Type I Interferon Reprograms Intestinal Epithelial Cells for Sustained HIV-1 Latency in CD4+ T Cells of People with HIV-1 Receiving Antiretroviral Therapy
RNA-seq (gene expression) · human · 16 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
- 16 samples: 8 conditions, mostly in duplicateGroups 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.
- Paper
- Pharmacological and genetic modulation of IL-32 expression in intestinal epithelial cells does not impact HIV-1 outgrowth in co-cultured CD4(+) T-cellsFrontiers in immunology · 2026
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 GSE320067_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 PRJNA1426321 and SRA study SRP678374. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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.
- GSM9533364 HT-29 CTL MEDIUM, biol rep 1 HT-29 CTL MEDIUM, biol
- GSM9533365 HT-29 CTL TNF, biol rep 1 HT-29 CTL TNF, biol
- GSM9533366 HT-29 CTL IFN-I, biol rep 1 HT-29 CTL IFN-I, biol
- GSM9533367 HT-29 CTL TNF+IFN, biol rep 1 HT-29 CTL TNF+IFN, biol
- GSM9533368 HT-29 IL-32 KO MEDIUM, biol rep 1 HT-29 IL-32 KO MEDIUM, …
- GSM9533369 HT-29 IL-32 KO TNF, biol rep 1 HT-29 IL-32 KO TNF, biol
- GSM9533370 HT-29 IL-32 KO IFN-I, biol rep 1 HT-29 IL-32 KO IFN-I, b…
- GSM9533371 HT-29 IL-32 KO TNF+IFN, biol rep 1 HT-29 IL-32 KO TNF+IFN,…
- GSM9533372 HT-29 CTL MEDIUM, biol rep 2 HT-29 CTL MEDIUM, biol
- GSM9533373 HT-29 CTL TNF, biol rep 2 HT-29 CTL TNF, biol
- GSM9533374 HT-29 CTL IFN-I, biol rep 2 HT-29 CTL IFN-I, biol
- GSM9533375 HT-29 CTL TNF+IFN, biol rep 2 HT-29 CTL TNF+IFN, biol
- GSM9533376 HT-29 IL-32 KO MEDIUM, biol rep 2 HT-29 IL-32 KO MEDIUM, …
- GSM9533377 HT-29 IL-32 KO TNF, biol rep 2 HT-29 IL-32 KO TNF, biol
- GSM9533378 HT-29 IL-32 KO IFN-I, biol rep 2 HT-29 IL-32 KO IFN-I, b…
- GSM9533379 HT-29 IL-32 KO TNF+IFN, biol rep 2 HT-29 IL-32 KO TNF+IFN,…
- 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
- GSE319139 The HIV-1 Vpr R77Q mutant alters host apoptotic gene regulation in CD4+ T cells 33 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
- GSE292601 Epithelial interferon-stimulated gene programs modulate chemotherapy sensitivity in colorectal cancer via EPSTI1 62 samples shares interferon, epithelial
- GSE303051 Prolonged KRAS-MAPK Inhibition Induces Interferon-mediated Epithelial-to-Mesenchymal Transition and Reveals Therapeutic Opportunities. 30 samples shares interferon, epithelial
- GSE242232 Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases 928 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.