Mapping the developing human cardiac endothelium at single-cell resolution identifies MECOM as a regulator of arteriovenous gene expression

被引:26
|
作者
McCracken, Ian R. [1 ,2 ]
Dobie, Ross [3 ]
Bennett, Matthew [1 ]
Passi, Rainha [1 ]
Beqqali, Abdelaziz [1 ]
Henderson, Neil C. [3 ,4 ]
Mountford, Joanne C. [5 ]
Riley, Paul R. [2 ]
Ponting, Chris P. [4 ]
Smart, Nicola [2 ]
Brittan, Mairi [1 ]
Baker, Andrew H. [1 ,6 ]
机构
[1] Univ Edinburgh, Ctr Cardiovasc Sci, Edinburgh EH16 4TJ, Midlothian, Scotland
[2] Univ Oxford, Dept Physiol Anat & Genet, Oxford OX1 3PT, England
[3] Univ Edinburgh, Ctr Inflammat Res, Edinburgh EH16 4TJ, Midlothian, Scotland
[4] Univ Edinburgh, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh EH4 2XU, Midlothian, Scotland
[5] Scottish Natl Blood Transfus Serv, Edinburgh EH14 4BE, Midlothian, Scotland
[6] Maastricht Univ, Cardiovasc Res Inst Maastricht CARIM, Med Ctr, NL-6229 HX Maastricht, Netherlands
基金
英国惠康基金; 欧洲研究理事会; 英国医学研究理事会;
关键词
Human cardiac development; Single-cell RNA sequencing; Endothelial heterogeneity; Coronary vasculature formation; MECOM; Vascular regeneration; RNA-SEQ DATA; CORONARY VASCULATURE; PROGENITOR CELLS; HEART; ATLAS; DIFFERENTIATION; SPECIFICATION; ANGIOGENESIS; CONTRIBUTES; ARTERIAL;
D O I
10.1093/cvr/cvac023
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims Coronary vasculature formation is a critical event during cardiac development, essential for heart function throughout perinatal and adult life. However, current understanding of coronary vascular development has largely been derived from transgenic mouse models. The aim of this study was to characterize the transcriptome of the human foetal cardiac endothelium using single-cell RNA sequencing (scRNA-seq) to provide critical new insights into the cellular heterogeneity and transcriptional dynamics that underpin endothelial specification within the vasculature of the developing heart. Methods and results We acquired scRNA-seq data of over 10 000 foetal cardiac endothelial cells (ECs), revealing divergent EC subtypes including endocardial, capillary, venous, arterial, and lymphatic populations. Gene regulatory network analyses predicted roles for SMAD1 and MECOM in determining the identity of capillary and arterial populations, respectively. Trajectory inference analysis suggested an endocardial contribution to the coronary vasculature and subsequent arterialization of capillary endothelium accompanied by increasing MECOM expression. Comparative analysis of equivalent data from murine cardiac development demonstrated that transcriptional signatures defining endothelial subpopulations are largely conserved between human and mouse. Comprehensive characterization of the transcriptional response to MECOM knockdown in human embryonic stem cell-derived EC (hESC-EC) demonstrated an increase in the expression of non-arterial markers, including those enriched in venous EC. Conclusions scRNA-seq of the human foetal cardiac endothelium identified distinct EC populations. A predicted endocardial contribution to the developing coronary vasculature was identified, as well as subsequent arterial specification of capillary EC. Loss of MECOM in hESC-EC increased expression of non-arterial markers, suggesting a role in maintaining arterial EC identity.
引用
收藏
页码:2960 / 2972
页数:13
相关论文
共 50 条
  • [41] Sex-biased gene expression at single-cell resolution: cause and consequence of sexual dimorphism
    Darolti, Iulia
    Mank, Judith E.
    EVOLUTION LETTERS, 2023, 7 (03) : 145 - 156
  • [42] Joint profiling of gene expression and chromatin accessibility during amphioxus development at single-cell resolution
    Ma, Pengcheng
    Liu, Xingyan
    Xu, Zaoxu
    Liu, Huimin
    Ding, Xiangning
    Huang, Zhen
    Shi, Chenggang
    Liang, Langchao
    Xu, Luohao
    Li, Xiaolu
    Li, Guimei
    He, Yuqi
    Ding, Zhaoli
    Chai, Chaochao
    Wang, Haoyu
    Qiu, Jiaying
    Zhu, Jiacheng
    Wang, Xiaoling
    Ding, Peiwen
    Zhou, Si
    Yuan, Yuting
    Wu, Wendi
    Wan, Cen
    Yan, Yanan
    Zhou, Yitao
    Zhou, Qi-Jun
    Wang, Guo-Dong
    Zhang, Qiujin
    Xu, Xun
    Li, Guang
    Zhang, Shihua
    Mao, Bingyu
    Chen, Dongsheng
    CELL REPORTS, 2022, 39 (12):
  • [43] Systematic investigation of imprinted gene expression and enrichment in the mouse brain explored at single-cell resolution
    Higgs, M. J.
    Hill, M. J.
    John, R. M.
    Isles, A. R.
    BMC GENOMICS, 2022, 23 (01)
  • [44] Single Cell Gene Expression Analysis and 3-D Mapping of Cardiac Ganglia
    Achanta, Sirisha
    Gorky, Jonathan
    Cahill, Laura
    Robbins, Shaina
    Schwaber, James
    Vadigepalli, Rajanikanth
    FASEB JOURNAL, 2018, 32 (01):
  • [45] A high-throughput single-cell RNA expression profiling method identifies human pericyte markers
    Sziraki, Andras
    Zhong, Yu
    Neltner, Allison M.
    Niedowicz, Dana M.
    Rogers, Colin B.
    Wilcock, Donna M.
    Nehra, Geetika
    Neltner, Janna H.
    Smith, Rebecca R.
    Hartz, Anika M.
    Cao, Junyue
    Nelson, Peter T.
    NEUROPATHOLOGY AND APPLIED NEUROBIOLOGY, 2023, 49 (06)
  • [46] Spatial mapping of human hematopoiesis at single-cell resolution reveals aging-associated topographic remodeling
    Sarachakov, Aleksandr
    Varlamova, Arina
    Svekolkin, Viktor
    Polyakova, Margarita
    Valencia, Itzel
    Unkenholz, Caitlin
    Pannellini, Tania
    Galkin, Ilia
    Ovcharov, Pavel
    Tabakov, Dmitrii
    Postovalova, Ekaterina
    Shin, Nara
    Sethi, Isha
    Bagaev, Alexander
    Itkin, Tomer
    Crane, Genevieve
    Kluk, Michael
    Geyer, Julia
    Inghirami, Giorgio
    Patel, Sanjay
    BLOOD, 2023, 142 (26) : 2282 - 2295
  • [47] Spatial Gene Expression at Single Cell Resolution in Mouse and Postmortem Human Brain
    Maynard, Kristen
    Tippani, Madhavi
    Takahashi, Yoichiro
    Besich, Zach
    Weinberger, Daniel
    Hyde, Thomas
    Martinowich, Keri
    Jaffe, Andrew
    NEUROPSYCHOPHARMACOLOGY, 2019, 44 (SUPPL 1) : 181 - 182
  • [48] Human prefrontal cortex gene regulatory dynamics from gestation to adulthood at single-cell resolution
    Herring, Charles A.
    Simmons, Rebecca K.
    Freytag, Saskia
    Poppe, Daniel
    Moffet, Joel J. D.
    Pflueger, Jahnvi
    Buckberry, Sam
    Vargas-Landin, Dulce B.
    Clement, Olivier
    Echeverria, Enrique Goni
    Sutton, Gavin J.
    Alvarez-Franco, Alba
    Hou, Rui
    Pflueger, Christian
    McDonald, Kerrie
    Polo, Jose M.
    Forrest, Alistair R. R.
    Nowak, Anna K.
    Voineagu, Irina
    Martelotto, Luciano
    Lister, Ryan
    CELL, 2022, 185 (23) : 4428 - +
  • [49] Single-Cell RNA Sequencing Identifies Candidate Renal Resident Macrophage Gene Expression Signatures across Species
    Zimmerman, Kurt A.
    Bentley, Melissa R.
    Lever, Jeremie M.
    Li, Zhang
    Crossman, David K.
    Song, Cheng Jack
    Liu, Shanrun
    Crowley, Michael R.
    George, James F.
    Mrug, Michel
    Yoder, Bradley K.
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2019, 30 (05): : 767 - 781
  • [50] Single-Cell Genomic Analysis Identifies Prognostically Significant Gene Expression Programs in Infant Acute Lymphoblastic Leukemia
    Pushel, Irina
    Farooqi, Midhat S.
    Yoo, Byunggil
    Louiselle, Daniel
    Pastinen, Tomi
    Brown, Patrick A.
    Guest, Erin
    BLOOD, 2021, 138