Project 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 against flow cytometry, gene expression profiling was performed on a set of 20 PBMC samples comprised of adults of varying ages receiving influenza immunization (NCT01827462). These samples were analyzed by flow cytometry to enumerate several leukocyte subsets. Normalized gene expression data and accompanying flow cytometry data are available at the CIBERSORT website (http://cibersort.stanford.edu/download.php).

2015-03-29 | E-GEOD-65133 | biostudies-arrayexpress

Robust enumeration of cell subsets from tissue expression profiles (HGU133A)

Project 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 for enumerating Tregs, RNA was extracted from PBMC samples from 6 healthy normal controls and 1 follicular lymphoma (FL) patient. All PBMC samples were also interrogated by flow cytometry for FOXP3+ Tregs.

2015-03-29 | E-GEOD-65134 | biostudies-arrayexpress

Robust enumeration of cell subsets from tissue expression profiles (HGU133Plus2)

Project 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.

2015-03-29 | E-GEOD-65135 | biostudies-arrayexpress

In vivo activation of a conserved microRNA program induces robust mammalian heart regeneration

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2014-11-17 | E-GEOD-62389 | biostudies-arrayexpress