Evidence map›Paper›PMID 37019277›Full record

ArticleJournal of molecular and cellular cardiology2023

CRaTER enrichment for on-target gene editing enables generation of variant libraries in hiPSCs.

Clayton E Friedman, Shawn Fayer, Sriram Pendyala, Wei-Ming Chien, Alexander Loiben, Linda Tran, Leslie S Chao, Ashley Mckinstry, Dania Ahmed, Elaheh Karbassi and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Multiplexed Functional Assessments ofCirculation. Genomic and precision medicine · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Clayton E FriedmanInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Shawn FayerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Sriram PendyalaDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Wei-Ming ChienInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA; Cardiology/Hospital Specialty Medicine, VA Puget Sound HCS, Seattle, WA 98108, USA.
Alexander LoibenInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Linda TranInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Leslie S ChaoInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Ashley MckinstryInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Dania AhmedInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA.
Elaheh KarbassiInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98109, USA.
Aidan M FenixInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98109, USA.
Charles E MurryInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98109, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA.
Kai-Chun YangInstitute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA; Cardiology/Hospital Specialty Medicine, VA Puget Sound HCS, Seattle, WA 98108, USA. Electronic address: kcyang@uw.edu.
University of Washington · USBrotman Baty Institute · USVA Puget Sound Health Care System · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Metabolic and Transcriptional Reprogramming of Cardiac MaturationR01HL148081 · NHLBI · UNIVERSITY OF WASHINGTON · PI MURRY, CHARLES E · 2021 to 2024
$2.5M
Dissecting the mechanisms of how MYH7 S2 mutations lead to genetic hypertrophic cardiomyopathyF32HL164108 · NHLBI · UNIVERSITY OF WASHINGTON · PI LOIBEN, ALEXANDER · 2022 to 2024
$213k
Investigating Mechanisms of RBM20 Liquid-liquid Phase Separation Driving Cardiomyocyte Physiology and Dilated CardiomyopathyF32HL156361 · NHLBI · UNIVERSITY OF WASHINGTON · PI FENIX, AIDAN MANDY · 2021 to 2023
$147k
Identification of Novel Transcriptional Regulators of Stem Cell Derived Cardiomyocyte MaturationF32HL150932 · NHLBI · UNIVERSITY OF WASHINGTON · PI KARBASSI, ELAHEH · 2020 to 2021
$138k
Dissecting the mechanism of how dominant negative MYH7 mutations lead to genetic cardiomyopathiesIK2BX004642 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI YANG, KAI-CHUN DANIEL · 2020 to 2024
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BLRD VA IK2 BX004642NHGRI NIH HHS RM1 HG010461NHGRI NIH HHS T32 HG000035NHLBI NIH HHS F32 HL150932NHLBI NIH HHS F32 HL156361NHLBI NIH HHS F32 HL164108NHLBI NIH HHS R01 HL148081NIDDK NIH HHS P30 DK017047NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

Standard transgenic cell line generation requires screening 100-1000s of colonies to isolate correctly edited cells. We describe CRISPRa On-Target Editing Retrieval (CRaTER) which enriches for cells with on-target knock-in of a cDNA-fluorescent reporter transgene by transient activation of the targeted locus followed by flow sorting to recover edited cells. We show CRaTER recovers rare cells with heterozygous, biallelic-editing of the transcriptionally-inactive MYH7 locus in human induced pluripotent stem cells (hiPSCs), enriching on average 25-fold compared to standard antibiotic selection. We leveraged CRaTER to enrich for heterozygous knock-in of a library of variants in MYH7, a gene in which missense mutations cause cardiomyopathies, and recovered hiPSCs with 113 different variants. We differentiated these hiPSCs to cardiomyocytes and show MHC-β fusion proteins can localize as expected. Additionally, single-cell contractility analyses revealed cardiomyocytes with a pathogenic, hypertrophic cardiomyopathy-associated MYH7 variant exhibit salient HCM physiology relative to isogenic controls. Thus, CRaTER substantially reduces screening required for isolation of gene-edited cells, enabling generation of functional transgenic cell lines at unprecedented scale.

Indexed as

CardiomyopathiesCardiomyopathy, HypertrophicInduced Pluripotent Stem CellsCell LineGene EditingHumansMutationCardiomyocytesDisease modellingGene editingHuman induced pluripotent stem cellsHypertrophic cardiomyopathyMYH7

Identifiers

PMID37019277
PMCPMC10208587
OpenAlexW4362588864

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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.