five

mTMT: An alternative, non-isobaric, tandem mass tag allowing for precursor-based quantification

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.omicsdi.org/dataset/pride/PXD014545
下载链接
链接失效反馈
官方服务:
资源简介:
Stable isotope labeling of peptides is the basis for numerous mass spectrometry-based quantification strategies. Isobaric tagging and metabolic labeling, namely TMT and SILAC, are among the most widely used techniques for relative protein quantification. Here we report an alternative, precursor-based quantification method using non-isobaric TMT variants: TMT0 (TMTzero) and shTMT (super-heavy TMT). We term this strategy mTMT (mass difference tandem mass tagging), as these TMT variants differ by 11 mass units; yet, peptides labeled with these reagents co-elute, analogous to SILAC-labeled sample analysis. As proof-of-concept, we profiled the proteomes of two cell lines that are frequently used in neuroscience studies, SH-SY5Y and SVGp12, using mTMT and standard SILAC-labeling approaches. We show similar numbers of quantified proteins and peptides using each method with highly correlated fold changes between workflows. We conclude that mTMT is a suitable alternative for precursor-based protein quantification.
创建时间:
2019-09-16
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作