Evidence map›Paper›PMID 37214814›Full record

ArticlebioRxiv : the preprint server for biology2023

CRISPRi Gene Modulation and All-Optical Electrophysiology in Post-Differentiated Human iPSC-Cardiomyocytes.

Julie L Han, Yuli W Heinson, Christianne J Chua, Wei Liu, Emilia Entcheva

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Julie L HanDepartment of Biomedical Engineering, The George Washington University, Washington DC 20052, USA.
Yuli W HeinsonDepartment of Biomedical Engineering, The George Washington University, Washington DC 20052, USA.
Christianne J ChuaDepartment of Biomedical Engineering, The George Washington University, Washington DC 20052, USA.
Wei LiuDepartment of Biomedical Engineering, The George Washington University, Washington DC 20052, USA.
Emilia EntchevaDepartment of Biomedical Engineering, The George Washington University, Washington DC 20052, USA.

Funding

Scalable platform for optimizing human cardiac tissue engineering via optical pacing and on-demand oxygenationR01HL144157 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI ENTCHEVA, EMILIA, KAY, MATTHEW W. · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL144157
6 · The paper itself

Abstract

Uncovering gene-phenotype relationships can be enabled by precise gene modulation in human induced pluripotent stem-cell-derived cardiomyocytes (iPSC-CMs) and follow up phenotyping using scalable all-optical electrophysiology platforms. Such efforts towards human functional genomics can be aided by recent CRISPR-derived technologies for reversible gene inhibition or activation (CRISPRi/a). We set out to characterize the performance of CRISPRi in post-differentiated iPSC-CMs, targeting key cardiac ion channel genes, KCNH2, KCNJ2, and GJA1, and providing a multiparametric quantification of the effects on cardiac repolarization, stability of the resting membrane potential and conduction properties using all-optical tools. More potent CRISPRi effectors, e.g. Zim3, and optimized viral delivery led to improved performance on par with the use of CRISPRi iPSC lines. Confirmed mild yet specific phenotype changes when CRISPRi is deployed in non-dividing differentiated heart cells is an important step towards more holistic pre-clinical cardiotoxicity testing and for future therapeutic use in vivo.

Indexed as

all-optical electrophysiologycardiac electrophysiologyCRISPRiGJA1ion channelsiPSC-CMsKCNH2KCNJ2optical mappingoptogenetics

Identifiers

PMID37214814
PMCPMC10197536

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.