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Nurit Paz-Yaacov

Researcher at Sheba Medical Center

Publications -  7
Citations -  456

Nurit Paz-Yaacov is an academic researcher from Sheba Medical Center. The author has contributed to research in topics: RNA editing & Cancer. The author has an hindex of 4, co-authored 4 publications receiving 387 citations. Previous affiliations of Nurit Paz-Yaacov include Bar-Ilan University.

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Elevated RNA Editing Activity Is a Major Contributor to Transcriptomic Diversity in Tumors.

TL;DR: It is shown that A-to-I editing and the enzymes mediating this modification are significantly altered, usually elevated, in most cancer types, and increased editing activity is found to be associated with patient survival.
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Adenosine-to-inosine RNA editing shapes transcriptome diversity in primates

TL;DR: It is shown here that combinatorial editing is the most significant contributor to the transcriptome repertoire and suggested that Alu editing adapted by natural selection may therefore serve as an alternate information mechanism based on the binary A/I code.
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Consistent levels of A-to-I RNA editing across individuals in coding sequences and non-conserved Alu repeats

TL;DR: The findings suggest that A-to-I RNA-editing of Alu elements is a tightly regulated process and, as such, might have been recruited in the course of primate evolution for post-transcriptional regulatory mechanisms.
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Induction of polyploidy by nuclear fusion mechanism upon decreased expression of the nuclear envelope protein LAP2β in the human osteosarcoma cell line U2OS

TL;DR: The results suggest that nuclear fusion mechanism underlies the polyploidization induction upon LAP2β reduced expression and implies on a novel role of LAP 2β in the maintenance of cell ploidy status.
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Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms

TL;DR: In this paper , an advanced convolutional neural network (CNN) was used to generate classifier models to detect ALK and ROS1-fusions directly from scanned hematoxylin and eosin (H&E) whole slide images prepared from NSCLC tumors of patients.