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In-silico design of peptide-based transfection systems, in-vitro validation, and up-take pathways investigation
Stockholm University, Faculty of Science, Department of Neurochemistry.ORCID iD: 0000-0002-6189-3020
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Cell-penetrating peptide-based transfection systems (PBTS) are a promising group of drug delivery vectors. Cell-penetrating peptides (CPPs) are short cationic peptides that are able of transporting cell non-permeant cargos into different cell types. Some CPPs can be used to form non-covalent complexes with oligonucleotides for gene delivery applications. For the potential use of CPPs as drug delivery tools, it is important to understand the mechanism of uptake. Here, a fragment quantitative structure–activity relationships (FQSAR) model is generated to predict novel peptides based on approved alpha helical conformers and assisted model construction with energy refinement molecular mechanics simulations of former peptides. The modeled peptides were examined for plasmid transfection efficiency and compared with their predicted biological activity. The best predicted peptides were efficient for plasmid transfection with significant enhancement compared to the former group of peptides. Our results confirm that FQSAR model refinement is an efficient method for optimizing PBTS for improved biological activity. Additionally, using RNA sequencing, we demonstrated the involvement of autophagy pathways in PBTS uptake.

Place, publisher, year, edition, pages
Stockholm: Department of Neurochemistry, Stockholm University , 2017. , p. 50
Keywords [en]
Cell-penetrating peptides, QSAR, PepFect
National Category
Chemical Sciences Biochemistry Molecular Biology
Research subject
Neurochemistry with Molecular Neurobiology
Identifiers
URN: urn:nbn:se:su:diva-140139OAI: oai:DiVA.org:su-140139DiVA, id: diva2:1077720
Presentation
2017-03-15, Heilbronnsalen, C458, Svante Arrhenius väg 16B, Stockholm, 14:00 (English)
Opponent
Supervisors
Available from: 2017-02-28 Created: 2017-02-28 Last updated: 2025-02-20
List of papers
1. Refinement of a Quantitative Structure–Activity Relationship Model for Prediction of Cell-Penetrating Peptide Based Transfection Systems
Open this publication in new window or tab >>Refinement of a Quantitative Structure–Activity Relationship Model for Prediction of Cell-Penetrating Peptide Based Transfection Systems
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2017 (English)In: International Journal of Peptide Research and Therapeutics, E-ISSN 1573-3904, Vol. 23, no 1, p. 91-100Article in journal (Refereed) Published
Abstract [en]

Cell-penetrating peptide (CPP) based transfection systems (PBTS) are a promising class of drug delivery vectors. CPPs are short mainly cationic peptides capable of delivering cell non-permeant cargo to the interior of the cell. Some CPPs have the ability to form non-covalent complexes with oligonucleotides for gene therapy applications. In this study, we use quantitative structure–activity relationships (QSAR), a statistical method based on regression data analysis. Here, a fragment QSAR (FQSAR) model is developed to predict new peptides based on standard alpha helical conformers and Assisted Model Building with Energy Refinement molecular mechanics simulations of previous peptides. These new peptides were examined for plasmid transfection efficiency and compared with their predicted biological activity. The best predicted peptides were capable of achieving plasmid transfection with significant improvement compared to the previous generation of peptides. Our results demonstrate that FQSAR model refinement is an efficient method for optimizing PBTS for improved biological activity.

Keywords
CPP, PBTS, QSAR, AMBER, Peptide based transfection systems, Cell penetrating peptides, fragmentatio
National Category
Chemical Sciences Biochemistry Molecular Biology
Research subject
Neurochemistry with Molecular Neurobiology
Identifiers
urn:nbn:se:su:diva-140132 (URN)10.1007/s10989-016-9542-8 (DOI)000393954000009 ()
Funder
Swedish Research Council, 115363EU, FP7, Seventh Framework Programme
Available from: 2017-02-28 Created: 2017-02-28 Last updated: 2025-02-20Bibliographically approved
2. Role of autophagy in cell-penetrating peptide transfection model
Open this publication in new window or tab >>Role of autophagy in cell-penetrating peptide transfection model
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2017 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 7, article id 12635Article in journal (Refereed) Published
Abstract [en]

Cell-penetrating peptides (CPPs) uptake mechanism is still in need of more clarification to have a better understanding of their action in the mediation of oligonucleotide transfection. In this study, the effect on early events (1 h treatment) in transfection by PepFect14 (PF14), with or without oligonucleotide cargo on gene expression, in HeLa cells, have been investigated. The RNA expression profile was characterized by RNA sequencing and confirmed by qPCR analysis. The gene regulations were then related to the biological processes by the study of signaling pathways that showed the induction of autophagy-related genes in early transfection. A ligand library interfering with the detected intracellular pathways showed concentration-dependent effects on the transfection efficiency of splice correction oligonucleotide complexed with PepFect14, proving that the autophagy process is induced upon the uptake of complexes. Finally, the autophagy induction and colocalization with autophagosomes have been confirmed by confocal microscopy and transmission electron microscopy. We conclude that autophagy, an inherent cellular response process, is triggered by the cellular uptake of CPP-based transfection system. This finding opens novel possibilities to use autophagy modifiers in future gene therapy.

National Category
Biological Sciences
Research subject
Neurochemistry with Molecular Neurobiology
Identifiers
urn:nbn:se:su:diva-147911 (URN)10.1038/s41598-017-12747-z (DOI)000412138800071 ()28974718 (PubMedID)
Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2022-09-15Bibliographically approved

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