Epigenome Editing by CRISPR/Cas9 Repressors for Silencing of Distal Regulatory Elements
RNA-seq (gene expression) · human · 18 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
- 18 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 GSE71557_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 PRJNA291509 and SRA study SRP061840. 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.
+ 18 more — browse all 18 samples with per-sample file links →
- GSE244257 Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6 mediated gene editing in hematopoietic stem cells 83 samples shares crispr, cas9, editing
- GSE290621 Quadruple adenine base edited allogeneic CAR T cells outperform CRISPR/Cas9 nuclease engineered T cells [RNA-seq] 33 samples shares crispr, cas9
- GSE303100 Dissecting Resistance to CDK4/6 Inhibition in Experimental Glioma via Genome-wide CRISPR-Cas9 Screening 24 samples shares crispr, cas9
- GSE310675 CRISPR-Cas9 Screening Identifies Resistance Mechanisms to KRAS Inhibition in Pancreatic Cancer 12 samples shares crispr, cas9
- GSE291384 Multiplex base editing of BCL11A regulatory elements to treat sickle cell disease 12 samples shares regulatory, elements, editing
- GSE311621 RNAseq profiling of eSCC human cell line (KYSE-410) knocked-out for SHIP2 using CRISPR/Cas9 technology 10 samples shares crispr, cas9
- GSE288996 Simultaneous single cell CRISPR, RNA, and ATAC-seq enables multiomic CRISPR screens to identify gene regulatory relationships 15 samples shares crispr, regulatory
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples shares regulatory, elements
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.