SIRT6 Overexpression Counteracts Chromatin Aging [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 15 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 15 samples: 8 × sirt6 vs 7 × gfpGroups 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
- SIRT6 overexpression counteracts chromatin aging in the male murine liverNature communications · 2026
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 GSE294084_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1248044 and SRA study SRP577284. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 2 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8898387 gfp_1 gfp
- GSM8898388 gfp_2 gfp
- GSM8898389 gfp_3 gfp
- GSM8898390 gfp_4 gfp
- GSM8898391 gfp_5 gfp
- GSM8898392 gfp_6 gfp
- GSM8898393 gfp_7 gfp
- GSM8898394 sirt6_8 sirt6
- GSM8898395 sirt6_9 sirt6
- GSM8898396 sirt6_10 sirt6
- GSM8898397 sirt6_11 sirt6
- GSM8898398 sirt6_12 sirt6
- GSM8898399 sirt6_13 sirt6
- GSM8898400 sirt6_14 sirt6
- GSM8898401 sirt6_15 sirt6
- GSE294103 SIRT6 Overexpression Counteracts Chromatin Aging [ATAC-Seq_tg] 28 samples shares sirt6, overexpression, counteracts, chromatin, atac-seq, aging
- GSE294085 SIRT6 Overexpression Counteracts Chromatin Aging [ChIP-Seq] 74 samples shares sirt6, overexpression, counteracts, chromatin, aging
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares chromatin, atac-seq, aging
- GSE264229 Mapping the male mouse chromatin accessibility landscape by UUATAC-seq 33 samples shares chromatin, atac-seq
- GSE249077 Mapping the female mouse chromatin accessibility landscape by UUATAC-seq 23 samples shares chromatin, atac-seq
- GSE233039 The H3K9me3 heterochromatin integrity and function are sustained by H3K9me3 methyltransferases-HP1 dependencies [ATAC-Seq] 18 samples shares chromatin, atac-seq
- GSE306916 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages [ATAC-seq] 12 samples shares chromatin, atac-seq
- GSE263359 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [ATAC-seq] 11 samples shares chromatin, atac-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.