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Laissez-nous vous aiderNom du produit
Ribonucleic acid diethylaminoethanol salt, Type IX
type
Type IX
storage temp.
2-8°C
Quality Level
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Application
Ribonucleic acid (RNA) from torula yeast may be used as a substrate for studying ribonuclease activities of enzymes such as ribonuclease-A, ribonuclease T1 (RNAase) and bougainvillea xbuttiana antiviral protein 1 (BBAP1).
Classe de stockage
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
Eyeshields, Gloves, type N95 (US)
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Yvonne Tay et al.
Nature, 505(7483), 344-352 (2014-01-17)
Recent reports have described an intricate interplay among diverse RNA species, including protein-coding messenger RNAs and non-coding RNAs such as long non-coding RNAs, pseudogenes and circular RNAs. These RNA transcripts act as competing endogenous RNAs (ceRNAs) or natural microRNA sponges
Giulia Biffi et al.
Nature chemistry, 6(1), 75-80 (2013-12-19)
Following extensive evidence for the formation of four-stranded DNA G-quadruplex structures in vitro, DNA G-quadruplexes have been observed within human cells. Although chemically distinct, RNA can also fold in vitro into G-quadruplex structures that are highly stable because of the
Lisa Hui et al.
Obstetrics and gynecology, 121(6), 1248-1254 (2013-07-03)
To identify the tissue expression patterns and biological pathways enriched in term amniotic fluid cell-free fetal RNA by comparing functional genomic analyses of term and second-trimester amniotic fluid supernatants. This was a prospective whole genome microarray study comparing eight amniotic
Hilal Kazan et al.
Nucleic acids research, 41(Web Server issue), W180-W186 (2013-06-12)
RBPmotif web server (http://www.rnamotif.org) implements tools to identify binding preferences of RNA-binding proteins (RBPs). Given a set of sequences that are known to be bound and unbound by the RBP of interest, RBPmotif provides two types of analysis: (i) de
Guo-Liang Chew et al.
Development (Cambridge, England), 140(13), 2828-2834 (2013-05-24)
Large-scale genomics and computational approaches have identified thousands of putative long non-coding RNAs (lncRNAs). It has been controversial, however, as to what fraction of these RNAs is truly non-coding. Here, we combine ribosome profiling with a machine-learning approach to validate
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