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      A microfluidic approach for sequential assembly of siRNA polyplexes with a defined structure-activity relationship

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          Abstract

          Therapeutic nucleic acids provide versatile treatment options for hereditary or acquired diseases. Ionic complexes with basic polymers are frequently used to facilitate nucleic acid’s transport to intracellular target sites. Usually, these polyplexes are prepared manually by mixing two components: polyanionic nucleic acids and polycations. However, parameters such as internal structure, size, polydispersity and surface charge of the complexes sensitively affect pharmaceutical efficiency. Hence a controlled assembly is of paramount importance in order to ensure high product quality. In the current study, we present a microfluidic platform for controlled, sequential formulation of polyplexes. We use oligo-amidoamines (termed “oligomers”) with precise molecular weight and defined structure due to their solid phase supported synthesis. The assembly of the polyplexes was performed in a microfluidic chip in two steps employing a design of two successive Y junctions: first, siRNA and core oligomers were assembled into core polyplexes. These core oligomers possess compacting, stabilizing, and endosomal escape mediating motifs. Second, new functional motifs were mixed to the core particles and integrated into the core polyplex. The iterative assembly formed multi-component polyplexes in a highly controlled manner and enabled us to investigate structure-function relationships. We chose nanoparticle shielding polyethylene glycol (PEG) and cell targeting folic acid (termed “PEG-ligands”) as functional components. The PEG-ligands were coupled to lipid anchor oligomers via strain promoted azide—alkyne click chemistry. The lipid anchors feature four cholanic acids for inserting various PEG-ligands into the core polyplex by non-covalent hydrophobic interactions. These core—lipid anchor—PEG-ligand polyplexes containing folate as cell binding ligand were used to determine the optimal PEG-ligand length for transfecting folate receptor-expressing KB cells in vitro. We found that polyplexes with 20 mol % PEG-ligands (relative to n core oligomer) showed optimal siRNA mediated gene knock-down when containing defined PEG domains of in sum 24 and 36 ethylene oxide repetitions, 12 EOs each from the lipid anchor and 12 or 24 EOs from the PEG-ligand, respectively. These results confirm that transfection efficiency depends on the linker length and stoichiometry and are consistent with previous findings using core—PEG-ligand polyplexes formed by click modification of azide-containing core polyplexes with aforementioned PEG-ligands. Hence, successive microfluidic assembly might be a potentially powerful route to create defined multi-component polyplexes with reduced batch-to-batch variability.

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          Most cited references41

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          Analysis of nanoparticle delivery to tumours

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            Molecularly Self-Assembled Nucleic Acid Nanoparticles for Targeted In Vivo siRNA Delivery

            Nanoparticles are employed for delivering therapeutics into cells 1,2 . However, size, shape, surface chemistry and the presentation of targeting ligands on the surface of nanoparticles can affect circulation half-life and biodistribution, cell specific internalization, excretion, toxicity, and efficacy 3-7 . A variety of materials have been explored for delivering small interfering RNAs (siRNAs) - a therapeutic agent that suppresses the expression of targeted genes 8,9 . However, conventional delivery nanoparticles such as liposomes and polymeric systems are heterogeneous in size, composition and surface chemistry, and this can lead to suboptimal performance, lack of tissue specificity and potential toxicity 10-12 . Here, we show that self-assembled DNA tetrahedral nanoparticles with a well-defined size can deliver siRNAs into cells and silence target genes in tumours. Monodisperse nanoparticles are prepared through the self-assembly of complementary DNA strands. Because the DNA strands are easily programmable, the size of the nanoparticles and the spatial orientation and density of cancer targeting ligands (such as peptides and folate) on the nanoparticle surface can be precisely controlled. We show that at least three folate molecules per nanoparticle is required for optimal delivery of the siRNAs into cells and, gene silencing occurs only when the ligands are in the appropriate spatial orientation. In vivo, these nanoparticles showed a longer blood circulation time (t1/2 ∼ 24.2 min) than the parent siRNA (t1/2 ∼ 6 min).
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              Droplet based microfluidics.

              Droplet based microfluidics is a rapidly growing interdisciplinary field of research combining soft matter physics, biochemistry and microsystems engineering. Its applications range from fast analytical systems or the synthesis of advanced materials to protein crystallization and biological assays for living cells. Precise control of droplet volumes and reliable manipulation of individual droplets such as coalescence, mixing of their contents, and sorting in combination with fast analysis tools allow us to perform chemical reactions inside the droplets under defined conditions. In this paper, we will review available drop generation and manipulation techniques. The main focus of this review is not to be comprehensive and explain all techniques in great detail but to identify and shed light on similarities and underlying physical principles. Since geometry and wetting properties of the microfluidic channels are crucial factors for droplet generation, we also briefly describe typical device fabrication methods in droplet based microfluidics. Examples of applications and reaction schemes which rely on the discussed manipulation techniques are also presented, such as the fabrication of special materials and biophysical experiments.
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                Author and article information

                Journal
                PeerJ Materials Science
                PeerJ
                2019
                October 15 2019
                : 1
                : e1
                Affiliations
                [1 ]Department of Pharmacy, Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany
                [2 ]Faculty of Physics, Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany
                [3 ]Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany
                Article
                10.7717/peerj-matsci.1
                ae69cbb8-c08e-4b8b-bc12-e769a116bdc6
                © 2019

                https://creativecommons.org/licenses/by/4.0/

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