Evidence map›Paper›PMID 32580970›Full record

ArticleBiology open2020

STAT3 modulates reprogramming efficiency of human somatic cells; insights from autosomal dominant Hyper IgE syndrome caused by STAT3 mutations.

Zhen Yu, Natalia I Dmitrieva, Avram D Walts, Hui Jin, Yangtengyu Liu, Xianfeng Ping, Elisa A Ferrante, Lugui Qiu, Steven M Holland, Alexandra F Freeman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors at 1 institution in 1 country.

Zhen YuTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Natalia I DmitrievaTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0001-8074-6950
Avram D WaltsTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Hui JinTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0003-0297-3052
Yangtengyu LiuTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Xianfeng PingTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Elisa A FerranteTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Lugui Qiu
Steven M HollandLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.ORCID 0000-0003-3207-5464
Alexandra F FreemanLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Guibin ChenTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA boehmm@nhlbi.nih.gov chengb@nhlbi.nih.gov.ORCID 0000-0003-3169-3252
Manfred BoehmTranslational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA boehmm@nhlbi.nih.gov chengb@nhlbi.nih.gov.
National Institutes of Health · US

Funding

Vascular remodeling in patients with rare genetic disordersZIAHL006077 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BOEHM, MANFRED · 2010 to 2025
$22.9M
Transgenic Animal Models Of Human Immune DefectsZIAAI000646 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$22.2M
iPS-technology and patient specific disease modelsZIAHL006079 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BOEHM, MANFRED · 2010 to 2025
$14.4M
Murine models of vascular remodelingZIAHL006078 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BOEHM, MANFRED · 2010 to 2025
$11.4M
Primary Immune Deficiency ClinicZIAAI001247 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FREEMAN, ALEXANDRA · 2019 to 2025
$8.7M
6 · The paper itself

Abstract

Human induced pluripotent stem cell (iPSC) technology has opened exciting opportunities for stem-cell-based therapy. However, its wide adoption is precluded by several challenges including low reprogramming efficiency and potential for malignant transformation. Better understanding of the molecular mechanisms of the changes that cells undergo during reprograming is needed to improve iPSCs generation efficiency and to increase confidence for their clinical use safety. Here, we find that dominant negative mutations in STAT3 in patients with autosomal-dominant hyper IgE (Job's) syndrome (AD-HIES) result in greatly reduced reprograming efficiency of primary skin fibroblasts derived from skin biopsies. Analysis of normal skin fibroblasts revealed upregulation and phosphorylation of endogenous signal transducer and activator of transcription 3 (STAT3) and its binding to the

Indexed as

Disease SusceptibilityMutationAdolescentAdultAgedAllelesAmino Acid SubstitutionCells, CulturedChildFibroblastsGenetic Predisposition to DiseaseGenotypeHumansImmunoglobulin EInduced Pluripotent Stem CellsJob SyndromeImmunoglobulin ESTAT3 protein, humanSTAT3 Transcription FactorHyper IgE syndromeiPSCReprogrammingSTAT3

Identifiers

PMID32580970
PMCPMC7502598
OpenAlexW3037427742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.