Evidence map›Paper›PMID 39572149›Full record

ArticleMethods in enzymology2024

Purification of heteromeric acetyl-CoA carboxylases from Escherichia coli for structure solution.

Amanda Silva de Sousa, Jeremy R Lohman

Abstract read
In one paragraph

Article in Methods in enzymology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Amanda Silva de SousaDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States.
Jeremy R LohmanDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States. Electronic address: jlohman@msu.edu.

Funding

Malonyl-thioester Isosteres to Determine Enzyme Structure-Function Relationships - Undergrad SupplementR01GM140290 · NIGMS · PURDUE UNIVERSITY · PI LOHMAN, JEREMY RAY · 2020 to 2023
$1.2M
NIGMS NIH HHS R01 GM140290
6 · The paper itself

Abstract

The primary role of acetyl-CoA carboxylases (ACCs) is to generate malonyl-CoA for use in fatty acid and lipid biosynthesis. However, malonyl-CoA is also used in other various metabolic processes such as secondary metabolite biosynthesis. The diverse utilization of malonyl-CoA makes ACCs targets for the development of inhibitors and also a target for engineering allosteric regulation for biofuel and secondary metabolite production. The ACC from Escherichia coli is representative most of bacterial systems, and is heteromeric, being comprised of four proteins encompassing three distinct subunits. Historically the purification of active E. coli ACC complexes has been problematic due to the reported facile dissociation into subunits. Most studies on heteromeric ACCs study the isolated subunits, which are active on their own. Nevertheless, in reconstituted systems, the subunits appear to have allosteric interactions. In this chapter, we provide methods to generate, purify and characterize these heteromeric ACCs complexes. We have used these methods to solve cryogenic electron microscopy structures of active E. coli ACC complexes. Purification of active ACC complexes represents a significant step forward in our ability to characterize how allosteric interactions and effectors alter catalytic activity. We expect future studies on the heteromeric ACC complexes will enable rational engineering of new antibiotics and biofuel production.

Indexed as

Acetyl-CoA CarboxylaseCryoelectron MicroscopyEscherichia coliEscherichia coli ProteinsProtein MultimerizationAcetyl-CoA CarboxylaseEscherichia coli Proteinscatalysisenzyme complexfilamentoperon

Identifiers

PMID39572149
PMCPMC12786354

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Registered trials

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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.