PXD019668

PXD019668 is an original dataset announced via ProteomeXchange.

Title	Optimized sample preparation, data processing of data-independent acquisition methods for the robust quantification of trace-level host cell protein impurities in drug products
Description	In this study, we developed powerful and reproducible MS-based analytical workflows coupling optimized and efficient sample preparations, library-free DIA acquisition method and stringent validation criteria. The performances of several preparation protocols and DIA versus classical DDA were evaluated using a series of four commercially available Drug Products. Depending on the selected protocols, the user has access to different information: on the one hand, a deep profiling of tens of identified HCPs, and on the other hand an accurate and reproducible (CV<12%) quantification of major HCPs. Overall, a final global HCP amount of a few tens of ppm in these mAb samples was measured, while reaching a sensitivity down to the sub-ppm level. Thus, this straightforward and robust approach can be intended as a routine quality control for whichever Drug Products’ analysis.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:13:49.276.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Nicolas Pythoud
SpeciesList	scientific name: Cricetulus griseus (Chinese hamster) (Cricetulus barabensis griseus); NCBI TaxID: 10029;
ModificationList	monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2020-06-09 06:09:55	ID requested
1	2020-10-19 01:18:26	announced
⏵ 2	2024-10-22 05:13:51	announced	2024-10-22: Updated project metadata.

10.1021/acs.jproteome.0c00664;

Pythoud N, Bons J, Mijola G, Beck A, Cianf, é, rani S, Carapito C, Optimized Sample Preparation and Data Processing of Data-Independent Acquisition Methods for the Robust Quantification of Trace-Level Host Cell Protein Impurities in Antibody Drug Products. J Proteome Res, 20(1):923-931(2021) [pubmed]

submitter keyword: Host cell proteins (HCP), Quantification, Data-independent analysis (DIA), Mass spectrometry, Sample preparation

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
Nicolas Pythoud
contact affiliation	University of Strasbourg
contact email	nicolas.pythoud@etu.unistra.fr
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/10/PXD019668

PRIDE project URI

• PRIDE
  1. PXD019668
     1. Label: PRIDE project
     2. Name: Optimized sample preparation, data processing of data-independent acquisition methods for the robust quantification of trace-level host cell protein impurities in drug products