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Generating VISA scores on glioma bulk RNAseq and single cell RNAseq glioma

<p>Tissue stiffness is collectively determined by the stiffness of ECM and cells. Gliomas are characterized by dysregulated expression of ECM proteins, ECM crosslinking enzymes, and aberrant cellular contractility.While The RNA sequencing datasets have been comprehensively analyzed to interrogate tumor genomes, epigenomes, and transcriptomes, we realized an untapped potential: using transcriptomic data coupled with analysis of gene expression associated with ECM and actomyosin contractility to establish a bioinformatic tool, which we named VIrtual Stiffness Algorithm (VISA), capable of inferring tissue stiffness.</p> <p>This data repository is for reproducing VISA scores on glioma bulk RNAseq and single cell RNAseq glioma.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0