Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.
Natália AlmeidaJimmy RodriguezIndira Pla ParadaYasset Perez RiverolNicole WoldmarYonghyo KimHenriett OskolasLazaro BetancourtJeovanis Gil ValdésK Barbara SahlinLuciana PizzattiA Marcell SzaszSarolta KárpátiRoger AppelqvistJohan MalmGilberto B DomontFábio C S NogueiraGyörgy Marko-VargaAniel SanchezPublished in: Cancers (2021)
Plasma analysis by mass spectrometry-based proteomics remains a challenge due to its large dynamic range of 10 orders in magnitude. We created a methodology for protein identification known as Wise MS Transfer (WiMT). Melanoma plasma samples from biobank archives were directly analyzed using simple sample preparation. WiMT is based on MS1 features between several MS runs together with custom protein databases for ID generation. This entails a multi-level dynamic protein database with different immunodepletion strategies by applying single-shot proteomics. The highest number of melanoma plasma proteins from undepleted and unfractionated plasma was reported, mapping >1200 proteins from >10,000 protein sequences with confirmed significance scoring. Of these, more than 660 proteins were annotated by WiMT from the resulting ~5800 protein sequences. We could verify 4000 proteins by MS1t analysis from HeLA extracts. The WiMT platform provided an output in which 12 previously well-known candidate markers were identified. We also identified low-abundant proteins with functions related to (i) cell signaling, (ii) immune system regulators, and (iii) proteins regulating folding, sorting, and degradation, as well as (iv) vesicular transport proteins. WiMT holds the potential for use in large-scale screening studies with simple sample preparation, and can lead to the discovery of novel proteins with key melanoma disease functions.
Keyphrases
- mass spectrometry
- multiple sclerosis
- high resolution
- liquid chromatography
- ms ms
- protein protein
- high performance liquid chromatography
- small molecule
- stem cells
- emergency department
- machine learning
- high throughput
- gas chromatography
- transcription factor
- risk assessment
- capillary electrophoresis
- binding protein
- single molecule
- adverse drug
- tandem mass spectrometry
- drug induced
- genetic diversity
- solid phase extraction