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

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

6.2K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
6.2K
Protein Families02:47

Protein Families

13.3K
Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
13.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Ribosome Profiling02:24

Ribosome Profiling

3.2K
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...
3.2K
Methods of Classification and Identification01:28

Methods of Classification and Identification

2.3K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
2.3K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

836
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
836

You might also read

Related Articles

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

Sort by
Same author

An enhanced workflow for variant interpretation in UniProtKB/Swiss-Prot improves consistency and reuse in ClinVar.

Database : the journal of biological databases and curation·2019
Same author

Paternal Age and Transgenerational Telomere Length Maintenance: A Simulation Model.

Scientific reports·2019
Same author

Clinical Evaluation of the Cepheid Xpert TV Assay for Detection of Trichomonas vaginalis with Prospectively Collected Specimens from Men and Women.

Journal of clinical microbiology·2017
Same author

A Health Services Research Agenda for Bariatric Surgery Within the Veterans Health Administration.

Journal of general internal medicine·2017
Same author

Increased Accuracy of Distribution Based Missing Value Imputation: An Alternative to Mean Inputation in Real World Environment Survey Research.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2016
Same author

Soil fungal communities of grasslands are environmentally structured at a regional scale in the Alps.

Molecular ecology·2014

Related Experiment Video

Updated: May 3, 2026

Identification of Plasmodesmal Localization Sequences in Proteins In Planta
08:07

Identification of Plasmodesmal Localization Sequences in Proteins In Planta

Published on: August 15, 2017

7.8K

Localizing proteins in the cell from their phylogenetic profiles.

E M Marcotte1, I Xenarios, A M van Der Bliek

  • 1Molecular Biology Institute, University of California Los Angeles, 90095, USA.

Proceedings of the National Academy of Sciences of the United States of America
|October 18, 2000
PubMed
Summary
This summary is machine-generated.

We developed a computational method to predict protein locations using phylogenetic profiles. This approach accurately identifies nucleus-encoded mitochondrial proteins, revealing insights into mitochondrial evolution and function.

More Related Videos

In Situ Monitoring of Transiently Formed Molecular Chaperone Assemblies in Bacteria, Yeast, and Human Cells
08:58

In Situ Monitoring of Transiently Formed Molecular Chaperone Assemblies in Bacteria, Yeast, and Human Cells

Published on: September 2, 2019

6.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.1K

Related Experiment Videos

Last Updated: May 3, 2026

Identification of Plasmodesmal Localization Sequences in Proteins In Planta
08:07

Identification of Plasmodesmal Localization Sequences in Proteins In Planta

Published on: August 15, 2017

7.8K
In Situ Monitoring of Transiently Formed Molecular Chaperone Assemblies in Bacteria, Yeast, and Human Cells
08:58

In Situ Monitoring of Transiently Formed Molecular Chaperone Assemblies in Bacteria, Yeast, and Human Cells

Published on: September 2, 2019

6.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.1K

Area of Science:

  • Computational biology
  • Genomics
  • Molecular biology

Background:

  • Proteins are crucial for cellular function.
  • Understanding protein localization is key to cell biology.
  • Mitochondria, essential organelles, have complex protein import mechanisms.

Purpose of the Study:

  • To develop a computational method for predicting subcellular protein localization.
  • To analyze the phylogenetic distribution of mitochondrial proteins.
  • To estimate the number of nucleus-encoded mitochondrial genes in model organisms.

Main Methods:

  • Phylogenetic profiling of protein homologs.
  • Analyzing the evolutionary origins of nucleus-encoded mitochondrial proteins.
  • Applying the method to yeast (Saccharomyces cerevisiae) and worm (Caenorhabditis elegans) genomes.

Main Results:

  • Identified three groups of nucleus-encoded mitochondrial proteins: prokaryote-derived, eukaryote-derived, and organism-specific.
  • Achieved 50% accuracy and 58% coverage in identifying mitochondrial proteins in yeast.
  • Estimated ~630 nuclear genes for mitochondrial function in yeast and ~660 in C. elegans.
  • Found significant prokaryotic contributions to mitochondrial proteomes, alongside eukaryote-specific and organism-specific genes.

Conclusions:

  • Phylogenetic profiles are effective for predicting subcellular protein localization.
  • Mitochondria possess specialized functions beyond those inherited from prokaryotic ancestors.
  • The computational method provides insights into organellar evolution and genome organization.