Literature DB >> 28378995

Combinatorial Library Screening with Liposomes for Discovery of Membrane Active Peptides.

Randy P Carney1, Yann Thillier1, Zsofia Kiss1, Amir Sahabi1, Jean Carlos Heleno Campos1, Alisha Knudson1, Ruiwu Liu1, David Olivos1, Mary Saunders1, Lin Tian1, Kit S Lam1,2.   

Abstract

Membrane active peptides (MAPs) represent a class of short biomolecules that have shown great promise in facilitating intracellular delivery without disrupting cellular plasma membranes. Yet their clinical application has been stalled by numerous factors: off-target delivery, a requirement for high local concentration near cells of interest, degradation en route to the target site, and in the case of cell-penetrating peptides, eventual entrapment in endolysosomal compartments. The current method of deriving MAPs from naturally occurring proteins has restricted the discovery of new peptides that may overcome these limitations. Here, we describe a new branch of assays featuring high-throughput functional screening capable of discovering new peptides with tailored cell uptake and endosomal escape capabilities. The one-bead-one-compound (OBOC) combinatorial method is used to screen libraries containing millions of potential MAPs for binding to synthetic liposomes, which can be adapted to mimic various aspects of limiting membranes. By incorporating unnatural and d-amino acids in the library, in addition to varying buffer conditions and liposome compositions, we have identified several new highly potent MAPs that improve on current standards and introduce motifs that were previously unknown or considered unsuitable. Since small variations in pH and lipid composition can be controlled during screening, peptides discovered using this methodology could aid researchers building drug delivery platforms with unique requirements, such as targeted intracellular localization.

Entities:  

Keywords:  drug delivery platforms; endosomal escape capabilities; high-throughput; liposomes; membrane-active proteins; one-bead-one-compound

Mesh:

Substances:

Year:  2017        PMID: 28378995      PMCID: PMC5901688          DOI: 10.1021/acscombsci.6b00182

Source DB:  PubMed          Journal:  ACS Comb Sci        ISSN: 2156-8944            Impact factor:   3.784


  18 in total

1.  Significance of one-bead-one-compound combinational chemistry.

Authors:  Xiaoyuan Chen; Sanjiv S Gambhir
Journal:  Nat Chem Biol       Date:  2006-07       Impact factor: 15.040

2.  Effects of cargo molecules on the cellular uptake of arginine-rich cell-penetrating peptides.

Authors:  James R Maiolo; Marc Ferrer; Elizabeth A Ottinger
Journal:  Biochim Biophys Acta       Date:  2005-06-30

Review 3.  Nanocarriers' entry into the cell: relevance to drug delivery.

Authors:  Hervé Hillaireau; Patrick Couvreur
Journal:  Cell Mol Life Sci       Date:  2009-06-05       Impact factor: 9.261

4.  Design, synthesis and characterization of a new anionic cell-penetrating peptide: SAP(E).

Authors:  Irene Martín; Meritxell Teixidó; Ernest Giralt
Journal:  Chembiochem       Date:  2011-03-01       Impact factor: 3.164

5.  Identification of inhibitors of melittin using nonsupport-bound combinatorial libraries.

Authors:  S E Blondelle; R A Houghten; E Pérez-Payá
Journal:  J Biol Chem       Date:  1996-02-23       Impact factor: 5.157

6.  The use of one-bead one-compound combinatorial library technology to discover high-affinity αvβ3 integrin and cancer targeting arginine-glycine-aspartic acid ligands with a built-in handle.

Authors:  Wenwu Xiao; Yan Wang; Edmond Y Lau; Juntao Luo; Nianhuan Yao; Changying Shi; Leah Meza; Harry Tseng; Yoshiko Maeda; Pappanaicken Kumaresan; Ruiwu Liu; Felice C Lightstone; Yoshikazu Takada; Kit S Lam
Journal:  Mol Cancer Ther       Date:  2010-09-21       Impact factor: 6.261

7.  Spontaneous membrane-translocating peptides by orthogonal high-throughput screening.

Authors:  Jessica R Marks; Jesse Placone; Kalina Hristova; William C Wimley
Journal:  J Am Chem Soc       Date:  2011-05-19       Impact factor: 15.419

8.  Testing the limits of rational design by engineering pH sensitivity into membrane-active peptides.

Authors:  Gregory Wiedman; William C Wimley; Kalina Hristova
Journal:  Biochim Biophys Acta       Date:  2015-01-05

Review 9.  Membrane lipids: where they are and how they behave.

Authors:  Gerrit van Meer; Dennis R Voelker; Gerald W Feigenson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-02       Impact factor: 94.444

10.  Pathway for polyarginine entry into mammalian cells.

Authors:  Stephen M Fuchs; Ronald T Raines
Journal:  Biochemistry       Date:  2004-03-09       Impact factor: 3.162

View more
  5 in total

1.  Discovery and mechanistic characterization of a structurally-unique membrane active peptide.

Authors:  Shivani Bansal; Wan-Chih Su; Madhu Budamagunta; Wenwu Xiao; Yousif Ajena; Ruiwu Liu; John C Voss; Randy P Carney; Atul N Parikh; Kit S Lam
Journal:  Biochim Biophys Acta Biomembr       Date:  2020-06-18       Impact factor: 3.747

Review 2.  Design of Membrane Active Peptides Considering Multi-Objective Optimization for Biomedical Application.

Authors:  Niels Röckendorf; Christian Nehls; Thomas Gutsmann
Journal:  Membranes (Basel)       Date:  2022-02-02

3.  Tuning of a Membrane-Perforating Antimicrobial Peptide to Selectively Target Membranes of Different Lipid Composition.

Authors:  Charles H Chen; Charles G Starr; Shantanu Guha; William C Wimley; Martin B Ulmschneider; Jakob P Ulmschneider
Journal:  J Membr Biol       Date:  2021-02-10       Impact factor: 1.843

4.  Peptide Combination Generator: a Tool for Generating Peptide Combinations.

Authors:  Naseem Ali; Arzoo Shamoon; Neelesh Yadav; Tanuj Sharma
Journal:  ACS Omega       Date:  2020-03-16

5.  Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers.

Authors:  Michal Avital-Shmilovici; Xiaohe Liu; Thomas Shaler; Andrew Lowenthal; Pauline Bourbon; Janey Snider; Arlyn Tambo-Ong; Claire Repellin; Kenya Yniguez; Lidia Sambucetti; Peter B Madrid; Nathan Collins
Journal:  ACS Cent Sci       Date:  2022-01-11       Impact factor: 14.553

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.