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3D-Bioprinted Aptamer-Functionalized Bio-inks for Spatiotemporally Controlled Growth Factor Delivery

2020· article· en· W3097471624 sur OpenAlexfundno aff
Deepti Rana, Vasileios D. Trikalitis, Vincent R. Rangel, Ajoy Kandar, N. Salehi Nik, Jeroen Rouwkema

Notice bibliographique

RevueUniversity of Twente Research Information · 2020
Typearticle
Langueen
DomaineEngineering
Thématique3D Printing in Biomedical Research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Environmental Health SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesBiotechnology Industry Research Assistance CouncilNIHR Oxford Biomedical Research CentreBiomedical Research CouncilAgencia Estatal de InvestigaciónNational Physical LaboratoryJapan Society for the Promotion of ScienceNational Medical Research CouncilNational Heart, Lung, and Blood InstituteBiotechnology and Biological Sciences Research CouncilMedical Research CouncilHorizon 2020 Framework ProgrammeNational Institutes of HealthEuropean Regional Development FundDutch Arthritis AssociationAdvanced Materials and Bioengineering ResearchAnimal Free Research UKRWTH Aachen UniversityFundação Luso-Americana para o DesenvolvimentoÖterreichisches Exzellenzzentrum für TribologieEngineering and Physical Sciences Research CouncilLeverhulme TrustEuropean CommissionUniversitat Jaume IMinistry of Science and Technology, TaiwanUniversity of SurreyAmt der NÖ LandesregierungEuskal Herriko UnibertsitateaChina Scholarship CouncilMinisterio de Economía y CompetitividadArthritis SocietyDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekFondation pour la Recherche MédicaleParticulate Fluids Processing Centre, University of MelbourneRussian Foundation for Basic ResearchCentro de Investigação em Materiais Cerâmicos e CompósitosAO FoundationNational Institute for Health and Care ResearchCommonwealth Scientific and Industrial Research OrganisationNewcastle UniversityRoyal Academy of EngineeringEusko JaurlaritzaDutch Arthritis SocietyInselspital, Universitätsspital BernMemorial Sloan-Kettering Cancer CenterWellcome TrustCanadian Institutes of Health ResearchUniversity of SouthamptonRussian Science FoundationMinisterio de Ciencia, Innovación y UniversidadesTürkiye Bilimsel ve Teknolojik Araştırma KurumuAgence Nationale de la RechercheAustralian GovernmentAgency for Science, Technology and ResearchLeids Universitair Medisch CentrumScience Foundation IrelandAustralian National Fabrication FacilityImperial College LondonNational Science FoundationCincinnati Children's Hospital Medical CenterCleveland State UniversityRoyal College of Surgeons of EdinburghCampus FranceZonMwFundação para a Ciência e a TecnologiaBill and Melinda Gates FoundationMonash University
Mots-clésAptamerSelf-healing hydrogelsGrowth factorVascular endothelial growth factorNanotechnologyChemistryTissue engineeringNanogelMaterials scienceBioconjugationBiophysicsDrug deliveryBiomedical engineeringBiochemistryBiologyMolecular biologyPolymer chemistryVEGF receptors
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction Spatiotemporally controlled growth factors delivering systems are crucial for tissue engineering. However, most of the current strategies for growth factors delivery often focuses on the immobilization or coupling of growth factors within the engineered matrices (hydrogel) via various linker proteins or peptides. These systems provide passive release rates and growth factor delivery on demand, but fail to adapt their release rates in accordance with the tissue development. To overcome this limitation, the present study employed nucleic acid based aptamers for achieving spatiotemporally controlled growth factor delivery. Aptamers are affinity ligands selected from DNA/RNA libraries to recognize proteins with high affinity and specificity.1 Aptamer based growth factor delivery systems are able to load/release multiple growth factors on demand with high specificity. In the present study, the authors have 3D-bioprinted aptamer-functionalized bio-inks to evaluate their potential for growth factor sequestering, programmable release and for studying their effect on vascular network formation. Methods The aptamer-functionalized hydrogels were prepared via photo-polymerization of gelatin methacryloyl (GelMA) and acrydite functionalized aptamers having sequence specific for binding to vascular endothelial growth factor (VEGF165). Visible light photoinitiator, tris(2,2′-bipyridyl)dichloro-ruthenium(II) hexahydrate with sodium persulfate was used. The 3D-bioprinting experiments were carried out using Rokit Invivo 3D printer. The viscoelastic properties of the bio-inks were evaluated and compared with control GelMA bio-ink. To study the programmable growth factor release efficiency, VEGF antibody immunostaining was used. For studying the effect of triggered growth factor release on vascular network formation, human umbilical vein endothelial cells (HUVECs) and mesenchymal stem cells (MSCs) were encapsulated within the bio-inks. Results & Discussion The results obtained from VEGF antibody immunostainings confirmed the sequestration and triggered release of VEGF in response to complementary sequence addition from the 3D bioprinted construct after 5 days of culture. The bioprinted construct showed high cellular viability. The F-Actin/DAPI staining showed cellular sprouting and vascular network formation within the 3D printing aptamer functionalized bio-ink regions. In addition, the endothelial cells showed variations in cellular organization based on the VEGF bound aptamer availability within the bioprinted construct. These observations altogether confirms the bioactivity of VEGF bound aptamers within the printed constructs. Conclusions The present study shows the vasculogenic potential of 3D bioprinted aptamer-functionalized bio-inks via spatiotemporally controlling VEGF availability within the hydrogel system. Acknowledgements: This work is supported by an ERC Consolidator Grant under grant agreement no 724469. References 1. M.R. Battig, et. al., J. Am. Chem. Soc. 134 (2012) 12410-12413.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,698
Score d'incertitude au seuil0,618

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,269
Écart entre enseignants0,221 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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