Evidence map›Paper›PMID 27989436›Full record

ArticleMolecular cell2017

Gene Architectures that Minimize Cost of Gene Expression.

Idan Frumkin, Dvir Schirman, Aviv Rotman, Fangfei Li, Liron Zahavi, Ernest Mordret, Omer Asraf, Song Wu, Sasha F Levy, Yitzhak Pilpel

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Molecular cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Idan FrumkinDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Dvir SchirmanDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Aviv RotmanDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Fangfei LiLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Liron ZahaviDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Ernest MordretDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Omer AsrafDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Song WuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Sasha F LevyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY 11794, USA.
Yitzhak PilpelDepartment of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel. Electronic address: pilpel@weizmann.ac.il.

Funding

Establishing a Long Island Bioscience HubU01HL127522 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI RUBIN, CLINTON T · 2015 to 2017
$3.0M
PPiSeq: High-Throughput Protein-Protein Interaction SequencingR01HG008354 · NHGRI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LEVY, SASHA F · 2015 to 2018
$1.5M
NHGRI NIH HHS R01 HG008354NHLBI NIH HHS U01 HL127522
6 · The paper itself

Abstract

Gene expression burdens cells by consuming resources and energy. While numerous studies have investigated regulation of expression level, little is known about gene design elements that govern expression costs. Here, we ask how cells minimize production costs while maintaining a given protein expression level and whether there are gene architectures that optimize this process. We measured fitness of ∼14,000 E. coli strains, each expressing a reporter gene with a unique 5' architecture. By comparing cost-effective and ineffective architectures, we found that cost per protein molecule could be minimized by lowering transcription levels, regulating translation speeds, and utilizing amino acids that are cheap to synthesize and that are less hydrophobic. We then examined natural E. coli genes and found that highly expressed genes have evolved more forcefully to minimize costs associated with their expression. Our study thus elucidates gene design elements that improve the economy of protein expression in natural and heterologous systems.

Indexed as

Energy MetabolismGene Expression Regulation, BacterialGenetic FitnessTranscription, GeneticAmino AcidsEscherichia coliEscherichia coli ProteinsHydrophobic and Hydrophilic InteractionsProtein BiosynthesisRNA, MessengerTime FactorsAmino AcidsEscherichia coli ProteinsRNA, Messengerexpression costgene expressiongenome evolutionoptimal gene architecturesynthetic biologysynthetic librarysystems biologytranslation efficiency

Identifiers

PMID27989436
PMCPMC5506554

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.