Evidence map›Paper›PMID 37292844›Full record

ArticlebioRxiv : the preprint server for biology2023

Replication initiation in bacteria: precision control based on protein counting.

Haochen Fu, Fangzhou Xiao, Suckjoon Jun

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Haochen FuDepartment of Physics, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093.
Fangzhou XiaoDepartment of Physics, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093.
Suckjoon JunDepartment of Physics and Department of Molecular Biology, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093.
University of California San Diego · US

Funding

Control of cellular resource allocation across biological scales in microorganismsR35GM139622 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JUN, SUCKJOON · 2021 to 2025
$2.3M
NIGMS NIH HHS R35 GM139622
6 · The paper itself

Abstract

Balanced biosynthesis is the hallmark of bacterial cell physiology, where the concentrations of stable proteins remain steady. However, this poses a conceptual challenge to modeling the cell-cycle and cell-size controls in bacteria, as prevailing concentration-based eukaryote models are not directly applicable. In this study, we revisit and significantly extend the initiator-titration model, proposed thirty years ago, and explain how bacteria precisely and robustly control replication initiation based on the mechanism of protein copy-number sensing. Using a mean-field approach, we first derive an analytical expression of the cell size at initiation based on three biological mechanistic control parameters for an extended initiator-titration model. We also study the stability of our model analytically and show that initiation can become unstable in multifork replication conditions. Using simulations, we further show that the presence of the conversion between active and inactive initiator protein forms significantly represses initiation instability. Importantly, the two-step Poisson process set by the initiator titration step results in significantly improved initiation synchrony with

Identifiers

PMID37292844
PMCPMC10246017
OpenAlexW4378603181

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.