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Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV

GSE231628 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2024/12/20 Platform GPL18573
At a glance

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: 15 × 0150-B vs 14 × 0134-B vs 4 × 0113-BGroups 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)
Mechanisms by which HIV causes susceptibility to respiratory pathogens remain incompletely understood. We obtained whole blood and bronchoalveolar lavage (BAL) from people with latent TB infection in the presence or absence of ARV-naïve HIV co-infection. Transcriptomic and flow cytometric analyses demonstrated HIV-associated cell proliferation and type I interferon activity in blood and effector memory CD8 T-cells in BAL.
Read the full summary ↓
Both compartments displayed reduced induction of CD8 T cell-related IL-17A in people with HIV, associated with elevated T cell regulatory molecule expression. We propose dysfunctional CD8 T cell responses in uncontrolled HIV contribute to susceptibility to secondary bacterial infections, including tuberculosis.
This dataset
Open GSE231628 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 GSE231628_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 PRJNA967034 and SRA study SRP435821. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
15 × 0150-B vs 14 × 0134-B vs 4 × 0113-B

Supports a between-group comparison across 33 samples.

How we read this: 3 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.

Samples in this study
Datasets on a similar topic

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