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

Feedback loops, reversals and nonlinearities in lymphocyte development.

Ramit Mehr1

  • 1The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, 52900, Israel. mehrra@mail.biu.ac.il

Bulletin of Mathematical Biology
|June 24, 2006
PubMed
Summary

Cell differentiation, particularly in lymphocytes, is more complex than a simple linear progression. Mathematical models reveal nonlinear dynamics, feedback loops, and developmental reversals in T and B cell development.

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

B-cell Receptor Silencing Reveals the Origin and Dependencies of High-Grade B-cell Lymphomas with MYC and BCL2 Rearrangements.

Blood cancer discovery·2025
Same author

Ibrutinib With Bendamustine and Rituximab for Treatment of Patients With Relapsed/Refractory Aggressive B-Cell Lymphoma.

Hematological oncology·2024
Same author

Immunomolecular and reactivity landscapes of gut IgA subclasses in homeostasis and inflammatory bowel disease.

The Journal of experimental medicine·2024
Same author

B cell M-CLL clones retain selection against replacement mutations in their immunoglobulin gene framework regions.

Frontiers in oncology·2023
Same author

Mutational patterns along different evolution paths of follicular lymphoma.

Frontiers in oncology·2022
Same author

IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis.

Frontiers in immunology·2022

Area of Science:

  • Immunology
  • Developmental Biology
  • Mathematical Biology

Background:

  • Cell differentiation is commonly viewed as a fixed, unidirectional process.
  • Mathematical modeling offers insights into complex biological systems.
  • Previous models of lymphocyte development did not fully capture system dynamics.

Purpose of the Study:

  • To review mathematical modeling approaches for understanding cell differentiation.
  • To highlight the complexity of lymphocyte development, including nonlinearities and feedback.
  • To discuss challenges in modeling lymphocyte repertoire generation and regulation.

Main Methods:

  • Review of mathematical models applied to T cell and B cell development.
  • Analysis of cell population dynamics, including density-dependent growth.

Related Experiment Videos

  • Investigation of feedback regulation and phenotypic reflux in developing lymphocytes.

    • Main Results:

    • Cell population growth in developing lymphocyte subsets is nonlinear and density-dependent.
    • T cell development involves feedback regulation from mature T cell subsets.
    • B cell development exhibits a phenotypic reflux from later to earlier stages.

    Conclusions:

    • Lymphocyte differentiation systems are not strictly unidirectional.
    • Mathematical models reveal complex dynamics such as nonlinear transitions and feedback.
    • Understanding these complex dynamics is crucial for explaining lymphocyte repertoire generation and regulation.