Demo Data from EDBT 2026 / reviewers in the wild / expert
Yonit Hoffman
dblp:127/9467
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation
microRNA biology |
0.2 | 1 | 2013 | The majority of endogenous microRNA targets within Alu elements avoid the microRNA machinery · Bioinform. 2013 |
Bioinformatics and computational biology › gene regulation
microRNA target prediction |
0.2 | 1 | 2013 | The majority of endogenous microRNA targets within Alu elements avoid the microRNA machinery · Bioinform. 2013 |
Bioinformatics and computational biology
genomics |
0.0 | 1 | 2013 | The majority of endogenous microRNA targets within Alu elements avoid the microRNA machinery · Bioinform. 2013 |
Bioinformatics and computational biology › genomics › repetitive DNA analysis
repetitive element analysis |
0.0 | 1 | 2013 | The majority of endogenous microRNA targets within Alu elements avoid the microRNA machinery · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
microRNA overexpression assay · 0.2ago2-binding profiling · 0.2a-to-i editing analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | The majority of endogenous microRNA targets within Alu elements avoid the microRNA machineryabstractMOTIVATION: The massive spread of repetitive elements in the human genome presents a substantial challenge to the organism, as such elements may accidentally contain seemingly functional motifs. A striking example is offered by the roughly one million copies of Alu repeats in the genome, of which ∼0.5% reside within genes' untranslated regions (UTRs), presenting ∼30 000 novel potential targets for highly conserved microRNAs (miRNAs). Here, we examine the functionality of miRNA targets within Alu elements in 3'UTRs in the human genome. RESULTS: Using a comprehensive dataset of miRNA overexpression assays, we show that mRNAs with miRNA targets within Alus are significantly less responsive to the miRNA effects compared with mRNAs that have the same targets outside Alus. Using Ago2-binding mRNA profiling, we confirm that the miRNA machinery avoids miRNA targets within Alus, as opposed to the highly efficient binding of targets outside Alus. We propose three features that prevent potential miRNA sites within Alus from being recognized by the miRNA machinery: (i) Alu repeats that contain miRNA targets and genuine functional miRNA targets appear to reside in distinct mutually exclusive territories within 3'UTRs; (ii) Alus have tight secondary structure that may limit access to the miRNA machinery; and (iii) A-to-I editing of Alu-derived mRNA sequences may divert miRNA targets. The combination of these features is proposed to allow toleration of Alu insertions into mRNAs. Nonetheless, a subset of miRNA targets within Alus appears not to possess any of the aforementioned features, and thus may represent cases where Alu insertion in the genome has introduced novel functional miRNA targets. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Yonit Hoffman, Dvir Dahary, Debora Rosa Bublik, Moshe Oren, Yitzhak Pilpel |
Bioinform. | 1 |