S
Sumio Sugano
Researcher at University of Tokyo
Publications - 394
Citations - 34789
Sumio Sugano is an academic researcher from University of Tokyo. The author has contributed to research in topics: Gene & Complementary DNA. The author has an hindex of 76, co-authored 393 publications receiving 31681 citations. Previous affiliations of Sumio Sugano include Tokyo Medical and Dental University & Rockefeller University.
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Journal ArticleDOI
Expression of miR‑26a exhibits a negative correlation with HMGA1 and regulates cancer progression by targeting HMGA1 in lung adenocarcinoma cells.
TL;DR: A significant negative correlation was shown between the expression of miR-26a and HMGA1 in 26 lung adenocarcinoma cell lines, and evidence was provided that the suppression ofmiR- 26a supports the progression of cancer by stimulating theexpression ofHMGA1.
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Perturbation of copper homeostasis is instrumental in early developmental arrest of intraerythrocytic Plasmodium falciparum.
Hiroko Asahi,Mohammed E.M. Tolba,Mohammed E.M. Tolba,Mohammed E.M. Tolba,Masanobu Tanabe,Sumio Sugano,Kazumi Abe,Fumihiko Kawamoto +7 more
TL;DR: Perturbation of copper homeostasis induced profound and early developmental arrest of P. falciparum, and may be applied in the development of effective antimalarial strategies.
Journal Article
Large-scale collection and characterization of promoters of human and mouse genes.
Yutaka Suzuki,Riu Yamashita,Matsuyuki Shirota,Yuta Sakakibara,Yuta Sakakibara,Joe Chiba,Junko Mizushima-Sugano,Alexander E. Kel,Takahiro Arakawa,Piero Carninci,Jun Kawai,Yoshihide Hayashizaki,Toshihisa Takagi,Kenta Nakai,Sumio Sugano +14 more
TL;DR: The generation and initial characterization of a large-scale collection of sequences of putative promoter regions (PPRs) of human and mouse genes and the results of the sequences' initial characterization should lay the firm foundation for deciphering the transcriptional modulations of human genes.
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Investigation of protein functions through data-mining on integrated human transcriptome database, H-Invitational database (H-InvDB).
Chisato Yamasaki,Kanako O. Koyanagi,Yasuyuki Fujii,Takeshi Itoh,Takeshi Itoh,Roberto A. Barrero,Takuro Tamura,Yumi Yamaguchi-Kabata,Motohiko Tanino,Jun-ichi Takeda,Satoshi Fukuchi,Satoru Miyazaki,Nobuo Nomura,Sumio Sugano,Sumio Sugano,Tadashi Imanishi,Tadashi Imanishi,Takashi Gojobori,Takashi Gojobori,Takashi Gojobori +19 more
TL;DR: Results clearly demonstrate that structural prediction is effective for functional annotation of proteins with unknown functions in H-InvDB, and represents a substantial contribution to resources required for the exploration of human biology and pathology.
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Construction of mate pair full-length cDNAs libraries and characterization of transcriptional start sites and termination sites
TL;DR: These libraries were useful for assembling the internal structure of previously uncharacterized alternative promoter products, as well as intervening transcripts, and were also useful for identifying fusion gene transcripts in cancerous cells.