Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 16626502

A classification based framework for quantitative description of large-scale microarray data.

Dipen P Sangurdekar·Friedrich Srienc·Arkady B Khodursky
View original source ↗Export metadata ↓

Abstract

Genome-wide surveys of transcription depend on gene classifications for the purpose of data interpretation. We propose a new information-theoretical-based method to: assess significance of co-expression within any gene group; quantitatively describe condition-specific gene-class activity; and systematically evaluate conditions in terms of gene-class activity. We applied this technique to describe microarray data tracking Escherichia coli transcriptional responses to more than 30 chemical and physiological perturbations. We correlated the nature and breadth of the responses with the nature of perturbation, identified gene group proxies for the perturbation classes and quantitatively compared closely related physiological conditions.

Explore related subjects

Cell ProliferationClassificationCluster AnalysisEscherichia coliGene Expression ProfilingGenomicsInformation TheoryOligonucleotide Array Sequence AnalysisTranscription, GeneticEvaluation StudyJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, U.S. Gov't, Non-P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Dipen P Sangurdekar, Friedrich Srienc, Arkady B Khodursky. 2006-04-20. A classification based framework for quantitative description of large-scale microarray data.. https://doi.org/10.1186/gb-2006-7-4-r32

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

PIEZO1 Mediates Myoblast Proliferation Under Simulated Microgravity.

Skeletal muscle atrophy is a major health risk of prolonged spaceflight, yet how microgravity reshapes muscle cells through mechanotransduction remains poorly understood. Here, we examined the mechanosensitive cation channel PIEZO1 in myoblast proliferation under simulated microgravity. Using a two-dimensional clinostat combined with Hi-C-based 3D genomics, transcriptomics, and functional assays, we found that simulated microgravity promotes C2C12 myoblast proliferation and upregulates Piezo1. Piezo1 mRNA knockdown reduced both proliferation and depolarization-induced Ca2 + influx, each partially restored under simulated microgravity, consistent with PIEZO1 being a central mediator of the response. Simulated microgravity also drove extensive 3D genome reorganization alongside changes in proliferation-related gene expression. Integrating chromatin architecture with transcriptomics, we found that PIEZO1 inhibition increased Elavl2 mRNA expression, PIEZO1 activation suppressed Elavl2 mRNA expression, and Elavl2 mRNA knockdown enhanced cell proliferation. These findings define a PIEZO1-ELAVL2 mechanotransduction axis, coupled to 3D chromatin remodeling, that regulates myoblast proliferation under simulated microgravity, and thus may be a target for countering spaceflight-associated muscle dysfunction.

Cell Proliferation↗
PubMed2007

Extreme sensitivity to Yondelis (Trabectedin, ET-743) in low passaged sarcoma cell lines correlates with mutated p53.

Yondelis (Trabectedin, ET-743) is a marine anticancer agent currently in Phase II/III development in patients with advanced pretreated soft tissue sarcoma. In the present study, we generated a panel of low passaged tumor cell lines from samples explanted from chemonaive sarcoma patients with different tumor types. We assessed in vitro sensitivity/resistance to Trabectedin and doxorubicin in a panel of sarcoma cell lines and examined the correlation between molecular alterations in DNA repair genes and sensitivity to Trabectedin. We treated cell lines with Trabectedin and doxorubicin in both 96-h and clonogenic assays. In both assays, well-defined groups of resistant and sensitive cell lines were observed. Resistance to Trabectedin did not correlate with resistance to doxorubicin, indicating that the two drugs may have different mechanisms of resistance. p53 mutations and deletions correlated with extreme sensitivity (IC50 < 1 nM) to Trabectedin (P < 0.01). In a pair of isogenic cell lines differing only in the presence or absence of wild-type p53, the absence of p53 rendered cells threefold more sensitive to Trabectedin.

Cell Proliferation↗
PubMed2006

Activation of innate immunity by prostate specific antigen (PSA).

BACKGROUND: Prostate specific antigen (PSA) is a serine protease secreted by the prostatic epithelium. The only known function of the protein is to cleave seminogelin. We wished to determine if PSA activated peripheral blood mononuclear cells (PBMC). METHODS: PBMC and selected sub-populations were cultured with purified PSA. Secretion of IFNgamma was measured by cytokine capture flow cytometry and enzyme-linked immunosorbent assay. RESULTS: We observed secretion of IFNgamma and a proliferative response in PBMC cultured with PSA. We found that NK cells were the source of the IFNgamma but NK cells were not directly stimulated by PSA. Rather, a soluble factor secreted primarily by CD14 monocytes in response to PSA stimulated NK cells to secrete IFNgamma. DISCUSSION: PSA induces a pro-inflammatory response that results in the secretion of INFgamma by NK cells. The presence of large amounts of PSA could contribute to the common finding of inflammatory infiltrates in the prostate.

Cell Proliferation↗