Evidence map›Paper›PMID 33990617›Full record

ArticleNPJ genomic medicine2021

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

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

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  8. Human inborn errors of immunity underlyingFrontiers in immunology · 2025
    Article
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  10. Review
  11. Review
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  15. Article
  16. Systems Immunology Analyses ofImmunoHorizons · 2022
    Article
  17. CRISPR/Cas therapeutic strategies for autosomal dominant disorders.The Journal of clinical investigation · 2022
    Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ori ScottGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada. ori.scott@sickkids.ca.ORCID http://orcid.org/0000-0002-3470-5725
Kyle LindsayGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Steven ErwoodGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Antonio MollicaGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Chaim M RoifmanDivision of Clinical Immunology and Allergy, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Ronald D CohnGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Evgueni A IvakineGenetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada. zhenya.ivakine@sickkids.ca.ORCID http://orcid.org/0000-0003-2132-4699
University of Toronto · CAHospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID33990617
PMCPMC8121859
OpenAlexW3160760496

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.