Dataset Information

Impact of Sample Matrix on Accuracy of Peptide Quantification: Assessment of Calibrator and Internal Standard Selection and Method Validation.

ABSTRACT: Protein quantification based on peptides using LC-MS/MS has emerged as a promising method to measure biomarkers, protein drugs, and endogenous proteins. However, the best practices for selection, optimization, and validation of the quantification peptides are not well established, and the influence of different matrices on protein digestion, peptide stability, and MS detection has not been systematically addressed. The aim of this study was to determine how biological matrices affect digestion, detection, and stability of peptides. The microsomal retinol dehydrogenase (RDH11) and cytosolic soluble aldehyde dehydrogenases (ALDH1As) involved in the synthesis of retinoic acid (RA) were chosen as model proteins. Considerable differences in the digestion efficiency, sensitivity, and matrix effects between peptides were observed regardless of the target protein's subcellular localization. The precision and accuracy of the quantification of RDH11 and ALDH1A were affected by the choice of calibration and internal standards. The final method using recombinant protein calibrators and stable isotope labeled (SIL) peptide internal standards was validated for human liver. The results demonstrate that different sample matrices have peptide, time, and matrix specific effects on protein digestion and absolute quantification.

SUBMITTER: Arnold SL

PROVIDER: S-EPMC4817721 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Impact of Sample Matrix on Accuracy of Peptide Quantification: Assessment of Calibrator and Internal Standard Selection and Method Validation.

Arnold Samuel L SL Stevison Faith F Isoherranen Nina N

Analytical chemistry 20151214 1

Protein quantification based on peptides using LC-MS/MS has emerged as a promising method to measure biomarkers, protein drugs, and endogenous proteins. However, the best practices for selection, optimization, and validation of the quantification peptides are not well established, and the influence of different matrices on protein digestion, peptide stability, and MS detection has not been systematically addressed. The aim of this study was to determine how biological matrices affect digestion, ...[more]

PMID: 26606514

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Project description:High-throughput amplicon sequencing is a critical tool for studying microbiota; however, it results only in relative abundance data. Thus, changes in absolute abundance of microbiota cannot be determined, which hinders further microbiology research. We have therefore established a gradient internal standard absolute quantification (GIS-AQ) method to overcome this issue, which can simultaneously obtain the absolute abundances of bacteria and fungi. Deviations from the quantitative equations of microbes and internal standards were eliminated through calibration. Compared with traditional quantitative real-time PCR and microscopy quantifications, this method is reliable (R 2 average = 0.998; P < 0.001) and accurate (P internals versus microscopy > 0.05). The GIS-AQ method can be adapted to any amplicon primer choice (e.g., 336F/806R and ITS3/ITS4), rendering it applicable to ecosystem studies including food, soil, and water samples. Crucially, when using solid-state fermentation samples from various temporal dimensions, the results obtained from the relative and absolute abundance are different. The absolute abundance can be used to study the difference in communities between different samples, and the GIS-AQ method allows this to be done rapidly. Therefore, combining the absolute abundance with relative abundance can accurately reflect the microbiota composition.IMPORTANCE To solve the problem of amplicon sequencing cannot discern the microbiota absolute abundance, we proposed a gradient internal standard absolute quantification method. We used Chinese liquor fermentation as a model system to demonstrate the reliability and accuracy of the method. By comparing the relative and absolute abundances of microbiota in various temporal dimensions, we found dynamic changes in the absolute abundance of communities under various temporal dimensions from the relative abundance. Based on its design principle, this method can be widely applied to different ecosystems. Therefore, we believe that the GIS-AQ method can play an immeasurably useful role in microbiological research.

Dataset Information

Impact of Sample Matrix on Accuracy of Peptide Quantification: Assessment of Calibrator and Internal Standard Selection and Method Validation.

Publications

Impact of Sample Matrix on Accuracy of Peptide Quantification: Assessment of Calibrator and Internal Standard Selection and Method Validation.

Similar Datasets

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