Run & Done with GlycoScape™

GlycoScape™

GlycoScape™ is our platform for real-time glycopeptide results in glycobiology.

Immediate Results!

Real-time results = efficiency

GlycoScape™ is efficiency and savings

Real-time results to inform you of current instrument and sample status

Analysis Time
Glycopeptide identification is known to be time-consuming: eliminate this step with immediate result read-outs as soon as data acquisition is complete.
Costs
Instrument time, reagents, and sample preparation are costly. GlycoScape™ with Run & Done will save you money because you are assured that you are producing meaningful data - before your next sample is injected.
Instrument Time
We know, every minute counts for you - with GlycoScape™, you can be assured that your instrument time is spent in the most productive way.
Precious Samples
Save those precious samples! Glycopeptide sample preparation can be time-consuming and costly; GlycoScape™’s smarts will make sure that your precious samples are not wasted.

4D-Glycoproteomics with real-time search results and smart data acquisition

Overcome the data analysis bottlenecks by integrating real-time glycopeptide identification and smart data acquisition provided by GlycoScape™.

Universally available
All current and future timsTOF Pro, timsTOF HTtimsTOF fleX, timsTOF SCP, and timsTOF Ultra platforms are accessible with GlycoScape™. GlycoScape™ is conveniently bundled with Bruker ProteoScape™ at no additional cost.

4D-Glycoproteomics
Even for the large size of CCS-enabled data, real-time glycopeptide identification is a reality with GlycoScape™. GlycoScape™ utilizes the GPU-powered ProLuCID algorithm for peptide identification, combined with our Myriad algorithm for glycan composition.

GlycoScape™ data review
View all aspects of your data with confidence, from the high-level experimental information to specific fragment-ion spectra of interest, using the integrated viewer provided by GlycoScape™.

Smart - Acquisition Control
GlycoScape™ is smart, allowing for user-defined glycopeptide qualifications/parameters, at the end of sample acquisition, to seamlessly guide the progression of your sample queue, while checking suitability and saving precious samples, expensive consumables, and instrument time.

The Myriad workflow – real-time glycopeptide identification

The Myriad workflow was first described by Armony et. al. (https://doi.org/10.3390/ijms24097869). The workflow effectively deconvolutes glycopeptide fragmentation spectra into peptide and glycan moiety spectra using common N-glycan fragments. Each moiety is then identified by a specialized real-time algorithm after which the glycopeptide is “reassembled”. A significant advantage of the Myriad workflow is that it does not require any glycan database(s), enabling the identification of glycans not in the database(s) and minimizes false negatives.

The Myriad workflow can keep up with the rate of glyco-PASEF data acquisition, achieving similar performance as other glycoproteomics software suites, and in line with literature reference data, but producing results on the fly, substantially reducing analysis time requirements.

Hans Wessels, Ph.D., Gad Armony, Ph.D., Dirk Lefeber, Ph.D, Professor, and Alain van Gool, Ph.D., Professor, Radboud University Medical Center in Nijmegen, the Netherlands, developed the Myriad algorithm in collaboration with Bruker under a Public Private Partnership program with Health-Holland (Grant # LSHM21032).  The algorithm has been integrated into GlycoScape™ to provide real-time glycopeptide identification to all timsTOF users.

Our lab aims to decipher the structural heterogeneity of glycosylation in the central nervous system and its alteration in neurological diseases of aging. We utilize mass spectrometry with integrated ion mobility (Bruker’s timsTOF) to investigate how altered glycosylation influences protein structure and function. PASEF data acquisition on the timsTOF provides rich fragmentation spectra for glycopeptides. In combination with GlycoScape, we are able to reliably identify crucial glycopeptides while reducing the time it takes to obtain actionable results. 

Melissa Baerenfaenger, Ph.D., Assistant Professor, Vrije Universiteit Amsterdam, Netherlands