Literature DB >> 21773946

Transcription profiling of Prss16 (Tssp) can be used to find additional peptidase genes that are candidates for self-peptide generation in the thymus.

Thaís A Fornari1, Márcia M Marques, Catherine Nguyen, Alice Carrier, Geraldo A Passos.   

Abstract

Positive selection (PS) in the thymus involves the presentation of self-peptides that are bound to MHC class II on the surface of cortical thymus epithelial cells (cTECs). Prss16 gene corresponds to one important element regulating the PS of CD4(+) T lymphocytes, which encodes Thymus-specific serine protease (Tssp), a cTEC serine-type peptidase involved in the proteolytic generation of self-peptides. Nevertheless, additional peptidase genes participating in the generation of self-peptides need to be found. Because of its role in the mechanism of PS and its expression in cTECs, the Prss16 gene might be used as a transcriptional marker to identify new genes that share the same expression profile and that encode peptidases in the thymus. To test this hypothesis, we compared the differential thymic expression of 4,500 mRNAs of wild-type (WT) C57BL/6 mice with their respective Prss16-knockout (KO) mutants by using microarrays. From these, 223 genes were differentially expressed, of which 115 had known molecular/biological functions. Four endopeptidase genes (Casp1, Casp2, Psmb3 and Tpp2) share the same expression profile as the Prss16 gene; i.e., induced in WT and repressed in KO while one endopeptidase gene, Capns1, features opposite expression profile. The Tpp2 gene is highlighted because it encodes a serine-type endopeptidase functionally similar to the Tssp enzyme. Profiling of the KO mice featured down-regulation of Prss16, as expected, along with the genes mentioned above. Considering that the Prss16-KO mice featured impaired PS, the shared regulation of the four endopeptidase genes suggested their participation in the mechanism of self-peptide generation and PS.

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Year:  2011        PMID: 21773946     DOI: 10.1007/s11033-011-1186-3

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  28 in total

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Authors:  J S Arthur; J S Elce; C Hegadorn; K Williams; P A Greer
Journal:  Mol Cell Biol       Date:  2000-06       Impact factor: 4.272

Review 2.  Self-representation in the thymus: an extended view.

Authors:  Bruno Kyewski; Jens Derbinski
Journal:  Nat Rev Immunol       Date:  2004-09       Impact factor: 53.106

Review 3.  Antigen presentation in the thymus for positive selection and central tolerance induction.

Authors:  Ludger Klein; Maria Hinterberger; Gerald Wirnsberger; Bruno Kyewski
Journal:  Nat Rev Immunol       Date:  2009-12       Impact factor: 53.106

4.  Characterization of seven murine caspase family members.

Authors:  M Van de Craen; P Vandenabeele; W Declercq; I Van den Brande; G Van Loo; F Molemans; P Schotte; W Van Criekinge; R Beyaert; W Fiers
Journal:  FEBS Lett       Date:  1997-02-10       Impact factor: 4.124

5.  The complete primary structure of mouse 20S proteasomes.

Authors:  L A Elenich; D Nandi; A E Kent; T S McCluskey; M Cruz; M N Iyer; E C Woodward; C W Conn; A L Ochoa; D B Ginsburg; J J Monaco
Journal:  Immunogenetics       Date:  1999-09       Impact factor: 2.846

6.  Analysis of the thymic microenvironment by monoclonal antibodies with special reference to thymic nurse cells.

Authors:  K Hirokawa; M Utsuyama; E Moriizumi; S Handa
Journal:  Thymus       Date:  1986

7.  Investigation of a role for Glu-331 and Glu-305 in substrate binding of tripeptidyl-peptidase II.

Authors:  Ann-Christin Lindås; Sandra Eriksson; Emese Jozsa; Birgitta Tomkinson
Journal:  Biochim Biophys Acta       Date:  2008-09-05

8.  Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis.

Authors:  Ming Yi; Uma Mudunuri; Anney Che; Robert M Stephens
Journal:  BMC Bioinformatics       Date:  2009-06-29       Impact factor: 3.169

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  Expression-based Pathway Signature Analysis (EPSA): mining publicly available microarray data for insight into human disease.

Authors:  Jessica D Tenenbaum; Michael G Walker; Paul J Utz; Atul J Butte
Journal:  BMC Med Genomics       Date:  2008-10-20       Impact factor: 3.063

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