AXL and MERTK receptor tyrosine kinases inhibition protects against pancreatic necrosis via limiting CXCL2-mediated neutrophil infiltration
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 6 × WT AP vs 6 × AMKO APGroups 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.
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 GSE191008_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA789320 and SRA study SRP350933. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM5737509 WT AP1 WT AP
- GSM5737510 WT AP2 WT AP
- GSM5737511 WT AP3 WT AP
- GSM5737512 WT AP4 WT AP
- GSM5737513 WT AP5 WT AP
- GSM5737514 WT AP6 WT AP
- GSM5737515 AMKO AP1 AMKO AP
- GSM5737516 AMKO AP2 AMKO AP
- GSM5737517 AMKO AP3 AMKO AP
- GSM5737518 AMKO AP4 AMKO AP
- GSM5737519 AMKO AP5 AMKO AP
- GSM5737520 AMKO AP6 AMKO AP
- GSE279893 Loss of aryl hydrocarbon receptor reduces pancreatic tumor growth by increasing immune cell infiltration 12 samples shares infiltration, pancreatic, receptor
- GSE284188 Loss of aryl hydrocarbon receptor reduces pancreatic tumor growth by increasing immune cell infiltration [II] 10 samples shares infiltration, pancreatic, receptor
- GSE331086 The CD49b (ITGA2) Collagen Receptor Excludes CD8+ T Cell Infiltration in Pancreatic Ductal Adenocarcinoma (PDAC) 9 samples shares infiltration, pancreatic, receptor
- GSE235623 MERTK inhibition for the treatment of tissue fibrosis [RNA-seq] 86 samples shares mertk, inhibition
- GSE318315 MERTK inhibition cooperates with immunomodulatory cyclophosphamide to induce CXCL9-positive monocyte-macrophage programming and durable anti-tumor immunity in triple negative breast cancer 6 samples shares mertk, inhibition
- GSE235624 MERTK inhibition for the treatment of tissue fibrosis 154 samples shares mertk, inhibition
- GSE234196 MERTK inhibition for the treatment of tissue fibrosis [CUT&Tag] 48 samples shares mertk, inhibition
- GSE235612 MERTK inhibition for the treatment of tissue fibrosis [ATAC-seq] 16 samples shares mertk, 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.