Выходит 4 номеров в год
ISSN Печать: 0893-9675
ISSN Онлайн: 2162-6448
Indexed in
Measuring MicroRNA Expression Levels in Oncology: from Samples to Data Analysis
Краткое описание
The relevance of microRNAs (miRNAs) in mammalian species was highlighted in the past decade. Inherent to the rapid advancements in the miRNA field was the growing need for applicable and validated experimental tools that enabled rapid progress from discovery to development of diagnostic and therapeutic applications. In the last few years, different technologies have been developed to measure miRNA expression, and one important challenge is making sense of miRNA profiles. In fact, technical and analytical aspects have substantial impact on subsequent biological interpretations and their translational applications. In the context of the workflow of the entire process of miRNA analysis, we will herein (i) consider some of the more relevant pre-analytical aspects such as study design, sample processing, and miRNA extraction, (ii) describe the available analytical tools for miRNA profiling (reverse transcription quantitative PCR, microarray hybridization, next-generation sequencing) and discuss their strengths and weaknesses, (iii) highlight the available postanalytical strategies for quality control, normalization, and statistical and bioinformatic analyses of miRNA profiling data, and (iv) summarize cross-platform comparison studies.
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Nair Viswam S., Pritchard Colin C., Tewari Muneesh, Ioannidis John P. A., Design and Analysis for Studying microRNAs in Human Disease: A Primer on -Omic Technologies, American Journal of Epidemiology, 180, 2, 2014. Crossref
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Pope Whitney B., Genomics of Brain Tumor Imaging, Neuroimaging Clinics of North America, 25, 1, 2015. Crossref
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Fassbender Amelie, Rahmioglu Nilufer, Vitonis Allison F., Viganò Paola, Giudice Linda C., D’Hooghe Thomas M., Hummelshoj Lone, Adamson G. David, Becker Christian M., Missmer Stacey A., Zondervan Krina T., Adamson G.D., Allaire C., Anchan R., Becker C.M., Bedaiwy M.A., Buck Louis G.M., Calhaz-Jorge C., Chwalisz K., D'Hooghe T.M., Fassbender A., Faustmann T., Fazleabas A.T., Flores I., Forman A., Fraser I., Giudice L.C., Gotte M., Gregersen P., Guo S.-W., Harada T., Hartwell D., Horne A.W., Hull M.L., Hummelshoj L., Ibrahim M.G., Kiesel L., Laufer M.R., Machens K., Mechsner S., Missmer S.A., Montgomery G.W., Nap A., Nyegaard M., Osteen K.G., Petta C.A., Rahmioglu N., Renner S.P., Riedlinger J., Roehrich S., Rogers P.A., Rombauts L., Salumets A., Saridogan E., Seckin T., Stratton P., Sharpe-Timms K.L., Tworoger S., Vigano P., Vincent K., Vitonis A.F., Wienhues-Thelen U.-H., Yeung P.P., Yong P., Zondervan K.T., World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonisation Project: IV. Tissue collection, processing, and storage in endometriosis research, Fertility and Sterility, 102, 5, 2014. Crossref
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Tiberio Paola, Callari Maurizio, Angeloni Valentina, Daidone Maria Grazia, Appierto Valentina, Challenges in Using Circulating miRNAs as Cancer Biomarkers, BioMed Research International, 2015, 2015. Crossref
-
Landoni Elena, Miceli Rosalba, Callari Maurizio, Tiberio Paola, Appierto Valentina, Angeloni Valentina, Mariani Luigi, Daidone Maria Grazia, Proposal of supervised data analysis strategy of plasma miRNAs from hybridisation array data with an application to assess hemolysis-related deregulation, BMC Bioinformatics, 16, 1, 2015. Crossref
-
D'Aiuto F, Callari M, Dugo M, Merlino G, Musella V, Miodini P, Paolini B, Cappelletti V, Daidone M G, miR-30e* is an independent subtype-specific prognostic marker in breast cancer, British Journal of Cancer, 113, 2, 2015. Crossref
-
Yuan Dandan, Cui Xiaomeng, Wang Yang, Zhao Yilei, Li Huiying, Hu Suangjiu, Chu Xiaodan, Li Yan, Li Qiang, Liu Qian, Zhu Wenliang, Zhao Jian-Jun, Enrichment Analysis Identifies Functional MicroRNA-Disease Associations in Humans, PLOS ONE, 10, 8, 2015. Crossref
-
Anil Rahul, Colen Rivka R., Imaging Genomics in Glioblastoma Multiforme, Magnetic Resonance Imaging Clinics of North America, 24, 4, 2016. Crossref
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Lu Jiangkun, Xu Yan, Quan Zhenzhen, Chen Zixuan, Sun Zhenzhen, Qing Hong, Dysregulated microRNAs in neural system: Implication in pathogenesis and biomarker development in Parkinson’s disease, Neuroscience, 365, 2017. Crossref
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Yang Zhen, Wu Liangcai, Wang Anqiang, Tang Wei, Zhao Yi, Zhao Haitao, Teschendorff Andrew E., dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers, Nucleic Acids Research, 45, D1, 2017. Crossref
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Ren Fang-Hui, Yang Hong, He Rong-quan, Lu Jing-ning, Lin Xing-gu, Liang Hai-Wei, Dang Yi-Wu, Feng Zhen-Bo, Chen Gang, Luo Dian-Zhong, Analysis of microarrays of miR-34a and its identification of prospective target gene signature in hepatocellular carcinoma, BMC Cancer, 18, 1, 2018. Crossref
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Krishnan Preethi, Damaraju Sambasivarao, The Challenges and Opportunities in the Clinical Application of Noncoding RNAs: The Road Map for miRNAs and piRNAs in Cancer Diagnostics and Prognostics, International Journal of Genomics, 2018, 2018. Crossref
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Bragazzi Nicola Luigi, Nicolini Claudio, Lichen Planus, in Genomics, Personalized Medicine and Oral Disease, 2015. Crossref
-
Roth Wera, Hecker David, Fava Eugenio, Systems Biology Approaches to the Study of Biological Networks Underlying Alzheimer’s Disease: Role of miRNAs, in Systems Biology of Alzheimer's Disease, 1303, 2016. Crossref
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Pimentel Fernando, Bonilla Patricia, Ravishankar Yashwanth G., Contag Alec, Gopal Nimish, LaCour Sarah, Lee Trenton, Niemz Angelika, Technology in MicroRNA Profiling: Circulating MicroRNAs as Noninvasive Cancer Biomarkers in Breast Cancer, SLAS Technology, 20, 5, 2015. Crossref
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Rahmioglu Nilufer, Fassbender Amelie, Vitonis Allison, Hummelshoj Lone, Adamson David, Becker Christian M., Missmer Stacey A., Zondervan Krina T., Harmonization of Clinical and Laboratory Data to Improve Biomarker Discovery in Endometriosis: WERF EPHect, in Biomarkers for Endometriosis, 2017. Crossref