人类编码基因目录的状态
Miguel Maquedano1, Daniel Cerdán-Vélez1, Michael L Tress1
1Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Calle Melchor Fernandez Almagro, 3, 28029 Madrid, Spain.
Database : the journal of biological databases and curation
|September 25, 2025
概括
对人类蛋白质组存储库的分析揭示了基因分类中持续存在的差异. 超过3000个编码蛋白质的基因可能被错误分类,突出需要提高基因注释准确度.
科学领域:
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 生物信息学是一种生物信息学.
背景情况:
- 2018年之前的分析发现,主要的人类蛋白质组存储库 (Ensembl/GENCODE,RefSeq,UniProtKB) 在注释基因的编码状态方面存在重大分歧.
- 2018年的研究表明,超过4000个基因可能被错误地归类为编码.
研究的目的:
- 重新评估人类基因的编码状态,使用更新版本的三个主要参考基因组.
- 评估基因组共识的变化,并识别可能错误分类的编码基因.
主要方法:
- 从Ensembl/GENCODE,RefSeq和UniProtKB.B.中对基因注释进行比较分析.
- 识别库中编码状态的差异.
- 评估可能表明非编码潜力的基因特征.
主要成果:
- 更新后的分析仍然显示在2603个注释基因的状态上存在分歧 (大约是八分之一).
- 合作努力增加了共识,现在有249个额外的基因被同意作为编码.
- 超过2000个基因表现出表明它们可能不是编码的特征,其中大多数2603个有争议的基因属于这一类.
结论:
- 尽管得到了改进,但估计有3000个基因可能被错误地归类为编码基因,并被重新归类为非编码基因,伪基因或癌症抗原.
- 持续存在的差异强调了基因注释的动态性质,以及对基因组数据库的持续改进的需要.
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