MicroRNA profiling: approaches and considerations
By C. Pritchard, Heather H. Cheng, Muneesh Tewari. Nature reviews genetics, 2012
1,679 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/09cffdae73ef9e5a000ab479190494e9c9d1267a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Ana Conesa
- Matthias Merkenschlager
- Scott M. Hammond
- H. K. Khorram Khorshid
- K. Saliminejad
- S. Ghaffari
- Shahrzad Soleymani Fard
In Molecular Biology
- David Gomez-Cabrero
- Ana Conesa
- Jesper N. Tegnér
- Andrew E. Teschendorff
- Matthias Merkenschlager
- John Hardy
- Esteban Ballestar
- Scott M. Hammond
Citations in the corpus
- Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences (2016, positive): “It is therefore clear that not only mRNA levels, but also their regulation by microRNAs are important for a more comprehensive overview on gene expression dynamics [64].”
- Data integration in the era of omics: current and future challenges (2014, background): “A second example relates to the storage of miRNA information [21]; this field has observed the development of generic purpose databases (e.g. miRBase and miRNAmap), many specialized databases (e.g. miRWalk, mirDB and Tarbase among others), and even standards for miRNA annotation [22].”
- An overview of microRNAs (2015, background): “miRNA detection methods can be divided into two general categories[211].”
- An overview of microRNAs: Biology, functions, therapeutics, and analysis methods (2018, background): “The identification of mutations in miRNAs could be identified by ultradeep sequencing, even if these mutations occur in only a small fraction of the sample (Pritchard et al., 2012).”
- Microbial Biodiversity and Bioremediation Assessment Through Omics Approaches (2020, background): “It has been used to new and existing microbial community, analyze new viruses (Yozwiak et al., 2012; Quince et al., 2017; Vermote et al., 2018), uncultured bacteria (Wrighton et al., 2012), unique proteins (Godzik, 2011), and metabolic pathways (Morgan et al., 2012).”
- miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database (2015, background): “Additionally, miRNAs may be good candidate for the early detection or prognosis biomarkers for various diseases (7). miRNA deregulation leads to a number of clinically important diseases, ranging from myocardial infarction to various types of cancer (6).”