Evidence map›Paper›PMID 35193962›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Toward a glycyl radical enzyme containing synthetic bacterial microcompartment to produce pyruvate from formate and acetate.

Henning Kirst, Bryan H Ferlez, Steffen N Lindner, Charles A R Cotton, Arren Bar-Even, Cheryl A Kerfeld

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. 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
3.9field-weighted citation impact, top 5% of its field
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, 50 citations in OpenAlex.

  1. A Generative Neuro-Symbolic AI for Protein Sequence Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Chemical reviews · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Interfacing bacterial microcompartment shell proteins with genetically encoded condensates.Protein science : a publication of the Protein Society · 2025
    Article
  10. Label-Free Anti-Brownian Trapping of Single Nanoparticles in Solution.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Functionalization of bacterial microcompartment shell interior with cysteine containing peptides enhances the iron and cobalt loading capacity.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  17. Article
  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Henning KirstMichigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824.ORCID 0000-0002-6982-4345
Bryan H FerlezMichigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824.
Steffen N LindnerSystems and Synthetic Metabolism, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.ORCID 0000-0003-3226-3043
Charles A R CottonSystems and Synthetic Metabolism, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.ORCID 0000-0002-5322-5292
Arren Bar-EvenSystems and Synthetic Metabolism, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.ORCID 0000-0002-1039-4328
Cheryl A KerfeldMichigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824; ckerfeld@lbl.gov.ORCID 0000-0002-9977-8482
Max Planck Institute of Molecular Plant Physiology · DELawrence Berkeley National Laboratory · USMichigan State University · US

Funding

Structure and Function of Bacterial Microcompartment Shells from Human PathogensR01AI114975 · NIAID · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI KERFELD, CHERYL A · 2015 to 2022
$3.0M
NIAID NIH HHS R01 AI114975
6 · The paper itself

Abstract

Formate has great potential to function as a feedstock for biorefineries because it can be sustainably produced by a variety of processes that don't compete with agricultural production. However, naturally formatotrophic organisms are unsuitable for large-scale cultivation, difficult to engineer, or have inefficient native formate assimilation pathways. Thus, metabolic engineering needs to be developed for model industrial organisms to enable efficient formatotrophic growth. Here, we build a prototype synthetic formate utilizing bacterial microcompartment (sFUT) encapsulating the oxygen-sensitive glycyl radical enzyme pyruvate formate lyase and a phosphate acyltransferase to convert formate and acetyl-phosphate into the central biosynthetic intermediate pyruvate. This metabolic module offers a defined environment with a private cofactor coenzyme A that can cycle efficiently between the encapsulated enzymes. To facilitate initial design-build-test-refine cycles to construct an active metabolic core, we used a "wiffleball" architecture, defined as an icosahedral bacterial microcompartment (BMC) shell with unoccupied pentameric vertices to freely permit substrate and product exchange. The resulting sFUT prototype wiffleball is an active multi enzyme synthetic BMC functioning as platform technology.

Indexed as

AcetatesAcetyltransferasesBacteriaCell CompartmentationEscherichia coliFormatesMetabolic EngineeringPyruvic AcidSynthetic BiologyAcetatesAcetyltransferasesformate C-acetyltransferaseFormatesformic acidPyruvic Acidbacterial microcompartmentformate assimilationmetabolic engineeringsynthetic biology

Identifiers

PMID35193962
PMCPMC8872734
OpenAlexW4213448064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.