scholarly journals Deep ubiquitination site profiling by single-shot data-independent acquisition mass spectrometry

2020 ◽  
Author(s):  
Martin Steger ◽  
Phillip Ihmor ◽  
Mattias Backman ◽  
Stefan Müller ◽  
Henrik Daub
Keyword(s):  
Mass Spectrometry ◽  
High Precision ◽  
Protein Extraction ◽  
Single Shot ◽  
Spectral Library ◽  
Sample Analysis ◽  
Precision Data ◽  
Data Independent Acquisition ◽  
Ubiquitination Site ◽  
High Precision Data

We report a highly optimized proteomics method for in-depth ubiquitination profiling, which combines efficient protein extraction and data-independent acquisition mass spectrometry (DIA-MS). Employing DIA for both spectral library generation and single-shot sample analysis, we quantify up to 70,000 ubiquitinated peptides per MS run with high precision, data completeness and throughput. Our approach resolves the dynamics of ubiquitination and protein degradation with an unprecedented analytical depth.

scholarly journals Transit-period search from single-event space-based data: the role of wide-field surveys

2019 ◽  
Vol 625 ◽  
pp. A145
Author(s):  
Geza Kovacs
Keyword(s):  
High Precision ◽  
Wide Field ◽  
Precision Data ◽  
Frequency Spectra ◽  
Transiting Planets ◽  
High Precision Data ◽  
Space Data ◽  
Signal Search

We investigate the optimization of dataset weighting in searching for the orbital period of transiting planets when high-precision space-based data with a single transit event are combined with (relatively) low-precision ground-based (wide-field) data. The optimization stems from the lack of multiple events in the high-precision data and the likely presence of such events in the low-precision data. With noise minimization, we combined two types of frequency spectra: (i) spectra that use two fixed transit parameters (moment of the center of the transit and duration of the event) derived from the space data alone; (ii) spectra that result from the traditional weighted box signal search with optimized transit parameters for each trial period. We used many mock signals to test the detection power of the method. Marginal or no detections in the ground-based data may lead to secure detections in the combined data with the above weighting. Depending on the coverage and quality of the ground-based data, transit depths of ~0.05% and periods up to ~100 days are accessible by the suggested optimum combination of the data.

scholarly journals The Variation of UT from 700 BC to the Present

1995 ◽  
Vol 10 ◽  
pp. 258-258
Author(s):  
F.R. Stephenson ◽  
L.V. Morrison
Keyword(s):  
High Precision ◽  
Arab World ◽  
Precision Data ◽  
High Precision Data ◽  
Answering Questions

AbstractRecords of solar and lunar eclipses in the period 700 BC to AD 1600 originating from the ancient and medieval civilisations of Babylon, China, Europe and the Arab world are amassed and critically appraised for their usefulness in answering questions about the long-term variability of the Earth’s rate of rotation. Results from previous analyses of lunar occultations in the period AD 1600-1955.5 and from high-precision data in AD 1955.5-1990 are included in the dataset considered in this paper.

scholarly journals A high precision data encryption algorithm in wireless network mobile communication

2019 ◽  
Vol 12 (4-5) ◽  
pp. 1327-1340 ◽  
Author(s):  
Aiwan Fan ◽  
◽  
Qiming Wang ◽  
Joyati Debnath ◽  
◽  
...  
Keyword(s):  
Wireless Network ◽  
High Precision ◽  
Mobile Communication ◽  
Data Encryption ◽  
Encryption Algorithm ◽  
Precision Data ◽  
High Precision Data

scholarly journals Specter: linear deconvolution as a new paradigm for targeted analysis of data-independent acquisition mass spectrometry proteomics

2017 ◽  
Author(s):  
Ryan Peckner ◽  
Samuel A Myers ◽  
Jarrett D Egertson ◽  
Richard S Johnson ◽  
Jennifer G. Abelin ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Open Source Software ◽  
Software Tool ◽  
Nucleotide Polymorphisms ◽  
Spectral Library ◽  
New Paradigm ◽  
Single Nucleotide ◽  
Data Independent Acquisition ◽  
Targeted Analysis ◽  
Peptide Precursors

AbstractMass spectrometry with data-independent acquisition (DIA) has emerged as a promising method to greatly improve the comprehensiveness and reproducibility of targeted and discovery proteomics, in theory systematically measuring all peptide precursors within a biological sample. Despite the technical maturity of DIA, the analytical challenges involved in discriminating between peptides with similar sequences in convoluted spectra have limited its applicability in important cases, such as the detection of single-nucleotide polymorphisms and alternative site localizations in phosphoproteomics data. We have developed Specter, an open-source software tool that uses linear algebra to deconvolute DIA mixture spectra directly in terms of a spectral library, circumventing the problems associated with typical fragment correlation-based approaches. We validate the sensitivity of Specter and its performance relative to other methods by means of several complex datasets, and show that Specter is able to successfully analyze cases involving highly similar peptides that are typically challenging for DIA analysis methods.

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