Spatial multi-omic map of human myocardial infarction

被引:0
|
作者
Christoph Kuppe
Ricardo O. Ramirez Flores
Zhijian Li
Sikander Hayat
Rebecca T. Levinson
Xian Liao
Monica T. Hannani
Jovan Tanevski
Florian Wünnemann
James S. Nagai
Maurice Halder
David Schumacher
Sylvia Menzel
Gideon Schäfer
Konrad Hoeft
Mingbo Cheng
Susanne Ziegler
Xiaoting Zhang
Fabian Peisker
Nadine Kaesler
Turgay Saritas
Yaoxian Xu
Astrid Kassner
Jan Gummert
Michiel Morshuis
Junedh Amrute
Rogier J. A. Veltrop
Peter Boor
Karin Klingel
Linda W. Van Laake
Aryan Vink
Remco M. Hoogenboezem
Eric M. J. Bindels
Leon Schurgers
Susanne Sattler
Denis Schapiro
Rebekka K. Schneider
Kory Lavine
Hendrik Milting
Ivan G. Costa
Julio Saez-Rodriguez
Rafael Kramann
机构
[1] RWTH Aachen University,Institute of Experimental Medicine and Systems Biology
[2] Medical Faculty,Division of Nephrology and Clinical Immunology
[3] RWTH Aachen University,Institute for Computational Biomedicine
[4] Medical Faculty,Institute for Computational Genomics
[5] Heidelberg University,Joint Research Center for Computational Biomedicine
[6] Faculty of Medicine,Department of General Internal Medicine and Psychosomatics
[7] Heidelberg University Hospital,Department of Knowledge Technologies
[8] Bioquant,Erich and Hanna Klessmann Institute for Cardiovascular Research and Development, Clinic for Thoracic and Cardiovascular Surgery
[9] Informatics for Life,Heart and Diabetes Center
[10] RWTH Aachen University,Department of Medicine
[11] Medical Faculty,Institute for Molecular Cardiovascular Research IMCAR
[12] RWTH Aachen University Hospital,Department of Biochemistry, Cardiovascular Research Institute Maastricht
[13] Heidelberg University Hospital,Department of Pathology
[14] Jožef Stefan Institute,Cardiopathology, Institute for Pathology and Neuropathology
[15] Heart and Diabetes Center NRW,Department of Cardiology, Regenerative Medicine Center and Circulatory Health Lab
[16] North Rhine-Westphalia,Department of Pathology
[17] Washington University School of Medicine,Department of Hematology
[18] RWTH Aachen University,National Heart and Lung Institute
[19] Medical Faculty,Institute of Pathology
[20] Maastricht University,Institute of Cell and Tumor Biology
[21] RWTH Aachen University,Oncode Institute
[22] University Hospital Tübingen,Department of Internal Medicine, Nephrology and Transplantation
[23] University Medical Center Utrecht,undefined
[24] University Medical Center Utrecht,undefined
[25] Utrecht University,undefined
[26] Erasmus MC Cancer Institute,undefined
[27] Imperial College London,undefined
[28] Heidelberg University Hospital,undefined
[29] RWTH Aachen University,undefined
[30] Medical Faculty,undefined
[31] Erasmus Medical Center,undefined
[32] Erasmus Medical Center,undefined
来源
Nature | 2022年 / 608卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Myocardial infarction is a leading cause of death worldwide1. Although advances have been made in acute treatment, an incomplete understanding of remodelling processes has limited the effectiveness of therapies to reduce late-stage mortality2. Here we generate an integrative high-resolution map of human cardiac remodelling after myocardial infarction using single-cell gene expression, chromatin accessibility and spatial transcriptomic profiling of multiple physiological zones at distinct time points in myocardium from patients with myocardial infarction and controls. Multi-modal data integration enabled us to evaluate cardiac cell-type compositions at increased resolution, yielding insights into changes of the cardiac transcriptome and epigenome through the identification of distinct tissue structures of injury, repair and remodelling. We identified and validated disease-specific cardiac cell states of major cell types and analysed them in their spatial context, evaluating their dependency on other cell types. Our data elucidate the molecular principles of human myocardial tissue organization, recapitulating a gradual cardiomyocyte and myeloid continuum following ischaemic injury. In sum, our study provides an integrative molecular map of human myocardial infarction, represents an essential reference for the field and paves the way for advanced mechanistic and therapeutic studies of cardiac disease.
引用
收藏
页码:766 / 777
页数:11
相关论文
共 50 条
  • [21] A multi-omic resource of mouse neutrophils
    Neff, Ellen P.
    LAB ANIMAL, 2021, 50 (09) : 239 - 239
  • [22] Multi-omic network signatures of disease
    Gibbs, David L.
    Gralinski, Lisa
    Baric, Ralph S.
    McWeeney, Shannon K.
    FRONTIERS IN GENETICS, 2014, 4
  • [23] Editorial: Multi-omic data integration
    Nardini, Christine
    Dent, Jennifer
    Tieri, Paolo
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2015, 3
  • [24] From Prevention to Disease Perturbations: A Multi-Omic Assessment of Exercise and Myocardial Infarctions
    Odenkirk, Melanie T.
    Stratton, Kelly G.
    Bramer, Lisa M.
    Webb-Robertson, Bobbie-Jo M.
    Bloodsworth, Kent J.
    Monroe, Matthew E.
    Burnum-Johnson, Kristin E.
    Baker, Erin S.
    BIOMOLECULES, 2021, 11 (01) : 1 - 16
  • [25] A multi-omic future for microbiome studies
    Jansson, Janet K.
    Baker, Erin S.
    NATURE MICROBIOLOGY, 2016, 1 (05)
  • [26] Cardiotoxicity of Chemotherapy: A Multi-OMIC Perspective
    Ma, Yan
    Grootaert, Mandy O. J.
    Sewduth, Raj N.
    JOURNAL OF XENOBIOTICS, 2025, 15 (01)
  • [27] A multi-omic resource of mouse neutrophils
    Alexandra Le Bras
    Lab Animal, 2021, 50 : 239 - 239
  • [28] MULTI-OMIC RISK PREDICTION FOR CHOLANGIOCARCINOMA
    Van Haag, Felix
    Clusmann, Jan
    Koop, Paul-Henry
    Schneider, Kai Markus
    Schneider, Carolin Victoria
    HEPATOLOGY, 2024, 80
  • [29] MOSAIC: Multi-Omic Spatial Atlas in Cancer, effect on precision oncology.
    Lehar, Joseph
    Madissoon, Elo
    Chevallier, Jerome
    Schiratti, Jean Baptiste
    Kamburov, Atanas
    Barnes, Rodrigo
    Haignere, Carla
    Joy, Anna
    Dodacki, Agne S.
    Hoffmann, Caroline
    Lastra, Silvia Lopez
    Perez, Almudena Espin
    Bayard, Quentin
    von Loga, Katharina
    Chaperon, Hubert
    Vert, Jean-Philippe
    Durand, Eric
    Soumelis, Vassili
    Wainrib, Gilles
    Clozel, Thomas
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [30] Genetic prediction of multi-omic traits
    Linda Koch
    Nature Reviews Genetics, 2023, 24 : 346 - 346