Understanding platelets

2005 ◽  
Vol 94 (11) ◽  
pp. 916-925 ◽  
Author(s):  
Marcus Dittrich ◽  
Ingvild Birschmann ◽  
Christiane Stuhlfelder ◽  
Albert Sickmann ◽  
Sabine Herterich ◽  
...  

SummaryNew large-scale analysis techniques such as bioinformatics, mass spectrometry and SAGE data analysis will allow a new framework for understanding platelets. This review analyses some important options and tasks for these tools and examines an outline of the new, refined picture of the platelet outlined by these new techniques. Looking at the platelet-specific building blocks of genome, (active) transcriptome and proteome (notably secretome and phospho-proteome), we summarize current bioinformatical and biochemical approaches, tasks as well as their limitations. Understanding the surprisingly complex platelet regarding compartmentalization, key cascades, and pathways including clinical implications will remain an exciting and hopefully fruitful challenge for the future.

Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Gila Prebor ◽  
Isaac Miller

Abstract In this paper, we present a new semi-automatic methodology for construction of event-based ontology from the library catalogue of the largest collection in the world of metadata records of historical Hebrew manuscripts. Based on the constructed ontology, we developed and implemented a new framework for catalogue data enrichment, correction, and its systematic quantitative analysis. Finally, we demonstrate the results of the proposed large-scale analysis of three most prominent event types in the corpus, as well as a few cross-event relations and trends.


The Analyst ◽  
2020 ◽  
Vol 145 (20) ◽  
pp. 6532-6540 ◽  
Author(s):  
Elissia T. Franklin ◽  
Yu Xia

The developed online RPLC-PB-MS/MS system allows large scale analysis of isomeric triacylglycerol lipids differing in CC locations.


2020 ◽  
Author(s):  
Swantje Lenz ◽  
Ludwig R. Sinn ◽  
Francis J. O’Reilly ◽  
Lutz Fischer ◽  
Fritz Wegner ◽  
...  

Crosslinking mass spectrometry is widening its scope from structural analyzes of purified multi-protein complexes towards systems-wide analyzes of protein-protein interactions. Assessing the error in these large datasets is currently a challenge. Using a controlled large-scale analysis of Escherichia coli cell lysate, we demonstrate a reliable false-discovery rate estimation procedure for protein-protein interactions identified by crosslinking mass spectrometry.


2020 ◽  
Vol 21 (7) ◽  
pp. 725-739
Author(s):  
Daniele Musiani ◽  
Enrico Massignani ◽  
Alessandro Cuomo ◽  
Avinash Yadav ◽  
Tiziana Bonaldi

: The absence of efficient mass spectrometry-based approaches for the large-scale analysis of protein arginine methylation has hindered the understanding of its biological role, beyond the transcriptional regulation occurring through histone modification. In the last decade, however, several technological advances of both the biochemical methods for methylated polypeptide enrichment and the computational pipelines for MS data analysis have considerably boosted this research field, generating novel insights about the extent and role of this post-translational modification. : Here, we offer an overview of state-of-the-art approaches for the high-confidence identification and accurate quantification of protein arginine methylation by high-resolution mass spectrometry methods, which comprise the development of both biochemical and bioinformatics methods. The further optimization and systematic application of these analytical solutions will lead to ground-breaking discoveries on the role of protein methylation in biological processes.


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