PXD029305 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Host Cell Protein Quantification Workflow Using Optimized Standards combined with Data-Independent Acquisition Mass Spectrometry |
Description | Monitoring of host cell proteins (HCPs) during the manufacture of monoclonal antibodies (mAb) has become a critical requirement to provide effective and safe drug product. ELISA assays are still the current gold standard for the quantification of protein impurities. However, this technique has several limitations and does, among others, not enable the precise identification of proteins. In this context, mass spectrometry (MS) has emerged as an alternative and orthogonal method that delivers qualitative and quantitative information on all identified HCPs. However, in order to be routinely implemented in biopharmaceutical companies, liquid chromatography (LC)-MS based methods still need to be standardized to provide highest sensitivity and robust and accurate quantification. In this study, we developed a promising MS-based analytical workflow coupling the use of an innovative quantification standard, the HCP Profiler solution, with a spectral library-based data-independent acquisition (DIA) method and strict data validation criteria. The performance of the HCP Profiler solution was compared to more conventional standard protein spikes and the DIA approach was benchmarked against classical data-dependent acquisition (DDA) using samples collected at various stages of the manufacturing process. Finally, we further explored the possibility to use spectral library-free DIA. As a result, our method showed accurate and reproducible (coefficients of variation (CVs) < 10%) quantification of HCPs while reaching a sensitivity down to the sub-ng/mg mAb level. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_09:03:46.641.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Steve Hessmann |
SpeciesList | scientific name: Cricetulus griseus (Chinese hamster) (Cricetulus barabensis griseus); NCBI TaxID: 10029; |
ModificationList | acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive HF-X |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-10-24 23:57:24 | ID requested | |
1 | 2023-07-20 12:09:46 | announced | |
⏵ 2 | 2023-11-14 09:03:50 | announced | 2023-11-14: Updated project metadata. |
Publication List
Hessmann S, Chery C, Sikora AS, Gervais A, Carapito C, Host cell protein quantification workflow using optimized standards combined with data-independent acquisition mass spectrometry. J Pharm Anal, 13(5):494-502(2023) [pubmed] |
Keyword List
submitter keyword: HCP Profiler, protein quantification, data validation., data-independent acquisition (DIA),host cell proteins (HCPs) |
Contact List
Christine Carapito |
contact affiliation | Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC, UMR 7178, 25 Rue Becquerel, F-67087 Strasbourg, France |
contact email | ccarapito@unistra.fr |
lab head | |
Steve Hessmann |
contact affiliation | LSMBO IPHC CNRS |
contact email | steve.hessmann2@etu.unistra.fr |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD029305
- Label: PRIDE project
- Name: Host Cell Protein Quantification Workflow Using Optimized Standards combined with Data-Independent Acquisition Mass Spectrometry