Evidence map›Paper›PMID 29911200›Full record

ArticleSynthetic and systems biotechnology2018

Investigating the consequences of asymmetric endoplasmic reticulum inheritance in

Felix R H Jonas, Kate E Royle, Rochelle Aw, Guy-Bart V Stan, Karen M Polizzi

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2018. 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

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.

  1. Article
  2. Principles and mechanisms of asymmetric cell division.Development (Cambridge, England) · 2020
    Review
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

5 authors.

Felix R H JonasDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom.
Kate E RoyleImperial College Centre for Synthetic Biology, London, SW7 2AZ, United Kingdom.
Rochelle AwImperial College Centre for Synthetic Biology, London, SW7 2AZ, United Kingdom.
Guy-Bart V StanDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom.
Karen M PolizziImperial College Centre for Synthetic Biology, London, SW7 2AZ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptation allows organisms to maintain a constant internal environment, which is optimised for growth. The unfolded protein response (UPR) is an example of a feedback loop that maintains endoplasmic reticulum (ER) homeostasis, and is characteristic of how adaptation is often mediated by transcriptional networks. The more recent discovery of asymmetric division in maintaining ER homeostasis, however, is an example of how alternative non-transcriptional pathways can exist, but are overlooked by gold standard transcriptomic or proteomic population-based assays. In this study, we have used a combination of fluorescent reporters, flow cytometry and mathematical modelling to explore the relative roles of asymmetric cell division and the UPR in maintaining ER homeostasis. Under low ER stress, asymmetric division leaves daughter cells with an ER deficiency, necessitating activation of the UPR and prolonged cell cycle during which they can recover ER functionality before growth. Mathematical analysis of and simulation results from our mathematical model reinforce the experimental observations that low ER stress primarily impacts the growth rate of the daughter cells. These results demonstrate the interplay between homeostatic pathways and the importance of exploring sub-population dynamics to understand population adaptation to quantitatively different stresses.

Indexed as

AdaptationAsymmetric cell divisionEndoplasmic reticulum stressSaccharomyces cerevisiaeUnfolded protein response

Identifiers

PMID29911200
PMCPMC5884231

What OpenQuestion holds

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Registered trials

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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.