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通过基质辅助激光解吸电离飞行时间质谱指纹图谱快速确认抗体身份

Fast Confirmation of Antibody Identity by MALDI-TOF MS Fingerprints.

作者信息

Tscheuschner Georg, Schwaar Timm, Weller Michael G

机构信息

Federal Institute for Materials Research and Testing (BAM), Division 1.5 Protein Analysis, Richard-Willstätter-Strasse 11, 12489 Berlin, Germany.

出版信息

Antibodies (Basel). 2020 Mar 26;9(2):8. doi: 10.3390/antib9020008.

Abstract

Thousands of antibodies for diagnostic and other analytical purposes are on the market. However, it is often difficult to identify duplicates, reagent changes, and to assign the correct original publications to an antibody. This slows down scientific progress and might even be a cause of irreproducible research and a waste of resources. Recently, activities were started to suggest the sole use of recombinant antibodies in combination with the open communication of their sequence. In this case, such uncertainties should be eliminated. Unfortunately, this approach seems to be rather a long-term vision since the development and manufacturing of recombinant antibodies remain quite expensive in the foreseeable future. Nearly all commercial antibody suppliers also may be reluctant to publish the sequence of their antibodies, since they fear counterfeiting. De novo sequencing of antibodies is also not feasible today for a reagent user without access to the hybridoma clone. Nevertheless, it seems to be crucial for any scientist to have the opportunity to identify an antibody undoubtedly to guarantee the traceability of any research activity using antibodies from a third party as a tool. For this purpose, we developed a method for the identification of antibodies based on a MALDI-TOF MS fingerprint. To circumvent lengthy denaturation, reduction, alkylation, and enzymatic digestion steps, the fragmentation was performed with a simple formic acid hydrolysis step. Eighty-nine unknown monoclonal antibodies were used for this study to examine the feasibility of this approach. Although the molecular assignment of peaks was rarely possible, antibodies could be easily recognized in a blinded test, simply from their mass-spectral fingerprint. A general protocol is given, which could be used without any optimization to generate fingerprints for a database. We want to propose that, in most scientific projects relying critically on antibody reagents, such a fingerprint should be established to prove and document the identity of the used antibodies, as well as to assign a specific reagent to a datasheet of a commercial supplier, public database record, or antibody ID.

摘要

市场上有数千种用于诊断和其他分析目的的抗体。然而,通常很难识别重复的抗体、试剂变化,以及为一种抗体确定正确的原始出版物。这减缓了科学进步,甚至可能导致不可重复的研究并造成资源浪费。最近,人们开始采取行动,建议仅使用重组抗体,并公开其序列。在这种情况下,此类不确定性应可消除。不幸的是,这种方法似乎只是一个长期愿景,因为在可预见的未来,重组抗体的开发和生产仍然相当昂贵。几乎所有商业抗体供应商也可能不愿公布其抗体序列,因为他们担心被假冒。对于无法获取杂交瘤克隆的试剂用户来说,如今对抗体进行从头测序也是不可行的。然而,对于任何科学家来说,有机会毫无疑问地识别一种抗体似乎至关重要,以确保使用第三方抗体作为工具的任何研究活动的可追溯性。为此,我们开发了一种基于基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)指纹图谱来识别抗体的方法。为了规避冗长的变性、还原、烷基化和酶解步骤,采用简单的甲酸水解步骤进行片段化。本研究使用了89种未知的单克隆抗体来检验这种方法的可行性。尽管很少能够对峰进行分子归属,但在盲测中,仅从质谱指纹图谱就能轻松识别抗体。给出了一个通用方案,无需任何优化即可用于生成数据库的指纹图谱。我们建议,在大多数严重依赖抗体试剂的科学项目中,应建立这样的指纹图谱,以证明和记录所用抗体的身份,以及将特定试剂与商业供应商的数据表、公共数据库记录或抗体ID进行关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22e2/7362173/21ac198e29b2/antibodies-09-00008-g001.jpg

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