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4篇 您的检索式:作者名="Sayak"
    题名 作者 年代 出处 被引量
1Caveolae-dependent internalization and homologous desensitization of VIP/PACAP receptor, VPAC 2 , in gastrointestinal smooth muscle显示文摘Sunila Mahavadi Sayak Bhattacharya Jennnifer Kim Sally Fayed Othman Al-Shboul John R. Grider Karnam S. Murthy 2013Peptides2013,,:1
2显示文摘Cruzan J D Braly L B Sayakally R J 1996Science1996,27,:1
3A Review on the Evaporation Dynamics of Sessile Drops of Binary Mixtures:Challenges and Opportunities显示文摘The wetting and evaporation dynamics of sessile droplets have gained considerable attention over the last few years due to their relevance to many practical applications,ranging from a variety of industrial problems to several biological systems.Droplets made of binary mixtures typically undergo complex dynamics due to the differential volatility of the considered components and the ensuing presence of thermocapillary effects.For these reasons,many research groups have focused on the evaporation of binary droplets using a variegated set of experimental,numerical,and purely theoretical approaches.Apart from reviewing the state-of-the-art about the existing experimental,analytical,and computational techniques used to study the evaporation dynamics of binary sessile droplets,we also provide some indications about possible future research directions in this specific area.Pradeep Gurrala Saravanan Balusamy Sayak Banerjee Kirti Chandra Sahu 2021Fluid Dynamics & Materials Processing2021,17,2:0
4McSNAC:A software to approximate first-order signaling networks from mass cytometry data显示文摘Background:Mass cytometry(CyTOF)gives unprecedented opportunity to simultaneously measure up to 40 proteins in single cells,with a theoretical potential to reach 100 proteins.This high-dimensional single-cell information can be very useful in dissecting mechanisms of cellular activity.In particular,measuring abundances of signaling proteins like phospho-proteins can provide detailed information on the dynamics of single-cell signaling processes.However,computational analysis is required to reconstruct such networks with a mechanistic model.Methods:We propose our Mass cytometry Signaling Network Analysis Code(McSNAC),a new software capable of reconstructing signaling networks and estimating their kinetic parameters from CyTOF data.McSNAC approximates signaling networks as a network of first-order reactions between proteins.This assumption often breaks down as signaling reactions can involve binding and unbinding,enzymatic reactions,and other nonlinear constructions.Furthermore,McSNAC may be limited to approximating indirect interactions between protein species,as cytometry experiments are only able to assay a small fraction of protein species involved in signaling.Results:We carry out a series of in silico experiments here to show(1)McSNAC is capable of accurately estimating the ground-truth model in a scalable manner when given data originating from a first-order system;(2)McSNAC is capable of qualitatively predicting outcomes to perturbations of species abundances in simple second-order reaction models and in a complex in silico nonlinear signaling network in which some proteins are unmeasured.Conclusions:These findings demonstrate that McSNAC can be a valuable screening tool for generating models of signaling networks from time-stamped CyTOF data.Darren Wethington Sayak Mukherjee Jayajit Das 2023Quantitative Biology2023,11,1:0
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