Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

HIT analysis of T cells activated in the presence of TGF-Î²

ABSTRACT: We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we screened 90 antibodies directed against a panel of cell surface markers as well as 4 isotype controls to compare human naive CD4+ T cells activated in the presence or absence of TGF-Î². Keywords: response to stimulus Two-condition experiment, with or without TGF-Î². Biological replicates: 3 normal human donors, each donor served as an internal control. One replicate per array. One of the biological replicates was performed as a dye-swap to monitor dye-bias.

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Kattah

PROVIDER: E-GEOD-10762 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

HIT: a versatile proteomics platform for multianalyte phenotyping of cytokines, intracellular proteins and surface molecules.

Kattah Michael G MG Coller John J Cheung Regina K RK Oshidary Neekaan N Utz Paul J PJ

Nature medicine 20081012 11

We have developed a multianalyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular bar code. After staining a sample, T7 polymerase amplifies the tags, which are then hybridized to a DNA microarray for indirect measurement of each analyte. Although there are many potential applications for this technology, here ...[more]

PMID: 18849997

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Project description:BACKGROUND & AIMS- More frequent interaction of bacteria with the colonic epithelium is associated with ulcerative colitis (UC). The identities of all proteins which promote bacterial clearance in colonic epithelial cells are unknown. Previously, we discovered that dCAP-D3 (Chromosome Associated Protein-D3), regulates responses to bacterial infection. We examined whether CAP-D3 promotes bacterial clearance in human colonic epithelium. METHODS- Clearance of Salmonella or adherent-invasive Escherichia coli LF82 was assessed by gentamycin protection assays in HT-29 and Caco-2 cells expressing CAP-D3 shRNA. CAP-D3 levels in colonic epithelial cells from healthy and UC patient tissues were analyzed by immunoblot. RNA-sequencing identified bacterially-induced CAP-D3 target genes. The role of CAP-D3 target genes in bacterial clearance was analyzed by gentamycin protection assays, immunofluorescent staining, and by using pharmacologic inhibitors. RESULTS- CAP-D3 expression was reduced in colonic epithelial cells from UC patients with active disease. Reduction of CAP-D3 expression inhibited autophagy and decreased intracellular bacterial clearance. The components of the heterodimeric SLC7A5/SLC3A2 amino acid transporter were identified as CAP-D3 target genes; their levels increased in infected, CAP-D3 deficient cell lines and in cells from UC patients. In HT-29 cells, this resulted in earlier SLC7A5 recruitment to Salmonella-containing vacuoles, increased mTOR activity, and enhanced bacterial survival. Inhibition of SLC7A5/SLC3A2 or mTOR activity rescued the bacterial clearance defect in CAP-D3 deficient cells. CONCLUSIONS- CAP-D3 attenuates amino acid transporter transcription to promote bacterial autophagy in colon epithelial cells. CAP-D3 protein levels are decreased in patients with active UC, suggesting that CAP-D3 is a potential therapeutic target to restore mucosal homeostasis in UC patients. Three RNA samples from 3 independent experiments including timepoints taken at 0, 0.5 and 7 hours post-infection were analyzed on a bioanalyzer for quality; one of the 0.5 hour post-infection samples was excluded at this time due to poor RNA purity. Directional, cDNA libraries made from cellular mRNAs were generated from the other 8 samples and sequenced (paired-end sequencing of 100 bp reads) in the Genomics Core at the University of Chicago on an Illumina HiSeq2000.

Dataset Information

HIT analysis of T cells activated in the presence of TGF-Î²

Publications

HIT: a versatile proteomics platform for multianalyte phenotyping of cytokines, intracellular proteins and surface molecules.

Similar Datasets

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