Evidence map›Paper›PMID 29666888›Full record

ArticleEuropean biophysics journal : EBJ2018

Precise determination of protein extinction coefficients under native and denaturing conditions using SV-AUC.

Andreas Hoffmann, Kerstin Grassl, Janine Gommert, Christian Schlesak, Alexander Bepperling

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Article in European biophysics journal : EBJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Andreas HoffmannHexal AG, Keltenring 1 + 3, 82041, Oberhaching, Germany.
Kerstin GrasslHexal AG, Keltenring 1 + 3, 82041, Oberhaching, Germany.
Janine GommertHexal AG, Keltenring 1 + 3, 82041, Oberhaching, Germany.
Christian SchlesakHexal AG, Keltenring 1 + 3, 82041, Oberhaching, Germany.
Alexander BepperlingHexal AG, Keltenring 1 + 3, 82041, Oberhaching, Germany. alexander.bepperling@novartis.com.ORCID http://orcid.org/0000-0001-9392-0700
Hexal (Germany) · DEElringKlinger (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate determination of protein concentration is an important though non-trivial task during the development of a biopharmaceutical. The fundamental prerequisite for this is the availability of an accurate extinction coefficient. Common approaches for the determination of an extinction coefficient for a given protein are either based on the theoretical prediction utilizing the amino acid sequence or the photometric determination combined with a measurement of absolute protein concentration. Here, we report on an improved SV-AUC based method utilizing an analytical ultracentrifuge equipped with absorbance and Rayleigh interference optics. Global fitting of datasets helped to overcome some of the obstacles encountered with the traditional method employing synthetic boundary cells. Careful calculation of dn/dc values taking glycosylation and solvent composition into account allowed the determination of the extinction coefficients of monoclonal antibodies and an Fc-fusion protein under native as well as under denaturing conditions. An intra-assay precision of 0.9% and an accuracy of 1.8% compared to the theoretical value was achieved for monoclonal antibodies. Due to the large number of data points of a single dataset, no meaningful difference between the ProteomeLab XL-I and the new Optima AUC platform could be observed. Thus, the AUC-based approach offers a precise, convenient and versatile alternative to conventional methods like total amino acid analysis (AAA).

Indexed as

Protein DenaturationArea Under CurveGlycosylationGuanidineUltracentrifugationGuanidineAnalytical ultracentrifugationBiopharmaceuticalExtinction coefficientMonoclonal antibodyMulti-signal sedimentation velocityRefractive index increment

Identifiers

PMID29666888
OpenAlexW2802215780

What OpenQuestion holds

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Registered trials

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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.