his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
miHA-Match: Computational detection of tissue-specific minor histocompatibility antigens
University of Tübingen, Center for Bioinformatics, Applied Bioinformatics, Sand 14, 72076 Tübingen, Germany.
University of Skövde, School of Life Sciences. University of Skövde, The Systems Biology Research Centre.
University of Tübingen, Center for Bioinformatics, Applied Bioinformatics, Sand 14, 72076 Tübingen, Germany.
University Children's Hospital, Department of, Hematology/Oncology, Hoppe-Seyler Str. 1, 72076, Tübingen, Germany.
Show others and affiliations
2012 (English)In: JIM - Journal of Immunological Methods, ISSN 0022-1759, E-ISSN 1872-7905, Vol. 386, no 1-2, 94-100 p.Article in journal (Refereed) Published
Abstract [en]

Allogenic stem cell transplantation has shown considerable success in a number of hematological malignancies, in particular in leukemia. The beneficial effect is mediated by donor T cells recognizing patient-specific HLA-binding peptides. These peptides are called minor histocompatibility antigens (miHAs) and are typically caused by single nucleotide polymorphisms. Tissue-specific miHAs have successfully been used in anti-tumor therapy without causing unspecific graft-versus-host reactions. However, only a small number of miHAs have been identified to date, limiting the clinical use.

Here we present an immunoinformatics pipeline for the identification of miHAs. The pipeline can be applied to large-scale miHA screening, for example, in the development of diagnostic tests. Another interesting application is the design of personalized miHA-based cancer therapies based on patient-donor pair-specific miHAs detected by this pipeline. The suggested method covers various aspects of genetic variant detection, effects of alternative transcripts, and HLA-peptide binding. A comparison of our computational pipeline and experimentally derived datasets shows excellent agreement and coverage of the computationally predicted miHAs.

Place, publisher, year, edition, pages
Elsevier, 2012. Vol. 386, no 1-2, 94-100 p.
Keyword [en]
Minor histocompatibility antigens, Immunoinformatics, Transplantation
National Category
Bioinformatics and Systems Biology
Research subject
Natural sciences
Identifiers
URN: urn:nbn:se:his:diva-7141DOI: 10.1016/j.jim.2012.09.004ISI: 000311132800012PubMedID: 22985828Scopus ID: 2-s2.0-84867445887OAI: oai:DiVA.org:his-7141DiVA: diva2:605217
Available from: 2013-02-13 Created: 2013-02-07 Last updated: 2016-01-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Dönnes, Pierre
By organisation
School of Life SciencesThe Systems Biology Research Centre
In the same journal
JIM - Journal of Immunological Methods
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 74 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf