Back to Search
Start Over
RosettaSX: Reliable gene expression signature scoring of cancer models and patients
RosettaSX: Reliable gene expression signature scoring of cancer models and patients
- Source :
- Neoplasia: An International Journal for Oncology Research, Vol 23, Iss 11, Pp 1069-1077 (2021), Neoplasia (New York, N.Y.)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Gene expression signatures have proven their potential to characterize important cancer phenomena like oncogenic signaling pathway activities, cellular origins of tumors, or immune cell infiltration into tumor tissues. Large collections of expression signatures provide the basis for their application to data sets, but the applicability of each signature in a new experimental context must be reassessed. We apply a methodology that utilizes the previously developed concept of coherent expression of genes in signatures to identify translatable signatures before scoring their activity in single tumors. We present a web interface (www.rosettasx.com) that applies our methodology to expression data from the Cancer Cell Line Encyclopaedia and The Cancer Genome Atlas. Configurable heat maps visualize per-cancer signature scores for 293 hand-curated literature-derived gene sets representing a wide range of cancer-relevant transcriptional modules and phenomena. The platform allows users to complement heatmaps of signature scores with molecular information on SNVs, CNVs, gene expression, gene dependency, and protein abundance or to analyze own signatures. Clustered heatmaps and further plots to drill-down results support users in studying oncological processes in cancer subtypes, thereby providing a rich resource to explore how mechanisms of cancer interact with each other as demonstrated by exemplary analyses of 2 cancer types.
- Subjects :
- Cancer Research
Breast Neoplasms
Context (language use)
Cancer subtypes
Computational biology
Gene expression signature
Web Browser
Biology
User-Computer Interface
Multiomics Analyses
Cancer genome
Gene expression
Biomarkers, Tumor
medicine
Humans
Immune cell infiltration
Gene
RC254-282
Original Research
Web service
Gene Expression Profiling
Computational Biology
Cancer
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Expression (mathematics)
Signature (logic)
Gene Expression Regulation, Neoplastic
Analyses
Cancer expression profiling
Female
Lymphoma, Large B-Cell, Diffuse
Transcriptome
Software
Subjects
Details
- Language :
- English
- ISSN :
- 14765586
- Volume :
- 23
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Neoplasia: An International Journal for Oncology Research
- Accession number :
- edsair.doi.dedup.....133ddf83a45e7f553717c5920d2d1af9