Recent Advances in Electrophysiology-Based Screening Technology and the Impact upon Ion Channel Discovery Research

Author(s):  
Andrew Southan ◽  
Gary Clark
2021 ◽  
Vol 120 (3) ◽  
pp. 155a
Author(s):  
John W. Hussey ◽  
Emily DeMarco ◽  
Deborah DiSilvestre ◽  
Helene H. Jensen ◽  
Mette Nyegaard ◽  
...  

2020 ◽  
Vol 21 (12) ◽  
pp. 4541 ◽  
Author(s):  
Erica Gianazza ◽  
Maura Brioschi ◽  
Roberta Baetta ◽  
Alice Mallia ◽  
Cristina Banfi ◽  
...  

Platelets are a heterogeneous small anucleate blood cell population with a central role both in physiological haemostasis and in pathological states, spanning from thrombosis to inflammation, and cancer. Recent advances in proteomic studies provided additional important information concerning the platelet biology and the response of platelets to several pathophysiological pathways. Platelets circulate systemically and can be easily isolated from human samples, making proteomic application very interesting for characterizing the complexity of platelet functions in health and disease as well as for identifying and quantifying potential platelet proteins as biomarkers and novel antiplatelet therapeutic targets. To date, the highly dynamic protein content of platelets has been studied in resting and activated platelets, and several subproteomes have been characterized including platelet-derived microparticles, platelet granules, platelet releasates, platelet membrane proteins, and specific platelet post-translational modifications. In this review, a critical overview is provided on principal platelet proteomic studies focused on platelet biology from signaling to granules content, platelet proteome changes in several diseases, and the impact of drugs on platelet functions. Moreover, recent advances in quantitative platelet proteomics are discussed, emphasizing the importance of targeted quantification methods for more precise, robust and accurate quantification of selected proteins, which might be used as biomarkers for disease diagnosis, prognosis and therapy, and their strong clinical impact in the near future.


2020 ◽  
Vol 45 (7) ◽  
pp. 1086-1096 ◽  
Author(s):  
Jonathan A. Hollander ◽  
Deborah A. Cory-Slechta ◽  
Felice N. Jacka ◽  
Steven T. Szabo ◽  
Tomás R. Guilarte ◽  
...  

2020 ◽  
Vol 37 (11) ◽  
pp. 1511-1531
Author(s):  
Zhi-Chen Wu ◽  
Dale L. Boger

This review summarizes and highlights recent advances in medicinal chemistry of natural products enabled by total synthesis that provide “supernatural products” with improved properties superseding the natural products themselves.


2019 ◽  
Vol 33 (2) ◽  
pp. 31-50 ◽  
Author(s):  
Ajay Agrawal ◽  
Joshua S. Gans ◽  
Avi Goldfarb

Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when the automation of prediction leads to automating decisions versus enhancing decision-making by humans.


2008 ◽  
Vol 7 (2) ◽  
pp. 122-128 ◽  
Author(s):  
Michael Dabrowski ◽  
Kim Dekermendjian ◽  
Per-Eric Lund ◽  
Johannes Krupp ◽  
Jon Sinclair ◽  
...  

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