Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures

Abidi, Nada; Klawonn, Frank; Thumfart, Jörg Oliver

doi:10.1007/978-3-642-41398-8_4

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2015

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“…Our aim was to develop an approach that can determine the status of a single unknown serum sample from high throughput experiments regarding its peptide content. The detailed description of the mathematical calculations has already been described [13]. Briefly, serum specimens were aged under controlled conditions and peptide profiles of respective points in time were generated with LC-MS to build a set of specimens depicted as training data.…”

Section: Prediction Algorithmmentioning

confidence: 99%

LC/MS Based Monitoring of Endogenous Decay Markers for Quality Assessment of Serum Specimens

Mindt¹

2015

J Proteomics Bioinform

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Preanalytical variations have major impact on most biological assays. Specifically MS-based\ud multiparametric proteomics analyses of blood specimens are seriously affected by limited protein stability due to high\ud intrinsic proteolytic activity of serum and plasma. However, the direct analysis of sample quality (DASQ) for serum\ud specimens is not readily available. Here we propose the mass spectrometry based monitoring of peptide patterns\ud that are ex vivo changing in a time dependent manner to alleviate these constrains

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Section: Prediction Algorithmmentioning

confidence: 99%

LC/MS Based Monitoring of Endogenous Decay Markers for Quality Assessment of Serum Specimens

Mindt¹

2015

J Proteomics Bioinform

View full text Add to dashboard Cite

show abstract

Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures

Cited by 1 publication

References 10 publications

LC/MS Based Monitoring of Endogenous Decay Markers for Quality Assessment of Serum Specimens

LC/MS Based Monitoring of Endogenous Decay Markers for Quality Assessment of Serum Specimens

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