Efficient isolation of cDNA clones encoding rheumatoid arthritis autoantigens by lambda phage surface display

Detection of breast cancer-related antigens through cDNA phage-displayed protein microarray

High-throughput molecular profiling techniques are helpful in the diagnosis of multifactorial disease. In this study, a cDNA-phage-displayed protein microarray using phage particles spotted directly onto it as sensors was used to detect related antigens in breast tumor sera. cDNA sequences from 17 positive clones were determined, which included some sequences encoding known breast cancer-related antigens and proteins related to other diseases, as well as proteins with unknown functions. Our results not only provide some useful information for breast cancer research, but also suggest that the strategy used here would be efficient to search for disease-related proteins and other functional target proteins.

Identification of ADAMTS13 peptide sequences binding to von Willebrand factor

ADAMTS13 cleaves multimeric von Willebrand factor (VWF) to regulate VWF-mediated thrombus formation. To search ADAMTS13 peptide sequences binding to VWF, a lambda-phage library expressing various peptides of ADAMTS13 on the surface was screened using VWF either immobilized or in solution under static condition. By the first screening, peptides sharing the C-terminus of spacer domain from Arg(670) to Gln(684) (epitope-A) were selected. To explore additional sites, peptide sequences from the first screening were synthesized and added to the second screening. Consequently, Pro(618) to Glu(641) (epitope-B) in the middle of spacer domain was obtained from immobilized VWF condition. Synthetic epitope-B peptide inhibited the cleavage of VWF by ADAMTS13, while the synthetic epitope-A peptide did not as efficiently as epitope-B. Elimination of four amino acids from either sides of epitope-B terminus markedly reduced the inhibitory effect. These two sites in the spacer domain may play significant roles in binding to VWF.

Display technologies: application for the discovery of drug and gene delivery agents

Recognition of molecular diversity of cell surface proteomes in disease is essential for the development of targeted therapies. Progress in targeted therapeutics requires establishing effective approaches for high-throughput identification of agents specific for clinically relevant cell surface markers. Over the past decade, a number of platform strategies have been developed to screen polypeptide libraries for ligands targeting receptors selectively expressed in the context of various cell surface proteomes. Streamlined procedures for identification of ligand-receptor pairs that could serve as targets in disease diagnosis, profiling, imaging and therapy have relied on the display technologies, in which polypeptides with desired binding profiles can be serially selected, in a process called biopanning, based on their physical linkage with the encoding nucleic acid. These technologies include virus/phage display, cell display, ribosomal display, mRNA display and covalent DNA display (CDT), with phage display being by far the most utilized. The scope of this review is the recent advancements in the display technologies with a particular emphasis on molecular mapping of cell surface proteomes with peptide phage display. Prospective applications of targeted compounds derived from display libraries in the discovery of targeted drugs and gene therapy vectors are discussed.

Display libraries on bacteriophage lambda capsid

Phage display is an established technology that has been successfully applied, in the last fifteen years, to projects aimed at deciphering biological processes and/or at the isolation of molecules of practical value in several diverse applications. Bacteriophage lambda, representing a molecular cloning and expression tool widely utilized since decades, has also been exploited to develop vectors for the display of libraries on its capsid. In the last few years, lambda display approach has been consistently offering new enthralling perspectives of technological application, such as domain mapping, antigen discovery, and protein interaction studies or, more generally, in functional genomics.