Evidence map›Paper›PMID 26190933›Full record

ArticleBiochemical engineering journal2014

Suppressing mutation-induced protein aggregation in mammalian cells by mutating residues significantly displaced upon the original mutation.

Simpson Gregoire, Kelly Glitzos, Inchan Kwon

Abstract read
In one paragraph

Article in Biochemical engineering journal, 2014. 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
0.6field-weighted citation impact, top 33% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Simpson GregoireDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22904-4741, United States.
Kelly GlitzosDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22904-4741, United States.
Inchan KwonDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22904-4741, United States ; School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 500-712, Republic of Korea.
University of Virginia · USGwangju Institute of Science and Technology · KR

Funding

Exploiting Trans-Suppression to Arrest hSOD Aggregation in ALSR21NS069946 · NINDS · UNIVERSITY OF VIRGINIA · PI KWON, INCHAN · 2010 to 2011
$395k
NINDS NIH HHS R21 NS069946
6 · The paper itself

Abstract

Mutations introduced to wild-type proteins naturally, or intentionally via protein engineering, often lead to protein aggregation. In particular, protein aggregation within mammalian cells has significant implications in the disease pathology and biologics production; making protein aggregation modulation within mammalian cells a very important engineering topic. Previously, we showed that the semi-rational design approach can be used to reduce the intracellular aggregation of a protein by recovering the conformational stability that was lowered by the mutation. However, this approach has limited utility when no rational design approach to enhance conformational stability is readily available. In order to overcome this limitation, we investigated whether the modification of residues significantly displaced upon the original mutation is an effective way to reduce protein aggregation in mammalian cells. As a model system, human copper, zinc superoxide dismutase mutant containing glycine to alanine mutation at position 93 (SOD1

Indexed as

mammalian cellsmutationprotein aggregationprotein engineeringsuperoxide dismutase

Identifiers

PMID26190933
PMCPMC4504021
OpenAlexW2066897013

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.