Results 111 to 120 of about 2,935,085 (336)

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +1 more source

Multi-trait analysis of genome-wide association summary statistics using MTAG

Nature Genetics, 2017
We introduce multi-trait analysis of GWAS (MTAG), a method for joint analysis of summary statistics from genome-wide association studies (GWAS) of different traits, possibly from overlapping samples.
P. Turley, R. Walters, Omeed Maghzian, A. Okbay, James J. Lee, M. Fontana, Tuan Anh Nguyen-Viet, Robbee Wedow, Meghan Zacher, N. Furlotte, Michelle Babak Adam Robert K. Katarzyna Sarah L. Pierre Nic Agee Alipanahi Auton Bell Bryc Elson Fontanillas F, M. Agee, B. Alipanahi, A. Auton, R. Bell, K. Bryc, S. Elson, P. Fontanillas, D. Hinds, Bethann S. Hromatka, K. Huber, A. Kleinman, N. Litterman, M. Mcintyre, J. Mountain, C. Northover, J. Sathirapongsasuti, O. V. Sazonova, J. Shelton, S. Shringarpure, C. Tian, J. Tung, V. Vacic, C. H. Wilson, S. Pitts, P. Magnusson, Sven Oskarsson, M. Johannesson, P. Visscher, David Laibson, D. Cesarini, B. Neale, Daniel J. Benjamin   +42 more
semanticscholar   +1 more source

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

Molecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser, Jan Niklas Schäfer, Shraga Nahum Goldberg, Philipp Maximilian Kazmierczak, Moritz Nikolaus Gröper, Philipp Franz Linden, Elif Öcal, Tanja Burkard, Stefanie Corradini, Najib Ben Khaled, Moritz Wildgruber, Max Seidensticker, Jens Ricke, Matthias Stechele, Marianna Alunni‐Fabbroni   +14 more
wiley   +1 more source

Moderate deviations for the determinant of Wigner matrices

, 2013
We establish a moderate deviations principle (MDP) for the log-determinant $\log | \det (M_n) |$ of a Wigner matrix $M_n$ matching four moments with either the GUE or GOE ensemble.
A Dembo, A. Dembo, F. Götze, G Szekeres, G.E. Andrews, GW Anderson, H.F. Trotter, M.L. Mehta, N.R. Goodman, R. Rudzkis, T Tao, T Tao, T. Tao, V.L. Girko, V.L. Girko   +14 more
core   +1 more source

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

Molecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu, Jianlei Zhao, Aaban Asfar Azmi, Avanti Gupte, Jenna Thibodeau, Shuang Liu, Jinli Yang, Guan Wang, Holly Edwards, Lisa A. Polin, Juiwanna Kushner, Sijana H. Dzinic, Kathryn White, Julie Boerner, Maik Hüttemann, Jay Yang, Yue Wang, Jeffrey W. Taub, Yubin Ge   +18 more
wiley   +1 more source

Gifted and Talented Services for EFL Learners in China: A Step-by-Step Guide to Propensity Score Matching Analysis in R

Data, 2019
We sought to quantify the effectiveness of a gifted and talented (GT) program, as was provided to university students who demonstrated a talent for learning English as a foreign language (EFL) in China.
Shifang Tang, Fuhui Tong, Xiuhong Lu
doaj   +1 more source

Improved feature point extraction and mismatch eliminating algorithm

Systems Science & Control Engineering, 2020
For the existing image matching algorithms, some inherent shortcomings, such as high mismatch rate and low computational efficiency, give rise to a bad influence on the performance of Visual Simultaneous Localization and Mapping (VSLAM). In this paper, a
Dongyue Sun, Sunjie Zhang, Yongxiong Wang   +2 more
doaj   +1 more source

Fast and compact matching statistics analytics. [PDF]

Bioinformatics, 2022
Cunial F, Denas O, Belazzougui D.
europepmc   +1 more source

Level and Eigenfunction Statistics in Billiards with Surface Scattering

, 2000
Statistical properties of billiards with diffusive boundary scattering are investigated by means of the supersymmetric sigma-model in a formulation appropriate for chaotic ballistic systems.
A. A. Abrikosov, A. Altland, A. Altland, A. Altland, A. D. Mirlin, A. D. Mirlin, A. D. Mirlin, A. D. Mirlin, A. G. Aronov, A. Kudrolli, A. M. Ozorio de Almeida, A. Szafer, A. V. Andreev, A. V. Andreev, A. V. Andreev, B. A. Muzykantskii, B. A. Muzykantskii, B. A. Muzykantskii, B. D. Simons, B. L. Altshuler, C. W. J. Beenakker, C. W. J. Beenakker, D. E. Khmelnitskii, D. Taras-Semchuk, E. B. Bogomolny, E. Cuevas, E. Louis, E. Louis, E. Louis, F. Borgonovi, H. Alt, I. L. Aleiner, I. L. Aleiner, J. Goldberg, J. Stein, K. B. Efetov, K. Fuchs, K. M. Frahm, K. M. Frahm, K. M. Frahm, K. V. Samokhin, L. P. Kouwenhoven, M. L. Mehta, M. Srednicki, M. V. Berry, M. V. Berry, M. V. Berry, O. Agam, O. Agam, P. Wölfle, R. E. Prange, S. Bjørnholm, S. Hortikar, T. Guhr, V. E. Kravtsov, V. E. Kravtsov, V. I. Fal’ko, V. I. Fal’ko, V. I. Okulov, V. M. Apel, V. N. Prigodin, V. N. Prigodin, V. N. Prigodin, V. Tripathi, Y. V. Fyodorov, Ya. M. Blanter, Ya. M. Blanter, Ya. M. Blanter, Ya. M. Blanter, Yu. N. Ovchinnikov   +69 more
core   +2 more sources