Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Trasncriptional response of human whole blood following TLR2 or TLR4 ligation in vitro


ABSTRACT: Use of human whole blood for transcriptomic analysis has potential advantages over the use of isolated immune cells for studying the transcriptional response to pathogens and their products. Whole blood stimulation can be carried out in a laboratory without the expertise or equipment to isolate immune cells from blood, with the added advantage of being able to undertake experiments using very small volumes of blood. Toll like receptors (TLRs) are a family of pattern recognition receptors which recognise highly conserved microbial products. Using the TLR2 ligand (Pam3CSK4) and the TLR4 ligand (LPS) human whole blood was stimulated for 0, 1, 3, 6, 12 or 24 hours at which times mRNA was isolated and a comparative microarray was undertaken. A common NFκB transcriptional programme was identified following both TLR2 and TLR4 ligation which peaked at between 3 to 6 hours including upregulation of many of the NFκB family members. In contrast an interferon transcriptional response was observed following TLR4 but not TLR2 ligation as early as 1 hour post stimulation and peaking at 6 hours. These results recapitulate the findings observed in previously published studies using isolated murine and human myeloid cells indicating that in vitro stimulated human whole blood can be used to interrogate the transcriptional kinetics response of innate cells to TLR ligands. Our study demonstrates that with a systems biology approach analysis of mRNA isolated from human whole blood can delineate both the temporal response and the key transcriptional differences following TLR2 and TLR4 ligation. 6 healthy human volunteers. 1ml whole blood stimulated in vitro with either LPS (1ng/ml), Pam3CSK4 (200ng/ml) or media for 0, 1, 3, 6 12 or 24 hours.

ORGANISM(S): Homo sapiens

SUBMITTER: Simon Blankley 

PROVIDER: E-GEOD-55375 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2014-07-11 | GSE55375 | GEO
| PRJNA239437 | ENA
2019-01-09 | GSE109084 | GEO
2019-08-06 | GSE117842 | GEO
2019-06-24 | PXD012759 | Pride
2018-03-07 | GSE103094 | GEO
2013-06-01 | E-GEOD-44785 | biostudies-arrayexpress
2012-02-22 | E-MTAB-942 | biostudies-arrayexpress
2013-06-01 | GSE44785 | GEO
2017-10-31 | GSE92744 | GEO