Literature DB >> 28112892

High Density or Urban Sprawl: What Works Best in Biology?

John Oreopoulos1, Scott D Gray-Owen2, Christopher M Yip1.   

Abstract

With new approaches in imaging-from new tools or reagents to processing algorithms-come unique opportunities and challenges to our understanding of biological processes, structures, and dynamics. Although innovations in super-resolution imaging are affording novel perspectives into how molecules structurally associate and localize in response to, or in order to initiate, specific signaling events in the cell, questions arise as to how to interpret these observations in the context of biological function. Just as each neighborhood in a city has its own unique vibe, culture, and indeed density, recent work has shown that membrane receptor behavior and action is governed by their localization and association state. There is tremendous potential in developing strategies for tracking how the populations of these molecular neighborhoods change dynamically.

Mesh:

Year:  2017        PMID: 28112892     DOI: 10.1021/acsnano.7b00061

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  1 in total

1.  The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm.

Authors:  Huafang Huang; Xiaomao Wu; Xianfu Cheng
Journal:  Int J Environ Res Public Health       Date:  2020-06-12       Impact factor: 3.390

  1 in total

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