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Yutaka Suzuki

Researcher at University of Tokyo

Publications -  875
Citations -  42146

Yutaka Suzuki is an academic researcher from University of Tokyo. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 85, co-authored 767 publications receiving 35471 citations. Previous affiliations of Yutaka Suzuki include Japan Agency for Medical Research and Development & Institute for the Physics and Mathematics of the Universe.

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Slow-cycling cancer stem cells regulate progression and chemoresistance in colon cancer

TL;DR: It is demonstrated that the tumorigenic subpopulation of mouse LGR5+ cells exists in a slow-cycling state and a unique 22-gene signature that characterizes these slow-Cycling CSC is identified, suggesting that inhibition of slow-cycle CSC by targeting the TCF1–PROX1–CDKN1C pathway is an effective strategy to combat refractory colon cancer in combination with conventional chemotherapy.
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Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks.

TL;DR: A trans-omic network of insulin action in FAO hepatoma cells is constructed using transcriptomic data, western blotting analysis of signaling proteins, and metabolomic data to gain molecular insight into how liver cells interpret physiological insulin signals to regulate cellular functions.
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Distribution of lysosomal protective protein in human tissues.

TL;DR: Two polyclonal antibodies against synthetic oligopeptides comprising amino acid sequences in the human lysosomal protective protein recognized the precursor and the N-terminal sequence of the 32-kDa mature protein subunit, and in normal fibroblasts.
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FULL-malaria: A database for a full-length enriched cDNA library from human malaria parasite, Plasmodium falciparum.

TL;DR: Using the oligo-capping method, a full-length-enriched cDNA library from erythrocytic stage parasites is produced and led to detection of three new gene candidates that were not previously known.
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H-DBAS: human-transcriptome database for alternative splicing: update 2010.

TL;DR: This update of H-DBAS correlated RNA-Seq tag information to the AS exons and splice junctions, and presented a new comparative genomics viewer so that users can empirically understand the evolutionary turnover of AS.