优选TMT:针对有限样本的优化和缩小的TMT标签策略
Michele Martins1, Fábio César Sousa Nogueira1, Magno Junqueira1
1Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Journal of proteomics
|November 29, 2025
概括
我们优化了Tandem质量标签 (TMT) 标签,以显著降低试剂成本和质谱蛋白质组学样本需求. 这种具有成本效益的方法保持了高的标签效率,使先进的蛋白质组分析可用于有限的样本研究.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 基于质谱的蛋白质组学能够进行敏感的分析,但依赖于昂贵的同位体标签试剂,如Tandem Mass Tag (TMT).
- 目前的TMT协议是为大量样本设计的,这限制了它们在稀缺生物材料的研究中的应用,并增加了研究费用.
研究的目的:
- 开发一个优化的等离子标签协议 (Opt-TMT),大大降低试剂消耗和样品输入要求.
- 与商业TMT协议相比,保持高标签效率 (>99%),同时降低成本高达90%.
主要方法:
- 优化反应条件,包括减少反应体积和增加度,用于提高低量 (6-15μg/通道) 的标签效率.
- 优化协议 (Opt-TMT) 在标签效率和成本效益方面得到了验证.
主要成果:
- 即使在最小的量 (6-15μg/通道) 中,也实现了超过99%的一致标签效率.
- 与商业标准TMT协议相比,试剂成本降低了高达90%.
- 证明了该协议适用于有限的样本数量及其成本效益.
结论:
- Opt-TMT协议为基于质谱的蛋白质组学中的等离体标签提供了一个具有成本效益和可扩展的解决方案.
- 这种方法使得在使用有限的生物材料,如患者样本或PTM分析等研究中能够获得高质量的定量蛋白质组学.
- 对于资源有限的实验室来说,Opt-TMT扩大了对TMT工作流的访问,而不会影响分析质量.
相关概念视频
Choosing Between z and t Distribution
The z and the Student t distribution estimate the population mean using the sample mean and standard deviation. However, to decide which distribution to use for a calculation, one needs to determine the sample size, the nature of the distribution, and whether the population standard deviation is known. If the population standard deviation is known and the population is normally distributed, or if the sample size is greater than 30, the z distribution is preferred. The Student t distribution is...
Multiple Comparison Tests
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Tandem Mass Spectrometry
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
Therapeutic Drug Monitoring: Overview and Classification
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
Therapeutic Drug Monitoring: Drug Analysis Methods
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...


