Inflammatory immune modulators of AML lung infiltration and respiratory failure
RNA-seq (gene expression) · mouse · 56 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
- 56 samples: 56 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.
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 GSE269045_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 PRJNA1120006 and SRA study SRP511646. 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 56 sample titles: 56 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.
- GSM8305418 Reference AML sample, CRISPR
- GSM8305419 Lung_AML1_CRISPR
- GSM8305420 Lung_AML2_CRISPR
- GSM8305421 Lung_AML3_CRISPR
- GSM8305422 AML_Culture1, RNA-seq
- GSM8305423 AML_Culture2, RNA-seq
- GSM8305424 AML_Culture3, RNA-seq
- GSM8305425 AML_BM1, RNA-seq
- GSM8305426 AML_BM2, RNA-seq
- GSM8305427 AML_BM3, RNA-seq
- GSM8305428 AML_Lung1, RNA-seq
- GSM8305429 AML_Lung2, RNA-seq
- GSM8305430 AML_Lung3, RNA-seq
- GSM8305431 Vecad_BM_Ctrl1, RNA-seq
- GSM8305432 Vecad_BM_Ctrl2, RNA-seq
- GSM8305433 Vecad_BM_Ctrl3, RNA-seq
- GSM8305434 Vecad_BM_AML1, RNA-seq
- GSM8305435 Vecad_BM_AML2, RNA-seq
- GSM8305436 Vecad_BM_AML3, RNA-seq
- GSM8305437 Vecad_Lung_Ctrl1, RNA-seq
- GSM8305438 Vecad_Lung_Ctrl2, RNA-seq
- GSM8305439 Vecad_Lung_Ctrl3, RNA-seq
- GSM8305440 Vecad_Lung_AML1, RNA-seq
- GSM8305441 Vecad_Lung_AML2, RNA-seq
- GSM8305442 Vecad_Lung_AML3, RNA-seq
- GSM8305443 Lung_Immune_Ctrl1, scRNAs-seq
- GSM8305444 Lung_Immune_Ctrl2, scRNAs-seq
- GSM8305445 Lung_Immune_Ctrl3, scRNAs-seq
- GSM8305446 Lung_Immune_AML1, scRNA-seq
- GSM8305447 Lung_Immune_AML2, scRNA-seq
- GSM8305448 Lung_Immune_AML3, scRNA-seq
- GSM8305449 Lung_Niche_Ctrl1, scRNAseq
- GSM8305450 Lung_Niche_Ctrl2, scRNAseq
- GSM8305451 Lung_Niche_Ctrl3, scRNA-seq
- GSM8305452 Lung_Niche_AML1, scRNA-seq
- GSM8305453 Lung_Niche_AML2, scRNA-seq
- GSM8305454 Lung_Niche_AML3, scRNA-seq
- GSM8305455 Lung_Ctrl1, Spatial Transcriptomics
- GSM8305456 Lung_Ctrl2, Spatial Transcriptomics
- GSM8305457 Lung_AML1, Spatial Transcriptomics
+ 16 more — browse all 56 samples with per-sample file links →
- GSE249293 Nonviral CRISPR/Cas9 Mutagenesis for Streamlined Generation of Mouse Lung Cancer Models 12 samples shares aml, lung
- GSE264053 Dysregulated innate immune signaling cooperates with RUNX1 mutations to transform an MDS-like disease to AML 24 samples shares aml
- GSE202319 Mechanotransduction mediated by cyclical respiratory motion maintains lung alveolar epithelial cell fate 11 samples shares respiratory, lung
- GSE244820 Activation of alveolar epithelial ER stress by b-coronavirus infection disrupts surfactant homeostasis in mice: implications for COVID-19 respiratory failure 10 samples shares respiratory, failure
- GSE273088 Ribo-lite, a method defining paired transcriptome (RNA-seq) and translatome (Ribo-seq) at low input on AML cells from mice treated with 5+3 or vehicle and fed standard amino acids (AA) or branched chain amino acid (BCAA) free diets. 42 samples shares aml
- GSE264051 Dysregulated innate immune signaling cooperates with RUNX1 mutations to transform an MDS-like disease to AML (RNA-Seq) 12 samples shares aml
- GSE249218 Non-Canonical PRC1.1 is required for the activity of Menin-MLL1 Inhibitors in NUP98-Rearranged AML 220 samples shares aml
- GSE249215 Non-Canonical PRC1.1 is required for the activity of Menin-MLL1 Inhibitors in NUP98-Rearranged AML [ChIP-Seq] 171 samples shares aml
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.