Non-CG DNA methylation and MeCP2 stabilize repeated tuning of long genes that distinguish closely related neuron types [RNA-seq]
DNA methylation · mouse · 38 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Mus musculus (mouse)
- Samples
- 38 samples: 38 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 GSE237084_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 beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA993684 and SRA study SRP453470. 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 38 sample titles: 38 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.
- GSM7594495 L4, IP1, WT, Gabel, 156-1, GTACACCT, S2, R1, 001
- GSM7594496 L4, IP2, WT, Gabel, 178-3, TACATCGG, S5, R1, 001
- GSM7594497 L4, IP3, WT, Gabel, 244-4, CCAACACT, S7, R1, 001
- GSM7594498 L4, IP4, WT, Gabel, 338-6, TCTAGGAG, S8, R1, 001
- GSM7594499 L4, IP1, KO, Gabel, 156-3, ACGAGAAC, S3, R1, 001
- GSM7594500 L4, IP2, KO, Gabel, 178-1, CGACCTAA, S4, R1, 001
- GSM7594501 L4, IP3, KO, Gabel, 244-3, ATCGTCTC, S6, R1, 001
- GSM7594502 L4, IP4, KO, Gabel, 338-7, CTCGAACA, S9, R1, 001
- GSM7594503 L5, IP1, WT, Gabel, 653-7, IP, AACTCGGA, S5, R1, 001
- GSM7594504 L5, IP2, WT, Gabel, 653-5, IP, AATCCAGC, S3, R1, 001
- GSM7594505 L5, IP3, WT, Gabel, 676-4, IP, GCACACAA, S9, R1, 001
- GSM7594506 L5, IP4, WT, Gabel, 681-3, IP, CTCCTAGT, S10, R1, 001
- GSM7594507 L5, IP1, KO, Gabel, 653-4, IP, CGCTACAT, S2, R1, 001
- GSM7594508 L5, IP2, KO, Gabel, 653-6, IP, CGTCTAAC, S4, R1, 001
- GSM7594509 L5, IP3, KO, Gabel, 676-3, IP, ATGACAGG, S8, R1, 001
- GSM7594510 L5, IP4, KO, Gabel, 681-5, IP, TCTTCGAC, S11, R1, 001
- GSM7594511 L5, Input3, WT, Gabel, 676-4, N, ACTCCTAC, S13, R1, 001
- GSM7594512 L5, Input3, KO, Gabel, 676-3, N, GACTACGA, S12, R1, 001
- GSM7594513 PV, IP1, WT, 586, run, 2916, s, 1, withindex, sequence.txt, CGCTACAT
- GSM7594514 PV, IP2, WT, 594, run, 2916, s, 1, withindex, sequence.txt, CGTCTAAC
- GSM7594515 PV, IP3, 598, wt, run, 2916, s, 1, withindex, sequence.txt, GTCGAGAA
- GSM7594516 PV, IP4, WT, 602, run, 2916, s, 1, withindex, sequence.txt, ATGACAGG
- GSM7594517 PV, IP1, KO, 587, run, 2916, s, 1, withindex, sequence.txt, AATCCAGC
- GSM7594518 PV, IP2, KO, 597, run, 2916, s, 1, withindex, sequence.txt, AACTCGGA
- GSM7594519 PV, IP3, KO, 600, run, 2916, s, 1, withindex, sequence.txt, ACAACAGC
- GSM7594520 PV, IP4, KO, 603, run, 2916, s, 1, withindex, sequence.txt, GCACACAA
- GSM7594521 PV, Input3, WT, 598, run, 2916, s, 1, withindex, sequence.txt, CGTCCATT
- GSM7594522 PV, Input3, KO, 600, run, 2916, s, 1, withindex, sequence.txt, AACTTGCC
- GSM7594523 SST, IP1, WT, Gabel, 637, A01, CGCTACATAT, S2, R1, 001
- GSM7594524 SST, IP2, WT, Gabel, 734, D01, AACTCGGAAT, S5, R1, 001
- GSM7594525 SST, IP3, WT, Gabel, 796, F01, ACAACAGCAT, S7, R1, 001
- GSM7594526 SST, IP4, WT, Gabel, 333-5, H01, GCACACAAAT, S9, R1, 001
- GSM7594527 SST, IP1, KO, Gabel, 638, B01, AATCCAGCAT, S3, R1, 001
- GSM7594528 SST, IP2, KO, Gabel, 733, C01, CGTCTAACAT, S4, R1, 001
- GSM7594529 SST, IP3, KO, Gabel, 795, E01, GTCGAGAAAT, S6, R1, 001
- GSM7594530 SST, IP4, KO, Gabel, 333-4, G01, ATGACAGGAT, S8, R1, 001
- GSM7594531 run, 2916, s, 1, withindex, sequence.txt, ACGAGAAC
- GSM7594532 run, 2916, s, 1, withindex, sequence.txt, GTACACCT
- GSE295530 MeCP2 stabilizes the glucocorticoid system in active chromatin regions [RNA-seq] 723 samples shares mecp2, stabilize, rna-seq
- GSE299346 Mecp2 stabilizes the glucocorticoid system in active chromatin regions [scRNA-Seq] 36 samples shares mecp2, stabilize, rna-seq
- GSE294963 In Vitro Modeling of Age-Related Methylation Changes with Intestinal Organoids [RNA-Seq] 11 samples shares methylation, related, rna-seq
- GSE298162 Mecp2 acts as a key stabilizer of glucocorticoid-induced genes in active chromatin regions [scATAC-Seq] 81 samples shares mecp2, stabilize
- GSE298418 MeCP2 stabilizes the glucocorticoid system in active chromatin regions [CUT&Tag] 63 samples shares mecp2, stabilize
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares methylation, rna-seq
- GSE272929 Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq liver] 75 samples shares distinguish, rna-seq
- GSE296993 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [RNA-seq of mESC] 50 samples shares methylation, 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.