METTL3 regulates chromatin of human trophoblasts
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 14 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
- Homo sapiens (human)
- Samples
- 14 samples: 14 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.
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 GSE202272_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 PRJNA835316 and SRA study SRP373753. 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 14 sample titles: 14 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.
- GSM6107579 shM3_METTL3_Input
- GSM6107580 shM3_METTL3_IP
- GSM6107581 shNC_METTL3_Input
- GSM6107582 shNC_METTL3_IP
- GSM6107583 shM3_ARID1A_Input
- GSM6107584 shM3_ARID1A_IP
- GSM6107585 shM3_H3K27ac_Input
- GSM6107586 shM3_H3K27ac_IP
- GSM6107587 shNC_ARID1A_Input
- GSM6107588 shNC_ARID1A_IP
- GSM6107589 shNC_H3K27ac_Input
- GSM6107590 shNC_H3K27ac_IP
- GSM6107591 shM3-ATAC
- GSM6107592 shNC-ATAC
- GSE243047 METTL3-mediated chromatin contacts promote phase separation during senescence. 22 samples shares mettl3, chromatin
- GSE216483 METTL3-dependent m6A RNA methylation regulates activation of the NLRP3 inflammasome 18 samples shares mettl3
- GSE281124 Loss of METTL3 potentiates transposable element expression and drives inflammation-induced cell plasticity in the mammary epithelium 24 samples shares mettl3
- GSE313114 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq dose_response] 21 samples shares mettl3
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 samples shares chromatin
- GSE334008 CTCF regulates wild-type and recombinant AAV gene expression by shaping viral chromatin [CUT&Run] 47 samples shares chromatin
- GSE325835 BATF3 regulates chromatin accessibility during CD8+ T lymphocyte differentiation 36 samples shares chromatin
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares chromatin
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.