Literature DB >> 14647261

HistoCheck: rating of HLA class I and II mismatches by an internet-based software tool.

H-A Elsner1, D DeLuca, J Strub, R Blasczyk.   

Abstract

HLA polymorphism is a major barrier for hematopoietic stem cell and solid organ transplantation. To estimate the allogeneic potential between HLA-mismatched stem cell donor/recipient pairs, we recently proposed a matching score (dissimilarity index) that is based on the structural data of HLA class I molecules, and on the functional similarity of amino acids (AA). This first approach revealed new features about presumptive subtype allogenicities within the HLA-A*23 and A*24 groups. We have now developed an internet-based software tool ("HistoCheck") that is capable to assess the allogenicity (matching score) between any pair of clinically relevant HLA class I, and also class II, alleles. Newly described HLA sequences will be regularly integrated into the database according to the nomenclature for factors of the HLA system updates. The software is intended to be a first step for estimating the allogenicity of HLA mismatches in peculiar clinical settings, as long as there are no reliable in vitro or clinical studies available. The algorithm can later be modified according to functional data, for example, peptide-binding specificities. With the extension of the sequence similarity concept to all clinically relevant HLA class I and II loci, HistoCheck may contribute to prevent HLA mismatching being a matter of chance.

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Year:  2004        PMID: 14647261     DOI: 10.1038/sj.bmt.1704301

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  14 in total

1.  Amino acid substitution at peptide-binding pockets of HLA class I molecules increases risk of severe acute GVHD and mortality.

Authors:  Joseph Pidala; Tao Wang; Michael Haagenson; Stephen R Spellman; Medhat Askar; Minoo Battiwalla; Lee Ann Baxter-Lowe; Menachem Bitan; Marcelo Fernandez-Viña; Manish Gandhi; Ann A Jakubowski; Martin Maiers; Susana R Marino; Steven G E Marsh; Machteld Oudshoorn; Jeanne Palmer; Vinod K Prasad; Vijay Reddy; Olle Ringden; Wael Saber; Stella Santarone; Kirk R Schultz; Michelle Setterholm; Elizabeth Trachtenberg; E Victoria Turner; Ann E Woolfrey; Stephanie J Lee; Claudio Anasetti
Journal:  Blood       Date:  2013-08-27       Impact factor: 22.113

2.  Scoring HLA class I mismatches by HistoCheck does not predict clinical outcome in unrelated hematopoietic stem cell transplantation.

Authors:  Stephen Spellman; John Klein; Michael Haagenson; Medhat Askar; Lee Ann Baxter-Lowe; Jun He; Susan Hsu; Rainer Blasczyk; Carolyn Hurley
Journal:  Biol Blood Marrow Transplant       Date:  2011-09-29       Impact factor: 5.742

3.  A single amino-acid polymorphism in pocket A of HLA-A*6602 alters the auxiliary anchors compared with HLA-A*6601 ligands.

Authors:  Christina Bade-Doeding; Holger-Andreas Elsner; Britta Eiz-Vesper; Axel Seltsam; Ute Holtkamp; Rainer Blasczyk
Journal:  Immunogenetics       Date:  2004-04-30       Impact factor: 2.846

4.  HLA-A disparities illustrate challenges for ranking the impact of HLA mismatches on bone marrow transplant outcomes in the United States.

Authors:  Lee Ann Baxter-Lowe; Martin Maiers; Stephen R Spellman; Michael D Haagenson; Tao Wang; Marcelo Fernandez-Vina; Steven G E Marsh; Mary Horowitz; Carolyn Katovich Hurley
Journal:  Biol Blood Marrow Transplant       Date:  2009-08       Impact factor: 5.742

5.  In silico prediction of nonpermissive HLA-DPB1 mismatches in unrelated HCT by functional distance.

Authors:  Esteban Arrieta-Bolaños; Pietro Crivello; Bronwen E Shaw; Kwang Woo Ahn; Hai-Lin Wang; Michael R Verneris; Katharine C Hsu; Joseph Pidala; Stephanie J Lee; Katharina Fleischhauer; Stephen R Spellman
Journal:  Blood Adv       Date:  2018-07-24

6.  HLA mismatches and hematopoietic cell transplantation: structural simulations assess the impact of changes in peptide binding specificity on transplant outcome.

Authors:  Chen Yanover; Effie W Petersdorf; Mari Malkki; Ted Gooley; Stephen Spellman; Andrea Velardi; Peter Bardy; Alejandro Madrigal; Jean-Denis Bignon; Philip Bradley
Journal:  Immunome Res       Date:  2011

Review 7.  Predicting alloreactivity in transplantation.

Authors:  Kirsten Geneugelijk; Kirsten Anne Thus; Eric Spierings
Journal:  J Immunol Res       Date:  2014-04-28       Impact factor: 4.818

8.  Soluble HLA technology as a strategy to evaluate the impact of HLA mismatches.

Authors:  Heike Kunze-Schumacher; Rainer Blasczyk; Christina Bade-Doeding
Journal:  J Immunol Res       Date:  2014-09-01       Impact factor: 4.818

9.  MH2c: Characterization of major histocompatibility α-helices - an information criterion approach.

Authors:  B Hischenhuber; F Frommlet; W Schreiner; B Knapp
Journal:  Comput Phys Commun       Date:  2012-07       Impact factor: 4.390

10.  Differential geometric analysis of alterations in MH α-helices.

Authors:  Birgit Hischenhuber; Hans Havlicek; Jelena Todoric; Sonja Höllrigl-Binder; Wolfgang Schreiner; Bernhard Knapp
Journal:  J Comput Chem       Date:  2013-05-24       Impact factor: 3.376

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