The Delivery of Mimic miRNA-7 into Glioblastoma Cells and Tumour Tissue by Graphene Oxide Nanosystems

Marta Kutwin,1 Malwina Sosnowska-Ławnicka,1 Barbara Nasiłowska,2 Agata Lange,1 Mateusz Wierzbicki,1 Sławomir Jaworski1 1Department of Nanobiotechnology, Institute of Biology, Warsaw University of Life Sciences, Warsaw, Poland; 2Institute of Optoelectronics, Military University of Technology, Warsaw, PolandCorrespondence: Marta Kutwin, Email [email protected]: The use of nanotechnology in medicine has gained attention in developing drug delivery systems. GO has the potential to deliver microRNA (miRNA) mimics or antisense structures. MiRNAs regulate gene expression and their dysregulation is implicated in diseases, including cancer. This study aims to observe changes in morphology, viability, mRNA expression of mTOR/PI3K/Akt and PTEN genes in U87, U118, U251, A172 and T98 glioblastoma cells and xenograft models after GO self-assembly with mimic miRNA-7.Methods: Colloidal suspension of graphene oxide (GO) was used for obtaining the GO-mimic miRNA-7 nanosystems by self-assembly method. The ultrastructure, size distribution and ATR-FTIR and UV-Vis spectrum were analyzed. The Zeta potential was measured to verify the stability of obtained nanosystem. The entrapment efficiency, loading capacity and released kinetics of mimic miRNA-7 form GO-mimic miRNA-7 nanosystems were analyzed. The transfection efficiency into the glioblastoma cell lines U87, U118, U251, A172 and T98 of mimic miRNA-7 delivered by GO nanosystems was measure by confocal microscopy and flow cytometry. The changes at mRNA expression level of mTOR, PI3K, AKT1 and PTEN genes was measured by qPCR analysis. The xenograft model of U87 and A172 tumour tissue was performed to analyze the effect at tumor size and volume after GO- mimic miRNA-7 nanosystem administration.Results: The ultrastructure of GO-mimic miRNA-7 nanosystems showed high affinity of mimic miRNA into the GO. The results of transfection efficiency, cell morphology and viability showed that GO -miRNA-7 effectively deliver mimics miRNA-7 into U87, U118, U251, A172 and T98 glioblastoma cells. This approach can reverse miRNA-7 expression’s downstream effects and target the mTOR PI3K/Akt pathway observed at gene expression level, reducing xenograft tumour size and volume.Conclusion: The findings of the study could have significant implications for the development of advanced and precise GO based nanosystems specifically designed for miRNA therapy in cancer treatment.Keywords: GO, micro-RNA, cancer, mTOR/PI3K/Akt

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
Primary Topic
Graphene and Nanomaterials Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Delivery of Mimic miRNA-7 into Glioblastoma Cells and Tumour Tissue by Graphene Oxide Nanosystems

SHILAP Revista de lepidopterología
Graphene and Nanomaterials Applications
article

The Delivery of Mimic miRNA-7 into Glioblastoma Cells and Tumour Tissue by Graphene Oxide Nanosystems

article en

Abstract

Marta Kutwin,1 Malwina Sosnowska-Ławnicka,1 Barbara Nasiłowska,2 Agata Lange,1 Mateusz Wierzbicki,1 Sławomir Jaworski1 1Department of Nanobiotechnology, Institute of Biology, Warsaw University of Life Sciences, Warsaw, Poland; 2Institute of Optoelectronics, Military University of Technology, Warsaw, PolandCorrespondence: Marta Kutwin, Email [email protected]: The use of nanotechnology in medicine has gained attention in developing drug delivery systems. GO has the potential to deliver microRNA (miRNA) mimics or antisense structures. MiRNAs regulate gene expression and their dysregulation is implicated in diseases, including cancer. This study aims to observe changes in morphology, viability, mRNA expression of mTOR/PI3K/Akt and PTEN genes in U87, U118, U251, A172 and T98 glioblastoma cells and xenograft models after GO self-assembly with mimic miRNA-7.Methods: Colloidal suspension of graphene oxide (GO) was used for obtaining the GO-mimic miRNA-7 nanosystems by self-assembly method. The ultrastructure, size distribution and ATR-FTIR and UV-Vis spectrum were analyzed. The Zeta potential was measured to verify the stability of obtained nanosystem. The entrapment efficiency, loading capacity and released kinetics of mimic miRNA-7 form GO-mimic miRNA-7 nanosystems were analyzed. The transfection efficiency into the glioblastoma cell lines U87, U118, U251, A172 and T98 of mimic miRNA-7 delivered by GO nanosystems was measure by confocal microscopy and flow cytometry. The changes at mRNA expression level of mTOR, PI3K, AKT1 and PTEN genes was measured by qPCR analysis. The xenograft model of U87 and A172 tumour tissue was performed to analyze the effect at tumor size and volume after GO- mimic miRNA-7 nanosystem administration.Results: The ultrastructure of GO-mimic miRNA-7 nanosystems showed high affinity of mimic miRNA into the GO. The results of transfection efficiency, cell morphology and viability showed that GO -miRNA-7 effectively deliver mimics miRNA-7 into U87, U118, U251, A172 and T98 glioblastoma cells. This approach can reverse miRNA-7 expression’s downstream effects and target the mTOR PI3K/Akt pathway observed at gene expression level, reducing xenograft tumour size and volume.Conclusion: The findings of the study could have significant implications for the development of advanced and precise GO based nanosystems specifically designed for miRNA therapy in cancer treatment.Keywords: GO, micro-RNA, cancer, mTOR/PI3K/Akt

SHILAP Revista de lepidopterología
Openalex Percentile: Top 63%
Graphene and Nanomaterials Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.