National Basic Research Program of China (973 Program) (Nos. 2011CB910600, 2010CB912700, 2013CB911200), National High Technology Research and Development Program of China (863 Program) (Nos. 2012AA020409, 2012AA020201), National Natural Science Foundation of China (Nos. 21105121, 21275160), Beijing Natural Science Foundation (No. 5122013).
With the rapid development of genome sequencing technologies, a large amount of prokaryote genomes have been sequenced in recent years. To further investigate the models and functions of genomes, the algorithms for genome annotations based on the sequence and homology features have been widely implemented to newly sequenced genomes. However, gene annotations only using the genomic information are prone to errors, such as the incorrect N-terminals and pseudogenes. It is even harder to provide reasonable annotating results in the case of the poor genome sequencing results. The transcriptomics based on the technologies such as microarray and RNA-seq and the proteomics based on the MS/MS have been used widely to identify the gene products with high throughput and high sensitivity, providing the powerful tools for the verification and correction of annotated genome. Compared with transcriptomics, proteomics can generate the protein list for the expressed genes in the samples or cells without any confusion of the non-coding RNA, leading the proteogenomics an important basis for the genome annotations in prokaryotes. In this paper, we first described the traditional genome annotation algorithms and pointed out the shortcomings. Then we summarized the advantages of proteomics in the genome annotations and reviewed the progress of proteogenomics in prokaryotes. Finally we discussed the challenges and strategies in the data analyses and potential solutions for the developments of proteogenomics.
张成普,徐平,朱云平. 原核生物蛋白质基因组学研究进展[J]. Chinese Journal of Biotechnology, 2014, 30(7): 1026-1035
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