IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31388-z.html
   My bibliography  Save this article

Endothelial cell heterogeneity and microglia regulons revealed by a pig cell landscape at single-cell level

Author

Listed:
  • Fei Wang

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen
    Aarhus University
    BGI-Shenzhen)

  • Peiwen Ding

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Xue Liang

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen
    University of Copenhagen)

  • Xiangning Ding

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Camilla Blunk Brandt

    (Aarhus University
    Aarhus University Hospital)

  • Evelina Sjöstedt

    (Karolinska Institutet)

  • Jiacheng Zhu

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Saga Bolund

    (Karolinska Institutet)

  • Lijing Zhang

    (BGI-Shenzhen
    University of Chinese Academy of Sciences
    MGI, BGI-Shenzhen)

  • Laura P. M. H. Rooij

    (Center for Cancer Biology, VIB
    Leuven Cancer Institute, KU Leuven)

  • Lihua Luo

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Yanan Wei

    (BGI-Shenzhen
    Qingdao University)

  • Wandong Zhao

    (BGI-Shenzhen
    Qingdao University)

  • Zhiyuan Lv

    (BGI-Shenzhen
    Qingdao University)

  • János Haskó

    (Aarhus University)

  • Runchu Li

    (BGI-Shenzhen
    Qingdao University)

  • Qiuyu Qin

    (BGI-Shenzhen
    Qingdao University)

  • Yi Jia

    (BGI-Shenzhen
    Qingdao University)

  • Wendi Wu

    (BGI-Shenzhen
    Qingdao University)

  • Yuting Yuan

    (Binzhou Medical University)

  • Mingyi Pu

    (BGI-Shenzhen
    Qingdao University)

  • Haoyu Wang

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Aiping Wu

    (Peking Union Medical College
    Suzhou Institute of Systems Medicine)

  • Lin Xie

    (MGI, BGI-Shenzhen)

  • Ping Liu

    (MGI, BGI-Shenzhen)

  • Fang Chen

    (MGI, BGI-Shenzhen)

  • Jacqueline Herold

    (Aarhus University)

  • Joanna Kalucka

    (Aarhus University
    Aarhus University Hospital
    Aarhus University of Advanced Studies (AIAS), Aarhus University)

  • Max Karlsson

    (KTH-Royal Institute of Technology)

  • Xiuqing Zhang

    (BGI-Shenzhen
    University of Chinese Academy of Sciences)

  • Rikke Bek Helmig

    (Aarhus University Hospital)

  • Linn Fagerberg

    (KTH-Royal Institute of Technology)

  • Cecilia Lindskog

    (Genetics and Pathology, Uppsala University)

  • Fredrik Pontén

    (Genetics and Pathology, Uppsala University)

  • Mathias Uhlen

    (Karolinska Institutet
    KTH-Royal Institute of Technology)

  • Lars Bolund

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen
    Aarhus University)

  • Niels Jessen

    (Aarhus University Hospital)

  • Hui Jiang

    (MGI, BGI-Shenzhen)

  • Xun Xu

    (BGI-Shenzhen)

  • Huanming Yang

    (BGI-Shenzhen
    Chinese Academy of Sciences)

  • Peter Carmeliet

    (Aarhus University
    Center for Cancer Biology, VIB
    Leuven Cancer Institute, KU Leuven
    Khalifa University of Science and Technology)

  • Jan Mulder

    (Karolinska Institutet)

  • Dongsheng Chen

    (BGI-Shenzhen
    Peking Union Medical College
    Suzhou Institute of Systems Medicine)

  • Lin Lin

    (Aarhus University
    Aarhus University Hospital)

  • Yonglun Luo

    (Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen
    Aarhus University
    BGI-Shenzhen
    Aarhus University Hospital)

Abstract

Pigs are valuable large animal models for biomedical and genetic research, but insights into the tissue- and cell-type-specific transcriptome and heterogeneity remain limited. By leveraging single-cell RNA sequencing, we generate a multiple-organ single-cell transcriptomic map containing over 200,000 pig cells from 20 tissues/organs. We comprehensively characterize the heterogeneity of cells in tissues and identify 234 cell clusters, representing 58 major cell types. In-depth integrative analysis of endothelial cells reveals a high degree of heterogeneity. We identify several functionally distinct endothelial cell phenotypes, including an endothelial to mesenchymal transition subtype in adipose tissues. Intercellular communication analysis predicts tissue- and cell type-specific crosstalk between endothelial cells and other cell types through the VEGF, PDGF, TGF-β, and BMP pathways. Regulon analysis of single-cell transcriptome of microglia in pig and 12 other species further identifies MEF2C as an evolutionally conserved regulon in the microglia. Our work describes the landscape of single-cell transcriptomes within diverse pig organs and identifies the heterogeneity of endothelial cells and evolutionally conserved regulon in microglia.

Suggested Citation

  • Fei Wang & Peiwen Ding & Xue Liang & Xiangning Ding & Camilla Blunk Brandt & Evelina Sjöstedt & Jiacheng Zhu & Saga Bolund & Lijing Zhang & Laura P. M. H. Rooij & Lihua Luo & Yanan Wei & Wandong Zhao , 2022. "Endothelial cell heterogeneity and microglia regulons revealed by a pig cell landscape at single-cell level," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31388-z
    DOI: 10.1038/s41467-022-31388-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31388-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-31388-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fredrik Edfors & Andreas Hober & Klas Linderbäck & Gianluca Maddalo & Alireza Azimi & Åsa Sivertsson & Hanna Tegel & Sophia Hober & Cristina Al-Khalili Szigyarto & Linn Fagerberg & Kalle Feilitzen & P, 2018. "Enhanced validation of antibodies for research applications," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    2. Blue B. Lake & Song Chen & Masato Hoshi & Nongluk Plongthongkum & Diane Salamon & Amanda Knoten & Anitha Vijayan & Ramakrishna Venkatesh & Eric H. Kim & Derek Gao & Joseph Gaut & Kun Zhang & Sanjay Ja, 2019. "A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
    3. Vân Anh Huynh-Thu & Alexandre Irrthum & Louis Wehenkel & Pierre Geurts, 2010. "Inferring Regulatory Networks from Expression Data Using Tree-Based Methods," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-10, September.
    4. Elisabetta Dejana & Karen K. Hirschi & Michael Simons, 2017. "The molecular basis of endothelial cell plasticity," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
    5. Roberta Bulla & Claudio Tripodo & Damiano Rami & Guang Sheng Ling & Chiara Agostinis & Carla Guarnotta & Sonia Zorzet & Paolo Durigutto & Marina Botto & Francesco Tedesco, 2016. "C1q acts in the tumour microenvironment as a cancer-promoting factor independently of complement activation," Nature Communications, Nature, vol. 7(1), pages 1-11, April.
    6. Aleksandra Deczkowska & Orit Matcovitch-Natan & Afroditi Tsitsou-Kampeli & Sefi Ben-Hamo & Raz Dvir-Szternfeld & Amit Spinrad & Oded Singer & Eyal David & Deborah R. Winter & Lucas K. Smith & Alexande, 2017. "Mef2C restrains microglial inflammatory response and is lost in brain ageing in an IFN-I-dependent manner," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    7. Suoqin Jin & Christian F. Guerrero-Juarez & Lihua Zhang & Ivan Chang & Raul Ramos & Chen-Hsiang Kuan & Peggy Myung & Maksim V. Plikus & Qing Nie, 2021. "Inference and analysis of cell-cell communication using CellChat," Nature Communications, Nature, vol. 12(1), pages 1-20, December.
    8. Long Jin & Qianzi Tang & Silu Hu & Zhongxu Chen & Xuming Zhou & Bo Zeng & Yuhao Wang & Mengnan He & Yan Li & Lixuan Gui & Linyuan Shen & Keren Long & Jideng Ma & Xun Wang & Zhengli Chen & Yanzhi Jiang, 2021. "A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    9. Xiaoping Han & Ziming Zhou & Lijiang Fei & Huiyu Sun & Renying Wang & Yao Chen & Haide Chen & Jingjing Wang & Huanna Tang & Wenhao Ge & Yincong Zhou & Fang Ye & Mengmeng Jiang & Junqing Wu & Yanyu Xia, 2020. "Construction of a human cell landscape at single-cell level," Nature, Nature, vol. 581(7808), pages 303-309, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruihua Zhang & Qun Liu & Shanshan Pan & Yingying Zhang & Yating Qin & Xiao Du & Zengbao Yuan & Yongrui Lu & Yue Song & Mengqi Zhang & Nannan Zhang & Jie Ma & Zhe Zhang & Xiaodong Jia & Kun Wang & Shun, 2023. "A single-cell atlas of West African lungfish respiratory system reveals evolutionary adaptations to terrestrialization," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Yuyao Song & Zhichao Miao & Alvis Brazma & Irene Papatheodorou, 2023. "Benchmarking strategies for cross-species integration of single-cell RNA sequencing data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yoshiharu Muto & Eryn E. Dixon & Yasuhiro Yoshimura & Haojia Wu & Kohei Omachi & Nicolas Ledru & Parker C. Wilson & Andrew J. King & N. Eric Olson & Marvin G. Gunawan & Jay J. Kuo & Jennifer H. Cox & , 2022. "Defining cellular complexity in human autosomal dominant polycystic kidney disease by multimodal single cell analysis," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    2. Dongsheng Chen & Jian Sun & Jiacheng Zhu & Xiangning Ding & Tianming Lan & Xiran Wang & Weiying Wu & Zhihua Ou & Linnan Zhu & Peiwen Ding & Haoyu Wang & Lihua Luo & Rong Xiang & Xiaoling Wang & Jiayin, 2021. "Single cell atlas for 11 non-model mammals, reptiles and birds," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    3. Baptiste Lamarthée & Jasper Callemeyn & Yannick Van Herck & Asier Antoranz & Dany Anglicheau & Patrick Boada & Jan Ulrich Becker & Tim Debyser & Frederik De Smet & Katrien De Vusser & Maëva Eloudzeri , 2023. "Transcriptional and spatial profiling of the kidney allograft unravels a central role for FcyRIII+ innate immune cells in rejection," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    4. Lichun Ma & Sophia Heinrich & Limin Wang & Friederike L. Keggenhoff & Subreen Khatib & Marshonna Forgues & Michael Kelly & Stephen M. Hewitt & Areeba Saif & Jonathan M. Hernandez & Donna Mabry & Roman, 2022. "Multiregional single-cell dissection of tumor and immune cells reveals stable lock-and-key features in liver cancer," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    5. Qingnan Liang & Yuefan Huang & Shan He & Ken Chen, 2023. "Pathway centric analysis for single-cell RNA-seq and spatial transcriptomics data with GSDensity," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    6. Faith H. Brennan & Yang Li & Cankun Wang & Anjun Ma & Qi Guo & Yi Li & Nicole Pukos & Warren A. Campbell & Kristina G. Witcher & Zhen Guan & Kristina A. Kigerl & Jodie C. E. Hall & Jonathan P. Godbout, 2022. "Microglia coordinate cellular interactions during spinal cord repair in mice," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    7. Sandra Curras-Alonso & Juliette Soulier & Thomas Defard & Christian Weber & Sophie Heinrich & Hugo Laporte & Sophie Leboucher & Sonia Lameiras & Marie Dutreix & Vincent Favaudon & Florian Massip & Tho, 2023. "An interactive murine single-cell atlas of the lung responses to radiation injury," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Moujtaba Y. Kasmani & Paytsar Topchyan & Ashley K. Brown & Ryan J. Brown & Xiaopeng Wu & Yao Chen & Achia Khatun & Donia Alson & Yue Wu & Robert Burns & Chien-Wei Lin & Matthew R. Kudek & Jie Sun & We, 2023. "A spatial sequencing atlas of age-induced changes in the lung during influenza infection," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    9. Wei Yang & Li-Bo Liu & Feng-Liang Liu & Yan-Hua Wu & Zi-Da Zhen & Dong-Ying Fan & Zi-Yang Sheng & Zheng-Ran Song & Jia-Tong Chang & Yong-Tang Zheng & Jing An & Pei-Gang Wang, 2023. "Single-cell RNA sequencing reveals the fragility of male spermatogenic cells to Zika virus-induced complement activation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    10. Cecilia Pessoa Rodrigues & Aindrila Chatterjee & Meike Wiese & Thomas Stehle & Witold Szymanski & Maria Shvedunova & Asifa Akhtar, 2021. "Histone H4 lysine 16 acetylation controls central carbon metabolism and diet-induced obesity in mice," Nature Communications, Nature, vol. 12(1), pages 1-21, December.
    11. Xiaojian Lu & Yanwei Luo & Xichen Nie & Bailing Zhang & Xiaoyan Wang & Ran Li & Guangmin Liu & Qianyin Zhou & Zhizhong Liu & Liqing Fan & James M. Hotaling & Zhe Zhang & Hao Bo & Jingtao Guo, 2023. "Single-cell multi-omics analysis of human testicular germ cell tumor reveals its molecular features and microenvironment," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    12. Han Luo & Xuyang Xia & Li-Bin Huang & Hyunsu An & Minyuan Cao & Gyeong Dae Kim & Hai-Ning Chen & Wei-Han Zhang & Yang Shu & Xiangyu Kong & Zhixiang Ren & Pei-Heng Li & Yang Liu & Huairong Tang & Rongh, 2022. "Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    13. Anjun Ma & Xiaoying Wang & Jingxian Li & Cankun Wang & Tong Xiao & Yuntao Liu & Hao Cheng & Juexin Wang & Yang Li & Yuzhou Chang & Jinpu Li & Duolin Wang & Yuexu Jiang & Li Su & Gang Xin & Shaopeng Gu, 2023. "Single-cell biological network inference using a heterogeneous graph transformer," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    14. Jeff DeMartino & Michael T. Meister & Lindy L. Visser & Mariël Brok & Marian J. A. Groot Koerkamp & Amber K. L. Wezenaar & Laura S. Hiemcke-Jiwa & Terezinha Souza & Johannes H. M. Merks & Anne C. Rios, 2023. "Single-cell transcriptomics reveals immune suppression and cell states predictive of patient outcomes in rhabdomyosarcoma," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    15. Junjun Jing & Jifan Feng & Yuan Yuan & Tingwei Guo & Jie Lei & Fei Pei & Thach-Vu Ho & Yang Chai, 2022. "Spatiotemporal single-cell regulatory atlas reveals neural crest lineage diversification and cellular function during tooth morphogenesis," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. Marius Arend & Yizhong Yuan & M. Águila Ruiz-Sola & Nooshin Omranian & Zoran Nikoloski & Dimitris Petroutsos, 2023. "Widening the landscape of transcriptional regulation of green algal photoprotection," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    17. Ruonan Wu & Michelle R. Davison & William C. Nelson & Montana L. Smith & Mary S. Lipton & Janet K. Jansson & Ryan S. McClure & Jason E. McDermott & Kirsten S. Hofmockel, 2023. "Hi-C metagenome sequencing reveals soil phage–host interactions," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    18. Daniel Dimitrov & Dénes Türei & Martin Garrido-Rodriguez & Paul L. Burmedi & James S. Nagai & Charlotte Boys & Ricardo O. Ramirez Flores & Hyojin Kim & Bence Szalai & Ivan G. Costa & Alberto Valdeoliv, 2022. "Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    19. Nunya Chotiwan & Ebba Rosendal & Stefanie M. A. Willekens & Erin Schexnaydre & Emma Nilsson & Richard Lindqvist & Max Hahn & Ionut Sebastian Mihai & Federico Morini & Jianguo Zhang & Gregory D. Ebel &, 2023. "Type I interferon shapes brain distribution and tropism of tick-borne flavivirus," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    20. Allen W. Lynch & Myles Brown & Clifford A. Meyer, 2023. "Multi-batch single-cell comparative atlas construction by deep learning disentanglement," Nature Communications, Nature, vol. 14(1), pages 1-22, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31388-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.