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

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...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

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

Sort by

Same author

Prevalence, risk factors, and perceptions of vaccination against reproductive tract infections among urban females in Delhi: a cross-sectional study.

Frontiers in reproductive health·2026

Same author

Comparable immunogenicity from murine blood collection methods in intranasal gonococcal vaccination with ACP and MtrE supports refinement of preclinical vaccine studies.

Scientific reports·2026

Same author

Correction: Protection against <i>N. gonorrhoeae</i> induced by OMV-based meningococcal vaccines are associated with cross-species directed humoral and cellular immune responses.

Frontiers in immunology·2025

Same author

Evaluation of Immunization Route in Induction of Vaccine-Mediated Anti-Gonococcal Immune Responses in a Murine Model of Ascending Infection.

The Journal of infectious diseases·2025

Same author

Bridging Gaps in Antibody Responses and Animal Welfare: Assessing Blood Collection Methods and Vaginal Immunity in Mice Immunized with Intranasal Gonococcal Vaccines.

Research square·2025

Same author

Protection against <i>N. gonorrhoeae</i> induced by OMV-based meningococcal vaccines are associated with cross-species directed humoral and cellular immune responses.

Frontiers in immunology·2025

Search research articles

Related Experiment Video

Updated: Jan 24, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

Bioinformatics Workflow for Gonococcal Proteomics.

Fadi E El-Rami¹, Aleksandra E Sikora²

¹Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, USA.

Methods in Molecular Biology (Clifton, N.J.)

|May 24, 2019

Summary

This summary is machine-generated.

This study presents a bioinformatics workflow for analyzing Neisseria gonorrhoeae proteomics data. It aids in identifying potential vaccine candidates and drug targets by predicting protein functions and locations.

Keywords:

Bioinformatics CELLO DAVID, KEGG Data mining EggNOG-mapper Functional enrichment LipoP Neisseria gonorrhoeae PSORTb Pathway mapping Quantitative proteomics SOSUI-GramN SignalP Subcellular localization TMHMM

More Related Videos

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

Related Experiment Videos

Last Updated: Jan 24, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

Area of Science:

Proteomics
Bioinformatics
Microbial Pathogenesis

Background:

High-throughput quantitative proteomics offers insights into Neisseria gonorrhoeae biology.
Proteomic data analysis requires robust bioinformatics tools for meaningful interpretation.
Identifying vaccine candidates and drug targets is crucial for combating N. gonorrhoeae.

Purpose of the Study:

To present a comprehensive workflow for analyzing N. gonorrhoeae proteomic datasets.
To highlight the utility of publicly available bioinformatics resources for microbial proteomics.
To facilitate the identification of novel vaccine candidates, drug targets, and biomarkers.

Main Methods:

Utilized a step-by-step computational procedure for proteomic data analysis.
Employed publicly available software for predicting protein subcellular localization (e.g., CELLO, PSORTb, SignalP).
Applied functional annotation tools (e.g., EggNOG-mapper, DAVID, KEGG) for N. gonorrhoeae proteins.

Main Results:

The workflow enables prediction of protein subcellular localization.
Functional annotation of N. gonorrhoeae proteins was achieved using various bioinformatics tools.
The analysis provides insights into protein structure-function relationships.

Conclusions:

The presented bioinformatics workflow is valuable for N. gonorrhoeae proteomics research.
This approach can accelerate the discovery of therapeutic targets and biomarkers.
It aids in generating new hypotheses regarding N. gonorrhoeae biology.