期刊
CELL REPORTS
卷 40, 期 3, 页码 -出版社
CELL PRESS
DOI: 10.1016/j.celrep.2022.111103
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类别
资金
- National Institute of General Medical Sciences [GM122480, R35GM138348]
- Cancer Prevention and Research Institute of Texas [RR160088]
- National Science Foundation [2019238253]
- National Institutes of Health [HD085901, DK110520]
- Army Research Office [W911NF-19-1-0021]
- Welch Foundation [W911NF-15-1-0120, F-1515, F-1938]
- NIH [R00HD092613, L40HD096554]
This study reveals the proteome and interactome of red blood cells using quantitative mass spectrometry and machine learning, and builds structural models of protein complexes. It provides a comprehensive resource for future research.
Red blood cells (RBCs) (erythrocytes) are the simplest primary human cells, lacking nuclei and major organ-elles and instead employing about a thousand proteins to dynamically control cellular function and morphology in response to physiological cues. In this study, we define a canonical RBC proteome and inter-actome using quantitative mass spectrometry and machine learning. Our data reveal an RBC interactome dominated by protein homeostasis, redox biology, cytoskeletal dynamics, and carbon metabolism. We vali-date protein complexes through electron microscopy and chemical crosslinking and, with these data, build 3D structural models of the ankyrin/Band 3/Band 4.2 complex that bridges the spectrin cytoskeleton to the RBC membrane. The model suggests spring-like compression of ankyrin may contribute to the characteristic RBC cell shape and flexibility. Taken together, our study provides an in-depth view of the global protein or-ganization of human RBCs and serves as a comprehensive resource for future research.
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