Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging-Related Pathways [RNA-seq]
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 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
- Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging-Related PathwaysAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE226005_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 PRJNA938241 and SRA study SRP424330. 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 12 sample titles: 12 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.
- GSM7061572 IMR90_Senescent_rep1(RNA-seq)
- GSM7061573 IMR90_Senescent_rep2(RNA-seq)
- GSM7061574 IMR90_Young_rep1(RNA-seq)
- GSM7061575 IMR90_Young_rep2(RNA-seq)
- GSM7061576 IMR90_Hypoxia_rep1(RNA-seq)
- GSM7061577 IMR90_Hypoxia_rep2(RNA-seq)
- GSM7061578 IMR90_Normoxia_rep1(RNA-seq)
- GSM7061579 IMR90_Normoxia_rep2(RNA-seq)
- GSM7329325 IMR90_2-DG_rep1(RNA-seq)
- GSM7329326 IMR90_2-DG_rep2(RNA-seq)
- GSM7329327 IMR90_Control1_rep1(RNA-seq)
- GSM7329328 IMR90_Control1_rep2(RNA-seq)
- GSE277813 VAV3 antagonizes Skeletal Muscle Disulfidptosis to maintain Glucose Homeostasis in Type 2 Diabetes 99 samples shares antagonizes, skeletal
- GSE287953 Investigating therapy-induced senescence as a reversible escape mechanism of drug resistance in breast cancer cells using high-dose doxorubicin treatment [RNA-seq] 45 samples shares senescence, rna-seq
- GSE287058 Cellular Quiescence Displays a Transcriptional Inflammatory Phenotype Similar to the One in Cellular Senescence [bulk RNA-seq] 40 samples shares senescence, rna-seq
- GSE320212 Identifying Senescence and Immune Biomarkers Predictive of Benefit to Combined CDK4/6 and PD-1 Blockade in Dedifferentiated Liposarcoma: Single-Cell RNA-seq of Serial Tumor Biopsies 23 samples shares senescence, rna-seq
- GSE301164 Comparative analysis of replicative and doxorubicin-induced senescence identifies conserved transcriptomic signatures in aging fibroblasts [RNA-Seq1] 21 samples shares senescence, rna-seq
- GSE279569 Histone lactylation drives liver cancer metastasis by facilitating NSF1 mediated ferroptosis resistance after microwave ablation 20 samples shares lactylation, histone
- GSE301166 PURPL bidirectionally controls senescence: depletion rejuvenates fibroblasts while overexpression accelerates aging [RNA-Seq2] 18 samples shares senescence, rna-seq
- GSE256122 Lactylation of LSD1 is an acquired epigenetic vulnerability of BRAFi/MEKi-resistant melanoma [RNA-seq] 18 samples shares lactylation, rna-seq
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.