Katsunori Tanaka

Dr. Katsunori Tanaka


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Nature Catalysis
Verified
Journal Article
Closed access
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SEShohei Eda
Shohei Eda
INIgor Nasibullin
Igor Nasibullin
KVKenward Vong
Kenward Vong
NKNorio Kudo
Norio Kudo
MYMinoru Yoshida
Minoru Yoshida
KTKatsunori Tanaka
Katsunori Tanaka

15 February 2017 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
KTKazuki Tsubokura
Kazuki Tsubokura
KVKenward K. H. Vong
Kenward K. H. Vong
APAmbara R. Pradipta
Ambara R. Pradipta
AOAkihiro Ogura
Akihiro Ogura
SUSayaka Urano
Sayaka Urano
KTKatsunori Tanaka
Katsunori Tanaka

17 March 2020 in Advanced Science
Verified
Journal Article
Open access
PDF file
APAmbara R. Pradipta
Ambara R. Pradipta
TTTomonori Tanei
Tomonori Tanei
KMKoji Morimoto
Koji Morimoto
KSKenzo Shimazu
Kenzo Shimazu
SNShinzaburo Noguchi
Shinzaburo Noguchi
KTKatsunori Tanaka
Katsunori Tanaka
Clean surgical margins in breast‐conserving surgery (BCS) are essential for preventing recurrence. Intraoperative pathologic diagnostic methods, such as frozen section analysis and imprint cytology, have been recognized as crucial tools in BCS. However, the complexity and time‐consuming nature of these pathologic procedures still inhibit their broader applicability worldwide. To address this situation, two issues should be considered: 1) the development of nonpathologic intraoperative diagnosis methods that have better sensitivity, specificity, speed, and cost; and 2) the promotion of new imaging algorithms to standardize data for analyzing positive margins, as represented by artificial intelligence (AI), without the need for judgment by well‐trained pathologists. Researchers have attempted to develop new methods or techniques; several have recently emerged for real‐time intraoperative management of breast margins in live tissues. These methods include conventional imaging, spectroscopy, tomography, magnetic resonance imaging, microscopy, fluorescent probes, and multimodal imaging techniques. This work summarizes the traditional pathologic and newly developed techniques and discusses the advantages and disadvantages of each method. Taking into consideration the recent advances in analyzing pathologic data from breast cancer tissue with AI, the combined use of new technologies with AI algorithms is proposed, and future directions for real‐time intraoperative margin assessment in BCS are discussed.

17 December 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
KVKenward Vong
Kenward Vong
SEShohei Eda
Shohei Eda
YKYasuhiro Kadota
Yasuhiro Kadota
INIgor Nasibullin
Igor Nasibullin
TWTakanori Wakatake
Takanori Wakatake
KTKatsunori Tanaka
Katsunori Tanaka
Enzyme biosensors are useful tools that can monitor rapid changes in metabolite levels in real-time. However, current approaches are largely constrained to metabolites within a limited chemical space. With the rising development of artificial metalloenzymes (ArM), a unique opportunity exists to design biosensors from the ground-up for metabolites that are difficult to detect using current technologies. Here we present the design and development of the ArM ethylene probe (AEP), where an albumin scaffold is used to solubilize and protect a quenched ruthenium catalyst. In the presence of the phytohormone ethylene, cross metathesis can occur to produce fluorescence. The probe can be used to detect both exogenous- and endogenous-induced changes to ethylene biosynthesis in fruits and leaves. Overall, this work represents an example of an ArM biosensor, designed specifically for the spatial and temporal detection of a biological metabolite previously not accessible using enzyme biosensors.

14 March 2021 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
TCTsung‐Che Chang
Tsung‐Che Chang
KVKenward Vong
Kenward Vong
TYTomoya Yamamoto
Tomoya Yamamoto
KTKatsunori Tanaka
Katsunori Tanaka

10 January 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
INIgor Nasibullin
Igor Nasibullin
ISIvan Smirnov
Ivan Smirnov
PAPeni Ahmadi
Peni Ahmadi
KVKenward Vong
Kenward Vong
AKAlmira Kurbangalieva
Almira Kurbangalieva
KTKatsunori Tanaka
Katsunori Tanaka
Considering the intrinsic toxicities of transition metals, their incorporation into drug therapies must operate at minimal amounts while ensuring adequate catalytic activity within complex biological systems. As a way to address this issue, this study investigates the design of synthetic prodrugs that are not only tuned to be harmless, but can be robustly transformed in vivo to reach therapeutically relevant levels. To accomplish this, retrosynthetic prodrug design highlights the potential of naphthylcombretastatin-based prodrugs, which form highly active cytostatic agents via sequential ring-closing metathesis and aromatization. Structural adjustments will also be done to improve aspects related to catalytic reactivity, intrinsic bioactivity, and hydrolytic stability. The developed prodrug therapy is found to possess excellent anticancer activities in cell-based assays. Furthermore, in vivo activation by intravenously administered glycosylated artificial metalloenzymes can also induce significant reduction of implanted tumor growth in mice.