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

Estimating hypermutation rates from clonal tree data.

Steven H Kleinstein1, Yoram Louzoun, Mark J Shlomchik

  • 1Department of Computer Science, Princeton University, Princeton, NJ 08544, USA. stevenk@cs.princeton.edu

Journal of Immunology (Baltimore, Md. : 1950)
|October 22, 2003
PubMed
Summary
This summary is machine-generated.

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

AMULETY: A Python package to embed adaptive immune receptor sequences.

Immunoinformatics (Amsterdam, Netherlands)·2026
Same author

GLUT1-mediated glucose flux constrains autoreactive but not foreign antigen-specific B-cell responses.

Journal of immunology (Baltimore, Md. : 1950)·2026
Same author

A platform for parallel TCR cloning and testing enables anti-neoantigen tumor immunotherapy.

JCI insight·2026
Same author

Empiric azithromycin alters the upper respiratory microbiome and resistome without anti-inflammatory benefit in COVID-19.

Nature microbiology·2026
Same author

High-throughput cloning reveals diverse properties of T-cell receptors targeting minor histocompatibility antigens.

Blood advances·2026
Same author

Single-cell immunophenotyping identifies CD8+GZMK+IFNG+ T cells as a key immune population in cutaneous Lyme disease.

JCI insight·2026

Estimating somatic hypermutation rates is crucial for understanding immune responses. This study developed novel methods using B cell clonal data, yielding comparable mutation rates for autoimmune and antigen-specific responses.

Area of Science:

  • Immunology
  • Molecular Biology
  • Genetics

Background:

  • Accurate estimation of somatic hypermutation rate is essential for understanding immune and autoimmune responses.
  • Existing estimates are imprecise, hindering a full understanding of mutation patterns.
  • B cell microdissection studies offer a novel approach for precise mutation rate measurement.

Purpose of the Study:

  • To develop and apply novel methods for estimating the somatic hypermutation rate.
  • To compare mutation rates in autoimmune and antigen-specific immune responses.
  • To analyze the influence of biological assumptions on mutation rate estimations.

Main Methods:

  • Development of two distinct computational methods to estimate mutation rates from microdissected B cell clonal sequences.

Related Experiment Videos

  • Analysis of genealogically related sequences within clonal trees derived from experimental data.
  • Application of methods to data from both autoimmune and (4-hydroxy-3-nitrophenyl)acetyl (NP) antihapten responses.

    • Main Results:

    • Comparable somatic hypermutation rates were estimated for both autoimmune and NP responses.
    • Estimated rates were 0.7-0.9 x 10^-3 bp^-1 division^-1 for autoimmune response.
    • Estimated rates were 0.9-1.1 x 10^-3 bp^-1 division^-1 for NP response.

    Conclusions:

    • The developed methods provide more accurate estimates of somatic hypermutation rates.
    • Somatic hypermutation rates are similar across different types of immune responses.
    • Further investigation is needed to understand the impact of assumptions like lethal mutations on rate estimates.