4.8 Article

Genetic interaction mapping informs integrative structure determination of protein complexes

期刊

SCIENCE
卷 370, 期 6522, 页码 1294-+

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aaz4910

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资金

  1. NIH [R01 GM084448, R01 GM084279, P50 GM081879, P50 AI150476, P01 HL089707, U54 NS100717, R01 GM098101, R01 GM083960, P50 GM082250, U19 AI135990, S10 OD021596, P41 GM109824, U54 RR020839, U54 GM103520, R35 GM118061, GM126900, P01GM105473, OD009180, GM123159, GM008284]
  2. National Key Research and Development Program of China [2017YFA0505103]
  3. Shenzhen Science and Technology Program [KQTD20180413181837372]
  4. Guangdong Provincial Key Laboratory of Synthetic Genomics [2019B030301006]
  5. Bureau of International Cooperation, Chinese Academy of Sciences [172644KYSB20180022]
  6. National Natural Science Foundation of China [31800069]

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Determining structures of protein complexes is crucial for understanding cellular functions. Here, we describe an integrative structure determination approach that relies on in vivo measurements of genetic interactions. We construct phenotypic profiles for point mutations crossed against gene deletions or exposed to environmental perturbations, followed by converting similarities between two profiles into an upper bound on the distance between the mutated residues. We determine the structure of the yeast histone H3-H4 complex based on similar to 500,000 genetic interactions of 350 mutants. We then apply the method to subunits Rpb1-Rpb2 of yeast RNA polymerase II and subunits RpoB-RpoC of bacterial RNA polymerase. The accuracy is comparable to that based on chemical cross-links; using restraints from both genetic interactions and cross-links further improves model accuracy and precision. The approach provides an efficient means to augment integrative structure determination with in vivo observations.

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