IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39616-w.html
   My bibliography  Save this article

Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology

Author

Listed:
  • Yunhao Bai

    (Stanford University
    Stanford University)

  • Bokai Zhu

    (Stanford University
    Stanford University)

  • John-Paul Oliveria

    (Genentech, Inc.
    McMaster University)

  • Bryan J. Cannon

    (Stanford University)

  • Dorien Feyaerts

    (Stanford University)

  • Marc Bosse

    (Stanford University)

  • Kausalia Vijayaragavan

    (Stanford University)

  • Noah F. Greenwald

    (Stanford University)

  • Darci Phillips

    (Stanford University)

  • Christian M. Schürch

    (Stanford University
    University Hospital and Comprehensive Cancer Center Tübingen)

  • Samuel M. Naik

    (Harvard Medical School)

  • Edward A. Ganio

    (Stanford University)

  • Brice Gaudilliere

    (Stanford University)

  • Scott J. Rodig

    (Harvard Medical School)

  • Michael B. Miller

    (Harvard Medical School
    Harvard Medical School
    Boston Children’s Hospital
    Broad Institute of MIT and Harvard)

  • Michael Angelo

    (Stanford University)

  • Sean C. Bendall

    (Stanford University)

  • Xavier Rovira-Clavé

    (Stanford University
    Stanford University)

  • Garry P. Nolan

    (Stanford University)

  • Sizun Jiang

    (Stanford University
    Broad Institute of MIT and Harvard
    Beth Israel Deaconess Medical Center
    Dana Farber Cancer Institute)

Abstract

Cellular organization and functions encompass multiple scales in vivo. Emerging high-plex imaging technologies are limited in resolving subcellular biomolecular features. Expansion Microscopy (ExM) and related techniques physically expand samples for enhanced spatial resolution, but are challenging to be combined with high-plex imaging technologies to enable integrative multiscaled tissue biology insights. Here, we introduce Expand and comPRESS hydrOgels (ExPRESSO), an ExM framework that allows high-plex protein staining, physical expansion, and removal of water, while retaining the lateral tissue expansion. We demonstrate ExPRESSO imaging of archival clinical tissue samples on Multiplexed Ion Beam Imaging and Imaging Mass Cytometry platforms, with detection capabilities of > 40 markers. Application of ExPRESSO on archival human lymphoid and brain tissues resolved tissue architecture at the subcellular level, particularly that of the blood-brain barrier. ExPRESSO hence provides a platform for extending the analysis compatibility of hydrogel-expanded biospecimens to mass spectrometry, with minimal modifications to protocols and instrumentation.

Suggested Citation

  • Yunhao Bai & Bokai Zhu & John-Paul Oliveria & Bryan J. Cannon & Dorien Feyaerts & Marc Bosse & Kausalia Vijayaragavan & Noah F. Greenwald & Darci Phillips & Christian M. Schürch & Samuel M. Naik & Edw, 2023. "Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39616-w
    DOI: 10.1038/s41467-023-39616-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39616-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39616-w?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. Alex Baranski & Idan Milo & Shirley Greenbaum & John-Paul Oliveria & Dunja Mrdjen & Michael Angelo & Leeat Keren, 2021. "MAUI (MBI Analysis User Interface)—An image processing pipeline for Multiplexed Mass Based Imaging," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-16, April.
    2. Darci Phillips & Magdalena Matusiak & Belén Rivero Gutierrez & Salil S. Bhate & Graham L. Barlow & Sizun Jiang & Janos Demeter & Kimberly S. Smythe & Robert H. Pierce & Steven P. Fling & Nirasha Ramch, 2021. "Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    3. Sinem K. Saka & Angela Vogts & Katharina Kröhnert & François Hillion & Silvio O Rizzoli & Johannes T. Wessels, 2014. "Correlated optical and isotopic nanoscopy," Nature Communications, Nature, vol. 5(1), pages 1-8, May.
    4. Jia-Ren Lin & Mohammad Fallahi-Sichani & Peter K. Sorger, 2015. "Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
    5. Hartland W. Jackson & Jana R. Fischer & Vito R. T. Zanotelli & H. Raza Ali & Robert Mechera & Savas D. Soysal & Holger Moch & Simone Muenst & Zsuzsanna Varga & Walter P. Weber & Bernd Bodenmiller, 2020. "The single-cell pathology landscape of breast cancer," Nature, Nature, vol. 578(7796), pages 615-620, February.
    6. Paul D. Piehowski & Ying Zhu & Lisa M. Bramer & Kelly G. Stratton & Rui Zhao & Daniel J. Orton & Ronald J. Moore & Jia Yuan & Hugh D. Mitchell & Yuqian Gao & Bobbie-Jo M. Webb-Robertson & Sudhansu K. , 2020. "Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    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. Thomas Hu & Mayar Allam & Shuangyi Cai & Walter Henderson & Brian Yueh & Aybuke Garipcan & Anton V. Ievlev & Maryam Afkarian & Semir Beyaz & Ahmet F. Coskun, 2023. "Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    2. Hugo Croizer & Rana Mhaidly & Yann Kieffer & Geraldine Gentric & Lounes Djerroudi & Renaud Leclere & Floriane Pelon & Catherine Robley & Mylene Bohec & Arnaud Meng & Didier Meseure & Emanuela Romano &, 2024. "Deciphering the spatial landscape and plasticity of immunosuppressive fibroblasts in breast cancer," Nature Communications, Nature, vol. 15(1), pages 1-28, December.
    3. Yael Amitay & Yuval Bussi & Ben Feinstein & Shai Bagon & Idan Milo & Leeat Keren, 2023. "CellSighter: a neural network to classify cells in highly multiplexed images," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Peng Lu & Karolyn A. Oetjen & Diane E. Bender & Marianna B. Ruzinova & Daniel A. C. Fisher & Kevin G. Shim & Russell K. Pachynski & W. Nathaniel Brennen & Stephen T. Oh & Daniel C. Link & Daniel L. J., 2023. "IMC-Denoise: a content aware denoising pipeline to enhance Imaging Mass Cytometry," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    5. Candace C. Liu & Noah F. Greenwald & Alex Kong & Erin F. McCaffrey & Ke Xuan Leow & Dunja Mrdjen & Bryan J. Cannon & Josef Lorenz Rumberger & Sricharan Reddy Varra & Michael Angelo, 2023. "Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Junyoung Seo & Yeonbo Sim & Jeewon Kim & Hyunwoo Kim & In Cho & Hoyeon Nam & Young-Gyu Yoon & Jae-Byum Chang, 2022. "PICASSO allows ultra-multiplexed fluorescence imaging of spatially overlapping proteins without reference spectra measurements," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    7. S. Vickovic & B. Lötstedt & J. Klughammer & S. Mages & Å Segerstolpe & O. Rozenblatt-Rosen & A. Regev, 2022. "SM-Omics is an automated platform for high-throughput spatial multi-omics," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Juan Du & Junlei Zhang & Lin Wang & Xun Wang & Yaxing Zhao & Jiaoying Lu & Tingmin Fan & Meng Niu & Jie Zhang & Fei Cheng & Jun Li & Qi Zhu & Daoqiang Zhang & Hao Pei & Guang Li & Xingguang Liang & He, 2023. "Selective oxidative protection leads to tissue topological changes orchestrated by macrophage during ulcerative colitis," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    9. Rui Chen & Jiasu Xu & Boqian Wang & Yi Ding & Aynur Abdulla & Yiyang Li & Lai Jiang & Xianting Ding, 2024. "SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    10. Kaiwen Wang & Yuqiu Yang & Fangjiang Wu & Bing Song & Xinlei Wang & Tao Wang, 2023. "Comparative analysis of dimension reduction methods for cytometry by time-of-flight data," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    11. Shu Wang & Jia-Ren Lin & Eduardo D Sontag & Peter K Sorger, 2019. "Inferring reaction network structure from single-cell, multiplex data, using toric systems theory," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-25, December.
    12. Cemal Erdem & Sean M. Gross & Laura M. Heiser & Marc R. Birtwistle, 2023. "MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    13. Tal M. Dankovich & Rahul Kaushik & Linda H. M. Olsthoorn & Gabriel Cassinelli Petersen & Philipp Emanuel Giro & Verena Kluever & Paola Agüi-Gonzalez & Katharina Grewe & Guobin Bao & Sabine Beuermann &, 2021. "Extracellular matrix remodeling through endocytosis and resurfacing of Tenascin-R," Nature Communications, Nature, vol. 12(1), pages 1-23, December.
    14. Zhiyuan Yuan & Yisi Li & Minglei Shi & Fan Yang & Juntao Gao & Jianhua Yao & Michael Q. Zhang, 2022. "SOTIP is a versatile method for microenvironment modeling with spatial omics data," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    15. Stefanie Hiltbrunner & Lena Cords & Sabrina Kasser & Sandra N. Freiberger & Susanne Kreutzer & Nora C. Toussaint & Linda Grob & Isabelle Opitz & Michael Messerli & Martin Zoche & Alex Soltermann & Mar, 2023. "Acquired resistance to anti-PD1 therapy in patients with NSCLC associates with immunosuppressive T cell phenotype," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    16. Darci Phillips & Magdalena Matusiak & Belén Rivero Gutierrez & Salil S. Bhate & Graham L. Barlow & Sizun Jiang & Janos Demeter & Kimberly S. Smythe & Robert H. Pierce & Steven P. Fling & Nirasha Ramch, 2021. "Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    17. Simon Davis & Connor Scott & Janina Oetjen & Philip D. Charles & Benedikt M. Kessler & Olaf Ansorge & Roman Fischer, 2023. "Deep topographic proteomics of a human brain tumour," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    18. Michele Bortolomeazzi & Lucia Montorsi & Damjan Temelkovski & Mohamed Reda Keddar & Amelia Acha-Sagredo & Michael J. Pitcher & Gianluca Basso & Luigi Laghi & Manuel Rodriguez-Justo & Jo Spencer & Fran, 2022. "A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    19. Valdemaras Petrosius & Pedro Aragon-Fernandez & Nil Üresin & Gergo Kovacs & Teeradon Phlairaharn & Benjamin Furtwängler & Jeff Op De Beeck & Sarah L. Skovbakke & Steffen Goletz & Simon Francis Thomsen, 2023. "Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    20. Caitlin E. Mills & Kartik Subramanian & Marc Hafner & Mario Niepel & Luca Gerosa & Mirra Chung & Chiara Victor & Benjamin Gaudio & Clarence Yapp & Ajit J. Nirmal & Nicholas Clark & Peter K. Sorger, 2022. "Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop," Nature Communications, Nature, vol. 13(1), pages 1-18, 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_s41467-023-39616-w. 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.