scholarly journals The Use of a Quantitative Cysteinyl-Peptide Enrichment Technology for High-Throughput Quantitative Proteomics

2007 ◽  
pp. 107-124 ◽  
Author(s):  
Tao Liu ◽  
Wei-Jun Qian ◽  
David G. Camp ◽  
Richard D. Smith
Keyword(s):  
High Throughput ◽  
Quantitative Proteomics ◽  
Peptide Enrichment ◽  
Enrichment Technology

High-Throughput Comparative Proteome Analysis Using a Quantitative Cysteinyl-peptide Enrichment Technology

2004 ◽  
Vol 76 (18) ◽  
pp. 5345-5353 ◽  
Author(s):  
Tao Liu ◽  
Wei-Jun Qian ◽  
Eric F. Strittmatter ◽  
David G. Camp ◽  
Gordon A. Anderson ◽  
...  
Keyword(s):  
High Throughput ◽  
Proteome Analysis ◽  
Peptide Enrichment ◽  
Enrichment Technology

scholarly journals 21-plex DiLeu Isobaric Tags for High-Throughput Quantitative Proteomics

2020 ◽  
Vol 92 (12) ◽  
pp. 8228-8234 ◽  
Author(s):  
Dustin C. Frost ◽  
Yu Feng ◽  
Lingjun Li
Keyword(s):  
High Throughput ◽  
Quantitative Proteomics ◽  
Isobaric Tags

scholarly journals Single Primer Enrichment Technology (SPET) for High-Throughput Genotyping in Tomato and Eggplant Germplasm

2019 ◽  
Vol 10 ◽  
Author(s):  
Lorenzo Barchi ◽  
Alberto Acquadro ◽  
David Alonso ◽  
Giuseppe Aprea ◽  
Laura Bassolino ◽  
...  
Keyword(s):  
High Throughput ◽  
Enrichment Technology ◽  
Single Primer

scholarly journals Enhanced longitudinal differential expression detection in proteomics with robust reproducibility optimization regression

2021 ◽  
Author(s):  
Tommi Valikangas ◽  
Tomi Suomi ◽  
Courtney E Chandler ◽  
Alison J Scott ◽  
Bao Q Tran ◽  
...  
Keyword(s):  
Differential Expression ◽  
High Throughput ◽  
Quantitative Proteomics ◽  
Missing Values ◽  
Comprehensive Evaluation ◽  
Omics Data ◽  
Good Reproducibility ◽  
Proteomics Data ◽  
Time Points ◽  
Differential Expression Detection

Quantitative proteomics has matured into an established tool and longitudinal proteomic experiments have begun to emerge. However, no effective, simple-to-use differential expression method for longitudinal proteomics data has been released. Typically, such data is noisy, contains missing values, has only few time points and biological replicates. To address this need, we provide a comprehensive evaluation of several existing differential expression methods for high-throughput longitudinal omics data and introduce a new method, Robust longitudinal Differential Expression (RolDE). The methods were evaluated using nearly 2000 semi-simulated spike-in proteomic datasets and a large experimental dataset. The RolDE method performed overall best; it was most tolerant to missing values, displayed good reproducibility and was the top method in ranking the results in a biologically meaningful way. Furthermore, contrary to many approaches, the open source RolDE does not require prior knowledge concerning the types of differences searched, but can easily be applied even by non-experienced users.

scholarly journals Bioinformatics Tools for Mass Spectrometry-Based High-Throughput Quantitative Proteomics Platforms

2011 ◽  
Vol 8 (2) ◽  
pp. 125-137 ◽  
Author(s):  
Alexey V. Nefedov ◽  
Miroslaw J. Gilski ◽  
Rovshan G. Sadygov
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
Quantitative Proteomics ◽  
Bioinformatics Tools

Ultra-sensitive, high throughput and quantitative proteomics measurements

2005 ◽  
Vol 240 (3) ◽  
pp. 195-212 ◽  
Author(s):  
Jon M. Jacobs ◽  
Matthew E. Monroe ◽  
Wei-Jun Qian ◽  
Yufeng Shen ◽  
Gordon A. Anderson ◽  
...  
Keyword(s):  
High Throughput ◽  
Quantitative Proteomics
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