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Data mining for traffic information.
Traffic ( IF 4.5 ) Pub Date : 2020-01-01 , DOI: 10.1111/tra.12702
Michael J Clague 1 , Sylvie Urbé 1
Affiliation  

Modern cell biology is now rich with data acquired at the whole genome and proteome level. We can add value to this data through integration and application of specialist knowledge. To illustrate, we will focus on the SNARE and RAB proteins; key regulators of intracellular fusion specificity and organelle identity. We examine published mass spectrometry data to gain an estimate of protein copy number and organelle distribution in HeLa cells for each family member. We also survey recent global CRISPR/Cas9 screens for essential genes from these families. We highlight instances of co-essentiality with other genes across a large panel of cell lines that allows for the identification of functionally coherent clusters. Examples of such correlations include RAB10 with the SNARE protein Syntaxin4 (STX4) and RAB7/RAB21 with the WASH and the CCC (COMMD/CCDC22/CCDC93) complexes, both of which are linked to endosomal recycling pathways.

中文翻译:

交通信息的数据挖掘。

现在,现代细胞生物学拥有在整个基因组和蛋白质组水平上获取的数据。我们可以通过集成和应用专业知识来为这些数据增加价值。为了说明这一点,我们将重点讨论SNARE和RAB蛋白。细胞内融合特异性和细胞器身份的关键调节器。我们检查已发布的质谱数据,以获得每个家庭成员HeLa细胞中蛋白质拷贝数和细胞器分布的估计值。我们还对最近的全球CRISPR / Cas9筛选进行了调查,以查找这些家族的必需基因。我们重点介绍了跨细胞系的其他基因与其他基因的共存性实例,这些实例可用于识别功能一致的簇。
更新日期:2019-12-19
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