IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39447-9.html
   My bibliography  Save this article

Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury

Author

Listed:
  • Peter Androvic

    (University Hospital of Munich, LMU Munich)

  • Martina Schifferer

    (German Center for Neurodegenerative Diseases (DZNE)
    Munich Cluster of Systems Neurology (SyNergy))

  • Katrin Perez Anderson

    (University Hospital of Munich, LMU Munich)

  • Ludovico Cantuti-Castelvetri

    (German Center for Neurodegenerative Diseases (DZNE)
    Technical University Munich)

  • Hanyi Jiang

    (German Center for Neurodegenerative Diseases (DZNE)
    Munich Cluster of Systems Neurology (SyNergy))

  • Hao Ji

    (University Hospital of Munich, LMU Munich)

  • Lu Liu

    (University Hospital of Munich, LMU Munich)

  • Garyfallia Gouna

    (German Center for Neurodegenerative Diseases (DZNE)
    Technical University Munich)

  • Stefan A. Berghoff

    (German Center for Neurodegenerative Diseases (DZNE)
    Technical University Munich)

  • Simon Besson-Girard

    (University Hospital of Munich, LMU Munich)

  • Johanna Knoferle

    (German Center for Neurodegenerative Diseases (DZNE)
    Technical University Munich
    University Hospital Bonn)

  • Mikael Simons

    (University Hospital of Munich, LMU Munich
    German Center for Neurodegenerative Diseases (DZNE)
    Munich Cluster of Systems Neurology (SyNergy)
    Technical University Munich)

  • Ozgun Gokce

    (University Hospital of Munich, LMU Munich
    Munich Cluster of Systems Neurology (SyNergy)
    University Hospital Bonn)

Abstract

Understanding the complexity of cellular function within a tissue necessitates the combination of multiple phenotypic readouts. Here, we developed a method that links spatially-resolved gene expression of single cells with their ultrastructural morphology by integrating multiplexed error-robust fluorescence in situ hybridization (MERFISH) and large area volume electron microscopy (EM) on adjacent tissue sections. Using this method, we characterized in situ ultrastructural and transcriptional responses of glial cells and infiltrating T-cells after demyelinating brain injury in male mice. We identified a population of lipid-loaded “foamy” microglia located in the center of remyelinating lesion, as well as rare interferon-responsive microglia, oligodendrocytes, and astrocytes that co-localized with T-cells. We validated our findings using immunocytochemistry and lipid staining-coupled single-cell RNA sequencing. Finally, by integrating these datasets, we detected correlations between full-transcriptome gene expression and ultrastructural features of microglia. Our results offer an integrative view of the spatial, ultrastructural, and transcriptional reorganization of single cells after demyelinating brain injury.

Suggested Citation

  • Peter Androvic & Martina Schifferer & Katrin Perez Anderson & Ludovico Cantuti-Castelvetri & Hanyi Jiang & Hao Ji & Lu Liu & Garyfallia Gouna & Stefan A. Berghoff & Simon Besson-Girard & Johanna Knofe, 2023. "Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39447-9
    DOI: 10.1038/s41467-023-39447-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39447-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39447-9?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. Takahiro Masuda & Roman Sankowski & Ori Staszewski & Chotima Böttcher & Lukas Amann & Sagar & Christian Scheiwe & Stefan Nessler & Patrik Kunz & Geert Loo & Volker Arnd Coenen & Peter Christoph Reinac, 2019. "Author Correction: Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution," Nature, Nature, vol. 568(7751), pages 4-4, April.
    2. Anjali Rao & Dalia Barkley & Gustavo S. França & Itai Yanai, 2021. "Exploring tissue architecture using spatial transcriptomics," Nature, Nature, vol. 596(7871), pages 211-220, August.
    3. Takahiro Masuda & Roman Sankowski & Ori Staszewski & Chotima Böttcher & Lukas Amann & Sagar & Christian Scheiwe & Stefan Nessler & Patrik Kunz & Geert Loo & Volker Arnd Coenen & Peter Christoph Reinac, 2019. "Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution," Nature, Nature, vol. 566(7744), pages 388-392, February.
    4. Meng Zhang & Stephen W. Eichhorn & Brian Zingg & Zizhen Yao & Kaelan Cotter & Hongkui Zeng & Hongwei Dong & Xiaowei Zhuang, 2021. "Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH," Nature, Nature, vol. 598(7879), pages 137-143, October.
    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. Christina Koupourtidou & Veronika Schwarz & Hananeh Aliee & Simon Frerich & Judith Fischer-Sternjak & Riccardo Bocchi & Tatiana Simon-Ebert & Xianshu Bai & Swetlana Sirko & Frank Kirchhoff & Martin Di, 2024. "Shared inflammatory glial cell signature after stab wound injury, revealed by spatial, temporal, and cell-type-specific profiling of the murine cerebral cortex," Nature Communications, Nature, vol. 15(1), pages 1-22, 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. Xinrui Zhou & Wan Yi Seow & Norbert Ha & Teh How Cheng & Lingfan Jiang & Jeeranan Boonruangkan & Jolene Jie Lin Goh & Shyam Prabhakar & Nigel Chou & Kok Hao Chen, 2024. "Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Thanh Loc Nguyen & Youngjin Choi & Jihye Im & Hyunsu Shin & Ngoc Man Phan & Min Kyung Kim & Seung Woo Choi & Jaeyun Kim, 2022. "Immunosuppressive biomaterial-based therapeutic vaccine to treat multiple sclerosis via re-establishing immune tolerance," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Zu-Qiang Liu & Hao Dai & Lu Yao & Wei-Feng Chen & Yun Wang & Li-Yun Ma & Xiao-Qing Li & Sheng-Li Lin & Meng-Jiang He & Ping-Ting Gao & Xin-Yang Liu & Jia-Xin Xu & Xiao-Yue Xu & Ke-Hao Wang & Li Wang &, 2023. "A single-cell transcriptional landscape of immune cells shows disease-specific changes of T cell and macrophage populations in human achalasia," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Jarne Beliën & Stijn Swinnen & Robbe D’hondt & Laia Verdú de Juan & Nina Dedoncker & Patrick Matthys & Jan Bauer & Celine Vens & Sinéad Moylett & Bénédicte Dubois, 2024. "CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    5. Arezou Rahimi & Luis A. Vale-Silva & Maria Fälth Savitski & Jovan Tanevski & Julio Saez-Rodriguez, 2024. "DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Noah R. Johnson & Peng Yuan & Erika Castillo & T. Peter Lopez & Weizhou Yue & Annalise Bond & Brianna M. Rivera & Miranda C. Sullivan & Masakazu Hirouchi & Kurt Giles & Atsushi Aoyagi & Carlo Condello, 2023. "CSF1R inhibitors induce a sex-specific resilient microglial phenotype and functional rescue in a tauopathy mouse model," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
    7. Wenyi Yang & Pingping Wang & Shouping Xu & Tao Wang & Meng Luo & Yideng Cai & Chang Xu & Guangfu Xue & Jinhao Que & Qian Ding & Xiyun Jin & Yuexin Yang & Fenglan Pang & Boran Pang & Yi Lin & Huan Nie , 2024. "Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    8. Rongbo Shen & Lin Liu & Zihan Wu & Ying Zhang & Zhiyuan Yuan & Junfu Guo & Fan Yang & Chao Zhang & Bichao Chen & Wanwan Feng & Chao Liu & Jing Guo & Guozhen Fan & Yong Zhang & Yuxiang Li & Xun Xu & Ji, 2022. "Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    9. Shannon Tansley & Sonali Uttam & Alba Ureña Guzmán & Moein Yaqubi & Alain Pacis & Marc Parisien & Haley Deamond & Calvin Wong & Oded Rabau & Nicole Brown & Lisbet Haglund & Jean Ouellet & Carlo Santag, 2022. "Single-cell RNA sequencing reveals time- and sex-specific responses of mouse spinal cord microglia to peripheral nerve injury and links ApoE to chronic pain," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Jongsu Choi & Jin Li & Salma Ferdous & Qingnan Liang & Jeffrey R. Moffitt & Rui Chen, 2023. "Spatial organization of the mouse retina at single cell resolution by MERFISH," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    11. Zhiyuan Yuan, 2024. "MENDER: fast and scalable tissue structure identification in spatial omics data," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    12. Hao Xu & Shuyan Wang & Minghao Fang & Songwen Luo & Chunpeng Chen & Siyuan Wan & Rirui Wang & Meifang Tang & Tian Xue & Bin Li & Jun Lin & Kun Qu, 2023. "SPACEL: deep learning-based characterization of spatial transcriptome architectures," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    13. Duy Pham & Xiao Tan & Brad Balderson & Jun Xu & Laura F. Grice & Sohye Yoon & Emily F. Willis & Minh Tran & Pui Yeng Lam & Arti Raghubar & Priyakshi Kalita-de Croft & Sunil Lakhani & Jana Vukovic & Ma, 2023. "Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
    14. Rasmus Berglund & Yufei Cheng & Eliane Piket & Milena Z. Adzemovic & Manuel Zeitelhofer & Tomas Olsson & Andre Ortlieb Guerreiro-Cacais & Maja Jagodic, 2024. "The aging mouse CNS is protected by an autophagy-dependent microglia population promoted by IL-34," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    15. Zhiyuan Liu & Dafei Wu & Weiwei Zhai & Liang Ma, 2023. "SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    16. Tian Zhou & Yuxin Li & Xiaoyu Li & Fanzhuo Zeng & Yanxia Rao & Yang He & Yafei Wang & Meizhen Liu & Dali Li & Zhen Xu & Xin Zhou & Siling Du & Fugui Niu & Jiyun Peng & Xifan Mei & Sheng-Jian Ji & Yous, 2022. "Microglial debris is cleared by astrocytes via C4b-facilitated phagocytosis and degraded via RUBICON-dependent noncanonical autophagy in mice," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
    17. Aletta M. R. Bosch & Marlijn Poel & Nina L. Fransen & Maria C. J. Vincenten & Anneleen M. Bobeldijk & Aldo Jongejan & Hendrik J. Engelenburg & Perry D. Moerland & Joost Smolders & Inge Huitinga & Jörg, 2024. "Profiling of microglia nodules in multiple sclerosis reveals propensity for lesion formation," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    18. Kian Kalhor & Chien-Ju Chen & Ho Suk Lee & Matthew Cai & Mahsa Nafisi & Richard Que & Carter R. Palmer & Yixu Yuan & Yida Zhang & Xuwen Li & Jinghui Song & Amanda Knoten & Blue B. Lake & Joseph P. Gau, 2024. "Mapping human tissues with highly multiplexed RNA in situ hybridization," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    19. Moumita Datta & Stefanie M. Hansen & Ori Staszewski, 2020. "Microglial Expression of Hdac1 and Hdac2 is Dispensable for Experimental Autoimmune Encephalomyelitis (EAE) Progression," J, MDPI, vol. 3(4), pages 1-8, October.
    20. Qianqian Zhang & Sijin Cheng & Yongzhi Wang & Mengdi Wang & Yufeng Lu & Zengqi Wen & Yuxin Ge & Qiang Ma & Youqiao Chen & Yaowu Zhang & Ren Cao & Min Li & Weihao Liu & Bo Wang & Qian Wu & Wenqing Jia , 2021. "Interrogation of the microenvironmental landscape in spinal ependymomas reveals dual functions of tumor-associated macrophages," Nature Communications, Nature, vol. 12(1), pages 1-17, 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:14:y:2023:i:1:d:10.1038_s41467-023-39447-9. 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.