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

A computerized method to predict the discriminatory properties for class II sequencing based typing

E H Rozemuller1, M G Tilanus

  • 1Diagnostic DNA Laboratory, University Hospital, Utrecht, The Netherlands.

Human Immunology
|March 1, 1996
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

Common and well-documented HLA alleles: 2012 update to the CWD catalogue.

Tissue antigens·2013
Same author

NK-KIR ligand identification: a quick Q-PCR approach for HLA-C epitope typing.

Tissue antigens·2007
Same author

Role of human leucocyte antigen DQ in the presentation of T cell epitopes in the major cow's milk allergen alphas1-casein.

International archives of allergy and immunology·2007
Same author

High level of chromosome 15 aneuploidy in head and neck squamous cell carcinoma lesions identified by FISH analysis: limited value of beta2-microglobulin LOH analysis.

Tissue antigens·2004
Same author

A multicenter international evaluation of single-tube amplification protocols for sequencing-based typing of HLA-DRB1 and HLA-DRB3,4,5.

Tissue antigens·2004
Same author

HLA-DPB1*0401 is associated with dominant protection against type 1 diabetes in the general Saudi population and in subjects with a high-risk DR/DQ haplotype.

European journal of immunogenetics : official journal of the British Society for Histocompatibility and Immunogenetics·2003

Accurate human leukocyte antigen (HLA) class II typing is crucial. New software identifies and resolves ambiguous genotypes in sequence-based typing (SBT), improving HLA allele identification accuracy.

Area of Science:

  • Immunogenetics
  • Molecular Biology
  • Bioinformatics

Background:

  • Accurate human leukocyte antigen (HLA) class II typing is essential for transplantation and disease association studies.
  • Current PCR-SSP and PCR-SSO methods for HLA typing have limitations in resolution due to primer and probe dependency.
  • The rapid increase in known HLA allele sequences necessitates re-evaluation of typing method discriminatory power.

Purpose of the Study:

  • To evaluate the applicability of sequence-based typing (SBT) for high-resolution HLA class II allele identification.
  • To identify and address ambiguities in SBT that arise from primer locations and generic amplification.
  • To develop and validate software for predicting and resolving ambiguous heterozygotes in HLA class II typing.

Main Methods:

Related Experiment Videos

  • Utilized a generic amplification and sequencing approach for HLA class II typing.
  • Developed software to predict ambiguous heterozygotes based on primer locations and allele sequences.
  • Analyzed WHO-accepted HLA allele sequences for HLA-DQB1, -DQA1, -DFB1, -DPA1, -DRB1, -DRB3, -DRB4, and -DRB5.
  • Main Results:

    • Sequence-based typing (SBT) offers high-resolution HLA class II typing by analyzing the second exon sequence.
    • A limited number of ambiguous heterozygotes can occur in SBT, dependent on primer location.
    • The developed software successfully predicts ambiguous heterozygotes and proposes solutions using group-specific primers.

    Conclusions:

    • SBT is a powerful high-resolution method for HLA class II typing.
    • The developed software effectively resolves ambiguities in SBT, enhancing typing accuracy.
    • This approach improves the reliability of HLA allele identification, crucial for clinical and research applications.