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Page 5 of 1,870
Computational and Systems Biology
Large-scale synthetic data enable digital twins of human excitable cells
Pei-Chi Yang, Mao-Tsuen Jeng ... Colleen E Clancy
Large-scale synthetic datasets enable construction of digital twins of individual human excitable cells from a single voltage-clamp recording.
Neuroscience
Zapit: Open Source Laser-Scanning Photostimulation For Neuroscience
Michael Lohse, Oliver M Gauld ... Robert AA Campbell
Microbiology and Infectious Disease
Three metabolic pathways replenishing the one-carbon pool collectively support growth and virulence of
Listeria monocytogenes
Sandra Freier, Sarah Frentzel ... Sven Halbedel
Biochemistry and Chemical Biology
Identification of key Y
4
R residues enables the discovery of selective non-peptide small-molecule agonists
Tim Pelczyk, Corinna Schüß ... Annette G Beck-Sickinger
Developmental Biology
MATR3 is essential for oocyte growth and maturation quality through a dual molecular mechanism
Yibing Bao, Zhenzi Zuo ... Chao Wang
Biochemistry and Chemical Biology
Cell Biology
A tool to pulse-label yeast Nuclear Pore Complexes in imaging and biochemical experiments
Annemiek C Veldsink, Jonas S Fischer ... Liesbeth M Veenhoff
Plant Biology
Ecology
Asymmetric introgression and thermal advantage jointly drive climate-mediated lineage turnover in a mixed-ploidy reed
Lele Liu, Wenyi Sheng ... Weihua Guo
Cell Biology
Physiology
Aging induced structural alterations in SR-Mitochondria interaction in skeletal muscle: Emerging insights
Unmod Senapati, Barsha Priyadarshini Kar ... Naresh Chandra Bal
Neuroscience
PKMζ-PKCι/λ double-knockout demonstrates atypical PKC is crucial for the persistence of hippocampal LTP and spatial memory
Panayiotis Tsokas, Changchi Hsieh ... Todd Charlton Sacktor
Double-knockout of PKMζ and the other atypical PKC, PKCι/λ, reveals that, without PKMζ for maintenance, PKCι/λ becomes persistently active to sustain hippocampal late-LTP and long-term memory.
Neuroscience
Two time scales of adaptation in human learning rates
Jonas Simoens, Senne Braem ... Tom Verguts
Humans adapt learning rates on both a fast and a slow time scale, and the central orbitofrontal cortex may represent the slow time scale.
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