1,418 results found
    1. Biochemistry and Chemical Biology
    2. Chromosomes and Gene Expression

    An acetylation-mediated chromatin switch governs H3K4 methylation read-write capability

    Kanishk Jain, Matthew R Marunde ... Brian D Strahl
    MLL1-mediated H3K4 methylation is directly enhanced by cis-tail H3 acetylation, as shown through both in vitro and in vivo experiments.
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    1. Biochemistry and Chemical Biology
    2. Chromosomes and Gene Expression

    MutSα maintains the mismatch repair capability by inhibiting PCNA unloading

    Yoshitaka Kawasoe, Toshiki Tsurimoto ... Tatsuro S Takahashi
    Biochemical analysis in Xenopus egg extracts reveals that the MutSα mismatch sensor retains the DNA-bound replication clamp to maintain a post-replicative temporal window permissive to strand-specific repair of mismatches.
    1. Neuroscience

    Ventromedial hypothalamic neurons control a defensive emotion state

    Prabhat S Kunwar, Moriel Zelikowsky ... David J Anderson
    Stimulation of specific neurons within the hypothalamus triggers a fear-like emotion state and behavioral response in mice, challenging the textbook view that the hypothalamus serves simply as a relay for emotion states encoded in the amygdala.
    1. Genetics and Genomics
    2. Neuroscience

    Sex-determining genes distinctly regulate courtship capability and target preference via sexually dimorphic neurons

    Kenichi Ishii, Margot Wohl ... Kenta Asahina
    Sex-specific characteristics of the fruit fly courtship behavior are not specified by a single binary switch, but as a combination of traits that are modularly specified by separable genetic switches.
    1. Biochemistry and Chemical Biology
    2. Neuroscience

    Organic electrochemical transistor arrays for real-time mapping of evoked neurotransmitter release in vivo

    Kai Xie, Naixiang Wang ... Peng Shi
    An implantable device based on organic electrochemical transistors is developed for quantitative mapping of neurotransmitter release across multiple brain regions, revealing a cross-talk between the mesolimbic and nigrostriatal dopaminergic pathways.
    1. Computational and Systems Biology
    2. Neuroscience

    Learning recurrent dynamics in spiking networks

    Christopher M Kim, Carson C Chow
    Modifying the recurrent connectivity of spiking networks provides sufficient flexibility to generate arbitrarily complex recurrent dynamics, suggesting that individual neurons in a recurrent network have the capability to support near universal dynamics.
    1. Computational and Systems Biology

    Toward the cellular-scale simulation of motor-driven cytoskeletal assemblies

    Wen Yan, Saad Ansari ... Michael Shelley
    aLENS implements new parallel methods to resolve cytoskeletal assembly dynamics with high stability, physical consistency, and scalability.
    1. Biochemistry and Chemical Biology

    Single-molecule functional anatomy of endogenous HER2-HER3 heterodimers

    Byoungsan Choi, Minkwon Cha ... Tae-Young Yoon
    Single-molecule immunoprecipitation method reveals that the high catalytic rate and multi-tasking capability make a concerted contribution to the strong signaling potency of the HER2-HER3 heterodimers.
    1. Cancer Biology
    2. Computational and Systems Biology

    Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer

    Libo Wang, Zaoqu Liu ... Yu-ling Sun
    AIDPS derived by 76 machine-learning algorithm combinations in 13 independent multicenter cohorts exhibited superior capability than clinical traits and 86 published prognostic signatures and could serve as an ideal biomarker for stratified management and individualized treatment of pancreatic cancer.
    1. Neuroscience

    Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

    Alexander Fengler, Lakshmi N Govindarajan ... Michael J Frank
    A novel method and software provides researchers with the capability to rapidly, flexibly, and robustly perform Bayesian parameter estimation of theoretically meaningful models in cognitive neuroscience that were heretofore intractable.

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