Evidence map›Paper›PMID 26115222›Full record

ArticlePloS one2015

Active Degradation Explains the Distribution of Nuclear Proteins during Cellular Senescence.

Enrico Giampieri, Marco De Cecco, Daniel Remondini, John Sedivy, Gastone Castellani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Enrico GiampieriDepartment of Physics and Astronomy, Bologna University, Bologna, Italy and INFN Bologna.
Marco De CeccoDepartment of Molecular Biology, Cell Biology and Biochemistry, Center for Genomics and Proteomics, Brown University, Providence, RI, USA.
Daniel RemondiniDepartment of Physics and Astronomy, Bologna University, Bologna, Italy and INFN Bologna.
John SedivyDepartment of Molecular Biology, Cell Biology and Biochemistry, Center for Genomics and Proteomics, Brown University, Providence, RI, USA.
Gastone CastellaniDepartment of Physics and Astronomy, Bologna University, Bologna, Italy and INFN Bologna.
Istituto Nazionale di Fisica Nucleare, Sezione di Bologna · ITBrown University · US

Funding

Effectors of cellular senescence statesR37AG016694 · NIA · BROWN UNIVERSITY · PI SEDIVY, JOHN M · 2009 to 2018
$3.2M
NIA NIH HHS R37 AG016694
6 · The paper itself

Abstract

The amount of cellular proteins is a crucial parameter that is known to vary between cells as a function of the replicative passages, and can be important during physiological aging. The process of protein degradation is known to be performed by a series of enzymatic reactions, ranging from an initial step of protein ubiquitination to their final fragmentation by the proteasome. In this paper we propose a stochastic dynamical model of nuclear proteins concentration resulting from a balance between a constant production of proteins and their degradation by a cooperative enzymatic reaction. The predictions of this model are compared with experimental data obtained by fluorescence measurements of the amount of nuclear proteins in murine tail fibroblast (MTF) undergoing cellular senescence. Our model provides a three-parameter stationary distribution that is in good agreement with the experimental data even during the transition to the senescent state, where the nuclear protein concentration changes abruptly. The estimation of three parameters (cooperativity, saturation threshold, and maximal velocity of the reaction), and their evolution during replicative passages shows that only the maximal velocity varies significantly. Based on our modeling we speculate the reduction of functionality of the protein degradation mechanism as a possible competitive inhibition of the proteasome.

Indexed as

AlgorithmsAnimalsCellular SenescenceFibroblastsMiceModels, BiologicalNuclear ProteinsProteolysisNuclear Proteins

Identifiers

PMID26115222
PMCPMC4483236
OpenAlexW1258108929

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.