Evidence map›Paper›PMID 36945401›Full record

ArticlebioRxiv : the preprint server for biology2023

The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.

Douglas E Weidemann, Abhyudai Singh, Ramon Grima, Silke Hauf

Open access · greenFull text 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Douglas E WeidemannDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
Ramon GrimaSchool of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JR, Scotland, UK.
Silke HaufDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Virginia Tech · USUniversity of Delaware · USUniversity of Edinburgh · GB

Funding

The role of the cyclin B 5'UTR in cyclin translation and functionR35GM119723 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HAUF, SILKE · 2016 to 2020
$1.8M
Generalized fluctuation test for deciphering phenotypic switching within cell populationsR35GM148351 · NIGMS · UNIVERSITY OF DELAWARE · PI Abhyudai Singh · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM119723NIGMS NIH HHS R35 GM148351
6 · The paper itself

Abstract

Stochastic variation in gene products ("noise") is an inescapable by-product of gene expression. Noise must be minimized to allow for the reliable execution of cellular functions. However, noise cannot be suppressed beyond an intrinsic lower limit. For constitutively expressed genes, this limit is believed to be Poissonian, meaning that the variance in mRNA numbers cannot be lower than their mean. Here, we show that several cell division genes in fission yeast have mRNA variances significantly below this limit, which cannot be explained by the classical gene expression model for low-noise genes. Our analysis reveals that multiple steps in both transcription and mRNA degradation are essential to explain this sub-Poissonian variance. The sub-Poissonian regime differs qualitatively from previously characterized noise regimes, a hallmark being that cytoplasmic noise is reduced when the mRNA export rate increases. Our study re-defines the lower limit of eukaryotic gene expression noise and identifies molecular requirements for ultra-low noise which are expected to support essential cell functions.

Identifiers

PMID36945401
PMCPMC10028819
OpenAlexW4323662359

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read63
identifiers read1
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 Socratic graph.