Literature DB >> 28664268

Biased selection of propagation-related TUPs from phage display peptide libraries.

Hesam Motaleb Zade1, Reihaneh Keshavarz2, Hosna Sadat Zahed Shekarabi1, Babak Bakhshinejad3.   

Abstract

Phage display is rapidly advancing as a screening strategy in drug discovery and drug delivery. Phage-encoded combinatorial peptide libraries can be screened through the affinity selection procedure of biopanning to find pharmaceutically relevant cell-specific ligands. However, the unwanted enrichment of target-unrelated peptides (TUPs) with no true affinity for the target presents an important barrier to the successful screening of phage display libraries. Propagation-related TUPs (Pr-TUPs) are an emerging but less-studied category of phage display-derived false-positive hits that are displayed on the surface of clones with faster propagation rates. Despite long regarded as an unbiased selection system, accumulating evidence suggests that biopanning may create biological bias toward selection of phage clones with certain displayed peptides. This bias can be dependent on or independent of the displayed sequence and may act as a major driving force for the isolation of fast-growing clones. Sequence-dependent bias is reflected by censorship or over-representation of some amino acids in the displayed peptide and sequence-independent bias is derived from either point mutations or rare recombination events occurring in the phage genome. It is of utmost interest to clean biopanning data by identifying and removing Pr-TUPs. Experimental and bioinformatic approaches can be exploited for Pr-TUP discovery. With no doubt, obtaining deeper insight into how Pr-TUPs emerge during biopanning and how they could be detected provides a basis for using cell-targeting peptides isolated from phage display screening in the development of disease-specific diagnostic and therapeutic platforms.

Keywords:  Biological bias; Combinatorial library; Peptide phage display; Propagation-related TUP; Targeting

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Year:  2017        PMID: 28664268     DOI: 10.1007/s00726-017-2452-z

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  4 in total

1.  TUPDB: Target-Unrelated Peptide Data Bank.

Authors:  Bifang He; Shanshan Yang; Jinjin Long; Xue Chen; Qianyue Zhang; Hui Gao; Heng Chen; Jian Huang
Journal:  Interdiscip Sci       Date:  2021-05-16       Impact factor: 2.233

Review 2.  Directing evolution of novel ligands by mRNA display.

Authors:  Golnaz Kamalinia; Brian J Grindel; Terry T Takahashi; Steven W Millward; Richard W Roberts
Journal:  Chem Soc Rev       Date:  2021-06-24       Impact factor: 60.615

3.  Expanding the Chemical Diversity of Genetically Encoded Libraries.

Authors:  Sabrina E Iskandar; Victoria A Haberman; Albert A Bowers
Journal:  ACS Comb Sci       Date:  2020-11-09       Impact factor: 3.903

4.  Rational identification and characterisation of peptide ligands for targeting polysialic acid.

Authors:  Divya G Shastry; Flaviyan Jerome Irudayanathan; Asher Williams; Mattheos Koffas; Robert J Linhardt; Shikha Nangia; Pankaj Karande
Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

  4 in total

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