Robust enumeration of cell subsets from tissue expression profiles

We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen, and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with r...

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Detalles Bibliográficos
Autores principales: Newman, Aaron M., Liu, Chih Long, Green, Michael R., Gentles, Andrew J., Feng, Weiguo, Xu, Yue, Hoang, Chuong D., Diehn, Maximilian, Alizadeh, Ash A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4739640/
https://www.ncbi.nlm.nih.gov/pubmed/25822800
http://dx.doi.org/10.1038/nmeth.3337
Descripción
Sumario:We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen, and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content, and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu).

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