Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer.
Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India; Manipal University, Manipal, Karnataka, India.
Pushpinder
P
Bawa
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Sajna
S
Zackaria
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Mohit
M
Verma
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Saurabh
S
Gupta
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
R
R
Srivatsan
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Bibha
B
Chaudhary
IBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Subhashini
S
Srinivasan
D002886:Chromosomes, Human, Pair 17 / Q000235:genetics; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D052138:Genes, Neoplasm; D056426:Genetic Loci; D006801:Humans; D008297:Male; D005810:Multigene Family; D025341:Principal Component Analysis; D011471:Prostatic Neoplasms / Q000235:genetics*; D062085:RNA, Long Noncoding / Q000235:genetics* / Q000378:metabolism; D015203:Reproducibility of Results; D017423:Sequence Analysis, RNA
D062085:RNA, Long Noncoding