TY - JOUR
T1 - Complex pBAE Nanoparticle Cell Trafficking
T2 - Tracking Both Position and Composition Using Super Resolution Microscopy
AU - Riera, Roger
AU - Tauler, Jana
AU - Feiner-Gracia, Natàlia
AU - Borrós, Salvador
AU - Fornaguera, Cristina
AU - Albertazzi, Lorenzo
N1 - Funding Information:
Financial support from MINECO/FEDER (grant RTI2018‐094734‐B−C22) is acknowledged. The Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) from the Generalitat de Catalunya, for their support trough grant SGR 2017 1559 is acknowledged. L.A. acknowledges financial support from Horizon2020 (ERC‐StG‐757397), and by the NWO through the VIDI Grant 192.028. The authors acknowledge Miguel Ángel Lázaro for his kind support in polymer synthesis.
Funding Information:
Financial support from MINECO/FEDER (grant RTI2018-094734-B−C22) is acknowledged. The Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) from the Generalitat de Catalunya, for their support trough grant SGR 2017 1559 is acknowledged. L.A. acknowledges financial support from Horizon2020 (ERC-StG-757397), and by the NWO through the VIDI Grant 192.028. The authors acknowledge Miguel Ángel Lázaro for his kind support in polymer synthesis.
Publisher Copyright:
© 2022 The Authors. ChemMedChem published by Wiley-VCH GmbH.
PY - 2022/7/5
Y1 - 2022/7/5
N2 - Nanomedicine emerged some decades ago with the hope to be the solution for most unmet medical needs. However, tracking materials at nanoscale is challenging to their reduced size, below the resolution limit of most conventional techniques. In this context, we propose the use of direct stochastic optical reconstruction microscopy (dSTORM) to study time stability and cell trafficking after transfection of oligopeptide end-modified poly(β-aminoester) (OM-pBAE) nanoparticles. We selected different combinations of cationic end oligopeptides (arginine – R; histidine – H; and lysine – K) among polymer libraries, since the oligopeptide combination demonstrated to be useful for different applications, such as vaccination and gene silencing. We demonstrate that their time evolution as well as their cell uptake and trafficking are dependent on the oligopeptide. This study opens the pave to broad mechanistic studies at nanoscale that could enable a rational selection of specific pBAE nanoparticles composition after determining their stability and cell trafficking.
AB - Nanomedicine emerged some decades ago with the hope to be the solution for most unmet medical needs. However, tracking materials at nanoscale is challenging to their reduced size, below the resolution limit of most conventional techniques. In this context, we propose the use of direct stochastic optical reconstruction microscopy (dSTORM) to study time stability and cell trafficking after transfection of oligopeptide end-modified poly(β-aminoester) (OM-pBAE) nanoparticles. We selected different combinations of cationic end oligopeptides (arginine – R; histidine – H; and lysine – K) among polymer libraries, since the oligopeptide combination demonstrated to be useful for different applications, such as vaccination and gene silencing. We demonstrate that their time evolution as well as their cell uptake and trafficking are dependent on the oligopeptide. This study opens the pave to broad mechanistic studies at nanoscale that could enable a rational selection of specific pBAE nanoparticles composition after determining their stability and cell trafficking.
KW - cell trafficking
KW - direct stochastic optical reconstruction microscopy (dSTORM)
KW - nanoparticle stability
KW - poly(β-aminoester) nanoparticles
UR - https://www.scopus.com/pages/publications/85126461858
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_univeritat_ramon_llull&SrcAuth=WosAPI&KeyUT=WOS:000770357500001&DestLinkType=FullRecord&DestApp=WOS_CPL
UR - http://hdl.handle.net/20.500.14342/4453
U2 - 10.1002/cmdc.202100633
DO - 10.1002/cmdc.202100633
M3 - Article
C2 - 35212466
AN - SCOPUS:85126461858
SN - 1860-7179
VL - 17
JO - ChemMedChem
JF - ChemMedChem
IS - 13
M1 - e202100633
ER -
SDG 3 Good Health and Well-being