小柯机器人

美国斯坦福大学医学院Michael P. Snyder研究组绘制出人体定量蛋白质图谱。相关论文于2020年9月10日在线发表于《细胞》。

研究人员从32个正常人体组织内超过12,000个基因中定量了相对蛋白质水平。组织特异性或组织富集的蛋白质被鉴定，并将其与转录组数据进行比较。许多普遍的转录本被发现编码组织特异性蛋白质。RNA和蛋白质富集的不一致揭示了分泌蛋白质合成和工作的潜在位置。蛋白质的组织特异性分布还提供了对复杂生物学事件的深入视角，这些事件需要多个组织的相互作用。

最重要的是，这项研究表明蛋白质组织富集信息可以解释遗传疾病的表型，而仅靠转录本信息是无法获得的。总体而言，这些结果表明，了解蛋白质水平能够提供有关调节、分泌组、代谢和人类疾病的见解。

据悉，确定每个组织中的蛋白质水平以及它们与RNA水平的比较对于了解人类生物学和疾病以及控制蛋白质水平的调节过程非常重要。

附：英文原文

Title: A Quantitative Proteome Map of the Human Body

Author: Lihua Jiang, Meng Wang, Shin Lin, Ruiqi Jian, Xiao Li, Joanne Chan, Guanlan Dong, Huaying Fang, Aaron E. Robinson, Franois Aguet, Shankara Anand, Kristin G. Ardlie, Stacey Gabriel, Gad Getz, Aaron Graubert, Kane Hadley, Robert E. Handsaker, Katherine H. Huang, Seva Kashin, Daniel G. MacArthur, Samuel R. Meier, Jared L. Nedzel, Duyen Y. Nguyen, Ayellet V. Segrè, Ellen Todres, Brunilda Balliu, Alvaro N. Barbeira, Alexis Battle, Rodrigo Bonazzola, Andrew Brown, Christopher D. Brown, Stephane E. Castel, Don Conrad, Daniel J. Cotter, Nancy Cox, Sayantan Das, Olivia M. de Goede, Emmanouil T. Dermitzakis, Barbara E. Engelhardt, Eleazar Eskin, Tiffany Y. Eulalio, Nicole M. Ferraro, Elise Flynn, Laure Fresard, Eric R. Gamazon, Diego Garrido-Martín, Nicole R. Gay, Roderic Guigó, Andrew R. Hamel, Yuan He, Paul J. Hoffman, Farhad Hormozdiari, Lei Hou, Hae Kyung Im, Brian Jo, Silva Kasela, Manolis Kellis, Sarah Kim-Hellmuth, Alan Kwong, Tuuli Lappalainen, Xin Li, Yanyu Liang, Serghei Mangul, Pejman Mohammadi, Stephen B. Montgomery, Manuel Muoz-Aguirre, Daniel C. Nachun, Andrew B. Nobel, Meritxell Oliva, YoSon Park, Yongjin Park, Princy Parsana, Ferran Reverter, John M. Rouhana, Chiara Sabatti, Ashis Saha, Andrew D. Skol, Matthew Stephens, Barbara E. Stranger, Benjamin J. Strober, Nicole A. Teran, Ana Viuela, Gao Wang, Xiaoquan Wen, Fred Wright, Valentin Wucher, Yuxin Zou, Pedro G. Ferreira, Gen Li, Marta Melé, Esti Yeger-Lotem, Mary E. Barcus, Debra Bradbury, Tanya Krubit, Jeffrey A. McLean, Liqun Qi, Karna Robinson, Nancy V. Roche, Anna M. Smith, Leslie Sobin, David E. Tabor, Anita Undale, Jason Bridge, Lori E. Brigham, Barbara A. Foster, Bryan M. Gillard, Richard Hasz, Marcus Hunter, Christopher Johns, Mark Johnson, Ellen Karasik, Gene Kopen, William F. Leinweber, Alisa McDonald, Michael T. Moser, Kevin Myer, Kimberley D. Ramsey, Brian Roe, Saboor Shad, Jeffrey A. Thomas, Gary Walters, Michael Washington, Joseph Wheeler, Scott D. Jewell, Daniel C. Rohrer, Dana R. Valley, David A. Davis, Deborah C. Mash, Philip A. Branton, Laura K. Barker, Heather M. Gardiner, Maghboeba Mosavel, Laura A. Siminoff, Paul Flicek, Maximilian Haeussler, Thomas Juettemann, W. James Kent, Christopher M. Lee

Issue&Volume: 2020-09-10

Abstract: Determining protein levels in each tissue and how they compare with RNA levels isimportant for understanding human biology and disease as well as regulatory processesthat control protein levels. We quantified the relative protein levels from over 12,000genes across 32 normal human tissues. Tissue-specific or tissue-enriched proteinswere identified and compared to transcriptome data. Many ubiquitous transcripts arefound to encode tissue-specific proteins. Discordance of RNA and protein enrichmentrevealed potential sites of synthesis and action of secreted proteins. The tissue-specificdistribution of proteins also provides an in-depth view of complex biological eventsthat require the interplay of multiple tissues. Most importantly, our study demonstratedthat protein tissue-enrichment information can explain phenotypes of genetic diseases,which cannot be obtained by transcript information alone. Overall, our results demonstratehow understanding protein levels can provide insights into regulation, secretome,metabolism, and human diseases.

DOI: 10.1016/j.cell.2020.08.036

Source: https://www.cell.com/cell/fulltext/S0092-8674(20)31078-3