Evidence map›Paper›PMID 39574612›Full record

ArticlebioRxiv : the preprint server for biology2024

Sticky enzymes: increased metabolic efficiency via substrate-dependent enzyme clustering.

Alejandro Martínez-Calvo, Jello Zhou, Yaojun Zhang, Ned S Wingreen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

4 authors.

Alejandro Martínez-CalvoORCID 0000-0002-2109-8145
Jello Zhou

Funding

Thermally robust chemotaxis and thermotaxis in Escherichia coliR01GM082938 · NIGMS · PRINCETON UNIVERSITY · PI WINGREEN, NED S · 2008 to 2025
$5.5M
Intra-and Inter-Species Communication in BacteriaR01GM065859 · NIGMS · PRINCETON UNIVERSITY · PI BASSLER, BONNIE L · 2002 to 2015
$4.2M
Learning principles from the pyrenoid, a phase-separated organelleR01GM140032 · NIGMS · PRINCETON UNIVERSITY · PI JONIKAS, MARTIN CASIMIR, WINGREEN, NED S · 2021 to 2024
$2.0M
NIGMS NIH HHS R01 GM065859NIGMS NIH HHS R01 GM082938NIGMS NIH HHS R01 GM140032
6 · The paper itself

Abstract

Coclustering of subsequent enzymes in a pathway can accelerate the processing of metabolic intermediates, with benefits including increased pathway fluxes, reduced toxicity, and sensitive branch-point regulation. While the optimal organization of such clusters has been explored theoretically, little is known about how to achieve such organization inside cells. Here we propose that phase-separating enzymes can self-organize into nearly-optimally sized and spaced clusters, provided that their "stickiness" is regulated by local substrate availability. In a nutshell, enzyme clusters only form when and where they are needed to process substrate. We study a mathematical model that implements this scheme for simple metabolic pathways, including all thermodynamic constraints. We find that pathway fluxes can be increased by 50 to 1000-fold and toxic metabolites can be decreased by 10 to 100-fold, at realistic enzyme densities. Finally, we discuss how enzyme "stickiness" could be allosterically regulated. This study presents a self-organization strategy that goes beyond current paradigms for natural and engineered enzyme clusters, and thus represents a motivating challenge to the fields of synthetic biology and metabolic engineering.

Identifiers

PMID39574612
PMCPMC11580970

What OpenQuestion holds

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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.