Results 81 to 90 of about 581,117 (305)

Integration of Pharmacology into a Dental School’s Problem Based Learning Curriculum [PDF]

, 2010
poster abstractThe purpose of this study is to determine student perceptions of the methods used to teach pharmacology content via Problem Based Learning (PBL) cases with respect to student: comprehension application of pharmacology content, confidence ...
Garetto, L.P., Gregson, K.S., Romito, L.M.   +2 more
core  

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology

Frontiers in Immunology, 2019
Following the approval, in recent years, of the first immune checkpoint inhibitor, there has been an explosion in the development of immuno-modulating pharmacological modalities for the treatment of various cancers. From the discovery phase to late-stage
Kirill Peskov, Kirill Peskov, Ivan Azarov, Lulu Chu, Veronika Voronova, Yuri Kosinsky, Gabriel Helmlinger   +6 more
doaj   +1 more source

Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop

Nature Communications, 2022
It is currently difficult to perform accurate single-cell assays in 384-well plates. Here the authors report Dye Drop which uses sequential density displacement and microscopy for multi-step assays on cells, and use this to collect single-cell dose ...
Caitlin E. Mills, Kartik Subramanian, Marc Hafner, Mario Niepel, Luca Gerosa, Mirra Chung, Chiara Victor, Benjamin Gaudio, Clarence Yapp, Ajit J. Nirmal, Nicholas Clark, Peter K. Sorger   +11 more
doaj   +1 more source

Mathematical model of a telomerase transcriptional regulatory network developed by cell-based screening: analysis of inhibitor effects and telomerase expression mechanisms [PDF]

, 2014
Cancer cells depend on transcription of telomerase reverse transcriptase (TERT). Many transcription factors affect TERT, though regulation occurs in context of a broader network. Network effects on telomerase regulation have not been investigated, though
A Agrawal, A De Cian, A Goltsov, A Graudenzi, A Schonthal, A Subramanian, A Tapias, A Tapias, A von Kriegsheim, A Wuensche, AE Bilsland, AE Bilsland, AE Bilsland, AE Bilsland, Alan E. Bilsland, B Tang, C Jiang, C Lawless, C Torres-Sosa, CJ Anderson, Claire J. Cairney, D Hanahan, D Machado, D Xu, DE Nelson, DG Johnson, DH Crouch, DJ Billingsley, DL Crowe, DR White, E Yang, EJ Black, F Gizard, FW Huang, G Niu, G Wrobel, H Yuan, J Cho, J Grefenstette, J Won, J Zhao, JN Davis, Jon Roffey, JS Ho, K Cho, K Jiang, K Lafferty-Whyte, K Lafferty-Whyte, K Lafferty-Whyte, K Ookawa, K Thalmeier, K Willadsen, Katrina Stevenson, KI Zeller, KJ Wu, KM Ryan, L Chen, L Durant, L Konnikova, LA Bell, LC Freeman, LE Sivak, LG Wooten-Blanks, LI Chen, M Choi, M Daniel, M Kohl, M Nicolas, M Takakura, N Arkus, N Benson, N Kley, OE Akman, OW Rokhlin, P Angel, PJ Killela, PM Neilsen, Q Wang, R Duan, R Schlatter, R Wilds, RT Sitaram, S Horn, S Hossain, S Huang, S Kauffman, S Kyo, S Mangan, S Oh, Satoru Miyano, SM Mac, SP Hsu, Stacey Hoare, SY Lin, T Kanaya, T Maki-Marttunen, T Sengupta, TG Oliver, TH Kim, U Moehren, V Anest, V Batagelj, VJ Gnanapragasam, VK Mootha, W. Nicol Keith, WB Lee, X Chen, Y Xiao, Y Xing, Y Yao, Yu Liu   +110 more
core   +3 more sources

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Building Confidence in Quantitative Systems Pharmacology Models : An Engineer's Guide to Exploring the Rationale in Model Design and Development [PDF]

, 2016
This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic ...
Albergante, Alden, Alden, Alden, Alden, Alvar, An, An, Barnes, Cilfone, Combining software evidence arguments and assurance, Fenn, Gazzinelli, Grimm, Guo, Hayden, Ince, Joppa, Kane, Kaye, McCall, McKay, Murray, Polack, Read, Rosenberg, Verma, Vinken   +27 more
core   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

α1D-Adrenoceptors are responsible for the high sensitivity and the slow time-course of noradrenaline-mediated contraction in conductance arteries [PDF]

, 2013
The objective of this study was to determine whether the different time-course characteristics of α1-adrenoceptor-mediated contraction in arteries can be related to the subtypes involved.
Alexander, Arévalo-León, Cavalli, Chalothorn, Chen, Cotecchia, Daly, Deighan, Docherty, García-Cazarín, García-Sainz, García-Sainz, García-Sainz, Gisbert, Gisbert, Gisbert, Gisbert, Goldstein, Hawrylyshyn, Hein, Hosoda, Hrometz, Hussain, Keffel, Kenny, Koshimizu, Lachnit, Lyssand, Lyssand, Lyssand, Martinez-Rivelles, Martí, McCune, Methven, Methven, Michelotti, Monto, Noguera, Noguera, Philipp, Piascik, Piascik, Pérez-Aso, Rudner, Schwinn, Stassen, Taguchi, Tanaka, Tanoue, Tanoue, Theroux, Yamamoto, Zhong, Ziani   +53 more
core   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source