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Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots
Early-stage pancreatic cancer remains challenging to detect, leading to a poor five-year patient survival rate. This obstacle necessitates the development of early detection approaches based on novel technologies and materials. In this work, the presence of a specific pancreatic cancer-derived miRNA...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414703/ https://www.ncbi.nlm.nih.gov/pubmed/36013894 http://dx.doi.org/10.3390/ma15165760 |
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author | Ajgaonkar, Ryan Lee, Bong Valimukhametova, Alina Nguyen, Steven Gonzalez-Rodriguez, Roberto Coffer, Jeffery Akkaraju, Giridhar R. Naumov, Anton V. |
author_facet | Ajgaonkar, Ryan Lee, Bong Valimukhametova, Alina Nguyen, Steven Gonzalez-Rodriguez, Roberto Coffer, Jeffery Akkaraju, Giridhar R. Naumov, Anton V. |
author_sort | Ajgaonkar, Ryan |
collection | PubMed |
description | Early-stage pancreatic cancer remains challenging to detect, leading to a poor five-year patient survival rate. This obstacle necessitates the development of early detection approaches based on novel technologies and materials. In this work, the presence of a specific pancreatic cancer-derived miRNA (pre-miR-132) is detected using the fluorescence properties of biocompatible nitrogen-doped graphene quantum dots (NGQDs) synthesized using a bottom-up approach from a single glucosamine precursor. The sensor platform is comprised of slightly positively charged (1.14 [Formula: see text] 0.36 mV) NGQDs bound via [Formula: see text] stacking and/or electrostatic interactions to the negatively charged (−22.4 [Formula: see text] 6.00 mV) bait ssDNA; together, they form a complex with a 20 nm average size. The NGQDs’ fluorescence distinguishes specific single-stranded DNA sequences due to bait–target complementarity, discriminating them from random control sequences with sensitivity in the micromolar range. Furthermore, this targetability can also detect the stem and loop portions of pre-miR-132, adding to the practicality of the biosensor. This non-invasive approach allows cancer-specific miRNA detection to facilitate early diagnosis of various forms of cancer. |
format | Online Article Text |
id | pubmed-9414703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94147032022-08-27 Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots Ajgaonkar, Ryan Lee, Bong Valimukhametova, Alina Nguyen, Steven Gonzalez-Rodriguez, Roberto Coffer, Jeffery Akkaraju, Giridhar R. Naumov, Anton V. Materials (Basel) Article Early-stage pancreatic cancer remains challenging to detect, leading to a poor five-year patient survival rate. This obstacle necessitates the development of early detection approaches based on novel technologies and materials. In this work, the presence of a specific pancreatic cancer-derived miRNA (pre-miR-132) is detected using the fluorescence properties of biocompatible nitrogen-doped graphene quantum dots (NGQDs) synthesized using a bottom-up approach from a single glucosamine precursor. The sensor platform is comprised of slightly positively charged (1.14 [Formula: see text] 0.36 mV) NGQDs bound via [Formula: see text] stacking and/or electrostatic interactions to the negatively charged (−22.4 [Formula: see text] 6.00 mV) bait ssDNA; together, they form a complex with a 20 nm average size. The NGQDs’ fluorescence distinguishes specific single-stranded DNA sequences due to bait–target complementarity, discriminating them from random control sequences with sensitivity in the micromolar range. Furthermore, this targetability can also detect the stem and loop portions of pre-miR-132, adding to the practicality of the biosensor. This non-invasive approach allows cancer-specific miRNA detection to facilitate early diagnosis of various forms of cancer. MDPI 2022-08-20 /pmc/articles/PMC9414703/ /pubmed/36013894 http://dx.doi.org/10.3390/ma15165760 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ajgaonkar, Ryan Lee, Bong Valimukhametova, Alina Nguyen, Steven Gonzalez-Rodriguez, Roberto Coffer, Jeffery Akkaraju, Giridhar R. Naumov, Anton V. Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title | Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title_full | Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title_fullStr | Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title_full_unstemmed | Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title_short | Detection of Pancreatic Cancer miRNA with Biocompatible Nitrogen-Doped Graphene Quantum Dots |
title_sort | detection of pancreatic cancer mirna with biocompatible nitrogen-doped graphene quantum dots |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414703/ https://www.ncbi.nlm.nih.gov/pubmed/36013894 http://dx.doi.org/10.3390/ma15165760 |
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