Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains data supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of three primary brain tumor cell lines (X01, X04, X08), in three distinct growth conditions:
• Serum
• EGF (epidermal growth factor)
• FGFJI (fibroblast growth factor combined with a JAK inhibitor).These conditions are characterised by low, medium and high activation of STAT3-Ser/Hes3 signaling axis, respectively.The cell lines were described and characterised within a framework of a previous publication by Poser et al (FASEB J., 2019).Measurements were performed using real-time deformability cytometry (RT-DC).
_rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains data supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of three primary brain tumor cell lines (X01, X04, X08), in three distinct growth conditions:
• Serum
• EGF (epidermal growth factor)
• FGFJI (fibroblast growth factor combined with a JAK inhibitor).These conditions are characterised by low, medium and high activation of STAT3-Ser/Hes3 signaling axis, respectively.The cell lines were described and characterised within a framework of a previous publication by Poser et al (FASEB J., 2019).Measurements were performed using real-time deformability cytometry (RT-DC).
_rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

An exmaplry .lif file with lifetime data acquired with Leica Stellaris 8 and tif files exported with LAS X software v3.5.6.

An exmaplry .lif file with lifetime data acquired with Leica Stellaris 8 and tif files exported with LAS X software v3.5.6.

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains data supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al., 2021 bioRxivDe novo identification of universal cell mechanics regulatorshttps://doi.org/10.1101/2021.04.26.441418
This dataset contains mechanical measurement of transient over-expression of CAV1 in TGBC18TKB (TGBC) adenocarcinoma cell line.
Measurements were performed using real-time fluorescence and deformability cytometry (RT-FDC).
_rtdc.zip - contains data acquired during the measurments in '.rtdc' format_tsv.zip - contains extended data in a '.tsv' format_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains materials supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of six carcinoma cell lines obtained from RIKEN institute:
• ECC4 (RCB0982) - intestine - small-cell carcinoma
• TGBC18TKB (RCB0982) - intestine - adenocarcinoma• WA-hT (RCB2279) - lung - small-cell carcinoma
• EBC-1 (RCB1965) - lung - squamous cell carcinoma*• A549 (RCB0098) - lung - adenocarcinoma
• ECC10 (RCB0983) - stomach - small-cell carcinoma
• MKN45 (RCB1001) - stomach - adenocarcinoma
• MKN1 (RCB1003) - stomach - adenocarcinoma.
this dataset was removed from later versions of the manuscriptMeasurements were performed using real-time deformability cytometry (RT-DC)._rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '*.tsv' format_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains materials supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of transient over-expression of CAV1 in ECC4 small-cell carcinoma cell line.Measurements were performed using real-time fluorescence and deformability cytometry (RT-FDC)._rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains materials supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of MCF10A cell lines with single-allele PIK3CA mutation E545K in exon 9 (ex9) or H1024R in exon 20 (ex20) (Juvin et al., 2013, PLoS One). These cell lines were previously generated by homologous recombination by Horizon Discovery LTD, UK and were kindly provided, together with an isogenic wild type (wt) control, by L.R. Stephens.Lines:
• MCF10A wild type (wt)• MCF10A PIK3CA mutation E545K in exon 9 (ex9)
• MCF10A H1024R in exon 20 (ex20).
not used in the final version of the manuscript Measurements were performed using real-time deformability cytometry (RT-DC).
_rtdc.zip - contains data acquired during the measurments in '.rtdc' format_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models
Juvin, V. et al. Signaling via Class IA Phosphoinositide 3-Kinases (PI3K) in Human, Breast-Derived Cell Lines. PLoS One 8, (2013). https://doi.org/10.1371/journal.pone.0075045

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains materials supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of CAV1 knock-down in TGBC18TKB (TGBC) adenocarcinoma cell line performed using esiRNA from Eupheria Biotech GmbH.Measurements were performed using real-time deformability cytometry (RT-DC)._rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models

Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains materials supporting findings presented in the following manuscript:Urbanska, M., Ge, Y. et al.,
De novo identification of universal cell mechanics gene signaturesBiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024
eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024
This dataset contains mechanical measurement of CAV1 knock-down in TGBC18TKB (TGBC) adenocarcinoma cell line performed using ON TARGETplus siRNA from Dharmacon.Measurements were performed using real-time deformability cytometry (RT-DC)._rtdc.zip - contains data acquired during the measurments in '.rtdc' format
_tsv.zip - contains extended data in a '.tsv' format
_glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models