Evidence map›Paper›PMID 26763330›Full record

ArticleJournal of the Royal Society, Interface2016

Bursting noise in gene expression dynamics: linking microscopic and mesoscopic models.

Yen Ting Lin, Tobias Galla

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Yen Ting LinTheoretical Physics, School of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK yenting.lin@manchester.ac.uk.ORCID http://orcid.org/0000-0001-6893-8423
Tobias GallaTheoretical Physics, School of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK.ORCID http://orcid.org/0000-0003-3402-2163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of short-lived mRNA results in bursts of protein production in gene regulatory networks. We investigate the propagation of bursting noise between different levels of mathematical modelling and demonstrate that conventional approaches based on diffusion approximations can fail to capture bursting noise. An alternative coarse-grained model, the so-called piecewise deterministic Markov process (PDMP), is seen to outperform the diffusion approximation in biologically relevant parameter regimes. We provide a systematic embedding of the PDMP model into the landscape of existing approaches, and we present analytical methods to calculate its stationary distribution and switching frequencies.

Indexed as

Models, BiologicalAnimalsGene Expression RegulationHumansProtein BiosynthesisRNA, MessengerRNA, Messengerbursting noisecoarse-grained modelsfirst passage timespiecewise deterministic Markov processstochastic processesweak noise limit

Identifiers

PMID26763330
PMCPMC4759790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.