The expression of Welander distal myopathy-related TIA1 mutation exacerbates the dynamics of P-bodies and stress granules under oxidative stress
RNA-seq (gene expression) · human · 30 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
- 30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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
- Welander distal myopathy-associated TIA1 mutation exacerbates P-body and stress granule dynamics concomitant with nucleolar stress under oxidative stressGenes & diseases · 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 GSE240735_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 PRJNA1005178 and SRA study SRP454880. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 30 sample titles: 30 distinct titles with little repetition. 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.
- GSM7708498 1.Cytosol_WT_R1
- GSM7708499 2.Cytosol_WT_R2
- GSM7708500 3.Cytosol_WT_R3
- GSM7708501 4.Cytosol_WDM_R1
- GSM7708502 5.Cytosol_WDM_R2
- GSM7708503 6.Cytosol_WDM_R3
- GSM7708504 7.Cytosol_WT_tet_R1
- GSM7708505 8.Cytosol_WT_tet_R2
- GSM7708506 9.Cytosol_WT_tet_R3
- GSM7708507 10.Cytosol_WDM_tet_R1
- GSM7708508 11.Cytosol_WDM_tet_R2
- GSM7708509 12.Cytosol_WDM_tet_R3
- GSM7708510 13.Cytosol_WT_tet_ars_R1
- GSM7708511 14.Cytosol_WT_tet_ars_R2
- GSM7708512 15.Cytosol_WT_tet_ars_R3
- GSM7708513 16.Cytosol_WDM_tet_ars_R1
- GSM7708514 17.Cytosol_WDM_tet_ars_R2
- GSM7708515 18.Cytosol_WDM_tet_ars_R3
- GSM7708516 19.SGs_WT_tet_R1
- GSM7708517 20.SGs_WT_tet_R2
- GSM7708518 21.SGs_WT_tet_R3
- GSM7708519 22.SGs_WDM_tet_R1
- GSM7708520 23.SGs_WDM_tet_R2
- GSM7708521 24.SGs_WDM_tet_R3
- GSM7708522 25.SGs_WT_tet_ars_R1
- GSM7708523 26.SGs_WT_tet_ars_R2
- GSM7708524 27.SGs_WT_tet_ars_R3
- GSM7708525 28.SGs_WDM_tet_ars_R1
- GSM7708526 29.SGs_WDM_tet_ars_R2
- GSM7708527 30.SGs_WDM_tet_ars_R3
- GSE241672 Integrating Gene Expression and Splicing Dynamics Across Dose-Response Oxidative Modulators 400 samples shares oxidative, dynamics
- GSE297158 RNA-seq of control and TIA1-knockdown HMC3 cells 6 samples shares tia1
- GSE273435 Oxidative Stress and Inflammation-Related mRNAs Are Elevated in Serum of a Finnish Wet Age-Related Macular Degeneration Cohort 124 samples shares oxidative
- GSE328981 Quantum Molecular Resonance attenuates an oxidative stress-induced chimeric transcriptome program in human retinal pigment epithelial cells, preserving RNA structural fidelity 108 samples shares oxidative
- GSE279086 Attenuated kidney oxidative metabolism in young adults with type 1 diabetes 40 samples shares oxidative
- GSE288243 Atovaquone-induced oxidative stress activates pentose phosphate pathway and immunogenic cell death in ovarian cancer 39 samples shares oxidative
- GSE316708 Prolonged Loss of Oxidative Phosphorylation and Mitochondrial Mass Characterize CD66b+ Leukocytes from Patients with Sepsis 38 samples shares oxidative
- GSE268092 TFE3 fusion proteins drive oxidative metabolism, ferroptosis resistance and general RNA synthesis in translocation renal cell carcinoma. [RNA-seq] 36 samples shares oxidative
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.