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microRNAs (miRNAs) regulate gene expression at post-transcriptional level by repressing target RNA molecules. Competition to bind miRNAs tends in turn to correlate their targets, establishing effective RNA-RNA interactions that can…

分子网络 · 定量生物学 2020-07-01 Mattia Miotto , Enzo Marinari , Andrea De Martino

MicroRNAs (miRNAs) are small RNA molecules, about 22 nucleotide long, which post-transcriptionally regulate their target messenger RNAs (mRNAs). They accomplish key roles in gene regulatory networks, ranging from signaling pathways to…

分子网络 · 定量生物学 2012-10-09 Carla Bosia , Andrea Pagnani , Riccardo Zecchina

According to the `ceRNA hypothesis', microRNAs (miRNAs) may act as mediators of an effective positive interaction between long coding or non-coding RNA molecules, carrying significant potential implications for a variety of biological…

分子网络 · 定量生物学 2016-01-28 Araks Martirosyan , Matteo Figliuzzi , Enzo Marinari , Andrea De Martino

The observation that, through a titration mechanism, microRNAs (miRNAs) can act as mediators of effective interactions among their common targets (competing endogenous RNAs or ceRNAs) has brought forward the idea ('ceRNA hypothesis') that…

分子网络 · 定量生物学 2015-06-18 Matteo Figliuzzi , Andrea De Martino , Enzo Marinari

MicroRNAs are small noncoding RNAs that regulate genes post-transciptionally by binding and degrading target eukaryotic mRNAs. We use a quantitative model to study gene regulation by inhibitory microRNAs and compare it to gene regulation by…

分子网络 · 定量生物学 2013-09-10 Javad Noorbakhsh , Alex Lang , Pankaj Mehta

It has recently been suggested that the competition for a finite pool of microRNAs (miRNA) gives rise to effective interactions among their common targets (competing endogenous RNAs or ceRNAs) that could prove to be crucial for…

分子网络 · 定量生物学 2015-06-11 Matteo Figliuzzi , Enzo Marinari , Andrea De Martino

Gene expression is a noisy process and several mechanisms, both transcriptional and posttranscriptional, can stabilize protein levels in cells. Much work has focused on the role of miRNAs, showing in particular that miRNA-mediated…

分子网络 · 定量生物学 2017-03-09 Araks Martirosyan , Andrea De Martino , Andrea Pagnani , Enzo Marinari

Non-conding RNAs play a key role in the post-transcriptional regulation of mRNA translation and turnover in eukaryotes. miRNAs, in particular, interact with their target RNAs through protein-mediated, sequence-specific binding, giving rise…

The processes, resulting in the transcription of RNA, are intrinsically noisy. It was observed experimentally that the synthesis of mRNA molecules is driven by short, burst-like, events. An accurate prediction of the protein level often…

种群与进化 · 定量生物学 2009-10-14 Vlad Elgart

MicroRNAs (miRNAs) are a class of small noncoding RNAs that can regulate many genes by base pairing to sites in mRNAs. The functionality of miRNAs overlaps that of short interfering RNAs (siRNAs), and many features of miRNA targeting have…

基因组学 · 定量生物学 2021-07-08 Takaya Saito , Pål Sætrom

Biological information processing as implemented by regulatory and signaling networks in living cells requires sufficient specificity of molecular interaction to distinguish signals from one another, but much of regulation and signaling…

生物大分子 · 定量生物学 2015-01-29 Christopher R. Myers

It is well known that, under suitable conditions, microRNAs are able to fine tune the relative concentration of their targets to any desired value. We show that this function is particularly effective when one of the targets is a…

分子网络 · 定量生物学 2015-06-16 Andrea Riba , Carla Bosia , Mariama El Baroudi , Laura Ollino , Michele Caselle

Small, non-coding RNAs (sRNAs) play important roles as genetic regulators in prokaryotes. sRNAs act post-transcriptionally via complementary pairing with target mRNAs to regulate protein expression. We use a quantitative approach to compare…

分子网络 · 定量生物学 2008-09-04 Pankaj Mehta , Sidhartha Goyal , Ned S. Wingreen

A wealth of new research has highlighted the critical roles of small RNAs (sRNAs) in diverse processes such as quorum sensing and cellular responses to stress. The pathways controlling these processes often have a central motif comprising…

分子网络 · 定量生物学 2015-05-27 Charles Baker , Tao Jia , Rahul V. Kulkarni

MicroRNA-mediated regulation of gene expression is characterised by some distinctive features that set it apart from unregulated and transcription factor-regulated gene expression. Recently, a mathematical model has been proposed to…

定量方法 · 定量生物学 2012-10-19 Indrani Bose , Sayantari Ghosh

Often in bacterial regulatory networks, small noncoding RNAs (sRNA) interact with several mRNA species. The competition among mRNAs for binding to the same pool of sRNA might lead to crosstalk between the mRNAs. This is similar to the…

分子网络 · 定量生物学 2019-12-17 Swathi Tej , Sutapa Mukherji

Competition to bind microRNAs induces an effective positive crosstalk between their targets, therefore known as `competing endogenous RNAs' or ceRNAs. While such an effect is known to play a significant role in specific conditions,…

分子网络 · 定量生物学 2017-08-02 Araks Martirosyan , Matteo Marsili , Andrea De Martino

In the past decades microRNAs (miRNA) have much attracted the attention of researchers at the interface between life and theoretical sciences for their involvement in post-transcriptional regulation and related diseases. Thanks to the…

分子网络 · 定量生物学 2020-02-11 Elsi Ferro , Chiara Enrico Bena , Silvia Grigolon , Carla Bosia

MicroRNAs (miRNAs) are endogenous 22-nucleotide RNAs, which suppress gene expression by selectively binding to the 3-noncoding region of specific message RNAs through base-pairing. Given the diversity and abundance of miRNA targets, miRNAs…

分子网络 · 定量生物学 2007-05-23 Qinghua Cui , Zhenbao Yu , Enrico O. Purisima , Edwin Wang

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional level through complementary base pairing with the target mRNA, leading to mRNA degradation and blocking translation process. Any…

基因组学 · 定量生物学 2020-05-01 Muniba Faiza , Khushnuma Tanveer , Saman Fatihi , Yonghua Wang , Khalid Raza
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