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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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Novel lnc RNA regulated by HIF-1 inhibits apoptotic cell death in the renal tubular epithelial cells under hypoxia.

TL;DR: The novel lncRNAs regulated by HIF‐1 under hypoxia are identified and it is clarified that DARS‐AS1 plays an important role in inhibiting apoptotic cell death in renal tubular cells.
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Analysis on Gene Expression Profile in Oncospheres and Early Stage Metacestodes from Echinococcus multilocularis.

TL;DR: A Next-Generation Sequencing approach was used to investigate three different stages of E. multilocularis and revealed that some diagnostic antigen gp50 isoforms and the antigen Eg95 family dominated in activated oncospheres, and the antigens BFamily dominated in early stage metacestodes.
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Nucleotide composition-linked divergence of vertebrate core promoter architecture

TL;DR: A comprehensive comparison of human and amphibian promoter sequences revealed both similarities and differences in core promoter architecture, showing how sweeping changes in nucleotide composition are compatible with highly conserved mechanisms of transcription initiation.
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Directed induction of alveolar type I cells derived from pluripotent stem cells via Wnt signaling inhibition.

TL;DR: ScRNA‐seq data allowed us to define iAT1 cells and identify FD‐AOs as a useful model for investigating the mechanism underlying human AT1 cell differentiation from AT2 cells in vitro.
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Identification of physical interactions between genomic regions by enChIP-Seq.

TL;DR: The feasibility of using engineered DNA‐binding molecule‐mediated chromatin immunoprecipitation (enChIP) in combination with next‐generation sequencing (NGS) to detect physical interactions between genomic regions is shown.