The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females
RNA-seq (gene expression) · human · 38 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
- 38 samples: 10 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.
- Paper
- The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young femalesPhysiological genomics · 2024
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 GSE263838_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 PRJNA1099582 and SRA study SRP501408. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 38 samples.
How we read this: 10 replicated groups read from 38 sample titles; they account for 38 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.
- GSM8199907 ANLI1 ANLI
- GSM8199908 ANLI3 ANLI
- GSM8199909 ANLI5 ANLI
- GSM8199910 ANLI7 ANLI
- GSM8199911 ELLI1 ELLI
- GSM8199912 ELLI3 ELLI
- GSM8199913 ELLI5 ELLI
- GSM8199914 ELLI7 ELLI
- GSM8199915 GEDA1 GEDA
- GSM8199916 GEDA3 GEDA
- GSM8199917 GEDA5 GEDA
- GSM8199918 GEDA7 GEDA
- GSM8199919 GEKN1 GEKN
- GSM8199920 GEKN3 GEKN
- GSM8199921 GEKN5 GEKN
- GSM8199922 GEKN7 GEKN
- GSM8199923 HABA1 HABA
- GSM8199924 HABA3 HABA
- GSM8199925 HABA5 HABA
- GSM8199926 HABA7 HABA
- GSM8199927 JEHA1 JEHA
- GSM8199928 JEHA3 JEHA
- GSM8199929 JEHA5 JEHA
- GSM8199930 JEHA7 JEHA
- GSM8199931 KISZ1 KISZ
- GSM8199932 KISZ3 KISZ
- GSM8199933 KISZ5 KISZ
- GSM8199934 KISZ7 KISZ
- GSM8199935 NACR1 NAC
- GSM8199936 NACR3 NAC
- GSM8199937 NACR5 NAC
- GSM8199938 NACR7 NAC
- GSM8199939 SASY1 SASY
- GSM8199940 SASY7 SASY
- GSM8199941 TATU1 TATU
- GSM8199942 TATU3 TATU
- GSM8199943 TATU5 TATU
- GSM8199944 TATU7 TATU
- GSE312780 Blood-flow restriction resistance training improves skeletal muscle mitochondrial oxidative capacity and cardiovascular risk factors in type 2 diabetes 34 samples shares restriction, resistance, skeletal, muscle
- GSE330399 Molecular and Structural Basis of Pan-Resistance to BTK Inhibitors and Degraders 100 samples shares resistance
- GSE286991 Sustained PRC1.1 activity preserves gene repression independently of PRC2.2 and restrains leukemic cell differentiation 96 samples shares sustained
- GSE273829 GABA promotes resistance to immunotherapy of patients with TLS-positive tumors [RNA-seq] 92 samples shares resistance
- GSE286827 4-1BB+ Tregs and inhibitory progenitor exhausted T cells confer resistance to anti-PD-L1 and anti-CTLA-4 combination therapy 87 samples shares resistance
- GSE211434 Diverse immune suppressing cancer communications with myeloid cells prevent T cell activation and recruitment and provide resistance to cell cycle inhibitor therapy 81 samples shares resistance
- GSE245948 A dynamic subcutaneous adipose transcriptome of human insulin resistance identifies a molecular predisposition shared with visceral adipose tissue 76 samples shares resistance
- GSE312235 Tumors Hijack Immune-Privileging Regulons via Distinct Cell Types to Confer T Cell Desertion and Immunotherapy Resistance Across Various Cancers 72 samples shares resistance
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.