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The Identification And Analysis Of Gene Expression Profile In CD4~+ And CD8~+T Cells From Systemic Lupus Erythematosus Patients With GLGI Technique

Posted on:2007-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:H L WangFull Text:PDF
GTID:2144360185470315Subject:Dermatology and Venereology
Abstract/Summary:PDF Full Text Request
Background and Aims: Systemic lupus erythematosus (SLE) is one of the severe autoimmune diseases characterized by multiple organ injuried in association with the persisting production of abundant autoantibodies to components of the cell nucleus. The pathological findings, including inflammatory, immune complex deposition,vasclulitis and vasculopathy, are found in patients with SLE.The exact aetiology and pathogenesis of SLE remains elusive.The clinical manifestation of SLE is extremely complicated, with multifactorial interaction among various genetic and environmental factors, and multiple genes contribute to disease susceptibility. Dysfunction of immune regulatory mechanisms in SLE patients plays an important role in pathogenesis of SLE.The primary abnormal of T cells is the basis in cell immunity disorder of SLE. According to relative studies, the SLE is actually a T cell-dependent autoimmune disease. To investigate the disorder of T cells in immune response and immune regulative mechanism, the gene expression profiles of CD4~+ and CD8~+ T cells from SLE were constructed with long serial analysis of gene expression (LongSAGE) protocol in our previous study.In the present study, we try to find out the relationship between the differentially expressed genes in cDNA of the CD4+ and CD8+ T cells and the pathogenesis of SLE by the genes functional clustering analysis. The cDNA fragment, which extends from a single matched or unmatched LongSAGE tag toward the 3'end of the corresponding sequence, can be generated with the generation of longer cDNA fragments from serial analysis of gene expression (SAGE) tags for gene identification(GLGI). According to the result of sequencing, we will select and identify the LongSAGE tags which could play a role in SLE by bioinformatics analysis.To further explore the role of the identified genes in SLE, we study the expression of the gene in CD4+ or CD8+ T cells from SLE patients respectively .
Keywords/Search Tags:systemic lupus erythematosus, GLGI, LongSAGE, interferon-γ-inducible protein 30 gene(IP-30)
PDF Full Text Request
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