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

Diversity of Protists II01:27

Diversity of Protists II

247
Alveolates are a group of organisms recognized by the presence of alveoli, which are cytoplasmic sacs located beneath the cell membrane. While their function remains uncertain, alveoli may help regulate water balance by controlling how much water enters and leaves the cell. In dinoflagellates, these structures may serve as armor plates. There are three major types of alveolates: ciliates, which move using cilia; dinoflagellates, which use flagella for movement; and apicomplexans, which are...
247
Diversity of Protists IV01:27

Diversity of Protists IV

256
Amoebozoa represent a diverse group of terrestrial and aquatic protists that utilize lobe-shaped pseudopodia for locomotion and feeding. This characteristic differentiates them from the Rhizaria, which possess threadlike pseudopodia. The primary classifications within Amoebozoa include gymnamoebas, entamoebas, and the plasmodial and cellular slime molds. Phylogenetic evidence indicates that Amoebozoa diverged from a lineage that ultimately gave rise to fungi and animals.Gymnamoebas and...
256
Diversity of Archaea II01:24

Diversity of Archaea II

118
Archaea, one of the three domains of life, exhibit remarkable diversity and adaptability, thriving in both extreme and moderate environments. Historically, most identified archaea have been classified into two major phyla: Euryarchaeota and Crenarchaeota. However, recent molecular studies have expanded this classification to include three additional phyla: Thaumarchaeota, Nanoarchaeota, and Korarchaeota, each exhibiting unique characteristics and ecological roles.Thaumarchaeota: Mesophiles...
118
Diversity of Archaea I01:30

Diversity of Archaea I

134
Archaea, a domain of single-celled microorganisms, are classified into five major phyla based on genetic and biochemical characteristics: Euryarchaeota, Crenarchaeota, Thaumarchaeota, Korarchaeota, and Nanoarchaeota. Among these, the phylum Euryarchaeota is notable for its remarkable diversity in morphology, metabolism, and ecological adaptations.Morphological and Metabolic DiversityMembers of Euryarchaeota exhibit a variety of cellular shapes, including rods and cocci. Their metabolic pathways...
134
Bacterial Flora of the Large Intestine01:29

Bacterial Flora of the Large Intestine

708
The gut microbiome is formed by a vast and diverse community of bacteria that colonizes our large intestine. These bacteria start residing in the gut from birth and continue diversifying throughout life, influenced by factors such as diet, lifestyle, and stress. The gut bacterial community also includes bacteria from food and those that enter the colon through the anus.
The normal gut flora of the colon plays a critical role in generating essential vitamins such as vitamins K, B5, and B7.
708
Diversity of Protists I01:15

Diversity of Protists I

254
Excavata is a diverse group of protists that includes both chemoorganotrophic and phototrophic species, with some thriving in anaerobic environments. Among the key groups within Excavata are diplomonads and parabasalids, which are flagellated protists that lack mitochondria and chloroplasts. These microorganisms typically inhabit anoxic environments, such as the intestines of animals, where they exist either symbiotically or as parasites, relying on fermentation for energy production. Some...
254

You might also read

Related Articles

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

Sort by
Same author

Gaps remain in college sports' 15-year-old sickle cell policy.

Science (New York, N.Y.)·2025
Same author

Bones beneath the runway.

Science (New York, N.Y.)·2025
Same author

No 'collapse' for ancient people on Rapa Nui.

Science (New York, N.Y.)·2024
Same author

Remapping science.

Science (New York, N.Y.)·2024
Same author

Study on braiding Indigenous and Western science halted.

Science (New York, N.Y.)·2024
Same author

Mexico's incoming president gives science a big promotion.

Science (New York, N.Y.)·2024
Same journal

Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

Science (New York, N.Y.)·2026
Same journal

Local signals, systemic decline.

Science (New York, N.Y.)·2026
Same journal

The mechanics of liver regeneration.

Science (New York, N.Y.)·2026
Same journal

Computing in a memory with physics.

Science (New York, N.Y.)·2026
Same journal

Retraction.

Science (New York, N.Y.)·2026
Same journal

Making time.

Science (New York, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

30.0K

Microbiome data dominated by wealthy countries.

Rodrigo Pérez Ortega

    Science (New York, N.Y.)
    |February 17, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Skew in data can hinder the creation of precise, targeted therapies. Addressing this bias is crucial for advancing medical treatments and improving patient outcomes.

    More Related Videos

    Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
    07:21

    Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

    Published on: August 25, 2018

    13.0K
    Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
    08:05

    Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

    Published on: March 19, 2018

    19.9K

    Related Experiment Videos

    Last Updated: Oct 3, 2025

    Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
    11:22

    Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

    Published on: October 15, 2019

    30.0K
    Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
    07:21

    Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

    Published on: August 25, 2018

    13.0K
    Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
    08:05

    Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

    Published on: March 19, 2018

    19.9K

    Area of Science:

    • Biomedical research
    • Data science in medicine
    • Therapeutic development

    Background:

    • Data skew presents a significant challenge in biomedical research.
    • Biased datasets can lead to inaccurate models and ineffective treatments.
    • The development of targeted therapies relies heavily on high-quality, representative data.

    Discussion:

    • Skewed data can misrepresent biological mechanisms and patient populations.
    • This can result in therapies that are ineffective or even harmful to certain groups.
    • Identifying and mitigating data skew is essential for equitable therapeutic development.

    Key Insights:

    • Data skew is a critical factor impeding the progress of targeted therapies.
    • Failure to address skew can lead to wasted research efforts and resources.
    • Accurate data representation is paramount for successful precision medicine.

    Outlook:

    • Developing robust methods to detect and correct data skew is a priority.
    • Future research should focus on creating diverse and inclusive datasets.
    • Overcoming data skew will accelerate the development of effective and personalized treatments.