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Antonio Marco
Researcher at University of Essex
Publications - 48
Citations - 1587
Antonio Marco is an academic researcher from University of Essex. The author has contributed to research in topics: Gene & microRNA. The author has an hindex of 19, co-authored 46 publications receiving 1389 citations. Previous affiliations of Antonio Marco include The Chinese University of Hong Kong & University of Manchester.
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MicroRNA evolution by arm switching
TL;DR: It is shown that the predicted messenger RNA targets and inferred function of sequences from opposite arms differ significantly, and is likely to be general, and provides a fundamental mechanism to evolve the function of a miRNA locus and target gene network.
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Birds of a Feather: Neanderthal Exploitation of Raptors and Corvids
Clive Finlayson,Clive Finlayson,Kimberly Brown,Ruth Blasco,Jordi Rosell,Juan J. Negro,Gary R. Bortolotti,Geraldine Finlayson,Antonio Marco,Francisco Giles Pacheco,Joaquín Rodríguez Vidal,José S. Carrión,Darren A. Fa,José M. Rodríguez Llanes +13 more
TL;DR: The association involved the direct intervention of Neanderthals on the bones of these birds, which is interpreted as evidence of extraction of large flight feathers, a major advance in the study of human evolution.
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Functional shifts in insect microRNA evolution
TL;DR: It is concluded, from a single study, that the Tribolium miRNA set is at least 15% larger than that in the model insect Drosophila melanogaster (despite tens of high-throughput sequencing experiments in the latter).
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Evolutionary and Structural Analyses of GDAP1, Involved in Charcot-Marie-Tooth Disease, Characterize a Novel Class of Glutathione Transferase-Related Genes
TL;DR: It is demonstrated that GDAP1 andGDAP1L1 do not belong to any of the known classes of GST genes, and are instead characterized by an extended region in GST domain II, absent in most other GSTs, and by a C-terminal end predicted to contain transmembrane domains.
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Clusters of microRNAs emerge by new hairpins in existing transcripts
TL;DR: It is observed that the majority of microRNA clusters arose by the de novo formation of new microRNA-like hairpins in existing microRNA transcripts, and the analysis suggests that the study of microRNAs and small RNAs must consider linkage associations.