Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue\r\noccurrence is important for understanding biological processes. Therefore, we analyzed microarray and highthroughput\r\nRNA-sequencing data to identify tissue-specific and universally expressed genes. Gene expression data\r\nwere used to investigate the presence of proteins, protein interactions and protein complexes in different tissues.\r\nOur comparison shows that the detection of tissue-specific genes and proteins strongly depends on the applied\r\nmeasurement technique. We found that microarrays are less sensitive for low expressed genes than highthroughput\r\nsequencing. Functional analyses based on microarray data are thus biased towards high expressed\r\ngenes. This also means that previous biological findings based on microarrays might have to be re-examined using\r\nhigh-throughput sequencing results
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