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Compromised Intestinal Barrier Resilience to Disruption in People with HIV [colon]

GSE284755 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2025/12/17 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 30 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
30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
People living with HIV (PLWH) experience chronic intestinal barrier dysfunction (gut leakage), which persists despite viral suppression by antiretroviral therapy (ART) and contributes to chronic inflammation and its comorbidities. The mechanisms underlying this phenomenon remain unclear and are likely multifactorial. We hypothesize that living with HIV compromises the intestinal barrier’s resilience to injurious agents, increasing susceptibility to leakage upon exposure to common exogenous or endogenous disruptors, such as alcohol or pro-inflammatory cytokines, respectively.
Read the full summary ↓
Using 3D intestinal organoids (colonoids and enteroids) derived from PLWH on ART and HIV-negative controls, we assessed the impact of alcohol and inflammatory cytokines on barrier integrity. Organoids from PLWH exhibited reduced resilience to disruption compared to controls, correlating with alterations in pathways critical to epithelial integrity, including epithelial-mesenchymal transition, DNA repair, and oxidative stress-related pathways. These findings reveal a novel mechanism underlying intestinal dysfunction in PLWH and highlight potential molecular targets to mitigate these complications.
This dataset
Open GSE284755 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE284755_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1200605 and SRA study SRP552656. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 30 sample titles: 30 distinct titles with little repetition. 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.

Samples in this study
Datasets on a similar topic

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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.