An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (G320D RNA-Seq)
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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 GSE276826_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 PRJNA1159190 and SRA study SRP531851. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8506338 BEMP_G320D_rep1 BEMP_G320D
- GSM8506339 BEMP_G320D_rep2 BEMP_G320D
- GSM8506340 BEMP_G320D_rep3 BEMP_G320D
- GSM8506341 BEMP_WT_rep1 BEMP_WT
- GSM8506342 BEMP_WT_rep2 BEMP_WT
- GSM8506343 BEMP_WT_rep3 BEMP_WT
- GSM8506344 EMPP_G320D_rep1 EMPP_G320D
- GSM8506345 EMPP_G320D_rep2 EMPP_G320D
- GSM8506346 EMPP_G320D_rep3 EMPP_G320D
- GSM8506347 EMPP_WT_rep1 EMPP_WT
- GSM8506348 EMPP_WT_rep2 EMPP_WT
- GSM8506349 EMPP_WT_rep3 EMPP_WT
- GSM8506350 preMegE_G320D_rep1 preMegE_G320D
- GSM8506351 preMegE_G320D_rep2 preMegE_G320D
- GSM8506352 preMegE_G320D_rep3 preMegE_G320D
- GSM8506353 preMegE_WT_rep1 preMegE_WT
- GSM8506354 preMegE_WT_rep2 preMegE_WT
- GSM8506355 preMegE_WT_rep3 preMegE_WT
- GSE276823 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (G320D ATAC-Seq) 18 samples shares il-33, g320d, lmo4, gata, re-allocation, myelopoiesis, instructs
- GSE276829 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (BMT LMO4 RNA-Seq) 18 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs, rna-seq
- GSE276827 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (H. polygyrus RNA-Seq) 12 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs, rna-seq
- GSE276828 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (IL33 RNA-Seq) 6 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs, rna-seq
- GSE276825 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (BMT LMO4 ATAC-Seq) 17 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs
- GSE230597 Bulk RNA-seq of ILC2, Tconv, Th2, Treg Gata3hi and Treg Gatalo from the lungs of IL-33 treated mice 22 samples shares il-33, gata, rna-seq
- GSE268774 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [RNA-seq] 48 samples shares il-33, rna-seq
- GSE268778 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [scRNA-seq] 20 samples shares il-33, rna-seq
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.