Evidence map›Paper›PMID 30793216›Full record

ArticleThe European physical journal. E, Soft matter2019

First-passage time statistics of stochastic transcription process for time-dependent reaction rates.

Kuheli Biswas, Mayank Shreshtha, Anudeep Surendran, Anandamohan Ghosh

Abstract read
PubMed Publisher
In one paragraph

Article in The European physical journal. E, Soft matter, 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
0.5field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. First passage time in post-transcriptional regulation by multiple small RNAs.The European physical journal. E, Soft matter · 2021
    Article
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

4 authors at 2 institutions in 3 countries.

Kuheli BiswasIndian Institute of Science Education and Research Kolkata, 741246, Mohanpur, Nadia, India.
Mayank ShreshthaIndian Institute of Science Education and Research Kolkata, 741246, Mohanpur, Nadia, India.
Anudeep SurendranIndian Institute of Science Education and Research Kolkata, 741246, Mohanpur, Nadia, India.
Anandamohan GhoshIndian Institute of Science Education and Research Kolkata, 741246, Mohanpur, Nadia, India. anandamohan@iiserkol.ac.in.
Indian Institute of Science Education and Research Kolkata · INQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription in gene expression is an intrinsically noisy process which involves production and degradation of mRNAs. An important quantity to describe this stochastic process is the first-passage time (FPT), i.e., the time taken by mRNAs to reach a particular threshold. The process of transcription can be modelled as a simple birth-death process, assuming that the promoter is always in an active state and to encode the stochastic environment we consider the transcription rate to be time dependent. This generalization is suitable to capture bursty mRNA dynamics usually modelled as an ON-Off model and simplifies the calculation of FPT statistics for a cell population. We study the role of periodic modulation of the transcription rate on different moments of FPT distribution of a population of cells. Our calculation shows that for sinusoidal modulation there exists an extremal value of mean FPT as a function of the time period and phase of the transcription signal. However, for the square wave modulation of transcription rates simulation results show that the extremal value of the MFPT behaves monotonically with the variation of the phase.

Indexed as

Computer SimulationStochastic ProcessesTranscription, GeneticAlgorithmsDNAKineticsModels, GeneticRNA, MessengerRNA StabilityTime FactorsDNARNA, MessengerLiving systems: Biological networks

Identifiers

PMID30793216
OpenAlexW2917420285

What OpenQuestion holds

Textmetadata
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.