The C. elegans Rab Family: Identification, Classification and Toolkit Construction

拉布 秀丽隐杆线虫 生物 开放式参考框架 计算生物学 GTP酶 遗传学 亚科 基因 打开阅读框 肽序列
作者
Maria Gallegos,Sanjeev Balakrishnan,Priya Chandramouli,Shaily Arora,Aruna Azameera,Anitha Babushekar,Emilee Bargoma,Abdulmalik A. Bokhari,Siva Kumari Chava,Pranti Das,Meetali Desai,Darlene Decena,Sonia Dev Devadas Saramma,Bodhidipra Dey,Anna-Louise Doss,Nilang Gor,Lakshmi Gudiputi,Chunyuan Guo,Sonali Hande,Megan E. Jensen
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:7 (11): e49387-e49387 被引量:93
标识
DOI:10.1371/journal.pone.0049387
摘要

Rab monomeric GTPases regulate specific aspects of vesicle transport in eukaryotes including coat recruitment, uncoating, fission, motility, target selection and fusion. Moreover, individual Rab proteins function at specific sites within the cell, for example the ER, golgi and early endosome. Importantly, the localization and function of individual Rab subfamily members are often conserved underscoring the significant contributions that model organisms such as Caenorhabditis elegans can make towards a better understanding of human disease caused by Rab and vesicle trafficking malfunction. With this in mind, a bioinformatics approach was first taken to identify and classify the complete C. elegans Rab family placing individual Rabs into specific subfamilies based on molecular phylogenetics. For genes that were difficult to classify by sequence similarity alone, we did a comparative analysis of intron position among specific subfamilies from yeast to humans. This two-pronged approach allowed the classification of 30 out of 31 C. elegans Rab proteins identified here including Rab31/Rab50, a likely member of the last eukaryotic common ancestor (LECA). Second, a molecular toolset was created to facilitate research on biological processes that involve Rab proteins. Specifically, we used Gateway-compatible C. elegans ORFeome clones as starting material to create 44 full-length, sequence-verified, dominant-negative (DN) and constitutive active (CA) rab open reading frames (ORFs). Development of this toolset provided independent research projects for students enrolled in a research-based molecular techniques course at California State University, East Bay (CSUEB).
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