medium, as shown in G (n = 3). P values were determined by two-tailed Student's t test (H), a Bonferroni's all pairwise comparison (F), or one-way ANOVA followed by post hoc Dunnett's test versus control group (Left Bar) (all others).
LRRC8A-containing chloride channel is crucial for cell volume recovery and survival under hypertonic conditions

June 2021

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225 Reads

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29 Citations

Proceedings of the National Academy of Sciences

Significance Rapid regulatory volume increase (RVI) is important for cell survival under hypertonic conditions. RVI is driven by Cl ⁻ uptake via the Na–K–Cl cotransporter (NKCC), which is activated by WNK kinases following a reduction in intracellular [Cl ⁻ ]. However, how intracellular [Cl ⁻ ] is regulated to modulate the WNK–NKCC axis and engage a protective RVI remains unknown. Our work reveals that LRRC8A-containing chloride channel is a key protective factor against hypertonic shocks. Considering that LRRC8A (SWELL1) is typically activated by low ionic strength under hypotonic stress, our results posed another interesting question: what activates this chloride channel under hypertonic stress? We demonstrated that, upon hyperosmotic activation, the p38-MSK1 pathway gates LRRC8A-containing chloride channel to facilitate activation of WNK–NKCC and an effective RVI.


Cross-talk between the calcium channel TRPV4 and reactive oxygen species interlocks adhesive and degradative functions of invadosomes

January 2021

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181 Reads

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15 Citations

Invadosomes support cell invasion by coupling both acto-adhesive and extracellular matrix degradative functions, which are apparently antagonistic. β1-integrin dynamics regulate this coupling, but the actual sensing mechanism and effectors involved have not yet been elucidated. Using genetic and reverse genetic approaches combined with biochemical and imaging techniques, we now show that the calcium channel TRPV4 colocalizes with β1-integrins at the invadosome periphery and regulates its activation and the coupling of acto-adhesive and degradative functions. TRPV4-mediated regulation of podosome function depends on its ability to sense reactive oxygen species (ROS) in invadosomes’ microenvironment and involves activation of the ROS/calcium-sensitive kinase Ask1 and binding of the motor MYO1C. Furthermore, disease-associated TRPV4 gain-of-function mutations that modulate ECM degradation are also implicated in the ROS response, which provides new perspectives in our understanding of the pathophysiology of TRPV4 channelopathies.


The nucleus measures shape changes for cellular proprioception to control dynamic cell behavior

October 2020

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274 Reads

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308 Citations

Science

The physical microenvironment regulates cell behavior during tissue development and homeostasis. How single cells decode information about their geometrical shape under mechanical stress and physical space constraints within tissues remains largely unknown. Here, using a zebrafish model, we show that the nucleus, the biggest cellular organelle, functions as an elastic deformation gauge that enables cells to measure cell shape deformations. Inner nuclear membrane unfolding upon nucleus stretching provides physical information on cellular shape changes and adaptively activates a calcium-dependent mechanotransduction pathway, controlling actomyosin contractility and migration plasticity. Our data support that the nucleus establishes a functional module for cellular proprioception that enables cells to sense shape variations for adapting cellular behavior to their microenvironment.


Structural determinants of TRPV4 inhibition and identification of new antagonists with antiviral activity

October 2020

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122 Reads

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29 Citations

Background and Purpose The transient receptor potential vanilloid 4 (TRPV4) cation channel participates in multiple physiological processes and is also at the core of different diseases, making this channel an interesting pharmacological target with therapeutic potential. However, little is known about the structural elements governing its inhibition. Experimental Approach We have now combined in silico drug discovery and molecular dynamics simulation based on Xenopus tropicalis xTRPV4 structure with functional studies measuring cell Ca²⁺ influx mediated by human TRPV4 channel to characterize the binding site of known TRPV4 inhibitors and to identify novel small molecule channel modulators. Key Results We have found that the inhibitor HC067047 binds to a pocket conformed by residues from S2–S3 linker (xTRPV4‐D542), S4 (xTRPV4‐M583 and Y587 and S5 (xTRPV4‐D609 and F613). This pocket was also used for structure‐based virtual screening in the search of novel channel modulators. Forty potential hits were selected based on the lower docking scores (from ~250,000 compounds) and their effect upon TRPV4 functionally tested. Three were further analysed for stability using molecular dynamics simulation and functionally tested on TRPV4 channels carrying mutations in the binding pocket. Compound NSC151066, shown to require residue xTRPV4‐M583 for its inhibitory effect, presented an IC50 of 145 nM and demonstrated to be an effective antiviral against Zika virus with a potency similar to HC067047. Conclusion and Implications Together, we propose structural insights into the inhibition of TRPV4 and how this information can be used for the design of novel channel modulators. LINKED ARTICLES This article is part of a themed issue on Structure Guided Pharmacology of Membrane Proteins (BJP 75th Anniversary). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v179.14/issuetoc



Fig. 1. Cell deformation in confined environments defines cortical contractility, polarization and fast amoeboid cell migration. (A) Relative cortical myosin II enrichment for decreasing confinement height in un-polarized progenitor cells (n=477 (suspension, unconfined); n=56 (18 µm); n=35 (16 µm); n=103 (13 µm); n=131 (10 µm); n=49 (8.5 µm); n=348 (7 µm)). Significance
Fig. 2. Nuclear envelop unfolding is associated with increasing cortical contractility. (A) Double boxplot of relative cortical myosin II enrichment (left axis, green) and nuclear size increase (right axis, grey) for decreasing confinement height. (B) Exemplary confocal top views (x-y) and side views (y-z) of progenitor stem cells expressing Myl12.1-eGFP stained with DNA-Hoechst and
Fig. 3. Nucleus deformation activates a mechanosensitive lipase signaling pathway regulating myosin II activity. (A) Relative cortical myosin II intensity for progenitor cells cultured in suspension versus 7 µm confinement conditions for control cells (DMEM), with cPLA 2 inhibitor, or injected with cPLA 2 MO and cPLA2 morpholino+cPLA 2 mRNA. (B) Exemplary confocal
Fig. 4. Nucleus unfolding and intracellular positioning enable adaptive cellular response to different types of physical cell deformation. (A) Relative cortical myosin II enrichment for progenitor cells cultured under different osmolarity conditions. (B) Normalized Ca 2+ (Calbryte520) intensity for control (Ctrl) and hypotonic (0.5x) conditions and mechanical
The nucleus measures shape deformation for cellular proprioception and regulates adaptive morphodynamics

December 2019

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415 Reads

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5 Citations

The physical microenvironment regulates cell behavior during tissue development and homeostasis. How single cells decode information about their geometrical shape under mechanical stress and physical space constraints within their local environment remains largely unknown. Here we show that the nucleus, the biggest cellular organelle, functions as a non-dissipative cellular shape deformation gauge that enables cells to continuously measure shape variations on the time scale of seconds. Inner nuclear membrane unfolding together with the relative spatial intracellular positioning of the nucleus provides physical information on the amplitude and type of cellular shape deformation. This adaptively activates a calcium-dependent mechano-transduction pathway, controlling the level of actomyosin contractility and migration plasticity. Our data support that the nucleus establishes a functional module for cellular proprioception that enables cells to sense shape variations for adapting cellular behaviour to their microenvironment. One Sentence Summary The nucleus functions as an active deformation sensor that enables cells to adapt their behavior to the tissue microenvironment.


Citations (75)


... Tumor blood vessels, however, often exhibit abnormal structure and function [96,97]. This vascular abnormality creates significant fluid pressure within the TME, encompassing capillary pressure, interstitial fluid pressure, and shear stress [98,99]. Tumor vessel walls typically have much larger gaps than normal vessels, leading to plasma leakage into the interstitial space and an increase in blood viscosity [100,101]. ...

Reference:

Mechanical forces in the tumor microenvironment: roles, pathways, and therapeutic approaches
Extracellular fluid viscosity enhances cell migration and cancer dissemination

Nature

... These proteins regulate local transmembrane solute and water fluxes and, if unevenly distributed, they can generate substantial intracellular osmotic pressure gradients, the primary driving force behind the osmotic engine model 80,90 , a mechanism of self-osmophoresis. This migration mode has been proposed as the cell migration mechanism used by cancer cells within microchannels 80,91 . It was proposed to be facilitated by local cell swelling and shrinkage at the cell leading and trailing edge, respectively, caused by transmembrane water fluxes. ...

Polarized NHE1 and SWELL1 regulate migration direction, efficiency and metastasis

... Interestingly, we observe that Piezo1 is partially located at E-cadherin adherence junctions as well as focal adhesions, but is absent from belt-like junctions. This is consistent with previous work showing Piezo1 preferential localization at regions of high actomyosin tension: the contractile rear of migrating keratinocytes to controlling the speed of wound healing 72 , within focal adhesions of various cell types 59,73 , and to the intercellular bridge during cytokinesis 74 . This leads us to postulate that Piezo1 is localized at areas of high cortex tension, and it translocates away from the belt-like adhesion as the cortical contractility becomes lower. ...

The mechanosensitive Piezo1 channel controls endosome trafficking for an efficient cytokinetic abscission

Science Advances

... Inhibiting or deleting the PC1-TAZ mechanotransduction pathway decreased ectopic ossification and ECM formation. Cells utilize various mechanisms to sense mechanical forces, such as Piezo1 and Piezo2 for membrane tension, [35][36][37] TRPM7, a transport enzyme-coupled ion channel for fluid shear stress, 38 and Integrin, a transmembrane receptor for extracellular matrix tension. 32 We showed that CTSK + cells transmitted biomechanical responses through transmembrane mechanosensitive proteins PC1. ...

The fluid shear stress sensor TRPM7 regulates tumor cell intravasation

Science Advances

... Enhanced WNK1 signaling increases Na + /K + / Cl − influx while decreasing K + /Cl − efflux. The net result is the flow of water into the cell [29,30,56]. The WNK kinase inhibited NK cells likely shrink due to a net ion efflux, and since they cannot activate the WNK/OSR1/ transporter cascade, they fail to recover their cell volume. ...

LRRC8A-containing chloride channel is crucial for cell volume recovery and survival under hypertonic conditions

Proceedings of the National Academy of Sciences

... For instance, ROS production significantly affects the proliferation and migration ability of pancreatic cancer cells, and mediates the progression of NPC through AKT/mTOR signaling [14]. TRPV4 activation enhances mitochondrial ROS production in response to cellular stress due to increased calcium influx [15]. ROS is primarily generated during oxidative phosphorylation by the NADPH oxidase (NOX) family and the mitochondrial electron transport chain. ...

Cross-talk between the calcium channel TRPV4 and reactive oxygen species interlocks adhesive and degradative functions of invadosomes

... Cells constantly sense and respond to mechanical inputs, and the interplay between nuclear deformation, morphology and chromatin organization emerges as a vital process underlying cell mechanoresponse 1,2 . Recent studies show that the nucleus can act as a "ruler" to measure cellular and nuclear shape variations originating from external compression, to interpret and respond to cues important for survival, movement and growth 3,4 . ...

The nucleus measures shape changes for cellular proprioception to control dynamic cell behavior
  • Citing Article
  • October 2020

Science

... In the process of respiratory virus infection, this channel can aggravate acute lung injury caused by virus infection by prompting innate immune cells (such as macrophages and neutrophils) to release proteases, cytokines and reactive oxygen species [11]. Targeting TRPV4 inhibitors can diminish the infectivity of herpes simplex virus, Zika virus, hepatitis C, and dengue fever [12,13]. Together, the findings indicate that TRPV4 plays an important role in regulating helicase-dependent RNA metabolism, suggesting that TRPV4 can be used as a potential antiviral host factor. ...

Structural determinants of TRPV4 inhibition and identification of new antagonists with antiviral activity

... More globally, recent work by our lab and others (Lomakin et al., 2019;Venturini et al., 2019) showed that contractility is activated upon confinement by a mechanoresponse pathway mediated by the release of calcium and the activation of the enzyme cPLA2 (Enyedi et al., 2016). These works proposed that the contractility activation happens under 5µm compression due to nuclear stretching and that the stretch depended on the cell cycle stage or the state of the nuclear lamina. ...

The nucleus measures shape deformation for cellular proprioception and regulates adaptive morphodynamics

... In this review, we have provided an overview of the primary cell migration mechanisms that animal cells use to move through distinct cellular environments. Although each mechanism relies on distinct physical principles, cells may simultaneously employ multiple migration mechanisms or utilize a specific mechanism based on their internal state, environmental physicochemical conditions or in response to a cellular perturbation [117][118][119][120][121] . Phenotypic switching 122 , wherein cells alter their migration mechanisms, is particularly essential for cancer cells 51 and immune cells 117 , which frequently encounter a myriad of physical and chemical barriers. ...

Cell sensing and decision-making in confinement: The role of TRPM7 in a tug of war between hydraulic pressure and cross-sectional area

Science Advances