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Paralogs hnRNP L and hnRNP LL Exhibit Overlapping but Distinct RNA Binding Constraints

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Title
Paralogs hnRNP L and hnRNP LL Exhibit Overlapping but Distinct RNA Binding Constraints
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0080701
Pubmed ID
Authors

Sarah A. Smith, Debashish Ray, Kate B. Cook, Michael J. Mallory, Timothy R. Hughes, Kristen W. Lynch

Abstract

HnRNP (heterogeneous nuclear ribonucleoprotein) proteins are a large family of RNA-binding proteins that regulate numerous aspects of RNA processing. Interestingly, several paralogous pairs of hnRNPs exist that exhibit similar RNA-binding specificity to one another, yet have non-redundant functional targets in vivo. In this study we systematically investigate the possibility that the paralogs hnRNP L and hnRNP LL have distinct RNA binding determinants that may underlie their lack of functional redundancy. Using a combination of RNAcompete and native gel analysis we find that while both hnRNP L and hnRNP LL preferentially bind sequences that contain repeated CA dinucleotides, these proteins differ in their requirement for the spacing of the CAs. Specifically, hnRNP LL has a more stringent requirement for a two nucleotide space between CA repeats than does hnRNP L, resulting in hnRNP L binding more promiscuously than does hnRNP LL. Importantly, this differential requirement for the spacing of CA dinucleotides explains the previously observed differences in the sensitivity of hnRNP L and LL to mutations within the CD45 gene. We suggest that overlapping but divergent RNA-binding preferences, as we show here for hnRNP L and hnRNP LL, may be commonplace among other hnRNP paralogs.

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The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Student > Master 5 18%
Researcher 4 14%
Student > Doctoral Student 2 7%
Professor 1 4%
Other 2 7%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 43%
Agricultural and Biological Sciences 4 14%
Immunology and Microbiology 2 7%
Arts and Humanities 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 7 25%