Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets.

ABSTRACT: Distinct gene expression patterns within cells are foundational for the diversity of functions and unique characteristics observed in specific contexts, such as human tissues and cell types. Though some biological processes commonly occur across contexts, by harnessing the vast amounts of available gene expression data, we can decipher the processes that are unique to a specific context. Therefore, with the goal of developing a portrait of context-specific patterns to better elucidate how they govern distinct biological processes, this work presents a large-scale exploration of transcriptomic signatures across three different contexts (i.e., tissues, cell types, and cell lines) by leveraging over 600 gene expression datasets categorized into 98 subcontexts. The strongest pairwise correlati

SUBMITTER: Figueiredo RQ 

PROVIDER: S-EPMC9202106 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature