From Structure to Systems: High-Resolution, Quantitative Genetic Analysis of RNA Polymerase II
Author(s) -
Hannes Braberg,
Huiyan Jin,
Erica A. Moehle,
Yujia A. Chan,
Shuyi Wang,
Michael Shales,
Joris J. Benschop,
John H. Morris,
Chenxi Qiu,
Fuqu Hu,
Leung K. Tang,
James S. Fraser,
Frank C. P. Holstege,
Philip Hieter,
Christine Guthrie,
Craig D. Kaplan,
Nevan J. Krogan
Publication year - 2013
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2013.07.033
Subject(s) - biology , computational biology , genetics , polymerase , evolutionary biology , dna
RNA polymerase II (RNAPII) lies at the core of dynamic control of gene expression. Using 53 RNAPII point mutants, we generated a point mutant epistatic miniarray profile (pE-MAP) comprising ∼60,000 quantitative genetic interactions in Saccharomyces cerevisiae. This analysis enabled functional assignment of RNAPII subdomains and uncovered connections between individual regions and other protein complexes. Using splicing microarrays and mutants that alter elongation rates in vitro, we found an inverse relationship between RNAPII speed and in vivo splicing efficiency. Furthermore, the pE-MAP classified fast and slow mutants that favor upstream and downstream start site selection, respectively. The striking coordination of polymerization rate with transcription initiation and splicing suggests that transcription rate is tuned to regulate multiple gene expression steps. The pE-MAP approach provides a powerful strategy to understand other multifunctional machines at amino acid resolution.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom