A p53 score derived from TP53 CRISPR/Cas9 HMCLs predicts survival and reveals major role of BAX in BH3 mimetics response [1]
Single-cell RNA-seq · human · 42 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 42 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.
- Paper
- A p53 score derived from TP53 CRISPR/Cas9 HMCLs predicts survival and reveals a major role of BAX in the response to BH3 mimeticsBlood · 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 GSE245049_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1026858 and SRA study SRP465600. 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.
+ 42 more — browse all 42 samples with per-sample file links →
- GSE290621 Quadruple adenine base edited allogeneic CAR T cells outperform CRISPR/Cas9 nuclease engineered T cells [RNA-seq] 33 samples shares crispr, cas9
- GSE301632 Genome-wide CRISPR-Cas9 knockout screening identifies NUDCD2 depletion as sensitizer for bortezomib, carfilzomib and ixazomib in multiple myeloma. 27 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
- 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, cas9
- GSE240468 Silencing of NFYC-AS1 by Gapmer antisense oligonucleotides and CRISPR/Cas9 TSS deletion. 23 samples shares crispr, cas9
- GSE283554 A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics 22 samples shares crispr, cas9
- GSE226978 RNA-Sequencing Analysis of LNCaP Wildtype (WT) and RB-p53 CRISPR-Cas9 Double Knockout (DKO) Cells Treated with Enzalutamide 16 samples shares crispr, cas9
- GSE319117 Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor [RNA-seq T-cells B2M/TET2/TGFBR2] 14 samples shares crispr, cas9
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.