KRAS inhibition is an effective therapy for appendiceal adenocarcinoma
Single-cell RNA-seq · human · 22 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
- 22 samples: 22 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 GSE336609_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 PRJNA1482087 and SRA study SRP712647. 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 22 sample titles: 22 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.
- GSM9838786 Extracted Human reads from AAP01 PDX Model treated with MRTX1133 (Replicate 1)
- GSM9838787 Extracted Human reads from AAP01 PDX Model treated with MRTX1133 (Replicate 2)
- GSM9838788 Extracted Human reads from AAP01 PDX Model treated with MRTX1133 (Replicate 3)
- GSM9838789 Extracted Human reads from AAP01 PDX Model treated with Vehicle control (Replicate 1)
- GSM9838790 Extracted Human reads from AAP01 PDX Model treated with Vehicle control (Replicate 2)
- GSM9838791 Extracted Human reads from AAP01 PDX Model treated with Vehicle control (Replicate 3)
- GSM9838792 Extracted Mouse reads from AAP01 PDX Model treated with MRTX1133 (Replicate 1)
- GSM9838793 Extracted Mouse reads from AAP01 PDX Model treated with MRTX1133 (Replicate 2)
- GSM9838794 Extracted Mouse reads from AAP01 PDX Model treated with MRTX1133 (Replicate 3)
- GSM9838795 Extracted Mouse reads from AAP01 PDX Model treated with Vehicle control (Replicate 1)
- GSM9838796 Extracted Mouse reads from AAP01 PDX Model treated with Vehicle control (Replicate 2)
- GSM9838797 Extracted Mouse reads from AAP01 PDX Model treated with Vehicle control (Replicate 3)
- GSM9838798 Extracted Human reads from AAP16 PDX Model treated with RMC-6236 (Replicate 1)
- GSM9838799 Extracted Human reads from AAP16 PDX Model treated with RMC-6236 (Replicate 2)
- GSM9838800 Extracted Human reads from AAP16 PDX Model treated with Vehicle control (Replicate 1)
- GSM9838801 Extracted Human reads from AAP16 PDX Model treated with Vehicle control (Replicate 2)
- GSM9838802 Extracted Human reads from AAP16 PDX Model treated with Vehicle control (Replicate 3)
- GSM9838803 Extracted Mouse reads from AAP16 PDX Model treated with RMC-6236 (Replicate 1)
- GSM9838804 Extracted Mouse reads from AAP16 PDX Model treated with RMC-6236 (Replicate 2)
- GSM9838805 Extracted Mouse reads from AAP16 PDX Model treated with Vehicle control (Replicate 1)
- GSM9838806 Extracted Mouse reads from AAP16 PDX Model treated with Vehicle control (Replicate 2)
- GSM9838807 Extracted Mouse reads from AAP16 PDX Model treated with Vehicle control (Replicate 3)
- GSE294216 Resistance to the KRASG12D Inhibitor MRTX1133 is Associated with Aberrant Histone Acetylation and Increased Sensitivity to BET Inhibition 36 samples shares kras, inhibition
- GSE294827 A plastic EMP1⁺ to LGR5⁺ cell state conversion as a therapeutic bypass to KRAS-G12D inhibition in metastatic colorectal cancer 81 samples shares kras, inhibition
- GSE294572 HNF4a controls growth, identity and response to KRAS inhibition in IMA [ChIP- seq] 38 samples shares kras, inhibition
- GSE235246 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma impair CD8+ T cell activation and responsiveness to immunotherapy in mice 38 samples shares adenocarcinoma, therapy
- GSE266364 Immunogenic cell death inducer cEmsy boosted cancer immunotherapy in lung adenocarcinoma 33 samples shares adenocarcinoma, therapy
- GSE280356 Inhibition of the chemokine receptors CXCR1 and CXCR2 synergizes with docetaxel for effective tumor control and remodeling of the immune microenvironment of HPV-negative head and neck cancer models 26 samples shares inhibition, effective
- GSE235233 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [Cultured_Human_Mouse] 16 samples shares adenocarcinoma, therapy
- GSE298580 Dual inhibition of FACT and RRM2 suppresses the progression of pancreatic ductal adenocarcinoma driven by the oncohistone H2BG53D 64 samples shares adenocarcinoma, 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.