MicroRNAs, Regulatory Networks, and Comorbidities: Decoding Complex Systems
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MicroRNAs, Regulatory Networks, and Comorbidities : Decoding Complex Systems. / Russo, Francesco; Belling, Kirstine; Jensen, Anders Boeck; Scoyni, Flavia; Brunak, Søren; Pellegrini, Marco.
In: Methods in molecular biology (Clifton, N.J.), Vol. 1580, 2017, p. 281-295.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - MicroRNAs, Regulatory Networks, and Comorbidities
T2 - Decoding Complex Systems
AU - Russo, Francesco
AU - Belling, Kirstine
AU - Jensen, Anders Boeck
AU - Scoyni, Flavia
AU - Brunak, Søren
AU - Pellegrini, Marco
PY - 2017
Y1 - 2017
N2 - MicroRNAs (miRNAs) are small noncoding RNAs involved in the posttranscriptional regulation of messenger RNAs (mRNAs). Each miRNA targets a specific set of mRNAs. Upon binding the miRNA inhibits mRNA translation or facilitate mRNA degradation. miRNAs are frequently deregulated in several pathologies including cancer and cardiovascular diseases. Since miRNAs have a crucial role in fine-tuning the expression of their targets, they have been proposed as biomarkers of disease progression and prognostication.In this chapter we discuss different approaches for computational predictions of miRNA targets based on sequence complementarity and integration of expression data. In the last section of the chapter we discuss new opportunities in the study of miRNA regulatory networks in the context of temporal disease progression and comorbidities.
AB - MicroRNAs (miRNAs) are small noncoding RNAs involved in the posttranscriptional regulation of messenger RNAs (mRNAs). Each miRNA targets a specific set of mRNAs. Upon binding the miRNA inhibits mRNA translation or facilitate mRNA degradation. miRNAs are frequently deregulated in several pathologies including cancer and cardiovascular diseases. Since miRNAs have a crucial role in fine-tuning the expression of their targets, they have been proposed as biomarkers of disease progression and prognostication.In this chapter we discuss different approaches for computational predictions of miRNA targets based on sequence complementarity and integration of expression data. In the last section of the chapter we discuss new opportunities in the study of miRNA regulatory networks in the context of temporal disease progression and comorbidities.
KW - Journal Article
U2 - 10.1007/978-1-4939-6866-4_19
DO - 10.1007/978-1-4939-6866-4_19
M3 - Journal article
C2 - 28439840
VL - 1580
SP - 281
EP - 295
JO - Methods in Molecular Biology
JF - Methods in Molecular Biology
SN - 1064-3745
ER -
ID: 177047578