IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-024-54643-x.html
   My bibliography  Save this article

Robust collection and processing for label-free single voxel proteomics

Author

Listed:
  • Reta Birhanu Kitata

    (Pacific Northwest National Laboratory)

  • Marija Velickovic

    (Pacific Northwest National Laboratory)

  • Zhangyang Xu

    (Pacific Northwest National Laboratory)

  • Rui Zhao

    (Pacific Northwest National Laboratory)

  • David Scholten

    (Feinberg School of Medicine, Northwestern University)

  • Rosalie K. Chu

    (Pacific Northwest National Laboratory)

  • Daniel J. Orton

    (Pacific Northwest National Laboratory)

  • William B. Chrisler

    (Pacific Northwest National Laboratory)

  • Tong Zhang

    (Pacific Northwest National Laboratory)

  • Jeremy V. Mathews

    (Feinberg School of Medicine, Northwestern University)

  • Benjamin M. Bumgarner

    (College of Medicine, University of Florida)

  • Demirkan B. Gursel

    (Feinberg School of Medicine, Northwestern University)

  • Ronald J. Moore

    (Pacific Northwest National Laboratory)

  • Paul D. Piehowski

    (Pacific Northwest National Laboratory)

  • Tao Liu

    (Pacific Northwest National Laboratory)

  • Richard D. Smith

    (Pacific Northwest National Laboratory)

  • Huiping Liu

    (Feinberg School of Medicine, Northwestern University)

  • Clive H. Wasserfall

    (College of Medicine, University of Florida)

  • Chia-Feng Tsai

    (Pacific Northwest National Laboratory)

  • Tujin Shi

    (Pacific Northwest National Laboratory)

Abstract

With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures tissue heterogeneity, precluding proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single microscale tissue voxels and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics. wcSOP capitalizes on buffer droplet-assisted wet collection of single voxels dissected by LCM to the tube cap and SOP voxel processing in the same collection cap. This method enables reproducible, label-free quantification of approximately 900 and 4600 proteins for single voxels at 20 µm × 20 µm × 10 µm (~1 cell region) and 200 µm × 200 µm × 10 µm (~100 cell region) from fresh frozen human spleen tissue, respectively. It can reveal spatially resolved protein signatures and region-specific signaling pathways. Furthermore, wcSOP-MS is demonstrated to be broadly applicable for OCT-embedded and FFPE human archived tissues as well as for small-scale 2D proteome mapping of tissues at high spatial resolutions. wcSOP-MS may pave the way for routine robust single voxel proteomics and spatial proteomics.

Suggested Citation

  • Reta Birhanu Kitata & Marija Velickovic & Zhangyang Xu & Rui Zhao & David Scholten & Rosalie K. Chu & Daniel J. Orton & William B. Chrisler & Tong Zhang & Jeremy V. Mathews & Benjamin M. Bumgarner & D, 2025. "Robust collection and processing for label-free single voxel proteomics," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-54643-x
    DOI: 10.1038/s41467-024-54643-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-54643-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-54643-x?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. Philipp Mertins & D. R. Mani & Kelly V. Ruggles & Michael A. Gillette & Karl R. Clauser & Pei Wang & Xianlong Wang & Jana W. Qiao & Song Cao & Francesca Petralia & Emily Kawaler & Filip Mundt & Karste, 2016. "Proteogenomics connects somatic mutations to signalling in breast cancer," Nature, Nature, vol. 534(7605), pages 55-62, June.
    2. Min Ma & Shihan Huo & Ming Zhang & Shuo Qian & Xiaoyu Zhu & Jie Pu & Sailee Rasam & Chao Xue & Shichen Shen & Bo An & Jianmin Wang & Jun Qu, 2022. "In-depth mapping of protein localizations in whole tissue by micro-scaffold assisted spatial proteomics (MASP)," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Shirley Greenbaum & Inna Averbukh & Erin Soon & Gabrielle Rizzuto & Alex Baranski & Noah F. Greenwald & Adam Kagel & Marc Bosse & Eleni G. Jaswa & Zumana Khair & Shirley Kwok & Shiri Warshawsky & Hade, 2023. "A spatially resolved timeline of the human maternal–fetal interface," Nature, Nature, vol. 619(7970), pages 595-605, July.
    4. John W. Hickey & Winston R. Becker & Stephanie A. Nevins & Aaron Horning & Almudena Espin Perez & Chenchen Zhu & Bokai Zhu & Bei Wei & Roxanne Chiu & Derek C. Chen & Daniel L. Cotter & Edward D. Espli, 2023. "Organization of the human intestine at single-cell resolution," Nature, Nature, vol. 619(7970), pages 572-584, July.
    5. 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. Yanfen Xu & Xi Wang & Yuan Li & Yiheng Mao & Yiran Su & Yize Mao & Yun Yang & Weina Gao & Changying Fu & Wendong Chen & Xueting Ye & Fuchao Liang & Panzhu Bai & Ying Sun & Shengping Li & Ruilian Xu & , 2024. "Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. 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.
    3. Marija Veličković & Leena Kadam & Joonhoon Kim & Kevin J. Zemaitis & Dušan Veličković & Yuqian Gao & Ruonan Wu & Thomas L. Fillmore & Daniel Orton & Sarah M. Williams & Matthew E. Monroe & Ronald J. M, 2025. "Advanced multi-modal mass spectrometry imaging reveals functional differences of placental villous compartments at microscale resolution," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    4. Katrin Stuber & Tobias Schneider & Jill Werner & Michael Kovermann & Andreas Marx & Martin Scheffner, 2021. "Structural and functional consequences of NEDD8 phosphorylation," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    5. 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.
    6. Chengxin Dai & Anja Füllgrabe & Julianus Pfeuffer & Elizaveta M. Solovyeva & Jingwen Deng & Pablo Moreno & Selvakumar Kamatchinathan & Deepti Jaiswal Kundu & Nancy George & Silvie Fexova & Björn Grüni, 2021. "A proteomics sample metadata representation for multiomics integration and big data analysis," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    7. A. Contreras-Sanz & G. L. Negri & M. J. Reike & H. Z. Oo & J. M. Scurll & S. E. Spencer & K. Nielsen & K. Ikeda & G. Wang & C. L. Jackson & S. Gupta & M. E. Roberts & D. M. Berman & R. Seiler & G. B. , 2025. "Proteomic profiling identifies muscle-invasive bladder cancers with distinct biology and responses to platinum-based chemotherapy," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
    8. Jonathan J. Swietlik & Stefanie Bärthel & Chiara Falcomatà & Diana Fink & Ankit Sinha & Jingyuan Cheng & Stefan Ebner & Peter Landgraf & Daniela C. Dieterich & Henrik Daub & Dieter Saur & Felix Meissn, 2023. "Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    9. Jennifer G. Abelin & Erik J. Bergstrom & Keith D. Rivera & Hannah B. Taylor & Susan Klaeger & Charles Xu & Eva K. Verzani & C. Jackson White & Hilina B. Woldemichael & Maya Virshup & Meagan E. Olive &, 2023. "Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    10. Yiqun Zhang & Fengju Chen & Darshan S. Chandrashekar & Sooryanarayana Varambally & Chad J. Creighton, 2022. "Proteogenomic characterization of 2002 human cancers reveals pan-cancer molecular subtypes and associated pathways," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    11. Bokai Zhu & Yunhao Bai & Yao Yu Yeo & Xiaowei Lu & Xavier Rovira-Clavé & Han Chen & Jason Yeung & Dingani Nkosi & Jonathan Glickman & Antonio Delgado-Gonzalez & Georg K. Gerber & Mike Angelo & Alex K., 2025. "A multi-omics spatial framework for host-microbiome dissection within the intestinal tissue microenvironment," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
    12. Shizhong Ke & Fabin Dang & Lin Wang & Jia-Yun Chen & Mandar T. Naik & Wenxue Li & Abhishek Thavamani & Nami Kim & Nandita M. Naik & Huaxiu Sui & Wei Tang & Chenxi Qiu & Kazuhiro Koikawa & Felipe Batal, 2024. "Reciprocal antagonism of PIN1-APC/CCDH1 governs mitotic protein stability and cell cycle entry," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    13. Sarah E. Conduit & Wayne Pearce & Amandeep Bhamra & Benoit Bilanges & Laura Bozal-Basterra & Lazaros C. Foukas & Mathias Cobbaut & Sandra D. Castillo & Mohammad Amin Danesh & Mahreen Adil & Arkaitz Ca, 2024. "A class I PI3K signalling network regulates primary cilia disassembly in normal physiology and disease," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    14. Yashvardhan Jain & Leah L. Godwin & Sripad Joshi & Shriya Mandarapu & Trang Le & Cecilia Lindskog & Emma Lundberg & Katy Börner, 2023. "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    15. Pasquale Simeone & Stefano Tacconi & Serena Longo & Paola Lanuti & Sara Bravaccini & Francesca Pirini & Sara Ravaioli & Luciana Dini & Anna M. Giudetti, 2021. "Expanding Roles of De Novo Lipogenesis in Breast Cancer," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    16. Ling Li & Mingming Niu & Alyssa Erickson & Jie Luo & Kincaid Rowbotham & Kai Guo & He Huang & Yuxin Li & Yi Jiang & Junguk Hur & Chunyu Liu & Junmin Peng & Xusheng Wang, 2022. "SMAP is a pipeline for sample matching in proteogenomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    17. Yu Zhao & Ran Zhou & Bingqing Xie & Cambrian Y. Liu & Martin Kalski & Candace M. Cham & Zhiwei Jiang & Jason Koval & Christopher R. Weber & David T. Rubin & Mitch Sogin & Sean Crosson & Mengjie Chen &, 2025. "Multiomic analysis reveals cellular, transcriptomic and epigenetic changes in intestinal pouches of ulcerative colitis patients," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
    18. Sam Crowl & Ben T. Jordan & Hamza Ahmed & Cynthia X. Ma & Kristen M. Naegle, 2022. "KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    19. Rafael dos Santos Peixoto & Brendan F. Miller & Maigan A. Brusko & Gohta Aihara & Lyla Atta & Manjari Anant & Mark A. Atkinson & Todd M. Brusko & Clive H. Wasserfall & Jean Fan, 2025. "Characterizing cell-type spatial relationships across length scales in spatially resolved omics data," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    20. 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.

    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:16:y:2025:i:1:d:10.1038_s41467-024-54643-x. 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.