Two-dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FT-ICR MS) allows data-independent fragmentation of all ions in a sample and correlation of fragment ions to their precursors through the modulation of precursor ion cyclotron radii prior to fragmentation. Previous results show that implementation of 2D FT-ICR MS with infrared multi-photon dissociation (IRMPD) and electron capture dissociation (ECD) has turned this method into a useful analytical tool. In this work, IRMPD tandem mass spectrometry of calmodulin (CaM) has been performed both in one-dimensional and two-dimensional FT-ICR MS using a top-down and bottom-up approach. 2D IRMPD FT-ICR MS is used to achieve extensive inter-residue bond cleavage and assignment for CaM, using its unique features for fragment identification in a less time- and sample-consuming experiment than doing the same thing using sequential MS/MS experiments. Graphical Abstract ᅟ.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s13361-016-1431-z | DOI Listing |
Cortex
December 2024
Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Bilingual language control is a dynamic cognitive system that enables individuals to effectively manage language use and prevent interference when switching between languages. Research indicates that certain neurodegenerative conditions may influence language-switching abilities or hinder the suppression of cross-language interference. However, it remains uncertain whether neurodegeneration primarily affecting mesial temporal structures, such as Mild Cognitive Impairment (MCI), impacts lexical retrieval in dual-language naming conditions.
View Article and Find Full Text PDFJ Exp Psychol Hum Percept Perform
January 2025
Faculte de Psychologie et des Sciences de l'Education, Universite de Geneve.
Visual working memory (VWM) is a core cognitive system enabling us to select and briefly store relevant visual information. We recently observed that more salient items were recalled more precisely from VWM and demonstrated that these effects of salience resisted manipulations of reward, probability, and selection history. Here, we investigated whether and how salience interacts with shifts of attention induced by pre- and retrocueing.
View Article and Find Full Text PDFACS Nano
January 2025
College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, P. R. China.
Since the invention and commercialization of poly(-phenylene benzobisoxazole) (PBO) fibers, numerous breakthroughs in applications have been realized both in the military and aerospace industries, attributed to its superb properties. Particularly, PBO nanofibers (PNFs) not only retain the high performance of PBO fiber but also exhibit impressive nanofeatures and desirable processability, which have been extensively applied in extreme scenarios. However, no review has yet comprehensively summarized the preparation, applications, and prospective challenges of PNFs to the best of our knowledge.
View Article and Find Full Text PDFISME Commun
January 2024
Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, P.R. China.
Periphyton acts as an important primary producer in stream food webs with bottom-up grazing pressure and is also subject to effects of top-down grazing pressure. However, the underlying mechanisms of these interactions remain unclear. In this study we conducted a mesocosm experiment to explore the periphyton response to grazing pressure by the freshwater snail in relation to food quality indicated by polyunsaturated fatty acid (PUFA) biomarkers, including eicosapentaenoic acid (20:5n3) and the 22C fatty acid docosahexaenoic acid (22:6n3), which are essential for cell growth and reproduction and cannot be synthesized by most consumers of periphyton.
View Article and Find Full Text PDFJ Mach Learn Res
January 2024
Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA.
This article presents a novel method for causal discovery with generalized structural equation models suited for analyzing diverse types of outcomes, including discrete, continuous, and mixed data. Causal discovery often faces challenges due to unmeasured confounders that hinder the identification of causal relationships. The proposed approach addresses this issue by developing two peeling algorithms (bottom-up and top-down) to ascertain causal relationships and valid instruments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!