The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers

Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard progno...

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Main Authors: Nitika Kandhari, Calvin A. Kraupner-Taylor, Paul F. Harrison, David R. Powell, Traude H. Beilharz
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/10/5322
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spelling doaj-52ba6bb572cf4f339123c235a15a147a2021-06-01T00:25:18ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-05-01225322532210.3390/ijms22105322The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer BiomarkersNitika Kandhari0Calvin A. Kraupner-Taylor1Paul F. Harrison2David R. Powell3Traude H. Beilharz4Development and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, AustraliaDevelopment and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, AustraliaDevelopment and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, AustraliaMonash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, AustraliaDevelopment and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, AustraliaAlternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard prognostic measures such as gene expression and clinical parameters, these could advance cancer prognostic testing and possibly guide therapy. In this review, we focus on the existing methodologies, both experimental and computational, that have been applied to support the use of alternative polyadenylation as cancer biomarkers.https://www.mdpi.com/1422-0067/22/10/5322alternative polyadenylationbioinformatics3′ focused RNA-seqscRNA-seqcancer biomarkers
collection DOAJ
language English
format Article
sources DOAJ
author Nitika Kandhari
Calvin A. Kraupner-Taylor
Paul F. Harrison
David R. Powell
Traude H. Beilharz
spellingShingle Nitika Kandhari
Calvin A. Kraupner-Taylor
Paul F. Harrison
David R. Powell
Traude H. Beilharz
The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
International Journal of Molecular Sciences
alternative polyadenylation
bioinformatics
3′ focused RNA-seq
scRNA-seq
cancer biomarkers
author_facet Nitika Kandhari
Calvin A. Kraupner-Taylor
Paul F. Harrison
David R. Powell
Traude H. Beilharz
author_sort Nitika Kandhari
title The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
title_short The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
title_full The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
title_fullStr The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
title_full_unstemmed The Detection and Bioinformatic Analysis of Alternative 3<sup>′</sup> UTR Isoforms as Potential Cancer Biomarkers
title_sort detection and bioinformatic analysis of alternative 3<sup>′</sup> utr isoforms as potential cancer biomarkers
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1661-6596
1422-0067
publishDate 2021-05-01
description Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard prognostic measures such as gene expression and clinical parameters, these could advance cancer prognostic testing and possibly guide therapy. In this review, we focus on the existing methodologies, both experimental and computational, that have been applied to support the use of alternative polyadenylation as cancer biomarkers.
topic alternative polyadenylation
bioinformatics
3′ focused RNA-seq
scRNA-seq
cancer biomarkers
url https://www.mdpi.com/1422-0067/22/10/5322
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