Single cell RNA-sequence reveals the transcriptional dynamics of tumor immune micrenvironment by LDHA inhibition in cancer cells
Single-cell RNA-seq · mouse · 2 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
- 2 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
- Dynamic glycolytic reprogramming effects on dendritic cells in pancreatic ductal adenocarcinomaJournal of experimental & clinical cancer research : CR · 2024
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 GSE254189_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 PRJNA1068961 and SRA study SRP485882. 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.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE293819 Monitoring systemic immune responses to checkpoint inhibition in breast cancer reveals host responses and mechanisms of resistance 142 samples shares inhibition
- GSE253444 Combining TIGIT blockade with MDSC inhibition hinders breast cancer bone metastasis by activating anti-tumor immunity 55 samples shares inhibition
- GSE322775 Coordinated immune activation following KRAS inhibition reveals molecular pathways that potentiate and limit anti-tumor immunity 47 samples shares inhibition
- GSE309517 Inhibition of the cancer stem cell immune checkpoint SOAT1 suppresses regulatory T cell functions through a trans-cellular 20(S)-Hydroxycholesterol-GPR132 pathway in mice. 45 samples shares inhibition
- GSE241629 Inhibition of Notch4 with Novel Neutralizing Antibodies Reduces Tumor Growth in Multiple Tumor Types and Targets Endothelium and Tumor Associated Macrophages in a Mouse Breast Cancer Model [RiboTag RNA-seq] 20 samples shares inhibition
- GSE268000 Anti-tumor Efficacy of HRS-4642 and Its Potential Combination with Proteasome Inhibition in KRAS G12D-mutant Cancer 12 samples shares inhibition
- GSE295974 Single-cell multi-omics reveal coordinated neoplastic and immune remodeling following KRAS inhibition 64 samples shares inhibition
- GSE314244 Inhibition of oogenic JNK prevents primary ovarian insufficiency and infertility induced by DNA-damaging anti-cancer agents 61 samples shares inhibition
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.