Molecular mechanism of EP300 in AC16 cell line
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: 3 × siNC vs 3 × siEP300 vs 3 × siNC.H2O2 vs 3 × siEP300.H2O2Groups 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
- Downregulation of MLF1 safeguards cardiomyocytes against senescence-associated chromatin openingNucleic acids research · 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 GSE261096_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 PRJNA1085281 and SRA study SRP493955. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8134327 siNC_1 siNC
- GSM8134328 siNC_2 siNC
- GSM8134329 siNC_3 siNC
- GSM8134330 siEP300_4 siEP300
- GSM8134331 siEP300_5 siEP300
- GSM8134332 siEP300_6 siEP300
- GSM8134333 siNC.H2O2_7 siNC.H2O2
- GSM8134334 siNC.H2O2_8 siNC.H2O2
- GSM8134335 siNC.H2O2_9 siNC.H2O2
- GSM8134336 siEP300.H2O2_10 siEP300.H2O2
- GSM8134337 siEP300.H2O2_11 siEP300.H2O2
- GSM8134338 siEP300.H2O2_12 siEP300.H2O2
- GSE302553 Pathogenetic mechanisms of muscle-specific ribosomes in dilated cardiomyopathy (AC16 RNA-seq) 42 samples shares ac16
- GSE245969 EP300/CREBBP acetyltransferase inhibition limits steroid receptor and FOXA1 signaling in prostate cancer cells 122 samples shares ep300
- GSE226482 Single cell RNA sequencing of spinal motor neurons and interneurons differentiated from isogenic FUS and TARDBP human induced pluripotent stem cell lines harbouring ALS-causative mutations 1415 samples shares line
- GSE314526 Differential Cellular Mechanisms Underlie Language and Executive Decline in Amyotrophic Lateral Sclerosis [RNA-seq] 72 samples shares line
- GSE316734 Characterization of sensitivity and resistance mechanisms to DHX9 inhibitor in endometrial and ovarian cancer cell lines 48 samples shares line
- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares line
- GSE289766 Analysis of the mechanism of acquisition of chemotherapy resistance in colorectal cancer cell lines 27 samples shares line
- GSE336490 Comparative toxicogenomic profiling of human epithelial cell lines exposed to hazardous chemicals 120 samples shares line
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.