Evidence map›Paper›PMID 30310993›Full record

ReviewCurrent genetics2019

Aggregation and degradation scales for prion-like domains: sequence features and context weigh in.

Sean M Cascarina, Eric D Ross

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current genetics, 2019. 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
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Composition-based prediction and rational manipulation of prion-like domain recruitment to stress granules.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

2 authors at 1 institution in 1 country.

Sean M CascarinaDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, 80523, CO, USA.
Eric D RossDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, 80523, CO, USA. Eric.Ross@colostate.edu.ORCID http://orcid.org/0000-0002-6473-9977
Colorado State University · US

Funding

National Science Foundation MCB-1817622
6 · The paper itself

Abstract

Protein aggregation in vivo is generally combated by extensive proteostatic defenses. Many proteostasis factors specifically recognize aggregation-prone features and re-fold or degrade the targeted protein. However, protein aggregation is not uncommon, suggesting that some proteins employ evasive strategies to aggregate in spite of the proteostasis machinery. Therefore, in addition to understanding the inherent aggregation propensity of protein sequences, it is important to understand how these sequences affect proteostatic recognition and regulation in vivo. In a recent study, we used a genetic mutagenesis and screening approach to explore the aggregation or degradation promoting effects of the canonical amino acids in the context of G-rich and Q/N-rich prion-like domains (PrLDs). Our results indicate that aggregation propensity scales are strongly influenced by the interplay between specific PrLD features and proteostatic recognition. Here, we briefly review these results and expand upon their potential implications. In addition, a preliminary exploration of the yeast proteome suggests that these proteostatic regulation heuristics may influence the compositional features of native G-rich and Q/N-rich domains in yeast. These results improve our understanding of the features affecting the aggregation and proteostatic regulation of prion-like domains in a cellular context, and suggest that the sequence space for native prion-like domains may be shaped by proteostatic constraints.

Indexed as

Protein AggregatesProtein Interaction Domains and MotifsAnimalsGenetic VariationHumansHydrophobic and Hydrophilic InteractionsPrion ProteinsPrionsProtein Aggregation, PathologicalProtein BindingProteolysisPrion ProteinsPrionsProtein AggregatesLow complexity domainPrionPrion-likeProtein aggregationProtein degradationProteostasis

Identifiers

PMID30310993
OpenAlexW2896558083

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.