Adam Taylor

ORCID: 0000-0003-0501-8886
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About
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Research Areas
  • Microstructure and Mechanical Properties of Steels
  • Ion-surface interactions and analysis
  • Bioinformatics and Genomic Networks
  • Advanced Materials Characterization Techniques
  • Mass Spectrometry Techniques and Applications
  • Metallurgy and Material Forming
  • Meat and Animal Product Quality
  • Advanced Chemical Sensor Technologies
  • High Entropy Alloys Studies
  • High Temperature Alloys and Creep
  • High-Temperature Coating Behaviors
  • Genetics, Bioinformatics, and Biomedical Research
  • AI in cancer detection
  • Single-cell and spatial transcriptomics
  • Metal and Thin Film Mechanics
  • Metabolomics and Mass Spectrometry Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Metallurgical Processes and Thermodynamics
  • Computational Drug Discovery Methods
  • Cell Image Analysis Techniques
  • Bone Tissue Engineering Materials
  • Cancer Genomics and Diagnostics
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Metal Alloys Wear and Properties
  • Fusion materials and technologies

Sage Bionetworks
2022-2025

National Physical Laboratory
2018-2024

Deakin University
2011-2024

University of Washington
2014-2018

Friedrich-Alexander-Universität Erlangen-Nürnberg
2018

Seattle University
2015

University of Nottingham
1982-2014

Erich Schmid Institute of Materials Science
2010

Austrian Academy of Sciences
2010

Imperial College Healthcare NHS Trust
2009

In this review, we focus on the saturation microstructure that evolves during severe plastic deformation (SPD). These nanocrystalline or ultrafine-grained microstructures consist predominantly of high-angle boundaries, although low-angle boundaries are also present. Deformation temperature, alloying, and strain path dominant factors controlling grain size in single-phase materials. The decreases significantly with decreasing dependency is stronger at medium homologous temperatures less...

10.1146/annurev-matsci-070909-104445 article EN Annual Review of Materials Research 2010-06-01

10.1038/s41588-020-00753-3 article EN Nature Genetics 2021-01-01

In this study we have explored several aspects of regional analyte suppression in mass spectrometry imaging (MSI) a heterogeneous sample, transverse cryosections mouse brain. Olanzapine was homogeneously coated across the section prior to desorption electrospray ionization (DESI) and matrix-assisted laser (MALDI) imaging. We employed concept tissue extinction coefficient (TEC) assess an on relative its intensity off region. expanded use TEC, by first segmenting anatomical regions using...

10.1021/acs.analchem.7b05005 article EN Analytical Chemistry 2018-02-20
Denis Schapiro Clarence Yapp Artem Sokolov Sheila M. Reynolds Chen Yuan and 95 more Damir Sudar Yubin Xie Jeremy Muhlich Raquel Arias-Camison Sarah Arena Adam Taylor Milen Nikolov Madison Tyler Jia‐Ren Lin Erik Burlingame Daniel L. Abravanel Samuel Achilefu Foluso O. Ademuyiwa Andrew Adey Rebecca Aft Khung Jun Ahn Fatemeh Alikarami‬ Shahar Alon Orr Ashenberg Ethan Baker Gregory J. Baker Shovik Bandyopadhyay Peter O. Bayguinov Jennifer Beane Winston R. Becker Kathrin M. Bernt Courtney B. Betts Julie Bletz Tim Blosser Adrienne Boire Genevieve M. Boland Edward S. Boyden Elmar Bucher Raphael Bueno Qiuyin Cai Francesco Cambuli Joshua D. Campbell Song Cao Wagma Caravan Ronan Chaligné Joseph M. Chan Sara E. Chasnoff Deyali Chatterjee Alyce A. Chen Changya Chen Chia‐Hui Chen Bob Chen Feng Chen Siqi Chen Milan G. Chheda Koei Chin Hyeyoung Cho Jaeyoung Chun Luis Cisneros Robert J. Coffey Ofir Cohen Graham A. Colditz Kristina A. Cole Natalie B. Collins Daniel J. Cotter Lisa M. Coussens Shannon Coy Allison Creason Yi Cui Daniel Cui Zhou Christina Curtis Sherri R. Davies Ino de Bruijn Toni Delorey Emek Demir David G. DeNardo Dinh Diep Li Ding John F. DiPersio Steven M. Dubinett Timothy J. Eberlein James A. Eddy Edward D. Esplin Rachel E. Factor Kayvon Fatahalian Heidi S. Feiler José M. Fernández Andrew J. Fields Ryan C. Fields James A. J. Fitzpatrick James M. Ford Jeff Franklin Bob Fulton Giorgio Gaglia Luciano Galdieri Karuna Ganesh Jianjiong Gao Benjamin L. Gaudio Gad Getz David L. Gibbs

10.1038/s41592-022-01415-4 article EN Nature Methods 2022-03-01

Abstract Tumors are intrinsically heterogeneous and it is well established that this directs their evolution, hinders classification frustrates therapy 1–3 . Consequently, spatially resolved omics-level analyses gaining traction 4–9 Despite considerable therapeutic interest, tumor metabolism has been lagging behind development there a paucity of data regarding its spatial organization. To address shortcoming, we set out to study the local metabolic effects oncogene c-MYC , pleiotropic...

10.1038/s42255-023-00915-7 article EN cc-by Nature Metabolism 2023-11-09

Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in life sciences. In this White Paper, we take a first step at presenting some most common use cases as well critical/emerging (including artificial intelligence for) biological medical data, which would benefit tremendously from better frameworks technical, resourcing, legal, ethical aspects). second half paper, paint an ideal world scenario how could work all...

10.48550/arxiv.2401.13023 preprint EN cc-by-nc-sa arXiv (Cornell University) 2024-01-01
Richard J. A. Goodwin John F. Marshall George Poulogiannis Mariia Yuneva Kevin M. Brindle and 92 more Zoltán Takáts Owen J. Sansom Josephine Bunch Simon T. Barry Ala Al-Afeef Ala Amgheib Sassan M. Azarian Frederic Brochu-Williams Amy Burton Andrew D. Campbell Vanina Cristaudo Ali Anıl Demirçalı Alex Dexter Efstathios A. Elia Maria Fala Magali Garrett Avinash Ghanate Ian S. Gilmore Ariadna Gonzalez Paul Grant Amit Gupta Dipa Gurung Harry Hall Grégory Hamm Paolo Inglese Nahid Islam Stewart Jones Evdoxia Karali Emine Kazanç Hanifa Koguna Manas Kohli Hanifa Koquna Nikos Koundouros Peter Kreuzaler Melina Kyriazi Sharanpreet Lall David Y. Lewis Stephanie Ling Xavier Loizeau Dominika Luptáková Stefania Maneta-Stravrakaki Daniel McGill Daniel McGill James S. McKenzie G. McMahon Martin Metodiev Jaina Mistry Alvaro Perdones Monteiro Erica Montezuma Jennifer P. Morton Catherine Munteanu Teresa Murta Arafath K. Najumudeen Chandan Seth Nanda Ammar Nasif Chelsea J. Nikula Madelon Paauwe Petra Paiz Yulia Panina Robin Philip Liam Poynter Pamela Pruski Alan Race Jyotsna U. Rao Jack Richings Adele Savage Chandan Seth Nanda Shreya Sharma Renata Soares Dmitry A. Soloviev Amy R. Spicer-Hadlington Caroline Sproat Rory T. Steven David Sumpton Adam Taylor Spencer A. Thomas Daria Thompson Aurélien Tripp Thanasis Tsalikis Anastasia Tsyben Seyma Turseven Johan Vande Voorde Jean‐Luc Vorng Emma White Alan F. Wright Vincen Wu Yong‐Bing Xiang Bin Yan Jiang Zao Lucas Zeiger Junting Zhang Weiwei Zhou

Understanding tumor heterogeneity is a major challenge that was recognized as one of the first Cancer Grand Challenges, with call to provide solutions visualize heterogeneity. The Rosetta team took on this challenge, exploiting advances in spatial-omics approaches centered around mass spectrometry imaging map at cellular and molecular scales different levels resolution. See related article by Bressan et al., p. 16 Stratton 22 Bhattacharjee 28.

10.1158/2159-8290.cd-24-0016 article EN Cancer Discovery 2025-01-13

<div>Summary:<p>Understanding tumor heterogeneity is a major challenge that was recognized as one of the first Cancer Grand Challenges, with call to provide solutions visualize heterogeneity. The Rosetta team took on this challenge, exploiting advances in spatial-omics approaches centered around mass spectrometry imaging map at cellular and molecular scales different levels resolution.</p><p><a...

10.1158/2159-8290.c.7623370 preprint EN 2025-01-13

<p>Cancer Research UK Rosetta Grand Challenge consortium list of members</p>

10.1158/2159-8290.28193758 preprint EN cc-by 2025-01-13

<p>Cancer Research UK Rosetta Grand Challenge consortium list of members</p>

10.1158/2159-8290.28229000 preprint EN 2025-01-17

Abstract In September 2018, the National Cancer Institute (NCI) launched first phase of Human Tumor Atlas Network (HTAN) under U.S. Moonshot program with goal generating three-dimensional molecular and spatial atlases diverse human tumors characterizing crucial transitions in cancer progression treatment. With over 30 assay types including sequencing, imaging, transcriptomics spanning 58 cancers across 21 organ types, HTAN has delivered a substantial resource to broader research community...

10.1158/1538-7445.am2025-1076 article EN Cancer Research 2025-04-21

summary Simultaneous 3D articulograph and ultrasonograph techniques were used to monitor the chewing, swallowing, oral soft tissue tongue movements of six subjects whilst consuming varying numbers (1, 2 4) a confectionery product. Modifying number units had variable effect on swallowing during start chewing sequence. The distance, range velocity chin movement significantly lower when 1 unit was consumed compared with 4 middle stage Significant differences in modioli observed initial stages...

10.1111/j.1365-2842.2007.01756.x article EN Journal of Oral Rehabilitation 2007-07-23

Within drug development and pre-clinical trials, a common, significant poorly understood event is the of drug-induced lipidosis in tissues cells. In this manuscript, we describe mass spectrometry imaging strategy, involving repeated analysis tissue sections by DESI MS, positive negative polarities, using MS MS/MS modes. We present results detected distributions administered drug, metabolites, lipid molecules putative marker lipidosis, di-docosahexaenoyl (22:6)-bis(monoacylglycerol) phosphate...

10.1007/s00216-019-02151-z article EN cc-by Analytical and Bioanalytical Chemistry 2019-11-27
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