The HIV-1 Vpr R77Q mutant alters host apoptotic gene regulation in CD4+ T cells
RNA-seq (gene expression) · human · 33 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 33 samples: 11 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE319139_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1422171 and SRA study SRP676246. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 15 samples read as cases, 3 as controls.
How we read this: 11 replicated groups read from 33 sample titles; they account for 33 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9512194 HUT78, mock control, rep 1 HUT78, mock control,
- GSM9512195 HUT78, mock control, rep 2 HUT78, mock control,
- GSM9512196 HUT78, mock control, rep 3 HUT78, mock control,
- GSM9512197 HUT78, infected with Wild Type HIV-1 NL4-3, 4hr, rep 1 HUT78, infected with Wi…
- GSM9512198 HUT78, infected with Wild Type HIV-1 NL4-3, 4hr, rep 2 HUT78, infected with Wi…
- GSM9512199 HUT78, infected with Wild Type HIV-1 NL4-3, 4hr, rep 3 HUT78, infected with Wi…
- GSM9512200 HUT78, infected with Wild Type HIV-1 NL4-3, 8hr, rep 1 HUT78, infected with Wi…
- GSM9512201 HUT78, infected with Wild Type HIV-1 NL4-3, 8hr, rep 2 HUT78, infected with Wi…
- GSM9512202 HUT78, infected with Wild Type HIV-1 NL4-3, 8hr, rep 3 HUT78, infected with Wi…
- GSM9512203 HUT78, infected with Wild Type HIV-1 NL4-3, 12hr, rep 1 HUT78, infected with Wi…
- GSM9512204 HUT78, infected with Wild Type HIV-1 NL4-3, 12hr, rep 2 HUT78, infected with Wi…
- GSM9512205 HUT78, infected with Wild Type HIV-1 NL4-3, 12hr, rep 3 HUT78, infected with Wi…
- GSM9512206 HUT78, infected with Wild Type HIV-1 NL4-3, 24hr, rep 1 HUT78, infected with Wi…
- GSM9512207 HUT78, infected with Wild Type HIV-1 NL4-3, 24hr, rep 2 HUT78, infected with Wi…
- GSM9512208 HUT78, infected with Wild Type HIV-1 NL4-3, 24hr, rep 3 HUT78, infected with Wi…
- GSM9512209 HUT78, infected with Wild Type HIV-1 NL4-3, 72hr, rep 1 HUT78, infected with Wi…
- GSM9512210 HUT78, infected with Wild Type HIV-1 NL4-3, 72hr, rep 2 HUT78, infected with Wi…
- GSM9512211 HUT78, infected with Wild Type HIV-1 NL4-3, 72hr, rep 3 HUT78, infected with Wi…
- GSM9512212 HUT78, infected with HIV-1 vpr R77Q, 4hr, rep 1 HUT78, infected with HI…
- GSM9512213 HUT78, infected with HIV-1 vpr R77Q, 4hr, rep 2 HUT78, infected with HI…
- GSM9512214 HUT78, infected with HIV-1 vpr R77Q, 4hr, rep 3 HUT78, infected with HI…
- GSM9512215 HUT78, infected with HIV-1 vpr R77Q, 8hr, rep 1 HUT78, infected with HI…
- GSM9512216 HUT78, infected with HIV-1 vpr R77Q, 8hr, rep 2 HUT78, infected with HI…
- GSM9512217 HUT78, infected with HIV-1 vpr R77Q, 8hr, rep 3 HUT78, infected with HI…
- GSM9512218 HUT78, infected with HIV-1 vpr R77Q, 12hr, rep 1 HUT78, infected with HI…
- GSM9512219 HUT78, infected with HIV-1 vpr R77Q, 12hr, rep 2 HUT78, infected with HI…
- GSM9512220 HUT78, infected with HIV-1 vpr R77Q, 12hr, rep 3 HUT78, infected with HI…
- GSM9512221 HUT78, infected with HIV-1 vpr R77Q, 24hr, rep 1 HUT78, infected with HI…
- GSM9512222 HUT78, infected with HIV-1 vpr R77Q, 24hr, rep 2 HUT78, infected with HI…
- GSM9512223 HUT78, infected with HIV-1 vpr R77Q, 24hr, rep 3 HUT78, infected with HI…
- GSM9512224 HUT78, infected with HIV-1 vpr R77Q, 72hr, rep 1 HUT78, infected with HI…
- GSM9512225 HUT78, infected with HIV-1 vpr R77Q, 72hr, rep 2 HUT78, infected with HI…
- GSM9512226 HUT78, infected with HIV-1 vpr R77Q, 72hr, rep 3 HUT78, infected with HI…
- GSE329693 Microbiome-Derived Metabolites Shape CD4⁺ T-Cell Differentiation and Immune Aging in Chronic HIV-1 Infection [RNA-Seq] 36 samples shares hiv-1, cd4
- GSE280563 HIV-1 m6A methylome investigation by m6A-SAC-seq [CD4+ T cells] 12 samples shares hiv-1, cd4
- GSE328010 RNA sequencing of naïve, activated and HIV-1 infected CD4+ T cells 9 samples shares hiv-1, cd4
- GSE247196 Productively HIV-1 infected and bystander primary human CD4+ T-cells 18 samples shares hiv-1, cd4
- GSE267774 Specific CD4+ T cell phenotypes associate with bacterial control in people who ‘resist’ infection with Mycobacterium tuberculosis 3076 samples shares cd4
- GSE242232 Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases 928 samples shares cd4
- GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples shares cd4
- GSE314188 Responders to low-dose ATG induce CD4+ T cell exhaustion in type 1 diabetes 514 samples shares cd4
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.