Suppr超能文献

STAT1功能获得性杂合细胞模型揭示了不同的干扰素特征基因转录反应。

STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses.

作者信息

Scott Ori, Lindsay Kyle, Erwood Steven, Mollica Antonio, Roifman Chaim M, Cohn Ronald D, Ivakine Evgueni A

机构信息

Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.

Division of Clinical Immunology and Allergy, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

出版信息

NPJ Genom Med. 2021 May 14;6(1):34. doi: 10.1038/s41525-021-00196-7.

Abstract

Signal transducer and activator of transcription 1 (STAT1) gain-of-function (GOF) is an autosomal dominant immune disorder marked by wide infectious predisposition, autoimmunity, vascular disease, and malignancy. Its molecular hallmark, elevated phospho-STAT1 (pSTAT1) following interferon (IFN) stimulation, is seen consistently in all patients and may not fully account for the broad phenotypic spectrum associated with this disorder. While over 100 mutations have been implicated in STAT1 GOF, genotype-phenotype correlation remains limited, and current overexpression models may be of limited use in gene expression studies. We generated heterozygous mutants in diploid HAP1 cells using CRISPR/Cas9 base-editing, targeting the endogenous STAT1 gene. Our models recapitulated the molecular phenotype of elevated pSTAT1, and were used to characterize the expression of five IFN-stimulated genes under a number of conditions. At baseline, transcriptional polarization was evident among mutants compared with wild type, and this was maintained following prolonged serum starvation. This suggests a possible role for unphosphorylated STAT1 in the pathogenesis of STAT1 GOF. Following stimulation with IFNα or IFNγ, differential patterns of gene expression emerged among mutants, including both gain and loss of transcriptional function. This work highlights the importance of modeling heterozygous conditions, and in particular transcription factor-related disorders, in a manner which accurately reflects patient genotype and molecular signature. Furthermore, we propose a complex and multifactorial transcriptional profile associated with various STAT1 mutations, adding to global efforts in establishing STAT1 GOF genotype-phenotype correlation and enhancing our understanding of disease pathogenesis.

摘要

信号转导与转录激活因子1(STAT1)功能获得性(GOF)是一种常染色体显性免疫疾病,其特征为广泛的感染易感性、自身免疫性、血管疾病和恶性肿瘤。其分子标志是干扰素(IFN)刺激后磷酸化STAT1(pSTAT1)升高,在所有患者中均一致可见,且可能无法完全解释与该疾病相关的广泛表型谱。虽然超过100种突变与STAT1 GOF有关,但基因型-表型相关性仍然有限,目前的过表达模型在基因表达研究中的用途可能有限。我们使用CRISPR/Cas9碱基编辑技术在二倍体HAP1细胞中生成了杂合突变体,靶向内源性STAT1基因。我们的模型重现了pSTAT1升高的分子表型,并用于在多种条件下表征五个IFN刺激基因的表达。在基线时,与野生型相比,突变体之间转录极化明显,且在长期血清饥饿后仍保持这种状态。这表明未磷酸化的STAT1在STAT1 GOF发病机制中可能起作用。在用IFNα或IFNγ刺激后,突变体之间出现了不同的基因表达模式,包括转录功能的获得和丧失。这项工作强调了以准确反映患者基因型和分子特征的方式对杂合条件进行建模的重要性,特别是对转录因子相关疾病的建模。此外,我们提出了一种与各种STAT1突变相关的复杂多因素转录谱,为建立STAT1 GOF基因型-表型相关性及增强我们对疾病发病机制的理解的全球努力增添了内容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3618/8121859/d6cefc0060db/41525_2021_196_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验