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 Experiment Videos

Functional mapping for genetic control of programmed cell death.

Yuehua Cui1, Jun Zhu, Rongling Wu

  • 1Department of Statistics, University of Florida, Gainesville, Florida 32611, USA.

Physiological Genomics
|February 9, 2006
PubMed
Summary

Scientists developed a new statistical model to map genes controlling programmed cell death (PCD). This model analyzes PCD

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

[Clinical characteristics, treatments and outcome of diabetic patients with non-ST elevation acute coronary syndromes in China].

Zhonghua xin xue guan bing za zhi·2011
Same author

A non-parametric method for building predictive genetic tests on high-dimensional data.

Human heredity·2011
Same author

Predictive genes in adjacent normal tissue are preferentially altered by sCNV during tumorigenesis in liver cancer and may rate limiting.

PloS one·2011
Same author

Glycerol-3-phosphate acyltransferase 6 (GPAT6) is important for tapetum development in Arabidopsis and plays multiple roles in plant fertility.

Molecular plant·2011
Same author

Telmisartan, ramipril, or both in high-risk Chinese patients: analysis of ONTARGET China data.

Chinese medical journal·2011
Same author

Geographical detector-based risk assessment of the under-five mortality in the 2008 Wenchuan earthquake, China.

PloS one·2011

Area of Science:

  • Developmental Biology
  • Genetics
  • Biostatistics

Background:

  • Programmed cell death (PCD) is crucial for metazoan development and survival.
  • PCD is a genetically controlled process involving specialized cellular machinery.
  • Understanding the genetic basis of PCD is essential for developmental biology.

Purpose of the Study:

  • To develop a novel statistical model for mapping genes or quantitative trait loci (QTL) controlling programmed cell death (PCD).
  • To incorporate the distinct biological stages of PCD (exponential growth and polynomial death) into a statistical framework.
  • To provide a method for identifying genetic determinants of cell death during development.

Main Methods:

  • Developed a statistical model integrating gene mapping with PCD biological mechanisms.
  • Utilized a parametric approach for the exponential growth phase of PCD.
  • Employed a nonparametric approach using Legendre functions for the polynomial death phase.
  • Applied stationary and nonstationary covariance models to analyze cell number dynamics over time.

Main Results:

  • The novel statistical model effectively maps genes or QTL associated with PCD.
  • The model accurately represents the two distinct developmental stages of PCD.
  • Simulation studies confirmed the model's statistical behavior and validity.
  • The model was successfully validated using a real-world example in rice.

Conclusions:

  • The developed statistical model offers a powerful tool for genetic analysis of programmed cell death.
  • This approach enhances our understanding of the genetic control underlying cell death during development.
  • The findings have implications for studying developmental processes and genetic disorders in metazoans.

Related Experiment Videos