TY - JOUR
T1 - A single cell but many different transcripts
T2 - A journey into the world of long non-coding RNAs
AU - Alessio, Enrico
AU - Bonadio, Raphael Severino
AU - Buson, Lisa
AU - Chemello, Francesco
AU - Cagnin, Stefano
N1 - Funding Information:
This manuscript was written tanks to CARIPARO Foundation (FIBRE-GEXP) and the University of Padova (CPDA139317); the Cariplo Foundation (2016–1006); the Italian Ministry of Health (GR-2011-02346845); the AIRC Foundation (Italy project IG2015-ID17773);Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca (ANVUR) [FFABR-2017]; Bando Grandi Attrezzature 2015 University of Padova (Italy) (Prot. 5086).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - In late 2012 it was evidenced that most of the human genome is transcribed but only a small percentage of the transcripts are translated. This observation supported the importance of non-coding RNAs and it was confirmed in several organisms. The most abundant non-translated transcripts are long non-coding RNAs (lncRNAs). In contrast to protein-coding RNAs, they show a more cell-specific expression. To understand the function of lncRNAs, it is fundamental to investigate in which cells they are preferentially expressed and to detect their subcellular localization. Recent improvements of techniques that localize single RNA molecules in tissues like single-cell RNA sequencing and fluorescence amplification methods have given a considerable boost in the knowledge of the lncRNA functions. In recent years, single-cell transcription variability was associated with non-coding RNA expression, revealing this class of RNAs as important transcripts in the cell lineage specification. The purpose of this review is to collect updated information about lncRNA classification and new findings on their function derived from singlecell analysis. We also retained useful for all researchers to describe the methods available for singlecell analysis and the databases collecting single-cell and lncRNA data. Tables are included to schematize, describe, and compare exposed concepts.
AB - In late 2012 it was evidenced that most of the human genome is transcribed but only a small percentage of the transcripts are translated. This observation supported the importance of non-coding RNAs and it was confirmed in several organisms. The most abundant non-translated transcripts are long non-coding RNAs (lncRNAs). In contrast to protein-coding RNAs, they show a more cell-specific expression. To understand the function of lncRNAs, it is fundamental to investigate in which cells they are preferentially expressed and to detect their subcellular localization. Recent improvements of techniques that localize single RNA molecules in tissues like single-cell RNA sequencing and fluorescence amplification methods have given a considerable boost in the knowledge of the lncRNA functions. In recent years, single-cell transcription variability was associated with non-coding RNA expression, revealing this class of RNAs as important transcripts in the cell lineage specification. The purpose of this review is to collect updated information about lncRNA classification and new findings on their function derived from singlecell analysis. We also retained useful for all researchers to describe the methods available for singlecell analysis and the databases collecting single-cell and lncRNA data. Tables are included to schematize, describe, and compare exposed concepts.
KW - LncRNA database
KW - LncRNAs
KW - Long noncoding RNAs
KW - Non-coding RNAs
KW - Single-cell
KW - Single-cell database
KW - Single-cell expression
KW - Single-cell sequencing
UR - http://www.scopus.com/inward/record.url?scp=85077543526&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077543526&partnerID=8YFLogxK
U2 - 10.3390/ijms21010302
DO - 10.3390/ijms21010302
M3 - Review article
C2 - 31906285
AN - SCOPUS:85077543526
SN - 1661-6596
VL - 21
JO - International journal of molecular sciences
JF - International journal of molecular sciences
IS - 1
M1 - 302
ER -