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Items: 4

1.

Transcriptomic clustering of critically-ill COVID-19 patients

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platforms:
GPL24014 GPL29480
129 Samples
Download data
Series
Accession:
GSE197259
ID:
200197259
2.

Transcriptomic clustering of critically-ill COVID-19 patients [Day 1-miRNA-Seq]

(Submitter supplied) Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL29480
46 Samples
Download data: CSV
Series
Accession:
GSE197258
ID:
200197258
3.

DNBSEQ-T7 (Homo sapiens)

Platform
Accession:
GPL29480
ID:
100029480
4.

miRNA4

Organism:
Homo sapiens
Source name:
serum sample
Platform:
GPL29480
Series:
GSE197258 GSE197259
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Sample
Accession:
GSM5911681
ID:
305911681
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