Personnel Information

写真a

NIKAIDO Itoshi


Job title

Professor

Homepage URL

https://bit.riken.jp/

Research Areas, Keywords

Bioinformatics, Genomics

Graduate School 【 display / non-display

  • Yokohama City University, Science of Biological Supramolecular Systems, Doctor's Course, 2004.03, Completed

Campus Career 【 display / non-display

  • 2020.04
    -
    2022.04
    Tokyo Medical and Dental University, Medical Research Institute, Medical Genomics, Department of Functional Genome Informatics, Professor
  • 2020.04
    -
    Now
    Tokyo Medical and Dental University, Graduate School of Medical and Dental Sciences, Biomedical Sciences and Engineering, Division of Integrative Molecular Biomedicine, Department of Functional Genome Informatics, Professor
  • 2022.05
    -
    Now
    Tokyo Medical and Dental University, Medical Research Institute, Division of Biological Data Science, Department of Functional Genome Informatics, Professor

External Career 【 display / non-display

  • 2004.04
    -
    2006.05
    Research Center for Genomic Medicine, Saitama Medical School, Division of Functional Genomics & Systems Medicine, Research Scientist
  • 2006.06
    -
    2013.03
    RIKEN Center for Developmental Biology, Functional Genomic Unit, Research Scientist
  • 2013.04
    -
    2018.03
    RIKEN Advanced Center for Computing and Communication, Bioinformatics Research Unit, Unit Leader
  • 2017.06
    -
    2018.03
    RIKEN Center for Developmental Biology, Single-cell Omics Unit, Unit Leader
  • 2018.04
    -
    2019.03
    RIKEN Center for Biosystems Dynamics Research, Laboratory for Bioinformatics Research, Unit Leader
  • 2018.06
    -
    2020.03
    Master's/Doctoral Program in Life Science Innovation (T-LSI), School of Integrative and Global Majors (SIGMA), University of Tsukuba, Bioinformatics Course, Professor (Collaborative Graduate School Program)
  • 2019.04
    -
    Now
    RIKEN Center for Biosystems Dynamics Research, Laboratory for Bioinformatics Research, Team Leader
  • 2020.04
    -
    Now
    Graduate School of Science and Technology, University of Tsukuba, Master's/Doctoral Program in Life Science Innovation (Bioinformatics), Degree Programs in Systems and Information Engineering, Professor (Collaborative Graduate School Program)
  • 2020.04
    -
    Now
    Medical Research Institute, Tokyo Medical and Dental University, Functional Genome Informatics, Medical Genomics, Professor

▼display all

Academic Society Affiliations 【 display / non-display

  • The Molecular Biology Society of Japan

  • The Japanese Society for Regenerative Medicine

  • The Molecular Biology Society of Japan

  • The Japanese Society for Regenerative Medicine

Research Areas 【 display / non-display

  • System genome science

  • System genome science

  • Genome biology

 

Research Theme 【 display / non-display

  • Development of comprehensive cell type census technology for adaptive neuronal circuits, 2021.09 - 2026.03

Published Papers & Misc 【 display / non-display

  1. Tsuyuzaki K, Ishii M, Nikaido I. Sctensor detects many-to-many cell-cell interactions from single cell RNA-sequencing data. BMC bioinformatics. 2023.11; 24 (1): 420. ( PubMed, DOI )

  2. Shima, Y; Skibbe, H; Sasagawa, Y; Fujimori, N; Iwayama, Y; Isomura-Matoba, A; Yano, M; Ichikawa, T; Nikaido, I; Hattori, N; Kato, T. Distinctiveness and continuity in transcriptome and connectivity in the anterior-posterior axis of the paraventricular nucleus of the thalamus CELL REPORTS. 2023.10; 42 (10): 113309. ( PubMed, DOI )

  3. Ogura N, Sasagawa Y, Ito T, Tameshige T, Kawai S, Sano M, Doll Y, Iwase A, Kawamura A, Suzuki T, Nikaido I, Sugimoto K, Ikeuchi M. WUSCHEL-RELATED HOMEOBOX 13 suppresses de novo shoot regeneration via cell fate control of pluripotent callus. Science advances. 2023.07; 9 (27): eadg6983. ( PubMed, DOI )

  4. Takada H, Sasagawa Y, Yoshimura M, Tanaka K, Iwayama Y, Hayashi T, Isomura-Matoba A, Nikaido I, Kurisaki A. Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis. Nature communications. 2023.06; 14 (1): 3750. ( PubMed, DOI )

  5. Tsuyuzaki Koki, Yamamoto Kentaro, Toyoshima Yu, Sato Hirofumi, Kanamori Manami, Teramoto Takayuki, Ishihara Takeshi, Iino Yuichi, Nikaido Itoshi. WormTensor: a clustering method for time-series whole-brain activity data from C. elegans BMC BIOINFORMATICS. 2023.06; 24 (1): 254. ( PubMed, DOI )

  6. nnTensor: An R package for non-negative matrix/tensor decomposition. 2023.04; ( DOI )

  7. Wibisana Johannes N., Inaba Takehiko, Shinohara Hisaaki, Yumoto Noriko, Hayashi Tetsutaro, Umeda Mana, Ebisawa Masashi, Nikaido Itoshi, Sako Yasushi, Okada Mariko. Enhanced transcriptional heterogeneity mediated by NF-kappa B super-enhancers PLOS GENETICS. 2022.06; 18 (6): e1010235. ( PubMed, DOI )

  8. Herbig Maik, Isozaki Akihiro, Di Carlo Dino, Guck Jochen, Nitta Nao, Damoiseaux Robert, Kamikawaji Shogo, Suyama Eigo, Shintaku Hirofumi, Wu Angela Ruohao, Nikaido Itoshi, Goda Keisuke. Best practices for reporting throughput in biomedical research NATURE METHODS. 2022.06; 19 (6): 633-634. ( PubMed, DOI )

  9. Yasuyuki Shima, Henrik Skibbe, Yohei Sasagawa, Noriko Fujimori, Itoshi Nikaido, Nobutaka Hattori, Tadafumi Kato. Distinctiveness and continuity in transcriptome and connectivity in the anterior-posterior axis of the paraventricular nucleus of thalamus bioRxiv (preprint). 2022.02; ( DOI )

  10. Mishina Tappei, Tabata Namine, Hayashi Tetsutaro, Yoshimura Mika, Umeda Mana, Mori Masashi, Ikawa Yayoi, Hamada Hiroshi, Nikaido Itoshi, Kitajima Tomoya S.. Single-oocyte transcriptome analysis reveals aging-associated effects influenced by life stage and calorie restriction AGING CELL. 2021.07; e13428. ( PubMed, DOI )

  11. Ishihara S, Sasagawa Y, Kameda T, Yamashita H, Umeda M, Kotomura N, Abe M, Shimono Y, Nikaido I. Local states of chromatin compaction at transcription start sites control transcription levels. Nucleic acids research. 2021.07; ( PubMed, DOI )

  12. Yamada A, Hirasawa T, Nishimura K, Shimura C, Kogo N, Fukuda K, Kato M, Yokomori M, Hayashi T, Umeda M, Yoshimura M, Iwakura Y, Nikaido I, Itohara S, Shinkai Y. Derepression of inflammation-related genes link to microglia activation and neural maturation defect in a mouse model of Kleefstra syndrome. iScience. 2021.07; 24 (7): 102741. ( PubMed, DOI )

  13. Morita Ritsuko, Sanzen Noriko, Sasaki Hiroko, Hayashi Tetsutaro, Umeda Mana, Yoshimura Mika, Yamamoto Takaki, Shibata Tatsuo, Abe Takaya, Kiyonari Hiroshi, Furuta Yasuhide, Nikaido Itoshi, Fujiwara Hironobu. Tracing the origin of hair follicle stem cells NATURE. 2021.06; ( DOI )

  14. 二階堂 愛. High-throughput Transcriptome Analysis for Building Cell Atlas(和訳中) 日本循環器学会学術集会抄録集. 2021.03; 85回 ME08-4. ( ichushi )

  15. Sawada Tomoyo, Chater Thomas E., Sasagawa Yohei, Yoshimura Mika, Fujimori-Tonou Noriko, Tanaka Kaori, Benjamin Kynon J. M., Paquola Apua C. M., Erwin Jennifer A., Goda Yukiko, Nikaido Itoshi, Kato Tadafumi. Developmental excitation-inhibition imbalance underlying psychoses revealed by single-cell analyses of discordant twins-derived cerebral organoids MOLECULAR PSYCHIATRY. 2020.08; 25 (11): 2695-2711. ( PubMed, DOI )

  16. Mereu Elisabetta, Lafzi Atefeh, Moutinho Catia, Ziegenhain Christoph, McCarthy Davis J., Alvarez-Varela Adrian, Batlle Eduard, Sagar, Gruen Dominic, Lau Julia K., Boutet Stephane C., Sanada Chad, Ooi Aik, Jones Robert C., Kaihara Kelly, Brampton Chris, Talaga Yasha, Sasagawa Yohei, Tanaka Kaori, Hayashi Tetsutaro, Braeuning Caroline, Fischer Cornelius, Sauers Sascha, Trefzer Timo, Conrad Christian, Adiconis Xian, Nguyen Lan T., Regev Aviv, Levin Joshua Z., Parekh Swati, Janjic Aleksandar, Wange Lucas E., Bagnoli Johannes W., Enard Wolfgang, Gut Marta, Sandberg Rickard, Nikaido Itoshi, Gut Ivo, Stegle Oliver, Heyn Holger. Benchmarking single-cell RNA-sequencing protocols for cell atlas projects NATURE BIOTECHNOLOGY. 2020.06; 38 (6): 747-+. ( PubMed, DOI )

  17. Ochiai Hiroshi, Hayashi Tetsutaro, Umeda Mana, Yoshimura Mika, Harada Akihito, Shimizu Yukiko, Nakano Kenta, Saitoh Noriko, Liu Zhe, Yamamoto Takashi, Okamura Tadashi, Ohkawa Yasuyuki, Kimura Hiroshi, Nikaido Itoshi. Genome-wide kinetic properties of transcriptional bursting in mouse embryonic stem cells SCIENCE ADVANCES. 2020.06; 6 (25): eaaz6699. ( PubMed, DOI )

  18. Shiozawa Seiji, Nakajima Mayutaka, Okahara Junko, Kuortaki Yoko, Kisa Fumihiko, Yoshimatsu Sho, Nakamura Mari, Koya Ikuko, Yoshimura Mika, Sasagawa Yohei, Nikaido Itoshi, Sasaki Erika, Okano Hideyuki. Primed to Naive-Like Conversion of the Common Marmoset Embryonic Stem Cells STEM CELLS AND DEVELOPMENT. 2020.06; 29 (12): 761-773. ( PubMed, DOI )

  19. Michida Hiroki, Imoto Hiroaki, Shinohara Hisaaki, Yumoto Noriko, Seki Masahide, Umeda Mana, Hayashi Tetsutaro, Nikaido Itoshi, Kasukawa Takeya, Suzuki Yutaka, Okada-Hatakeyama Mariko. The Number of Transcription Factors at an Enhancer Determines Switch-like Gene Expression CELL REPORTS. 2020.06; 31 (9): 107724. ( PubMed, DOI )

  20. Ozaki Haruka, Hayashi Tetsutaro, Umeda Mana, Nikaido Itoshi. Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets BMC GENOMICS. 2020.03; 21 (1): 177. ( PubMed, DOI )

  21. Matsumoto H, Hayashi T, Ozaki H, Tsuyuzaki K, Umeda M, Iida T, Nakamura M, Okano H, Nikaido I. An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data. NAR genomics and bioinformatics. 2020.03; 2 (1): lqz020. ( PubMed, DOI )

  22. Tsuyuzaki Koki, Sato Hiroyuki, Sato Kenta, Nikaido Itoshi. Benchmarking principal component analysis for large-scale single-cell RNA-sequencing GENOME BIOLOGY. 2020.01; 21 (1): 9. ( PubMed, DOI )

  23. Okumura Akinori, Hayashi Tetsutaro, Ebisawa Masashi, Yoshimura Mika, Sasagawa Yohei, Nikaido Itoshi, Umesono Yoshihiko, Mochii Makoto. Cell type-specific transcriptome analysis unveils secreted signaling molecule genes expressed in apical epithelial cap during appendage regeneration DEVELOPMENT GROWTH & DIFFERENTIATION. 2019.12; 61 (9): 447-456. ( PubMed, DOI )

  24. Hirotaka Matsumoto, Tetsutaro Hayashi, Haruka Ozaki, Koki Tsuyuzaki, Mana Umeda, Tsuyoshi Iida, Masaya Nakamura, Hideyuki Okano, Itoshi Nikaido. A NMF based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq NAR Genomics and Bioinformatics. 2019.12; 2 (1): lqz020.

  25. Sato Kenta, Tsuyuzaki Koki, Shimizu Kentaro, Nikaido Itoshi. CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing GENOME BIOLOGY. 2019.02; 20 (1): 31. ( PubMed, DOI )

  26. Sasagawa Yohei, Hayashi Tetsutaro, Nikaido Itoshi. Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods SINGLE MOLECULE AND SINGLE CELL SEQUENCING. 2019; 1129 1-17. ( PubMed, DOI )

  27. 加藤 忠史, 澤田 知世, チェイター・トーマス , 笹川 洋平, 芳村 美佳, 藤森 典子, 田中 かおり, 合田 裕紀子, 二階堂 愛. iPS細胞を用いた精神・神経疾患研究の現状:創薬への期待 統合失調感情障害双極型に関して不一致な一卵性双生児におけるiPS細胞由来神経細胞および脳オーガノイドの表現型差異(Current status of research on neuropsychiatric disorders using iPS cells: potentiol for drug development Phenotypic discordance of iPS cells-derived neurons/cerebral organoids between monozygotic twins discordant for schizoaffective bipolar disorder) 日本臨床精神神経薬理学会・日本神経精神薬理学会合同年会プログラム・抄録集. 2018.11; 28回・48回 124. ( ichushi )

  28. Sasagawa Yohei, Danno Hiroki, Takada Hitomi, Ebisawa Masashi, Tanaka Kaori, Hayashi Tetsutaro, Kurisaki Akira, Nikaido Itoshi. Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads GENOME BIOLOGY. 2018.03; 19 (1): 29. ( PubMed, DOI )

  29. Hayashi Tetsutaro, Ozaki Haruka, Sasagawa Yohei, Umeda Mana, Danno Hiroki, Nikaido Itoshi. Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs NATURE COMMUNICATIONS. 2018.02; 9 (1): 619. ( PubMed, DOI )

  30. Chai MuhChyi, Sanosaka Tsukasa, Okuno Hironobu, Zhou Zhi, Koya Ikuko, Banno Satoe, Andoh-Noda Tomoko, Tabata Yoshikuni, Shimamura Rieko, Hayashi Tetsutaro, Ebisawa Masashi, Sasagawa Yohei, Nikaido Itoshi, Okano Hideyuki, Kohyama Jun. Chromatin remodeler CHD7 regulates the stem cell identity of human neural progenitors GENES & DEVELOPMENT. 2018.01; 32 (2): 165-180. ( PubMed, DOI )

  31. Kobayashi Hideki, Nagahama Takahiko, Arai Wataru, Sasagawa Yohei, Umeda Mana, Hayashi Tetsutaro, Nikaido Itoshi, Watanabe Hiromi, Oguri Kazumasa, Kitazato Hiroshi, Fujioka Kantaro, Kido Yukari, Takami Hideto. Polysaccharide hydrolase of the hadal zone amphipods Hirondellea gigas BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY. 2018; 82 (7): 1123-1133. ( PubMed, DOI )

  32. Tsuyuzaki K, Nikaido I. Biological Systems as Heterogeneous Information Networks: A Mini-review and Perspectives HeteroNAM’18. WSDM2018. 2018;

  33. Tsuyuzaki K, Nikaido I. Biological Systems as Heterogeneous Information Networks: A Mini-review and Perspectives HeteroNAM’18. WSDM2018. 2018;

  34. 森田 梨津子, 三千 典子, 林 哲太郎, 梅田 茉奈, 芳村 美佳, 二階堂 愛, 阿部 高也, 清成 寛, 古田 泰秀, 藤原 裕展. 毛包幹細胞の起源と誘導メカニズムの解明 生命科学系学会合同年次大会. 2017.12; 2017年度 [4P2T16-0817)].

  35. Matsumoto Hirotaka, Kiryu Hisanori, Furusawa Chikara, Ko Minoru S. H., Ko Shigeru B. H., Gouda Norio, Hayashi Tetsutaro, Nikaido Itoshi. SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation BIOINFORMATICS. 2017.08; 33 (15): 2314-2321. ( PubMed, DOI )

  36. Sasagawa Yohei, Nikaido Itoshi, Hayashi Tetsutaro, Danno Hiroki, Uno Kenichiro D., Imai Takeshi, Ueda Hiroki R.. Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity (vol 14, R31, 2013) GENOME BIOLOGY. 2017.01; 18 (1): 9. ( PubMed, DOI )

  37. 小杉 孝嗣, 笹川 洋平, 渡辺 直子, 二階堂 愛. 転写ネットワーク変化を網羅的に同定するシークエンス技術の開発 日本生化学会大会・日本分子生物学会年会合同大会講演要旨集. 2015.12; 88回・38回 [3P0819].

  38. G. Morota, F. Penagaricano, J. L. Petersen, D. C. Ciobanu, K. Tsuyuzaki, I. Nikaido. An application of MeSH enrichment analysis in livestock ANIMAL GENETICS. 2015.08; 46 (4): 381-387. ( PubMed, DOI )

  39. Koki Tsuyuzaki, Gota Morota, Manabu Ishii, Takeru Nakazato, Satoru Miyazaki, Itoshi Nikaido. MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis BMC BIOINFORMATICS. 2015.02; 16 45. ( PubMed, DOI )

  40. Kenjiro Adachi, Itoshi Nikaido, Hiroshi Ohta, Satoshi Ohtsuka, Hiroki Ura, Mitsutaka Kadota, Teruhiko Wakayama, Hiroki R. Ueda, Hitoshi Niwa. Context-Dependent Wiring of Sox2 Regulatory Networks for Self-Renewal of Embryonic and Trophoblast Stem Cells MOLECULAR CELL. 2013.11; 52 (3): 380-392. ( PubMed, DOI )

  41. Yohei Sasagawa, Itoshi Nikaido, Tetsutaro Hayashi, Hiroki Danno, Kenichiro D. Uno, Takeshi Imai, Hiroki R Ueda. Quartz-Seq: A highly reproducible and sensitive single-cell RNA sequencing method, reveals nongenetic gene-expression heterogeneity Genome Biology. 2013.04; 14 (4): R31. ( PubMed, DOI )

  42. Nobuo Yoshimoto, Akiko Kida, Xu Jie, Masaya Kurokawa, Masumi Iijima, Tomoaki Niimi, Andres D. Maturana, Itoshi Nikaido, Hiroki R. Ueda, Kenji Tatematsu, Katsuyuki Tanizawa, Akihiko Kondo, Ikuo Fujii, Shun'ichi Kuroda. An automated system for high-throughput single cell-based breeding SCIENTIFIC REPORTS. 2013.02; 3 1191. ( PubMed, DOI )

  43. Yuko Okamura-Oho, Kazuro Shimokawa, Satoko Takemoto, Asami Hirakiyama, Sakiko Nakamura, Yuki Tsujimura, Masaomi Nishimura, Takeya Kasukawa, Koh-hei Masumoto, Itoshi Nikaido, Yasufumi Shigeyoshi, Hiroki R. Ueda, Gang Song, James Gee, Ryutaro Himeno, Hideo Yokota. Transcriptome Tomography for Brain Analysis in the Web-Accessible Anatomical Space PLOS ONE. 2012.09; 7 (9): e45373. ( PubMed, DOI )

  44. Takeya Kasukawa, Koh-hei Masumoto, Itoshi Nikaido, Mamoru Nagano, Kenichiro D. Uno, Kaori Tsujino, Carina Hanashima, Yasufumi Shigeyoshi, Hiroki R. Ueda. Quantitative Expression Profile of Distinct Functional Regions in the Adult Mouse Brain PLOS ONE. 2011.08; 6 (8): e23228. ( PubMed, DOI )

  45. Yoshimi Tokuzawa, Ken Yagi, Yzumi Yamashita, Yutaka Nakachi, Itoshi Nikaido, Hidemasa Bono, Yuichi Ninomiya, Yukiko Kanesaki-Yatsuka, Masumi Akita, Hiromi Motegi, Shigeharu Wakana, Tetsuo Noda, Fred Sablitzky, Shigeki Arai, Riki Kurokawa, Toru Fukuda, Takenobu Katagiri, Christian Schoenbach, Tatsuo Suda, Yosuke Mizuno, Yasushi Okazaki. Id4, a New Candidate Gene for Senile Osteoporosis, Acts as a Molecular Switch Promoting Osteoblast Differentiation PLOS GENETICS. 2010.07; 6 (7): e1001019. ( PubMed, DOI )

  46. Keiichiro Suzuki, Fumi Ohbayashi, Itoshi Nikaido, Akihiko Okuda, Haruyoshi Takaki, Yasushi Okazaki, Kohnosuke Mitani. Integration of exogenous DNA into mouse embryonic stem cell chromosomes shows preference into genes and frequent modification at junctions CHROMOSOME RESEARCH. 2010.02; 18 (2): 191-201. ( PubMed, DOI )

  47. Yutaka Nakachi, Ken Yagi, Itoshi Nikaido, Hidemasa Bono, Mio Tonouchi, Christian Schonbach, Yasushi Okazaki. Identification of novel PPAR gamma target genes by integrated analysis of ChIP-on-chip and microarray expression data during adipocyte differentiation BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS. 2008.07; 372 (2): 362-366. ( DOI )

  48. Nikaido, I, C Saito, A Wakamoto, Y Tomaru, T Arakawa, Y Hayashizaki, Y Okazaki. EICO (Expression-based Imprint Candidate Organizer): finding disease-related imprinted genes NUCLEIC ACIDS RESEARCH. 2004.01; 32 D548-D551. ( PubMed, DOI )

  49. H Bono, K Yagi, T Kasukawa, Nikaido, I, N Tominaga, R Miki, Y Mizuno, Y Tomaru, H Goto, H Nitanda, D Shimizu, H Makino, T Morita, J Fujiyama, T Sakai, T Shimoji, DA Hume, Y Hayashizaki, Y Okazaki. Systematic expression profiling of the mouse transcriptome using RIKEN cDNA microarrays GENOME RESEARCH. 2003.06; 13 (6B): 1318-1323. ( PubMed, DOI )

  50. L Nikaido, C Saito, Y Mizuno, M Meguro, H Bono, M Kadomura, T Kono, GA Morris, PA Lyons, M Oshimura, Y Hayashizaki, Y Okazaki. Discovery of imprinted transcripts in the mouse transcriptome using large-scale expression profiling GENOME RESEARCH. 2003.06; 13 (6B): 1402-1409. ( PubMed, DOI )

  51. Hidemasa Bono, Itoshi Nikaido, Takeya Kasukawa, Takahiro Arakawa, Piero Carninci, Jun Kawai, Yoshihide Hayashizaki, Yasushi Okazaki. Comprehensive analysis of the mouse metabolone based on the transcriptome Genome Research. 2003.06; 13 (6 B): 1345-1349. ( PubMed, DOI )

  52. Y Okazaki, M Furuno, T Kasukawa, J Adachi, H Bono, S Kondo, Nikaido, I, N Osato, R Saito, H Suzuki, Yamanaka, I, H Kiyosawa, K Yagi, Y Tomaru, Y Hasegawa, A Nogami, C Schonbach, T Gojobori, R Baldarelli, DP Hill, C Bult, DA Hume, J Quackenbush, LM Schriml, A Kanapin, H Matsuda, S Batalov, KW Beisel, JA Blake, D Bradt, Brusic, V, C Chothia, LE Corbani, S Cousins, E Dalla, TA Dragani, CF Fletcher, A Forrest, KS Frazer, T Gaasterland, M Gariboldi, C Gissi, A Godzik, J Gough, S Grimmond, S Gustincich, N Hirokawa, IJ Jackson, ED Jarvis, A Kanai, H Kawaji, Y Kawasawa, RM Kedzierski, BL King, A Konagaya, Kurochkin, IV, Y Lee, B Lenhard, PA Lyons, DR Maglott, L Maltais, L Marchionni, L McKenzie, H Miki, T Nagashima, K Numata, T Okido, WJ Pavan, G Pertea, G Pesole, N Petrovsky, R Pillai, JU Pontius, D Qi, S Ramachandran, T Ravasi, JC Reed, DJ Reed, J Reid, BZ Ring, M Ringwald, A Sandelin, C Schneider, CAM Semple, M Setou, K Shimada, R Sultana, Y Takenaka, MS Taylor, RD Teasdale, M Tomita, R Verardo, L Wagner, C Wahlestedt, Y Wang, Y Watanabe, C Wells, LG Wilming, A Wynshaw-Boris, M Yanagisawa, Yang, I, L Yang, Z Yuan, M Zavolan, Y Zhu, A Zimmer, P Carninci, N Hayatsu, T Hirozane-Kishikawa, H Konno, M Nakamura, N Sakazume, K Sato, T Shiraki, K Waki, J Kawai, K Aizawa, T Arakawa, S Fukuda, A Hara, W Hashizume, K Imotani, Y Ishii, M Itoh, Kagawa, I, A Miyazaki, K Sakai, D Sasaki, K Shibata, A Shinagawa, A Yasunishi, M Yoshino, R Waterston, ES Lander, J Rogers, E Birney, Y Hayashizaki. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs NATURE. 2002.12; 420 (6915): 563-573. ( PubMed, DOI )

  53. Y Mizuno, Y Sotomaru, Y Katsuzawa, T Kono, M Meguro, M Oshimura, J Kawai, Y Tomaru, H Kiyosawa, Nikaido, I, H Amanuma, Y Hayashizaki, Y Okazaki. Asb4, Ata3, and Dcn are novel imprinted genes identified by high-throughput screening using RIKEN cDNA microarray BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS. 2002.02; 290 (5): 1499-1505. ( PubMed, DOI )

  54. J Kawai, A Shinagawa, K Shibata, M Yoshino, M Itoh, Y Ishii, T Arakawa, A Hara, Y Fukunishi, H Konno, J Adachi, S Fukuda, K Aizawa, M Izawa, K Nishi, H Kiyosawa, S Kondo, Yamanaka, I, T Saito, Y Okazaki, T Gojobori, H Bono, T Kasukawa, R Saito, K Kadota, H Matsuda, M Ashburner, S Batalov, T Casavant, W Fleischmann, T Gaasterland, C Gissi, B King, H Kochiwa, P Kuehl, S Lewis, Y Matsuo, Nikaido, I, G Pesole, J Quackenbush, LM Schriml, F Staubli, R Suzuki, M Tomita, L Wagner, T Washio, K Sakai, T Okido, M Furuno, H Aono, R Baldarelli, G Barsh, J Blake, D Boffelli, N Bojunga, P Carninci, MF de Bonaldo, MJ Brownstein, C Bult, C Fletcher, M Fujita, M Gariboldi, S Gustincich, D Hill, M Hofmann, DA Hume, M Kamiya, NH Lee, P Lyons, L Marchionni, J Mashima, J Mazzarelli, P Mombaerts, P Nordone, B Ring, M Ringwald, Rodriguez, I, N Sakamoto, H Sasaki, K Sato, C Schonbach, T Seya, Y Shibata, KF Storch, H Suzuki, K Toyo-oka, KH Wang, C Weitz, C Whittaker, L Wilming, A Wynshaw-Boris, K Yoshida, Y Hasegawa, H Kawaji, S Kohtsuki, Y Hayashizaki. Functional annotation of a full-length mouse cDNA collection NATURE. 2001.02; 409 (6821): 685-690. ( PubMed, DOI )

  55. Nikaido, I, E Asamizu, M Nakajima, Y Nakamura, N Saga, S Tabata. Generation of 10,154 expressed sequence tags from a leafy gametophyte of a marine red alga, Porphyra yezoensis DNA RESEARCH. 2000.06; 7 (3): 223-227. ( PubMed, DOI )

▼display all

Conference Activities & Talks 【 display / non-display

  1. Identification of gene fusion at the single-cell level from transcriptome data. 2023.01.16

  2. Elucidating the Mechanisms of Genome Resilience. 2022年度 CREST「バイオDX」領域 キックオフシンポジウム 2022.11.20 東京

  3. Identification of chromatin instability at the single-cell level from transcriptome data. 2022.10.14

  4. Morita Ritsuko, Sanzen Noriko, Sasaki Hiroko, Hayashi Tetsutaro, Umeda Mana, Yoshimura Mika, Yamamoto Takaki, Shibata Tatsuo, Abe Takaya, Kiyonari Hiroshi, Furuta Yasuhide, Nikaido Itoshi, Fujiwara Hironobu. Tracing the origin of hair follicle stem cells(タイトル和訳中). 日本研究皮膚科学会年次学術大会・総会プログラム 2022.10.01

  5. A standardized metric for throughput for cytometry. 2022.06.03

  6. 二階堂 愛. 細胞アトラス構築を目指した高スループットトランスクリプトーム解析(High-throughput Transcriptome Analysis for Building Cell Atlas). 日本循環器学会学術集会抄録集 2021.03.01

  7. Itoshi NIKAIDO. High-throughput transcriptome methods for building human cell atlas. The 5th Symposium of the inter-university Research Network for the trans-omics Medicine - The future of transc-omics in the age of COVID-19. Web 2021.01.22

  8. High-throughput transcriptome methods for building human cell atlas. 2021.01.22

  9. Itoshi NIKAIDO. RamDA-seq: A Full-length Total RNA-sequencing at a Single-cell. EMBO Single-cell Biology Workshop 2019.03.20

  10. Itoshi NIKAIDO. RamDA-seq: A Full-length Total RNA-sequencing at a Single-cell. EMBO Single-cell Biology Workshop 2019.03.20

  11. Itoshi NIKAIDO. Single-cell full-length RNA sequencing uncovers dynamics of recursive splicing and enhancer RNA. 41th Annual Meeting of the molecular biology society of Japan 2018.11.28

  12. Itoshi NIKAIDO. Single-cell full-length RNA sequencing uncovers dynamics of recursive splicing and enhancer RNA. 41th Annual Meeting of the molecular biology society of Japan 2018.11.28

  13. 加藤 忠史, 澤田 知世, チェイター・トーマス, 笹川 洋平, 芳村 美佳, 藤森 典子, 田中 かおり, 合田 裕紀子, 二階堂 愛. iPS細胞を用いた精神・神経疾患研究の現状:創薬への期待 統合失調感情障害双極型に関して不一致な一卵性双生児におけるiPS細胞由来神経細胞および脳オーガノイドの表現型差異. 日本臨床精神神経薬理学会・日本神経精神薬理学会合同年会 2018.11.01

  14. 加藤 忠史, 澤田 知世, チェイター・トーマス, 笹川 洋平, 芳村 美佳, 藤森 典子, 田中 かおり, 合田 裕紀子, 二階堂 愛. iPS細胞を用いた精神・神経疾患研究の現状:創薬への期待 統合失調感情障害双極型に関して不一致な一卵性双生児におけるiPS細胞由来神経細胞および脳オーガノイドの表現型差異(Current status of research on neuropsychiatric disorders using iPS cells: potentiol for drug development Phenotypic discordance of iPS cells-derived neurons/cerebral org. 日本臨床精神神経薬理学会・日本神経精神薬理学会合同年会プログラム・抄録集 2018.11.01

  15. Itoshi NIKAIDO. RamDA-seq: A Single-cell Full-length Total RNA Sequencing Uncovers Dynamics of Various Functional RNAs. Single Cell Science Symposium 2018 2018.10.09

  16. Itoshi NIKAIDO. RamDA-seq: A Single-cell Full-length Total RNA Sequencing Uncovers Dynamics of Various Functional RNAs. Single Cell Science Symposium 2018 2018.10.09

  17. 森田 梨津子, 三千 典子, 林 哲太郎, 梅田 茉奈, 芳村 美佳, 二階堂 愛, 阿部 高也, 清成 寛, 古田 泰秀, 藤原 裕展. 毛包幹細胞の起源と誘導メカニズムの解明. 生命科学系学会合同年次大会 2017.12.01

  18. 森田 梨津子, 三千 典子, 林 哲太郎, 梅田 茉奈, 芳村 美佳, 二階堂 愛, 阿部 高也, 清成 寛, 古田 泰秀, 藤原 裕展. 毛包幹細胞の起源と誘導メカニズムの解明. 生命科学系学会合同年次大会 2017.12

  19. 森田 梨津子, 三千 典子, 林 哲太郎, 梅田 茉奈, 芳村 美佳, 二階堂 愛, 阿部 高也, 清成 寛, 古田 泰秀, 藤原 裕展. 毛包幹細胞の起源と誘導メカニズムの解明. 生命科学系学会合同年次大会 2017.12

  20. Itoshi NIKAIDO. A highly quantitative single-cell transcriptome method for realization of effective regenerative medicine. 2nd Kumamoto IRCMS Symposium 2017.10.31

  21. Itoshi NIKAIDO. A highly quantitative single-cell transcriptome method for realization of effective regenerative medicine. 2nd Kumamoto IRCMS Symposium 2017.10.31

  22. Itoshi NIKAIDO. Disassembling regionalization of neuroectoderm by single-cell RNA-sequencing analysis. The 12th International Workshop on Advanced Genomics 2017.06.27

  23. Itoshi NIKAIDO. Disassembling regionalization of neuroectoderm by single-cell RNA-sequencing analysis. The 12th International Workshop on Advanced Genomics 2017.06.27

  24. Haruka Ozaki, Tetsutaro Hayashi, Itoshi Nikaido. Single-cell enhancer RNA analysis in mouse embryonic stem cells using RamDA-seq. ISMB/ECCB 2017 2017.06.21

  25. Haruka Ozaki, Tetsutaro Hayashi, Itoshi Nikaido. Single-cell enhancer RNA analysis in mouse embryonic stem cells using RamDA-seq. ISMB/ECCB 2017 2017.06.21

  26. Haruka Ozaki, Tetsutaro Hayashi, Yohei Sasagawa, Hiroki Danno, Mana Umeda, Itoshi Nikaido. Single-cell enhancer RNA analysis in mouse embryonic stem cells. NIG International Symposium 2017.05.27

  27. Haruka Ozaki, Tetsutaro Hayashi, Yohei Sasagawa, Hiroki Danno, Mana Umeda, Itoshi Nikaido. Single-cell enhancer RNA analysis in mouse embryonic stem cells. NIG International Symposium 2017.05.27

  28. Haruka Ozaki, Itoshi Nikaido. ATAC2NET: A pipeline for reconstructing gene regulatory network based on ATAC-Seq data. 15th European Conference on Computational Biology (ECCB 2016) 2016.09.03

  29. Haruka Ozaki, Itoshi Nikaido. ATAC2NET: A pipeline for reconstructing gene regulatory network based on ATAC-Seq data. 15th European Conference on Computational Biology (ECCB 2016) 2016.09.03

  30. 小杉 孝嗣, 笹川 洋平, 渡辺 直子, 二階堂 愛. 転写ネットワーク変化を網羅的に同定するシークエンス技術の開発. 日本生化学会大会・日本分子生物学会年会合同大会講演要旨集 2015.12

  31. 小杉 孝嗣, 笹川 洋平, 渡辺 直子, 二階堂 愛. 転写ネットワーク変化を網羅的に同定するシークエンス技術の開発. 日本生化学会大会・日本分子生物学会年会合同大会講演要旨集 2015.12

▼display all

 

Campus class subject 【 display / non-display

  • Functional Genome Informatics

  • Biomedical Science

  • Medical Data Science,2022 - Now

  • Disease Omics Informatics,2022 - Now

External class subject 【 display / non-display

  • Disease OMICS Informatics,Tokyo Medical and Dental University, Graduate School of Medical and Dental Sciences

  • Gene analysis and functional genomics,Master's/Doctoral Program in Life Science Innovation (Bioinformatics), Degree Programs in Systems and Information Engineering, Graduate School of Science and Technology, University of Tsukuba

  • Functional Genome Informatics,Health Sciences and Biomedical Engineering, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University

  • Biomedical Science,Doctoral Program: Biomedical and Bioengineering Track / Master's Program: Health Sciences and Biomedical Engineering, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University

  • Gene analysis and functional genomics,Master's/Doctoral Program in Life Science Innovation (Bioinformatics), Degree Programs in Systems and Information Engineering, Graduate School of Science and Technology, University of Tsukuba

Social Contribution 【 display / non-display

  • Facilitating collaboration on a global scale,AMED,AMED,2020.11.09