Evidence map›Paper›PMID 29862376›Full record

ArticleCurrent opinion in systems biology2018

Cell size control and gene expression homeostasis in single-cells.

Cesar A Vargas-Garcia, Khem Raj Ghusinga, Abhyudai Singh

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 73 citations in OpenAlex.

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  9. A GeneralizedbioRxiv : the preprint server for biology · 2024
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  12. mNature immunology · 2023
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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

3 authors at 2 institutions in 2 countries.

Cesar A Vargas-GarciaDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA.
Khem Raj GhusingaDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA.
University of Delaware · USFundación Universitaria Konrad Lorenz · CO

Funding

Stochastic hybrid systems approach to uncovering cell-size control mechanisms R01GM126557 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2019
$675k
NIGMS NIH HHS R01 GM126557
6 · The paper itself

Abstract

Growth of a cell and its subsequent division into daughters is a fundamental aspect of all cellular living systems. During these processes, how do individual cells correct size aberrations so that they do not grow abnormally large or small? How do cells ensure that the concentration of essential gene products are maintained at desired levels, in spite of dynamic/stochastic changes in cell size during growth and division? Both these questions have fascinated researchers for over a century. We review how advances in singe-cell technologies and measurements are providing unique insights into these questions across organisms from prokaryotes to human cells. More specifically, diverse strategies based on timing of cell-cycle events, regulating growth, and number of daughters are employed to maintain cell size homeostasis. Interestingly, size homeostasis often results in size optimality - proliferation of individual cells in a population is maximized at an optimal cell size. We further discuss how size-dependent expression or gene-replication timing can buffer concentration of a gene product from cell-to-cell size variations within a population. Finally, we speculate on an intriguing hypothesis that specific size control strategies may have evolved as a consequence of gene-product concentration homeostasis.

Indexed as

AdderBurst FrequencyBurst SizeCell-cycle timingCell size controlmRNA and protein concentration homeostasisOptimal cell size

Identifiers

PMID29862376
PMCPMC5978733
OpenAlexW2791507343

What OpenQuestion holds

Textmetadata
LicenceTDM
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.