Evidence map›Paper›PMID 38202943›Full record

ArticleSensors (Basel, Switzerland)2023

Aggregation and Oligomerization Characterization of ß-Lactoglobulin Protein Using a Solid-State Nanopore Sensor.

Mitu C Acharjee, Brad Ledden, Brian Thomas, Xianglan He, Troy Messina, Jason Giurleo, David Talaga, Jiali Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Mitu C AcharjeeMaterial Science and Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Brad LeddenMaterial Science and Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Brian ThomasDepartment of Physics, University of Arkansas, Fayetteville, AR 72701, USA.
Xianglan HeDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Troy MessinaDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Jason GiurleoDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
David TalagaDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Jiali LiMaterial Science and Engineering, University of Arkansas, Fayetteville, AR 72701, USA.

Funding

New statistical tools for single molecule experimentsR01GM071684 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI TALAGA, DAVID S · 2004 to 2010
$1.2M
Solid-state Nanopore Identification for ProteinsR21HG003290 · NHGRI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI LI, JIALI · 2004 to 2009
$680k
NHGRI NIH HHS R21 HG003290NIGMS NIH HHS R01 GM071684
6 · The paper itself

Abstract

Protein aggregation is linked to many chronic and devastating neurodegenerative human diseases and is strongly associated with aging. This work demonstrates that protein aggregation and oligomerization can be evaluated by a solid-state nanopore method at the single molecule level. A silicon nitride nanopore sensor was used to characterize both the amyloidogenic and native-state oligomerization of a model protein ß-lactoglobulin variant A (βLGa). The findings from the nanopore measurements are validated against atomic force microscopy (AFM) and dynamic light scattering (DLS) data, comparing βLGa aggregation from the same samples at various stages. By calibrating with linear and circular dsDNA, this study estimates the amyloid fibrils' length and diameter, the quantity of the βLGa aggregates, and their distribution. The nanopore results align with the DLS and AFM data and offer additional insight at the level of individual protein molecular assemblies. As a further demonstration of the nanopore technique, βLGa self-association and aggregation at pH 4.6 as a function of temperature were measured at high (2 M KCl) and low (0.1 M KCl) ionic strength. This research highlights the advantages and limitations of using solid-state nanopore methods for analyzing protein aggregation.

Indexed as

NanoporesAgingDynamic Light ScatteringHumansLactoglobulinsProtein AggregatesLactoglobulinsProtein Aggregatesprotein aggregationprotein oligomerizationprotein volumesolid-state nanoporeß-lactoglobulin

Identifiers

PMID38202943
PMCPMC10781269

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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.