An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (H. polygyrus RNA-Seq)
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: 4 × HP_Naive vs 4 × HP_Day4 vs 4 × HP_Day11Groups 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 GSE276827_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 PRJNA1159194 and SRA study SRP531853. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 3 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.
- GSM8506356 HP_Naive1 HP_Naive
- GSM8506357 HP_Naive2 HP_Naive
- GSM8506358 HP_Naive3 HP_Naive
- GSM8506359 HP_Naive4 HP_Naive
- GSM8506360 HP_Day4_1 HP_Day4
- GSM8506361 HP_Day4_2 HP_Day4
- GSM8506362 HP_Day4_3 HP_Day4
- GSM8506363 HP_Day4_5 HP_Day4
- GSM8506364 HP_Day11_1 HP_Day11
- GSM8506365 HP_Day11_2 HP_Day11
- GSM8506366 HP_Day11_3 HP_Day11
- GSM8506367 HP_Day11_5 HP_Day11
- GSE276826 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (G320D RNA-Seq) 18 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs, rna-seq
- 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
- 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
- GSE276823 An IL-33–LMO4 axis instructs type 2 myelopoiesis via GATA factor re-allocation (G320D ATAC-Seq) 18 samples shares il-33, lmo4, gata, re-allocation, myelopoiesis, instructs
- 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.