TY - JOUR
T1 - Strategies to identify natural antisense transcripts
AU - Sun, Yulong
AU - Li, Dijie
AU - Zhang, Ru
AU - Peng, Shang
AU - ZHANG, Ge
AU - Yang, Tuanmin
AU - Qian, Airong
N1 - Funding Information:
We are grateful to the editor and anonymous reviewer for their constructive suggestions for this manuscript. This work was supported by grants from the National Natural Science Foundation of China (Nos. 81401553 and 31370845 ), the Fundamental Research Funds for the Central Universities (No. 3102016ZY040 ), and the Natural Science Basic Research Plan in Shaanxi Province of China (No. 2016JQ8009 ).
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Natural antisense transcripts, originally considered as transcriptional noises arising from so-called “junk DNA″, are recently recognized as important modulators for gene regulation. They are prevalent in nearly all realms of life and have been found to modulate gene expression positively or negatively. By affecting almost all stages of gene expression range from pre-transcriptional, transcriptional and post-transcriptional to translation, NATs are fundamentally involved in various biological processes. However, compared to increasing huge data from transcriptional analysis especially high-throughput sequencing technologies (such as RNA-seq), limited functional NATs (around 70) are so far reported, which hinder our advanced comprehensive understanding for this field. Hence, efficient strategies for identifying NATs are urgently desired. In this review, we discussed the current strategies for identifying NATs, with a focus on the advantages, disadvantages, and applications of methods isolating functional NATs. Moreover, publicly available databases for NATs were also discussed.
AB - Natural antisense transcripts, originally considered as transcriptional noises arising from so-called “junk DNA″, are recently recognized as important modulators for gene regulation. They are prevalent in nearly all realms of life and have been found to modulate gene expression positively or negatively. By affecting almost all stages of gene expression range from pre-transcriptional, transcriptional and post-transcriptional to translation, NATs are fundamentally involved in various biological processes. However, compared to increasing huge data from transcriptional analysis especially high-throughput sequencing technologies (such as RNA-seq), limited functional NATs (around 70) are so far reported, which hinder our advanced comprehensive understanding for this field. Hence, efficient strategies for identifying NATs are urgently desired. In this review, we discussed the current strategies for identifying NATs, with a focus on the advantages, disadvantages, and applications of methods isolating functional NATs. Moreover, publicly available databases for NATs were also discussed.
KW - Long noncoding RNA
KW - Microarray
KW - Natural antisense transcripts
KW - RACE
KW - RNA-ChIP
KW - RNA-Seq
UR - http://www.scopus.com/inward/record.url?scp=85000360944&partnerID=8YFLogxK
U2 - 10.1016/j.biochi.2016.11.006
DO - 10.1016/j.biochi.2016.11.006
M3 - Review article
C2 - 27894947
AN - SCOPUS:85000360944
SN - 0300-9084
VL - 132
SP - 131
EP - 151
JO - Biochimie
JF - Biochimie
ER -