4.6 Review Book Chapter

Quantitative Control for Stoichiometric Protein Synthesis

期刊

ANNUAL REVIEW OF MICROBIOLOGY, VOL 75, 2021
卷 75, 期 -, 页码 243-267

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev-micro-041921-012646

关键词

expression stoichiometry; proportional synthesis; operon mRNA isoform; differential RNA stability; differential translation

资金

  1. NIH [R35GM124732, T32 GM007287]
  2. NSF
  3. Smith Odyssey Award
  4. Pew Biomedical Scholars Program
  5. Sloan Research Fellowship
  6. Searle Scholars Program
  7. Smith Family Award for Excellence in Biomedical Research
  8. NSERC
  9. HHMI International Student Fellowship

向作者/读者索取更多资源

Bacterial protein synthesis rates have evolved to maintain precise stoichiometries by tuning transcription, RNA turnover, and translation. The expanding view of bacterial operons encoding diverse mRNA structures is key in achieving quantitative tuning of protein synthesis. The challenges and open questions in applying quantitative, genome-wide methodologies to precise protein production are also discussed.
Bacterial protein synthesis rates have evolved to maintain preferred stoichiometries at striking precision, from the components of protein complexes to constituents of entire pathways. Setting relative protein production rates to be well within a factor of two requires concerted tuning of transcription, RNA turnover, and translation, allowing many potential regulatory strategies to achieve the preferred output. The last decade has seen a greatly expanded capacity for precise interrogation of each step of the central dogma genome-wide. Here, we summarize how these technologies have shaped the current understanding of diverse bacterial regulatory architectures underpinning stoichiometric protein synthesis. We focus on the emerging expanded view of bacterial operons, which encode diverse primary and secondary mRNA structures for tuning protein stoichiometry. Emphasis is placed on how quantitative tuning is achieved. We discuss the challenges and open questions in the application of quantitative, genome-wide methodologies to the problem of precise protein production.

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