#Res mass tagger plus

The addition of the TMT11-131C tag enables. The TMT11-131C tag structure is identical to the other TMT10pex tags, but the TMT11-131C mass reporter is labeled with only 13C isotopes.

#Res mass tagger plus

A34807, A37724) or as part of this TMT10plex Isobaric Label Reagent Set plus TMT11-131C. Tandem mass tag (TMT) reagents are specially designed to enable identification and quantitation of proteins in different samples using tandem mass spectrometry. TMT11-131C is available as a standalone tag (Cat. All mass tagging reagents within a set have the same nominal mass (i.e. The Tandem Mass Tag (TMT) Isobaric Label reagents and kits are specifically designed to enable. Mass spectrometric immunoassay (MSIA) combines the advantages of immunoassay with mass spectrometry (MS) detection, which offers excellent specificity and sensitivity in bioanalysis and attracts more and more research attentions. Compatible-optimized for use with high resolution Thermo Scientific Orbirtrap MS/MS platforms, with data analysis fully supported by Proteome Discoverer 2.3 For each sample, a unique reporter mass (i.e., TMT10 126-131 Da) in the low-mass region of the high-resolution MS/MS spectrum is used to measure relative protein expression levels during peptide fragmentation and tandem mass spectrometry.

Efficient-amine-reactive, NHS-ester-activated reagents ensure efficient labeling of all peptides regardless of protein sequence or proteolytic enzyme specificity.Robust-increased multiplex capability results in fewer missing quantitative values among samples and higher confidence among replicates.Multiplex-concurrent MS analysis of up to 11 samples derived from cells, tissues, or biological fluids.TMT10plex label reagents plus TMT11-131C is ideal for analysis of multiple protein samples from inhibitor dose response experiments, time course experiments, or to improve statistics on biological replicates.įeatures of this TMT11-131C Label Reagent include: The advantages of TMT label reagents include increased multiplexed relative quantitation, increased sample throughput, and fewer missing quantitative values among samples.