BACKGROUND: High-density oligoarray technology is a novel method for screening the expression of thousands of genes in a small tissue sample. Oligoarray analysis of genes expressed during human renal allograft rejection has not been reported previously. METHODS: Seven human renal allograft biopsies with histologic evidence of acute cellular rejection and three renal allograft biopsies without evidence of rejection (control) were analyzed for the expression of 6800 human genes using high-density oligoarrays (GeneChip, Affymetrix, Santa Clara, CA). Quantitative expression of gene transcripts was determined and a comparison analysis between acute rejection and control biopsy samples was performed. Up-regulation of a specific gene transcript during acute rejection was considered to be significant if transcript abundance increased fourfold or more relative to control biopsy samples. RESULTS: Comparison analysis revealed that between 32 and 219 gene transcripts are up-regulated (>fourfold) during acute rejection. Of these transcripts, only four (human monokine induced by interferon-gamma, T-cell receptor active beta-chain protein, interleukin-2 stimulated phosphoprotein, and RING4 (a transporter involved in antigen presentation)) were consistently up-regulated in each acute rejection sample relative to at least two of three control biopsy samples. Six other genes were up-regulated in six of seven acute rejection samples. These were interferon-stimulated growth factor-3, complement factor 3, nicotinamide N-methyltransferase, macrophage inflammatory protein-3beta, myeloid differentiation protein, and CD18. Only two gene transcripts were down-regulated in five of seven acute rejection samples. Significant up-regulation of cytotoxic T-cell effector molecules, previously reported as markers of acute renal rejection in humans, was not detected. CONCLUSIONS: High-density oligoarray technology is useful for screening gene expression in transplanted tissues undergoing acute rejection. Because this method does not rely on a priori knowledge of which genes are involved in acute rejection, it is likely to yield novel insights into the mechanisms and diagnosis of rejection.
BACKGROUND: High-density oligoarray technology is a novel method for screening the expression of thousands of genes in a small tissue sample. Oligoarray analysis of genes expressed during human renal allograft rejection has not been reported previously. METHODS: Seven human renal allograft biopsies with histologic evidence of acute cellular rejection and three renal allograft biopsies without evidence of rejection (control) were analyzed for the expression of 6800 human genes using high-density oligoarrays (GeneChip, Affymetrix, Santa Clara, CA). Quantitative expression of gene transcripts was determined and a comparison analysis between acute rejection and control biopsy samples was performed. Up-regulation of a specific gene transcript during acute rejection was considered to be significant if transcript abundance increased fourfold or more relative to control biopsy samples. RESULTS: Comparison analysis revealed that between 32 and 219 gene transcripts are up-regulated (>fourfold) during acute rejection. Of these transcripts, only four (humanmonokine induced by interferon-gamma, T-cell receptor active beta-chain protein, interleukin-2 stimulated phosphoprotein, and RING4 (a transporter involved in antigen presentation)) were consistently up-regulated in each acute rejection sample relative to at least two of three control biopsy samples. Six other genes were up-regulated in six of seven acute rejection samples. These were interferon-stimulated growth factor-3, complement factor 3, nicotinamide N-methyltransferase, macrophage inflammatory protein-3beta, myeloid differentiation protein, and CD18. Only two gene transcripts were down-regulated in five of seven acute rejection samples. Significant up-regulation of cytotoxic T-cell effector molecules, previously reported as markers of acute renal rejection in humans, was not detected. CONCLUSIONS: High-density oligoarray technology is useful for screening gene expression in transplanted tissues undergoing acute rejection. Because this method does not rely on a priori knowledge of which genes are involved in acute rejection, it is likely to yield novel insights into the mechanisms and diagnosis of rejection.
Authors: Mi Jeong Kim; Roberto Romero; Chong Jai Kim; Adi L Tarca; Sovantha Chhauy; Christopher LaJeunesse; Deug-Chan Lee; Sorin Draghici; Francesca Gotsch; Juan Pedro Kusanovic; Sonia S Hassan; Jung-Sun Kim Journal: J Immunol Date: 2009-03-15 Impact factor: 5.422
Authors: Kristian L Brown; Olena Y Palyvoda; Jagdish S Thakur; Sandra L Nehlsen-Cannarella; Omar R Fagoaga; Scott A Gruber; Gregory W Auner Journal: Cytometry A Date: 2009-11 Impact factor: 4.355
Authors: R N Smith; B A Adam; I A Rosales; M Matsunami; T Oura; A B Cosimi; T Kawai; M Mengel; R B Colvin Journal: Am J Transplant Date: 2018-02-02 Impact factor: 8.086
Authors: R N Smith; M Matsunami; B A Adam; I A Rosales; T Oura; A B Cosimi; T Kawai; M Mengel; R B Colvin Journal: Am J Transplant Date: 2018-02-17 Impact factor: 8.086
Authors: Craig G Rogers; Jonathon A Ditlev; Min-Han Tan; Jun Sugimura; Chao-Nan Qian; Jeff Cooper; Brian Lane; Michael A Jewett; Richard J Kahnoski; Eric J Kort; Bin T Teh Journal: Am J Transl Res Date: 2009-01-01 Impact factor: 4.060
Authors: B D Modena; S M Kurian; L W Gaber; J Waalen; A I Su; T Gelbart; T S Mondala; S R Head; S Papp; R Heilman; J J Friedewald; S M Flechner; C L Marsh; R S Sung; H Shidban; L Chan; M M Abecassis; D R Salomon Journal: Am J Transplant Date: 2016-03-15 Impact factor: 8.086