Evidence map›Paper›PMID 34002678›Full record

ReviewFly2021

In vivo assay and modelling of protein and mitochondrial turnover during aging.

Hans S Bell, John Tower

Open access · bronzeAbstract readReview
In one paragraph

Review in Fly, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Hans S BellMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
John TowerMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
University of Southern California · US

Funding

Sex-Specific Aging MechanismsR01AG057741 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOWER, JOHN GERARD · 2018 to 2021
$1.5M
CBI: Chemistry Biology InterfaceT32GM118289 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FORSBURG, SUSAN L · 2016 to 2020
$1.2M
NIA NIH HHS R01 AG057741NIGMS NIH HHS T32 GM118289
6 · The paper itself

Abstract

To maintain homoeostasis, cells must degrade damaged or misfolded proteins and synthesize functional replacements. Maintaining a balance between these processes, known as protein turnover, is necessary for stress response and cellular adaptation to a changing environment. Damaged mitochondria must also be removed and replaced. Changes in protein and mitochondrial turnover are associated with aging and neurodegenerative disease, making it important to understand how these processes occur and are regulated in cells. To achieve this, reliable assays of turnover must be developed. Several methods exist, including pulse-labelling with radioactive or stable isotopes and strategies making use of fluorescent proteins, each with their own advantages and limitations. Both cell culture and live animals have been used for these studies, in systems ranging from yeast to mammals. In vivo assays are especially useful for connecting turnover to aging and disease. With its short life cycle, suitability for fluorescent imaging, and availability of genetic tools,

Indexed as

AgingAnimalsDrosophila melanogasterDrosophila ProteinsGene Expression RegulationMaleMitochondriaDrosophila ProteinsagingDrosophilafluorescence microscopyisotope labellingmitophagyprotein turnovervideo tracking

Identifiers

PMID34002678
PMCPMC8143256
OpenAlexW3163142982

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.