Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human immune cell line mixtures to test deconvolution


ABSTRACT: Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown. Here we test the ability of this technique to determine the fractions of transformed cells of immune origin in mixed samples. Experiment Overall Design: Four immune cell lines were grown and run on microarrays either by themselves or in mixtures of various relative proportions. Mixtures of cells were performed in triplicate. Experiment Overall Design: MixA (Jurkat: 2.5, IM-9: 1.25, Raji: 2.5, THP-1: 3.75) Experiment Overall Design: MixB (Jurkat: 0.5, IM-9: 3.17, Raji: 4.75, THP-1: 1.58) Experiment Overall Design: MixC (Jurkat: 0.1, IM-9: 4.95, Raji: 1.65, THP-1: 3.3) Experiment Overall Design: MixD (Jurkat: 0.02, IM-9: 3.33, Raji: 3.33, THP-1: 3.33)

ORGANISM(S): Homo sapiens

SUBMITTER: Alex Abbas 

PROVIDER: E-GEOD-11058 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Abbas Alexander R AR   Wolslegel Kristen K   Seshasayee Dhaya D   Modrusan Zora Z   Clark Hilary F HF  

PloS one 20090701 7


Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease with a complex spectrum of cellular and molecular characteristics including several dramatic changes in the populations of peripheral leukocytes. These changes include general leukopenia, activation of B and T cells, and maturation of granulocytes. The manifestation of SLE in peripheral blood is central to the disease but is incompletely understood. A technique for rigorously characterizing changes in mixed populations of cells,  ...[more]

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