Rapid Discovery of Death Ligands with One-Bead-Two-Compound Combinatorial Library Methods

The one-bead-one-compound (OBOC) technology enables one to generate thousands to millions of chemical molecules on resin beads (90 μm diameter) such that each bead displays 1013 copies of the same chemical entity. Whole-cell binding assays have been developed to screen OBOC combinatorial libraries for ligands that bind to specific cell surface receptors. While very powerful, this screening method does not address the downstream cell signaling properties of the binding ligand. We have modified the OBOC technology by introducing a fixed known cell adhesion ligand to the outer layer of each bead. This one-bead-two-compound (OB2C) library configuration allows the bound cells to interact with the random immobilized chemical molecules on each bead. The bound cells can then be probed for specific cellular responses such as apoptosis and activation or inhibition of a specific cell signaling pathway. To validate this concept, an OB2C combinatorial library was created such that a random hexapeptide plus a high affinity lymphoma targeting ligand LLP2A were displayed on each bead. This LLP2A-X6 OB2C library was then screened with human T-cell leukemia cells (Molt-4) for cell death responses. After 5 days of incubation, propidium iodide was added to the bead library to stain dead cells. Beads coated by red fluorescent cells were isolated for sequence analysis. Two ligands identified by this method, when added to the lymphoid cancer cells, were able to induce cell death

Differentiation of Cancer Cell Origin and Molecular Subtype by Plasma Membrane N‑Glycan Profiling

In clinical settings, biopsies are routinely used to determine cancer type and grade based on tumor cell morphology, as determined via histochemical or immunohistochemical staining. Unfortunately, in a significant number of cases, traditional biopsy results are either inconclusive or do not provide full subtype differentiation, possibly leading to inefficient or ineffective treatment. Glycomic profiling of the cell membrane offers an alternate route toward cancer diagnosis. In this study, isomer-sensitive nano-LC/MS was used to directly obtain detailed profiles of the different N-glycan structures present on cancer cell membranes. Membrane N-glycans were extracted from cells representing various subtypes of breast, lung, cervical, ovarian, and lymphatic cancer. Chip-based porous graphitized carbon nano-LC/MS was used to separate, identify, and quantify the native N-glycans. Structure-sensitive N-glycan profiling identified hundreds of glycan peaks per cell line, including multiple isomers for most compositions. Hierarchical clusterings based on Pearson correlation coefficients were used to quickly compare and separate each cell line according to originating organ and disease subtype. Based simply on the relative abundances of broad glycan classes (e.g., high mannose, complex/hybrid fucosylated, complex/hybrid sialylated, etc.), most cell lines were readily differentiated. More closely related cell lines were differentiated based on several-fold differences in the abundances of individual glycans. Based on characteristic N-glycan profiles, primary cancer origins and molecular subtypes could be distinguished. These results demonstrate that stark differences in cancer cell membrane glycosylation can be exploited to create an MS-based biopsy, with potential applications toward cancer diagnosis and direction of treatment