SynPAnal: software for rapid quantification of the density and intensity of protein puncta from fluorescence microscopy images of neurons.
SynPAnal: software for rapid quantification of the density and intensity of protein puncta from fluorescence microscopy images of neurons.
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DOI：
10.1371/journal.pone.0115298
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Lee SH
中科院分区：
文献类型：
--
作者：
Danielson E;Lee SH
突触处蛋白质组成的连续修饰是突触强度可塑性变化的驱动力，并提供了突触可塑性和脑中信息储存的基本分子机制。研究突触蛋白周转不仅对理解学习和记忆很重要，而且对理解衰老、神经退行性疾病和精神疾病等病理条件也有直接意义。参与突触传递和突触可塑性的蛋白质通常集中在神经元的突触处，因此在免疫荧光显微镜图像中表现为斑点（簇）。定量测量特定蛋白质的斑点密度、强度和大小的变化，可以提供有关其在突触传递、回路发育、突触可塑性和突触病中的功能的有价值的信息。不幸的是，斑点量化是非常劳动密集和耗时的。在这篇文章中，我们描述了一个软件工具，设计用于快速半自动检测和定量的突触蛋白斑点从二维免疫荧光图像产生的共聚焦激光扫描显微镜。该软件被称为SynPAnal（Synaptic Puncta Analysis），简化了斑点密度和平均强度的数据量化，从而与手动方法相比提高了数据分析吞吐量。SynPAnal是使用JAVA编程语言编写的独立软件，因此是可移植的和无平台的。
Continuous modification of the protein composition at synapses is a driving force for the plastic changes of synaptic strength, and provides the fundamental molecular mechanism of synaptic plasticity and information storage in the brain. Studying synaptic protein turnover is not only important for understanding learning and memory, but also has direct implication for understanding pathological conditions like aging, neurodegenerative diseases, and psychiatric disorders. Proteins involved in synaptic transmission and synaptic plasticity are typically concentrated at synapses of neurons and thus appear as puncta (clusters) in immunofluorescence microscopy images. Quantitative measurement of the changes in puncta density, intensity, and sizes of specific proteins provide valuable information on their function in synaptic transmission, circuit development, synaptic plasticity, and synaptopathy. Unfortunately, puncta quantification is very labor intensive and time consuming. In this article, we describe a software tool designed for the rapid semi-automatic detection and quantification of synaptic protein puncta from 2D immunofluorescence images generated by confocal laser scanning microscopy. The software, dubbed as SynPAnal (for Synaptic Puncta Analysis), streamlines data quantification for puncta density and average intensity, thereby increases data analysis throughput compared to a manual method. SynPAnal is stand-alone software written using the JAVA programming language, and thus is portable and platform-free.
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影响因子：
34.7
作者：
Morrison, John H.;Baxter, Mark G.
通讯作者：
Baxter, Mark G.
影响因子：
5.7
作者：
Zhang, Yong;Zhou, Xiaobo;Wong, Stephen T. C.
通讯作者：
Wong, Stephen T. C.
影响因子：
2.7
作者：
Collins, Tony J.
通讯作者：
Collins, Tony J.
影响因子：
16.2
作者：
Kessels, Helmut W.;Malinow, Roberto
通讯作者：
Malinow, Roberto
DOI：
10.1523/jneurosci.0025-12.2012
发表时间：
2012-05-16
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Danielson E;Zhang N;Metallo J;Kaleka K;Shin SM;Gerges N;Lee SH
通讯作者：
Lee SH