← BioTransfer GEO Dataset Finder
GEO series

Deletion of Metal Transporter Zip14 (Slc39a14) Reduces Major Histocompatibility Complex II Expression in Murine Small Intestinal Epithelial Cells

GSE280523 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2025/01/22 Platform GPL13112
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
10 samples
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.
Paper
Deletion of metal transporter Zip14 reduces major histocompatibility complex II expression in murine small intestinal epithelial cellsProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Documented worldwide, impaired immunity is a cardinal signature resulting from loss of dietary zinc, an essential micronutrient. A steady supply of zinc to meet cellular requirements is regulated by an array of zinc transporters. Deletion of the transporter Zip14 (Slc39a14) in mice produced intestinal inflammation. Elevated fecal lipocalin-2, calprotectin, IgG levels and dysbiosis support the inflammatory phenotype.
Read the full summary ↓
Here we show through RNA-sequencing, using purified intestinal epithelial cells (IECs), that Zip14 deletion produces markedly reduced expression of major histocompatibility complex class II (MHCII) molecules and the master MHCII trans-activator (Ciita). qPCR, western analysis and immunohistochemistry confirmed loss of MHCII. Spectrofluorimetry with zinc probe FluoZin-3 showed reduced labile zinc in IECs from knockout mice. Chromatin immunoprecipitation assays, using Ciita antibody and IEC chromatin, suggest decreased transcription accounts for depressed expression of specific MHCII genes. ATAC-sequencing (ATAC-seq) demonstrated that H2-Aa, H2-Ab1 and other MHCII genes result from chromatin remodeling yielding closed chromatin at regulatory regions of these genes. In agreement, ATAC-seq showed peak density of the chromosomal regulatory region of Ciita is consistent with down regulation of specific MHCII genes in IECs with Zip14 loss. Finally, dietary zinc supplementation of knockout mice and zinc supplementation of intestinal organoids in-vitro with Zip14 deletion restored transcript levels. Taken together, our data suggest that cellular zinc delivery, via Zip14, is necessary for proper chromatin occupancy, required for normal MHCII expression and effective immune functions, and to preclude inflammatory disorders of the small intestine.
Published in
Deletion of metal transporter Zip14 reduces major histocompatibility complex II expression in murine small intestinal epithelial cells
Jimenez-Rondan FR, Ruggiero CH, Riva A et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 39793074 · doi:10.1073/pnas.2422321121
This dataset
Download · which file do I need?

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.

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, or the whole study as GSE280523_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1179338 and SRA study SRP541747. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 10 more — browse all 10 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.