PXD051062-1

PXD051062 is an original dataset announced via ProteomeXchange.

Title	A comparative analysis of digestion methods for bile proteomics: the key to unlocking biliary biomarker potential in liver transplantation
Description	Bile has gained increasing attention for its potential to reflect the overall health of the biliary system. Proteomic analysis of bile could deepen our understanding of the molecular pathophysiology of biliary disease and injury and provides a potential source of diagnostic biomarkers. With the emergence of normothermic machine perfusion (NMP) prior to liver transplantation, bile samples can be easily collected and analyzed. However, the unique composition of bile, including high concentrations of endogenous detergents and salts, can make application of proteomics challenging. In this study, we systematically evaluated a variety of available trypsin-digestion methods to optimize proteomics analysis of bile obtained from human NMP livers. Bile was collected from 12 human donor livers that were accepted for transplantation after NMP viability assessment. We performed tryptic digestion using 6 different methods: in-gel, in-solution, S-Trap, SMART, EasyPep, and filter-aided sample purification, with or without an additional precipitation step prior to digestion. Untargeted, data-independent acquisition proteomics was performed using an Exploris 480 mass spectrometer coupled with a FAIMS device. The methods were judged for total protein IDs, variation, and specific protein characteristics to determine the most optimal method. A total of 4650 unique proteins were identified across all samples and all methods. Methods involving precipitation identified substantially more proteins (4500 vs 3815, respectively). In-gel crude was the exception, identifying a comparable number of proteins to precipitated in-gel digest. We found minimal differences in the mass, cellular component, or hydrophobicity of identified proteins between methods. Intra-method variability was notably diverse, with in-gel, in-solution, and EasyPep outperforming other methods with considerably less variation. Age-related biological comparisons revealed significant disparities in protein abundances between methods, but younger donors consistently showed upregulation of metabolic-related processes compared to older donors. Older donors showed upregulation of immune response and cell cycle-related processes. The digestion method used for proteomic analysis of bile can heavily influence the results obtained. A method of protein purification appears to be essential for sufficient quality mass spectrometry runs and subsequent data. Sample processing speed, cost, cleanliness, and reproducibility should be carefully considered when selecting a protein digestion method for this difficult sample type.
HostingRepository	PRIDE
AnnounceDate	2024-08-27
AnnouncementXML	Submission_2024-08-27_02:53:58.105.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Adam Thorne
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2024-03-28 08:49:20	ID requested
⏵ 1	2024-08-27 02:53:58	announced
2	2024-10-22 06:56:40	announced	2024-10-22: Updated project metadata.

Dataset with its publication pending

submitter keyword: Human, bile, proteomics, liver, methods, ageing, biomarker

Justina C Wolters
contact affiliation	Department of pediatrics, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
contact email	j.c.wolters@umcg.nl
lab head
Adam Thorne
contact affiliation	University Medical Center Groningen
contact email	a.m.thorne@umcg.nl
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD051062
     1. Label: PRIDE project
     2. Name: A comparative analysis of digestion methods for bile proteomics: the key to unlocking biliary biomarker potential in liver transplantation