Transcriptomics of varying strength and timing of specific activation of the Integrated Stress Response
RNA-seq (gene expression) · human · 60 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
- 60 samples: 20 conditions, mostly in triplicateGroups 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
- Specific activation of the integrated stress response uncovers regulation of central carbon metabolism and lipid droplet biogenesisNature communications · 2024
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 GSE273601_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 PRJNA1142486 and SRA study SRP523369. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 60 samples.
How we read this: 20 replicated groups read from 60 sample titles; they account for 60 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.
- GSM8433726 DmrPERK, UT, 0h, replicate 1 DmrPERK, UT, 0h,
- GSM8433727 DmrPERK, UT, 0h, replicate 2 DmrPERK, UT, 0h,
- GSM8433728 DmrPERK, UT, 0h, replicate 3 DmrPERK, UT, 0h,
- GSM8433729 DmrPERK, Dim .01 nM, 1h, replicate 1 DmrPERK, Dim .01 nM, 1h,
- GSM8433730 DmrPERK, Dim .01 nM, 1h, replicate 2 DmrPERK, Dim .01 nM, 1h,
- GSM8433731 DmrPERK, Dim .01 nM, 1h, replicate 3 DmrPERK, Dim .01 nM, 1h,
- GSM8433732 DmrPERK, Dim .01 nM, 2h, replicate 1 DmrPERK, Dim .01 nM, 2h,
- GSM8433733 DmrPERK, Dim .01 nM, 2h, replicate 2 DmrPERK, Dim .01 nM, 2h,
- GSM8433734 DmrPERK, Dim .01 nM, 2h, replicate 3 DmrPERK, Dim .01 nM, 2h,
- GSM8433735 DmrPERK, Dim .01 nM, 4h, replicate 1 DmrPERK, Dim .01 nM, 4h,
- GSM8433736 DmrPERK, Dim .01 nM, 4h, replicate 2 DmrPERK, Dim .01 nM, 4h,
- GSM8433737 DmrPERK, Dim .01 nM, 4h, replicate 3 DmrPERK, Dim .01 nM, 4h,
- GSM8433738 DmrPERK, Dim .01 nM, 8h, replicate 1 DmrPERK, Dim .01 nM, 8h,
- GSM8433739 DmrPERK, Dim .01 nM, 8h, replicate 2 DmrPERK, Dim .01 nM, 8h,
- GSM8433740 DmrPERK, Dim .01 nM, 8h, replicate 3 DmrPERK, Dim .01 nM, 8h,
- GSM8433741 DmrPERK, Dim .01 nM, 16h, replicate 1 DmrPERK, Dim .01 nM, 16…
- GSM8433742 DmrPERK, Dim .01 nM, 16h, replicate 2 DmrPERK, Dim .01 nM, 16…
- GSM8433743 DmrPERK, Dim .01 nM, 16h, replicate 3 DmrPERK, Dim .01 nM, 16…
- GSM8433744 DmrPERK, Dim .01 nM, 24h, replicate 1 DmrPERK, Dim .01 nM, 24…
- GSM8433745 DmrPERK, Dim .01 nM, 24h, replicate 2 DmrPERK, Dim .01 nM, 24…
- GSM8433746 DmrPERK, Dim .01 nM, 24h, replicate 3 DmrPERK, Dim .01 nM, 24…
- GSM8433747 DmrPERK, Dim .195 nM, 1h, replicate 1 DmrPERK, Dim .195 nM, 1…
- GSM8433748 DmrPERK, Dim .195 nM, 1h, replicate 2 DmrPERK, Dim .195 nM, 1…
- GSM8433749 DmrPERK, Dim .195 nM, 1h, replicate 3 DmrPERK, Dim .195 nM, 1…
- GSM8433750 DmrPERK, Dim .195 nM, 2h, replicate 1 DmrPERK, Dim .195 nM, 2…
- GSM8433751 DmrPERK, Dim .195 nM, 2h, replicate 2 DmrPERK, Dim .195 nM, 2…
- GSM8433752 DmrPERK, Dim .195 nM, 2h, replicate 3 DmrPERK, Dim .195 nM, 2…
- GSM8433753 DmrPERK, Dim .195 nM, 4h, replicate 1 DmrPERK, Dim .195 nM, 4…
- GSM8433754 DmrPERK, Dim .195 nM, 4h, replicate 2 DmrPERK, Dim .195 nM, 4…
- GSM8433755 DmrPERK, Dim .195 nM, 4h, replicate 3 DmrPERK, Dim .195 nM, 4…
- GSM8433756 DmrPERK, Dim .195 nM, 8h, replicate 1 DmrPERK, Dim .195 nM, 8…
- GSM8433757 DmrPERK, Dim .195 nM, 8h, replicate 2 DmrPERK, Dim .195 nM, 8…
- GSM8433758 DmrPERK, Dim .195 nM, 8h, replicate 3 DmrPERK, Dim .195 nM, 8…
- GSM8433759 DmrPERK, Dim .195 nM, 16h, replicate 1 DmrPERK, Dim .195 nM, 1…
- GSM8433760 DmrPERK, Dim .195 nM, 16h, replicate 2 DmrPERK, Dim .195 nM, 1…
- GSM8433761 DmrPERK, Dim .195 nM, 16h, replicate 3 DmrPERK, Dim .195 nM, 1…
- GSM8433762 DmrPERK, Dim .195 nM, 24h, replicate 1 DmrPERK, Dim .195 nM, 2…
- GSM8433763 DmrPERK, Dim .195 nM, 24h, replicate 2 DmrPERK, Dim .195 nM, 2…
- GSM8433764 DmrPERK, Dim .195 nM, 24h, replicate 3 DmrPERK, Dim .195 nM, 2…
- GSM8433765 DmrPERK, UT 2, 0h, replicate 1 DmrPERK, UT 2, 0h,
+ 20 more — browse all 60 samples with per-sample file links →
- GSE267239 Disruption of the Integrator complex triggers the Integrated Stress Response through formation of double-stranded RNA 57 samples shares integrated, stress
- GSE289956 Single-cell multiomics of neuron activation reveals context-specific genetics of brain disorders [022] 30 samples shares activation, specific
- GSE333486 CAR design equips diverse immune cells with unique antigen-specific activation identities 26 samples shares activation, specific
- GSE249632 Longitudinal analysis of antigen-specific T cells after Shingrix vaccination 2866 samples shares specific
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE278688 Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC [scRNA-Seq] 29 samples shares integrated
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares specific
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.