Nucleic Acids ResJClub
iCellOmics: connecting multi-omics profiles and phenotype evidence across industrially relevant cell lines.
Nucleic Acids Research · · Journal Article
Gao, Chen + more
Abstract ↗AI summary
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iCellOmics is an open-access multi-omics database for 17 industrially relevant cell lines, integrating 37,213 literature-curated gene–phenotype relationships across 104 phenotype subcategories.
- Why it matters: Multi-omics profiles and phenotype evidence for industrial cell lines are scattered across repositories and publications, limiting unified analysis for host-cell engineering and comparative studies.
- What they did: The release unifies reference genomes for seven species and supports cell-line- and gene-centric browsing, including cross-omics results and online GO/KEGG enrichment tools.
- The result: By consolidating 144,018 protein-coding genes, 170,408,888 variants, 673 differential-expression comparisons, and 30 single-cell RNA-seq BioProjects (1,047,274 cells), it enables starting points for investigating gene–phenotype relationships and guiding improved producer-line development.
The findingWhy it mattersWhat they didThe result
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