Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310484748> ?p ?o ?g. }
- W4310484748 abstract "The surface chemical characteristics of nanomaterials have a substantial impact on the affinity probe used to enrich proteins and peptides for MALDI-MS analysis of a real human sample. Detecting phosphoproteins involved in signalling is always difficult, even with recent developments in mass spectrometry, because protein phosphorylation is often temporary from complicated mixtures. This review summarizes current research on the successful enrichment of various intriguing glycoproteins and glycol peptides using surface affinity materials with distinctive qualities such as low cost, excellent structural stability, diversity, and multifunction. As a consequence, this review will provide a quick overview of the scholars from various backgrounds who are working in this intriguing interdisciplinary field. Label-free cancer biomarkers and other diseases will benefit from future challenges." @default.
- W4310484748 created "2022-12-11" @default.
- W4310484748 creator A5042119593 @default.
- W4310484748 creator A5065721739 @default.
- W4310484748 date "2022-12-01" @default.
- W4310484748 modified "2023-09-25" @default.
- W4310484748 title "Label-free designed nanomaterials enrichment and separation techniques for phosphoproteomics based on mass spectrometry" @default.
- W4310484748 cites W1934555946 @default.
- W4310484748 cites W1969185603 @default.
- W4310484748 cites W1974683065 @default.
- W4310484748 cites W1984517322 @default.
- W4310484748 cites W1995008714 @default.
- W4310484748 cites W1997523669 @default.
- W4310484748 cites W1998261260 @default.
- W4310484748 cites W2004157657 @default.
- W4310484748 cites W200569257 @default.
- W4310484748 cites W2013126061 @default.
- W4310484748 cites W2018055571 @default.
- W4310484748 cites W2038264777 @default.
- W4310484748 cites W2043418405 @default.
- W4310484748 cites W2044865804 @default.
- W4310484748 cites W2045820249 @default.
- W4310484748 cites W2047004418 @default.
- W4310484748 cites W2053720633 @default.
- W4310484748 cites W2063527102 @default.
- W4310484748 cites W2072970939 @default.
- W4310484748 cites W2078729809 @default.
- W4310484748 cites W2095588037 @default.
- W4310484748 cites W2102618395 @default.
- W4310484748 cites W2128134586 @default.
- W4310484748 cites W2144466990 @default.
- W4310484748 cites W2150858835 @default.
- W4310484748 cites W2158395929 @default.
- W4310484748 cites W2167022988 @default.
- W4310484748 cites W2257182900 @default.
- W4310484748 cites W2298856621 @default.
- W4310484748 cites W2333472857 @default.
- W4310484748 cites W2415307463 @default.
- W4310484748 cites W2417996331 @default.
- W4310484748 cites W2435938077 @default.
- W4310484748 cites W2436016506 @default.
- W4310484748 cites W2513665105 @default.
- W4310484748 cites W2536235203 @default.
- W4310484748 cites W2547782348 @default.
- W4310484748 cites W2553247873 @default.
- W4310484748 cites W2742636136 @default.
- W4310484748 cites W2752792323 @default.
- W4310484748 cites W2765212497 @default.
- W4310484748 cites W2765601065 @default.
- W4310484748 cites W2765775381 @default.
- W4310484748 cites W2776709995 @default.
- W4310484748 cites W2783855936 @default.
- W4310484748 cites W2792514932 @default.
- W4310484748 cites W2885814196 @default.
- W4310484748 cites W2896882920 @default.
- W4310484748 cites W2900125153 @default.
- W4310484748 cites W2931413826 @default.
- W4310484748 cites W2941116679 @default.
- W4310484748 cites W2945939089 @default.
- W4310484748 cites W2978958386 @default.
- W4310484748 cites W2981231304 @default.
- W4310484748 cites W2993402465 @default.
- W4310484748 cites W2995103612 @default.
- W4310484748 cites W2998913628 @default.
- W4310484748 cites W3005045932 @default.
- W4310484748 cites W3011779274 @default.
- W4310484748 cites W3030505384 @default.
- W4310484748 cites W3039492798 @default.
- W4310484748 cites W3044448842 @default.
- W4310484748 cites W3047360653 @default.
- W4310484748 cites W3152110994 @default.
- W4310484748 cites W3178685918 @default.
- W4310484748 cites W3178761710 @default.
- W4310484748 cites W3201394451 @default.
- W4310484748 cites W4200320464 @default.
- W4310484748 cites W4200598850 @default.
- W4310484748 cites W4206589705 @default.
- W4310484748 doi "https://doi.org/10.3389/fnano.2022.1047055" @default.
- W4310484748 hasPublicationYear "2022" @default.
- W4310484748 type Work @default.
- W4310484748 citedByCount "1" @default.
- W4310484748 countsByYear W43104847482023 @default.
- W4310484748 crossrefType "journal-article" @default.
- W4310484748 hasAuthorship W4310484748A5042119593 @default.
- W4310484748 hasAuthorship W4310484748A5065721739 @default.
- W4310484748 hasBestOaLocation W43104847481 @default.
- W4310484748 hasConcept C104317684 @default.
- W4310484748 hasConcept C11960822 @default.
- W4310484748 hasConcept C127413603 @default.
- W4310484748 hasConcept C138631740 @default.
- W4310484748 hasConcept C162356407 @default.
- W4310484748 hasConcept C171250308 @default.
- W4310484748 hasConcept C183696295 @default.
- W4310484748 hasConcept C185592680 @default.
- W4310484748 hasConcept C192562407 @default.
- W4310484748 hasConcept C41008148 @default.
- W4310484748 hasConcept C43617362 @default.
- W4310484748 hasConcept C46111723 @default.
- W4310484748 hasConcept C55493867 @default.
- W4310484748 hasConcept C6675166 @default.