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ITGB4 in Human A375 Melanoma Constricted Migration -- Imaging and Flow Cytometry Datasets

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/cfyrmwsf8y
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This data accompanies the iScience publication: Playter et al. 2025 "Deciphering Pre-existing and Induced 3D Genome Architecture Changes involved in Constricted Melanoma Migration". Preprint available at BioRxiv (see link below) and accepted manuscript (see link below) contain all detailed methods for reproducing the data and figures made from the raw data included here. The ITGB4Data_README.docx file explains all the data and files included. These data support the investigation of changes in genome architecture associated with constricted migration. Metastatic cancer cells traverse constricted spaces that exert forces on their nucleus and the genomic contents within. Cancerous tumors are highly heterogeneous and not all cells within them can achieve such a feat. In this study, we investigated what initial genome architecture characteristics favor the constricted migratory ability of cancer cells and which arise only after passage through multiple constrictions. We identified a cell surface protein (ITGB4) whose expression correlates with increased initial constricted migration ability in human melanoma A375 cells. Sorting out this subpopulation allowed us to identify cellular and nuclear features that pre-exist and favor migration, as well as alterations that only appear after cells have passed through constrictions. Data deposited here show the raw data for each cell sorting and flow cytometry experiment labeling ITGB4, images showing the phenotype and nuclear shape of melanoma cells that express or do not express ITGB4, and data tracking the migration efficiency of these cell populations. Our study reveals 3D genome structure contributions to both selection and induction mechanisms of cell fate change during cancer metastasis.
创建时间:
2025-04-11
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