Mechanomics RT-DC Set 01 - Glioblastoma
<p dir="ltr">Entry is a part of <b>Mechanomics</b> collection (<a href="https://doi.org/10.6084/m9.figshare.c.5399826" target="_blank">10.6084/m9.figshare.c.5399826</a>) that contains data supporting findings presented in the following manu...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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إضافة وسم
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| الملخص: | <p dir="ltr">Entry is a part of <b>Mechanomics</b> collection (<a href="https://doi.org/10.6084/m9.figshare.c.5399826" target="_blank">10.6084/m9.figshare.c.5399826</a>) that contains data supporting findings presented in the following manuscript:</p><p dir="ltr"><i>Urbanska, M., Ge, Y.</i> et al.,<br><b><i>De novo identification of universal cell mechanics gene signatures</i></b></p><p dir="ltr">BiorXiv: <a href="https://doi.org/10.1101/2021.04.26.441418" target="_blank">https://doi.org/10.1101/2021.04.26.441418</a><i>; </i><i>first published: </i>27th April 2021<i>, last updated: </i>4th Nov 2024<br>eLife: <a href="https://doi.org/10.7554/eLife.87930.2" target="_blank">https://doi.org/10.7554/eLife.87930</a><i>; first published: </i>23rd March 2023<i>, last updated: </i>27th Dec 2024</p><p dir="ltr"><br></p><p dir="ltr">This dataset contains mechanical measurement of three primary brain tumor cell lines (X01, X04, X08), in three distinct growth conditions:<br>• Serum<br>• EGF (epidermal growth factor)<br>• FGFJI (fibroblast growth factor combined with a JAK inhibitor).</p><p dir="ltr">These conditions are characterised by low, medium and high activation of STAT3-Ser/Hes3 signaling axis, respectively.</p><p dir="ltr">The cell lines were described and characterised within a framework of a previous publication by Poser et al (<a href="https://doi.org/10.1096/fj.201802603rr" rel="noreferrer" target="_blank"><i>FASEB J.</i>, 2019</a>).</p><p dir="ltr">Measurements were performed using real-time deformability cytometry (RT-DC).<br><b>_rtdc.zip</b> - contains data acquired during the measurments in '*.rtdc' format<br><b>_tsv.zip</b> - contains extended data in a '*.tsv' format<br><b>_glmm.zip</b> - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models<br></p> |
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