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Eli Eisenberg

dblp:74/7063 · DBLP profile ↗
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4ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-8681-3202ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
RNA editing
0.212015
DREAM: a webserver for the identification of editing sites in mature miRNAs using deep sequencing data · Bioinform. 2015
Bioinformatics and computational biology › gene regulation › regulatory element discovery
cis-regulatory element identification
0.112009
A new cis-acting regulatory element driving gene expression in the zebrafish pineal gland · Bioinform. 2009
Bioinformatics and computational biology
gene regulation
0.112009
A new cis-acting regulatory element driving gene expression in the zebrafish pineal gland · Bioinform. 2009
Bioinformatics and computational biology › gene expression analysis › gene expression pattern analysis
tissue-specific gene expression
0.112009
A new cis-acting regulatory element driving gene expression in the zebrafish pineal gland · Bioinform. 2009
Bioinformatics and computational biology › sequence analysis › high-throughput sequencing data analysis
deep sequencing data analysis
0.112015
DREAM: a webserver for the identification of editing sites in mature miRNAs using deep sequencing data · Bioinform. 2015
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
microRNA analysis
0.112015
DREAM: a webserver for the identification of editing sites in mature miRNAs using deep sequencing data · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

statistical significance testing · 0.2read alignment · 0.2mutational analysis · 0.1motif detection · 0.1microarray analysis · 0.1
YearPublicationVenuePosition
2023 Increased A-to-I RNA editing in atherosclerosis and cardiomyopathies
abstract
Adenosine-to-inosine RNA editing is essential to prevent undesired immune activation. This diverse process alters the genetic content of the RNA and may recode proteins, change splice sites and miRNA targets, and mimic genomic mutations. Recent studies have associated or implicated aberrant editing with pathological conditions, including cancer, autoimmune diseases, and neurological and psychiatric conditions. RNA editing patterns in cardiovascular tissues have not been investigated systematically so far, and little is known about its potential role in cardiac diseases. Some hints suggest robust editing in this system, including the fact that ADARB1 (ADAR2), the main coding-sequence editor, is most highly expressed in these tissues. Here we characterized RNA editing in the heart and arteries and examined a contributory role to the development of atherosclerosis and two structural heart diseases -Ischemic and Dilated Cardiomyopathies. Analyzing hundreds of RNA-seq samples taken from the heart and arteries of cardiac patients and controls, we find that global editing, alongside inflammatory gene expression, is increased in patients with atherosclerosis, cardiomyopathies, and heart failure. We describe a single recoding editing site and suggest it as a target for focused research. This recoding editing site in the IGFBP7 gene is one of the only evolutionary conserved sites between mammals, and we found it exhibits consistently increased levels of editing in these patients. Our findings reveal that RNA editing is abundant in arteries and is elevated in several key cardiovascular conditions. They thus provide a roadmap for basic and translational research of RNA as a mediator of atherosclerosis and non-genetic cardiomyopathies.
Tomer D. Mann, Eli Kopel, Eli Eisenberg, Erez Y. Levanon
PLoS Comput. Biol.3
2019 Corrigendum to: A new cis-acting regulatory element driving gene expression in the zebrafish pineal gland
abstract
Bioinformatics (2009) doi:10.1093/bioinformatics/btp031 The following funding acknowledgement was omitted from the above paper: This research was supported in part by the Division of Intramural Research, NICHD, National Institutes of Health. The authors apologize for this error which has been corrected online.
Shahar Alon, Eli Eisenberg, Jasmine Jacob-Hirsch, Gideon Rechavi, Gad Vatine, Reiko Toyama, Steven L. Coon, David C. Klein, Yoav Gothilf
Bioinform.2
2015 DREAM: a webserver for the identification of editing sites in mature miRNAs using deep sequencing data
abstract
Abstract Summary: DREAM: detecting RNA editing associated with microRNAs, is a webserver for the identification of mature microRNA editing events using deep sequencing data. Raw microRNA sequencing reads can be provided as input, the reads are aligned against the genome and custom scripts process the data, search for potential editing sites and assess the statistical significance of the findings. The output is a text file with the location and the statistical description of all the putative editing sites detected. Availability and implementation: DREAM is freely available on the web at http://www.cs.tau.ac.il/∼mirnaed/. Contact: [email protected]
Shahar Alon, Muhammad Erew, Eli Eisenberg
Bioinform.3
2009 A new cis-acting regulatory element driving gene expression in the zebrafish pineal gland
abstract
MOTIVATION: The identification of functional cis-acting DNA regulatory elements is a crucial step towards understanding gene regulation. Ab initio motif detection algorithms have been extensively used in search of regulatory elements. Yet, their success in providing experimentally validated regulatory elements in vertebrates has been limited. RESULTS: Here we report in silico identification and in vivo validation of regulatory elements that determine enhanced gene expression in the pineal gland of zebrafish. Microarray data enabled detection of genes that exhibit high expression in the pineal gland. The promoter regions of these genes were computationally analyzed in order to identify overrepresented motifs. The highest ranking motif identified is a CRX/OTX binding site, known to govern expression in the pineal gland and retina. The second highest ranking motif was not reported before; we experimentally validated its function in vivo by mutational analysis. The methodology presented here may be applicable as a general scheme for finding regulatory elements that contribute to tissue-specific gene expression.
Shahar Alon, Eli Eisenberg, Jasmine Jacob-Hirsch, Gideon Rechavi, Gad Vatine, Reiko Toyama, Steven L. Coon, David C. Klein, Yoav Gothilf
Bioinform.2