Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Reliability and Validity

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.

Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Integration by Parts: Indefinite Integrals

Integration by Parts: Indefinite Integrals

Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Enabling Variant Proteogenomic Assay Development Through a Peptide Target Selection Pipeline and Web Application.

Proteomics·2026

Same author

Lipidomic Analysis of Plasma Extracellular Vesicles from Adiponectin Deficient Mice or Metabolic Syndrome Patients Reveals Pro-Oxidative and Pro-Inflammatory Lipid Signatures Correlating with Metabolic Dysfunction.

Journal of extracellular vesicles·2026

Same author

IRP1 deficiency alters mitochondrial metabolism and protects against metabolic syndrome pathologies.

JCI insight·2026

Same author

Plasma proteomic profiles of patients during oral anti-coagulant treatment with vitamin K antagonists.

British journal of haematology·2025

Same author

Changes in histone abundance and post-translational modifications in Rana [Lithobates] catesbeiana tissues during thyroid hormone-dependent metamorphosis.

Developmental biology·2025

Same author

Quantitative targeted proteomics for occult cancer screening in patients with unprovoked venous thromboembolism: results from the prospective PLATO-VTE study.

Research and practice in thrombosis and haemostasis·2025

Search research articles

Related Experiment Video

Updated: Feb 10, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

MRMAssayDB: an integrated resource for validated targeted proteomics assays.

Pallab Bhowmick¹, Yassene Mohammed^1,2, Christoph H Borchers^1,3,4,5

¹University of Victoria - Genome British Columbia Proteomics Centre, Victoria, BC, Canada.

Bioinformatics (Oxford, England)

|May 16, 2018

Summary

MRMAssayDB integrates multiple repositories of targeted proteomics assays, providing a unified resource for protein quantification in disease research. This tool simplifies assay discovery and analysis by linking and annotating over 168K assays.

More Related Videos

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Published on: June 12, 2018

Assays for Validating Histone Acetyltransferase Inhibitors

Assays for Validating Histone Acetyltransferase Inhibitors

Published on: August 6, 2020

Related Experiment Videos

Last Updated: Feb 10, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Published on: June 12, 2018

Assays for Validating Histone Acetyltransferase Inhibitors

Assays for Validating Histone Acetyltransferase Inhibitors

Published on: August 6, 2020

Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Multiple Reaction Monitoring (MRM)-based targeted proteomics is crucial for disease molecular studies.
Developing and validating MRM assays is labor-intensive.
Existing public repositories for MRM assays lack integration and contain varying information.

Purpose of the Study:

To present MRMAssayDB, a web application integrating multiple public repositories of targeted proteomics MRM assays.
To provide a centralized and annotated resource for discovering and analyzing MRM assays.
To facilitate protein quantification in biological samples.

Main Methods:

MRMAssayDB integrates data from NCI's CPTAC, PeptideAtlas SRM, SRMAtlas, PanoramaWeb, and PeptideTracker.
Assays are mapped and linked, and proteins are annotated using UniProtKB, KEGG pathways, and Gene Ontologies.
The application offers visualization options at peptide and protein levels and supports comprehensive searches.

Main Results:

MRMAssayDB contains over 168K assays for more than 34K proteins across 63 organisms.
Over 13.5K proteins are linked to KEGG pathways and over 13K to GO biological processes.
Users can search assays by protein, pathway, disease, or drug associations and view assay repository inclusion and common transitions.

Conclusions:

MRMAssayDB serves as a valuable, integrated resource for targeted proteomics assay information.
The application simplifies the process of finding and utilizing MRM assays for research.
It enhances the accessibility and utility of public MRM assay data for disease research.