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Related Concept Videos

Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.
Test Cross01:39

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Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.
Bone Marrow Sampling and Transplants01:22

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Related Experiment Video

Updated: Jun 22, 2026

Using Quantitative Real-time PCR to Determine Donor Cell Engraftment in a Competitive Murine Bone Marrow Transplantation Model
10:11

Using Quantitative Real-time PCR to Determine Donor Cell Engraftment in a Competitive Murine Bone Marrow Transplantation Model

Published on: March 7, 2013

Using real data for a virtual crossmatch.

Andrea A Zachary1, Jeffrey T Sholander, Julie A Houp

  • 1Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. aaz@jhmi.edu

Human Immunology
|June 17, 2009
PubMed
Summary
This summary is machine-generated.

Virtual crossmatches using solid-phase assays accurately predict transplant compatibility. This method enhances donor-specific antibody identification and improves prediction of cytotoxic (CDC) and flow cytometric crossmatch outcomes.

Related Experiment Videos

Last Updated: Jun 22, 2026

Using Quantitative Real-time PCR to Determine Donor Cell Engraftment in a Competitive Murine Bone Marrow Transplantation Model
10:11

Using Quantitative Real-time PCR to Determine Donor Cell Engraftment in a Competitive Murine Bone Marrow Transplantation Model

Published on: March 7, 2013

Area of Science:

  • Transplantation immunology
  • Immunogenetics
  • Clinical diagnostics

Background:

  • Virtual crossmatches have been used for decades to assess transplant compatibility.
  • Solid-phase assays offer enhanced accuracy in identifying and quantifying donor-specific antibodies (DSA).

Purpose of the Study:

  • To establish the correlation between solid-phase assay results and actual crossmatch outcomes.
  • To evaluate the predictive accuracy of virtual crossmatches for solid-phase assays.
  • To explore the utility of virtual crossmatches in post-transplant monitoring.

Main Methods:

  • Correlating antibody testing assay results with actual cytotoxic (CDC) and flow cytometric crossmatches.
  • Utilizing solid-phase phenotype panels to define DSA identity and strength.
  • Establishing prediction thresholds based on established correlations.

Main Results:

  • Strong correlations were observed between DSA defined with solid-phase phenotype panels and both CDC (r = 0.83) and flow cytometric (r = 0.85) crossmatches.
  • Accurate prediction of CDC and flow cytometric crossmatch results was achieved in 92.8% and 92.4% of cases, respectively.
  • Lower correlations were found with single antigen panels, potentially due to antigen variability and assay sensitivity.

Conclusions:

  • Solid-phase assays provide a robust method for virtual crossmatching, significantly improving prediction of transplant compatibility.
  • Virtual crossmatching can be effectively used for pre- and post-transplant monitoring.
  • Enhancing solid-phase assay data with additional information can further increase prediction accuracy.