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Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single-cell transcriptomics.

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Title: Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single-cell transcriptomics.
Authors: Gupta S; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA., Gee MM; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA., Newton AJH; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA., Kuttippurathu L; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA., Moss A; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA., Tompkins JD; UCLA Cardiac Arrhythmia Center and Neurocardiology Research Program of Excellence, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA., Schwaber JS; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA., Vadigepalli R; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA., Lytton WW; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.; Department of Neurology, Kings County Hospital, Brooklyn, NY, USA.
Source: The Journal of physiology [J Physiol] 2025 Mar; Vol. 603 (7), pp. 2119-2138. Date of Electronic Publication: 2025 Mar 12.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Cambridge Univ. Press Country of Publication: England NLM ID: 0266262 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-7793 (Electronic) Linking ISSN: 00223751 NLM ISO Abbreviation: J Physiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single-cell transcriptomics.
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  Data: <searchLink fieldCode="AU" term="%22Gupta+S%22">Gupta S</searchLink>; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.<br /><searchLink fieldCode="AU" term="%22Gee+MM%22">Gee MM</searchLink>; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA.<br /><searchLink fieldCode="AU" term="%22Newton+AJH%22">Newton AJH</searchLink>; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.<br /><searchLink fieldCode="AU" term="%22Kuttippurathu+L%22">Kuttippurathu L</searchLink>; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Moss+A%22">Moss A</searchLink>; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Tompkins+JD%22">Tompkins JD</searchLink>; UCLA Cardiac Arrhythmia Center and Neurocardiology Research Program of Excellence, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Schwaber+JS%22">Schwaber JS</searchLink>; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA.<br /><searchLink fieldCode="AU" term="%22Vadigepalli+R%22">Vadigepalli R</searchLink>; Daniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA.<br /><searchLink fieldCode="AU" term="%22Lytton+WW%22">Lytton WW</searchLink>; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.; Department of Neurology, Kings County Hospital, Brooklyn, NY, USA.
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  Data: <searchLink fieldCode="JN" term="%220266262%22">The Journal of physiology</searchLink> [J Physiol] 2025 Mar; Vol. 603 (7), pp. 2119-2138. <i>Date of Electronic Publication: </i>2025 Mar 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cambridge+Univ%2E+Press%22">Cambridge Univ. Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0266262 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-7793 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223751%22">00223751 </searchLink><i>NLM ISO Abbreviation: </i>J Physiol <i>Subsets: </i>MEDLINE
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        Value: 10.1113/JP287595
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              Text: 2025 Mar
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