Nature communications, 2020-02, Vol.11 (1), p.735-16, Article 735
2020
Details
- Autor(en) / Beteiligte
- Titel
- Integrative pathway enrichment analysis of multivariate omics data
- Ist Teil von
- Nature communications, 2020-02, Vol.11 (1), p.735-16, Article 735
- Ort / Verlag
- England: Nature Publishing Group
- Erscheinungsjahr
- 2020
- Link zum Volltext
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- Multi-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. As part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we integrated genes with coding and non-coding mutations and revealed frequently mutated pathways and additional cancer genes with infrequent mutations. We also analyzed prognostic molecular pathways by integrating genomic and transcriptomic features of 1780 breast cancers and highlighted associations with immune response and anti-apoptotic signaling. Integration of ChIP-seq and RNA-seq data for master regulators of the Hippo pathway across normal human tissues identified processes of tissue regeneration and stem cell regulation. ActivePathways is a versatile method that improves systems-level understanding of cellular organization in health and disease through integration of multiple molecular datasets and pathway annotations.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2041-1723eISSN: 2041-1723DOI: 10.1038/s41467-019-13983-9Titel-ID: cdi_doaj_primary_oai_doaj_org_article_0e1be01e74114d78838f12db1d7166ab
- Format
- –
- Schlagworte
- Adenocarcinoma - genetics, Adenocarcinoma - metabolism, Annotations, Apoptosis, Apoptosis - genetics, Basic Medicine, Bioinformatik (beräkningsbiologi) (tillämpningar under 10610), Biological analysis, Breast, Breast cancer, Breast Neoplasms - genetics, Breast Neoplasms - immunology, Breast Neoplasms - metabolism, Breast Neoplasms - mortality, Cancer, Cancer och onkologi, Chromatin Immunoprecipitation, Computational Biology - methods, Consortia, Data integration, Data interpretation, Data- och informationsvetenskap (Datateknik), Databases, Factual, Datasets, Female, Gene Dosage, Gene Expression Profiling, Gene Regulatory Networks, Gene sequencing, Genes, Genomes, Genomics, Genomics - methods, Hippo Signaling Pathway, Human tissues, Humans, Hypotheses, Immune response, Integration, Klinisk medicin, Medical and Health Sciences, Medical Genetics, Medicin och hälsovetenskap, Medicinsk genetik, Medicinska och farmaceutiska grundvetenskaper, Metabolic Networks and Pathways - genetics, Molecular biology, Multisensor fusion, Multivariate analysis, Mutation, Naturvetenskap, Neoplasms - genetics, Neoplasms - metabolism, Prognosis, Protein Serine-Threonine Kinases - genetics, Protein Serine-Threonine Kinases - metabolism, Regeneration, Regeneration (physiology), Regulators, Ribonucleic acid, RNA, RNA, Messenger - genetics, Sequence Analysis, RNA, Signal Transduction, Stem cells, Tissue engineering, Transcriptomics, Tumors, Whole genome sequencing