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Diversity and Expression of MicroRNAs in the Filarial Parasite, Brugia malayi

Overview of attention for article published in PLOS ONE, May 2014
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Title
Diversity and Expression of MicroRNAs in the Filarial Parasite, Brugia malayi
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0096498
Pubmed ID
Authors

Catherine B. Poole, Weifeng Gu, Sanjay Kumar, Jingmin Jin, Paul J. Davis, David Bauche, Larry A. McReynolds

Abstract

Human filarial parasites infect an estimated 120 million people in 80 countries worldwide causing blindness and the gross disfigurement of limbs and genitals. An understanding of RNA-mediated regulatory pathways in these parasites may open new avenues for treatment. Toward this goal, small RNAs from Brugia malayi adult females, males and microfilariae were cloned for deep-sequencing. From ∼30 million sequencing reads, 145 miRNAs were identified in the B. malayi genome. Some microRNAs were validated using the p19 RNA binding protein and qPCR. B. malayi miRNAs segregate into 99 families each defined by a unique seed sequence. Sixty-one of the miRNA families are highly conserved with homologues in arthropods, vertebrates and helminths. Of those miRNAs not highly conserved, homologues of 20 B. malayi miRNA families were found in vertebrates. Nine B. malayi miRNA families appear to be filarial-specific as orthologues were not found in other organisms. The miR-2 family is the largest in B. malayi with 11 members. Analysis of the sequences shows that six members result from a recent expansion of the family. Library comparisons found that 1/3 of the B. malayi miRNAs are differentially expressed. For example, miR-71 is 5-7X more highly expressed in microfilariae than adults. Studies suggest that in C.elegans, miR-71 may enhance longevity by targeting the DAF-2 pathway. Characterization of B. malayi miRNAs and their targets will enhance our understanding of their regulatory pathways in filariads and aid in the search for novel therapeutics.

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Geographical breakdown

Country Count As %
India 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 7 19%
Student > Master 4 11%
Professor > Associate Professor 3 8%
Student > Postgraduate 2 6%
Other 5 14%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 42%
Biochemistry, Genetics and Molecular Biology 6 17%
Veterinary Science and Veterinary Medicine 1 3%
Arts and Humanities 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 6%
Unknown 10 28%