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Items: 3

1.

Integrative ‘omic analysis of experimental bacteremia identifies a metabolic signature that distinguishes human sepsis from SIRS

(Submitter supplied) Rationale: Sepsis is a leading cause of morbidity and mortality; early diagnosis and prediction of progression is difficult to determine. The integration of metabolomic and transcriptomic data in an experimental model of sepsis may be a novel method to identify molecular signatures of clinical sepsis. Objectives: Develop a biomarker panel for earlier diagnosis and prognostic characterization of sepsis patients to inform personalized clinical management and improve understanding of the pathophysiology of sepsis progression. more...
Organism:
Macaca fascicularis
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18648
18 Samples
Download data: TXT
Series
Accession:
GSE59075
ID:
200059075

SRA Run Selector

2.

Illumina HiSeq 2000 (Macaca fascicularis)

Organism:
Macaca fascicularis
11 Series
472 Samples
Download data
Platform
Accession:
GPL18648
ID:
100018648

3.

CON_7_EOEO2

Organism:
Macaca fascicularis
Source name:
Whole lung RNA, Baseline Control
Platform:
GPL18648
Series:
GSE59075
Download data
Sample
Accession:
GSM1426216
ID:
301426216

SRA Run Selector

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db=gds|term=GSM1426216[Accession]|query=22|qty=2|blobid=MCID_671fe41b3b96c1239027fba1|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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