Psychological stress-induced ALKBH5 deficiency promotes tumour innervation and pancreatic cancer progression via extracellular vesicle transfer of m6A-modified RNAs
RNA-seq (gene expression) · mouse · 57 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
- 57 samples: 41 distinct titles, 5 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.
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 GSE241850_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 PRJNA1010331 and SRA study SRP457338. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 57 sample titles: 41 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.
- GSM7744424 KPC-cell_Alkbh5 KO_m6A-seq_Rep 1_INPUT
- GSM7744425 KPC-cell_Alkbh5 KO_m6A-seq_Rep 2_INPUT
- GSM7744426 KPC-cell_Alkbh5 KO_m6A-seq_Rep 3_INPUT
- GSM7744427 KPC-cell_SgCtrl_m6A-seq_Rep 1_INPUT
- GSM7744428 KPC-cell_SgCtrl_m6A-seq_Rep 2_INPUT
- GSM7744429 KPC-cell_SgCtrl_m6A-seq_Rep 3_INPUT
- GSM7744430 KPC-cell_NA-treatment_m6A-seq_Rep 1_INPUT
- GSM7744431 KPC-cell_NA-treatment_m6A-seq_Rep 2_INPUT
- GSM7744432 KPC-cell_NA-treatment_m6A-seq_Rep 3_INPUT
- GSM7744433 KPC-cell_Vehicle-treatment_m6A-seq_Rep 1_INPUT
- GSM7744434 KPC-cell_Vehicle-treatment_m6A-seq_Rep 2_INPUT
- GSM7744435 KPC-cell_Vehicle-treatment_m6A-seq_Rep 3_INPUT
- GSM7744436 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 1_INPUT
- GSM7744437 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 2_INPUT
- GSM7744438 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 3_INPUT
- GSM7744439 KPC-EVRNA_SgCtrl_m6A-seq_Rep 1_INPUT
- GSM7744440 KPC-EVRNA_SgCtrl_m6A-seq_Rep 2_INPUT
- GSM7744441 KPC-EVRNA_SgCtrl_m6A-seq_Rep 3_INPUT
- GSM7744442 KPC-cell_Alkbh5KO_m6A-seq_Rep 1_IP
- GSM7744443 KPC-cell_Alkbh5KO_m6A-seq_Rep 2_IP
- GSM7744444 KPC-cell_Alkbh5KO_m6A-seq_Rep 3_IP
- GSM7744445 KPC-cell_SgCtrl_m6A-seq_Rep 1_IP
- GSM7744446 KPC-cell_SgCtrl_m6A-seq_Rep 2_IP
- GSM7744447 KPC-cell_SgCtrl_m6A-seq_Rep 3_IP
- GSM7744448 KPC-cell_NA-treatment_m6A-seq_Rep 1_IP
- GSM7744449 KPC-cell_NA-treatment_m6A-seq_Rep 2_IP
- GSM7744450 KPC-cell_NA-treatment_m6A-seq_Rep 3_IP
- GSM7744451 KPC-cell_Vehicle-treatment_m6A-seq_Rep 1_IP
- GSM7744452 KPC-cell_Vehicle-treatment_m6A-seq_Rep 2_IP
- GSM7744453 KPC-cell_Vehicle-treatment_m6A-seq_Rep 3_IP
- GSM7744454 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 1_IP
- GSM7744455 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 2_IP
- GSM7744456 KPC-EVRNA_Alkbh5KO_m6A-seq_Rep 3_IP
- GSM7744457 KPC-EVRNA_SgCtrl_m6A-seq_Rep 1_IP
- GSM7744458 KPC-EVRNA_SgCtrl_m6A-seq_Rep 2_IP
- GSM7744459 KPC-EVRNA_SgCtrl_m6A-seq_Rep 3_IP
- GSM7744460 KPC-cell_Alkbh5KO_Snd1_PAR-CLIP_Rep1
- GSM7744461 KPC-cell_Alkbh5KO_Snd1_PAR-CLIP_Rep2
- GSM7744462 KPC-cell_Alkbh5KO_Snd1_PAR-CLIP_Rep3
- GSM7744463 KPC-cell_Alkbh5KO_Snd1_PAR-CLIP_Rep4
+ 17 more — browse all 57 samples with per-sample file links →
- GSE284684 Peptidylarginine deiminase 4 deficiency improves elastase-induced formation of neutrophil extracellular traps and emphysema in mouse lung 24 samples shares extracellular, deficiency
- GSE271194 Effect of genetic modification of extracellular matrix-related genes on B16F1 melanoma progression 15 samples shares extracellular, progression
- GSE253827 Psychological Stress-Induced Systemic Corticosterone Directly Sabotages Intestinal Stem Cells Activity 12 samples shares stress-induced, psychological
- GSE310777 ALKBH5 acts as a facilitator for hair follicle telogen to anagen transition 28 samples shares alkbh5
- GSE280142 ALKBH5 regulates transcriptomic changes from leptene/zygotene to pachytene/diplotene stages in spermatocytes 8 samples shares alkbh5
- GSE248449 Generalization of negative memories drives the development of psychological distress-related behaviors 36 samples shares psychological
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares extracellular
- GSE330865 Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery 120 samples shares extracellular
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.