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

Dimensional Analysis03:40

Dimensional Analysis

65.1K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
65.1K
Dimensional Analysis01:27

Dimensional Analysis

683
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
683
Dimensional Analysis01:23

Dimensional Analysis

2.2K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
2.2K
Dimensional Analysis02:19

Dimensional Analysis

24.6K
The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
24.6K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

7.7K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
7.7K
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.9K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.9K

You might also read

Related Articles

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

Sort by
Same author

Role of Pbr1, a putative oxidoreductase, in the ER quality control and folding of yeast Fks1 glucan synthase.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

The novel antifungal agent NPD2560 perturbs the Rho1-centered signaling network to induce a cell wall integrity response.

Microbiology spectrum·2026
Same author

HTD1265 Disrupts GimC-Dependent Cellular Processes in <i>Saccharomyces cerevisiae</i>.

Pathogens (Basel, Switzerland)·2026
Same author

Synonymous codon usage defines functional gene families.

BMC biology·2026
Same author

A Plant-Derived Antifungal Agent, Poacic Acid, Inhibits Germination and Tube Growth of Lily Pollen.

Plants (Basel, Switzerland)·2025
Same author

Divergent Morphologies and Common Signaling Features of Active and Inactive Oncogenic <i>RHOA</i> Mutants in Yeast.

Cells·2025

Related Experiment Video

Updated: Feb 10, 2026

Author Spotlight: Tracing the Ferroptotic Signatures and Cell Death Dynamics in Medulloblastoma for Advanced Therapeutics
04:01

Author Spotlight: Tracing the Ferroptotic Signatures and Cell Death Dynamics in Medulloblastoma for Advanced Therapeutics

Published on: March 15, 2024

2.0K

High-dimensional single-cell phenotyping reveals extensive haploinsufficiency.

Shinsuke Ohnuki1, Yoshikazu Ohya1,2

  • 1Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan.

Plos Biology
|May 17, 2018
PubMed
Summary

Haploinsufficiency, a rare dominant phenotype, was found in over half of essential yeast genes under optimal conditions. This study highlights single-cell phenotyping

More Related Videos

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells
09:18

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells

Published on: March 30, 2017

8.2K
Characterization of Cell Membrane Extensions and Studying Their Roles in Cancer Cell Adhesion Dynamics
08:11

Characterization of Cell Membrane Extensions and Studying Their Roles in Cancer Cell Adhesion Dynamics

Published on: March 26, 2018

8.8K

Related Experiment Videos

Last Updated: Feb 10, 2026

Author Spotlight: Tracing the Ferroptotic Signatures and Cell Death Dynamics in Medulloblastoma for Advanced Therapeutics
04:01

Author Spotlight: Tracing the Ferroptotic Signatures and Cell Death Dynamics in Medulloblastoma for Advanced Therapeutics

Published on: March 15, 2024

2.0K
Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells
09:18

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells

Published on: March 30, 2017

8.2K
Characterization of Cell Membrane Extensions and Studying Their Roles in Cancer Cell Adhesion Dynamics
08:11

Characterization of Cell Membrane Extensions and Studying Their Roles in Cancer Cell Adhesion Dynamics

Published on: March 26, 2018

8.8K

Area of Science:

  • Genetics and Molecular Biology
  • Cell Biology
  • Yeast Genetics

Background:

  • Haploinsufficiency, a dominant phenotype from heterozygous loss-of-function mutations, is infrequently observed.
  • Essential genes are crucial for cell survival, and their functions are extensively studied.
  • Understanding gene function under varying conditions is vital for biological research.

Purpose of the Study:

  • To investigate the prevalence and characteristics of haploinsufficiency in essential yeast genes.
  • To explore the utility of high-dimensional single-cell phenotyping for detecting haploinsufficiency.
  • To map gene networks based on observed haploinsufficiency phenotypes.

Main Methods:

  • Utilized high-dimensional single-cell phenotyping to analyze yeast morphological characteristics.
  • Assessed 1,112 essential genes under optimal and severe growth conditions.
  • Examined heterozygous deletion mutants for haploinsufficiency phenotypes.

Main Results:

  • Haploinsufficiency was revealed in over 50% of essential genes under optimal conditions.
  • 40% of essential genes, without clear phenotypes at optimal conditions, showed haploinsufficiency under stress.
  • Haploinsufficiency occurred more frequently in essential versus nonessential genes.
  • Similar phenotypes were observed in functionally related gene mutants, indicating functional defects.
  • A gene network was constructed based on haploinsufficiency phenotype similarities.

Conclusions:

  • Single-cell phenotyping is a powerful tool for uncovering haploinsufficiency, even in heterozygous states.
  • The study provides a comprehensive dataset on essential gene functions and their heterozygous effects.
  • Findings suggest a broader role for haploinsufficiency in biological systems than previously recognized.