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Human regulatory proteins associate with non-coding RNAs from the EBV IR1 region

Overview of attention for article published in BMC Research Notes, February 2018
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Title
Human regulatory proteins associate with non-coding RNAs from the EBV IR1 region
Published in
BMC Research Notes, February 2018
DOI 10.1186/s13104-018-3250-8
Pubmed ID
Authors

V. S. Tompkins, D. P. Valverde, W. N. Moss

Abstract

The function of Epstein-Barr virus (EBV) stable intronic sequence (sis)RNAs, non-coding RNAs transcribed from a region required for EBV-mediated cellular transformation, remain unknown. To better understand the function of ebv-sisRNA-1 and ebv-sisRNA-2 from the internal repeat (IR)1 region of EBV, we used a combination of bioinformatics and biochemistry to identify associated RNA binding proteins. The findings reported here are part of ongoing studies to determine the functions of non-coding RNAs from the IR1 region of EBV. Human regulatory proteins HNRNPA1 (heterogeneous nuclear ribonucleoprotein A1), HNRNPC, HNRNPL, HuR (human antigen R), and protein LIN28A (lin-28 homolog A) were predicted to bind ebv-sisRNA-1 and/or ebv-sisRNA-2; FUS (fused in sarcoma) was predicted to associate with ebv-sisRNA-2. Protein interactions were validated using a combination of RNA immunoprecipitation and biotin pulldown assays. Both sisRNAs also precipitated with HNRNPD and NONO (non-POU domain-containing octamer-binding protein). Interestingly, each of these interacting proteins also precipitated non-spliced non-coding RNA sequences transcribed from the IR1 region. Our findings suggest interesting roles for sisRNAs (through their interactions with regulatory proteins) and provide further evidence for the existence of non-spliced stable non-coding RNAs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Professor 1 6%
Other 1 6%
Other 2 11%
Unknown 7 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 2 11%
Business, Management and Accounting 1 6%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2018.
All research outputs
#20,465,050
of 23,023,224 outputs
Outputs from BMC Research Notes
#3,579
of 4,283 outputs
Outputs of similar age
#292,574
of 331,055 outputs
Outputs of similar age from BMC Research Notes
#109
of 133 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.