Selective targeting of HIV infected clones by cognate peptide stimulation and antiproliferative drugs
RNA-seq (gene expression) · human · 10 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
- 10 samples: 10 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
- Selective targeting of HIV-infected clones by cognate peptide stimulation and antiproliferative drugsThe Journal of clinical investigation · 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 GSE305896_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 PRJNA1308140. 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 10 sample titles: 10 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.
- GSM9187145 ES24_1-GEX
- GSM9187146 ES24_1-TCR
- GSM9187147 ES24_2-GEX
- GSM9187148 ES24_2-TCR
- GSM9187149 ES24_3-GEX
- GSM9187150 ES24_3-TCR
- GSM9187151 ES24_4-GEX
- GSM9187152 ES24_4-TCR
- GSM9187153 ES24_5-GEX
- GSM9187154 ES24_5-TCR
- GSE299348 Single-cell epigenetic, transcriptional, protein, and TCR states of HIV-1-infected cells in gut 117 samples shares hiv, infected
- GSE299125 Paracrine Signals from HIV-1 Infected Immune Cells Reprogram Cervical Cancer Pathways 35 samples shares hiv, infected
- GSE247196 Productively HIV-1 infected and bystander primary human CD4+ T-cells 18 samples shares hiv, infected
- GSE178178 Transcriptomic analysis of Hsp90 inhibitor (Hsp90i)-treated HIV-infected pediatric tonsillar mononuclear cells 16 samples shares hiv, infected
- GSE313059 Single cell multiomic analysis of the impact of Delta-9-tetrahydrocannabinol on HIV infected CD4 T cells 16 samples shares hiv, infected
- GSE328010 RNA sequencing of naïve, activated and HIV-1 infected CD4+ T cells 9 samples shares hiv, infected
- GSE301872 Therapy-persistent leukemia is selectively vulnerable to SLC23A1 restoration via targeting KHSRP (PDX samples from different disease statuses) 15 samples shares selective, targeting
- GSE285196 Pathogenesis of Graves' Disease Using Single-Cell Sequencing with Thyroid Autoantigens Peptides Stimulation in B Cells 10 samples shares stimulation, peptide
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.