Chick Joel M, Munger Steven C, Simecek Petr, Huttlin Edward L, Choi Kwangbom, Gatti Daniel M, Raghupathy Narayanan, Svenson Karen L, Churchill Gary A, Gygi Steven P
Harvard Medical School, Boston, Massachusetts 02115, USA.
The Jackson Laboratory, Bar Harbor, Maine 04609, USA.
Nature. 2016 Jun 23;534(7608):500-5. doi: 10.1038/nature18270. Epub 2016 Jun 15.
Genetic variation modulates protein expression through both transcriptional and post-transcriptional mechanisms. To characterize the consequences of natural genetic diversity on the proteome, here we combine a multiplexed, mass spectrometry-based method for protein quantification with an emerging outbred mouse model containing extensive genetic variation from eight inbred founder strains. By measuring genome-wide transcript and protein expression in livers from 192 Diversity outbred mice, we identify 2,866 protein quantitative trait loci (pQTL) with twice as many local as distant genetic variants. These data support distinct transcriptional and post-transcriptional models underlying the observed pQTL effects. Using a sensitive approach to mediation analysis, we often identified a second protein or transcript as the causal mediator of distant pQTL. Our analysis reveals an extensive network of direct protein-protein interactions. Finally, we show that local genotype can provide accurate predictions of protein abundance in an independent cohort of collaborative cross mice.
遗传变异通过转录和转录后机制调节蛋白质表达。为了表征自然遗传多样性对蛋白质组的影响,我们将基于质谱的多重蛋白质定量方法与一种新兴的远交小鼠模型相结合,该模型包含来自八个近交系奠基菌株的广泛遗传变异。通过测量192只多样性远交小鼠肝脏中的全基因组转录本和蛋白质表达,我们鉴定出2866个蛋白质数量性状位点(pQTL),其中本地遗传变异的数量是远距离遗传变异的两倍。这些数据支持了观察到的pQTL效应背后不同的转录和转录后模型。使用一种敏感的中介分析方法,我们经常确定另一种蛋白质或转录本作为远距离pQTL的因果中介。我们的分析揭示了一个广泛的直接蛋白质-蛋白质相互作用网络。最后,我们表明本地基因型可以为协作杂交小鼠的独立队列中的蛋白质丰度提供准确预测。