Synthetic essentiality of thymine DNA glycosylase in p53-deficient cancer [strand specific RNA-seq]
Single-cell RNA-seq · mouse · 13 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
- Mus musculus (mouse)
- Samples
- 13 samples: 13 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE236726_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 PRJNA992210 and SRA study SRP447853. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 13 sample titles: 13 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.
- GSM7574572 B16_WT1 stranded RNA-Seq
- GSM7574573 B16_WT2 stranded RNA-Seq
- GSM7574574 B16_Trp53KO1 stranded RNA-Seq
- GSM7574575 B16_Trp53KO2 stranded RNA-Seq
- GSM7574576 B16_TdgKO1 stranded RNA-Seq
- GSM7574577 B16_TdgKO2 stranded RNA-Seq
- GSM7574578 B16_TdgTrp53_DKO1 stranded RNA-Seq
- GSM7574579 B16_TdgTrp53_DKO2 stranded RNA-Seq
- GSM7574580 KP_WT1 stranded RNA-Seq
- GSM7574581 KP_WT2 stranded RNA-Seq
- GSM7574582 KP_TdgKO1 stranded RNA-Seq
- GSM7574583 KP_TdgKO2 stranded RNA-Seq
- GSM7574584 KP_TdgKO3 stranded RNA-Seq
- GSE236720 Synthetic essentiality of thymine DNA glycosylase in p53-deficient cancer [RNA-seq] 26 samples shares p53-deficient, essentiality, glycosylase, synthetic, thymine, rna-seq
- GSE236727 Synthetic essentiality of thymine DNA glycosylase in p53-deficient cancer [scRNA-seq] 2 samples shares p53-deficient, essentiality, glycosylase, synthetic, thymine, rna-seq
- GSE236718 Synthetic essentiality of thymine DNA glycosylase in p53-deficient cancer [CUT&Tag] 6 samples shares p53-deficient, essentiality, glycosylase, synthetic, thymine
- GSE236717 Synthetic essentiality of thymine DNA glycosylase in p53-deficient cancer [ATAC-seq] 5 samples shares p53-deficient, essentiality, glycosylase, synthetic, thymine
- GSE277171 A forward genetic screen identifies potassium channel essentiality in SHH medulloblastoma maintenance [RNA-seq] 70 samples shares essentiality, rna-seq
- GSE272602 DNA glycosylases Ogg1 and Mutyh mediate gene expression of PRC2 targets important for memory formation (RNA-Seq) 24 samples shares glycosylase, rna-seq
- GSE269373 Engineering Programmable Material-To-Cell Pathways Via Synthetic Notch Receptors To Spatially Control Cellular Phenotypes In Multi-Cellular Constructs [RNA-seq] 22 samples shares synthetic, rna-seq
- GSE287894 Biosynthetic plasticity enables CD8+ T cell functional resilience under nutrient stress [Atf4 & Cebpg KO RNA-seq] 18 samples shares synthetic, 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.