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

Bacterial Translocation and Protein Secretion

Bacterial Translocation and Protein Secretion

Bacterial protein secretion involves translocation systems to ensure proteins reach their designated locations, including the plasma membrane, periplasm, outer membrane, or the external environment. These translocation systems are vital for bacterial physiology, supporting processes like membrane assembly, enzymatic activity in the periplasm, and interactions with the external environment. The division of labor between Sec and Tat pathways ensures efficiency in handling proteins with diverse...

Nuclear Localization Signals and Import

Nuclear Localization Signals and Import

Proteins targeted to the nucleus carry short stretches of amino acid sequences called the nuclear localization signal or NLS. Classical nuclear localization signals are of two types: monopartite and bipartite NLS. Monopartite classical NLS (cNLS) consists of a single cluster of 4-8 amino acids. Bipartite cNLS consists of two clusters of 2-3 amino acids and a 9-12 residue long proline-rich linker bridging the two clusters. Signal clusters are rich in positively charged amino acids such as...

Gram-negative Bacterial Protein Secretion Systems

Gram-negative Bacterial Protein Secretion Systems

Gram-negative bacteria utilize sophisticated protein secretion systems to transport proteins across their double-membrane envelope into the extracellular environment or host cells. Based on their mechanism of action, these systems are classified into one-step and two-step pathways.One-Step Secretion Systems (Types I, III, IV, and VI)One-step secretion systems bypass the periplasm entirely, forming a continuous channel that spans both the inner and outer membranes:Type I Secretion System (T1SS):...

Nuclear Protein Sorting

Nuclear Protein Sorting

Nuclear protein sorting is the selective trafficking of histones, polymerases, gene regulatory proteins into the nucleus and exporting RNAs and ribosomes to the cytosol. It is a tightly controlled process that regulates gene expression within a cell.
Proteins targeted to the nucleus carry nuclear localization signals or NLS recognized by import receptors in the cytosol. Similarly, proteins with nuclear export signals are recognized by export receptors. Import and export receptors are...

Translation in Prokaryotes

Translation in Prokaryotes

Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

You might also read

Related Articles

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

Sort by

Same author

Neutralizing monoclonal antibody in patients with coronavirus disease 2019: an observational study.

Virology journal·2022

Same author

Anlotinib in patients with medullary thyroid carcinoma with negative prognostic factors: A sub-analysis based on the ALTER01031 study.

Frontiers in oncology·2022

Same author

Enhancer reprogramming promotes the activation of cancer-associated fibroblasts and breast cancer metastasis.

Theranostics·2022

Same author

Elevated ITGA5 facilitates hyperactivated mTORC1-mediated progression of laryngeal squamous cell carcinoma via upregulation of EFNB2.

Theranostics·2022

Same author

Combined effects of zearalenone and deoxynivalenol on oxidative stress, hepatotoxicity, apoptosis, and inflammation in zebrafish embryos.

The Science of the total environment·2022

Same author

Ammonium induces oxidative stress, endoplasmic reticulum stress, and apoptosis of hepatocytes in the liver cell line of grass carp (Ctenopharyngodon idella).

Environmental science and pollution research international·2022

Search research articles

Related Experiment Video

Updated: May 21, 2026

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Published on: August 8, 2025

Predicting gram-positive bacterial protein subcellular localization based on localization motifs.

Yinxia Hu¹, Tonghua Li, Jiangming Sun

¹Department of Chemistry, Tongji University, Siping Road 1239, Shanghai 200092, China.

Journal of Theoretical Biology

|June 12, 2012

Summary

This study introduces a new method using localization motifs to accurately predict the subcellular localization of Gram-positive bacterial proteins, achieving high success rates in validation and testing.

More Related Videos

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Published on: August 11, 2018

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Related Experiment Videos

Last Updated: May 21, 2026

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Published on: August 8, 2025

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Published on: August 11, 2018

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Area of Science:

Microbiology
Proteomics
Bioinformatics

Background:

Protein function is determined by its location within a cell.
Accurate prediction of bacterial protein localization is crucial for understanding cellular processes.

Purpose of the Study:

To develop a novel approach for predicting the subcellular localization of Gram-positive bacterial proteins.
To enhance prediction accuracy using protein localization motifs.

Main Methods:

Development of a novel computational approach.
Utilizing protein localization motifs as predictive features.
Validation using five-fold cross-validation and independent testing datasets.

Main Results:

Achieved an 89.5% success rate in five-fold cross-validation.
Attained a 97.7% success rate on an independent testing dataset.
Demonstrated a 96.3% success rate on a new set of experimentally determined proteins.

Conclusions:

The proposed motif-based approach significantly improves the accuracy of subcellular localization prediction for Gram-positive bacterial proteins.
This method offers a reliable tool for proteomic and bioinformatics research.
High accuracy across different datasets validates the robustness of the approach.