Distinctive microRNA expression signatures in proton-irradiated mice

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Distinctive microRNA expression signatures in proton-irradiated mice Shahid Yar Khan Muhammad Akram Tariq James Patrick Perrott Christopher Drew Brumbaugh Hyunsung John Kim Muhammad Imran Shabbir Govindarajan T. Ramesh Nader Pourmand Received: 16 April 2013 / Accepted: 14 June 2013 / Published online: 2 July 2013 Ó Springer Science+Business Media New York 2013 Abstract Proton particles comprise the most abundant ionizing radiation (IR) in outer space. These high energy particles are known to cause frequent double- and single- stranded DNA lesions that can lead to cancer and tumor formation. Understanding the mechanism of cellular response to proton-derived IR is vital for determining health risks to astronauts during space missions. Our understanding of the consequences of these high energy charged particles on microRNA (miRNA) regulation is still in infancy. miRNAs are non-coding, single-stranded RNAs of *22 nucleotides that constitute a novel class of gene regulators. They regulate diverse biological processes, and each miRNA can control hundreds of gene targets. To investigate the effect of proton radiation on these master regulators, we examined the miRNA expression in selected mice organs that had been exposed to whole-body proton irradiation (2 Gy), and compared this to control mice (0 Gy exposure). RNA was isolated from three tissues (testis, brain, and liver) from treated and control mice and sub- jected to high-throughput small RNA sequencing. Bioin- formatics analysis of small RNA sequencing data revealed dysregulation of (p \ 0.05; 20 up- and 10 down-regulated) 14 mouse testis, 8 liver, and 8 brain miRNAs. The statis- tically significant and unique miRNA expression pattern found among three different proton-treated mouse tissues indicates a tissue-specific response to proton radiation. In addition to known miRNAs, sequencing revealed differ- ential expression of 11 miRNAs in proton-irradiated mice that have not been previously reported in association with radiation exposure and cancer. The dysregulation of miR- NAs on exposure to proton radiation suggest a possible mechanism of proton particles involvement in the onset of cell tumorgenesis. In summary, we have established that specific miRNAs are vulnerable to proton radiation, that such differential expression profile may depend upon the tissue, and that there are more miRNAs affected by proton radiation than have been previously observed. Keywords miRNA Differential expression Proton radiation Mice Introduction The space radiation environment consists mainly of trap- ped particle radiation, solar particle radiation, galactic cosmic radiation (GCR), and also ionizing radiation (IR). IR is a well-known modality used in cancer treatment that also induces oxidative genotoxic stress. It is known that IR causes cellular damage by either directly damaging DNA, or by the formation of free radicals [1]. Among IR, protons S. Y. Khan M. A. Tariq J. P. Perrott C. D. Brumbaugh H. J. Kim M. I. Shabbir N. Pourmand (&) Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA e-mail: [email protected]; [email protected] M. A. Tariq Center for Bionanotechnology and Environmental Research, Texas Southern University, Houston, TX 77004, USA Present Address: M. I. Shabbir Department of Bioinformatics and Biotechnology, Faculty of Basic Applied Sciences, International Islamic University, Sector H10, Islamabad, Pakistan G. T. Ramesh Molecular Toxicology Laboratory, Center for Biotechnology and Biomedical Sciences, Norfolk State University, 700 Park Avenue, Norfolk, VA 23504, USA 123 Mol Cell Biochem (2013) 382:225–235 DOI 10.1007/s11010-013-1738-z

Transcript of Distinctive microRNA expression signatures in proton-irradiated mice

Distinctive microRNA expression signatures in proton-irradiatedmice

Shahid Yar Khan • Muhammad Akram Tariq • James Patrick Perrott •

Christopher Drew Brumbaugh • Hyunsung John Kim •

Muhammad Imran Shabbir • Govindarajan T. Ramesh •

Nader Pourmand

Received: 16 April 2013 / Accepted: 14 June 2013 / Published online: 2 July 2013

� Springer Science+Business Media New York 2013

Abstract Proton particles comprise the most abundant

ionizing radiation (IR) in outer space. These high energy

particles are known to cause frequent double- and single-

stranded DNA lesions that can lead to cancer and tumor

formation. Understanding the mechanism of cellular

response to proton-derived IR is vital for determining

health risks to astronauts during space missions. Our

understanding of the consequences of these high energy

charged particles on microRNA (miRNA) regulation is still

in infancy. miRNAs are non-coding, single-stranded RNAs

of *22 nucleotides that constitute a novel class of gene

regulators. They regulate diverse biological processes, and

each miRNA can control hundreds of gene targets. To

investigate the effect of proton radiation on these master

regulators, we examined the miRNA expression in selected

mice organs that had been exposed to whole-body proton

irradiation (2 Gy), and compared this to control mice (0 Gy

exposure). RNA was isolated from three tissues (testis,

brain, and liver) from treated and control mice and sub-

jected to high-throughput small RNA sequencing. Bioin-

formatics analysis of small RNA sequencing data revealed

dysregulation of (p \ 0.05; 20 up- and 10 down-regulated)

14 mouse testis, 8 liver, and 8 brain miRNAs. The statis-

tically significant and unique miRNA expression pattern

found among three different proton-treated mouse tissues

indicates a tissue-specific response to proton radiation. In

addition to known miRNAs, sequencing revealed differ-

ential expression of 11 miRNAs in proton-irradiated mice

that have not been previously reported in association with

radiation exposure and cancer. The dysregulation of miR-

NAs on exposure to proton radiation suggest a possible

mechanism of proton particles involvement in the onset of

cell tumorgenesis. In summary, we have established that

specific miRNAs are vulnerable to proton radiation, that

such differential expression profile may depend upon the

tissue, and that there are more miRNAs affected by proton

radiation than have been previously observed.

Keywords miRNA � Differential expression �Proton radiation � Mice

Introduction

The space radiation environment consists mainly of trap-

ped particle radiation, solar particle radiation, galactic

cosmic radiation (GCR), and also ionizing radiation (IR).

IR is a well-known modality used in cancer treatment that

also induces oxidative genotoxic stress. It is known that IR

causes cellular damage by either directly damaging DNA,

or by the formation of free radicals [1]. Among IR, protons

S. Y. Khan � M. A. Tariq � J. P. Perrott �C. D. Brumbaugh � H. J. Kim � M. I. Shabbir �N. Pourmand (&)

Department of Biomolecular Engineering, University

of California Santa Cruz, Santa Cruz, CA 95064, USA

e-mail: [email protected]; [email protected]

M. A. Tariq

Center for Bionanotechnology and Environmental Research,

Texas Southern University, Houston, TX 77004, USA

Present Address:

M. I. Shabbir

Department of Bioinformatics and Biotechnology, Faculty

of Basic Applied Sciences, International Islamic University,

Sector H10, Islamabad, Pakistan

G. T. Ramesh

Molecular Toxicology Laboratory, Center for Biotechnology

and Biomedical Sciences, Norfolk State University,

700 Park Avenue, Norfolk, VA 23504, USA

123

Mol Cell Biochem (2013) 382:225–235

DOI 10.1007/s11010-013-1738-z

particles represent the largest fraction (85 %) of GCRs and

the understanding of the biological effects of high energy

protons is important in the neoplastic transformation that

can lead to cancer. A limited number of studies have been

performed to evaluate the impact of proton radiations on

the induction of neoplastic transformation in biological

systems. Recently, Sorokina and co-authors studied the role

of proton and c-radiation in the formation of double-

stranded breaks (DSB). They showed that protons and

X-rays at 2 Gy dose rate induced very similar number of c-

H2AX and 53BP1 foci in human umbilical vein cells [2]

and revealed that the biological effects of proton radiation

are similar to the effects of c-radiation and other low-linear

energy transfer (LET) radiation [2]. In another study, HeLa

6 skin fibroblast human hybrid cells were used for the

estimation of neoplastic transformation frequencies using

different proton doses (5–600 mGy) [3]. They showed

increase in transformation efficiency at doses of 100 and

300 mGy and significant neoplastic transformation fre-

quency was observed at 600 mGy proton radiation dose

[3]. Based on these recent findings, it is clear that a

molecular understanding of proton radiation role in cancer

initiation is vital for space exploration missions and safe

radiation therapies for cancer treatment.

IR can induce mRNA transcriptional changes and

aberrant expression of a variety of non-coding small RNA

in cells. Among these non-coding small RNAs, microRNA

(miRNA) plays a supremely important role in gene regu-

lation through the repression of target genes. Approxi-

mately, 60 % of human protein-coding genes are predicted

to contain miRNA binding sites within un-translated

regions (UTRs) [4]. It has been shown in some studies that

the levels of miRNAs change in response to IRs [5] and

also that miRNAs play an important role in cellular defense

[6, 7].

Several miRNAs have been previously reported as

important players in cancer biology as well as in IR-

induced changes in mouse and human cell lines. In litera-

ture, the up-regulation of miR-100 in mouse plasma after

whole-body c-irradiation (0.5, 2, and 10 Gy), in human

malignant glioma cells and in psoriasis, an autoimmune

disease has been reported [8–10]. In another study, up-

regulation of miR-100 has been shown to down-regulate the

expression of ataxia telangiectasia-mutated (ATM) in

human malignant glioma cells (M059J), which in turn

causes an increased sensitivity to IR [9]. It should also be

noted that the down-regulation of miR-100 was found in

human prostate cancer and normal fibroblast cell lines

exposed to IR/X-rays as compared to the up-regulation in

response to proton radiation [1, 11]. In human tumor

pathology, miR-100 was found to be up-regulated in acute

myeloblastic leukemia (AML) [12] and down-regulated in

some cancers like low-grade bladder cancer, oral cancer,

ovarian cancer, and hepatocellular carcinomas [13–16].

Another miRNA, miR-205, has been previously observed

to be up-regulated in cervical cancer tissues, head and neck

cancer cell lines, squamous cell carcinoma cell lines, and

non-small cell lung cancers [17–23] and down-regulated in

prostate cancer [24, 25]. Several studies have revealed

heterogeneity of miR-205 expression among different

breast cancer subtypes [26–30].

Two independent studies showed the over-expression of

let-7d in normal human fibroblast cell lines exposed to

X-ray (200 cGy/min) treatment, in human dermal micro-

vascular endothelial cells (HDMEC) irradiated with 2 Gy

photon radiation and in c-radiation-treated human thyroid

cells [1, 31, 32]. In another study, irradiation of normal

human lung epithelial line (CRL2741) along with three

lung cancer cell lines (A549, A427 (carcinoma), and

H4441 (adenocarcinoma)) revealed a down-regulation of

let-7 [33]. Three microarray-based cancer experiments

using human tissue also revealed let-7d up-regulation

in lung cancer and down-regulation in pancreatic cancer

[34–37]. In human cancer, miR-423-3p over-expression has

been found in head and neck squamous cell carcinoma

(HNSCC) patients [38], metastatic breast cancer patients

[39], in metastatic neuroblastoma (NB), and hepatocellular

carcinoma tissue (HCC) [40, 41].

Recently, two independent studies reported the down-

regulation of miR-451 in human non-small cell lung car-

cinoma (NSCLC) and gastric and colorectal cancer [42–44]

and significant over-expression of miR-451 among non-

relapsed and relapsed patients with HNSCCs [38].

MiR-146b has been previously found to be up-regulated

in adult papillary thyroid carcinomas (PTCs) with extra-

thyroidal invasion and BRAF mutation and in c-radiation-

treated human thyroid cells [45–49]. While down-regula-

tion of miR-146b in mouse plasma was reported following

whole-body c-radiation [8]. Furthermore, microarray and

qPCR analysis revealed a higher expression of miR-146b in

a murine model of acute and chronic asthma [50].

Recently, Wang and co-workers [42] reported a signif-

icant role of miR-138 on IR-induced DNA damage pathway

by targeting histone H2AX in a human osteosarcoma cell

line [51]. The miR-138 up-regulation and down-regulation

revealed a correlation with chromosomal instability and

cellular sensitivity to DNA-damaging agents [51]. The

down-regulation of miR-138 was also observed in ana-

plastic thyroid carcinoma (ATC) as compared to PTC cell

lines, in which the down-regulation of miR-138 has also

been associated with enhanced telomerase reverse trans-

criptase (TERT) expression [52]. Similarly, reduced miR-

138 level is also associated with enhanced cell growth and

invasion in HNSCC [53, 54].

Furthermore, up-regulation of miR-99b was also repor-

ted in mouse plasma after 2 Gy c-radiation [8]. In human

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tumor pathology, miR-99b was up-regulated in patients

with synovial sarcoma [55] and in older adults with

primary melanoma [56]. miRNA expression profiling

revealed a down-regulation of miR-409-5p in human brain

tumor [57], while in another recent study, Nikiforova

reported c-irradiated (1.0 or 10 Gy) human thyroid cells

revealing a high expression of miR-409-5p [32]. Up-regu-

lation of miR-409-5p was also observed in glioblastomas

(GBM) as compared to oligodendrogliomas (ODG) [57],

while a down-regulation of miR-409-5p was observed for

mouse model of Rett syndrome, an X-linked neurological

inherited disorder [58].

Despite the growing evidence of the differential expres-

sion of miRNAs in response to IR [5, 6, 59], little is known

about miRNA response to proton radiation in humans and

mice. Therefore, we sought to examine the effect of proton

irradiation on whole mice with respect to the possible

involvement of miRNA in the onset of cell tumorgenesis. To

this end, we analyzed the global miRNA expression profile in

the brain, liver, and radiation-sensitive testis tissue of proton-

irradiated mice. Our results show that proton radiation can

dysregulated miRNA levels in these three tissues and reveal a

potential pathway by which proton irradiation could induce

pathogenic mutations in miRNA that could lead to cancer.

While further studies are required to define a comprehensive

understanding of tissue-specific miRNA expression profiles

in response to proton radiation, these results show promise

for the possibility that miRNA expression profiles may one

day be useful as diagnostic markers.

Results

MicroRNA expression profiling

In this study, we employed a mouse model to analyze and

compare differential expression of miRNA in brain, liver,

and testis tissues induced by high energy, whole-body

radiation exposure. Eight mice were divided in two groups,

a non-irradiated ‘control’ (group 1) and an irradiated

‘exposed’ group (group 2). Four biological replicates were

used for the control four were used for exposed samples for

brain and testis tissues. These tissues were chosen because

they represent a highly protected tissue (brain) and a highly

sensitive tissue (testis). In the course of study, we recog-

nized that liver tissues would provide a possible interme-

diate exposure and began to collect those data as well. For

liver tissue, therefore, only two biological replicates are

presented for each of the control and exposed samples. The

Illumina HiSeq was used to generate small RNA reads

(2 9 50 bp) isolated from brain, liver, and testis of proton-

irradiated and non-irradiated mice for comprehensive

miRNA differential expression analysis.

Approximately, 87.47, 43.65, and 81.17 million small

RNA reads were obtained for brain, liver, and testis,

respectively (Fig. 1). Out of these total mapped small RNA

reads, 14.71 million (16.79 %) brain miRNA, 1.90 million

(4.59 %) liver miRNA, and 2.71 million (3.27 %) testis

miRNA were obtained after alignment against known

mouse miRNA with 0 mismatches (miRBase revision 17,

http://www.mirbase.org/). We observed a high proportion

(13.67 million; 8.99 %) of testis small RNA reads mapped

to Piwi-interacting RNA (piRNA). A surprisingly large

fraction of reads (28 million; 4.47 % in brain; 4.43 % in

liver and 4.32 % in testes) did not map to any known small

RNA moiety in brain, liver, and testis tissues (Fig. 1).

DESeq software was used for the differential expression

analysis of miRNA data obtained from high-throughput

sequencing. For analysis, strict parameters were used

including higher ‘‘fold change’’ and a p value lower than

0.05. Analysis revealed 30 differentially expressed miRNA

in three mouse tissues (Table 1; Fig. 2).

Mouse brain microRNA differential expression

Cluster analysis revealed a significant dysregulation of eight

miRNAs in proton-irradiated mouse brain tissue compared to

non-irradiated brain tissue (Fig. 2a). The miRNA expression

data showed a good correlation among the four controls and

among the four treated brain biological replicates (0.95 for

0 Gy and 0.95 for 2 Gy). Among these differentially expres-

sed miRNA, one down-regulated (miR3076-3p) and seven up-

regulated (miR-409-5p, miR-205, miR-100, miR-501-3p, miR-

99b, miR-674* and miR-412-5p) miRNAs were observed

(Table 1; Fig. 2a).

Mouse testis microRNA differential expression

We also identified 14 testis miRNAs from the DESeq

analysis that we considered to be differentially expressed

by irradiation at a dose of 2 Gy (Fig. 2b). The miRNA

expression data showed a good correlation among the four

controls and also among the four treated biological repli-

cates (0.90 for 0 Gy and 0.89 for 2 Gy). Among these

differentially expressed miRNA, seven up-regulated (miR-

409-5p, miR-146b, miR-501-3p, miR-99b, let-7d*, miR-

423-3p and miR-720) and seven down-regulated (miR-

1247*, miR-712, miR-467d*, miR-451, miR-138, miR-872*

and miR-497) miRNAs were found (Table 1; Fig. 2b).

Mouse liver microRNA differential expression

Bioinformatics analysis also revealed differential expres-

sion of eight miRNAs among treated and control liver

tissue (Fig. 2c). The miRNA expression data showed a

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good correlation between the two controls and also the two

proton-treated biological replicates (0.88 for 0 Gy and 0.86

for 2 Gy). Among these differentially expressed miRNA,

two down-regulated (miR-3473b and miR-10b) and six

up-regulated (miR-3470b, miR-3470a, miR-690, miR-150,

miR-374 and miR-127) miRNAs were observed (Table 1;

Fig. 2c).

Mouse brain, testis, and liver microRNA editing

We performed alignments of mature miRNA reads with

one mismatch to find out miRNA editing patterns in mouse

control (0 Gy) and proton-treated (2 Gy) brain, testis, and

liver tissues. We used only high quality reads and align-

ment of at least 10 reads to remove false positive miRNA

editing events. Approximately, 5.11 % of total reads hav-

ing a single mismatch in mature miRNA reads were

mapped (Fig. 3). We observed a high frequency of single

mismatch reads in brain (*5.61 %) and testis (*4.2 %)

tissues and slightly lower frequency of mismatch in liver

tissues (*2.5 %). We analyzed the frequencies of all

possible single-base substitutions, with particular focus on

the cytosine deamination (C?U (C?T) conversion) and

adenosine deamination (A?I (A?G) conversion).

We observed 24.7, 13.87, and 7.6 % single mismatch

frequencies for T?A, C?T, and A?G substitutions in

brain mature miRNA. We also identified a dominant ratio

(*45.5 %) for A?G single-base substitution in the seed

region of mature brain miRNA (Fig. 3a, b). Liver mature

miRNA reads revealed a higher frequency of C?T

(18.81 %) and A?G (5.22 %) in all substitutions. The

single-base pair mismatch analysis of the seed region

revealed a higher frequency for A?G (12.5 %) as com-

pared to C?T (8.0 %) (Fig. 3a, b). The single mismatch

alignment of testis miRNA reads revealed a higher fraction

of different substitutions. We observed over-representation

of T?A, T?C, A?G, and C?T substitutions, which

accounted for 24.70, 13.92, 12.02, and 8.78 % of single

Fig. 1 Pie charts illustrating the frequency of different non-coding

RNA species. a Pie chart representing brain non-coding RNA

frequencies. Small RNA sequencing revealed a high frequency

(19.86 and 16.79 %) for small nucleolar RNA (snoRNA) and

microRNA (miRNA), respectively, in brain tissue. b Pie chart

representing non-coding RNA frequencies for testes. Small RNA

sequencing revealed a high frequency (21.70 and 8.99 %) for

snoRNA and Piwi-interacting RNA (piRNA), respectively. c Pie

chart showing the liver non-coding RNA frequencies. Small RNA

sequencing revealed a high frequency (20.73 and 5.40 %) for

snoRNA and transfer RNA (tRNA), respectively. Small non-messen-

ger RNA (snmRNA); small cajal body specific RNA (scaRNA); small

nuclear RNA (snRNA); robosomal RNA (rRNA)

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mismatch reads, respectively (Fig. 3a, b). We did not

observe any significant differences in miRNA editing fre-

quencies among control (0 Gy) and proton-irradiated

(2 Gy) mouse brain, liver, and testis tissues (Fig. 3a, b).

Discussion

Mouse whole-body proton irradiation (2 Gy) revealed a

significant dysregulation of miRNA in the three tissues

examined (brain, liver, and testis). To approximate the

maximum dose that astronauts may receive from Solar

Particle Events during space missions [60, 61], we used a

2 Gy dose of proton radiation that is equivalent to this

exposure. The tissues used were selected on the basis of

their sensitivity to IR, with brain being the least sensitive,

liver as moderate, and testis as the most sensitive. This

study of selected tissues provides a glimpse of tissue

specificity and sensitivity, as well as several newly iden-

tified, miRNAs whose expression levels change in response

to proton radiation exposure.

Brain differentially expressed miRNA

Mouse brain tissue exposed to 2 Gy proton radiation

treatment revealed a significant up-regulation of seven

miRNAs and down-regulation of one miRNA. Interest-

ingly, we observed an entirely new miRNA expression

profile in proton-irradiated mice brain tissue, which dif-

fered from that observed by Koturbash and co-workers

[62]. This phenomenon suggests a unique miRNA signa-

ture, exclusive to brain tissue that is expressed only in

response to X-ray and proton radiation exposure. The dif-

ference among differentially expressed miRNA can be

attributed to both the radiation dose (1 Gy by Koturbash vs

2 Gy in our study) and the platform used for analysis

(microarray vs next generation sequencing).

Overall, we identified eight dysregulated miRNAs in

proton-irradiated mouse brain and out of these 8, 4 miR-

NAs (miR-99b, miR-100, miR-501-3p and miR-409-5p)

have previously been shown to be dysregulated after

exposure to IR in mice and various human cell lines (see

‘‘Introduction’’ section). The four novel miRNAs whose

expression changed in response to proton irradiation in

mice deserve further study to determine their roles in

IR-induced DNA damage, which could lead to a better

understanding of cancer pathogenesis and ultimately to

earlier diagnosis or new treatments.

Testis differentially expressed miRNA

Small RNA sequencing of testis tissue revealed significant

dysregulation of 14 miRNA (7 up-regulated and 7 down-

regulated). Perplexingly, we did not find any overlap

between these differentially expressed miRNAs and those

identified in a previous microarray study of differential

expression of miRNA in X-ray irradiated mouse testis [63].

The differences observed among differentially expressed

miRNAs may be attributable to the type (X-ray vs proton)

and dose of radiation (2.5 vs 2 Gy) as well as possible

skewing by the analysis platform used (microarray vs next

generation sequencing).

Table 1 MicroRNA species differentially expressed in mouse brain,

liver, and testis after exposure to proton radiation (2 Gy)

MicroRNA Fold change p value

Brain

mmu-miR-409-5pa 4.842 0.000

mmu-miR-205 3.072 0.021

mmu-miR-100 2.530 0.013

mmu-miR-501-3pa 2.380 0.010

mmu-miR-99ba 2.270 0.003

mmu-miR-674b 1.845 0.028

mmu-miR-412-5p 1.546 0.046

mmu-miR-3076-3p 0.064 0.009

Testis

mmu-miR-409-5pa 3.796 0.014

mmu-miR-146b 2.668 0.042

mmu-miR-501-3pa 2.360 0.017

mmu-miR-99ba 2.186 0.035

mmu-let-7db 2.016 0.001

mmu-miR-423-3p 1.780 0.004

mmu-miR-720 1.548 0.046

mmu-miR-1247b 0.000 0.039

mmu-miR-712 0.282 0.035

mmu-miR-467db 0.475 0.023

mmu-miR-451 0.514 0.002

mmu-miR-138 0.543 0.005

mmu-miR-872b 0.600 0.023

mmu-miR-497 0.606 0.017

Liver

mmu-miR-3470b 5.857 0.000

mmu-miR-3470a 5.115 0.001

mmu-miR-690 3.937 0.009

mmu-miR-150 3.014 0.011

mmu-miR-374 2.662 0.050

mmu-miR-127 1.756 0.030

mmu-miR-3473b Inf 0.003

mmu-miR-10b 0.755 0.031

a Indicates the overlapping microRNA expressing among brain and

testis tissuesb Indicates an miRNA expressed at low levels relative to the miRNA

in the opposite arm of a hairpin

Mol Cell Biochem (2013) 382:225–235 229

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Here, we report a significant up-regulation (2.0-fold

change) of mmu-let-7d* a let-7 family member in response

to proton radiation. These results correlate well with a

variety of previously observed changes in let-7 family

genes upon exposure to radiation [1, 31–37]. The second

most highly expressed miRNA found in exposed testis

tissue was miR-146b (fold change-2.66). In our analysis,

we also observed up-regulation (1.7-fold change) of miR-

423-3p following proton irradiation in mice, which sug-

gests a possible role in cell cycle and growth. Together

with previous reports, these findings suggest that miR-423-

3p might function as an oncogenic miRNA in HCC and

other cancers [38–41].

In this study, we identified that miR-451 showed low

expression (fold change 0.51) in proton-treated mouse testis,

consistent with reports of its dysregulation in various cancers

[38, 41, 44]. In our hands, down-regulation (0.54-fold change)

of miR-138 was found in proton-irradiated mouse testis. As

described above, extensive work has implicated that radiation-

induced damage to miR-138 expression correlates with DNA

damage, damage pathways, and pathogenic conditions [51].

The down-regulation of miR-497 observed here in proton-

irradiated mouse testis tissue is consistent with a similar

observation in adrenocortical carcinoma (ACC), human

breast cancer tissue and cell lines, colon, prostate, ovarian,

gastric, lung cancers, multidrug-resistant human gastric can-

cer cell line (SGC7901/VCR) and a multidrug-resistant

human lung cancer cell line (A549/CDDP) [64–69].

Other mouse testis miRNAs found to be differentially

expressed on exposure to proton irradiation in this study,

four down-regulated (miR-1247*, miR-712, miR-467d*,

and miR-872*) and one up-regulated (miR-720), have not

been previously reported in association with radiation

exposure and cancer.

Fig. 2 Differentially expressed miRNAs in mouse control (0 Gy) and

proton-irradiated (2 Gy) brain, liver, and testis tissues. MicroRNA

found to be differentially expressed after exposure to 2 Gy of proton

radiation in at least one tissue are represented as rows in this heat

map. Each sample was exposed to 0 or 2 Gy radiation as indicated by

sample labels. The final digit of the sample label refers to the replicate

number. The color of each box represents the expression level of an

miRNA in a given sample, where green represents low expression and

red represents high expression. The expression of each miRNA is

normalized within each tissue type. Orange boxes delineate groups of

miRNAs found to be over expressed within that tissue type while

those in purple boxes were found to be under expressed. Three

miRNAs were found to be over expressed in both brain and testis.

a Samples from brain tissues, labeled MB. b Samples from testis

tissues, labeled MT. c Samples from liver tissues, labeled ML. (Color

figure online)

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Overlapping dysregulated miRNAs in brain and testis

Three same miRNAs were observed to be dysregulated

against proton irradiations in mice brain and testis tissues.

The miR-99b over-expression in mouse brain and testis is

consistent with up-regulation in mouse plasma after 2 Gy

c-radiation [8], in synovial sarcoma patients [55] and in

older adults with primary melanoma [55]. The highest up-

regulation of miRNA (miR-409-5p) was found in both

brain and testis tissues of proton-irradiated mice, in keep-

ing with previous reports of dysregulation of miR-409-5p

in a variety of neurological cancers [32, 57, 58] but with

unknown implications for cancers related to testis tissue.

Over-expression of miR-501-3p (with more than a twofold

change) was observed in proton-irradiated mouse brain and

testis. This is in keeping with recently reported up-regu-

lation of miR-501-3p in mouse plasma after whole-body

2 Gy c-irradiation [8].

Liver differentially expressed miRNA

Small RNA sequencing of proton-irradiated mouse liver tis-

sue revealed significant dysregulation of eight miRNAs (6 up-

regulated and 2 down-regulated). MiR-150, a hematopoietic

specific miRNA, important in B and T lymphocytes differ-

entiation showed up-regulation in proton-irradiated mouse

liver, a finding that is consistent with similar observations in

gastric cancer, hepatoblastoma, osteosarcoma samples and

non-small cell lung cancer [70–74]. Down-regulation of miR-

150 was found for Natural Killer/T-cell lymphoma, malignant

pancreatic tissues and small cell lung cancer [74–76].

MiR-127, a putative tumor suppressor, was also found to

be up-regulated (fold change 1.75) in proton-irradiated

mouse liver. By contrast, Wagner-Ecker et al. [31] found

down-regulation of miR-127 in response to 2 Gy photon

radiation in HDMEC [31]. In human tumor pathology,

miR-127 was previously found to be up-regulated in lymph

node metastasis [77], Epstein-Barr virus EBV-positive

Burkitt lymphoma (BL) [78] and down-regulated in a

methyl-deficient rat model of liver carcinogenesis [79]. We

observed higher expression of miR-374 (2.66-fold change)

in proton-irradiated mouse liver, which is consistent with

previously observed up-regulation in three small cell lung

cancer cell lines (HTB-184, HTB-172, and H69) [74].

In this study, down-regulation (0.75-fold change) of

miR-10b was found in proton-irradiated mouse liver, which

is consistent with down-regulation of miR-10b in breast

cancer and in genetically engineered mouse (GEM) models

of human breast cancer [27, 80]. Similarly, Ma et al. [81]

reported a down-regulation of miR-10b in human and

mouse primary breast cancer and higher expression in

metastasis breast cancer [81].

Out of the eight miRNAs that we observed to be

dysregulated in proton-irradiated mouse liver, one down-

regulated miRNA (miR-3473b) and three up-regulated

miRNAs (miR-3470b, miR-3470a, and miR-690) have not

Fig. 3 MicroRNA editing pattern in control (0 Gy) and proton-irradiated (2 Gy) mouse brain, liver, and testis tissues. a Single-base pair

substitutions or miRNA editing frequencies in full-length mature miRNAs b miRNA editing frequencies in mature miRNA seed regions

Mol Cell Biochem (2013) 382:225–235 231

123

been previously reported in association with radiation

exposure and cancer.

Editing of brain, liver, and testis miRNA

Post-transcriptional modification or editing of mammalian

primary-miRNAs (pri-miRNA) has a large impact on

processing and functionality of mature miRNAs and thus

affects expression and regulation of target genes [82, 83].

Efficient target mRNAs regulation requires a perfect base-

pairing of seed region (2–8 nucleotides) from the 50-end of

mature miRNA [84]. The editing events within the highly

conserved seed sequence can increase and decreases the

specificity as well as the numbers of target genes [82, 83,

85]. In this study, mature miRNA showed higher adenosine

deamination (A?I) frequency in mouse brain. The higher

adenosine deamination phenomenon can be attributed to

the brain-specific expression of the mammalian adenosine

deaminases (ADARs) responsible for A?I editing. We

observed a *6.0 % higher A?G substitution frequency in

the seed region than the full-length mature miRNA

(Fig. 3a, b). In contrast, the frequency of C?T substitu-

tions in the seed region was *3.0 % lower when compared

to mature miRNA (Fig. 3a, b). Similarly to brain miRNA,

we observed a *2.5 % increase in the A?G substitution

ratio and a *2.5 % decline in the C?T substitution ratio

for the seed region as compared to mature miRNA in liver

tissue (Fig. 3a, b). Previously, Joyce et al. [10] demon-

strated through deep sequencing of human psoriasis skin

that a higher frequency of adenosine deamination and a

lower frequency of cytosine deamination occurred in the

seed region as compared to mature miRNA [10]. In testis

miRNA reads, we observed a lower frequency of A?G

and C?T substitutions in mature miRNA sequence as well

as in the seed region. Meanwhile, we observed higher

frequencies (24.70 and 16.5 %) for T?A and T?C sub-

stitutions in full-length mature miRNA as well as the seed

region (Fig. 3a, b). The functional significance of miRNAs

A?I editing catalyzed by adenosine deaminases has been

proven in various research [83, 86]. Tissue specific A?I

editing within the seed region of mature hsa-miR-376

cluster transcript can lead to modifications in the target

recognition of mRNA targets in some tissues [83].

Conclusion

Deep sequencing of small RNA species revealed a unique

miRNA expression signature and post-transcriptional

modification for each tissue (brain, lever, and testis) from

whole-body proton-irradiated mice. To date, there have

been limited studies showing the response of these three

cell-types on miRNA expression following low doses of

proton radiation. All three tissues assessed in this study

showed differentially expressed profiles, with testis, the

most sensitive tissue, showing the greatest number of

responding miRNAs. Overall, this study has identified

several miRNAs that may be associated with tumorgenesis

in direct response from proton radiation. Further validation

and characterization studies on these altered miRNAs

could be helpful in elucidating the cellular and genetic

changes induced by proton irradiation, and in understand-

ing possible links between proton irradiation and cancer.

Materials and methods

Samples and tissues

Balb/C male mice were purchased from Harlan Laboratories

Inc. (Livermore, USA). The mice were irradiated with

protons after proper resting for 2 days at the Loma Linda

University Radiation Facility (Loma Linda, CA). Mice in

Group 1 served as a control (0 Gy), while mice in Group 2

were exposed (2 Gy) to a proton source at a dose rate of

1Gev/45 s. The controls and irradiated mice were eutha-

nized 4 h after exposure; brain, liver, and testis tissues were

then dissected out and immediately frozen in liquid nitrogen.

The animal care and treatment procedures were reviewed

and approved by the Institutional Animal Care and Use

Committees (IACUC) at the Loma Linda radiation facility.

RNA isolation and small RNA library preparation

for microRNAs

Total RNA was extracted from tissues (brain, liver, and

testis) using Trizol reagent (Invitrogen; Carlsbad, CA) per

manufacturer’s instructions. After passing quality controls

(quantification and quality check by Agilent 2100 Bioan-

alyzer), 1 lg of total RNA, without selection of small

RNAs, was used directly in Illumina TruSeq Small RNA

Sample Prep Kits (Catalog # RS-200-0012) to prepare

libraries for the three different tissues as well as controls.

Four biological replicates were used for brain and testis

tissue, while due to availability issue, only two biological

replicate were used for liver tissue. The quality of libraries

was determined on the Agilent 2100 Bioanalyzer (Agilent;

Palo Alto, CA) per manufacturer’s recommendation.

MicroRNAs sequencing

The bar-coded small RNA libraries for each irradiated and

non-irradiated mouse tissue (brain, liver, and testis)

including biological replicates were pooled together in

equal concentrations in one pool for sequencing analysis.

The pooled libraries were subjected to pair-end (2 9 50

232 Mol Cell Biochem (2013) 382:225–235

123

bp) sequencing using two different lanes on the HiSeq

2000 (Illumina, Inc) to analyze differential miRNAs

expression patterns.

Mapping and differential expression of microRNAs

sequencing data

The miRNA expression data was generated from two

Illumina HiSeq runs merged together to account for the

lack of counts identified from a single HiSeq run. For each

run, the paired end reads were first merged using SeqPrep

(https://github.com/jstjohn/SeqPrep) and then cleaned up

by removing any TruSeq adapters identified. After the

reads were merged, the data was filtered such that only the

size range for known mouse miRNAs from miRBase

revision 17 [87] remained. Bowtie [88] with miRBase v17

was run with no mismatches to identify mature miRNA

counts from the Illumina HiSeq data. Counts from both of

the runs were added together. Statistically significant

miRNAs for each tissue were identified using DESeq [89]

development version (R-devel build 09/01/2011) by

selecting for an unadjusted p value \0.05.

MicroRNA editing analysis

Possible RNA editing events were identified by looking for

substituted bases in Bowtie aligned reads. Mature miRNAs

from miRBase (revision 17, http://www.mirbase.org) were

used as a reference and a single substitution was allowed

during alignment. Observed substitution rates were gener-

ated separately for control (0 Gy) and proton-irradiated

(2 Gy) tissues by dividing the number reads aligning to

miRNAs which contained one substitution by the total

number of aligned reads (i.e. reads containing zero or one

substitutions).

Acknowledgments This study was supported in part by grants from

the National Aeronautics and Space Administration Cooperative

Agreements NCC9-165 and NNX08BA47A, National Institutes of

Health [P01-HG000205], the National Science Foundation [DBI

0830141].

References

1. Simone NL, Soule BP, Ly D, Saleh AD, Savage JE, Degraff W et al

(2009) Ionizing radiation-induced oxidative stress alters miRNA

expression. PLoS One 4:e6377. doi:10.1371/journal.pone.0006377

2. Sorokina S, Markova E, Gursky J, Dobrovodsky J, Belyaev I

(2013) Relative biological efficiency of protons at low and

therapeutic doses in induction of 53BP1/c-H2AX foci in lym-

phocytes from umbilical cord blood. Int J Radiat Biol. May 22.

[Epub ahead of print]

3. Elmore E, Lao XY, Kapadia R, Swete M, Redpath JL (2011)

Neoplastic transformation in vitro by mixed beams of high-energy

iron ions and protons. Radiat Res. 176(3):291–302 Epub 2011 Jul 6

4. Friedman RC, Farh KK, Burge CB, Bartel DP (2009) Most

mammalian mRNAs are conserved targets of microRNAs. Gen-

ome Res 19:92–105. doi:10.1101/gr.082701.108

5. Dickey JS, Zemp FJ, Martin OA, Kovalchuk O (2011) The role of

miRNA in the direct and indirect effects of ionizing radiation.

Radiat Environ Biophys 50:491–499. doi:10.1007/s00411-011-

0386-5

6. Ilnytskyy Y, Koturbash I, Kovalchuk O (2009) Radiation-induced

bystander effects in vivo are epigenetically regulated in a tissue-specific

manner. Environ Mol Mutagen 50:105–113. doi:10.1002/em.20440

7. Maes OC, An J, Sarojini H, Wu H, Wang E (2008) Changes in

microRNA expression patterns in human fibroblasts after low-LET

radiation. J Cell Biochem 105:824–834. doi:10.1002/jcb.21878

8. Cui W, Ma J, Wang Y, Biswal S (2011) Plasma miRNA as bio-

markers for assessment of total-body radiation exposure dosime-

try. PLoS One 6:e22988. doi:10.1371/journal.pone.0022988

9. Ng WL, Yan D, Zhang X, Mo YY, Wang Y (2010) Over-

expression of miR-100 is responsible for the low-expression of

ATM in the human glioma cell line: M059J. DNA Repair (Amst)

9:1170–1175. doi:10.1016/j.dnarep.2010.08.007

10. Joyce CE, Zhou X, Xia J, Ryan C, Thrash B, Menter A, Zhang W

et al (2011) Deep sequencing of small RNAs from human skin

reveals major alterations in the psoriasis miRNAome. Hum Mol

Genet 20:4025–4040. doi:10.1093/hmg/ddr331

11. Josson S, Sung SY, Lao K, Chung LW, Johnstone PA (2008)

Radiation modulation of microRNA in prostate cancer cell lines.

Prostate 68:1599–1606. doi:10.1002/pros.20827

12. Zhang H, Luo XQ, Zhang P, Huang LB, Zheng YS, Wu J, Zhou H

et al (2009) MicroRNA patterns associated with clinical prog-

nostic parameters and CNS relapse prediction in pediatric acute

leukemia. PLoS One 4:e7826. doi:10.1371/journal.pone.0007826

13. Catto JW, Miah S, Owen HC, Bryant H, Myers K, Dudziec E et al

(2009) Distinct microRNA alterations characterize high and low-

grade bladder cancer. Cancer Res 69:8472–8481. doi:10.1158/

0008-5472.CAN-09-0744

14. Henson BJ, Bhattacharjee S, O’Dee DM, Feingold E, Gollin SM

(2009) Decreased expression of miR-125b and miR-100 in oral

cancer cells contributes to malignancy. Genes Chromosomes

Cancer 48:569–582. doi:10.1002/gcc.20666

15. Yang H, Kong W, He L, Zhao JJ, O’Donnell JD, Wang J et al (2008)

MicroRNA expression profiling in human ovarian cancer: miR-214

induces cell survival and cisplatin resistance by targeting PTEN.

Cancer Res 68:425–433. doi:10.1158/0008-5472.CAN-07-2488

16. Thorgeirsson SS (2011) The almighty MYC: orchestrating the

micro-RNA universe to generate aggressive liver cancer. J Hep-

atol 55:486–487. doi:10.1016/j.jhep.2011.01.042

17. Jiang J, Lee EJ, Gusev Y, Schmittgen TD (2005) Real-time

expression profiling of microRNA precursors in human cancer cell

lines. Nucleic Acids Res 33:5394–5403. doi:10.1093/nar/gki863

18. Yu J, Ryan DG, Getsios S, Oliveira-Fernandes M, Fatima A,

Lavker RM (2008) MicroRNA-184 antagonizes microRNA-205

to maintain SHIP2 levels in epithelia. Proc Natl Acad Sci USA

105:19300–19305. doi:10.1073/pnas.0803992105

19. Fletcher AM, Heaford AC, Trask DK (2008) Detection of met-

astatic head and neck squamous cell carcinoma using the relative

expression of tissue-specific mir-205. Transl Oncol 1:202–208

20. Childs G, Fazzari M, Kung G, Kawachi N, Brandwein-Gensler

M, McLemore M et al (2009) Low-level expression of microR-

NAs let-7d and miR-205 are prognostic markers of head and neck

squamous cell carcinoma. Am J Pathol 174:736–745. doi:10.2353/

ajpath.2009.080731

21. Gottardo F, Liu CG, Ferracin M, Calin GA, Fassan M, Bassi P

et al (2007) Micro-RNA profiling in kidney and bladder cancers.

Urol Oncol 25:387–392. doi:10.1016/j.urolonc.2007.01.019

22. Wang X, Tang S, Le SY, Lu R, Rader JS, Meyers C et al (2008)

Aberrant expression of oncogenic and tumor-suppressive microRNAs

Mol Cell Biochem (2013) 382:225–235 233

123

in cervical cancer is required for cancer cell growth. PLoS One

3:e2557. doi:10.1371/journal.pone.0002557

23. Markou A, Tsaroucha EG, Kaklamanis L, Fotinou M, Georgou-

lias V, Lianidou ES (2008) Prognostic value of mature microR-

NA-21 and microRNA-205 overexpression in non-small cell lung

cancer by quantitative real-time RT-PCR. Clin Chem 54:

1696–1704. doi:10.1373/clinchem.2007.101741

24. Wszolek MF, Rieger-Christ KM, Kenney PA, Gould JJ, Silva

NB, Lavoie AK et al (2011) A MicroRNA expression profile

defining the invasive bladder tumor phenotype. Urol Oncol 29:

794–801. doi:10.1016/j.urolonc.2009.08.024

25. Schaefer A, Jung M, Mollenkopf HJ, Wagner I, Stephan C,

Jentzmik F et al (2010) Diagnostic and prognostic implications of

microRNA profiling in prostate carcinoma. Int J Cancer 126:

1166–1176. doi:10.1002/ijc.24827

26. Blenkiron C, Goldstein LD, Thorne NP, Spiteri I, Chin SF,

Dunning MJ et al (2007) MicroRNA expression profiling of

human breast cancer identifies new markers of tumor subtype.

Genome Biol 8:R214. doi:10.1186/gb-2007-8-10-r214

27. Iorio MV, Ferracin M, Liu CG, Veronese A, Spizzo R, Sabbioni S et al

(2005) MicroRNA gene expression deregulation in human breast

cancer. Cancer Res 65:7065–7070. doi:10.1158/0008-5472.CAN-

05-1783

28. Mattie MD, Benz CC, Bowers J, Sensinger K, Wong L, Scott GK et al

(2005) Optimized high-throughput microRNA expression profiling

provides novel biomarker assessment of clinical prostate and breast

cancer biopsies. Mol Cancer 5:24. doi:10.1186/1476-4598-5-24

29. Gao W, Shen H, Liu L, Xu J, Xu J, Shu Y (2011) MiR-21

overexpression in human primary squamous cell lung carcinoma

is associated with poor patient prognosis. J Cancer Res Clin

Oncol 137:557–566. doi:10.1007/s00432-010-0918-4

30. Lee ST, Chu K, Im WS, Yoon HJ, Im JY, Park JE et al (2011)

Altered microRNA regulation in Huntington’s disease models.

Exp Neurol 227:172–179. doi:10.1016/j.expneurol.2010.10.012

31. Wagner-Ecker M, Schwager C, Wirkner U, Abdollahi A, Huber PE

(2010) MicroRNA expression after ionizing radiation in human

endothelial cells. Radiat Oncol 5:25. doi:10.1186/1748-717X-5-25

32. Nikiforova MN, Gandhi M, Kelly L, Nikiforov YE (2011)

MicroRNA dysregulation in human thyroid cells following

exposure to ionizing radiation. Thyroid 21:261–266. doi:10.1089/

thy.2010.0376

33. Weidhaas JB, Babar I, Nallur SM, Trang P, Roush S, Boehm M et al

(2007) MicroRNAs as potential agents to alter resistance to cytotoxic

anticancer therapy. Cancer Res 67:11111–11116. doi:10.1158/

0008-5472.CAN-07-2858

34. Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F

et al (2006) A microRNA expression signature of human solid

tumors defines cancer gene targets. Proc Natl Acad Sci USA

103:2257–2261. doi:10.1073/pnas.0510565103

35. Ozen M, Creighton CJ, Ozdemir M, Ittmann M (2008) Wide-

spread deregulation of microRNA expression in human prostate

cancer. Oncogene 27:1788–1793. doi:10.1038/sj.onc.1210809

36. Porkka KP, Pfeiffer MJ, Waltering KK, Vessella RL, Tammela TL,

Visakorpi T (2007) MicroRNA expression profiling in prostate

cancer. Cancer Res 67:6130–6135. doi:10.1158/0008-5472.CAN-

07-0533

37. Ali S, Almhanna K, Chen W, Philip PA, Sarkar FH (2010) Differ-

entially expressed miRNAs in the plasma may provide a molecular

signature for aggressive pancreatic cancer. Am J Transl Res 3:28–47

38. Hui AB, Lenarduzzi M, Krushel T, Waldron L, Pintilie M, Shi W

et al (2010) Comprehensive MicroRNA profiling for head and

neck squamous cell carcinomas. Clin Cancer Res 16:1129–1139.

doi:10.1158/1078-0432.CCR-09-2166

39. Farazi TA, Horlings HM, Ten Hoeve JJ, Mihailovic A, Halfwerk

H, Morozov P et al (2011) MicroRNA sequence and expression

analysis in breast tumors by deep sequencing. Cancer Res

71:4443–4453. doi:10.1158/0008-5472.CAN-11-0608

40. Guo J, Dong Q, Fang Z, Chen X, Lu H, Wang K et al (2010)

Identification of miRNAs that are associated with tumor metas-

tasis in neuroblastoma. Cancer Biol Ther 9:446–452

41. Lin J, Huang S, Wu S, Ding J, Zhao Y, Liang L et al (2011)

MicroRNA-423 promotes cell growth and regulates G(1)/S

transition by targeting p21Cip1/Waf1 in hepatocellular carci-

noma. Carcinogenesis 32:1641–1647. doi:10.1093/carcin/bgr199

42. Wang R, Wang ZX, Yang JS, Pan X, De W, Chen LB (2011)

MicroRNA-451 functions as a tumor suppressor in human non-

small cell lung cancer by targeting ras-related protein 14

(RAB14). Oncogene 30:2644–2658. doi:10.1038/onc.2010.642

43. Bandres E, Bitarte N, Arias F, Agorreta J, Fortes P, Agirre X et al

(2009) MicroRNA-451 regulates macrophage migration inhibitory

factor production and proliferation of gastrointestinal cancer cells. Clin

Cancer Res 15:2281–2290. doi:10.1158/1078-0432.CCR-08-1818

44. Ju X, Li D, Shi Q, Hou H, Sun N, Shen B (2009) Differential

microRNA expression in childhood B-cell precursor acute lym-

phoblastic leukemia. Pediatr Hematol Oncol 26:1–10. doi:10.1080/

08880010802378338

45. Chen YT, Kitabayashi N, Zhou XK, Fahey TJ III, Scognamiglio

T (2008) MicroRNA analysis as a potential diagnostic tool for

papillary thyroid carcinoma. Mod Pathol 21:1139–1146. doi:

10.1038/modpathol.2008.105

46. Pallante P, Visone R, Ferracin M, Ferraro A, Berlingieri MT,

Troncone G et al (2006) MicroRNA deregulation in human thy-

roid papillary carcinomas. Endocr Relat Cancer 13:497–508. doi:

10.1677/erc.1.01209

47. Nikiforova MN, Chiosea SI, Nikiforov YE (2009) MicroRNA

expression profiles in thyroid tumors. Endocr Pathol 20:85–91.

doi:10.1007/s12022-009-9069-z

48. Chou CK, Chen RF, Chou FF, Chang HW, Chen YJ, Lee YF et al

(2010) MiR-146b is highly expressed in adult papillary thyroid

carcinomas with high risk features including extrathyroidal

invasion and the BRAF(V600E) mutation. Thyroid 20:489–494.

doi:10.1089/thy.2009.0027

49. Mazeh H, Mizrahi I, Halle D, Ilyayev N, Stojadinovic A, Trink B

et al (2011) Development of a microRNA-based molecular assay

for the detection of papillary thyroid carcinoma in aspiration

biopsy samples. Thyroid 21:111–118. doi:10.1089/thy.2010.0356

50. Garbacki N, Di VE, Huynh-Thu VA, Geurts P, Irrthum A, Crahay

C et al (2011) MicroRNAs profiling in murine models of acute

and chronic asthma: a relationship with mRNAs targets. PLoS

One 6:e16509. doi:10.1371/journal.pone.0016509

51. Wang Y, Huang JW, Li M, Cavenee WK, Mitchell PS, Zhou X

et al (2011) MicroRNA-138 modulates DNA damage response by

repressing histone H2AX expression. Mol Cancer Res 9:

1100–1111. doi:10.1158/1541-7786.MCR-11-0007

52. Mitomo S, Maesawa C, Ogasawara S, Iwaya T, Shibazaki M,

Yashima-Abo A et al (2008) Downregulation of miR-138 is asso-

ciated with overexpression of human telomerase reverse trans-

criptase protein in human anaplastic thyroid carcinoma cell lines.

Cancer Sci 99:280–286. doi:10.1111/j.1349-7006.2007.00666.x

53. Liu X, Jiang L, Wang A, Yu J, Shi F, Zhou X (2009) MicroRNA-

138 suppresses invasion and promotes apoptosis in head and neck

squamous cell carcinoma cell lines. Cancer Lett 286:217–222.

doi:10.1016/j.canlet.2009.05.030

54. Jiang L, Liu X, Kolokythas A, Yu J, Wang A, Heidbreder CE

et al (2010) Downregulation of the Rho GTPase signaling path-

way is involved in the microRNA-138-mediated inhibition of cell

migration and invasion in tongue squamous cell carcinoma. Int J

Cancer 127:505–512. doi:10.1002/ijc.25320

55. Hisaoka M, Matsuyama A, Nagao Y, Luan L, Kuroda T, Akiy-

ama H et al (2011) Identification of altered MicroRNA expression

234 Mol Cell Biochem (2013) 382:225–235

123

patterns in synovial sarcoma. Genes Chromosomes Cancer

50:137–145. doi:10.1002/gcc.20837

56. Jukic DM, Rao UN, Kelly L, Skaf JS, Drogowski LM, Kirkwood

JM et al (2010) Microrna profiling analysis of differences

between the melanoma of young adults and older adults. J Transl

Med 8:27. doi:10.1186/1479-5876-8-27

57. Lages E, Guttin A, El AM, Ramus C, Ipas H, Dupre I, Rolland D

et al (2011) MicroRNA and target protein patterns reveal phys-

iopathological features of glioma subtypes. PLoS One 6:e20600.

doi:10.1371/journal.pone.0020600

58. Urdinguio RG, Fernandez AF, Lopez-Nieva P, Rossi S, Huertas

D, Kulis M et al (2010) Disrupted microRNA expression caused

by Mecp2 loss in a mouse model of Rett syndrome. Epigenetics

5:656–663. doi:10.4161/epi.5.7.13055

59. Baluchamy S, Zhang Y, Ravichandran P, Ramesh V, Sodipe A,

Hall JC et al (2010) Differential oxidative stress gene expression

profile in mouse brain after proton exposure. In Vitro Cell Dev

Biol Anim 46:718–725. doi:10.1007/s11626-010-9330-2

60. Shea MA, Smart DF (1994) Significant proton events of solar

cycle 22 and a comparison with events of previous solar cycles.

Adv Space Res 14:631–638

61. Smart DF, Shea MA (2002) A review of solar proton events

during the 22nd solar cycle. Adv Space Res 30:1033–1044

62. Koturbash I, Zemp F, Kolb B, Kovalchuk O (2011) Sex-specific

radiation-induced microRNAome responses in the hippocampus,

cerebellum and frontal cortex in a mouse model. Mutat Res

722:114–118. doi:10.1016/j.mrgentox.2010.05.007

63. Tamminga J, Kathiria P, Koturbash I, Kovalchuk O (2008) DNA

damage-induced upregulation of miR-709 in the germline

downregulates BORIS to counteract aberrant DNA hypomethy-

lation. Cell Cycle 7:3731–3736

64. Ozata DM, Caramuta S, Velazquez-Fernandez D, Akcakaya P,

Xie H, Hoog A et al (2011) The role of microRNA deregulation

in the pathogenesis of adrenocortical carcinoma. Endocr Relat

Cancer 18:643–655. doi:10.1530/ERC-11-0082

65. Li D, Zhao Y, Liu C, Chen X, Qi Y, Jiang Y et al (2011) Analysis

of MiR-195 and MiR-497 expression, regulation and role in breast

cancer. Clin Cancer Res 17:1722–1730. doi:10.1158/1078-0432.

CCR-10-1800

66. Lehmann U, Streichert T, Otto B, Albat C, Hasemeier B,

Christgen H et al (2010) Identification of differentially expressed

microRNAs in human male breast cancer. BMC Cancer 10:109.

doi:10.1186/1471-2407-10-109

67. Guo J, Miao Y, Xiao B, Huan R, Jiang Z, Meng D et al (2009)

Differential expression of microRNA species in human gastric

cancer versus non-tumorous tissues. J Gastroenterol Hepatol

24:652–657. doi:10.1111/j.1440-1746.2008.05666.x

68. Yan LX, Huang XF, Shao Q, Huang MY, Deng L, Wu QL et al

(2008) MicroRNA miR-21 overexpression in human breast can-

cer is associated with advanced clinical stage, lymph node

metastasis and patient poor prognosis. RNA 14:2348–2360. doi:

10.1261/rna.1034808

69. Zhu W, Zhu D, Lu S, Wang T, Wang J, Jiang B et al (2012) MiR-

497 modulates multidrug resistance of human cancer cell lines by

targeting BCL2. Med Oncol 29:384–391. doi:10.1007/s12032-

010-9797-4

70. Wu Q, Jin H, Yang Z, Luo G, Lu Y, Li K et al (2010) MiR-150

promotes gastric cancer proliferation by negatively regulating the

pro-apoptotic gene EGR2. Biochem Biophys Res Commun

392:340–345. doi:10.1016/j.bbrc.2009.12.182

71. Vasilatou D, Papageorgiou S, Pappa V, Papageorgiou E, Derve-

noulas J (2010) The role of microRNAs in normal and malignant

hematopoiesis. Eur J Haematol 84:1–16. doi:10.1111/j.1600-0609.

2009.01348.x

72. Magrelli A, Azzalin G, Salvatore M, Viganotti M, Tosto F,

Colombo T et al (2009) Altered microRNA Expression Patterns

in Hepatoblastoma Patients. Transl Oncol 2:157–163

73. Lulla RR, Costa FF, Bischof JM, Chou PM, de F Vanin M et al

(2011) Identification of Differentially Expressed MicroRNAs in

Osteosarcoma. Sarcoma 732690. doi:10.1155/2011/732690

74. Miko E, Czimmerer Z, Csanky E, Boros G, Buslig J, Dezso B et al

(2009) Differentially expressed microRNAs in small cell lung can-

cer. Exp Lung Res 35:646–664. doi:10.3109/01902140902822312

75. Watanabe A, Tagawa H, Yamashita J, Teshima K, Nara M,

Iwamoto K et al (2011) The role of microRNA-150 as a tumor

suppressor in malignant lymphoma. Leukemia 25:1324–1334.

doi:10.1038/leu.2011.81

76. Srivastava SK, Bhardwaj A, Singh S, Arora S, Wang B, Grizzle

WE et al (2011) MicroRNA-150 directly targets MUC4 and

suppresses growth and malignant behavior of pancreatic cancer

cells. Carcinogenesis 32:1832–1839. doi:10.1093/carcin/bgr223

77. Lee JW, Choi CH, Choi JJ, Park YA, Kim SJ, Hwang SY et al

(2008) Altered MicroRNA expression in cervical carcinomas. Clin

Cancer Res 14:2535–2542. doi:10.1158/1078-0432.CCR-07-1231

78. Leucci E, Onnis A, Cocco M, De FG, Imperatore F, Giuseppina A

et al (2010) B-cell differentiation in EBV-positive Burkitt lym-

phoma is impaired at posttranscriptional level by miRNA-altered

expression. Int J Cancer 126:1316–1326. doi:10.1002/ijc.24655

79. Tryndyak VP, Ross SA, Beland FA, Pogribny IP (2009) Down-

regulation of the microRNAs miR-34a, miR-127, and miR-200b

in rat liver during hepatocarcinogenesis induced by a methyl-

deficient diet. Mol Carcinog 48:479–487. doi:10.1002/mc.20484

80. Zhu M, Yi M, Kim CH, Deng C, Li Y, Medina D et al (2011)

Integrated miRNA and mRNA expression profiling of mouse

mammary tumor models identifies miRNA signatures associated

with mammary tumor lineage. Genome Biol 12:R77. doi:10.1186/

gb-2011-12-8-r77

81. Ma L, Teruya-Feldstein J, Weinberg RA (2007) Tumour invasion

and metastasis initiated by microRNA-10b in breast cancer.

Nature 449:682–688. doi:10.1038/nature06174

82. Heale BS, Keegan LP, McGurk L, Michlewski G, Brindle J,

Stanton CM et al (2009) Editing independent effects of ADARs

on the miRNA/siRNA pathways. EMBO J 28:3145–3156. doi:

10.1038/emboj.2009.244

83. Kawahara Y, Zinshteyn B, Sethupathy P, Iizasa H, Hatzigeorgiou

AG, Nishikura K (2007) Redirection of silencing targets by

adenosine-to-inosine editing of miRNAs. Science 315:1137–1140.

doi:10.1126/science.1138050

84. Bartel DP (2009) MicroRNAs: target recognition and regulatory

functions. Cell 136:215–233. doi:10.1016/j.cell.2009.01.002

85. Gommans WM (2012) A-to-I editing of microRNAs: regulating the

regulators? Semin Cell Dev Biol 23:251–257. doi:10.1016/j.

semcdb.2011.09.018

86. Yang W, Chendrimada TP, Wang Q, Higuchi M, Seeburg PH,

Shiekhattar R et al (2006) Modulation of microRNA processing

and expression through RNA editing by ADAR deaminases. Nat

Struct Mol Biol 13:13–21. doi:10.1038/nsmb1041

87. Kozomara A, Griffiths-Jones S (2011) miRBase: integrating

microRNA annotation and deep-sequencing data. Nucleic Acids

Res 39:D152–D157. doi:10.1093/nar/gkq1027

88. Langmead B, Trapnell C, Pop M, Salzberg SL (2009) Ultrafast

and memory-efficient alignment of short DNA sequences to the

human genome. Genome Biol 10:R25. doi:10.1186/gb-2009-

10-3-r25

89. Anders S, Huber W (2010) Differential expression analysis for

sequence count data. Genome Biol 11:R106. doi:10.1186/gb-2010-

11-10-r106

Mol Cell Biochem (2013) 382:225–235 235

123