Widespread changes in protein synthesis induced by microRNAs

By Matthias Selbach, Björn Schwanhäusser, Nadine Thierfelder, Zhuo Fang, Raya Khanin, Nikolaus Rajewsky. Nature, 2008

3,621 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bb3488c1317e6d86f3f732ad8452d86d8c3510fc

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Citations in the corpus

miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions (2013, methodology): “Recently, genome-wide screening experiments have been developed including microarrays with overexpression or the knockdown of miRNAs, stable isotope labeling with amino acids in culture (SILAC) or pulsed SILAC [pSILAC (29)].”
Predicting effective microRNA target sites in mammalian mRNAs (2015, methodology): “…(let7b_32h, miR-30_32h, miR-155_32h, miR-16_32h) ( Lim et al., 2005 ; Grimson et al., 2007 ; Linsley et al., 2007 ; Selbach et al., 2008 ) Figure 1H , Figure 6K,L E-MTAB-2110 ( Tan et al., 2014 ) Figure 1I , Figure 1—figure supplement 2B , Figure 6E GSM1479572,…”
Inositol phosphatase SHIP1 is a primary target of miR-155 (2009, background): “To date, several putative targets of miR-155 have been predicted through bioinformatic and proteomic approaches (46), indicating that there may be great complexity underlying miR-155 function.”
Many roads to maturity: microRNA biogenesis pathways and their regulation (2009, background): “Proteomic studies have recently uncovered the broad impact of a single miRNA on hundreds of target”
TarBase 6.0: capturing the exponential growth of miRNA targets with experimental support (2011, background): “Each miRNA is estimated to regulate a large number of targets (4,5).”
Metazoan MicroRNAs (2018, background): “However, not all mRNAs with a 7–8 nt canonical site respond to the miRNA (Baek et al., 2008; Selbach et al., 2008), and thus additional strategies that further differentiate among these predictions can add value.”
microRNA-133a regulates cardiomyocyte proliferation and suppresses smooth muscle gene expression in the heart. (2008, background): “Because miRNAs typically diminish the expression of their mRNA targets (Baek et al. 2008; Selbach et al. 2008), we focused on those mRNAs that were up-regulated in dKO hearts, a subset of which would be expected to be direct targets of miR-133a.”
miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis (2016, methodology): “For instance, microarrays and RNA-seq are increasingly employed to measure the silencing effects of miRNAs at the gene expression level; Quantitative-mass-spectrometrybased approaches such as stable-isotope labeling by amino acids in cell culture (SILAC) are often applied to measure changes at the p”
MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship (2012, background): “This can be accomplished on a genome-wide scale through transcriptome profiling using microarrays or RNA sequencing (RNA-seq) and through quantitative proteomic platforms, such as stable isotope labelling with amino acids in culture (SILAC”