Evidence map›Paper›PMID 31284824›Full record

ArticleCirculation research2019

Transcriptomic Profiling of the Developing Cardiac Conduction System at Single-Cell Resolution.

William R Goodyer, Benjamin M Beyersdorf, David T Paik, Lei Tian, Guang Li, Jan W Buikema, Orlando Chirikian, Shannon Choi, Sneha Venkatraman, Eliza L Adams and 3 more

Abstract read
In one paragraph

Article in Circulation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing 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

127 citing papers in PubMed.

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  11. International journal of molecular sciences · 2026
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  17. Aging and sinus node dysfunction: mechanisms and future directions.Clinical science (London, England : 1979) · 2025
    Review
  18. Article
  19. Article
  20. Review

67 more citing papers are in PubMed but not listed here.

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

13 authors.

William R GoodyerFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Benjamin M BeyersdorfFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
David T PaikFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Lei TianFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Guang LiFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Jan W BuikemaFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Orlando ChirikianFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Shannon ChoiFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Sneha VenkatramanFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Eliza L AdamsDepartment of Biology (E.L.A., M.T.-L.), Stanford University, CA.
Marc Tessier-LavigneDepartment of Biology (E.L.A., M.T.-L.), Stanford University, CA.
Joseph C WuFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.
Sean M WuFrom the Cardiovascular Institute (W.R.G., B.M.B., D.T.P., L.T., G.L., J.W.B., O.C., S.C., S.V., J.C.W., S.M.W.), Stanford University School of Medicine, CA.

Funding

Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
VECTOR COREP30NS069375 · NINDS · STANFORD UNIVERSITY · PI STEINBERG, GARY K · 2011 to 2019
$6.3M
Human iPSCs for Elucidating Intercellular Crosstalk Signaling in Dilated CardiomyopathyR01HL141371 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$6.2M
Single Cell Sequencing of Human iPSC-CM Subtype Identity and FunctionR01HL145676 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA, Joseph C. Wu · 2019 to 2026
$5.1M
Training in Myocardial Biology at Stanford (TIMBS)T32HL094274 · NHLBI · STANFORD UNIVERSITY · PI Euan A Ashley, Daniel Bernstein · 2010 to 2026
$5.0M
Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
Enabling Technologies for Human-Machine Hybrid TissuesDP1LM012179 · NLM · STANFORD UNIVERSITY · PI WU, SEAN M · 2014 to 2018
$3.8M
Cellular and Molecular Mechanisms of Atrial Cardiomyocyte Lineage Commitment R00HL133472 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, GUANG · 2019 to 2021
$750k
Lightsheet Microscope for Large-Scale Imaging of Cleared Tissue SamplesS10OD025091 · OD · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2018 to 2018
$337k
NHLBI NIH HHS R00 HL133472NHLBI NIH HHS R01 HL141371NHLBI NIH HHS R01 HL145676NHLBI NIH HHS T32 HL094274NIBIB NIH HHS T32 EB009035NIH HHS S10 OD025091NIMH NIH HHS T32 MH020016NINDS NIH HHS P30 NS069375NLM NIH HHS DP1 LM012179
6 · The paper itself

Abstract

rationaleThe cardiac conduction system (CCS) consists of distinct components including the sinoatrial node, atrioventricular node, His bundle, bundle branches, and Purkinje fibers. Despite an essential role for the CCS in heart development and function, the CCS has remained challenging to interrogate because of inherent obstacles including small cell numbers, large cell-type heterogeneity, complex anatomy, and difficulty in isolation. Single-cell RNA-sequencing allows for genome-wide analysis of gene expression at single-cell resolution.

objectiveAssess the transcriptional landscape of the entire CCS at single-cell resolution by single-cell RNA-sequencing within the developing mouse heart. METHODS AND

resultsWild-type, embryonic day 16.5 mouse hearts (n=6 per zone) were harvested and 3 zones of microdissection were isolated, including: Zone I-sinoatrial node region; Zone II-atrioventricular node/His region; and Zone III-bundle branch/Purkinje fiber region. Tissue was digested into single-cell suspensions, cells isolated, mRNA reverse transcribed, and barcoded before high-throughput sequencing and bioinformatics analyses. Single-cell RNA-sequencing was performed on over 22 000 cells, and all major cell types of the murine heart were successfully captured including bona fide clusters of cells consistent with each major component of the CCS. Unsupervised weighted gene coexpression network analysis led to the discovery of a host of novel CCS genes, a subset of which were validated using fluorescent in situ hybridization as well as whole-mount immunolabeling with volume imaging (iDISCO+) in 3 dimensions on intact mouse hearts. Further, subcluster analysis unveiled isolation of distinct CCS cell subtypes, including the clinically relevant but poorly characterized transitional cells that bridge the CCS and surrounding myocardium.

conclusionsOur study represents the first comprehensive assessment of the transcriptional profiles from the entire CCS at single-cell resolution and provides a characterization in the context of development and disease.

Indexed as

TranscriptomeAnimalsHeart Conduction SystemMiceRNA-SeqSingle-Cell Analysisbioinformaticscardiac conduction systemsingle-cell RNA-sequencing

Identifiers

PMID31284824
PMCPMC6675655

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