ACVR1-mediated glycolytic reprogramming promotes histone lactylation and neuronal pyroptosis in neuropathic pain {ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
- 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.
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 GSE306458_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 PRJNA1310864 and SRA study SRP613055. 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.
- GSM9201736 sham1, IP
- GSM9201737 sham2, IP
- GSM9201738 LDN1, IP
- GSM9201739 LDN2, IP
- GSM9201740 SNI1, IP
- GSM9201741 SNI2, IP
- GSM9201742 sham1, Input
- GSM9201743 sham2, Input
- GSM9201744 LDN1, Input
- GSM9201745 LDN2, Input
- GSM9201746 SNI1, Input
- GSM9201747 SNI2, Input
- GSE251640 Dux promotes metabolism-lactylation-MET cascaded network during early iPSC reprogramming with Brg1 as the histone lactylation reader [RNA-Seq] 12 samples shares reprogramming, lactylation, promotes
- GSE279042 Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [CUT&Tag] 30 samples shares reprogramming, promotes
- GSE278100 Foxa1-Mediated Chromatin Remodeling and Enhancer Reprogramming Promotes Gemcitabine Resistance in Pancreatic Cancer 54 samples shares reprogramming, promotes
- GSE333494 Hippocampal CA3 Nex+ neuronal TNFR2 alleviates chronic neuropathic pain by sex-dependently engaging opioid and endocannabinoid pathways 26 samples shares neuropathic, neuronal
- GSE307669 Succinate-GPR91 signaling promotes cardiomyocyte metabolic reprogramming and NAD⁺ production to alleviate HFpEF 16 samples shares reprogramming, promotes
- GSE302858 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [ATAC-seq] 42 samples shares reprogramming
- GSE304037 Decoupling oxidative resilience from reprogramming to rejuvenate the RPE and restore vision [GSTA4_ATAC-seq_1] 42 samples shares reprogramming
- GSE286574 Intrauterine hyperglycemia impairs primordial germ cell development and fertility by sex-specific epigenetic reprogramming interference in mice offspring [ATAC-seq] 30 samples shares reprogramming
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.