Evidence map›Paper›PMID 25843955›Full record

ArticleAIChE journal. American Institute of Chemical Engineers2014

Evaluation of Nanoparticle Tracking for Characterization of Fibrillar Protein Aggregates.

Dennis T Yang, Xiaomeng Lu, Yamin Fan, Regina M Murphy

Open access · greenAbstract read
In one paragraph

Article in AIChE journal. American Institute of Chemical Engineers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Nanoparticle Tracking for Protein Aggregation Research.Methods in molecular biology (Clifton, N.J.) · 2018
    Article
  8. Article
  9. Article
  10. Transthyretin variants with improved inhibition of β-amyloid aggregation.Protein engineering, design & selection : PEDS · 2016
    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

4 authors at 2 institutions in 2 countries.

Dennis T YangDept. of Chemical and Biological Engineering, University of Wisconsin, Madison, WI 53706.
Xiaomeng LuBiophysics Program, University of Wisconsin, Madison, WI 53706.
Yamin FanDept. of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang, P.R. China.
Regina M MurphyDept. of Chemical and Biological Engineering, University of Wisconsin, Madison, WI 53706.
University of Wisconsin–Madison · USZhejiang University · CN

Funding

Tranthyretin's Regulatory Role in Beta-Amyloid Aggregation and ToxicityR01AG033493 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, JEFFREY A, MURPHY, REGINA M. · 2009 to 2016
$2.7M
NIA NIH HHS R01 AG033493
6 · The paper itself

Abstract

Amyloidogenesis is the process of formation of protein aggregates with fibrillar morphology. Because amyloidogenesis is linked to neurodegenerative disease, there is interest in understanding the mechanism of fibril growth. Kinetic models of amyloidogenesis require data on the number concentration and size distribution of aggregates, but this information is difficult to obtain using conventional methods. Nanoparticle tracking analysis (NTA) is a relatively new technique that may be uniquely suited for obtaining these data. In NTA, the two-dimensional (2-D) trajectory of individual particles is tracked, from which the diffusion coefficient, and, hence, hydrodynamic radius is obtained. Here we examine the validity of NTA in tracking number concentration and size of DNA, as a model of a fibrillar macromolecule. We use NTA to examine three amyloidogenic materials: beta-amyloid, transthyretin, and polyglutamine-containing peptides. Our results are instructive in demonstrating the advantages and some limitations of single-particle diffusion measurements for investigating aggregation in protein systems.

Indexed as

amyloidDNAfibrilsnanoparticle trackingprotein aggregation

Identifiers

PMID25843955
PMCPMC4380166
OpenAlexW2000697756

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.