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1.
Biosens Bioelectron ; 21(10): 1867-75, 2006 Apr 15.
Article in English | MEDLINE | ID: mdl-16386888

ABSTRACT

A technical challenge in the development of biosensor devices for cancer detection and diagnosis is the identification of ligands that recognize cancer cells with high affinity and specificity. Furthermore, it is unlikely that one cell-binding ligand will provide sufficient biological information, thus, multiple ligands for a given cancer type will be needed for confident clinical diagnosis. Biopanning of phage displayed peptide libraries is a route to isolation of specific cell-binding reagents. A potential approach towards isolation of multiple ligands for a single cell type is to pan against the same cell type using different peptide libraries. Here we report the synthesis of a new 20-mer peptide-phage library and its use to select a peptide that binds to the large cell lung carcinoma cell line, H1299. The isolated phage clone binds H1299 cells 80 times better than a control phage and can distinguish between H1299 and normal control cells. The phage clone also binds to the lung pleura epidermoid cell line, Calu-1 but not to all lung carcinoma cell lines. The peptide is functional outside the context of the phage and tetramerization of the peptide on a trilysine core improves the affinity of the peptide. The tetrameric peptide can be used to deliver a fluorescent quantum dot to H1299 cells. Unexpectedly, the peptide shares sequence similarity to a previously isolated H1299-binding peptide isolated from a different 20-mer peptide library. Data suggests that the two peptides target the same cellular receptor. Our results imply that cell-based biopanning can isolate cell-binding ligands that may be of utility for cancer diagnosis, and isolation of cell-targeting peptides from different peptide libraries can expand the repertoire of cell-binding reagents.


Subject(s)
Inovirus/chemistry , Inovirus/metabolism , Peptide Library , Amino Acid Sequence , Binding Sites , Cell Line, Tumor , Humans , Ligands , Molecular Sequence Data , Protein Binding
3.
Gene ; 282(1-2): 33-41, 2002 Jan 09.
Article in English | MEDLINE | ID: mdl-11814675

ABSTRACT

We have developed a simple and efficient system (ORF-FINDER) for selecting open reading frames (ORFs) from randomly fragmented genomic DNA fragments. The ORF-FINDER vectors are plasmids that contain a translational start site out of frame with respect to the gene for green fluorescent protein (GFP). Insertion of DNA fragments that bring the initiating ATG in frame with GFP and that contain no stop codons (that is, ORFs) results in the expression of ORF-GFP fusion proteins. In addition, we have developed software (GeneWorks and GenomeAnalyzer) to predict the optimal insert size for maximizing the number of gene-coding ORFs and minimizing unintentionally selected non-coding ORFs. To demonstrate the feasibility of using the ORF-FINDER system to screen genomes for ORFs, we cloned yeast genomic DNA and succeeded in enriching for ORFs by 25-fold. Furthermore, we have shown that the vector can effectively isolate ORFs from the more complex genomes of eukaryotic parasites. We envision that ORF-FINDER will have several applications including genome sequencing projects, gene building from oligonucleotides and construction of expression libraries enriched for ORFs.


Subject(s)
Genetic Vectors/genetics , Open Reading Frames/genetics , Animals , Base Sequence , DNA, Fungal/genetics , DNA, Protozoan/genetics , Gene Expression , Green Fluorescent Proteins , Luminescent Proteins/genetics , Luminescent Proteins/metabolism , Molecular Sequence Data , Neospora/genetics , Recombinant Fusion Proteins/genetics , Recombinant Fusion Proteins/metabolism , Saccharomyces cerevisiae/genetics , Software , Trypanosoma cruzi/genetics
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