2012
DOI: 10.1002/dvg.22010
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Identification of novel micrornas in Xenopus laevis metaphase ii arrested eggs

Abstract: Using a combination of deep sequencing and bioinformatics approach, we for the first time identify miRNAs and their relative abundance in mature, metaphase II arrested eggs in X. laevis. We characterize 115 miRNAs that have been described either in X. tropicalis (85), X. laevis (9) or other vertebrate species (21) that also map to known Xenopus pre-miRNAs and to the X. tropicalis genome. Additionally, 72 new X. laevis putative candidate miRNAs are identified based on mapping to X. tropicalis genome within regi… Show more

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Cited by 35 publications
(26 citation statements)
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“…To start addressing this, we designed and validated a miRNA prediction pipeline that processes unannotated small RNA reads into experimentally detectable, novel miRNAs. Interestingly, while we were writing this paper the sequence of miR-F appeared in a list of putative miRNAs from X. laevis, further validating our prediction pipeline (Ambady et al 2012).…”
Section: Discussionsupporting
confidence: 56%
“…To start addressing this, we designed and validated a miRNA prediction pipeline that processes unannotated small RNA reads into experimentally detectable, novel miRNAs. Interestingly, while we were writing this paper the sequence of miR-F appeared in a list of putative miRNAs from X. laevis, further validating our prediction pipeline (Ambady et al 2012).…”
Section: Discussionsupporting
confidence: 56%
“…Flanking sequences of mapped reads were subjected to secondary structure analysis to predict pre-miRNA sequences using Mfold software. The criteria used for miRNA annotation and hairpin structure determination are presented in Table 1 [19, 20]. …”
Section: Methodsmentioning
confidence: 99%
“…However, the reason why some additional mappable sequences (such as groups 2b and 3) may not be selected as candidate radish miRNAs was that they were mapped to the selected miRNAs/pre-miRNAs in miRbase, but could not be mapped to the radish reference sequences. When complete radish genome sequence data becomes available, more radish miRNAs will be obtained (Ambady et al 2012). Many miRNAs have been identified in response to HMs (e.g., Cd, Hg, As, and Al) in rice (Ding et al 2013), M. truncatula (Zhou et al 2012), B. juncea (Srivastava et al 2013) and soybean , which provided a means of exploring the molecular basis for metal adaptive responses in plants (Gielen et al 2012;Gupta et al 2014;Khraiwesh et al 2012;Yang and Chen 2013).…”
Section: Identification Of Pb-responsive Mirnas By Solexa Sequencing mentioning
confidence: 99%