Results 51 to 60 of about 490,947 (358)
Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics
Nature Communications, 2019 Spatial proteomics allows studying cellular protein localisations at system-wide scale. Here, the authors show that combining the previously developed hyperLOPIT method with differential centrifugation yields protein localisation maps at suborganellar ...
Aikaterini Geladaki +8 more
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Identifying individuals using proteomics: are we there yet?
Frontiers in Molecular Biosciences, 2022 Multi-omics approaches including proteomics analyses are becoming an integral component of precision medicine. As clinical proteomics studies gain momentum and their sensitivity increases, research on identifying individuals based on their proteomics ...
Ivo Fierro-Monti +3 more
doaj +1 more source
Oxidative stress response: a proteomic view [PDF]
Expert Rev Proteomics 2, 6 (2005) 949-56, 2008 The oxidative stress response is characterized by various effects on a range of biologic molecules. When examined at the protein level, both expression levels and protein modifications are altered by oxidative stress. While these effects have been studied in the past by classic biochemical methods, the recent onset of proteomics methods has allowed the
arxiv +1 more source
Open Research Europe, 2023 With the advent of robust and high-throughput mass spectrometric technologies and bioinformatics tools to analyze large data sets, proteomics has penetrated broadly into basic and translational life sciences research.
Filip Mundt +9 more
doaj
The Whereabouts of 2D Gels in Quantitative Proteomics [PDF]
Methods in Molecular Biology -Clifton then Totowa- 893 (2012)
25-35, 2012 Two-dimensional gel electrophoresis has been instrumental in the development of proteomics. Although it is no longer the exclusive scheme used for proteomics, its unique features make it a still highly valuable tool, especially when multiple quantitative comparisons of samples must be made, and even for large samples series.
arxiv +1 more source
Using R and Bioconductor for proteomics data analysis [PDF]
Biochim Biophys Acta. 1844 (2014) 1844 42-51, 2013 This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages a premium software for sound and reproducible data analysis.
arxiv +1 more source
Open Research Europe, 2023 With the advent of robust and high-throughput mass spectrometric technologies and bioinformatics tools to analyze large data sets, proteomics has penetrated broadly into basic and translational life sciences research.
Filip Mundt +9 more
doaj
Multidimensional separation prior to mass spectrometry: Getting closer to the bottom of the iceberg [PDF]
PROTEOMICS 13, 20 (2013) 2942-3, 2013 While prefractionation has previously been shown to improve results in MS analysis, a novel combination provides an additional dimension of separation: protein fractionation by SDS-PAGE followed by IEF of tryptic peptides before separation by RP-LC [Atanassov and Urlaub, Proteomics 2013, 13, 2947-2955].
arxiv +1 more source
Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry [PDF]
arXiv, 2023 Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry.
arxiv
The proteomic to biology inference, a frequently overlooked concern in the interpretation of proteomic data: A plea for functional validation [PDF]
PROTEOMICS 14, 2-3 (2014) 157-61, 2014 Proteomics will celebrate its 20th year in 2014. In this relatively short period of time, it has invaded most areas of biology and its use will probably continue to spread in the future. These two decades have seen a considerable increase in the speed and sensitivity of protein identification and characterization, even from complex samples.
arxiv +1 more source