测量和分析人类基因和蛋白质复合物的组织特异性。

Dorothea Emig, Tim Kacprowski, Mario Albrecht
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引用次数: 21

摘要

蛋白质及其相互作用对每个人类细胞的生存至关重要。了解它们的组织发生对于理解生物过程是很重要的。因此,我们分析了微阵列和高通量rna测序数据,以鉴定组织特异性和普遍表达的基因。基因表达数据用于研究蛋白质、蛋白质相互作用和蛋白质复合物在不同组织中的存在。我们的比较表明,组织特异性基因和蛋白质的检测在很大程度上取决于应用的测量技术。我们发现微阵列对低表达基因的敏感性低于高通量测序。因此,基于微阵列数据的功能分析偏向于高表达基因。这也意味着以前基于微阵列的生物学发现可能必须使用高通量测序结果重新检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring and analyzing tissue specificity of human genes and protein complexes.

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.

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