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

You might also read

Related Articles

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

Sort by

Same author

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same author

<i>Mycobacterium abscessus</i> bacteremia complicated by sepsis and septic shock in a patient with multiple comorbidities: a case report.

Frontiers in immunology·2026

Same author

Genomic epidemiology and antimicrobial resistance prevalence of <i>Staphylococcus aureus</i> isolated from bloodstream infections in a tertiary hospital in central China: a 5-year retrospective study.

Frontiers in public health·2026

Same author

Rapid separation of <sup>99</sup>Mo from proton irradiated thorium target for medical application.

Talanta·2026

Same author

Integrative network toxicology and single-cell transcriptomics reveal TP53 as a key mediator of PCBs-induced microglial dysfunction in diabetic retinopathy.

Ecotoxicology and environmental safety·2026

Same author

MiR-424-5p acts as an oncogene in Hep3B cells by activating the PI3K/AKT signaling pathway.

Frontiers in oncology·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026

Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026

Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026

Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 3, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Proteoform identification and quantification based on alignment graphs.

Zhaohui Zhan^1,2, Lusheng Wang^2,3

¹Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, 518172, China.

Bioinformatics (Oxford, England)

|January 9, 2025

Summary

This summary is machine-generated.

New algorithms accurately identify and quantify protein proteoforms using top-down tandem mass spectrometry. This approach enhances proteoform analysis by considering more spectral peaks for improved accuracy.

More Related Videos

A Quantitative Glycomics and Proteomics Combined Purification Strategy

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Related Experiment Videos

Last Updated: Jun 3, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

A Quantitative Glycomics and Proteomics Combined Purification Strategy

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Biochemistry
Proteomics
Computational Biology

Background:

Proteoforms, arising from genomic variations and post-translational modifications, dictate protein structure and function.
Accurate identification and quantification of proteoforms are crucial for understanding biological processes.
Existing methods face challenges in comprehensively analyzing complex proteoform landscapes.

Purpose of the Study:

To develop novel algorithms for proteoform identification and quantification from top-down tandem mass spectra.
To improve the accuracy and comprehensiveness of proteoform analysis in proteomics.

Main Methods:

Developed algorithms for proteoform identification and quantification using top-down tandem mass spectrometry.
Employed a backtracking graph to store mass correction information for matched peaks.
Identified combinatorial paths (k paths) with minimized peak intensity error for proteoform analysis.

Main Results:

The algorithms successfully identify and quantify proteoform combinations by incorporating a greater number of spectral peaks.
The method demonstrates enhanced accuracy and comprehensiveness in proteoform quantification.
Experimental results validate the capability of the proposed approach.

Conclusions:

The developed algorithms offer a significant advancement in top-down MS-based proteomics.
This work addresses a critical need for accurate proteoform quantification.
The software package, TopMGQuant, is available for broader scientific use.