Literature DB >> 29405336

Ruthenium counterstaining for imaging mass cytometry.

Raúl Catena1, Luis M Montuenga2, Bernd Bodenmiller1.   

Abstract

Imaging mass cytometry is a novel imaging modality that enables simultaneous antibody-based detection of >40 epitopes and molecules in tissue sections at subcellular resolution by the use of isotopically pure metal tags. Essential for any imaging approach in which antigen detection is performed is counterstaining, which reveals the overall structure of the tissue. Counterstaining is necessary because antigens of interest are often present in only a small subset of cells, and the rest of the tissue structures are not visible. As most biological tissues are nearly transparent or non-fluorescent, chromogenic reagents such as haematoxylin (for immunohistochemistry) or fluorescent dyes such as 4',6-diamidino-2-phenylindole (which stains nuclei for epifluorescence and confocal microscopy) are utilized. Here, we describe a metal-based counterstain for imaging mass cytometry based on simple oxidation and subsequent covalent binding of the tissue components to ruthenium tetroxide (RuO4 ). RuO4 counterstaining reveals general tissue structure both in areas with high cell content and in stromal areas with low cellularity and fibrous or hyaline material in a manner analogous to haematoxylin in immunohistochemical counterstaining or eosin or other anionic dyes in conventional histology. Our new counterstain approach is applicable to any metal-based imaging technique, and will facilitate the adaptation of imaging mass cytometry for routine applications in clinical and research laboratories.
Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  IMC; high-throughput histology; imaging mass cytometry; metal counterstaining; next-generation immunohistochemistry; ruthenium tetroxide

Mesh:

Substances:

Year:  2018        PMID: 29405336     DOI: 10.1002/path.5049

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  8 in total

1.  Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts.

Authors:  Mohan Bolisetty; Pasquale Laise; William F Flynn; Ela Elyada; Elise T Courtois; Richard A Burkhart; Jonathan A Teinor; Pascal Belleau; Giulia Biffi; Matthew S Lucito; Santhosh Sivajothi; Todd D Armstrong; Dannielle D Engle; Kenneth H Yu; Yuan Hao; Christopher L Wolfgang; Youngkyu Park; Jonathan Preall; Elizabeth M Jaffee; Andrea Califano; Paul Robson; David A Tuveson
Journal:  Cancer Discov       Date:  2019-06-13       Impact factor: 39.397

2.  Metabolic adaptation of ovarian tumors in patients treated with an IDO1 inhibitor constrains antitumor immune responses.

Authors:  Kunle Odunsi; Feng Qian; Amit A Lugade; Han Yu; Melissa A Geller; Steven P Fling; Judith C Kaiser; Andreanne M Lacroix; Leonard D'Amico; Nirasha Ramchurren; Chihiro Morishima; Mary L Disis; Lucas Dennis; Patrick Danaher; Sarah Warren; Van Anh Nguyen; Sudharshan Ravi; Takemasa Tsuji; Spencer Rosario; Wenjuan Zha; Alan Hutson; Song Liu; Shashikant Lele; Emese Zsiros; A J Robert McGray; Jessie Chiello; Richard Koya; Thinle Chodon; Carl D Morrison; Vasanta Putluri; Nagireddy Putluri; Donald E Mager; Rudiyanto Gunawan; Martin A Cheever; Sebastiano Battaglia; Junko Matsuzaki
Journal:  Sci Transl Med       Date:  2022-03-16       Impact factor: 19.319

3.  Immune landscape of human placental villi using single-cell analysis.

Authors:  Jessica M Toothaker; Oluwabunmi Olaloye; Blake T McCourt; Collin C McCourt; Tatiana N Silva; Rebecca M Case; Peng Liu; Dean Yimlamai; George Tseng; Liza Konnikova
Journal:  Development       Date:  2022-02-17       Impact factor: 6.868

4.  Methods for analyzing tellurium imaging mass cytometry data.

Authors:  Jay Bassan; Mark Nitz
Journal:  PLoS One       Date:  2019-09-03       Impact factor: 3.240

Review 5.  Using Imaging Mass Cytometry to Define Cell Identities and Interactions in Human Tissues.

Authors:  Vijayakumar R Kakade; Marlene Weiss; Lloyd G Cantley
Journal:  Front Physiol       Date:  2021-12-22       Impact factor: 4.566

6.  A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution.

Authors:  Michele Bortolomeazzi; Lucia Montorsi; Damjan Temelkovski; Mohamed Reda Keddar; Amelia Acha-Sagredo; Michael J Pitcher; Gianluca Basso; Luigi Laghi; Manuel Rodriguez-Justo; Jo Spencer; Francesca D Ciccarelli
Journal:  Nat Commun       Date:  2022-02-09       Impact factor: 14.919

Review 7.  Immune monitoring using mass cytometry and related high-dimensional imaging approaches.

Authors:  Felix J Hartmann; Sean C Bendall
Journal:  Nat Rev Rheumatol       Date:  2019-12-31       Impact factor: 20.543

Review 8.  Mass Cytometry Imaging for the Study of Human Diseases-Applications and Data Analysis Strategies.

Authors:  Heeva Baharlou; Nicolas P Canete; Anthony L Cunningham; Andrew N Harman; Ellis Patrick
Journal:  Front Immunol       Date:  2019-11-14       Impact factor: 7.561

  8 in total

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