In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain

Progesterone receptor plays an important role in the progression of breast cancer. Currently, antibody-based Immunohistochemistry is used in pathological assessment of PR levels for the detection of breast cancer. The shortcomings associated with antibodies pave the path to use aptamers as the al...

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Main Author: Tholasi Nadhan, Navien
Format: Thesis
Language:en
Published: 2022
Subjects:
Online Access:http://eprints.usm.my/63775/1/IN%20SILICO%20SELECTION%20AND%20VALIDATION%2024.pdf
http://eprints.usm.my/63775/
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author Tholasi Nadhan, Navien
author_facet Tholasi Nadhan, Navien
author_sort Tholasi Nadhan, Navien
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description Progesterone receptor plays an important role in the progression of breast cancer. Currently, antibody-based Immunohistochemistry is used in pathological assessment of PR levels for the detection of breast cancer. The shortcomings associated with antibodies pave the path to use aptamers as the alternatives. Aptamers are single-stranded DNA or RNA oligonucleotides generated by SELEX that are capable of binding to their cognate target molecules with high affinity and specificity based on their unique structural folding capacity.The tediousness and rigor associated with certain steps of the conventional SELEX intensify the efforts to select DNA aptamers using in silico-docking approach. That said, we report an in silico selection and validation of DNA aptamer to the progesterone receptor DNA binding domain (PR DBD) using ssDNA sequences derived from human progesterone response elements (PREs).Firstly, a library of sixty-four different nearnative ssDNA analogs of the corresponding PRE sequences was designed and subjected to secondary and tertiary structural determination. After that, docking between the ssDNA tertiary structures with the PR DBD was carried out using PatchDock. The sequence with the highest docking score was chosen as the aptamer candidate and further validated by in vitro direct ELASA.Among the candidates, we selected the ssDNA sequence (PRDBDapt17; 5′- AGAACAGCGTGTTCT -3′), which showed the highest docking scores of 11334 as a promising PR DBD binding aptamer. In addition, the PRDBDapt17 detected recombinant PR DBD in direct ELASA with a limit of detection of 3.91 nM. The dissociation constant was estimated at 366.6 nM. Therefore, PRDBDapt17 is a potential aptamer that can be used in the diagnosis of breast cancer.
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spelling my.usm.eprints.63775 http://eprints.usm.my/63775/ In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain Tholasi Nadhan, Navien R Medicine (General) Progesterone receptor plays an important role in the progression of breast cancer. Currently, antibody-based Immunohistochemistry is used in pathological assessment of PR levels for the detection of breast cancer. The shortcomings associated with antibodies pave the path to use aptamers as the alternatives. Aptamers are single-stranded DNA or RNA oligonucleotides generated by SELEX that are capable of binding to their cognate target molecules with high affinity and specificity based on their unique structural folding capacity.The tediousness and rigor associated with certain steps of the conventional SELEX intensify the efforts to select DNA aptamers using in silico-docking approach. That said, we report an in silico selection and validation of DNA aptamer to the progesterone receptor DNA binding domain (PR DBD) using ssDNA sequences derived from human progesterone response elements (PREs).Firstly, a library of sixty-four different nearnative ssDNA analogs of the corresponding PRE sequences was designed and subjected to secondary and tertiary structural determination. After that, docking between the ssDNA tertiary structures with the PR DBD was carried out using PatchDock. The sequence with the highest docking score was chosen as the aptamer candidate and further validated by in vitro direct ELASA.Among the candidates, we selected the ssDNA sequence (PRDBDapt17; 5′- AGAACAGCGTGTTCT -3′), which showed the highest docking scores of 11334 as a promising PR DBD binding aptamer. In addition, the PRDBDapt17 detected recombinant PR DBD in direct ELASA with a limit of detection of 3.91 nM. The dissociation constant was estimated at 366.6 nM. Therefore, PRDBDapt17 is a potential aptamer that can be used in the diagnosis of breast cancer. 2022 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63775/1/IN%20SILICO%20SELECTION%20AND%20VALIDATION%2024.pdf Tholasi Nadhan, Navien (2022) In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain. Masters thesis, Universiti Sains Malaysia.
spellingShingle R Medicine (General)
Tholasi Nadhan, Navien
In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title_full In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title_fullStr In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title_full_unstemmed In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title_short In Silico Selection And Validation Of Dna Aptamer Against Progesterone Receptor Dna Binding Domain
title_sort in silico selection and validation of dna aptamer against progesterone receptor dna binding domain
topic R Medicine (General)
url http://eprints.usm.my/63775/1/IN%20SILICO%20SELECTION%20AND%20VALIDATION%2024.pdf
http://eprints.usm.my/63775/
url_provider http://eprints.usm.my/