Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Shifting the optimal stiffness for cell migration

ABSTRACT: Cell migration is central to many biological processes including embryonic development, wound healing, and cancer progression. Cell migration is sensitive to environmental stiffness, and many cell types exhibit a stiffness optimum at which migration is maximal. Here we present a cell migration simulator that predicts a stiffness optimum that can be shifted by altering the number of active molecular motors and clutches. This prediction is verified experimentally by comparing cell traction and F-actin retrograde flow for two cell types with differing amounts of active motors and clutches: embryonic chick forebrain neurons (ECFNs; optimum ~1 kPa) and U251 glioma cells (optimum ~100 kPa). In addition, the model predicts, and experiments confirm, that the stiffness optimum of U251 glioma cell migration, morphology, and F-actin retrograde flow rate can be shifted to lower stiffness by simultaneous drug inhibition of myosin II motors and integrin-mediated adhesions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE95680 | GEO | 2017/05/23

SECONDARY ACCESSION(S): PRJNA377905

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Next-generation sequencing facilitates quantitative analysis of rat BMSCs in soft or stiff SA hydrogel

Project description:Purpose: To identify genes and the molecular pathways involved in the MSCs response to extracellular matrix stiffness, we performed RNA-sequencing of MSCs which cultured in soft (2 kPa) and stiff (18 kPa) SA hydrogels. Methods: mRNA profiles of MSCs cultured in soft (2 kPa) and stiff (18 kPa) SA hydrogel for 48 h were generated by deep sequencing, in quadruplicate, using Illumina HiSeq 2000. Results: Using an optimized data analysis workflow, we identified 33950 transcripts in MSCs with BWA workflow. Conclusions: Our results present the detailed analysis of MSCs transcriptomes cultured in soft (2 kPa) and stiff (18 kPa) matrix, and found that matrix stiffness dominated multiple mRNA pathways in MSCs.

2021-08-06 | GSE181512 | GEO

Transcriptomic sequencing analysis of glioblastoma cell lines DBTRG and U251.

Project description:We showed that DBTRG is more invasive than U251 cell lines by novel brain-stiffness-mimicking matrix gel invasion platform and transwell invasion assay. To understand the molecular mechanisms of DBTRG being more invasive than U251, we performed transcriptomic sequencing analysis of DBTRG and U251 cell lines.

2022-04-18 | GSE200574 | GEO

Biphasic Regulation of Epigenetic State by Matrix Stiffness during Cell Reprogramming [RNA-seq]

Project description:In this study, we investigate how matrix stiffness regulates chromatin reorganization and cell reprogramming, and find that matrix stiffness acts as a biphasic regulator of epigenetic state and fibroblast-to-neuron conversion efficiency, maximized at an intermediate stiffness of 20 kPa. ATAC-sequencing analysis shows the same trend of chromatin accessibility to neuronal genes at these stiffness levels. Concurrently, we observe peak levels of histone acetylation and histone acetyltransferase (HAT) activity in the nucleus on matrices at 20 kPa, and inhibiting HAT activity abolishes matrix stiffness effects. G-actin and cofilin, the co-transporters shuttling HAT into the nucleus, rises with decreasing matrix stiffness; however, reduced importin-9 on soft matrices limits nuclear transport. These two factors result in a biphasic regulation of HAT transport into the nucleus, which is directly demonstrated on matrices with dynamically tunable stiffness. These findings unravel a mechanism of the mechano-epigenetic regulation that is valuable for cell engineering in disease modeling and regenerative medicine applications.

2023-12-19 | GSE250068 | GEO

Biphasic Regulation of Epigenetic State by Matrix Stiffness during Cell Reprogramming [ATAC-seq]

2023-12-19 | GSE250066 | GEO

Regan2020 - Adhesion_CIP_Migration_CellCycle_Apoptosis_v2

Project description:This 121-node Boolean regulatory network model that synthesizes mechanosensitive signaling that links anchorage and matrix stiffness to proliferation and migration, and cell density to contact inhibition. It can reproduce anchorage dependence and anoikis, detachment-induced cytokinesis errors, the effect of matrix stiffness on proliferation, and contact inhibition of proliferation and migration by two mechanisms that converge on the YAP transcription factor. In addition, this model offers testable predictions related to cell cycle-dependent sensitivity to anoikis, the molecular requirements for abolishing contact inhibition, substrate stiffness-dependent expression of the catalytic subunit of PI3K, heterogeneity of migratory and non-migratory phenotypes in sub-confluent monolayers, and linked inhibition but semi-independent induction of proliferation versus migration as a function of cell density and mitogenic stimulation. The model is an extended version of the growth signaling, cell cycle and apoptosis model published in Sizek et al, PLoS Comp. Biol. 15(3): e1006402, 2019.

2020-08-26 | MODEL2006170001 | BioModels

RNA-seq of primary rat macrophages cultured on substrates of defined stiffness

Project description:Cells interact with their mechanical environment and respond in consequence. Mechanical cues can have a wide range of influences on cell behaviour, ranging from guidance of differentiation and cell fate to immune activation. The impact of substrate stiffness on primary macrophages - a key player in innate immunity and inflammation - had not been previously studied. We prepared bone marrow-derived macrophage cultures from adult rat hematopoietic stem cells exposed to M-CSF, and cultured these on polyacrylamide substrates of controlled stiffness (ranging from 50 to 0.1 kPa shear modulus, covering the range found in physiological tissues) for 3 days. The RNA from these cells was then extracted and sequenced.

2023-04-15 | E-MTAB-7900 | biostudies-arrayexpress

RNA-seq of CAF05s grown on different substrates

Project description:Almost all solid tumors become stiff with progression of cancer. Cancer Associated Fibroblasts (CAFs), most abundant stromal cells in the tumor microenvironment (TME), are known to mediate the stiffening. While the biochemical crosstalk between CAFs and cancer cells have been widely investigated, it is yet not clear whether CAFs in stiffer TME promote metastatic progression, and if so, how. To address this question, here we explore the role of mechanical stiffness and cell traction force in regulating human colorectal CAF (CAF05 cell line) gene expressions that are relevant to metastatic progression. We cultured CAFs on 2D polyacrylamide hydrogels with increasing elastic modulus (E) of 1, 10 and 40 kPa, and quantified corresponding cell spreading area and cytoskeletal force. We performed genome-wide transcriptome analyses in these cells to identify differentially expressed genes on 40 KPa compared to those on 1 kPa substrate. The latter represents normal tissue stiffness of colon.

2023-04-18 | GSE229742 | GEO

RNA-seq of CAFs grown on different substrates

2022-06-15 | GSE205937 | GEO

Genes regulated by has-mir-31 in glioma cell line

Project description:Overexpression of miR-31 inhibits the migration and invasion ability of glioma cell. We sought to obtain the genes regulated by mir-31 in glioma cell line. The gene expression of U251-mir-31 (U251 over expressing mir-31) and U251-control. U251-Control and U251-mir-31 cells were cultured in DMEM cell culture media for RNA extraction and hybridization on Affymetrix.GeneChip.HG-U133_Plus_2.

2012-09-01 | E-GEOD-28810 | biostudies-arrayexpress

Substrate elasticity does not impact on DNA methylation changes during differentiation of pluripotent stem cells.

Project description:Substrate elasticity may direct cell-fate decisions of stem cells. However, it is largely unclear how matrix stiffness impacts on differentiation of induced pluripotent stem cells (iPSCs) and if this is also reflected by epigenetic modifications. We have therefore cultured iPSCs on tissue culture plastic (TCP) and polydimethylsiloxane (PDMS) with different Young´s modulus (0.2 kPa, 16 kPa, or 64 kPa) to investigate the sequel on growth and differentiation towards endoderm, mesoderm, and ectoderm. Immunofluorescence and gene expression of canonical differentiation markers was hardly affected by the substrates. Notably, when we analyzed DNA methylation profiles of iPSCs or after three-lineage differentiation, we did not see any significant differences on the three different PDMS elasticities. Only when we compared DNA methylation profiles on PDMS-substrates versus TCP, we observed clear epigenetic differences, particularly upon mesodermal differentiation. Taken together, stiffness of PDMS-substrates did not impact on directed differentiation of iPSCs, whereas the moderate epigenetic differences on TCP might also be attributed to other chemical parameters.

2024-06-12 | GSE253190 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data