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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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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