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

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) stim...

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Autores principales: Scott, Ori, Lindsay, Kyle, Erwood, Steven, Mollica, Antonio, Roifman, Chaim M., Cohn, Ronald D., Ivakine, Evgueni A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121859/
https://www.ncbi.nlm.nih.gov/pubmed/33990617
http://dx.doi.org/10.1038/s41525-021-00196-7
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author Scott, Ori
Lindsay, Kyle
Erwood, Steven
Mollica, Antonio
Roifman, Chaim M.
Cohn, Ronald D.
Ivakine, Evgueni A.
author_facet Scott, Ori
Lindsay, Kyle
Erwood, Steven
Mollica, Antonio
Roifman, Chaim M.
Cohn, Ronald D.
Ivakine, Evgueni A.
author_sort Scott, Ori
collection PubMed
description 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.
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spelling pubmed-81218592021-05-17 STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses Scott, Ori Lindsay, Kyle Erwood, Steven Mollica, Antonio Roifman, Chaim M. Cohn, Ronald D. Ivakine, Evgueni A. NPJ Genom Med Article 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. Nature Publishing Group UK 2021-05-14 /pmc/articles/PMC8121859/ /pubmed/33990617 http://dx.doi.org/10.1038/s41525-021-00196-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Scott, Ori
Lindsay, Kyle
Erwood, Steven
Mollica, Antonio
Roifman, Chaim M.
Cohn, Ronald D.
Ivakine, Evgueni A.
STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title_full STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title_fullStr STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title_full_unstemmed STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title_short STAT1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
title_sort stat1 gain-of-function heterozygous cell models reveal diverse interferon-signature gene transcriptional responses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121859/
https://www.ncbi.nlm.nih.gov/pubmed/33990617
http://dx.doi.org/10.1038/s41525-021-00196-7
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