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. Author manuscript; available in PMC: 2009 May 18.
Published in final edited form as: Biochem Biophys Res Commun. 2007 Aug 27;362(4):940–945. doi: 10.1016/j.bbrc.2007.08.077

microRNAs and regeneration: let-7 members as potential regulators of dedifferentiation in lens and inner ear hair cell regeneration of the adult newt

Panagiotis A Tsonis a,*, Mindy K Call a, Matthew W Grogg a, Maureen A Sartor b, Ruth R Taylor c, Andrew Forge c, Robert Fyffe d, Robert Goldenberg e, Richard Cowper-Sallari f, Craig R Tomlinson g
PMCID: PMC2683343  NIHMSID: NIHMS31353  PMID: 17765873

Introduction

Among adult vertebrates, regeneration of body parts and organs is largely restricted to some salamanders [1,2]. These animals can regenerate many body parts including their limbs, hair cells of the inner ear and lateral line, tail (and spinal cord), eye retina and lens. They achieve this by the process of transdifferentiation of terminally differentiated cells at the site of the injury. During this process one cell type changes to another, by dedifferentiating [35]. It is conceivable that such an event may involve global changes in gene expression, implicating a large number of genes [6]. What could then be the regulators of changes of such magnitude?

To provide some answers to these questions we decided to look at the expression profiles of miRNAs during lens and inner ear hair cell regeneration. miRNAs are short RNAs (20–22 nt) which have complementary nucleotide sequences in target mRNAs. By binding to these target sequences miRNAs inhibit protein synthesis [7,8]. Since one miRNA can have target sequences in hundreds of different mRNAs they have been thought to act when rapid global regulation is needed. For example, miR430 can clear hundreds of maternal RNAs during development [9]. Likewise, differentiation of stem cells is linked to distinct miRNA expression [10,11]. Recently, miRNA presence in neoblasts (stem cells in planaria) has been associated with regenerative ability in that invertebrate animal [12]. Based on this work we believe that miRNAs may be key regulators during transdifferentiation, a process that requires regulation of many tissue-specific genes in a short time. To test this hypothesis we performed a microarray analysis of miRNAs during lens regeneration and inner ear hair cell regeneration.

After lentectomy, the dorsal iris pigment epithelial cells (PECs) dedifferentiate and then differentiate to lens-forming cells. Interestingly, the same cells from the ventral iris do not contribute to the process of regeneration [3,4]. After hair cell death due to aminoglycoside antibiotic treatment hair cells are regenerated by transdifferentiation of the supporting cells [13]. This event is mediated by direct transition without cell proliferation. We decided to investigate two different events of regeneration in order to compare possible common regulators. Our results provide strong evidence of association of miRNA expression and regeneration and imply a novel mechanism that might regulate transdifferentiation and regeneration.

Materials and Methods

Microarray analysis

We used mirVana miRNA Bioarrys V2 microarray slides from Ambion (Austin, TX), which contain most of the known mouse and human miRNAs along with others predicted by Ambion. The arrays were probed with RNA isolated from intact dorsal and ventral irises (day 0) and from dorsal and ventral irises taken 8 days after lentectomy. This time was selected because at day 8 the tip of the dorsal iris undergoes the crucial events of dedifferentiation, which will eventually lead to the regeneration of the new lens [3,4]. We then compared differences in the expression between intact dorsal and ventral irises as well as between 8-day dorsal and ventral irises. For hair cell regeneration, we isolated the labyrinths comprising the audutory and vestibular sensory epithelia. After treatment with 2mM gentamicin for 48 hours, the labyrinths were cultured in vitro. We used RNA samples from day 0 (end of antibiotic treatment), day 2, 7 and 12. Regenerated hair cells appear after 18 days in culture, so the period that we selected represents the time window of recovery, when the cells undergo ‘reprogramming’ for transdifferentiation [13].

Data normalization and analysis

The data were analyzed to identify differentially expressed miRNAs between dorsal and ventral tissues (intact or at day-8 post-lentectomy) as well as miRNAs at different times during hair cell regeneration Analyses were performed using R statistical software and the limma Bioconductor package [14]. Data normalization was performed in two steps for each microarray separately [1517]. First, background adjusted intensities were log-transformed and the differences (R) and averages (A) of log-transformed values were calculated as R = log2(X1) − log2(X2) and A = [log2(X1) + log2(X2)]/2, where X1 and X2 denote the Cy5 and Cy3 intensities after subtracting local backgrounds, respectively. Second, normalization was performed by fitting the array-specific local regression model of R as a function of A. Normalized log-intensities for the two channels were then calculated by adding half of the normalized ratio to A for the Cy5 channel and subtracting half of the normalized ratio from A for the Cy3 channel. The statistical analysis was performed for each time point comparison and for each gene separately by fitting the following Analysis of Variance (ANOVA) model [18]: Yijk = ϒ + Ai + Sj + Ck+ ′Ωijk, where Yijk corresponds to the normalized log-intensity on the ith array, with the jth treatment condition, and labeled with the kth dye (k = 1 for Cy5, and 2 for Cy3). μis the overall mean log-intensity, Ai is the effect of the ith array, Sj is the effect of the jth treatment and Ck is the gene-specific effect of the kth dye. Resulting t-statistics for each comparison were modified using an empirical Bayesian moderated-T method [14]. This method uses variance estimates from all genes to improve the variance estimates of each individual gene. Estimates of fold-change and False Discovery Rates (FDR) were calculated [19].

Expression analysis via QPCR

In order to validate the microarray data, we examined the expression of selected miRNAs via QPCR. RNA from dorsal and ventral irises as well as from treated inner ear sensory epithelia was isolated using TRIreagent (Molecular Research Center, Cincinnati, OH) following the manufacturer’s instructions, with the exception that 2 volumes of ethanol were used instead of isopropanol at the precipitation step. QPCR was performed using Ambion’s mirVana qRT-PCR miRNA detection kit and mirVana qRT-PCR Primer Sets for miRNAs. We examined expression of miR148a and let-7. For normalization, Ambion’s mirVana qRT-PCR Primer Set for 5S rRNA was used. Real-time PCR was performed with iCycler (BioRad) and SYBR Green I fluorescent dye (Molecular Probes, Carlsbad, CA) [20,21].

Results and Discussion

Expression during lens regeneration

The microarray analysis revealed the regulation of several miRNAs between the intact dorsal and ventral irises and between the irises at day 8 of regeneration. For example, some miRNAs were more highly expressed in the intact dorsal iris while others were in the intact ventral irises. Similar regulation was observed in the 8-day irises as well (Table 1). For example a V/D fold change of 7.65 means that the levels in the ventral iris are 7.65 times more than in the dorsal. A negative sign would indicate the opposite, higher levels in the dorsal. It is interesting to note that miRNAs thought to be eye specific in mammals, such as miR184 are also found in our list [22]. Among others that have been found to be expressed during mouse eye development are: miR181, miR124, miR204, miR125 [22]. All these have been found in our microarray, indicating that our analysis is quite valid. Of interest are members of the let-7 family. Many of them (let-7a-g; highlighted with red color in Table 1) are found in the miRNA list, having the same overall expression pattern and deserve further attention. They were found in higher levels in the intact dorsal iris, but they were down-regulated in the dorsal iris during dedifferentiation. These miRNAs have been associated with control of cell cycle, which is a crucial event during dedifferentiation [23] and with oncogenic transformation [24]. Some other miRNA show an interesting up-regulation in the ventral iris. For example, miR148 is elevated in the intact ventral iris as well as in the 8-day ventral iris when compared with its dorsal counterparts. This might indicate that such miRNAs could be negative regulators (repress regeneration-related genes in the ventral iris). The expression patterns of miR148 were also verified by QPCR (Fig. 1a). We also examined expression of let7 and as it is shown in Fig.1b it was found to be expressed in the irises. We should draw attention here to the fact that the Ambion primers for let7 can pick several different members and that in principle QPCR and microarray are different techniques. Nevertheless, the QPCR data on let7 expression provide an independent verification of its expression in newt irises. In a separate study we have reported the cloning of most of these miRNAs, which as expected show identity in sequence with their mammalian counterparts [25].

Table 1.

Microarray analysis in the irises

clone Avg. intensity Fold change V/D Fold change 8d V/D clone Avg. intensity Fold change V/D Fold change 8dV/D
hsa_miR_148 156 7.65 1.90 rno_miR_327 213 −1.49 1.07
ambi_miR_7012 96 4.87 −1.07 mmu_miR_292 238 3.81 −1.10
ambi_mir_7075 96 −3.98 −2.65 ambi_miR_7016 105 1.71 1.04
Control_4 86 −4.44 −1.44 rno_miR_327 161 2.27 1.07
hsa_miR_181 76 −4.12 −1.20 ambi_miR_71 136 −1.50 1.03
hsa_miR_365 99 −3.24 1.40 hsa_miR_124 371 1.28 −1.11
hsa_miR_142 108 −2.77 1.15 hsa_miR_370 182 2.87 1.68
ambi_miR_7067 139 −3.49 −3.36 mmu_miR_202 286 −1.88 1.06
mmu_miR_202 321 −2.54 1.31 mmu_miR_291 200 −2.33 1.26
hsa_miR_204 479 −2.72 −1.04 mmu_miR_351 57 −1.18 −1.27
hsa_miR_198 324 −3.45 −1.05 Control_4 135 1.40 1.02
ambi_miR_7057 602 −1.51 1.12 hsa_miR_342 2204 1.17 1.05
hsa_miR_299 70 2.27 1.99 hsa_miR_141 96 1.16 −1.61
hsa_miR_320 326 −1.74 1.23 hsa_miR_26a 131 −1.57 4.43
Has_miR_200 101 −1.88 −1.67 hsa_miR_182 139 1.24 1.69
hsa_miR_125 258 −2.98 −1.59 ambi_miR_7065 1094 1.22 −1.49
hsa_miR_181 165 1.84 1.43 ambi_miR_7065 1666 −1.12 −1.49
ambi_miR_7030 255 −6.18 1.28 ambi_miR_7024 175 1.37 1.57
ambi_miR_7076 51 1.99 −3.52 ambi_miR_7073 47 1.89 −2.53
ambi_miR_7034 106 −2.04 2.71 hsa_miR_151 77 −1.26 −1.39
ambi_miR_7030 173 −2.16 2.40 Control_1 16576 1.06 1.03
ambi_miR_7089 115 2.45 −1.75 ambi_miR_7044 272 −1.59 −1.08
hsa_miR_370 166 −1.49 2.32 hsa_miR_342 2215 1.07 1.04
ambi_miR_7046 155 3.52 1.10 Control_1 20562 −1.06 −1.10
hsa_miR_320 581 −1.73 1.10 hsa_miR_122 297 1.08 1.92
ambi_miR_7002 78 1.75 −2.03 Control_1 16825 −1.04 1.04
ambi_miR_7044 236 −1.84 1.06 Control_1 16345 −1.04 1.03
hsa_miR_302 122 1.38 1.38 hsa_miR_184 270 −1.38 1.90
hsa_miR_182 173 −1.71 −1.47 Control_1 19687 −1.04 1.02
ambi_miR_7075 88 −3.35 1.50 hsa_miR_181 198 1.28 1.05
hsa_miR_30d 104 −1.66 −1.60 ambi_miR_7058 224 1.24 1.52
ambi_miR_7063 208 −1.97 3.78 Control_1 17267 1.04 1.03
hsa_let_7d 267 −2.25 1.20 Control_1 21345 −1.04 −1.02
hsa_let_7c 242 −2.14 2.11 Control_1 19884 1.03 −1.05
hsa_let_7e 111 −15.17 1.45 hsa_miR_31 108 1.36 −1.28
hsa_let_7g 138 −1.68 1.40 Control_1 20201 −1.03 −1.01
hsa_let_7a 291 −1.37 −1.00 Control_1 19507 1.03 1.01
hsa_let_7b 157 −1.42 3.15 mmu_miR_298 299 1.20 3.11
hsa_let_7f 176 −1.21 1.04 Control_1 15189 1.03 −1.18
hsa_miR_184 151 −2.31 1.31 Control_1 14283 1.03 −1.01
ambi_miR_7058 175 −2.48 1.97 Control_1 18926 −1.02 1.01
hsa_miR_198 705 −1.62 −1.18 mmu_miR_298 369 1.13 1.66
hsa_miR_95 161 −1.28 −1.28 hsa_miR_124 520 −1.01 −1.14
mmu_miR_106 125 3.63 −1.22 hsa_miR_130 135 1.02 2.10
ambi_miR_7057 502 −1.35 1.33

Figure 1.

Figure 1

Analysis of microRNAs expression by QPCR. a: miR148 during lens regeneration, b: let-7 during lens regeneration, c: let-7 during hair cell regeneration. The comparisons in a and b and between normal dorsal iris (ND), normal ventral irises (NV), dorsal irises during regeneration (RD) and ventral iris during regeneration (RV) (see text for explanation). In c expression is compared with the expression on day 0 (set as 1; see text). The values are the average of triplicates ± standard deviation.

Expression during hair cell regeneration

Several miRNAs were found to be regulated during the initial process of dedifferentiation (Tables 24). Interestingly, many of the regulated miRNAs have also been identified in another study during maturation in mice [26]. These miRNAs are very different than the ones identified during lens regeneration. The primary exception is the members of the let-7 family (highlighted red in Table 4). These miRNAs showed significant reduction in their expression levels at day 12 after antibiotic treatment, a period, which is characterized by the early events of regeneration. The expression was also verified via QPCR (Fig. 1c; see above for discussion). It is interesting to note here that this pattern is very similar in both lens and hair cell regeneration. Let-7 miRNAs are known to promote terminal differentiation, tumor suppression and re-entry to the cell cycle. Thus, their down-regulation might implicate them as regulators of dedifferentiation, a critical event for regeneration to occur. Their common expression in two different regeneration events in the newt may indicate that initiation of regeneration in different tissue involves common signals. This is of paramount importance in the field and for the first time alludes to a novel mechanism of vertebrate regeneration. These miRNAs may become indispensable tools to probe and understand the remarkable regenerative capabilities in salamanders and possibly allow extension in other animals. Since miRNAs are relatively short they can be easily transfected in vivo the same way as morpholinos [27]. As techniques to over-express or down-regulate miRNAs are becoming more advanced and available we will be able to delineate the function and role of these miRNAs in regeneration. Comparative studies with the axolotl (a lens regeneration-incompetent salamander) or even mouse might further allow us to understand why such regenerative capability is restricted.

Table 2.

Microarray analysis during hair cell regeneration. Day 2 vs 0

Clone Fold Change Avg Int
mmu_miR_151 2.0674 396.0573
mmu_miR_129_3p −1.7490 169.7252
hsa_miR_373 −1.7328 708.3516
hsa_miR_520h −1.6025 238.2225
hsa_miR_28 1.5548 451.8614
ambi_miR_7067 −1.5471 364.4230
hsa_miR_450 1.5033 665.0543
hsa_miR_190 −1.5217 654.7506
hsa_miR_489 −1.5724 234.2624
mmu_miR_330 −1.4925 139.4994

Table 4.

Microarray analysis during hair cell regeneration. Day 12 vs 0

Clone Fold Change Avg. Int. Clone Fold change Avg. Int.
hsa_let_7b −2.6298 1221.1691 rno_miR_333 −1.5993 893.7625
hsa_miR_520a 2.8071 22.7310 mmu_miR_199b 1.5882 290.6795
hsa_let_7e −2.4280 1302.4903 hsa_miR_34b −1.5788 792.3592
hsa_let_7a −2.2824 1009.1084 hsa_miR_519e 1.5725 303.7151
hsa_let_7c −2.2726 1103.7925 ambi_miR_7105 1.5725 465.1575
hsa_miR_185 −2.2251 883.8237 hsa_miR_361 −1.5690 903.1490
hsa_miR_21 −2.1342 733.2364 hsa_miR_494 1.5675 633.6184
hsa_miR_374 2.0228 621.8023 hsa_miR_383 −1.6739 19.5692
hsa_miR_325 −1.9874 1078.0184 hsa_miR_142_5p 1.5614 473.3618
hsa_miR_142_3p −1.9490 911.2375 hsa_miR_147 1.5585 612.7283
ambi_miR_7103 1.9353 292.3189 mmu_miR_192 1.6636 469.8407
mmu_miR_298 −1.9046 954.7137 hsa_let_7f −1.5535 794.0183
hsa_miR_373_AS 2.0971 25.4489 hsa_miR_135a −1.5526 693.6723
hsa_miR_136 −1.8915 899.0768 rno_miR_327 −1.5520 726.4895
rno_miR_7_AS 1.8872 478.5270 hsa_miR_496 1.5520 532.1293
mmu_miR_293 −1.8585 816.3131 hsa_miR_485_5p −1.5515 732.0955
ambi_miR_7081 −1.8509 1007.9606 hsa_miR_379 −1.5440 839.9563
hsa_let_7d −1.8405 1192.9872 hsa_miR_505 −1.5413 634.0932
hsa_miR_130a 1.8235 448.0113 hsa_miR_27b 1.5404 591.0668
hsa_miR_449 −1.8211 950.3503 hsa_miR_30a_3p −1.5400 952.4757
hsa_miR_373 −1.8153 623.1538 mmu_miR_329 −1.5399 370.7281
hsa_miR_138 −1.8095 837.4795 hsa_miR_370 −1.5396 699.4478
hsa_miR_23a −1.7835 109.4549 hsa_miR_374 1.5353 577.6142
hsa_miR_185 −1.7728 807.2191 hsa_miR_518f_AS 1.5328 567.9875
hsa_miR_122a −1.7689 895.2785 hsa_miR_34b −1.5324 884.6310
ambi_miR_7058 −1.7548 853.4199 ambi_miR_7097 1.5320 543.8395
mmu_miR_325 −1.7509 821.1835 hsa_miR_30e_5p −1.5267 794.1920
hsa_let_7g −1.7462 1061.8068 hsa_miR_128a 1.5242 531.1833
ambi_miR_7055 1.7376 497.0282 hsa_miR_518f −1.5198 248.5913
hsa_miR_33 −1.7330 1273.6923 hsa_miR_383 −1.5167 10.1160
hsa_miR_142_3p 1.7319 382.0059 ambi_miR_7026 −1.5152 402.5555
hsa_miR_296 1.7151 647.2378 hsa_miR_20a 1.5118 310.7852
hsa_miR_452 1.7076 298.4812
hsa_miR_526b_AS 1.7056 417.6010
mmu_miR_201 1.7019 551.8309
hsa_miR_193b 1.6931 431.1058
hsa_miR_361 −1.6867 838.4150
hsa_miR_142_3p −1.6829 933.3106
hsa_miR_381 1.6790 401.4013
ambi_miR_7101 1.6704 468.7710
mmu_miR_207 1.6484 345.1215
hsa_miR_335 −1.6478 877.1218
hsa_miR_34a −1.6438 1059.6713
hsa_miR_26b 1.6426 493.0280
mmu_miR_215 1.6348 576.2521
hsa_miR_202_AS 1.6323 502.1667
rno_miR_327 −1.6262 619.9649
hsa_miR_187 −1.6260 928.6982
hsa_miR_525_AS −1.6244 567.6541
hsa_miR_519e_AS 1.6156 599.6974
mmu_miR_140_AS 1.6112 333.0877
hsa_miR_425 −1.5995 320.4162

Table 3.

Microarray analysis during hair cell regeneration. Day 7 vs 0

Clone Fold Change Avg. Int. Clone Fold Change Avg. Int.
hsa_miR_95 −3.9855 1735.3084 hsa_miR_132 1.3824 362.8796
mmu_miR_155 −3.1804 20.5176 hsa_miR_489 1.3779 234.5939
hsa_miR_23a −2.1884 84.5907 hsa_miR_296 1.3765 237.7511
mmu_miR_192 1.9234 54.6014 hsa_miR_188 −1.3726 671.5538
hsa_miR_20a 1.8358 142.0789 hsa_miR_202_AS −1.3666 559.6628
hsa_miR_526b_AS 1.7350 188.8813 hsa_miR_526c 1.3663 402.3559
hsa_miR_126_AS 1.6630 245.0694 hsa_miR_125a −1.3606 330.3474
rno_miR_297 −1.6628 688.0986 mmu_miR_322 −1.3596 204.0268
hsa_miR_127 −1.6426 352.7881 hsa_miR_302b_AS 1.3544 454.3263
hsa_miR_25 1.6124 234.1699 ambi_miR_7036 −1.3529 395.6788
hsa_miR_151 1.6029 354.0169 hsa_miR_126 −1.3513 367.3735
hsa_miR_450 −1.5850 549.2480 hsa_let_7a 1.3509 648.9146
hsa_miR_382 −1.5823 275.2389 hsa_let_7e 1.3499 692.5730
hsa_miR_208 −1.5805 182.8891 hsa_miR_21 1.3496 536.7623
hsa_miR_23a −1.5549 95.2843 hsa_miR_24 −1.3487 344.4468
hsa_miR_196a −1.5247 316.6415 hsa_miR_182_AS 1.3452 455.7878
hsa_miR_34a −1.5161 668.1213 hsa_miR_143 −1.3442 516.5192
hsa_miR_27b 1.5093 361.5261
hsa_miR_29a 1.4927 171.4770
hsa_miR_452 1.4899 249.7698
ambi_miR_7084 −1.4868 214.7566
hsa_miR_523 −1.4806 286.6044
hsa_miR_31 −1.4742 457.9917
hsa_let_7g −1.4714 653.8679
hsa_miR_122a −1.4650 608.1613
rno_miR_297 −1.4500 587.3088
hsa_miR_19a 1.4485 169.2059
hsa_let_7c −1.4417 483.5760
ambi_miR_7105 −1.4399 33.5882
hsa_miR_132 1.4372 327.3716
hsa_miR_380_3p 1.4297 304.7082
hsa_miR_105 −1.4252 328.6605
hsa_miR_28 −1.4189 317.3633
hsa_miR_200b 1.4170 115.5571
hsa_miR_133a −1.4122 254.0713
hsa_miR_30e_3p −1.4038 572.4405
mmu_miR_140_AS −1.4035 179.2206
hsa_miR_214 1.4016 404.5326
rno_miR_151_AS 1.4013 312.4533
hsa_miR_20a 1.4008 148.7541
hsa_miR_195 −1.3983 319.1480
hsa_miR_223 −1.3960 415.9830
hsa_miR_183 −1.3954 603.1783
hsa_miR_373_AS 1.4631 25.7223
rno_miR_349 −1.3899 195.2858
hsa_miR_188 −1.3877 542.2359
hsa_miR_147 −1.3862 433.9811
ambi_miR_7058 1.3850 494.5904
hsa_miR_504 1.3837 439.0520
hsa_miR_215 −1.3835 323.4792

Acknowledgments

This work was supported by NEI grant EY10540 and by a research contract from Wright State University to PAT and by RNID to RRT and AF.

Footnotes

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