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Related Concept Videos

Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

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Updated: Jun 14, 2026

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
09:04

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

Published on: August 17, 2015

Addressing accuracy and precision issues in iTRAQ quantitation.

Natasha A Karp1, Wolfgang Huber, Pawel G Sadowski

  • 1European Bioinformatics Institute, European Molecular Biology Laboratory Outstation, Hinxton, UK.

Molecular & Cellular Proteomics : MCP
|April 13, 2010
PubMed
Summary
This summary is machine-generated.

This study enhances iTRAQ (isobaric tags for relative or absolute quantitation) mass spectrometry by introducing methods to improve protein quantification accuracy and precision. New techniques address ratio compression and variance heterogeneity for more reliable protein abundance estimates.

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Quantitative Biology

Background:

  • iTRAQ (isobaric tags for relative or absolute quantitation) is a mass spectrometry technique for protein quantification.
  • Current iTRAQ data analysis methods lack precision and accuracy, leading to unreliable protein abundance estimates.
  • Issues include variance heterogeneity and ratio compression, particularly with low-intensity or sparse data.

Purpose of the Study:

  • To investigate and address the limitations of current iTRAQ data analysis.
  • To develop a robust methodology for accurate protein quantification from iTRAQ data.
  • To improve the precision and accuracy of relative protein abundance estimates.

Main Methods:

  • Investigated ratio compression and proposed a correction factor derived from spiked proteins.
  • Demonstrated variance heterogeneity across different experimental conditions.
  • Proposed an additive-multiplicative error model and variance-stabilizing normalization for peak intensities.

Main Results:

  • Ratio compression was found to be linear and correctable.
  • Variance heterogeneity was consistently observed in iTRAQ datasets.
  • Variance-stabilizing normalization effectively stabilized variance across all intensity ranges.

Conclusions:

  • The proposed methodology provides robust protein estimates from iTRAQ data, even with sparse or low-intensity measurements.
  • Variance-stabilizing normalization simplifies downstream analysis and improves data reliability.
  • The developed methods have broad applicability for mass spectrometry-based quantitation in various scientific fields.