Abstract PURPOSE: In the recent past, the potential suitability of fixed samples to 2D-DIGE studies has been demonstrated on model tissues, but not on "real-world" archival tissues. Therefore, this study was aimed to assess the quality of the results delivered by 2D-DIGE on samples retrieved from hospital tissue repositories. EXPERIMENTAL DESIGN: Diseased and normal tissue samples (namely, human gastric adenocarcinoma and normal gastric tissue, human lung neuroendocrine tumors, canine mammary tubulo-papillary carcinoma and normal mammary tissue, sheep liver with cloudy swelling degeneration and normal liver tissue) were retrieved from human and veterinary biorepositories and subjected to full-length protein extraction, cyanine labeling, 2D-DIGE separation, image analysis, MS analysis, and protein identification. RESULTS: Archival samples could be successfully subjected to 2D-DIGE, providing maps of satisfactory resolution, although with varying pattern complexity (possibly influenced by preanalytical variables). Moreover, differentially expressed protein identities were consistent with the disease biology. CONCLUSIONS AND CLINICAL RELEVANCE: 2D-DIGE can support biomarker discovery and validation studies on large sample cohorts. In fact, although some information complexity is lost when compared to fresh-frozen tissues, their vast availability and the associated patient information can considerably boost studies suffering limited sample availability or involving long-distance exchange of samples.

Application of 2D-DIGE to formalin-fixed diseased tissue samples from hospital repositories: results from four case studies / Tanca, A; Pisanu, S; Biosa, G; Pagnozzi, D; Antuofermo, Elisabetta; Burrai, Giovanni Pietro; Canzonieri, V; COSSU ROCCA, Paolo Alessandro; De Re, V; Eccher, A; Fanciulli, Giuseppe; Rocca, Stefano; Uzzau, Sergio; Addis, M. F.. - In: PROTEOMICS. CLINICAL APPLICATIONS. - ISSN 1862-8346. - 7:Oct. 23(2013), pp. 252-263. [10.1002/prca.201200054]

Application of 2D-DIGE to formalin-fixed diseased tissue samples from hospital repositories: results from four case studies.

Tanca A;ANTUOFERMO, Elisabetta;BURRAI, Giovanni Pietro;COSSU ROCCA, Paolo Alessandro;FANCIULLI, Giuseppe;ROCCA, Stefano;UZZAU, Sergio;
2013-01-01

Abstract

Abstract PURPOSE: In the recent past, the potential suitability of fixed samples to 2D-DIGE studies has been demonstrated on model tissues, but not on "real-world" archival tissues. Therefore, this study was aimed to assess the quality of the results delivered by 2D-DIGE on samples retrieved from hospital tissue repositories. EXPERIMENTAL DESIGN: Diseased and normal tissue samples (namely, human gastric adenocarcinoma and normal gastric tissue, human lung neuroendocrine tumors, canine mammary tubulo-papillary carcinoma and normal mammary tissue, sheep liver with cloudy swelling degeneration and normal liver tissue) were retrieved from human and veterinary biorepositories and subjected to full-length protein extraction, cyanine labeling, 2D-DIGE separation, image analysis, MS analysis, and protein identification. RESULTS: Archival samples could be successfully subjected to 2D-DIGE, providing maps of satisfactory resolution, although with varying pattern complexity (possibly influenced by preanalytical variables). Moreover, differentially expressed protein identities were consistent with the disease biology. CONCLUSIONS AND CLINICAL RELEVANCE: 2D-DIGE can support biomarker discovery and validation studies on large sample cohorts. In fact, although some information complexity is lost when compared to fresh-frozen tissues, their vast availability and the associated patient information can considerably boost studies suffering limited sample availability or involving long-distance exchange of samples.
2013
Application of 2D-DIGE to formalin-fixed diseased tissue samples from hospital repositories: results from four case studies / Tanca, A; Pisanu, S; Biosa, G; Pagnozzi, D; Antuofermo, Elisabetta; Burrai, Giovanni Pietro; Canzonieri, V; COSSU ROCCA, Paolo Alessandro; De Re, V; Eccher, A; Fanciulli, Giuseppe; Rocca, Stefano; Uzzau, Sergio; Addis, M. F.. - In: PROTEOMICS. CLINICAL APPLICATIONS. - ISSN 1862-8346. - 7:Oct. 23(2013), pp. 252-263. [10.1002/prca.201200054]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/46390
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