Literature DB >> 7558040

The frequency and position of Alu repeats in cDNAs, as determined by database searching.

I G Yulug1, A Yulug, E M Fisher.   

Abstract

The Alu repeat sequence is estimated to account for 5% of human genomic DNA. The precise relationship of Alu sequences to human fully spliced cDNA has yet to be determined, although many new protocols for cloning cDNAs either depend on the presence of Alus or--more usually--rely on their absence in a population of messages. Previous estimates of the percentage of fully spliced human transcripts that contain Alu repeats have relied on hybridization procedures. Here we have gone directly to the DNA sequence by extracting over 1600 entries from GenBank that are described as human complete cDNAs, and we have assessed the frequency with which the Alu repeat sequence occurs in these sequences. We find that 5% of fully spliced human cDNAs contain Alu sequences. In addition, we have quantified the appearance of Alus in the different cDNA regions, 5' untranslated region (UTR), coding region, and 3' UTR. The vast majority of Alus are found in the 3' UTR, but 14% lie in the 5' UTR, and very rarely an Alu sequence is present within, or partially within, the coding region of the transcript.

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Year:  1995        PMID: 7558040     DOI: 10.1006/geno.1995.1090

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  30 in total

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Review 4.  The role of Alu elements in the cis-regulation of RNA processing.

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5.  Sensitive gene fusion detection using ambiguously mapping RNA-Seq read pairs.

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Journal:  Bioinformatics       Date:  2011-02-16       Impact factor: 6.937

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8.  Evidence for co-evolution between human microRNAs and Alu-repeats.

Authors:  Stefan Lehnert; Peter Van Loo; Pushpike J Thilakarathne; Peter Marynen; Geert Verbeke; Frans C Schuit
Journal:  PLoS One       Date:  2009-02-11       Impact factor: 3.240

9.  A useful approach to total analysis of RISC-associated RNA.

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10.  Expressed Alu repeats as a novel, reliable tool for normalization of real-time quantitative RT-PCR data.

Authors:  Manuela Marullo; Chiara Zuccato; Caterina Mariotti; Nayana Lahiri; Sarah J Tabrizi; Stefano Di Donato; Elena Cattaneo
Journal:  Genome Biol       Date:  2010-01-28       Impact factor: 13.583

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