Strategies to identify microRNA targets New advances
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Review
RESEARCH PAPER New Biotechnology �Volume 27, Number 6 �December 2010
Strategies to identify microRNA targets:New advancesHongtao Jin1, Wenbin Tuo2, Hai Lian1, Quan Liu1, Xing-Quan Zhu3 and Hongwei Gao1
1 Institute of Military Veterinary, Academy of Military Medical Sciences, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, 1068 Qinglong Road,Changchun 130062, Jilin Province, People’s Republic of China2Animal Parasitic Diseases Laboratory, Animal and Natural Resources Institute, United States Department of Agriculture, Beltsville, MD 20705, USA3 State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, CAAS, Lanzhou 730046, Gansu Province,People’s Republic of China
MicroRNAs (miRNAs) are small regulatory RNA molecules functioning to modulate gene expression at
the post-transcriptional level, and playing an important role in many developmental and physiological
processes. Ten thousand miRNAs have been discovered in various organisms. Although considerable
progress has been made in computational methodology to identify miRNA targets, most predicted
miRNA targets may be false positive. Due to the lack of effective tools to identify miRNA targets, the study
of miRNAs is seriously retarded. In recent years, some molecular cloning strategies of miRNA targets have
been developed, including RT-PCR using miRNAs as endogenous primers, labeled miRNA pull-down
assay (LAMP) and RNA ligase-mediated amplification of cDNA end (RLM-RACE). The identified miRNA
targets should be further validated via effects of miRNA alteration on the target protein levels and
bioactivity. This review summarizes advances in strategies to identify miRNA targets and methods by
which miRNA targets are validated.
Contents
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
Bioinformatics prediction of miRNA targets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
Molecular cloning of miRNA targets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
RT-PCR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
Labeled miRNA pull-down assay (LAMP) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
RNA ligase-mediated amplification of cDNA end (RLM-RACE) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735
Other methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736
Functional validation of miRNA targets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736
Over-expression of miRNA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736
Loss-of-function of miRNA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736
Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737
Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737
References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737
Corresponding authors: Liu, Q. ([email protected]), Gao, H. ([email protected])
734 www.elsevier.com/locate/nbt 1871-6784/$ - see front matter � 2010 Elsevier B.V. All rights reserved. doi:10.1016/j.nbt.2010.09.006
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New Biotechnology �Volume 27, Number 6 �December 2010 REVIEW
Review
IntroductionMicroRNAs (miRNAs) are short non-coding RNAs that play impor-
tant roles in gene regulation during physiological or disease-asso-
ciated processes by specifically suppressing the translation of
target genes by binding to the mRNAs. MiRNAs are transcribed
by RNA polymerase II or III in larger precursors as primary miRNAs
(pri-miRNAs) containing characteristic stem-loop structures that
are processed in the nucleus by a complex of the RNase III enzyme
Drosha [1,2]. Drosha products are about 65-nt long hairpins (pre-
miRNAs), which are exported into the cytoplasm by Exportin-5
and Ran-GTP, where they are cleaved by the RNase III enzyme
Dicer to release the mature miRNAs that are RNA duplexes of about
22-nt in length [3,4]. One strand of the duplex (miR strand) is
selectively loaded onto an argonaute protein (Ago), the RNA-
induced silencing complex (RISC) is formed and can now bind
to, and repress target mRNAs containing sites of partially com-
plementary to the miRNA [5,6]. These miRNAs perform a variety of
significant functions for cell such as growth, metabolism, devel-
opment, and cell differentiation [7,8].
The first miRNAs found in Caenorhabditis elegans are lin-4 and
let-7, which control the developmental timing by regulating
translation of their respective targets [9,10]. miR-1 and miR-133
modulate muscle gene expression and sarcomeric actin organiza-
tion in zebrafish [11]. In mice, miR-21 plays a role in tumor
growth, invasion and metastasis by targeting at multiple tumor/
metastasis suppressor genes, including programmed cell death 4
(PDCD4) and maspin [12,13]. miR-1 regulates cardiomyocyte
apoptosis by post-transcriptional repression of Bcl-2 [14]. miR-
124a regulates human IkappaBzeta, which is involved in the fine-
tuning of NF-kappaB-mediated gene expression [15]. In herpes-
virus, including human cytomegalovirus (HCMV), Kaposi’s sar-
coma-associated herpesvirus (KSHV), and Epstein-Barr virus (EBV),
miRNAs function to target at the stress-induced immune ligand
MICB to escape recognition by natural killer cells [16]. Only a few
examples are mentioned here, and there are many more miRNA
functions, which cannot be described in this paper.
Up to now, an estimated 9539 mature miRNAs have been found
in animals, plants and viruses (http://microrna.sanger.ac.uk/
sequences/), and miRNAs are estimated to account for about 1–
2% of the known eukaryotic genes, and regulate at least 30% of
genes in animals, which has not been experimentally proven yet
[17].
Computational analysis suggests that a single miRNA could
regulate more than 200 mRNAs and that a single mRNA may be
regulated by multiple miRNAs [18]. However, only a few miRNAs
targets have been identified by biological methods.
Bioinformatics prediction of miRNA targetsSome computational programs based on sequence alignment,
including TargetScanS, PicTar, and miRanda, have been developed
to predict miRNA targets [19–21]. However, these methods have
their inherent limitations. Firstly, computational approaches have
been successful in plants, due to the perfect complementarity
between miRNAs and mRNA targets. In animals, however, the
miRNA/mRNA is usually less complementary, making it inaccu-
rate to predict target sites. Secondly, conventional sequence align-
ment usually requires longer sequences, and the short sequence
makes it difficult to rank and score targets. Therefore, the com-
monly used sequence analysis tools appear to be relatively less
useful to predict miRNA target [22]. Thirdly, it would not seem to
be realistic for a single miRNA to regulate hundreds of targets, and
effective regulation of translation from transcripts may require
miRNAs and their targets to be located in the same cellular
compartments. Hence, most of these theoretical targets may be
false [23]. Finally, 30-UTR data are very limited, making it difficult
to predict miRNA targets.
Molecular cloning of miRNA targetsRT-PCRMiRNA can be used as a primer for direct synthesis of the target
cDNA because it is completely or partially complementary to the
30-end of its target mRNA, and form a temporarily stable complex,
which can initiate cDNA synthesis in cases of weak complemen-
tarity between the 30-end of the miRNA and the target mRNA. The
resultant cDNA, with miRNA on its 50-end, can be easily cloned
and sequenced [24,25].
The method contains two rounds of reverse transcription. The
first is performed on an mRNA template using miRNAs as the
endogenous cytoplasmic primer, which can extend miRNA and
overcome the problem of low complementary binding of miRNAs
to their targets. The second is performed on purified hybrid 30-
cDNA–miRNA-50 molecules (primeRNA), which can anneal to
target mRNA in a highly gene-specific manner, and increase the
length of cDNA for detection [24].
Labeled miRNA pull-down assay (LAMP)LAMP is a simple, direct and cost-effective approach to identify
miRNA targets in vitro. The precursor miRNA (pre-miRNA) is
synthesized in vitro, labeled with digoxigenin (DIG), and mixed
with cell extracts. The endogenous Dicer in cell extract processes
the pre-miRNA and produces mature miRNA in vitro. The DIG-
labeled miRNA then binds to its target gene(s) in cell extract,
presumably through the endogenous RNA-induced silencing com-
plex (RISC). The DIG-miRNA–target mRNA complex is precipi-
tated by anti-DIG antiserum. The isolated miRNA-specific mRNA is
reverse transcribed, and the total cDNAs are amplified, subcloned
and sequenced [26].
Compared to the conventional bioinformatics approach, the
LAMP assay has its advantages. Firstly, there is no need to have a
complete and genome-wide database of 30-UTR. Secondly, the
cDNA array is not necessarily required for LAMP analysis, which
is particularly important to study certain organism without cDNA
array. Finally, compared with the conventional microarray ana-
lysis, the LAMP assay is relatively simple to perform and specific for
isolation of miRNA targets from cell extracts [26]. However, DIG
label may influence Dicer processing or strand selection, and there
are some non-specific amplifications using LAMP to identify target
genes of miRNAs, which may result from random ligation of the
primers used in RT-PCR, or non-specific binding between target
mRNA and RISC.
RNA ligase-mediated amplification of cDNA end (RLM-RACE)This strategy is designed to isolate the pre-miRNA cleavage pro-
ducts from biological samples. Poly(A)+ RNA is ligated to the RNA
adapter and reverse transcribed using an oligo(dT) primer. Synth-
esis of the second strand of cDNA is directed from an oligonucleo-
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REVIEW New Biotechnology �Volume 27, Number 6 �December 2010
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tide primer complementary to the RNA adapter containing the
sequence for the bacteriophage T7 promoter. Synthesized double-
stranded cDNA is subjected to in vitro transcription with T7 RNA
polymerase, allowing linear amplification of cDNA containing the
ligated adapter. In vitro transcribed RNA is used as a template for
the synthesis of single-stranded cDNA, and the resulting cDNA is
biotinylated and hybridized to a transcriptome microarray.
Since RNA adapter and/or T7-oligonucleotide may anneal non-
specifically to RNA and cDNA, increasing the background signal,
negative controls consisting of cDNA populations, in which the
RNA adapter is included, but not ligated to 50 cleaved transcripts,
are used in an attempt to identify background hybridization
[27,28].
This method identifies miRNA targets by T7-mediated amplifi-
cation and microarray hybridization. The T7 RNA polymerase
amplification allows enrichment of mRNA targets, increasing
the sensitivity for target detection. Subtraction of negative control
hybridization signals from those of the enriched cDNAs greatly
reduces non-specific signals as a result of binding to non-target
mRNAs, minimizing the number of false positives. In addition, the
use of biological replicates reduces variability and increases sta-
tistical confidence. One of the disadvantages of RLM-RACE strat-
egy is that it does not discriminate between miRNA and siRNA
cleavage products, since both RNA species contain ligation-com-
petent 50 monophosphates [29].
Other methodsThere are some techniques to purify microribonucleoprotein
(miRNP) complexes associated with miRNAs and mRNA targets.
For example, isolation of miRNA/mRNA complexes by immuno-
purification of Ago1-containing protein complexes using anti-
influenza protein hemagglutinin (HA) antibody in Drosophila
melanogaster expressing functional HA epitope tagged Ago1 [30],
purification of RISC by Ago2-coimmunoprecipitation approach
combined with microarray analysis of mRNAs [31], imunopreci-
pitation of Ago-bound mRNAs using specific monoclonal antibo-
dies against the Ago protein family [32], affinity purification of
AIN-1 and AIN-2, other RISC associated proteins using correspond-
ing antibody [33], ribonucleoprotein immunoprecipitation-gene
chip (RIP-Chip) using antibodies against wild-type human Ago2 in
Hodgkin lymphoma cell lines [34]. These approaches allow the
analysis of the complete transcriptome for miRNA targets, and
permit more direct identification of physiologically relevant
miRNA targets.
The cross-linking and immunoprecipitation assays (CLIP), a
method for identifying protein–RNA interaction sites in living
cells, have also been used for miRNA target identification recently
[35,36]. This method exploits UV-irradiation to covalently cross-
link RNA–protein complexes, allowing them to be stringently
purified using immunoprecipitation. RNA fragments resulted from
digested complexes can be sequenced by high throughput meth-
ods. However, CLIP is limited by the low efficiency of UV 254 nm
RNA–protein cross-linking, and the location of the crosslink is not
readily identifiable within the sequenced crosslinked fragments,
making it difficult to separate UV-crosslinked target RNA segments
from background non-crosslinked RNA fragments. So an improved
method, called photoactivatable-ribonucleoside-enhanced cross-
linking and immunoprecipitation (PAR-CLIP) has been developed,
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in which 4-thiouridine is incorporated into transcripts of cultured
cells and the RNA-binding protein (RBP) binding sites can be
identified by scoring for thymidine to cytidine transitions in
the sequenced cDNA [37,38].
Functional validation of miRNA targetsIf an mRNA is a true target of a miRNA, change of miRNA should
have predictable effects on target protein. The typical approach to
validate the functional importance of a miRNA target is a transient
over-expression of a given miRNA in a cell, and the target protein
levels and bioactivity are determined [39,40].
Over-expression of miRNAOver-expressed miRNA can be performed by transfection with
chemically synthesized ds-RNA precursors in vitro, which may
imitate endogenous miRNAs. Due to their small size and directly
introduction into cells by transfection, they can be easier to deliver
and use in dosage response studies than vectors [41,42]. Long-term
studies request numerous miRNA, which can be produced by
miRNA expression plasmids and viral vectors. The design of
miRNA expression constructs is relatively simple. miRNAs are
transcribed by RNA polymerase II, and their primary transcripts
contain a cap and poly(A) tail. Introducing miRNA sequences
flanked by at least 40-nt from their precursor into DNA plasmids
is necessary to yield mature miRNAs [43]. Such constructs are
being widely used in cultured cells. In order to overcome the
low transfection efficiency of miRNA expression plasmids in pri-
mary cells, adenovirus-, adeno-associated virus-, and lentivirus-
delivered system have been developed [44–46].
The reporter system is usually be used to validate the functions
of miRNA, whose rationale is that binding of miRNA to its specific
mRNA will repress reporter protein expression and the altered
miRNA will increase or decrease reporter protein expression level.
The experimental approach is to clone the 30-UTR of the candidate
target gene immediately downstream of the reporter gene open
reading frame (ORF) sequence to generate the reporter construct.
The reporter construct and a miRNA of interest are then transiently
transfected into host cells. Thereafter, the reporter gene is detected
24–48 h after transfection [47,48].
Loss-of-function of miRNADue to possible mis-expression of mRNAs, which may result from
low expression of the endogenous miRNA or spatial differences
between the miRNA and its target, results of over-expression
should be further confirmed by loss-of-function experiments [49].
Gene knockout and antisense technologies are used to silence
miRNA function. Knockout of the miRNA processing gene Dicer1
can cause deficiency of all mature miRNAs, and knockout of
miRNA genes and mutation of miRNA target sites in protein-
encoding genes can interrupt miRNA-mediated gene regulation
[50,51]. However, conditional inactivation of Dicer cannot define
the exact role of a single miRNA. In such a case, it is necessary to
restore the expression of specific miRNAs.
Oligoribonucleotides complementary to miRNA, for example,
20-O-methyl-modified oligoribonucleotides and cholesterol-con-
jugated single-stranded RNAs (antagomirs), can inhibit miRNA
expression [52–55]. The 20-O-methyl modifications act as irrever-
sible, stoichiometric inhibitors of small RNA function. Antagomirs
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New Biotechnology �Volume 27, Number 6 �December 2010 REVIEW
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are stabilized with a phosphorothioate backbone with several
sulfates and 20-O-methyl modification. Antagomirs are also mod-
ified at the 20 carbon (at least some nucleotides). An alternative
strategy to target miRNAs in vivo has recently been reported using
antisense oligonucleotides (ASOs), which are unconjugated single-
stranded RNAs carrying phosphorothioate backbone and 20-O-
methoxyethyl modification [56,57].
Locked nucleic acids (LNAs) are a class of conformationally
restricted nucleotide analogs, whose incorporation in an oligo-
nucleotide increases the affinity of that oligonucleotide for
its complementary RNA or DNA target, and can be used to
modify oligoribonucleotides to silence miRNA expression
[58,59].
Recently, miRNA sponges have been used as miRNA inhibitors,
which are transcripts expressed from strong promoters (RNA poly-
merase II promoter), containing multiple, tandem miRNA binding
sites in its 30-UTR, allowing to soak up miRNA and relieve its targets
from binding of miRNA [60,61]. When vectors encoding these
sponges are transiently transfected into cultured cells, sponges
depress miRNA targets as strongly as chemically modified anti-
sense oligonucleotides. This new tool has several advantages, such
as the possibility to express the inhibitor in conjunction with
reporter genes, making it easy to sort sponge-treated cells. In
addition, the expression of sponges from stably integrated trans-
genes can be used to explore tissue-specific miRNA functions in
vivo [62].
SummaryMiRNAs are important regulators of cell growth, differentiation,
and apoptosis, and dysregulation of miRNA function may lead to
certain diseases. It is critically important to be able to identify and
validate miRNA targets. Due to high false predicted miRNA targets,
all kinds of molecular cloning of miRNA targets have been devel-
oped. However, the exact mechanism of miRNA-mediated repres-
sion is still debated and it is not known how miRNA-mediated
mRNA destabilization and translational repression, and some
genes may be repressed on the protein level without being affected
on the mRNA level. Many proteomic methods should be produced
to complement present DNA strategies in the future, and the wider
availability of experimentally validated miRNA targets and their
action mechanisms will certainly permit more reliable computa-
tional predictions. A high throughput strategy for miRNA func-
tional validation is also needed. We also expect that more and
more functional roles of disease-specific miRNAs will be elucidated
and novel therapeutic strategies be developed.
AcknowledgementsThis work was supported by grants from the National Key
Technology R&D Program in China (Grant No. 2010BAD04B01),
the National Natural Science Foundation of China (Grant No.
30972178), and ‘‘Gold Idea’’ foundation of Institute of Military
Veterinary, Academy of Military Medical Sciences (Grant No.
YCX0901).
References
1 Kim, V.N. (2005) MicroRNA biogenesis: coordinated cropping and dicing. Nat. Rev.
Mol. Cell Biol. 6, 376–385
2 Borchert, G.M. et al. (2006) RNA polymerase III transcribes human microRNAs.
Nat. Struct. Mol. Biol. 13, 1097–1101
3 Kim, V.N. (2004) MicroRNA precursors in motion: exportin-5 mediates their
nuclear export. Trends Cell Biol. 14, 156–159
4 Carthew, R.W. and Sontheimer, E.J. (2009) Origins and mechanisms of miRNAs
and siRNAs. Cell 136, 642–655
5 Ronemus, M. et al. (2006) MicroRNA-targeted and small interfering RNA-mediated
mRNA degradation is regulated by argonaute, dicer, and RNA-dependent RNA
polymerase in Arabidopsis. Plant Cell 18, 1559–1574
6 Ding, X.C. et al. (2009) Regulating the regulators: mechanisms controlling the
maturation of microRNAs. Trends Biotechnol. 27, 27–36
7 Wienholds, E. and Plasterk, R.H. (2005) MicroRNA function in animal
development. FEBS Lett. 579, 5911–5922
8 Du, T. and Zamore, P.D. (2007) Beginning to understand microRNA function. Cell
Res. 17, 661–663
9 Moss, E.G. et al. (1997) The cold shock domain protein LIN-28 controls
developmental timing in C. elegans and is regulated by the lin-4 RNA. Cell 88, 637–
646
10 Olsen, P.H. and Ambros, V. (1999) The lin-4 regulatory RNA controls
developmental timing in Caenorhabditis elegans by blocking LIN-14 protein
synthesis after the initiation of translation. Dev. Biol. 216, 671–680
11 Mishima, Y. et al. (2009) Zebrafish miR-1 and miR-133 shape muscle gene
expression and regulate sarcomeric actin organization. Genes Dev. 23, 619–632
12 Zhu, S. et al. (2008) MicroRNA-21 targets tumor suppressor genes in invasion and
metastasis. Cell Res. 18, 350–359
13 Lu, Z. et al. (2008) MicroRNA-21 promotes cell transformation by targeting the
programmed cell death 4 gene. Oncogene 27, 4373–4379
14 Nasser, M.W. et al. (2008) Down-regulation of micro-RNA-1 (miR-1) in lung
cancer. Suppression of tumorigenic property of lung cancer cells and their
sensitization to doxorubicin-induced apoptosis by miR-1. J. Biol. Chem. 283,
33394–33405
15 Lindenblatt, C. et al. (2009) IkappaBzeta expression is regulated by miR-124a. Cell
Cycle 8, 2019–2023
16 Nachmani, D. et al. (2009) Diverse herpesvirus microRNAs target the stress-
induced immune ligand MICB to escape recognition by natural killer cells. Cell
Host Microbe 5, 376–385
17 Lewis, B.P. et al. (2003) Prediction of mammalian microRNA targets. Cell 115, 787–
798
18 Barbato, C. et al. (2009) Computational challenges in miRNA target predictions: to
be or not to be a true target? J. Biomed. Biotechnol. 2009, 803069
19 Yang, Y. et al. (2008) MiRTif: a support vector machine-based microRNA target
interaction filter. BMC Bioinformatics 12, S4
20 Ruan, J. et al. (2008) HuMiTar: a sequence-based method for prediction of human
microRNA targets. Algorithms Mol. Biol. 3, 16
21 Nam, S. et al. (2008) miRGator: an integrated system for functional annotation of
microRNAs. Nucleic Acids Res. 36, D159–164
22 Wang, X. et al. (2005) MicroRNA identification based on sequence and structure
alignment. Bioinformatics 21, 3610–3614
23 Watanabe, Y. et al. (2007) Computational methods for microRNA target
prediction. Methods Enzymol. 427, 65–86
24 Vatolin, S. et al. (2006) A novel method to detect functional microRNA targets. J.
Mol. Biol. 358, 983–996
25 Matz, M. et al. (1999) Amplification of cDNA ends based on template-switching
effect and step-out PCR. Nucleic Acids Res. 27, 1558–1560
26 Hsu, R.J. et al. (2009) Labeled microRNA pull-down assay system: an experimental
approach for high-throughput identification of microRNA-target mRNAs. Nucleic
Acids Res. 37, e77
27 Liu, X. and Gorovsky, M.A. (1993) Mapping the 5’ and 3’ ends of Tetrahymena
thermophila mRNAs using RNA ligase mediated amplification of cDNA ends (RLM-
RACE). Nucleic Acids Res. 21, 4954–4960
28 Franco-Zorrilla, J.M. et al. (2009) Genome-wide identification of small RNA targets
based on target enrichment and microarray hybridizations. Plant J. 59, 840–850
29 Ruby, J.G. et al. (2006) Large-scale sequencing reveals 21U-RNAs and additional
microRNAs and endogenous siRNAs in C. elegans. Cell 127, 1193–1207
30 Easow, G. et al. (2007) Isolation of microRNA targets by miRNP
immunopurification. RNA 13, 1198–1204
31 Karginov, F.V. et al. (2007) A biochemical approach to identifying microRNA
targets. Proc. Natl. Acad. Sci. U.S.A. 104, 19291–19296
www.elsevier.com/locate/nbt 737
![Page 5: Strategies to identify microRNA targets New advances](https://reader035.fdocuments.net/reader035/viewer/2022081816/5451fba5af79590c308b4a99/html5/thumbnails/5.jpg)
REVIEW New Biotechnology �Volume 27, Number 6 �December 2010
Review
32 Beitzinger, M. et al. (2007) Identification of human microRNA targets from isolated
argonaute protein complexes. RNA Biol. 4, 76–84
33 Zhang, L. et al. (2007) Systematic identification of C. elegans miRISC proteins,
miRNAs, and mRNA targets by their interactions with GW182 proteins AIN-1 and
AIN-2. Mol. Cell 28, 598–613
34 Tan, L.P. et al. (2009) A high throughput experimental approach to identify
miRNA targets in human cells. Nucleic Acids Res. 37, e137
35 Ule, J. et al. (2005) CLIP: a method for identifying protein-RNA interaction sites in
living cells. Methods 37, 376–386
36 Chi, S.W. (2009) Argonaute HITS-CLIP decodes microRNA-mRNA interaction
maps. Nature 460, 479–486
37 Jungkamp, A.C. et al. (2010) PAR-CliP-a method to identify transcriptome-wide
the binding sites of RNA binding proteins. J. Vis. Exp. 2 pii:2034, doi:10.3791/
2034
38 Hafner, M. et al. (2010) Transcriptome-wide identification of RNA-binding protein
and microRNA target sites by PAR-CLIP. Cell 141, 129–141
39 Wu, F. et al. (2008) MicroRNAs are differentially expressed in ulcerative colitis and
alter expression of macrophage inflammatory peptide-2 alpha. Gastroenterology
135, 1624–1635
40 Esau, C. et al. (2006) miR-122 regulation of lipid metabolism revealed by in vivo
antisense targeting. Cell Metab. 3, 87–98
41 Qiu, R. et al. (2009) Misexpression of miR-196a induces eye anomaly in Xenopus
laevis. Brain Res. Bull. 79, 26–31
42 Harris, T.A. et al. (2008) MicroRNA-126 regulates endothelial expression of
vascular cell adhesion molecule 1. Proc. Natl. Acad. Sci. U.S.A. 105, 1516–1521
43 Chen, S. et al. (2007) Construction and identification of a human liver specific
microRNA eukaryotic expression vector. Cell Mol. Immunol. 4, 473–477
44 Huang, A. et al. (2004) Functional silencing of hepatic microsomal glucose-6-
phosphatase gene expression in vivo by adenovirus-mediated delivery of short
hairpin RNA. FEBS Lett. 558, 69–73
45 Kato, Y. et al. (2010) A lentiviral vector encoding two fluorescent proteins enables
imaging of adenoviral infection via adenovirus-encoded miRNAs in single living
cells. J. Biochem. 147, 63–71
738 www.elsevier.com/locate/nbt
46 Donsante, A. et al. (2007) AAV vector integration sites in mouse hepatocellular
carcinoma. Science 317, 477
47 Jiang, Q. et al. (2009) Systematic validation of predicted microRNAs for cyclin D1.
BMC Cancer 9, 194
48 Kuhn, D.E. et al. (2008) Experimental validation of miRNA targets. Methods 44, 47–54
49 Gennarino, V.A. et al. (2009) MicroRNA target prediction by expression analysis of
host genes. Genome Res. 19, 481–490
50 Sekine, S. et al. (2009) Disruption of Dicer1 induces dysregulated fetal gene
expression and promotes hepatocarcinogenesis. Gastroenterology 136, 2304–2315
51 Nagaraja, A.K. et al. (2008) Deletion of Dicer in somatic cells of the female
reproductive tract causes sterility. Mol. Endocrinol. 22, 2336–2352
52 Hutvagner, G. et al. (2004) Sequence-specific inhibition of small RNA function.
PloS Biol. 2, e98
53 Meister, G. et al. (2004) Sequences-specific inhibition of microRNA- and siRNA-
induced RNA silencing. RNA 10, 544–550
54 Berger, E.M. et al. (2005) Inhibition of micro-RNA-induced RNA silencing by 2’-o-
methyloligonucleotides inDrosophila S2cells. In Vitro CellDev.Biol.Anim.41, 12–18
55 Ploner, A. et al. (2009) Methodological obstacles in knocking down small
noncoding RNAs. RNA 15, 1797–1804
56 Davis, S. et al. (2009) Potent inhibition of microRNA in vivo without degradation.
Nucleic Acids Res. 37, 70–77
57 Davis, S. et al. (2006) Improved targeting of miRNA with antisense
oligonucleotides. Nucleic Acids Res. 34, 2294–2304
58 Naguibneva, I. et al. (2006) An LNA-based loss-of-function assay for micro-RNAs.
Biomed. Pharmacother. 60, 633–638
59 Orom, U.A. et al. (2006) LNA-modified oligonucleotides mediate specific
inhibition of microRNA function. Gene 372, 137–141
60 Ebert, M.S. et al. (2007) MicroRNA sponges: competitive inhibitors of small RNAs
in mammalian cells. Nat. Methods 4, 721–726
61 Mattes, J. et al. (2008) Emerging role of microRNAs in disease pathogenesis and
strategies for therapeutic modulation. Curr. Opin. Mol. Ther. 10, 150–157
62 Cohen, S.M. (2009) Use of microRNA sponges to explore tissue-specific microRNA
functions in vivo. Nat. Methods 6, 873–874