scRNA of the immune infiltrate of TRAMP-C1 allografts upon different androgen-deprivation therapeutic combinations
Single-cell RNA-seq · mouse · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 8 distinct titles, 2 of them repeatedGroups 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.
- Paper
- Coagulation factor X promotes resistance to androgen-deprivation therapy in prostate cancerCancer cell · 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 GSE272999_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 PRJNA1139771 and SRA study SRP521977. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 10 sample titles: 8 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.
- GSM8416737 ENZA_late
- GSM8416738 antiIL23_late
- GSM8416739 antiCXCR2_late
- GSM8416740 CTXnoENZA
- GSM8416741 UNCTX
- GSM8416742 ENZA_early
- GSM8416743 ENZA_early2
- GSM8416744 antiCXCR2_early
- GSM8416745 antiIL23_early
- GSM8416746 antiIL23_early2
- GSE223323 Enterocyte like differentiation defines metabolic gene signatures of CMS3 colorectal cancers and provides therapeutic vulnerability 148 samples shares therapeutic, different
- GSE230861 Therapeutic vaccine induced plasma cell differentiation is defective upon persistent HBsAg stimulation [bulkRNA] 33 samples shares therapeutic, different
- GSE311488 Chemotherapeutic Induction of Single-Stranded DNA Accumulation Sensitizes Triple-Negative Breast Cancer to Immunotherapy [scRNA-seq] 32 samples shares therapeutic, scrna
- GSE307774 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [scRNA-Seq] 29 samples shares therapeutic, scrna
- GSE308848 Targeting AEBP1 to mitigate pro-tumor activity of cancer-associated fibroblasts and increase therapeutic efficacy to anti-PD-1 [scRNA-Seq] 12 samples shares therapeutic, scrna
- GSE296026 Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [scRNAseq1_LPS_ABX] 12 samples shares therapeutic, scrna
- GSE249879 An epigenetic-signaling pathway interplay re-wires transcriptional program to induce therapeutic differentiation of AML 12 samples shares therapeutic, different
- GSE240036 Therapeutic potential of co-signaling receptor modulation in hepatitis B [scRNA-Seq] 10 samples shares therapeutic, scrna
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.