A Comprehensive and Integrative Approach to MeCP2 Disease Transcriptomics.

ABSTRACT: Mutations in MeCP2 result in a crippling neurological disease, but we lack a lucid picture of MeCP2's molecular role. Individual transcriptomic studies yield inconsistent differentially expressed genes. To overcome these issues, we demonstrate a methodology to analyze all modern public data. We obtained relevant raw public transcriptomic data from GEO and ENA, then homogeneously processed it (QC, alignment to reference, differential expression analysis). We present a web portal to interactively access the mouse data, and we discovered a commonly perturbed core set of genes that transcends the limitations of any individual study. We then found functionally distinct, consistently up- and downregulated subsets within these genes and some bias to their location. We present this common core of

SUBMITTER: Trostle AJ 

PROVIDER: S-EPMC10049497 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature