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

What is Variation?01:14

What is Variation?

18.5K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.5K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.7K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
17.7K
Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

9.2K
Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
9.2K
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

16.1K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
16.1K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

28.2K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.2K

You might also read

Related Articles

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

Sort by
Same author

Somatic pathogenic mitochondrial DNA mutations independently predict worse prognosis in hepatocellular carcinoma.

Scientific reports·2026
Same author

Conjugating M13 bacteriophage targeting folate receptor alpha with multiple photosensitizers: a flexible phototheranostic platform against ovarian cancer.

Journal of materials chemistry. B·2026
Same author

Combining circulating tumor cell and circulating cell-free DNA analyses broadens clinical applicability of liquid biopsy in high grade serous tubo-ovarian carcinoma.

Experimental hematology & oncology·2026
Same author

Combined ketone body and glutamine supplementation restores aerobic energy production in AGC1-deficient neuronal progenitors.

Cell death & disease·2025
Same author

Lightweight CNN efficiently discriminates ovarian cancer cells from a tumor microenvironment via holographic imaging flow cytometry.

Biomedical optics express·2025
Same author

miR-6850 drives phenotypic changes and signaling in high grade serous ovarian cancer.

Non-coding RNA research·2025

Related Experiment Video

Updated: Feb 3, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.4K

HmtVar: a new resource for human mitochondrial variations and pathogenicity data.

Roberto Preste1, Ornella Vitale1, Rosanna Clima2

  • 1Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari 70126, Italy.

Nucleic Acids Research
|October 30, 2018
PubMed
Summary

Researchers can now explore over 40,000 human mitochondrial DNA (mtDNA) variants with HmtVar, a new database linking genetic variations to diseases and phenotypes.

More Related Videos

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
12:35

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

Published on: November 14, 2017

9.9K
Generation of Human Brain Organoids for Mitochondrial Disease Modeling
08:09

Generation of Human Brain Organoids for Mitochondrial Disease Modeling

Published on: June 21, 2021

6.8K

Related Experiment Videos

Last Updated: Feb 3, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.4K
Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
12:35

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

Published on: November 14, 2017

9.9K
Generation of Human Brain Organoids for Mitochondrial Disease Modeling
08:09

Generation of Human Brain Organoids for Mitochondrial Disease Modeling

Published on: June 21, 2021

6.8K

Area of Science:

  • Genetics
  • Bioinformatics
  • Molecular Biology

Background:

  • Mitochondrial DNA (mtDNA) plays a crucial role in both physiological functions and pathological conditions.
  • Increasing interest in mtDNA genetic data necessitates advanced tools for variant analysis.

Purpose of the Study:

  • To develop HmtVar, a comprehensive, variant-focused database for human mitochondrial genetic data.
  • To facilitate the study of the relationship between mtDNA variants, phenotypes, and diseases.

Main Methods:

  • Integrated over 40,000 human mitochondrial variants from the HmtDB platform.
  • Incorporated in-house pathogenicity assessments using multiple evaluation criteria.
  • Added annotations from third-party resources for enriched data.

Main Results:

  • Created HmtVar, a centralized resource for human mitochondrial variation data.
  • Provided a dataset crucial for understanding mitochondrial genetics and disease.
  • Enabled data retrieval via a web interface and a programmatic API.

Conclusions:

  • HmtVar is a valuable resource for researchers and clinicians studying mitochondrial genetics.
  • The database supports investigations into common and rare diseases linked to mitochondrial involvement.
  • HmtVar enhances the exploration of human mitochondrial variation and its clinical implications.