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Toshiyuki Tanaka on Muck Rack

Toshiyuki Tanaka

As seen in: Color Research & Application, Wiley, Wiley Online Library, arXiv, Frontiers, MDPI, Nikkei Asia, The Japan News, Yomiuri Shimbun, BioRxiv
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Articles

Computed Tomographic Findings of Eosinophilic Enteritis in Eight Cats: Case Series

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By Toshiyuki Tanaka, Hideo Akiyoshi, Hana Tsuruta, Koudai Furukawa
| Wiley Online Library Verified
CT computed tomography EE eosinophilic enteritis GI gastrointestinal GESF gastrointestinal eosinophilic sclerosing fibroplasia LA long-axis SA short-axis 1 Introduction In cats, eosinophilic enteritis (EE) is diagnosed when eosinophils are the predominant inflammatory cells on histopathology and no other triggers for the presence of eosinophils can be identified (Kleinschmidt et al. 2010; Griffin and Meunier 1990; Jergens 2012).
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Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study

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By Toshiyuki Tanaka, Tomoki Motegi, Nanami Sumikawa, Misaki Mori
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Leveraging Pretrained Deep Protein Language Model to Predict Peptide Collision Cross Section

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By Kosuke Ogata, Yasushi Ishihama, Toshiyuki Tanaka, Ayano Nakai-Kasai
| BioRxiv
Abstract Collision cross section (CCS) of peptide ions provides an important separation dimension in liquid chromatography/tandem mass spectrometry-based proteomics that incorporates ion mobility spectrometry (IMS), and its accurate prediction is the basis for advanced proteomics workflows. This paper describes novel experimental data and a novel prediction model for challenging CCS prediction tasks including longer peptides that tend to have higher charge states.
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