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Giuseppina Pisignano

dblp:246/1776 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-7476-3447ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › RNA biology
non-coding RNA
0.412019
Deciphering the complexity of human non-coding promoter-proximal transcriptome · Bioinform. 2019
Bioinformatics and computational biology › epigenomics
chromatin conformation
0.112019
Deciphering the complexity of human non-coding promoter-proximal transcriptome · Bioinform. 2019
Bioinformatics and computational biology
epigenetics
0.112019
Deciphering the complexity of human non-coding promoter-proximal transcriptome · Bioinform. 2019

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

high-throughput sequencing data integration · 0.4
YearPublicationVenuePosition
2019 Deciphering the complexity of human non-coding promoter-proximal transcriptome
abstract
MOTIVATION: Long non-coding RNAs (lncRNAs) have gained increasing relevance in epigenetic regulation and nuclear functional organization. High-throughput sequencing approaches have revealed frequent non-coding transcription in promoter-proximal regions. However, a comprehensive catalogue of promoter-associated RNAs (paRNAs) and an analysis of the possible interactions with neighboring genes and genomic regulatory elements are missing. RESULTS: Integrating data from multiple cell types and experimental platforms we identified thousands of paRNAs in the human genome. paRNAs are transcribed in both sense and antisense orientation, are mostly non-polyadenylated and retained in the cell nucleus. Transcriptional regulators, epigenetic effectors and activating chromatin marks are enriched in paRNA-positive promoters. Furthermore, paRNA-positive promoters exhibit chromatin signatures of both active promoters and enhancers. Promoters with paRNAs reside preferentially at chromatin loop boundaries, suggesting an involvement in anchor site recognition and chromatin looping. Importantly, these features are independent of the transcriptional state of neighboring genes. Thus, paRNAs may act as cis-regulatory modules with an impact on local recruitment of transcription factors, epigenetic state and chromatin loop organization. This study provides a comprehensive analysis of the promoter-proximal transcriptome and offers novel insights into the roles of paRNAs in epigenetic processes and human diseases. AVAILABILITY AND IMPLEMENTATION: Genomic coordinates of predicted paRNAs are available at https://figshare.com: https://doi.org/10.6084/m9.figshare.7392791.v1 and https://doi.org/10.6084/m9.figshare.4856630.v2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sarah N. Mapelli, Sara Napoli, Giuseppina Pisignano, Ramón García-Escudero, Giuseppina M. Carbone, Carlo V. Catapano
Bioinform.3