HIF Regulates Multiple Translated Endogenous Retroviruses: Implications for Cancer Immunotherapy [Polysome-Seq]
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × 786-O, EV, vs 3 × 786-O, VHL, vs 3 × A-498, EV, vs 3 × A-498, VHL,Groups 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
- HIF regulates multiple translated endogenous retroviruses: Implications for cancer immunotherapyCell · 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 GSE253323_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 PRJNA1065293 and SRA study SRP483929. 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.
- GSM8018744 786-O, EV, Rep1 786-O, EV,
- GSM8018745 786-O, EV, Rep2 786-O, EV,
- GSM8018746 786-O, EV, Rep3 786-O, EV,
- GSM8018747 786-O, VHL, Rep1 786-O, VHL,
- GSM8018748 786-O, VHL, Rep2 786-O, VHL,
- GSM8018749 786-O, VHL, Rep3 786-O, VHL,
- GSM8018750 A-498, EV, Rep1 A-498, EV,
- GSM8018751 A-498, EV, Rep2 A-498, EV,
- GSM8018752 A-498, EV, Rep3 A-498, EV,
- GSM8018753 A-498, VHL, Rep1 A-498, VHL,
- GSM8018754 A-498, VHL, Rep2 A-498, VHL,
- GSM8018755 A-498, VHL, Rep3 A-498, VHL,
- GSE253327 HIF Regulates Multiple Translated Endogenous Retroviruses: Implications for Cancer Immunotherapy [RNA-Seq_QJ8080] 15 samples shares hif, immunotherapy, retroviruses, implications, translated, endogenous, multiple
- GSE336137 mTORC2-HIF-1β signaling creates a targetable sphingolipid vulnerability in lung cancer [Polysome-seq] 24 samples shares hif, polysome-seq
- GSE261187 Epigenetic priming induces cancer testis antigens and human endogenous retroviruses in glioma for enhanced T cell responses at single cell resolution (bulk RNA-Seq) 20 samples shares retroviruses, endogenous
- GSE301142 Multiple mechanisms lead to differential loss-of-function effects of pathogenic SARS2 variants: implications for genotype-phenotype analyses 18 samples shares implications, multiple
- GSE260643 BMAL1–HIF2A heterodimer modulates circadian variations of myocardial injury 155 samples shares hif
- GSE256000 Open chromatin, HIF binding and mRNA expression analysis in primary tubule and ccRCC cells [RNA-seq] 32 samples shares hif
- GSE302327 HIF-1alpha activity affects stem cell fate in patient-derived ileum organoids 29 samples shares hif
- GSE205472 A Single-Cell Atlas of HR+ Breast Cancer Reveals the Shifting of the Tumor Microenvironment in Response to Neoadjuvant Chemotherapy 13 samples shares hif
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.