Evidence map›Paper›PMID 32504874›Full record

ArticleiScience2020

Optimum Threshold Minimizes Noise in Timing of Intracellular Events.

Sherin Kannoly, Tianhui Gao, Supravat Dey, Ing-Nang Wang, Abhyudai Singh, John J Dennehy

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 43 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Sherin KannolyBiology Department, Queens College of The City University of New York, Queens, NY, USA.
Tianhui GaoBiology Department, Queens College of The City University of New York, Queens, NY, USA.
Supravat DeyDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA.
Ing-Nang WangDepartment of Biological Sciences, University at Albany, Albany, NY, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA. Electronic address: absingh@udel.edu.
John J DennehyBiology Department, Queens College of The City University of New York, Queens, NY, USA; The Graduate Center of The City University of New York, New York City, NY, USA. Electronic address: john.dennehy@qc.cuny.edu.
Queens College, CUNY · USUniversity of Delaware · USThe Graduate Center, CUNY · USUniversity at Albany, State University of New York · US

Funding

Consequences and Control of Randomness in Timing of Intracellular EventsR01GM124446 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2020
$914k
NIGMS NIH HHS R01 GM124446
6 · The paper itself

Abstract

How the noisy expression of regulatory proteins affects timing of intracellular events is an intriguing fundamental problem that influences diverse cellular processes. Here we use the bacteriophage λ to study event timing in individual cells where cell lysis is the result of expression and accumulation of a single protein (holin) in the Escherichia coli cell membrane up to a critical threshold level. Site-directed mutagenesis of the holin gene generated phage variants that vary in their lysis times from 30 to 190 min. Observation of the lysis times of single cells reveals an intriguing finding-the noise in lysis timing first decreases with increasing lysis time to reach a minimum and then sharply increases at longer lysis times. A mathematical model with stochastic expression of holin together with dilution from cell growth was sufficient to explain the non-monotonic noise profile and identify holin accumulation thresholds that generate precision in lysis timing.

Indexed as

Biological SciencesCell BiologyIn Silico Biology

Identifiers

PMID32504874
PMCPMC7276437
OpenAlexW3026696099

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.