Dataset Information

NC HHEAR Hub Pilot Study within the HHEAR Consortium

ABSTRACT: This data generation, and subsequent data analysis was conducted by the NC HHEAR Hub as part of a larger HHEAR Consortium Pilot Study. A goal of this study to compare the metabolite identifications and annotations provided by HHEAR Consortium Laboratories as well as non-HHEAR Consortium Laboratories. Urine samples were provided by the Duke HHEAR Hub. This included pools of 3 spot urines collected over 48 hours, which were selected based on maximum overlap of collected data on other exposure matrices (targeted PFAS panel (serum), passive air sampling, wristband data). Dr. Yuan Li of the NC HHEAR Hub had primary responsibility for the generation of the untargeted data.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Urine

SUBMITTER: Yuan Li

PROVIDER: ST002103 | MetabolomicsWorkbench | Mon Feb 07 00:00:00 GMT 2022

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The foundation for integrating mass spectrometry (MS)-based proteomics into systems medicine is to develop standardized start-to-finish and fit-for-purpose workflows for clinical specimens. An essential step in this pursuit is to highlight common ground in a diverse landscape of different sample preparation techniques and LC-MS setups with the aim to explore differences and potential confounding factors as well as to identify areas for improvement with a direct practical benefit. With the aim to benchmark and improve current best practices among the proteomics MS laboratories of the CLINSPECT-M consortium we performed two consecutive round robin studies with full freedom to operate in terms of sample preparation and MS measurements. The six participating study partners were provided with two clinically relevant sample matrices: plasma, and cerebrospinal fluid (CSF). In the first round each laboratory applied their current best practice protocol for the respective matrix, covering laboratory-specific sample proteolysis, liquid chromatography, and MS measurement procedure. All resulting MS files were analyzed centrally by a standardized pipeline. Based on the achieved results and following a fully transparent exchange of all lab-specific protocols within the consortium, each laboratory could improve their methods before measuring the same samples in a second acquisition round. The results of both measurement time points are compared with respect to identifications (IDs), data completeness, retention time and quantitative precision as well as inter-laboratory reproducibility. For instance, the number of identified protein groups was increased on average by 14% for CSF and 5% for plasma from first to second measurement round across participants resulting in a median overlap number of 579 protein groups for CSF and 246 IDs for plasma across setups. The individual performances of participating study centers and the inter-laboratory reproducibility were improved in the second measurement, emphasizing the effect and importance of expert-driven exchange of best practices. In total, the study not only clearly demonstrates the beneficial effect of sharing knowledge and expertise for direct practical improvements but also highlights tendencies such as common limits of detection or preferable preparation strategies.

Dataset Information

NC HHEAR Hub Pilot Study within the HHEAR Consortium

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets