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HIV-1 Infection Regulates Gene Expression by Altering Alternative Polyadenylation Through CPSF6 and CPSF5 Delocalization

GSE313109 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2025/12/10 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 28 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
28 samples: 7 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
HIV-1 infection regulates gene expression by altering alternative polyadenylation correlated with CPSF6 and CPSF5 redistributionmBio · 2026
Summary (written by the submitters)
HIV-1 viral core transport to the nucleus, an early infection event, triggers cleavage and polyadenylation specificity factor (CPSF)5 and CPSF6 to translocate from paraspeckles to nuclear speckles, forming puncta-like structures. CPSF5 and CPSF6 regulate alternative polyadenylation (APA), which governs approximately 70% of gene expression.
Read the full summary ↓
APA alters the lengths of mRNA 3’-untranslated regions (3’-UTRs), which contain regulatory signals influencing RNA stability, localization, and function. We investigated whether HIV-1 infection–induced changes in CPSF5 and CPSF6 subcellular localization are accompanied by changes in cellular function. Using two independent methodologies to assess APA in human primary CD4+ T cells and cell lines, we found that HIV-1 infection regulates APA, dependent on the interaction of CPSF6 with the viral capsid, recapitulating the APA phenotype observed in CPSF6 knockout cells. Our study demonstrates that HIV-1 infection leverages the interaction between the viral capsid and CPSF6 to co-opt cellular processes, alter gene expression, and drive pathogenesis.
Published in
HIV-1 infection regulates gene expression by altering alternative polyadenylation correlated with CPSF6 and CPSF5 redistribution
Luchsinger C, Dai AZ, Yalamanchili H et al. · mBio 2026 · PMID 41405390 · doi:10.1128/mbio.02865-25
This dataset
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.

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 GSE313109_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1378548 and SRA study SRP653939. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in duplicate
A549 cells, mock infected, ×2 A549 cells, HIV-1 N74D infection for 48 h, ×2 A549 cells, HIV-1 A77V infection for 48 h, ×2 A549 CPSF6-KO clone B4 cells, mock infected, ×2 A549 CPSF6-KO clone B7 cells, mock infected, ×2 A549 CPSF6-KO clone C8 cells, mock infected, ×2 A549 CPSF6-KO clone D5 cells, mock infected, ×2 A549 cells, HIV-1 WT infection for 40 h, ×1 +13 more

Supports a between-group comparison across 14 samples.

How we read this: 7 replicated groups read from 28 sample titles; they account for 14 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
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