PreprintCited by 0Protein purification and stabilityAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Application of sample displacement batch chromatography for fractionation of proteoforms

Open access

Preprint — published as 10.1002/pmic.202200424

Abstract

Fractionation of proteoforms is currently the most challenging topic in the field of protein purification. The need for considering the existence of proteoforms into experimental approaches is not only important in Life Science research in general but especially in the manufacturing of therapeutic proteins (TPs) like recombinant therapeutic antibodies (mAbs). Some of the proteoforms of TPs have significantly decreased actions or even cause side effects. The identification and removal of proteoforms differing from the main species, having the desired action, is challenging because the difference in the composition of atoms often is very small and their concentration in comparison to the main proteoform can be small. In this study we demonstrate that sample displacement batch chromatography (SDBC) is an easy to handle, economic and efficient method for fractionating proteoforms. As a model sample a commercial ovalbumin fraction was used, containing many ovalbumin proteoforms. The most promising parameters for the SDBC were determined by a screening approach and applied for a 10-segment fractionation of the ovalbumin with cation exchange chromatography resin. Mass spectrometry of intact proteoforms was used for characterizing the SDBC fractionation process. By SDBC a significant separation of different proteoforms was obtained.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.22541/au.167845030.02114773/v1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Metadata

Authors
Hidayah, S. N., Gaikwad, M., Biabani, A., Nissen, P., Siebels, B., Voß, H., Riedner, M., & Schlüter, H.
Affiliations
  • Universitas Gadjah Mada (ID)
  • University Medical Center Hamburg-Eppendorf (DE)
  • Universität Hamburg (DE)
Corresponding author
  • Siebels, Bente
  • Schlüter, Hartmut
Venue
PROTEOMICS
Publisher
Wiley
Published
2023-03-10
Volume
24
Issue
3-4
Pages
e2200424-e2200424
ISSN
1615-9853 (ISSN-L)
OpenAlex
W4387034074
Cited by
0
References
1
FWCI
0.00
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • PROTEOMICS (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • European Commission (HORIZON2020, 765502)
  • Deutsche Forschungsgemeinschaft (INST 337/16‐1, INST337/15-1, INST 152/837‐1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein purification and stability
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
Keywords
proteoforms, ovalbumin, cation exchange chromatography, therapeutic proteins, protein heterogeneity
MeSH terms
Chromatography, Ovalbumin, Protein Processing, Post-Translational, Proteome, Tandem Mass Spectrometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review