Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor [RNA-seq K562]
RNA-seq (gene expression) · human · 9 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
- 9 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 GSE293141_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 PRJNA1242875 and SRA study SRP573750. 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.
+ 9 more — browse all 9 samples with per-sample file links →
- GSE319117 Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor [RNA-seq T-cells B2M/TET2/TGFBR2] 14 samples shares polyfunctional, simultaneous, engineering, crispr-cas9, orthogonal, rna-seq, editor
- GSE293143 Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor 84 samples shares polyfunctional, simultaneous, engineering, crispr-cas9, orthogonal, editor
- GSE314129 Transcriptomics of K562/S and K562/R, KU812/S and KU812/R of imatinib resistant cell using RNA-sequencing. 8 samples shares k562, rna-seq
- GSE327354 Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-seq Exp3] 18 samples shares engineering, rna-seq
- GSE231507 Impact of azide metabolic glycoengineering and bioorthogonal click chemistry cell-cell tethering in adipose tissue-derived mesenchymal stromal cells 15 samples shares engineering, orthogonal
- GSE327357 Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-Seq Exp1] 14 samples shares engineering, rna-seq
- GSE327352 Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-seq Exp2] 12 samples shares engineering, rna-seq
- GSE295400 Engineering perfusable vascular networks in organoids-on-chip [bulk RNA-seq] 12 samples shares engineering, 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.