HIV-1 m6A methylome investigation by m6A-SAC-seq [CD4+ T cells]
DNA methylation · human · 12 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 3 × Primary-activated-CD4-Mock-m6A-SAC-seq-input-rp vs 3 × Primary-activated-CD4-HIV-m6A-SAC-seq-input-rp vs 3 × Primary-activated-CD4-Mock-m6A-SAC-seq-label-rp vs 3 × Primary-activated-CD4-HIV-m6A-SAC-seq-label-rpGroups 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
- Single-base m(6)A epitranscriptomics reveals novel HIV-1 host interaction targets in primary CD4(+) T cellsJournal of virology · 2025
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 GSE280563_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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1179418 and SRA study SRP541802. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8600778 Primary-activated-CD4-Mock-m6A-SAC-seq-input-rp1 Primary-activated-CD4-M…
- GSM8600779 Primary-activated-CD4-Mock-m6A-SAC-seq-input-rp2 Primary-activated-CD4-M…
- GSM8600780 Primary-activated-CD4-Mock-m6A-SAC-seq-input-rp3 Primary-activated-CD4-M…
- GSM8600781 Primary-activated-CD4-HIV-m6A-SAC-seq-input-rp1 Primary-activated-CD4-H…
- GSM8600782 Primary-activated-CD4-HIV-m6A-SAC-seq-input-rp2 Primary-activated-CD4-H…
- GSM8600783 Primary-activated-CD4-HIV-m6A-SAC-seq-input-rp3 Primary-activated-CD4-H…
- GSM8600784 Primary-activated-CD4-Mock-m6A-SAC-seq-label-rp1 Primary-activated-CD4-M…
- GSM8600785 Primary-activated-CD4-Mock-m6A-SAC-seq-label-rp2 Primary-activated-CD4-M…
- GSM8600786 Primary-activated-CD4-Mock-m6A-SAC-seq-label-rp3 Primary-activated-CD4-M…
- GSM8600787 Primary-activated-CD4-HIV-m6A-SAC-seq-label-rp1 Primary-activated-CD4-H…
- GSM8600788 Primary-activated-CD4-HIV-m6A-SAC-seq-label-rp2 Primary-activated-CD4-H…
- GSM8600789 Primary-activated-CD4-HIV-m6A-SAC-seq-label-rp3 Primary-activated-CD4-H…
- GSE319139 The HIV-1 Vpr R77Q mutant alters host apoptotic gene regulation in CD4+ T cells 33 samples shares hiv-1, cd4
- GSE328010 RNA sequencing of naïve, activated and HIV-1 infected CD4+ T cells 9 samples shares hiv-1, cd4
- 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
- GSE247196 Productively HIV-1 infected and bystander primary human CD4+ T-cells 18 samples shares hiv-1, 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
- GSE267774 Specific CD4+ T cell phenotypes associate with bacterial control in people who ‘resist’ infection with Mycobacterium tuberculosis 3076 samples shares cd4
- GSE227915 CD4+ cells and pediatric obesity-related asthma 99 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.