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信号转导和转录激活因子1(STAT1)及干扰素调节因子1(IRF1)增强子的特性以及单核苷酸多态性(SNP)的影响

Properties of STAT1 and IRF1 enhancers and the influence of SNPs.

作者信息

Abou El Hassan Mohamed, Huang Katherine, Eswara Manoja B K, Xu Zhaodong, Yu Tao, Aubry Arthur, Ni Zuyao, Livne-Bar Izzy, Sangwan Monika, Ahmad Mohamad, Bremner Rod

机构信息

Lunenfeld Tanenbaum Research Institute, Mt Sinai Hospital, Toronto, ON, Canada.

Clinical Chemistry Division, Provincial Laboratory Services, Queen Elizabeth Hospital, Charlottetown, PE, Canada.

出版信息

BMC Mol Biol. 2017 Mar 9;18(1):6. doi: 10.1186/s12867-017-0084-1.

Abstract

BACKGROUND

STAT1 and IRF1 collaborate to induce interferon-γ (IFNγ) stimulated genes (ISGs), but the extent to which they act alone or together is unclear. The effect of single nucleotide polymorphisms (SNPs) on in vivo binding is also largely unknown.

RESULTS

We show that IRF1 binds at proximal or distant ISG sites twice as often as STAT1, increasing to sixfold at the MHC class I locus. STAT1 almost always bound with IRF1, while most IRF1 binding events were isolated. Dual binding sites at remote or proximal enhancers distinguished ISGs that were responsive to IFNγ versus cell-specific resistant ISGs, which showed fewer and mainly single binding events. Surprisingly, inducibility in one cell type predicted ISG-responsiveness in other cells. Several dbSNPs overlapped with STAT1 and IRF1 binding motifs, and we developed methodology to rapidly assess their effects. We show that in silico prediction of SNP effects accurately reflects altered binding both in vitro and in vivo.

CONCLUSIONS

These data reveal broad cooperation between STAT1 and IRF1, explain cell type specific differences in ISG-responsiveness, and identify genetic variants that may participate in the pathogenesis of immune disorders.

摘要

背景

信号转导和转录激活因子1(STAT1)与干扰素调节因子1(IRF1)共同作用诱导γ干扰素(IFNγ)刺激基因(ISG),但它们单独或共同发挥作用的程度尚不清楚。单核苷酸多态性(SNP)对体内结合的影响也大多未知。

结果

我们发现,IRF1在近端或远端ISG位点的结合频率是STAT1的两倍,在MHC I类基因座处增加到六倍。STAT1几乎总是与IRF1结合,而大多数IRF1结合事件是孤立的。远端或近端增强子处的双重结合位点区分了对IFNγ有反应的ISG与细胞特异性抗性ISG,后者显示较少且主要是单一结合事件。令人惊讶的是,一种细胞类型中的诱导性可预测其他细胞中的ISG反应性。几个数据库单核苷酸多态性(dbSNP)与STAT1和IRF1结合基序重叠,我们开发了快速评估其影响的方法。我们表明,SNP效应的计算机预测准确反映了体外和体内结合的改变。

结论

这些数据揭示了STAT1和IRF1之间广泛的合作,解释了ISG反应性的细胞类型特异性差异,并确定了可能参与免疫疾病发病机制的遗传变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93e8/5343312/f816abd8429d/12867_2017_84_Fig1_HTML.jpg

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