Quantitative Analysis of Drosophila Larval Neuromuscular Junction Morphology

Author:

Andlauer Till F.M.,Sigrist Stephan J.

Abstract

In the past decade, a significant number of proteins involved in the developmental assembly and maturation of synapses have been identified. However, detailed knowledge of the molecular processes underlying developmental synapse assembly is still sparse. We have developed an approach that makes extended in vivo imaging of selected proteins in live Drosophila larvae feasible at a single-synapse resolution. The intact larvae are anesthetized and neuromuscular junctions (NMJs) are noninvasively imaged with confocal microscopy. This method allows for both protein trafficking and protein turnover kinetics to be studied at various points in time during the development of an animal. These data contribute to our understanding of synaptic assembly under in vivo conditions. Image analysis and quantification are best performed in three dimensions (3D; e.g., with the software Imaris by Bitplane), but they can also be performed using a simpler method for two-dimensional (2D) analysis using the free software ImageJ as presented in this protocol. We propose various possibilities for how an analysis may be performed with ImageJ, rather than providing an inflexible protocol, in which the steps must be followed without modifications. Although execution of most of the tools will be described via the ImageJ menu, most are also readily accessible through icons in ImageJ McMaster Biophotonics Facility (MBF) toolsets. These toolsets can also very easily be adapted for higher efficiency.

Publisher

Cold Spring Harbor Laboratory

Subject

General Biochemistry, Genetics and Molecular Biology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3