Hideto Mori, Ph.D.
Specially Appointed Associate Professor (Full-Time), Yachie laboratory,
Premium Research Institute for Human Metaverse Medicine (PRIMe), Osaka University
Research interests:
Bioinformatics tool development
Genetic logic circuit in living cells
Laboratory automation
E-mail: mori.hideto.prime[at]osaka-u.ac.jp, hideto7592[at]gmail.com
GitHub: https://github.com/ponnhide
Twitter: https://twitter.com/Morihideponn
Reddit: https://www.reddit.com/user/ponnhide
Qiita: https://qiita.com/ponnhide
Education
2023.03 Ph.D., Systems Biology Program, Keio University, Tokyo, Japan
2018.03 Master of Media and Governance, Systems Biology Program, Keio University, Tokyo, Japan
2016.03 Bachelor of Arts in Environment and Information, Keio University, Tokyo, Japan.
Work Experience
2023.04-Today Specially Appointed Associate Professor (Full-Time), Premium Research Institute for Human Metaverse Medicine (PRIMe), Osaka University
2021.04-2023.03 Research Assistant (TTCK Fellow), Institute for Advanced Biosciences, Keio University
2016.09-2021.03 Research Assistant, Research Center for Advanced Science and Technology, The University of Tokyo
2018.04-2020.03 Research Associate (Fixed term/Research incentive), Graduate School of Media and Governance, Keio University
2014.04-2018.03 Research Assistant (TTCK Fellow), Institute for Advanced Biosciences, Keio University
Research Experiences
2021-2023 Exploring the mechanism for species-specific fusion of male and female gametes.
@Ikawa laboratory, The Institute of Medical Science, The University of Tokyo2019-2021 Screening of new genome editing tools.
@Yachie laboratory, Research Center for Advanced Science and Technology, The University of Tokyo2019-2021 Development of a novel hierarchical DNA assembly method.
@Yachie laboratory, Research Center for Advanced Science and Technology, The University of Tokyo2016-Today Development of software tools to accelerate the development of genome editing tools and their applications.
@Yachie laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Premium Research Institute for Human Metaverse Medicine (PRIMe), Osaka University2016-2018 A software tool to screen new genome editing-associated gene candidates (https://github.com/yachielab/SPADE).
2018-Today A universal platform to analyze genome editing outcomes.
2018-2020 A machine learning model to predict base editing outcomes (https://github.com/yachielab/base-editing-prediction).
2020-Today A framework to efficiently describe and share reproducible DNA construction protocols. (https://github.com/yachielab/QUEEN)
2013-2016, Development of a web-based biological model simulation environment.
@Naito laboratory, Institute for Advanced Biosciences, Keio University
Publications
Selected articles
Mori H, Yachie N.
A framework to efficiently describe and share reproducible DNA materials and construction protocols.
Nature Communications. 2022 May 24;13(1):2894.
Sakata RC†, Ishiguro S†, Mori H†, Tanaka M, Tatsuno K, Ueda H, Yamamoto S, Seki M, Masuyama N, Nishida K, Nishimasu H, Arakawa K, Kondo A, Nureki O, Tomita M, Aburatani H, Yachie N.
Base editors for simultaneous introduction of C-to-T and A-to-G mutations.
Nature Biotechnology. 2020 Jul;38(7):865-869. Epub 2020 Jun 2.
†These authors equally contributed to this work.
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M, Yachie N.
Fast and global detection of periodic sequence repeats in large genomic resources.
Nucleic Acids Research. 2019 Jan 25;47(2):e8.
Preprints
Yamauchi-Ishikawa Y, Emori C, Mori H, Endo T, Kobayashi K, Watanabe Y, Sagara H, Nagata T, Motooka D, Ninomiya A, Ozawa M, Ikawa M
Age-associated aberrations of cumulus-oocyte interaction and microfilamentous structure in the zona pellucida decline female fertility
bioRxiv. 2023 Dec 30, doi:https://doi.org/10.1101/2023.12.30.573680Ishiguro S†, Ishida K†, Sakata RC†, Mori H, Takana M, King S, Bashth O, Ichiraku M, Masuyama N, Takimoto R, Kijima Y, Adel A, Toyoshima H, Seki M, Oh JH, Archambault AS, Nishida K, Kondo A, Kuhara S, Aburatani H, Klein Geltink RI, Takashima Y, Shakiba N, Yachie N.
A multi-kingdom genetic barcoding system for precise target clone isolation.
bioRxiv. 2023 Jan 19, doi: https://doi.org/10.1101/2023.01.18.524633
†These authors equally contributed to this work.
Peer-reviewed articles
Ozawa M, Mori H, Endo T, Ishikawa-Yamauchi Y, Motooka D, Emori C, & Ikawa M.
Age-related decline in spermatogenic activity accompanied with endothelial cell senescence in male mice.
iScience, 2023, 108456. https://doi.org/10.1016/j.isci.2023.108456 Hino T, Omura SN, Nakagawa R, Togashi T, Takeda SN, Hiramoto T, Tasaka S, Hirano H, Tokuyama T, Uosaki H, Ishiguro S, Kagieva M, Yamano H, Ozaki Y, Motooka D, Mori H, Kirita Y, Kise Y, Itoh Y, Matoba S, Aburatani H, Yachie N, Karvelis T, Siksnys V, Ohmori T, Hoshino A, Nureki O.
An AsCas12f-based compact genome-editing tool derived by deep mutational scanning and structural analysis.
Cell. 2023 Sep 22:S0092-8674(23)00963-7. doi: 10.1016/j.cell.2023.08.031.Oura S, Mori H, Ikawa M.
Genome editing in mice and its application to the study of spermatogenesis.
Gene and Genome Editing. 2022 Dec;3-4:100014. doi:10.1016/j.ggedit.2022.100014.Mori H, Yachie N.
A framework to efficiently describe and share reproducible DNA materials and construction protocols.
Nature Communications. 2022 May 24;13(1):2894. doi: 10.1038/s41467-022-30588-x. PMID: 35610233; PMCID: PMC9130275.Nakagawa R, Ishiguro S, Okazaki S, Mori H, Tanaka M, Aburatani H, Yachie N, Nishimasu H, Nureki O.
Engineered Campylobacter jejuni Cas9 variant with enhanced activity and broader targeting range.
Communications Biology. 2022 Mar 8;5(1):211. doi: 10.1038/s42003-022-03149-7. PMID: 35260779; PMCID:PMC8904486.Konno N, Kijima Y†, Watano K†, Ishiguro S†, Ono K, Tanaka M, Mori H, Masuyama N, Pratt D, Ideker T, Iwasaki W, Yachie N.
Deep distributed computing to reconstruct extremely large lineage trees.
Nature Biotechnology. 2022 Apr;40(4):566-575. doi: 10.1038/s41587-021-01111-2. Epub 2022 Jan 6. PMID:34992246.
†These authors equally contributed to this work.Fukushima T, Tanaka Y, Adachi K, Masuyama N, Tsuchiya A, Asada S, Ishiguro S, Mori H, Seki M, Yachie N, Goyama S, Kitamura T.
CRISPR/Cas9-mediated base-editing enables a chain reaction through sequential repair of sgRNA scaffold mutations.
Scientific Reports. 2021 Dec 13;11(1):23889. doi: 10.1038/s41598-021-02986-6. PMID: 34903756; PMCID: PMC8668876.Yamamuro T, Nakamura S, Yamano Y, Endo T, Yanagawa K, Tokumura A, Matsumura T, Kobayashi K, Mori H, Enokidani Y, Yoshida G, Imoto H, Kawabata T, Hamasaki M, Kuma A, Kuribayashi S, Takezawa K, Okada Y, Ozawa M, Fukuhara S, Shinohara T, Ikawa M, Yoshimori T.
Rubicon prevents autophagic degradation of GATA4 to promote Sertoli cell function.
PLoS Genetics. 2021 Aug 5;17(8):e1009688. doi: 10.1371/journal.pgen.1009688. PMID: 34351902; PMCID: PMC8341604.Sakata RC†, Ishiguro S†, Mori H†, Tanaka M, Tatsuno K, Ueda H, Yamamoto S, Seki M, Masuyama N, Nishida K, Nishimasu H, Arakawa K, Kondo A, Nureki O, Tomita M, Aburatani H, Yachie N.
Base editors for simultaneous introduction of C-to-T and A-to-G mutations.
Nature Biotechnology. 2020 Jul;38(7):865-869. doi: 10.1038/s41587-020-0509-0. Epub 2020 Jun 2. PMID: 32483365.
†These authors equally contributed to this work.Murai Y, Masuda T, Onuma Y, Evans-Yamamoto D, Takeuchi N, Mori H, Masuyama N, Ishiguro S, Yachie N, Arakawa K.
Complete Genome Sequence of Bacillus sp. Strain KH172YL63, Isolated from Deep-Sea Sediment.
Microbiology Resource Announcements. 2020 Apr 16;9(16):e00291-20. doi: 10.1128/MRA.00291-20. PMID: 32299884; PMCID: PMC7163022.Masuyama N†, Mori H†, Yachie N.
DNA barcodes evolve for high-resolution cell lineage tracing.
Current Opinion Chemical Biology. 2019 Oct;52:63-71. doi: 10.1016/j.cbpa.2019.05.014. Epub 2019 Jun 15. PMID: 31212208.
†These authors equally contributed to this work.Ishiguro S, Mori H, Yachie N.
DNA event recorders send past information of cells to the time of observation.
Current Opinion Chemical Biology. 2019 Oct;52:54-62. doi:10.1016/j.cbpa.2019.05.009. Epub 2019 Jun 11. PMID: 31200335.Evans-Yamamoto D, Takeuchi N, Masuda T, Murai Y, Onuma Y, Mori H, Masuyama N, Ishiguro S, Yachie N, Arakawa K.
Complete Genome Sequence of Psychrobacter sp. Strain KH172YL61, Isolated from Deep-Sea Sediments in the Nankai Trough, Japan.
Microbiology Resource Announcements. 2019 Apr 18;8(16):e00326-19. doi: 10.1128/MRA.00326-19. PMID: 31000557; PMCID: PMC6473151.Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M, Yachie N.
Fast and global detection of periodic sequence repeats in large genomic resources.
Nucleic Acids Research. 2019 Jan 25;47(2):e8. doi: 10.1093/nar/gky890. PMID: 30304510; PMCID: PMC6344855.Nishimasu H, Shi X, Ishiguro S, Gao L, Hirano S, Okazaki S, Noda T, Abudayyeh OO, Gootenberg JS, Mori H, Oura S, Holmes B, Tanaka M, Seki M, Hirano H, Aburatani H, Ishitani R, Ikawa M, Yachie N, Zhang F, Nureki O.
Engineered CRISPR-Cas9 nuclease with expanded targeting space.
Science. 2018 Sep 21;361(6408):1259-1262. doi: 10.1126/science.aas9129. Epub 2018 Aug 30. PMID: 30166441; PMCID: PMC6368452.Yachie, N., Robotic Biology Consortium (Mori H was involved in the IT group), & Natsume, T. Robotic Biology Consortium, Natsume T.
Robotic crowd biology with Maholo LabDroids.
Nature Biotechnology. 2017 Apr 11;35(4):310-312. doi: 10.1038/nbt.3758. PMID: 28398329.
Review articles (in Japanese)
坂田 莉奈 & 森 秀人 細胞プログラミング技法と治療応用③. 実験医学 37, 13, 2197-2202 (2019)
坂田 莉奈 & 森 秀人 細胞プログラミング技法と治療応用②. 実験医学 37, 10, 1838-1846 (2019)
坂田 莉奈 & 森 秀人 細胞プログラミング技法と治療応用①. 実験医学 37, 8, 1324-1333 (2019)
森 秀人 & 谷内江 望 新規ゲノム編集ツールを探索する. 月刊細胞 51, 3, 114-118 (2019)
森 秀人 DNAイベントレコーダーによって細胞の過去の状態を知る. 実験医学 37, 3 , 440-448 (2019)
森 秀人 & 石黒 宗 ウェットなデータストレージメディアとしてのDNA. 実験医学 37, 1, 106-112 (2019)
森 秀人. 谷内江 望(翻訳)Carvunis A-R & Ideker T. Siri of the cell. 〜生物学はiPhoneから何を学べるだろうか〜. 実験医学別冊 (2017)
Ph.D. thesis
Mori H., Computational tools to accelerate the development and application of genome editing technology. Keio University, 2023
Books
Yachie N, Masuyama N, Seki M, Yamamoto-Evans D, Ishiguro S, Mori H, Sakata R, Konno N, Matsuo H & Kijima Y.
“Augmented Biology—The Next X” (in Japanese) Edited by Yachie N (2021) Yodosha Co., Ltd., ISBN 978-4-7581-2252-8 SA
Chapter 1 Genome editing–a hub of new biotechnologies. Nozomu Yachie
Chapter 2 Tracing cell lineages. Nanami Masuyama
Chapter 3 Obtaining single-cell transcriptomic.Motoaki Seki
Chapter 4 Connecting technologies using DNA barcodes. Motoaki Seki
Chapter 5 Obtaining spatial information by DNA sequencing. Daniel Evans-Yamamoto
Chapter 6 Recording information in DNA. Hideto Mori
Chapter 7 Engineering cells acting like a memory device. Hideto Mori
Chapter 8 Constructing logic gates in a cell. Rina Sakata, Hideto Mori
Chapter 9 Molecular sensors using RNA.Rina Sakata, Hideto Mori
Chapter 10 Genetic circuits and cancer immunotherapy. Rina Sakata, Hideto Mori
Chapter 11 Evolutionary biology and developmental biology. Naoki Konno
Chapter 12 Biotechnologies inspired by evolutionary biology. Naoki Konno
Chapter 13 Integrating biological knowledge using network data. Hitoshi Matsuo
Chapter 14 Imaging technologies spatial distribution of biomolecules. Soh Ishiguro
Chapter 15 Cellular compartments and body structures. Yusuke Kijima, Soh Ishiguro
Chapter 16 Molecular recorders in biological systems–our next X. Nozomu Yachie
Talks
森 秀人. 新規ゲノム編集システムの開発にむけた汎用的ソフトウェア群の開発. 2019年度 医学研セミナー(招待公演), 東京都医学総合研究所, 2020年2月
Poster presentations
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M &Yachie N. SPADE for exploring periodic sequence repeats as potential genome editing modules, Frontiers in Genome Engineering 2019, Kobe, Japan, November 2019
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M &Yachie N. SPADE for exploring periodic sequence repeats as potential genome editing modules, The 20th International Conference on Systems Biology, Okinawa, Japan, November 2019
Mori H, Masuyama N, Evans-Yamamoto D, Ishiguro S, Sakata R, Nishimatsu H, Tomita M, Miyaoka Y, Nureki O, Hiroyuki A and Yachie N. DIAMOND: fully automated software to analyze amplicon sequencing data. Keystone Symposia Conference on Genome Engineering: From Mechanisms to Therapies, Victoria, Canada, February 2019
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M & Yachie N. Fast and global detection of periodic sequence repeats in large genomic resources. RECOMB Comparative Genomics 2018, Quebec, Canada, October 2018
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M &Yachie N. Exploration of periodically patterned DNA elements in genomic and metagenomic sequences. 12th International Workshop on Advanced Genomics, Tokyo Japan, June 2017
Fellowships
JSPS Research Fellowship for Young Scientist (DC2) from Japan Society for the Promotion of Science (April 2020 – Sep 2022).
Software tools
QUEEN is a framework to generate quinable and efficiently editable nucleotide sequence resources to resolve many current issues in building DNA. QUEEN enables to design a new DNA by using existing DNA resource files and records the construction process in an output file (GenBank file format). The GenBank files generated by QUEEN are able to regenerate the process codes that perfectly clone themselves and bequeath the design history to successive DNA constructs that recycle their partial resources. QUEEN-generated GenBank files are compatible with the existing DNA repository services and software.
Related articles:
Mori H, Yachie N. A framework to efficiently describe and share reproducible DNA materials and construction protocols. Nat Commun. 2022 May 24;13(1):2894. doi: 10.1038/s41467-022-30588-x.
SPADE is a software tool to explore various periodic repeat regions from large genomic and protein data resources in a high-throughput and unsupervised manner.
Related articles:
Mori H, Evans-Yamamoto D, Ishiguro S, Tomita M, Yachie N. Fast and global detection of periodic sequence repeats in large genomic resources. Nucleic Acids Res. 2019 Jan 25;47(2):e8.
Patchworklib is a universal composer of matplotlib-related plots (simple matplotlib plots, Seaborn plots (both axis-level and figure-level), and plotnine plots). This library is inspired by patchwork for ggplot2. As original patchwork, users can easily align matplotlib-related plots with only "/" and "|" operators.
sangerseq_viewer is a python package to automatically visualize Sanger sequencing results and the corresponding annotated sequence map.