Columns | Column: Focus on Biopharmaceutical Analysis

Comparing manual and automated N-glycan profiling of a trastuzumab biosimilar, researchers found that both workflows detected the same glycan types, but automation gave more reproducible results (mean CV of about 5.7% vs. 7.95%), making it better suited to high-throughput analysis in biopharmaceutical development.

Chromosome telomeres displaying code patterns, genetic visualization. Generated by AI. | Image Credit: © Jiraprot - stock.adobe.com.

In this column, we discuss the label-free and stable isotope labeling proteomics approaches that help in biomarker discovery. We also discuss the different enrichment techniques, such as stable isotope labeling by amino acid in cell culture (SILAC), isobaric tags for relative and absolute quantitation (iTRAQ), and tandem mass tags (TMT, that help in measuring low-abundance protein biomarkers.

Cell membrane structure, Lipid bilayer 3d illustration | Image Credit: © Artur - stock.adobe.com

Characterizing lipid nanoparticles (LNPs) is a developing delivery modality in biotherapeutic analysis. We address some of the current challenges and opportunities in this field, including an examination of the most common tools used to characterize LNPs.

LCGC North America

Advanced separation and mass spectrometry methods enable comprehensive profiling of the inherent glycan heterogeneities of protein therapeutics. In particular, reversed-phase HPLC–based multiattribute methods (MAMs) provide a wealth of information, and other techniques, such as HILIC and CE-MS, also continue to evolve.