LncRNA SNHG26 facilitates inflammatory to proliferative state transition of keratinocyte progenitors during wound healing
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 17 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
- 17 samples: 16 distinct titles, 1 of them repeatedGroups 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
- The lncRNA SNHG26 drives the inflammatory-to-proliferative state transition of keratinocyte progenitor cells during wound healingNature communications · 2024
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 GSE218430_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 PRJNA903815 and SRA study SRP408928. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 17 sample titles: 16 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.
- GSM6744579 ChIP SNHG26-ASO1
- GSM6744580 CHIP SNHG26-ASO2
- GSM6744581 CHIP IgG
- GSM6744582 CHIP Ctr-ASO1
- GSM6744583 CHIP Ctr-ASO2
- GSM6744584 CHIP Input
- GSM6744585 Single Cell WT_Skin
- GSM6744586 Single Cell WT_Wound
- GSM6744587 Single Cell KO_Skin
- GSM6744588 Single Cell KO_Wound
- GSM6744589 CHIRP AC1_Even
- GSM6744590 CHIRP AC1_Odd
- GSM6744591 CHIRP AC2_Even
- GSM6744592 CHIRP AC2_Odd
- GSM6744593 CHIRP Input
- GSM6744594 CHIRP Lac_Even
- GSM6744595 CHIRP Lac_Odd
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.