7SL RNA and SRP orchestrate a global cellular response to acute thermal stress
RNA-seq (gene expression) · mouse · 28 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
- Mus musculus (mouse)
- Samples
- 28 samples: 14 conditions, mostly in duplicateGroups 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
- 7SL RNA and signal recognition particle orchestrate a global cellular response to acute thermal stressNature communications · 2025
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 GSE243286_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 PRJNA1017527 and SRA study SRP460647. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 14 replicated groups read from 28 sample titles; they account for 28 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.
- GSM7779491 Control, Antiense, Rep1 Control, Antiense,
- GSM7779492 Control, Input, Rep1 Control, Input,
- GSM7779493 Control, Sense, Rep1 Control, Sense,
- GSM7779494 HS, Antisense, Rep1 HS, Antisense,
- GSM7779495 HS, Input, Rep1 HS, Input,
- GSM7779496 HS, Sense, Rep1 HS, Sense,
- GSM7779497 Control, Antiense, Rep2 Control, Antiense,
- GSM7779498 Control, Input, Rep2 Control, Input,
- GSM7779499 Control, Sense, Rep2 Control, Sense,
- GSM7779500 HS, Antisense, Rep2 HS, Antisense,
- GSM7779501 HS, Input, Rep2 HS, Input,
- GSM7779502 HS, Sense, Rep2 HS, Sense,
- GSM7782791 RNA, nohs, siCtrl, rep1 RNA, nohs, siCtrl,
- GSM7782792 RNA, nohs, siSrp72, rep1 RNA, nohs, siSrp72,
- GSM7782793 RNA, hs, siCtrl, rep1 RNA, hs, siCtrl,
- GSM7782794 RNA, hs, siSrp72, rep1 RNA, hs, siSrp72,
- GSM7782795 RNA, nohs, siCtrl, rep2 RNA, nohs, siCtrl,
- GSM7782796 RNA, nohs, siSrp72, rep2 RNA, nohs, siSrp72,
- GSM7782797 RNA, hs, siCtrl, rep2 RNA, hs, siCtrl,
- GSM7782798 RNA, hs, siSrp72, rep2 RNA, hs, siSrp72,
- GSM7782799 Ribo-seq, nohs, siCtrl, rep1 Ribo-seq, nohs, siCtrl,
- GSM7782800 Ribo-seq, nohs, siSrp72, rep1 Ribo-seq, nohs, siSrp72,
- GSM7782801 Ribo-seq, hs, siCtrl, rep1 Ribo-seq, hs, siCtrl,
- GSM7782802 Ribo-seq, hs, siSrp72, rep1 Ribo-seq, hs, siSrp72,
- GSM7782803 Ribo-seq, nohs, siCtrl, rep2 Ribo-seq, nohs, siCtrl,
- GSM7782804 Ribo-seq, nohs, siSrp72, rep2 Ribo-seq, nohs, siSrp72,
- GSM7782805 Ribo-seq, hs, siCtrl, rep2 Ribo-seq, hs, siCtrl,
- GSM7782806 Ribo-seq, hs, siSrp72, rep2 Ribo-seq, hs, siSrp72,
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares cellular, global, stress
- GSE241850 Psychological stress-induced ALKBH5 deficiency promotes tumour innervation and pancreatic cancer progression via extracellular vesicle transfer of m6A-modified RNAs 57 samples shares cellular, stress
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares cellular, acute
- GSE342169 Cysteine and Glycine Rich Protein 3 (Csrp3) modulates cardiomyocyte mitotic cell cycle entry through Ring Finger Protein 5 (Rnf5)/p38 MAPK dependent pathway 12 samples shares srp
- GSE312107 PerturbPair: A Dual-Modality Platform Integrating Perturb-seq and Optical Pooled Screening to Map Cellular Responses and Enable Cross-Modal Inference 70 samples shares cellular
- GSE315243 Oncogenic and tumor-suppressive forces converge on a progenitor-orchestrated niche to shape early tumorigenesis 69 samples shares orchestrate
- GSE336756 Compartmentalisation of m6A (N6-methyladenosine) methylated RNA in somatic or axonal subcellular locations is dependent on Nerve Growth Factor (NGF) state in sympathetic neurons [Axon-meRIP-seq] 32 samples shares cellular
- GSE308969 The origin of hepatocellular carcinoma is regulated by metabolic zonation 31 samples shares cellular
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.