Hypoxia-inducible factor 2α promotes protective Th2 cell responses during intestinal helminth infection [RNA-seq]
Single-cell RNA-seq · mouse · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 24 samples: 24 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.
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 GSE288269_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1216655 and SRA study SRP560482. 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 24 sample titles: 24 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.
- GSM8762575 B1_Normoxia_Th0_1_Creneg
- GSM8762576 B2_Normoxia_Th0_2_Creneg
- GSM8762577 B3_Normoxia_Th0_3_Creneg
- GSM8762578 B4_Normoxia_Th0_4_Crepos
- GSM8762579 B5_Normoxia_Th0_5_Crepos
- GSM8762580 B6_Normoxia_Th0_6_Crepos
- GSM8762581 C1_Normoxia_Th2_1_Creneg
- GSM8762582 C2_Normoxia_Th2_2_Creneg
- GSM8762583 C3_Normoxia_Th2_3_Creneg
- GSM8762584 C4_Normoxia_Th2_4_Crepos
- GSM8762585 C5_Normoxia_Th2_5_Crepos
- GSM8762586 C6_Normoxia_Th2_6_Crepos
- GSM8762587 D1_Hypoxia_Th0_1_Creneg
- GSM8762588 D2_Hypoxia_Th0_2_Creneg
- GSM8762589 D3_Hypoxia_Th0_3_Creneg
- GSM8762590 D4_Hypoxia_Th0_4_Crepos
- GSM8762591 D5_Hypoxia_Th0_5_Crepos
- GSM8762592 D6_Hypoxia_Th0_6_Crepos
- GSM8762593 E1_Hypoxia_Th2_1_Creneg
- GSM8762594 E2_Hypoxia_Th2_2_Creneg
- GSM8762595 E3_Hypoxia_Th2_3_Creneg
- GSM8762596 E4_Hypoxia_Th2_4_Crepos
- GSM8762597 E5_Hypoxia_Th2_5_Crepos
- GSM8762598 E6_Hypoxia_Th2_6_Crepos
- GSE271362 CGRP-Related Neuropeptide Adrenomedullin 2 Promotes Tissue-Protective ILC2 Responses and Limits Intestinal Inflammation 11 samples shares protective, intestinal, promotes
- GSE313732 Type I IFN Dynamics Orchestrate Protective ICAM1⁺ Neutrophil Heterogeneity as an Early Checkpoint for Survival in Lethal Viral Infection [RNA-Seq] 78 samples shares protective, rna-seq
- GSE303699 Autoimmune Disease Risk Gene ANKRD55 Promotes Th17 Effector Function Through Metabolic Modulation [RNA-Seq] 60 samples shares promotes, rna-seq
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares protective, promotes
- GSE295816 Tissue factor pathway inhibitor promotes the migration, proliferation and colonization of MSCs by regulating CXCL12/CXCR4 signaling pathway 20 samples shares promotes, factor
- GSE288348 Disease-associated astrocyte epigenetic memory promotes CNS pathology [sgEp300, sgACLY astrocytes bulk RNA-Seq dataset] 18 samples shares promotes, rna-seq
- GSE230838 Loss of cisPTase function in the liver promotes a highly penetrant form of fatty liver disease that rapidly transitions to hepatocellular carcinoma [RNA-seq] 17 samples shares promotes, rna-seq
- GSE334940 Tissue nanotransfection-mediated induction of neurogenic programs promotes myoprotective responses in denervated skeletal muscle 15 samples shares protective, promotes
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.