Supplementary data from: Inherent single-cell heterogeneity of the transcriptional response to hypoxia in cancer cells
Data files
Sep 10, 2025 version files 208.89 GB
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PythonScript_DensityPlots.ipynb
24.94 KB
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PythonScript_HeterogeneityPlots.ipynb
26.06 KB
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README.md
948 B
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Wilk_SupplementaryFigures.zip
208.89 GB
Abstract
Hypoxia-inducible factor (HIF) is a master regulator of cancer cell adaptation to tumor hypoxia and is involved in cancer progression. Single-cell (sc) differences in the HIF response allow for tumor evolution and cause therapy resistance. These sc-differences are usually ascribed to tumor microenvironmental differences and/or clonal (epi)genetic variability. However, the sc-heterogeneity of the HIF response in otherwise identical cells cultured under defined in vitro conditions has not yet been addressed. Therefore, we analyzed the sc-response to hypoxia in nonclonal cell lines and multiple clonal derivatives, including HIF-1a or HIF-2a knockouts. While HIF-1a and HIF-1 target mRNA sc-heterogeneity was slightly higher than global transcription or specific housekeeping mRNAs, HIF-2a and especially HIF-2 target mRNA sc-heterogeneity was extraordinary, and remained in independent clones and following HIFa knockouts. Unexpectedly, neither HIF-2a mRNA nor nuclear protein levels correlated with target mRNA levels. Unsupervised but not supervised HIF target gene dimensionality reduction revealed the initial sample composition after scRNAseq, demonstrating that, owing to sc-heterogeneity, individual HIF target genes are not sufficient to unequivocally identify hypoxic cancer cells. In conclusion, the pronounced intrinsic sc-heterogeneity of the HIF response represents a hitherto unrecognized feature of cancer cells that impairs clinical HIF pathway-dependent cancer cell identification and targeting.
Dataset DOI: 10.5061/dryad.5x69p8dg4
Description of the data and file structure
Underlying primary data for the supplement of the publication Wilk et al., "Inherent single-cell heterogeneity of the transcriptional response to hypoxia in cancer cells" in NAR Cancer, 2025, 7, zcaf021. All information about data content and file structure can be found therein.
Files and variables
File: Wilk_SupplementaryFigures.zip, PythonScript_DensityPlots.ipynb, and PythonScript_HeterogeneityPlots.ipynb
Description: Underlying supplementary data of Figures S1 to S12 of the publication Wilk et al., "Inherent single-cell heterogeneity of the transcriptional response to hypoxia in cancer cells".
Code/software
Image viewer, Excel, cell profiler, Adobe acrobat, Python script (ipynb).
