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Institution

Yonsei University

EducationSeoul, South Korea
About: Yonsei University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Cancer. The organization has 50162 authors who have published 106172 publications receiving 2279044 citations. The organization is also known as: Yonsei.


Papers
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Journal ArticleDOI
22 Jun 2015-ACS Nano
TL;DR: High performance of dual-gated van der Waals (vdW) heterostructure devices in which MoS2 layers are fully encapsulated by hexagonal boron nitride and contacts are formed using graphene are reported, resulting in highly stable device performance, even at elevated temperatures.
Abstract: Emerging two-dimensional (2D) semiconductors such as molybdenum disulfide (MoS2) have been intensively studied because of their novel properties for advanced electronics and optoelectronics. However, 2D materials are by nature sensitive to environmental influences, such as temperature, humidity, adsorbates, and trapped charges in neighboring dielectrics. Therefore, it is crucial to develop device architectures that provide both high performance and long-term stability. Here we report high performance of dual-gated van der Waals (vdW) heterostructure devices in which MoS2 layers are fully encapsulated by hexagonal boron nitride (hBN) and contacts are formed using graphene. The hBN-encapsulation provides excellent protection from environmental factors, resulting in highly stable device performance, even at elevated temperatures. Our measurements also reveal high-quality electrical contacts and reduced hysteresis, leading to high two-terminal carrier mobility (33–151 cm2 V–1 s–1) and low subthreshold swing (...

338 citations

Journal ArticleDOI
TL;DR: The MSC-MV proteome provides a comprehensive basis for understanding the potential of MSC's self-renewal and differentiation-related genes to affect tissue repair and regeneration.
Abstract: Mesenchymal stem cells (MSCs) have emerged as a promising means for treating degenerative or incurable diseases. Recent studies have shown that microvesicles (MVs) from MSCs (MSC-MVs) contribute to recovery of damaged tissues in animal disease models. Here, we profiled the MSC-MV proteome to investigate their therapeutic effects. LC–MS/MS analysis of MSC-MVs identified 730 MV proteins. The MSC-MV proteome included five positive and two variable known markers of MSCs, but no negative marker, as well as 43 surface receptors and signaling molecules controlling self-renewal and differentiation of MSCs. Functional enrichment analysis showed that cellular processes represented by the MSC-MV proteins include cell proliferation, adhesion, migration, and morphogenesis. Integration of MSC’s self-renewal and differentiation-related genes and the proteome of MSC-conditioned media (MSC-CM) with the MSC-MV proteome revealed potential MV protein candidates that can be associated with the therapeutic effects of MSC-MVs: ...

338 citations

Journal ArticleDOI
S. Wehle, C. Niebuhr, S. Yashchenko, Iki Adachi1  +239 moreInstitutions (64)
TL;DR: The result is consistent with standard model (SM) expectations, where the largest discrepancy from a SM prediction is observed in the muon modes with a local significance of 2.6σ.
Abstract: We present a measurement of angular observables and a test of lepton flavor universality in the B -> K(+)l(+)l(-) decay, where l is either e or mu. The analysis is performed on a data sample corresponding to an integrated luminosity of 711 fb(-1) containing 772 x 10(6) B (B) over bar pairs, collected at the Upsilon(4S) resonance with the Belle detector at the asymmetric-energy e(+)e(-) collider KEKB. The result is consistent with standard model (SM) expectations, where the largest discrepancy from a SM prediction is observed in the muon modes with a local significance of 2.6 sigma.

338 citations

Journal ArticleDOI
TL;DR: These studies uncover a direct role for TAZ and TEAD in driving the MES differentiation of malignant glioma.
Abstract: Recent molecular classification of glioblastoma (GBM) has shown that patients with a mesenchymal (MES) gene expression signature exhibit poor overall survival and treatment resistance. Using regulatory network analysis of available expression microarray data sets of GBM, including The Cancer Genome Atlas (TCGA), we identified the transcriptional coactivator with PDZ-binding motif (TAZ), to be highly associated with the MES network. TAZ expression was lower in proneural (PN) GBMs and lower-grade gliomas, which correlated with CpG island hypermethylation of the TAZ promoter compared with MES GBMs. Silencing of TAZ in MES glioma stem cells (GSCs) decreased expression of MES markers, invasion, self-renewal, and tumor formation. Conversely, overexpression of TAZ in PN GSCs as well as murine neural stem cells (NSCs) induced MES marker expression and aberrant osteoblastic and chondrocytic differentiation in a TEAD-dependent fashion. Using chromatin immunoprecipitation (ChIP), we show that TAZ is directly recruited to a majority of MES gene promoters in a complex with TEAD2. The coexpression of TAZ, but not a mutated form of TAZ that lacks TEAD binding, with platelet-derived growth factor-B (PDGF-B) resulted in high-grade tumors with MES features in a murine model of glioma. Our studies uncover a direct role for TAZ and TEAD in driving the MES differentiation of malignant glioma.

337 citations

Journal ArticleDOI
TL;DR: Male sex, low anastomosis, preoperative chemoradiation, advanced tumor stage, perioperative bleeding, and multiple firings of the linear stapler increased the risk of AL after laparoscopic surgery for rectal cancer.
Abstract: Objective:To assess the risk factors for clinical anastomotic leakage (AL) in patients undergoing laparoscopic surgery for rectal cancer.Background:Little data are available about risk factors for AL after laparoscopic rectal cancer resection.Methods:This was a retrospective analysis of 1609 patient

337 citations


Authors

Showing all 50632 results

NameH-indexPapersCitations
Younan Xia216943175757
Peer Bork206697245427
Ralph Weissleder1841160142508
Hyun-Chul Kim1764076183227
Gregory Y.H. Lip1693159171742
Yongsun Kim1562588145619
Jongmin Lee1502257134772
James M. Tiedje150688102287
Guanrong Chen141165292218
Kazunori Kataoka13890870412
Herbert Y. Meltzer137114881371
Peter M. Rothwell13477967382
Tae Jeong Kim132142093959
Shih-Chang Lee12878761350
Ming-Hsuan Yang12763575091
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023203
2022753
20217,800
20207,310
20196,827
20186,298