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Series GSE65682 Query DataSets for GSE65682
Status Public on Jul 06, 2015
Title Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.
Overall design PAXgene blood RNA was isolated at intensive-care unit (ICU) admission and throughout ICU length-of-stay. Through the use of genome-wide microarrays we aimed to identify molecular features that enbale the adequate discrimination of infectious and non-infectious sources of critical illness. Patient diagnoses include community-acquired pneumonia (cap), hospital-acquired pneumonia (hap) and non-infectious cap control patients (no-cap) (characteristics: pneumonia diagnoses). The influence of variable degrees of thrombocytopenia were also assessed (characteristics: thrombocytopenia).
Contributor(s) Scicluna BP, van der Poll T
Citation(s) 26121490, 28972859, 28864056, 27267747, 27495247, 26956172, 26950237, 30645145, 29349709, 31221213, 26871709, 32514599, 34594344, 34902047, 36514130, 37851064
Submission date Feb 05, 2015
Last update date Nov 16, 2023
Contact name Brendon Scicluna
Organization name University of Malta
Street address Msida campus
City Msida
ZIP/Postal code MSD2020
Country Malta
Platforms (1)
GPL13667 [HG-U219] Affymetrix Human Genome U219 Array
Samples (802)
GSM1602801 intensive-care unit patient [03_04_2013_B02_3270]
GSM1602802 intensive-care unit patient [03_04_2013_B06_1793]
GSM1602803 intensive-care unit patient [03_04_2013_B07_3252]
BioProject PRJNA274706

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE65682_RAW.tar 1.5 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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