{"title":"通过残留物分辨条形码和成分代码计数进行可扩增蛋白质识别。","authors":"Weiming Guo, Yuan Liu, Yu Han, Huan Tang, Xinyuan Fan, Chu Wang, Peng R Chen","doi":"10.1093/nsr/nwae183","DOIUrl":null,"url":null,"abstract":"<p><p>Ultrasensitive protein identification is of paramount importance in basic research and clinical diagnostics but remains extremely challenging. A key bottleneck in preventing single-molecule protein sequencing is that, unlike the revolutionary nucleic acid sequencing methods that rely on the polymerase chain reaction (PCR) to amplify DNA and RNA molecules, protein molecules cannot be directly amplified. Decoding the proteins via amplification of certain fingerprints rather than the intact protein sequence thus represents an appealing alternative choice to address this formidable challenge. Herein, we report a proof-of-concept method that relies on residue-resolved DNA barcoding and composition code counting for amplifiable protein fingerprinting (AmproCode). In AmproCode, selective types of residues on peptides or proteins are chemically labeled with a DNA barcode, which can be amplified and quantified via quantitative PCR. The operation generates a relative ratio as the residue-resolved 'composition code' for each target protein that can be utilized as the fingerprint to determine its identity from the proteome database. We developed a database searching algorithm and applied it to assess the coverage of the whole proteome and secretome via computational simulations, proving the theoretical feasibility of AmproCode. We then designed the residue-specific DNA barcoding and amplification workflow, and identified different synthetic model peptides found in the secretome at as low as the fmol/L level for demonstration. These results build the foundation for an unprecedented amplifiable protein fingerprinting method. We believe that, in the future, AmproCode could ultimately realize single-molecule amplifiable identification of trace complex samples without further purification, and it may open a new avenue in the development of next-generation protein sequencing techniques.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"11 7","pages":"nwae183"},"PeriodicalIF":16.3000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11272068/pdf/","citationCount":"0","resultStr":"{\"title\":\"Amplifiable protein identification via residue-resolved barcoding and composition code counting.\",\"authors\":\"Weiming Guo, Yuan Liu, Yu Han, Huan Tang, Xinyuan Fan, Chu Wang, Peng R Chen\",\"doi\":\"10.1093/nsr/nwae183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Ultrasensitive protein identification is of paramount importance in basic research and clinical diagnostics but remains extremely challenging. 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引用次数: 0
摘要
超灵敏蛋白质鉴定在基础研究和临床诊断中至关重要,但仍然极具挑战性。阻碍单分子蛋白质测序的一个关键瓶颈是,与依赖聚合酶链反应(PCR)扩增 DNA 和 RNA 分子的革命性核酸测序方法不同,蛋白质分子无法直接扩增。因此,通过扩增某些指纹而不是完整的蛋白质序列来解码蛋白质是解决这一艰巨挑战的另一种有吸引力的选择。在此,我们报告了一种概念验证方法,该方法依赖于残留解析 DNA 条形码和组成代码计数,用于可扩增蛋白质指纹(AmproCode)。在 AmproCode 中,肽或蛋白质上的选择性残基类型被化学标记为 DNA 条形码,可通过定量 PCR 进行扩增和量化。该操作会生成一个相对比率,作为每个目标蛋白质的残基解析 "组成代码",该代码可用作指纹,从蛋白质组数据库中确定其身份。我们开发了一种数据库搜索算法,并应用该算法通过计算模拟评估了整个蛋白质组和分泌组的覆盖范围,证明了 AmproCode 在理论上的可行性。然后,我们设计了残基特异性 DNA 条形码和扩增工作流程,并鉴定了分泌组中低至 fmol/L 水平的不同合成模型肽,以进行演示。这些成果为前所未有的可扩增蛋白质指纹识别方法奠定了基础。我们相信,在未来,AmproCode 最终可以实现对痕量复杂样本的单分子可扩增鉴定,而无需进一步纯化,它可能会为下一代蛋白质测序技术的发展开辟一条新途径。
Amplifiable protein identification via residue-resolved barcoding and composition code counting.
Ultrasensitive protein identification is of paramount importance in basic research and clinical diagnostics but remains extremely challenging. A key bottleneck in preventing single-molecule protein sequencing is that, unlike the revolutionary nucleic acid sequencing methods that rely on the polymerase chain reaction (PCR) to amplify DNA and RNA molecules, protein molecules cannot be directly amplified. Decoding the proteins via amplification of certain fingerprints rather than the intact protein sequence thus represents an appealing alternative choice to address this formidable challenge. Herein, we report a proof-of-concept method that relies on residue-resolved DNA barcoding and composition code counting for amplifiable protein fingerprinting (AmproCode). In AmproCode, selective types of residues on peptides or proteins are chemically labeled with a DNA barcode, which can be amplified and quantified via quantitative PCR. The operation generates a relative ratio as the residue-resolved 'composition code' for each target protein that can be utilized as the fingerprint to determine its identity from the proteome database. We developed a database searching algorithm and applied it to assess the coverage of the whole proteome and secretome via computational simulations, proving the theoretical feasibility of AmproCode. We then designed the residue-specific DNA barcoding and amplification workflow, and identified different synthetic model peptides found in the secretome at as low as the fmol/L level for demonstration. These results build the foundation for an unprecedented amplifiable protein fingerprinting method. We believe that, in the future, AmproCode could ultimately realize single-molecule amplifiable identification of trace complex samples without further purification, and it may open a new avenue in the development of next-generation protein sequencing techniques.
期刊介绍:
National Science Review (NSR; ISSN abbreviation: Natl. Sci. Rev.) is an English-language peer-reviewed multidisciplinary open-access scientific journal published by Oxford University Press under the auspices of the Chinese Academy of Sciences.According to Journal Citation Reports, its 2021 impact factor was 23.178.
National Science Review publishes both review articles and perspectives as well as original research in the form of brief communications and research articles.