Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Measuring and analyzing tissue specificity of human genes and protein complexes | Emig et al. EURASIP Journal on Bioinformatics and Systems Biology 2011 2011 5 http content 2011 1 5 s EURASIP Journal on Bioinformatics and Systems Biology a SpringerOpen Journal RESEARCH Open Access Measuring and analyzing tissue specificity of human genes and protein complexes Dorothea Emig Tim Kacprowski and Mario Albrecht Abstract Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue occurrence is important for understanding biological processes. Therefore we analyzed microarray and high-throughput RNA-sequencing data to identify tissue-specific and universally expressed genes. Gene expression data were used to investigate the presence of proteins protein interactions and protein complexes in different tissues. Our comparison shows that the detection of tissue-specific genes and proteins strongly depends on the applied measurement technique. We found that microarrays are less sensitive for low expressed genes than high-throughput sequencing. Functional analyses based on microarray data are thus biased towards high expressed genes. This also means that previous biological findings based on microarrays might have to be re-examined using high-throughput sequencing results. Keywords gene expression protein interaction tissue specificity Introduction It is essential for human systems biology and medicine to understand the tissue specificity of expressed genes and their products which are involved in important cellular processes and diseases. Over the last years many studies were based on the freely available Novartis Gene Atlas data to investigate the tissue specificity of human gene expression and its biological impact on protein expression and protein interaction networks 1 2 . The Gene Atlas data consists of comprehensive gene expression datasets for a wide variety of tissues and cell lines 3 . However these data were already published in 2004 and the microarrays employed to obtain the
