Latest App Notes & Case Studies

This application note presents a highly sensitive signature peptide quantification workflow using cutting-edge accurate mass spectrometry technology.

This application note demonstrates how timsTOF and single-cell proteomics (SCP) approaches can be combined to create a robust and sensitive immunopeptidomics workflow.

This app note highlights how a handheld electronic pipette can help researchers save time and increase homogeneous crystal growth.

QC can be performed after data acquisition, but unexpected deviations can waste valuable time and resources. Instead, real-time QC allows for active monitoring of data quality as the analysis is being performed, preventing errors that can compromise the analysis.

Oligonucleotides play a crucial role in modern drug development, therefore their accurate characterization is essential. However, given the sheer complexity and diversity of the types of oligonucleotides that are in clinical development, a range of diverse analytical approaches are necessary.

Mass spectrometry is regarded as the gold standard for protein identification; however, this technique cannot easily discriminate between protein variants and is not accessible to everyday scientists due to the high cost, space and expertise required.

This application focus presents the exciting technology behind advances in DIA and discusses how it can be used to enhance research.

Bile acids are well known for their roles in cholesterol homeostasis, lipid absorption and as metabolic signaling molecules. They are implicated in a variety of disease states and therefore serve as an exciting focus on research in novel biomarker discovery.

Pluripotent stem cells are the gateway to creating cells for disease modeling, regeneration and drug discovery. When it comes to growing such infinite potential, selecting the right culture medium is key!

Identifying novel biomarkers with bottom-up proteomics remains a substantial challenge due to the wide concentration ranges and potentially low abundance of important analytes.