Liu et al. BMC Systems Biology 2010, 4:51
http://www.biomedcentral.com/1752-0509/4/51
Open Access RESEARCH ARTICLE
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Research article
Identifying mRNA targets of microRNA
dysregulated in cancer: with application to clear
cell Renal Cell Carcinoma
Huiqing Liu
1,11
, Angela R Brannon
2
, Anupama R Reddy
1
, Gabriela Alexe
3
, Michael W Seiler
1
, Alexandra Arreola
2
,
Jay H Oza
4
, Ming Yao
4
, David Juan
5
, Louis S Liou
5,6
, Shridar Ganesan
4
, Arnold J Levine
7
, WK Rathmell*
2,8
and
Gyan V Bhanot*
1,4,7,9,10
Abstract
Background: MicroRNA regulate mRNA levels in a tissue specific way, either by inducing degradation of the transcript
or by inhibiting translation or transcription. Putative mRNA targets of microRNA identified from seed sequence
matches are available in many databases. However, such matches have a high false positive rate and cannot identify
tissue specificity of regulation.
Results: We describe a simple method to identify direct mRNA targets of microRNA dysregulated in cancers from
expression level measurements in patient matched tumor/normal samples. The word "direct" is used here in a strict
sense to: a) represent mRNA which have an exact seed sequence match to the microRNA in their 3'UTR, b) the seed
sequence match is strictly conserved across mouse, human, rat and dog genomes, c) the mRNA and microRNA
expression levels can distinguish tumor from normal with high significance and d) the microRNA/mRNA expression
levels are strongly and significantly anti-correlated in tumor and/or normal samples. We apply and validate the method
using clear cell Renal Cell Carcinoma (ccRCC) and matched normal kidney samples, limiting our analysis to mRNA
targets which undergo degradation of the mRNA transcript because of a perfect seed sequence match. Dysregulated
microRNA and mRNA are first identified by comparing their expression levels in tumor vs normal samples. Putative
dysregulated microRNA/mRNA pairs are identified from these using seed sequence matches, requiring that the seed
sequence be conserved in human/dog/rat/mouse genomes. These are further pruned by requiring a strong anti-
correlation signature in tumor and/or normal samples. The method revealed many new regulations in ccRCC. For
instance, loss of miR-149, miR-200c and mir-141 causes gain of function of oncogenes (KCNMA1, LOX), VEGFA and
SEMA6A respectively and increased levels of miR-142-3p, miR-185, mir-34a, miR-224, miR-21 cause loss of function of
tumor suppressors LRRC2, PTPN13, SFRP1, ERBB4, and (SLC12A1, TCF21) respectively. We also found strong anti-
correlation between VEGFA and the miR-200 family of microRNA: miR-200a*, 200b, 200c and miR-141. Several identified
microRNA/mRNA pairs were validated on an independent set of matched ccRCC/normal samples. The regulation of
SEMA6A by miR-141 was verified by a transfection assay.
Conclusions: We describe a simple and reliable method to identify direct gene targets of microRNA in any cancer. The
constraints we impose (strong dysregulation signature for microRNA and mRNA levels between tumor/normal
samples, evolutionary conservation of seed sequence and strong anti-correlation of expression levels) remove spurious
matches and identify a subset of robust, tissue specific, functional mRNA targets of dysregulated microRNA.
Background
MicroRNA regulate mRNA and protein levels by cleavage
and/or translation/transcriptional repression in a tissue
specific manner [1-4]. By modulating key cellular pro-
cesses such as metabolism, division, differentiation,
* Correspondence: rathmell@med.unc.edu, gyanbhanot@gmail.com
2
Lineberger Comprehensive Cancer Center, University of North Carolina,
Chapel Hill, NC 27599, USA
2
BioMaPS Institute, Rutgers University, Piscataway, NJ 08854, USA
Full list of author information is available at the end of the article