Epigenome Editing by a CRISPR/Cas9-Based Acetyltransferase Activates Genes from Promoters and Enhancers
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples
- 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 GSE66742_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA277845 and SRA study SRP056036. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE243185 Activation of the imprinted Prader-Willi Syndrome locus by CRISPR-based epigenome editing [RNA-seq] 18 samples shares crispr, epigenome, editing
- GSE283554 A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics 22 samples shares cas9-based, crispr
- GSE224986 Single-cell CRISPRi screens of breast cancer associated enhancers 94 samples shares crispr, enhancers
- GSE333489 Integrative multiomic analysis reveals how non-viral delivery system selection shapes CRISPR gene editing outcomes in stem cells. 27 samples shares crispr, editing
- GSE248671 Gene expression analysis of human sickle cell disease (SCD) and healthy donor (HD) CD34+ hematopoietic stem/progenitor cells (HSPCs) treated with CRISPR/Cas9 targeting the HBG promoters or untreated samples 24 samples shares crispr, promoters
- GSE244257 Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6 mediated gene editing in hematopoietic stem cells 83 samples shares crispr, editing
- GSE292753 Analysis of chromatin occupancy in erythroid cells by CUT&RUN following CRISPR editing of BCL11A enhancer 33 samples shares crispr, editing
- GSE284289 Removal of promoter DNA methylation by epigenome editing reverses HBG silencing [RNA-seq] 40 samples shares epigenome, editing
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.