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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...

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Autores principales: Ajgaonkar, Ryan, Lee, Bong, Valimukhametova, Alina, Nguyen, Steven, Gonzalez-Rodriguez, Roberto, Coffer, Jeffery, Akkaraju, Giridhar R., Naumov, Anton V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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