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Phage display screenings are frequently employed to identify high-affinity peptides or antibodies. Although successful, phage display is a laborious technology and is notorious for identification of false positive hits. To accelerate and improve the selection process, we have employed Illumina next generation sequencing to deeply characterize the Ph.D.-7 M13 peptide phage display library before and after several rounds of biopanning on KS483 osteoblast cells. Sequencing of the naive library after one round of amplification in bacteria identifies propagation advantage as an important source of false positive hits. Most important, our data show that deep sequencing of the phage pool after a first round of biopanning is already sufficient to identify positive phages. Whereas traditional sequencing of a limited number of clones after one or two rounds of selection is uninformative, the required additional rounds of biopanning are associated with the risk of losing promising clones propagating slower than nonbinding phages. Confocal and live cell imaging confirms that our screen successfully selected a peptide with very high binding and uptake in osteoblasts. We conclude that next generation sequencing can significantly empower phage display screenings by accelerating the finding of specific binders and restraining the number of false positive hits. © 2011 Elsevier Inc. All rights reserved.
| EMTREE medical terms: | animal cellarticlebinding affinitybiopanninggene amplificationmolecular cloningmolecular imagingnonhumanosteoblastpeptide libraryphage displaypriority journalsequence analysis |
|---|---|
| MeSH: | AnimalsBacteriophage M13Cell LineHigh-Throughput Nucleotide SequencingMicePeptide Library |
Peptide Library
| Funding number | Funding sponsor | Acronym | Funding opportunities |
|---|---|---|---|
| IGE7001 | Institute of Physics | IOP | See opportunities by IOP |
| Ministry of Economic Affairs | MOEA | ||
| Leids Universitair Medisch Centrum | LUMC | ||
| Commonwealth Scientific and Industrial Research Organisation | CSIRO | See opportunities by CSIRO | |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | NWO |
This research was supported by a grant from the Dutch Ministry of Economic Affairs (IOP–Genomics grant IGE7001 ), the Centre for Medical Systems Biology within the framework of the Netherlands Genomics Initiative (NGI)/Netherlands Organisation for Scientific Research (NWO) , and the Center for Biomedical Genetics . We thank Annelies Boonzaier-van der Laan (Department of Molecular and Cellular Biology, Leiden University Medical Center) for microscopy assistance; Ineke Oudshoorn (Department of Endocrinology, Leiden University Medical Center), Karien de Rooij (Department of Endocrinology, Leiden University Medical Center, and Percuros), and David. de Gorter (Department of Molecular and Cellular Biology, Leiden University Medical Center) for assistance with cell culturing; and Rinse Klooster (Department of Molecular and Cellular Biology, Leiden University Medical Center) for comments on the manuscript. Appendix A
'T Hoen, P.A.C.; Center for Human and Clinical Genetics, Leiden Genome Technology Center, Leiden University Medical Center, Netherlands;
© Copyright 2012 Elsevier B.V., All rights reserved.
© MEDLINE® is the source for the MeSH terms of this document.