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E-GEOD-65135 - Robust enumeration of cell subsets from tissue expression profiles (HGU133Plus2)

Status
Released on 29 March 2015, last updated on 5 April 2015
Organism
Homo sapiens
Samples (28)
Array (1)
Protocols (5)
Description
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 specimens for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu). To evaluate the performance of CIBERSORT, RNA was extracted from the following primary human samples: (i) 14 disaggregated lymph node biopsies from patients with follicular lymphoma (FL), (ii) pre- and/or post-immunotherapy PBMC samples from 3 patients with extranodal marginal zone lymphoma (EMZL) or diffuse large B cell lymphoma (DLBCL), and (iii) B or T cells purified from the tonsils of 5 healthy normal controls.
Experiment type
transcription profiling by array 
Contacts
Aaron M Newman, Andrew J Gentles, Ash A Alizadeh, Chih-Long Liu, Chuong D Hoang, Maximilian Diehn, Michael R Green, Weiguo Feng, Yue Xu
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-65135.idf.txt
Sample and data relationshipE-GEOD-65135.sdrf.txt
Raw data (1)E-GEOD-65135.raw.1.zip
Processed data (1)E-GEOD-65135.processed.1.zip
Array designA-AFFY-44.adf.txt
Links