|
Status |
Public on Dec 23, 2017 |
Title |
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
This SuperSeries is composed of the SubSeries listed below.
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|
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Overall design |
Refer to individual Series
|
|
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Citation(s) |
29378643 |
|
Submission date |
Dec 22, 2017 |
Last update date |
Mar 26, 2019 |
Contact name |
Michael B Cole |
E-mail(s) |
mbcole@berkeley.edu
|
Organization name |
UC Berkeley
|
Street address |
378 Stanley Hall
|
City |
Berkeley |
State/province |
CA |
ZIP/Postal code |
94720 |
Country |
USA |
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|
Platforms (1) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
|
Samples (420)
|
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This SuperSeries is composed of the following SubSeries: |
GSE80212 |
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (scRNA-Seq) |
GSE108443 |
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (Sorted Bulk RNA-Seq) |
GSE108444 |
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (TLR perturbation Bulk RNA-Seq) |
|
Relations |
BioProject |
PRJNA427301 |