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Natalia N. Singh

Researcher at Iowa State University

Publications -  51
Citations -  2853

Natalia N. Singh is an academic researcher from Iowa State University. The author has contributed to research in topics: Spinal muscular atrophy & Exon. The author has an hindex of 26, co-authored 48 publications receiving 2399 citations. Previous affiliations of Natalia N. Singh include ATCC & University of Massachusetts Boston.

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Splicing of a Critical Exon of Human Survival Motor Neuron Is Regulated by a Unique Silencer Element Located in the Last Intron

TL;DR: A novel inhibitory element located immediately downstream of the 5′ splice site in intron 7 is described, which underscores for the first time the profound impact of an evolutionarily nonconserved intronic element on SMN2 exon 7 splicing.
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Modulating role of RNA structure in alternative splicing of a critical exon in the spinal muscular atrophy genes

TL;DR: The inhibitory impact of RNA structure on the weak 5′ ss of exon 7 is shown and the critical role ofRNA structure in regulation of alternative splicing of human SMN is revealed for the first time.
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Diverse role of survival motor neuron protein.

TL;DR: A review provides a summary of various SMN functions with implications to a better understanding of SMA, a leading genetic cause of infant mortality and other pathological conditions.
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A short antisense oligonucleotide masking a unique intronic motif prevents skipping of a critical exon in spinal muscular atrophy

TL;DR: It is demonstrated that a single low nanomolar dose of this 8-mer ASO substantially increases the levels of SMN and a host of factors including Gemin 2, Gemin 8, ZPR1, hnRNP Q and Tra2-β1 known to be down regulated in SMA.
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In vivo selection reveals combinatorial controls that define a critical exon in the spinal muscular atrophy genes

TL;DR: The results suggest that the evolutionary conserved weak 5' ss may serve as a mechanism to regulate exon 7 splicing under different physiological contexts, and are the first report in which a functional selection method has been applied to analyze the entire exon.