鶴山竜昭
研究室紹介 京都大学医学部創薬医学
研究
現在の注力する分野
質量分析イメージングサンプル処理の最適化
シグナル伝達と遺伝子転写の活性化
形態特徴量分析と人工知能
生物物理/質量分析/病理学に関する論文
病理学(創薬医学）
Punyawatthananukool S, Matsuura R, Wongchang T, Katsurada N, Tsuruyama T, Tajima M, Enomoto Y, Kitamura T, Kawashima M, Toi M, Yamanoi K, Hamanishi J, Hisamori S, Obama K, Charoensawan V, Thumkeo D, Narumiya S.Prostaglandin E2-EP2/EP4 signaling induces immunosuppression in human cancer by impairing bioenergetics and ribosome biogenesis in immune cells.Nat Commun. 2024 Nov 1;15(1):9464. https://www.doi.org/10.1038/s41467-024-53706-3
AIの病理学応用
Yamaguchi S, Isokawa T, Mastusi N, Kamiura N*, Tsuruyama T*. Artificial Intelligence System for Diagnosing MALT lymphoma and Diffuse Large B cell Lymphoma Using ImageNet and H&E Stained Specimens. (co-correspondence) .
PNAS Nexus, pgaf137, https://doi.org/10.1093/pnasnexus/pgaf137.Published: 30 April 2025
生物物理
Taga M, Yoshida K, Yano S, Takahashi K, Kyoizumi S, Sasatani M, Suzuki K, Ogawa T, Kusunoki Y, Tsuruyama T.Hepatic Stellate Cell-mediated Increase in CCL5 Chemokine Expression after X-ray Irradiation Determined In Vitro and In Vivo. 放射線誘導肝炎の病理分析
Radiat Res. 2024 Dec 1;202(6):862-869. https://doi.org/10.1667/RADE-23-00127.1
Masataka Taga, Go Kobayashi, Shiho YanoKazuaki KoyamaTatsuaki TsuruyamaAssessing Onsager’s reciprocity difference in signal transduction cascade model: a new metric for evaluating cellular response dynamics European Physical journal plus 2024ストレス応答の病理学と生物物理学
https://www.doi.org/10.1140/epjp/s13360-024-05400-y
Tsuruyama T. Harnessing Information Thermodynamics: Conversion of DNA Information into MechanicalWork in RNA Transcription and
Nanopore Sequencing. Entropy 2024, 26, 324.(RNAポリメラーゼ、ナノポアシークエンシングの情報熱力学解釈の試み） https://doi.org/10.3390/e26040324
Tsuruyama T, Hiratsuka T,Biophysical model for DNA mutations induced by retroviral genome insertion based on the probability density function of mutation distribution. Eur. Phys. J. Plus (2023) 138:996（レトロウイルス挿入変異におけるウイルスDNA複合体の粒子ー波動二重性：Paticle-wave duality in retroviral insertion） https://doi.org/10.1140/epjp/s13360-023-04574-1
Tsuruyama T.Channel capacity: limitation of entropy rate during cell signal transduction
Eur. Phys. J. Plus (2023) 138:665. （シグナル伝達量の最大量の理論的導出）
Tsuruyama T. RNA polymerase is a unique Maxwell’s demon that converts its transcribing genetic information to free energy for its movementEur. Phys. J. Plus (2023) 138:604 https://doi.org/10.1140/epjp/s13360-023-04191-y（RNA転写における情報熱力学）
Tsuruyama T. Thermodynamics of signal transduction systems and fluctuation theorem in a signal cascade. The European Physical Journal Plus (2023) 138: 269 (2023).(ゆらぎ定理のシグナル伝達分析応用）
Tsuruyama T. Kullback-Leibler Divergence of an Open-Queuing Network of a Cell-Signal-Transduction Cascade.
Entropy (Basel). 2023 Feb 10;25(2):326. doi: 10.3390/e25020326.PMID: 36832692 (待ち行列理論のシグナル伝達応用）
Tsuruyama T. Critical Factors of Infection Wavy Curve Oscillation of COVID-19 and Future Predictions in Japan
Tsuruyama T. Nonlinear model of infection wavy oscillation of COVID-19 in Japan based on diffusion kinetics. Tsuruyama T. Sci Rep. 2022 Nov 10;12(1):19177. （コロナ感染症伝播モデル）
Tsuruyama T. Non-equilibrium thermodynamics of biological signal transduction predicts conservation of entropy production rate. J Theor Biol. 2019 Jul 7;472:84-87.(シグナル伝達）
Tsuruyama T. Entropy in Cell Biology: Information Thermodynamics of a Binary Code and Szilard Engine Chain Model of Signal Transduction. Entropy (Basel). 2018 Aug 19;20(8):617.(シグナル伝達）
Entropy Section Board Member
https://www.mdpi.com/journal/entropy/sectioneditors/entropy_biology?page_no=2
Editorial Board for section 'Entropy and Biology'
Interests: molecular pathology; signal transduction
質量分析
Kobayashi G, Ito R, Taga M, Koyama K, Yano S, Endo T, Kai T, Yamamoto T, Hiratsuka T, Tsuruyama T.
Proteomic profiling of FFPE specimens: Discovery of HNRNPA2/B1 and STT3B as biomarkers for determining formalin fixation durations..J Proteomics. 2024 Jun 15;301:105196. doi: 10.1016/j.jprot.2024.105196. Epub 2024 May 8.
（FFPE標本の固定条件）
Hiratsuka T, Yoshizawa A, Endo T, Yamamoto T, Toyokuni T, Tsuruyama T.
FFPE Proteomics of Malignant Mesothelioma and New Candidate Biomarkers Thioredoxin and Superoxide Dismutase 2 for Immunohistochemistry.
Lab Invest. 2024 Feb;104(2):100299. doi: 10.1016/j.labinv.2023.100299.
（悪性中皮腫のプロテオミクス、バイオマーカーとしてのSOD2, Thioredoxin）
Proteome analysis of CD5-positive diffuse large B cell lymphoma FFPE tissue reveals downregulation of DDX3X, DNAJB1, and B cell receptor signaling pathway proteins including BTK and Immunoglobulins Hiratsuka T, Tsuruyama T. et al
Clinical proteomics 2023 Sep 13; 36 (2023). (悪性リンパ腫のプロテオミクス分析）
Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours. Hiratsuka T, Tsuruyama T. et al Sci Rep. 2020 Apr 1;10(1):5757. (多型膠芽腫の質量分析メージング）
Region of Interest analysis using mass spectrometry imaging of mitochondrial and sarcomeric proteins in acute cardiac infarction tissue.Yajima Y, Hiratsuka T, Kakimoto Y, Ogawa S, Shima K, Yamazaki Y, Yoshikawa K, Tamaki K, Tsuruyama T.
Sci Rep. 2018 May 10;8(1):7493.(心筋梗塞の質量分析メージング）
Increase of MZB1 in B cells in systemic lupus erythematosus: proteomic analysis of biopsied lymph nodes.Miyagawa-Hayashino A, Yoshifuji H, Kitagori K, Ito S, Oku T, Hirayama Y, Salah A, Nakajima T, Kiso K, Yamada N, Haga H, Tsuruyama T.
Arthritis Res Ther. 2018 Jan 30;20(1):13. (SLE試料の質量分析)
Sorbin and SH3 domain-containing protein 2 is released from infarcted heart in the very early phase: proteomic analysis of cardiac tissues from patients. Kakimoto Y, Ito S, Abiru H, Kotani H, Ozeki M, Tamaki K, Tsuruyama T.
J Am Heart Assoc. 2013 Dec 16;2(6):e000565.（心筋梗塞組織の質量分析によるバイオマーカーSORBS2）
Novel in situ pretreatment method for significantly enhancing the signal in MALDI-TOF MS of formalin-fixed paraffin-embedded tissue sections.
（大腸がん組織の質量分析）
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