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'''High-throughput sequencing of RNA isolated by crosslinking immunoprecipitation''' ('''HITS-CLIP''', also known as '''CLIP-Seq''') is a [[genome]]-wide means of mapping [[protein]]–[[RNA]] binding sites or RNA modification sites [[in vivo]].<ref>{{cite journal | author = Darnell RB | year = 2010 | title = HITS-CLIP: panoramic views of protein-RNA regulation in living cells | journal = Wiley Interdiscip Rev RNA | volume = 1 | issue = 2| pages = 266–86 | doi = 10.1002/wrna.31 | pmid = 21935890 | pmc=3222227}}</ref><ref name="Licatalosi DD, Mele A, Fak JJ, et al. 2008 464–9">{{cite journal |vauthors=Licatalosi DD, Mele A, Fak JJ, Ule J, Kayikci M, Chi SW, Clark TA, Schweitzer AC, Blume JE, Wang X, Darnell JC, Darnell RB |title=HITS-CLIP yields genome-wide insights into brain alternative RNA processing |journal=Nature |volume=456 |issue=7221 |pages=464–9 |date=November 2008 |pmid=18978773 |pmc=2597294 |doi=10.1038/nature07488}}</ref><ref name="ke2015">{{cite journal|last1=Ke|first1=S|last2=Alemu|first2=EA|last3=Mertens|first3=C|last4=Gantman|first4=EC|last5=Fak|first5=JJ|last6=Mele|first6=A|last7=Haripal|first7=B|last8=Zucker-Scharff|first8=I|last9=Moore|first9=MJ|last10=Park|first10=CY|last11=Vågbø|first11=CB|last12=Kusnierczyk|first12=A|last13=Klungland|first13=A|last14=Darnell|first14=JE|last15=Darnell|first15=RB|title=A majority of m6A residues are in the last exons, allowing the potential for 3′ UTR regulation.|journal=Genes & Development|date=24 September 2015|volume=29|issue=19|pages=2037–53|pmid=26404942|doi=10.1101/gad.269415.115|pmc=4604345}}</ref> HITS-CLIP was originally used to generate genome-wide protein-RNA interaction maps for the neuron-specific [[RNA-binding protein]] and [[splicing factor]] [[NOVA1]] and NOVA2;<ref name="Licatalosi DD, Mele A, Fak JJ, et al. 2008 464–9" /> since then a number of other splicing factor maps have been generated, including those for PTB,<ref>{{citation |journal=Molecular Cell |vauthors=Xue Y, Zhou Y, Wu T, Zhu T, Ju X, Kwon YS, Zhang C, Yeo G, Black DL, Sun H, Fu XD, Zhang Y |title= Genome-wide analysis of PTB-RNA interactions reveals a strategy used by the general splicing repressor to modulate exon inclusion or skipping |volume=36 |issue=6 |pages=996–1006 |year=2009 |
HITS-CLIP of the RNA-binding protein [[Argonaute]] has been performed for the identification of microRNA targets<ref>{{cite journal|last=Thomson|first=DW |author2=Bracken, CP |author3=Goodall, GJ|title=Experimental strategies for microRNA target identification.|journal=Nucleic Acids Research|date=2011-06-07|pmid=21652644|doi=10.1093/nar/gkr330|pmc=3167600|volume=39|issue=16|pages=6845–6853}}</ref> by decoding [[microRNA]]-mRNA and protein-RNA interaction maps in mouse brain,<ref name="Chi,S.W., Zang,J.B., Mele,A. and Darnell,R.B. 2009 479–486">{{citation |journal=Nature |author=Chi, S.W.|author2= Zang, J.B.|author3=Mele, A.|author4=Darnell,R.B. |title=Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps |volume=460|issue=7254 |pages=479–486 |year=2009 |pmid=19536157 |pmc=2733940 |doi=10.1038/nature08170}}</ref><ref name="pmid21037263">{{cite journal |vauthors=Yang JH, Li JH, Shao P, Zhou H, Chen YQ, Qu LH |title=starBase: a database for exploring microRNA–mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data. |journal=Nucleic Acids Res. |volume=39|issue=Database issue |pages=
As a novel modification of HITS-CLIP, m6A-CLIP was developed to precisely map N6-Methyladenosine(m6A) locations in mRNA by UV-crosslinking m6A antibody to the target RNA.<ref name="ke2015"/><ref name="ke2017"/> Recently, improved [[bioinformatics]] applied to Argonaute HITS-CLIP enables identification of binding sites with single nucleotide resolution.<ref>{{cite journal |journal=Nature Biotechnology |author=Zhang, C. |author2=Darnell,R.B. |title=Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data. |volume=29 |issue=7 |pages=607–614 |year=2011 |pmid= 21633356 |doi=10.1038/nbt.1873 |pmc=3400429}}</ref>
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== External links ==
* [http://cm.jefferson.edu/CLIPSim-MC/ CLIPSim-MC]: CLIPSim-MC is a tool that uses CLIP-seq data to find [[miRNA]]/MRE pairings using a Monte-Carlo-based approach.<ref>{{citation |journal=Scientific Reports |author1=Peter M. Clark |author2=Phillipe Loher |author3=Kevin Quann |author4=Jonathan Brody |author5=Eric R. Londin |author6=Isidore Rigoutsos |title=Argonaute CLIP-Seq reveals miRNA targetome diversity across tissue types |volume=4 |issue=5947 |pages=5947 |year=2014 |
* [http://starbase.sysu.edu.cn/ starBase database]: a database for exploring miRNA-mRNA, miRNA-[[lncRNA]], miRNA-[[sncRNA]], miRNA-[[circRNA]], miRNA-[[pseudogene]], protein-[[lncRNA]], '''[[protein-RNA]]''' interactions and [[ceRNA]] networks from '''HITS-CLIP''' ('''[[CLIP-Seq]]''', '''PAR-CLIP''', '''[[iCLIP]]''', '''CLASH''') data, and '''[http://www.targetscan.org TargetScan]'''<ref>{{Cite journal|title = Predicting effective microRNA target sites in mammalian mRNAs|url = http://elifesciences.org/content/4/e05005|journal = eLife|date = 2015-08-12|issn = 2050-084X|pmc = 4532895|pmid = 26267216|pages = e05005|volume = 4|doi = 10.7554/eLife.05005|language = en|first = Vikram|last = Agarwal|first2 = George W.|last2 = Bell|first3 = Jin-Wu|last3 = Nam|first4 = David P.|last4 = Bartel}}</ref>''', PicTar, RNA22, miRanda and PITA''' microRNA target sites.
* [http://www.clipz.unibas.ch/ clipz]: a pipeline to analyze short RNA reads from HITS-CLIP experiments.
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