Evidence map›Paper›PMID 17577643›Full record

ArticlePharmaceutical research2007

A high-throughput method for detection of protein self-association and second virial coefficient using size-exclusion chromatography through simultaneous measurement of concentration and scattered light intensity.

Harminder Bajaj, Vikas K Sharma, Devendra S Kalonia

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Article in Pharmaceutical research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Harminder BajajDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, Connecticut 06269, USA.
Vikas K Sharma
Devendra S Kalonia
University of Connecticut · USGenesys (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo characterize protein self-association along with second virial coefficient (a measure of solution nonideality) using size-exclusion chromatography (SEC) utilizing a novel flow cell that is capable of simultaneously measuring protein concentration and scattered light intensity.

methodsbeta-lactoglobulin A (beta Lg), known to exhibit NaCl-dependent monomer-dimer equilibrium at pH 3.0, was used as the model protein. A range of concentrations and corresponding scattered light intensities, obtained in the eluting peak from a single protein injection, in different solution conditions, were used to generate the Debye plots [Formula: see text]. The Debye light scattering equation was modified to include the monomer-dimer equilibrium model and the second virial coefficient to analyze the data obtained.

resultsDebye plots of beta Lg, while linear at pH 2.3, 0 M NaCl (pure monomer) and at pH 3.0, 1 M NaCl (pure dimer), showed curvature at pH 3.0, for varying NaCl concentrations (0.02-0.5 M). The curvature was indicative of the association behavior of this protein. The modified Debye light scattering equation, when fit onto the nonlinear Debye plots, yielded apparent K (a) values ranging from 10(2) to 10(5) M(-1) under various solution conditions. The apparent K (a) values obtained from this method followed similar trend to those reported in literature.

conclusionsSEC combined with simultaneous detection of scattered light intensity and concentration provides a rapid means of detection of protein self-association. The short duration of sample detection and analysis combined with SEC makes this method a useful tool for high-throughput characterization of protein association during early stages of protein formulation.

Indexed as

Chromatography, GelLactoglobulinsLightProteinsScattering, RadiationSodium ChlorideLactoglobulinsProteinsSodium Chloride

Identifiers

PMID17577643
OpenAlexW2027392995

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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.