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Items: 4

1.

Prediction of bacterial infection outcome using single cell RNA-seq analysis of human immune cells [WB/PBMCs bulk RNA-seq]

(Submitter supplied) During host-pathogen encounters, the complex interactions between different immune cell-types can determine the outcome of infection. Advances in single cell RNA-seq (scRNA-seq) allow to probe this complexity of immunity, and afforded the basis for deconvolution algorithms that infer cell-type compositions from bulk RNA-seq measurements. However, immune activation, an important aspect of immune surveillance, is not represented in current algorithms. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
62 Samples
Download data: TXT
Series
Accession:
GSE128627
ID:
200128627

PubMed Full text in PMC Similar studies SRA Run Selector

2.

Prediction of bacterial infection outcome using single cell RNA-seq analysis of human immune cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
150 Samples
Download data: TXT
Series
Accession:
GSE122084
ID:
200122084

PubMed Full text in PMC Similar studies

3.

Illumina NextSeq 500 (Homo sapiens)

Organism:
Homo sapiens
12649 Series
344511 Samples
Download data
Platform
Accession:
GPL18573
ID:
100018573

4.

PBMCs_ind1_exposed_rep2

Organism:
Homo sapiens
Source name:
PBMCs_ind1_exposed
Platform:
GPL18573
Series:
GSE122084 GSE128627
Download data: TXT
Sample
Accession:
GSM3681281
ID:
303681281

SRA Run Selector

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db=gds|term=GSM3681281[Accession]|query=1|qty=2|blobid=MCID_6759fa6c950f8973d3353bd9|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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