Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Insertion of Multi-pass Transmembrane Proteins in the RER01:29

Insertion of Multi-pass Transmembrane Proteins in the RER

15.5K
The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
The multipass transmembrane proteins are the type IV integral membrane proteins with multiple topogenic sequences determining their spatial arrangement in the ER membrane. Nearly all multipass proteins lack a cleavable signal sequence and use...
15.5K
Overview of Protein Sorting and Transport01:45

Overview of Protein Sorting and Transport

19.4K
Eukaryotic cells have different membrane-bound organelles with distinct protein requirements. The process by which proteins are targeted to a specific organelle is called protein sorting.
Protein sorting can be of two types: signal-based sorting and vesicle-based trafficking. In signal-based sorting, specific amino acid sequences called sorting signals target proteins to the proper location inside the cell either via gated transport or by protein translocation.  In gated transport, folded...
19.4K
Post-translational Translocation of Proteins to the RER01:27

Post-translational Translocation of Proteins to the RER

6.9K
A sizable fraction of proteins destined for ER are first synthesized in the cell cytosol and then transported across the ER membrane–a process called post-translational translocation. Similar to cotranslationally translocated proteins, these proteins also use the Sec translocon complex to enter the ER lumen.
Targeting proteins to the ER
Hsp40 and Hsp70 chaperone molecules bind the translated proteins in the cytosol to prevent their folding. The chaperone binding helps to keep the signal...
6.9K
Protein Modifications in the RER01:26

Protein Modifications in the RER

6.3K
Modification of secretory and transmembrane proteins entering the rough ER begins in the ER lumen. These modifications aid in protein folding and stabilize the acquired tertiary structure. Protein modifications in the rough ER co-occur at different stages of protein folding.
Broadly, these modifications can be categorized into four main categories — glycosylation, formation of disulfide bonds, assembly of protein subunits, and specific proteolytic cleavages like removal of signal...
6.3K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

4.7K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
4.7K

You might also read

Related Articles

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

Sort by
Same author

[Etiology and pathogens of fungal endophthalmitis].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2015
Same author

Eucommia ulmoides Oliv. bark aqueous extract inhibits osteoarthritis in a rat model of osteoarthritis.

Journal of ethnopharmacology·2015
Same author

Aucubin prevents interleukin-1 beta induced inflammation and cartilage matrix degradation via inhibition of NF-κB signaling pathway in rat articular chondrocytes.

International immunopharmacology·2015
Same author

Treatment with recombinant lubricin attenuates osteoarthritis by positive feedback loop between articular cartilage and subchondral bone in ovariectomized rats.

Bone·2015
Same author

Tet1-mediated DNA demethylation regulates neuronal cell death induced by oxidative stress.

Scientific reports·2015
Same author

Authors' reply.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2015

Related Experiment Video

Updated: Nov 18, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

8.8K

Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL

Qi Zhang1, Yandan Zhang1, Shan Li2

  • 1College of Mathematics and Physics, Qingdao University of Science and Technology, China.

Briefings in Bioinformatics
|February 4, 2021
PubMed
Summary

A new method, Mps-mvRBRL, accurately predicts multi-label protein subcellular localization (SCL). This approach enhances biopharmaceutical and gene therapy applications by improving protein function understanding.

Keywords:
RBRL classifiermulti-label protein subcellular localizationmulti-view information fusionwMLDAb dimension reduction

More Related Videos

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K
TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks
07:02

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

Published on: May 17, 2020

25.2K

Related Experiment Videos

Last Updated: Nov 18, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

8.8K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K
TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks
07:02

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

Published on: May 17, 2020

25.2K

Area of Science:

  • Computational Biology and Bioinformatics
  • Molecular Biology and Biochemistry

Background:

  • Multi-label proteins are crucial for diverse biological functions including transport, catalysis, and regulation.
  • Accurate prediction of subcellular localization (SCL) for these proteins is vital for biopharmaceuticals, gene therapy, and cell therapy development.

Purpose of the Study:

  • To develop and evaluate a novel computational method, Mps-mvRBRL, for predicting the subcellular localization (SCL) of multi-label proteins.
  • To integrate multi-view feature extraction and advanced machine learning techniques for enhanced prediction accuracy.

Main Methods:

  • Feature extraction using pseudo position-specific scoring matrix, dipeptide composition, position specific scoring matrix-transition probability composition, gene ontology, and pseudo amino acid composition.
  • Weighted feature fusion using differential evolution to learn individual feature contributions.
  • Dimensionality reduction via weighted linear discriminant analysis and classification using a joint ranking support vector machine and binary relevance with robust low-rank learning classifier.

Main Results:

  • Mps-mvRBRL achieved high prediction performance, with Overall Actual Accuracy (OAA) and Overall Location Accuracy (OLA) of 99.81% on Gram-positive bacteria training sets.
  • Testing on plant, virus, and Gram-negative bacteria datasets yielded OAA scores of 97.24%, 98.55%, and 98.20%, respectively, and OLA scores of 97.16%, 97.62%, and 98.28%, respectively.
  • Leave-one-out cross-validation confirmed the model's robust predictive capabilities across different biological datasets.

Conclusions:

  • The Mps-mvRBRL method demonstrates significant potential for accurate multi-label protein SCL prediction.
  • This computational tool can aid in understanding protein functions and advance research in biopharmaceuticals and gene/cell therapies.