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Shuai, X.

Publications and source records attributed to Shuai, X..

2 recordsLinked to original sources

An additional site mutation in MITA/STING gain-of-function mutants abolishes the autoimmune SAVI phenotypes and directs a therapeutic strategy.

STING-associated vasculopathy with onset in infancy (SAVI) is an autoimmune disease caused by gain-of-function mutations (GOFs) of MITA/STING and the most frequent GOFs for SAVI are MITAN154S and MITAV155M. However, how MITA GOFs are spontaneously activated remains incompletely understood. Here, we show that the activity of MITA hinge-region GOFs is compromised by an additional mutation at Lys150 and that the SAVI phenotypes of MITAN153S/WT mice are completely abolished in the MITAK150N/N153S (MITANS/NS) mice. Mechanistically, MITA GOFs constitutively associate with iRhom2 for the spontaneous ER-to-Golgi translocation, which is substantially inhibited by the introduction of a mutation at Lys150. Interestingly, cGAMP binds to MITANS, triggers the ER-to-Golgi translocation of MITANS as well as the MITANS-iRhom2 interaction, and induces the expression of downstream genes in MitaNS/NS cells similarly as in Mita+/+ cells. Consistently, structural studies demonstrate an inactive open conformation of apo-MITANS characterized by connector region crossover and a curved filament of cGAMP-bound MITANS characterized by parallel connector regions, similar to those observed in wild-type MITA. Furthermore, we design a SAVI-inhibitory peptide (SIP) that selectively inhibits the interaction between MITAN153S and iRhom2 and the activity of MITA GOFs and thereby abolishes the SAVI phenotypes of the MITAN153S/WT[->]WT chimeric mice. These findings reveal a previously uncharacterized mechanism for the spontaneous activation of MITA GOFs and highlight a potential therapeutic intervention for SAVI.

immunology↗

A comprehensive analysis of single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer

Intestinal-type gastric cancer is preceded by premalignant lesions including chronic atrophic gastritis (CAG) and intestinal metaplasia (IM), which are characterized as changes in cell types. In this study, for the first time, we systematically constructed a single-cell atlas for a total of 31,164 high-quality cells from gastric mucosa biopsies of patients spanning a cascade of gastric premalignant lesions and early gastric cancer (EGC) using single-cell RNA sequencing (scRNA-seq). Based on the atlas, we construct a network underlying the changes of cellular and molecular characteristics of gastric epithelial cells across different lesions. We found the conversion of gland mucous cells (GMCs) toward a more intestinal-like stem cell phenotype during metaplasia, and identified OR51E1 as a novel marker for early-malignant enteroendocrine cells. We also found that HES6 might mark a goblet cell subset that precede morphologically identifiable goblet cells in IM mucosa, potentially aiding the identification of metaplasia at the early stage. Finally, we identified a panel of EGC-related specific signature, with clinical implications for the precise diagnosis of EGC. Our study offers unparalleled insights into the human gastric cellulome in premalignant and early-malignant lesions and provides an important data resource that will facilitate studies in gastritis-induced tumourigenesis and gastric cell biology.\n\nSignificance StatementUnderstanding cellular characteristics in gastric premalignant and malignant lesions would help us better understand the gastric cancer (GC) pathogenesis. In this paper, for the first time, we systematically constructed a single-cell transcriptome network of human premalignant gastric mucosa and early GC (EGC) and derived novel findings from it. We identified OR51E1 as a novel marker for early-malignant enteroendocrine cells and a panel of genes as the EGC-specific signature, with clinical implications for the precise diagnosis of EGC. We also found HES6 might mark a goblet cell subset that precede morphologically identifiable goblet cells in IM mucosa, potentially aiding the identification of metaplasia at the early stage. Our study provided an unprecedented data resource that will facilitate studies underlying gastritis-induced tumorigenesis.

bioinformatics↗