Evidence map›Paper›PMID 31525182›Full record

ArticlePLoS computational biology2019

Frequency spectrum of chemical fluctuation: A probe of reaction mechanism and dynamics.

Sanggeun Song, Gil-Suk Yang, Seong Jun Park, Sungguan Hong, Ji-Hyun Kim, Jaeyoung Sung

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Sanggeun SongCenter for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul, Korea.ORCID 0000-0002-5827-3496
Gil-Suk YangCenter for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul, Korea.
Seong Jun ParkCenter for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul, Korea.ORCID 0000-0003-3399-135X
Sungguan HongDepartment of Chemistry, Chung-Ang University, Seoul, Korea.
Ji-Hyun KimCenter for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul, Korea.ORCID 0000-0003-1535-7224
Jaeyoung SungCenter for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul, Korea.ORCID 0000-0003-0712-296X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even in the steady-state, the number of biomolecules in living cells fluctuates dynamically, and the frequency spectrum of this chemical fluctuation carries valuable information about the dynamics of the reactions creating these biomolecules. Recent advances in single-cell techniques enable direct monitoring of the time-traces of the protein number in each cell; however, it is not yet clear how the stochastic dynamics of these time-traces is related to the reaction mechanism and dynamics. Here, we derive a rigorous relation between the frequency-spectrum of the product number fluctuation and the reaction mechanism and dynamics, starting from a generalized master equation. This relation enables us to analyze the time-traces of the protein number and extract information about dynamics of mRNA number and transcriptional regulation, which cannot be directly observed by current experimental techniques. We demonstrate our frequency spectrum analysis of protein number fluctuation, using the gene network model of luciferase expression under the control of the Bmal 1a promoter in mouse fibroblast cells. We also discuss how the dynamic heterogeneity of transcription and translation rates affects the frequency-spectra of the mRNA and protein number.

Indexed as

Gene Regulatory NetworksModels, BiologicalAnimalsCell LineComputational BiologyComputer SimulationMiceProteinsRNA, MessengerSingle-Cell AnalysisStochastic ProcessesProteinsRNA, Messenger

Identifiers

PMID31525182
PMCPMC6762214

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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.