Transcriptomic and Epigenomic profiles analysis during human adaptation to simulated High-Altitude Hypoxia
RNA-seq (gene expression) · human · 32 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
- 32 samples: 8 conditions, mostly with about 4 replicates eachGroups 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.
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 GSE313740_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 PRJNA1381515 and SRA study SRP655221. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 32 sample titles; they account for 32 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.
- GSM9373317 A-T0 A-T
- GSM9373318 A-T1 A-T
- GSM9373319 A-T2 A-T
- GSM9373320 A-T3 A-T
- GSM9373321 B-T0 B-T
- GSM9373322 B-T1 B-T
- GSM9373323 B-T2 B-T
- GSM9373324 B-T3 B-T
- GSM9373325 C-T0 C-T
- GSM9373326 C-T1 C-T
- GSM9373327 C-T2 C-T
- GSM9373328 C-T3 C-T
- GSM9373329 D-T0 D-T
- GSM9373330 D-T1 D-T
- GSM9373331 D-T2 D-T
- GSM9373332 D-T3 D-T
- GSM9373333 E-T0 E-T
- GSM9373334 E-T1 E-T
- GSM9373335 E-T2 E-T
- GSM9373336 E-T3 E-T
- GSM9373337 G-T0 G-T
- GSM9373338 G-T1 G-T
- GSM9373339 G-T2 G-T
- GSM9373340 G-T3 G-T
- GSM9373341 H-T0 H-T
- GSM9373342 H-T1 H-T
- GSM9373343 H-T2 H-T
- GSM9373344 H-T3 H-T
- GSM9373345 J-T0 J-T
- GSM9373346 J-T1 J-T
- GSM9373347 J-T2 J-T
- GSM9373348 J-T3 J-T
- GSE271456 Locus-specific and genome-wide analysis of adaptations to hypoxia in iPSC-derived endothelium from a population adapted to high altitude [RNA-Seq] 20 samples shares adaptation, hypoxia
- GSE263717 Epigenomic profiles of SLE resting and transitional B cells 150 samples shares epigenomic, profiles
- GSE299820 Innate immune epigenomic landscape following controlled human influenza virus infection 755 samples shares epigenomic
- GSE311827 AP-1 Mediates Cellular Adaptation and Memory Formation [Bulk RNA-seq] 192 samples shares adaptation
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares adaptation
- GSE271385 The APOE isoforms differentially shape the transcriptomic and epigenomic landscapes of human microglia in a xenotransplantation model of Alzheimer’s disease [RNA-seq] 19 samples shares epigenomic
- GSE294934 Epigenomic analysis of organoids from colorectal cancer peritoneal and liver metastases uncovers a mechanism of resistance to doxorubicin 15 samples shares epigenomic
- GSE279256 RAS pathway activation and microenvironmental adaptation as hallmarks of myeloid sarcoma 108 samples shares adaptation
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.