RNAseq analysis of blood specimens from ART-suppressed people with HIV prior to analytical treatment interruption
RNA-seq (gene expression) · human · 74 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
- 74 samples: 74 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.
- Paper
- Multiomic analysis of ART-interruption cohorts identifies cell-extrinsic and -intrinsic mechanisms driving lymphocyte-mediated control of HIV reboundImmunity · 2026
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 GSE290636_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 PRJNA1229454 and SRA study SRP566765. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 74 sample titles: 74 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.
- GSM8818640 CLEAR_10 PBMC
- GSM8818641 CLEAR_12 PBMC
- GSM8818642 CLEAR_17 PBMC
- GSM8818643 CLEAR_19 PBMC
- GSM8818644 CLEAR_1 PBMC
- GSM8818645 CLEAR_2 PBMC
- GSM8818646 CLEAR_4 PBMC
- GSM8818647 CLEAR_8 PBMC
- GSM8818648 CLEAR_9 PBMC
- GSM8818649 REDUC_22 PBMC
- GSM8818650 REDUC_23 PBMC
- GSM8818651 REDUC_24 PBMC
- GSM8818652 REDUC_25 PBMC
- GSM8818653 REDUC_26 PBMC
- GSM8818654 REDUC_27 PBMC
- GSM8818655 REDUC_28 PBMC
- GSM8818656 REDUC_29 PBMC
- GSM8818657 REDUC_32 PBMC
- GSM8818658 REDUC_33 PBMC
- GSM8818659 REDUC_34 PBMC
- GSM8818660 REDUC_36 PBMC
- GSM8818661 REDUC_41 PBMC
- GSM8818662 REDUC_42 PBMC
- GSM8818663 REDUC_43 PBMC
- GSM8818664 REDUC_44 PBMC
- GSM8818665 TEACH_101 PBMC
- GSM8818666 TEACH_107 PBMC
- GSM8818667 TEACH_112 PBMC
- GSM8818668 TEACH_113 PBMC
- GSM8818669 TEACH_114 PBMC
- GSM8818670 TEACH_115 PBMC
- GSM8818671 TEACH_116 PBMC
- GSM8818672 TEACH_117 PBMC
- GSM8818673 TEACH_120 PBMC
- GSM8818674 A5345_111714 CD4+ T cells
- GSM8818675 A5345_14651 CD4+ T cells
- GSM8818676 A5345_14859 CD4+ T cells
- GSM8818677 A5345_15239 CD4+ T cells
- GSM8818678 A5345_15249 CD4+ T cells
- GSM8818679 A5345_271217 CD4+ T cells
+ 34 more — browse all 74 samples with per-sample file links →
- GSE274848 Association of smoking with neurocognition, inflammatory and myeloid cell activation profiles in people with HIV on ART 165 samples shares hiv, people
- GSE230738 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 71 samples shares hiv, people
- GSE332711 CD4/CD8 ratio is associated with structural reorganization of vaccine-induced immune responses in people living with HIV 60 samples shares hiv, people
- GSE231628 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 33 samples shares hiv, people
- GSE256089 scRNA-seq analyses of HTO-tagged human peripheral blood mononuclear cells collected at the ART timepoint during HIV-1 disease 32 samples shares hiv, blood
- GSE284755 Compromised Intestinal Barrier Resilience to Disruption in People with HIV [colon] 30 samples shares hiv, people
- GSE297198 Analysis of transcription in peripheral blood mononuclear cells from HIV-infected patients receiving antiretroviral therapy 20 samples shares hiv, blood
- GSE278091 Clonal replacement and differentiation of HIV-specific T-cells in people with HIV following anti-PD-1 in vivo 18 samples shares hiv, people
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.