Title |
Microarray and deep sequencing cross-platform analysis of the mirRNome and isomiR variation in response to epidermal growth factor
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Published in |
BMC Genomics, June 2013
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DOI | 10.1186/1471-2164-14-371 |
Pubmed ID | |
Authors |
Franc Llorens, Manuela Hummel, Lorena Pantano, Xavier Pastor, Ana Vivancos, Ester Castillo, Heidi Mattlin, Anna Ferrer, Matthew Ingham, Marc Noguera, Robert Kofler, Juliane C Dohm, Raquel Pluvinet, Mònica Bayés, Heinz Himmelbauer, José Antonio del Rio, Eulàlia Martí, Lauro Sumoy |
Abstract |
Epidermal Growth Factor (EGF) plays an important function in the regulation of cell growth, proliferation, and differentiation by binding to its receptor (EGFR) and providing cancer cells with increased survival responsiveness. Signal transduction carried out by EGF has been extensively studied at both transcriptional and post-transcriptional levels. Little is known about the involvement of microRNAs (miRNAs) in the EGF signaling pathway. miRNAs have emerged as major players in the complex networks of gene regulation, and cancer miRNA expression studies have evidenced a direct involvement of miRNAs in cancer progression. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 14% |
United Kingdom | 1 | 14% |
France | 1 | 14% |
Canada | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 86% |
Members of the public | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 5% |
Netherlands | 1 | 2% |
Austria | 1 | 2% |
France | 1 | 2% |
Denmark | 1 | 2% |
Czechia | 1 | 2% |
Unknown | 55 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 25% |
Student > Ph. D. Student | 14 | 22% |
Student > Bachelor | 7 | 11% |
Professor | 4 | 6% |
Student > Master | 4 | 6% |
Other | 12 | 19% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 59% |
Biochemistry, Genetics and Molecular Biology | 9 | 14% |
Medicine and Dentistry | 3 | 5% |
Neuroscience | 2 | 3% |
Computer Science | 1 | 2% |
Other | 3 | 5% |
Unknown | 8 | 13% |