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Selective requirement of 3D genomic organization for the Mdm1-Il22-Ifng locus regulation in initial Th1 cell lineage specification and differentiation

GSE215178 Mus musculus (mouse) Other 10 samples Submitted 2024/05/01 Platform GPL24247
At a glance

mouse · 10 samples

Organism
Mus musculus (mouse)
Samples
10 samples: 2 × Focused-HiC_Naive_F_WT vs 2 × Focused-HiC_Naive_F_KO vs 2 × Focused-HiC_Th1_D3_F_WT vs 2 × Focused-HiC_Th1_D3_F_KOGroups 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.
Summary (written by the submitters)
Eukaryotic DNA fibers are organized into structured subunits in the nucleus, but the extent to which these 3D chromatin architectures influence cytokine expression remains unclear. Here, we investigate the role of dynamic loop formation within the topologically associating domain (TAD) in regulating the expression of two critical cytokines, interferon-gamma (IFN-) and interleukin-22 (IL-22).
Read the full summary ↓
These cytokine loci are closely located in the genome and are associated with complex enhancer landscapes, which are selectively active in type 1 and type 3 lymphocytes. Using in situ Hi-C, we demonstrate inducible TADs that insulate Ifng and Il22 enhancers during Th1 differentiation. Deleting the boundary of these TADs resulted in imbalanced Th1- and Th17-associated immunity, both in vitro and in vivo. In contrast, this boundary element was dispensable for cytokine regulation in NK cells. Our finding suggest that precise cytokine regulation relies on lineage- and developmental stage-specific interactions of 3D chromatin architectures and enhancer landscapes.
This dataset
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Direct links to NCBI, 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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE215178_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA889042. Searching any of these in the dataset finder brings you back here.

Study design
2 × Focused-HiC_Naive_F_WT vs 2 × Focused-HiC_Naive_F_KO vs 2 × Focused-HiC_Th1_D3_F_WT vs 2 × Focused-HiC_Th1_D3_F_KO

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 8 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.

Samples in this study
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