Visualizing genomic characteristics across an RNA-Seq based reference landscape of normal and neoplastic brain.

ABSTRACT: In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform Manifold Approximation and Projection (UMAP) to RNA-Seq data. We assembled a reference Brain-UMAP including 702 adult gliomas, 802 pediatric tumors and 1409 healthy normal brain samples, which can be utilized to investigate the wealth of information obtained from combining several publicly available datasets to study a single organ site. Normal brain regions and tumor types create distinct clusters and because the landscape is generated by RNA-Seq, comparative gene expression profiles and gene ontology patterns are readily evident. To our knowledge, this is the first meta-analysis that allows for comp

SUBMITTER: Arora S 

PROVIDER: S-EPMC10014937 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature