V
Vito R T Zanotelli
Researcher at University of Zurich
Publications - 22
Citations - 3674
Vito R T Zanotelli is an academic researcher from University of Zurich. The author has contributed to research in topics: Mass cytometry & Proteomics. The author has an hindex of 13, co-authored 21 publications receiving 2248 citations. Previous affiliations of Vito R T Zanotelli include ETH Zurich.
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Journal ArticleDOI
Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues
Roland Bruderer,Oliver M. Bernhardt,Tejas Gandhi,Saša M. Miladinović,Lin-Yang Cheng,Simon Messner,Tobias Ehrenberger,Vito R T Zanotelli,Yulia Butscheid,Claudia Escher,Olga Vitek,Oliver Rinner,Lukas Reiter +12 more
TL;DR: It is shown that HRM outperformed shotgun proteomics both in the number of consistently identified peptides across multiple measurements and quantification of differentially abundant proteins, implying that DIA should be the preferred method for quantitative protein profiling.
Journal ArticleDOI
An Immune Atlas of Clear Cell Renal Cell Carcinoma
Stéphane Chevrier,Jacob H. Levine,Vito R T Zanotelli,Karina Silina,Daniel Schulz,Marina Bacac,Carola Ries,Laurie Ailles,Laurie Ailles,Michael A.S. Jewett,Holger Moch,Maries van den Broek,Christian Beisel,Michael B. Stadler,Michael B. Stadler,Craig Gedye,Bernhard Reis,Dana Pe'er,Bernd Bodenmiller +18 more
TL;DR: In this paper, the authors used mass cytometry with extensive antibody panels to perform in-depth immune profiling of samples from 73 clear cell renal cell carcinoma (ccRCC) patients and five healthy controls.
Journal ArticleDOI
The single-cell pathology landscape of breast cancer
Hartland W. Jackson,Jana R. Fischer,Vito R T Zanotelli,H. Raza Ali,H. Raza Ali,Robert Mechera,Savas D. Soysal,Holger Moch,Simone Muenst,Zsuzsanna Varga,Walter P. Weber,Bernd Bodenmiller +11 more
TL;DR: A single-cell, spatially resolved analysis of breast cancer demonstrates the heterogeneity of tumour and stroma tissue and provides a more-detailed method of patient classification than the current histology-based system.
Journal ArticleDOI
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
Denis Schapiro,Hartland W. Jackson,Swetha Raghuraman,Jana R. Fischer,Vito R T Zanotelli,Daniel Schulz,Charlotte Giesen,Raul Catena,Zsuzsanna Varga,Bernd Bodenmiller +9 more
TL;DR: This work has developed an open-source, computational histology topography cytometry analysis toolbox (histoCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell–cell interactions, microenvironments, and morphological structures within intact tissues.
Journal ArticleDOI
Systems-level analysis of mechanisms regulating yeast metabolic flux.
Sean R. Hackett,Vito R T Zanotelli,Wenxin Xu,Jonathan Goya,Junyoung O. Park,David H. Perlman,Patrick A. Gibney,David Botstein,John D. Storey,Joshua D. Rabinowitz +9 more
TL;DR: In this paper, a systematic identification of meaningful metabolic enzyme regulation (SIMMER) was proposed, which can carry out regulatory inference at the level of single metabolic reactions by using cellular data.