Evidence map›Paper›PMID 30301795›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow.

Elizabeth Brunk, Roger L Chang, Jing Xia, Hooman Hefzi, James T Yurkovich, Donghyuk Kim, Evan Buckmiller, Harris H Wang, Byung-Kwan Cho, Chen Yang and 3 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  3. Review
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  14. ACS synthetic biology · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Phosphoproteome Study ofFrontiers in microbiology · 2021
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Elizabeth BrunkDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-8578-8658
Roger L ChangDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115.
Jing XiaKey Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200032 Shanghai, China.
Hooman HefziDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
James T YurkovichDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0002-9403-509X
Donghyuk KimDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Evan BuckmillerDepartment of Biology, Brigham Young University, Provo, UT 84602.
Harris H WangDepartment of Systems Biology, Columbia University Medical Center, New York, NY 10032.ORCID 0000-0003-2164-4318
Byung-Kwan ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Chen YangKey Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200032 Shanghai, China.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115; gchurch@genetics.med.harvard.edu nlewisres@ucsd.edu.
Nathan E LewisDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093; gchurch@genetics.med.harvard.edu nlewisres@ucsd.edu.

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
NIGMS NIH HHS R01 GM057089NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

Understanding the complex interactions of protein posttranslational modifications (PTMs) represents a major challenge in metabolic engineering, synthetic biology, and the biomedical sciences. Here, we present a workflow that integrates multiplex automated genome editing (MAGE), genome-scale metabolic modeling, and atomistic molecular dynamics to study the effects of PTMs on metabolic enzymes and microbial fitness. This workflow incorporates complementary approaches across scientific disciplines; provides molecular insight into how PTMs influence cellular fitness during nutrient shifts; and demonstrates how mechanistic details of PTMs can be explored at different biological scales. As a proof of concept, we present a global analysis of PTMs on enzymes in the metabolic network of

Indexed as

Escherichia coliGene EditingMetabolic EngineeringProkaryotic CellsProtein Processing, Post-TranslationalProteinsWorkflowProteinsmetabolismomics dataposttranslational modificationsprotein chemistrysystems biology

Identifiers

PMID30301795
PMCPMC6205427

What OpenQuestion holds

Textmetadata
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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.