Evidence map›Paper›PMID 30181040›Full record

ReviewDNA repair2018

Mutations, protein homeostasis, and epigenetic control of genome integrity.

Jinglin Lucy Xie, Daniel F Jarosz

Abstract readReview
In one paragraph

Review in DNA repair, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Integrative Analysis of the Ethanol Tolerance ofInternational journal of molecular sciences · 2023
    Article
  6. Senescence in Bacteria and Its Underlying Mechanisms.Frontiers in cell and developmental biology · 2021
    Review
  7. Review
  8. 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.

Jinglin Lucy XieDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, United States.
Daniel F JaroszDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, United States; Department of Developmental Biology, Stanford University, Stanford, CA 94305, United States. Electronic address: jarosz@stanford.edu.

Funding

Protein-based Molecular Memories in Gene Regulation, Disease, and DevelopmentDP2GM119140 · NIGMS · STANFORD UNIVERSITY · PI JAROSZ, DANIEL · 2015 to 2015
$2.4M
NIGMS NIH HHS DP2 GM119140
6 · The paper itself

Abstract

From bacteria to humans, ancient stress responses enable organisms to contend with damage to both the genome and the proteome. These pathways have long been viewed as fundamentally separate responses. Yet recent discoveries from multiple fields have revealed surprising links between the two. Many DNA-damaging agents also target proteins, and mutagenesis induced by DNA damage produces variant proteins that are prone to misfolding, degradation, and aggregation. Likewise, recent studies have observed pervasive engagement of a p53-mediated response, and other factors linked to maintenance of genomic integrity, in response to misfolded protein stress. Perhaps most remarkably, protein aggregation and self-assembly has now been observed in multiple proteins that regulate the DNA damage response. The importance of these connections is highlighted by disease models of both cancer and neurodegeneration, in which compromised DNA repair machinery leads to profound defects in protein quality control, and vice versa.

Indexed as

DNA DamageDNA RepairEpigenesis, GeneticGenomeMutationProteostasisAnimalsBacteriaDNAEukaryotaHumansNeoplasmsNeurodegenerative DiseasesDNAAgingDNA repairEpigeneticsMutagenesisProtein homeostasisStress response

Identifiers

PMID30181040
PMCPMC6340753

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.