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The Position Beta57 of IAg7 Controls the Early Anti-Insulin Response and Onset of Diabetes in NOD mice to Link MHC and Disease [RT-PCR]

GSE134440 Mus musculus (mouse) Gene expression profiling 1829 samples Submitted 2019/07/18 Platform GPL26927
At a glance

Gene expression profiling · mouse · 1829 samples

What it is
Gene expression profilingGene activity measured per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
1829 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Abstract- The class II region of the Major Histocompatibility locus is the main contributor to the genetic susceptibility to type 1 diabetes (T1D). The loss of an aspartic acid at position 57 of diabetogenic HLA-DQ8 chains supports this association; it influences the recognition of peptides in the context of HLA-DQ8, and I-Ag7 using a mechanism termed the P9 switch.
Read the full summary ↓
Here, we built register-specific insulin MHC tetramers, Ins12-20 and Ins13-21, to examine anti-insulin CD4 T cell responses during the early pre-diabetic phase of disease in mice. A single cell gene expression analysis and single cell T cell receptor (TCR) sequencing of anti-insulin CD4 T cells performed in 6 and 12-week-old NOD mice, revealed tissue-specific gene expression signatures. TCR signaling and clonal expansion were found only in the islets of Langerhans. and produced either classical Th1 differentiation or an unusual Treg phenotype, independent of TCR usage. The early phase of the anti-insulin response was dominated by cells specific for Ins12-20, the register that supports a P9 switch mode of recognition. The presence of the switch was demonstrated by TCR sequencing, re-expression, mutagenesis, and functional testing of alpha/beta TCR pairs in vitro. The genetic correction of the beta57 mutation resulted in the disappearance of D/E residues in the CDR3beta of anti-Ins12-20 T cells, and inability of cells normally activated by a switch to recognize the Ins9-23 peptide. These results provide the first molecular mechanistic explanation that links the unique MHC class II polymorphism of T1D with the recognition of islet antigens and disease onset.
This dataset
Download · which file do I need?

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 (GSE134440_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA555422. Searching any of these in the dataset finder brings you back here.

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