A possible new mechanism for the control of miRNA ...A possible new mechanism for the control of...

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A possible new mechanism for the control of miRNA expression in neurons Erika Reime Kinjo a,1 , Guilherme Shigueto Vilar Higa a,b,1 , Erica de Sousa a , Otávio Augusto Nocera Casado a , Marcio Vinicius Damico a , Luiz Roberto G. Britto b , Alexandre Hiroaki Kihara a,b, a Núcleo de Cognição e Sistemas Complexos, Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, 09210-580 Santo André, SP, Brazil b Departamento de Fisiologia e Biofísica, Instituto de Ciências Biomédicas, Universidade de São Paulo, 05508-000 São Paulo, SP, Brazil abstract article info Article history: Received 28 May 2013 Revised 15 July 2013 Accepted 28 July 2013 Available online 7 August 2013 The control of gene expression by miRNAs has been widely investigated in different species and cell types. Following a probabilistic rather than a deterministic regimen, the action of these short nucleotide sequences on specic genes depends on intracellular concentration, which in turn reects the balance between biosynthesis and degradation. Recent studies have described the involvement of XRN2, an exoribonuclease, in miRNA degra- dation and PAPD4, an atypical poly(A) polymerase, in miRNA stability. Herein, we examined the expression of XRN2 and PAPD4 in developing and adult rat hippocampi. Combining bioinformatics and real-time PCR, we dem- onstrated that XRN2 and PAPD4 expression is regulated by the uncorrelated action of transcription factors, resulting in distinct gene expression proles during development. Analyses of nuclei position and nestin labeling revealed that both proteins progressively accumulated during neuronal differentiation, and that they are weakly expressed in immature neurons and absent in glial and endothelial cells. Despite the differences in subcellular lo- calization, both genes were concurrently identied within identical neuronal subpopulations, including specic inhibitory interneurons. Thus, we cope with a singular circumstance in biology: an almost complete intersected expression of functional-opposed genes, reinforcing that their antagonistically driven actions on miRNAs make senseif simultaneously present at the same cells. Considering that the transcriptome in the nervous system is nely tuned to physiological processes, it was remarkable that miRNA stability-related genes were concurrently identied in neurons that play essential roles in cognitive functions such as memory and learning. In summary, this study reveals a possible new mechanism for the control of miRNA expression. © 2013 Elsevier Inc. All rights reserved. Introduction MicroRNAs (miRNAs), endogenous single-stranded RNA approxi- mately 21 nucleotides in length are fundamental post-transcriptional regulators of gene expression (Ambros and Lee, 2004; Brennecke et al., 2005; He and Hannon, 2004). Regulation of gene expression by miRNAs is highly conserved among species, and has been studied in a wide variety of processes and cell types (Matzke and Matzke, 2004). In the nervous system, the role of miRNAs has also been investigated in fundamental processes such as development (Decembrini et al., 2009; Gao, 2008; Li et al., 2011; Sanuki et al., 2011; Somel et al., 2011), cell differentiation (Andersson et al., 2010; Zheng et al., 2010), adaptation to ambient demands (Bredy et al., 2011; Konopka et al., 2011; Krol et al., 2010), neurodegeneration, and other disorders (Eacker et al., 2009; Harraz et al., 2012; Xu et al., 2013). During hippo- campal formation, changes in miRNA expression govern synaptic plas- ticity (Cohen et al., 2011; Lee et al., 2012) such as memory and learning (Konopka et al., 2011; Wang et al., 2012). Following a probabi- listic rather than deterministic operandi (Ragan et al., 2011), miRNA specicity depends on its cytosolic concentration, which in turn is the result of the balance between biosynthesis and degradation. While mechanisms underlying miRNA synthesis have been exhaustively in- vestigated (Diederichs and Haber, 2007; Koscianska et al., 2011; Wu et al., 2012), little is known about proteins involved in miRNA stability and degradation (Bail et al., 2010). Recent studies have described the in- volvement of XRN2, a 53exoribonuclease, in miRNA degradation and PAPD4, an atypical poly(A) polymerase also known as GLD-2, in miRNA stability (Kai and Pasquinelli, 2010; Katoh et al., 2009). In this study, we thoroughly examined the ontogenesis of XRN2 and PAPD4 in hippocampal neurons, progenitor, glial, and endothelial cells using a combination of different methods and analyses. Studies employing hippocampal formation include several advantages such as a constant cell proliferation state, synaptic plasticity, and neuronal di- versity in well-characterized neuronal circuits. We demonstrate that Experimental Neurology 248 (2013) 546558 Competing interests: The authors have declared that no competing interests exist. Corresponding author at: Núcleo de Cognição e Sistemas Complexos, Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, Av. Atlântica 420, 09060-000, Santo André, SP, Brazil. E-mail address: [email protected] (A.H. Kihara). 1 These authors contributed equally to this work. 0014-4886/$ see front matter © 2013 Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.expneurol.2013.07.022 Contents lists available at ScienceDirect Experimental Neurology journal homepage: www.elsevier.com/locate/yexnr

Transcript of A possible new mechanism for the control of miRNA ...A possible new mechanism for the control of...

Page 1: A possible new mechanism for the control of miRNA ...A possible new mechanism for the control of miRNA expression in neurons Erika Reime Kinjoa,1, Guilherme Shigueto Vilar Higaa,b,1,

Experimental Neurology 248 (2013) 546–558

Contents lists available at ScienceDirect

Experimental Neurology

j ourna l homepage: www.e lsev ie r .com/ locate /yexnr

A possible new mechanism for the control of miRNA expressionin neurons☆

Erika Reime Kinjo a,1, Guilherme Shigueto Vilar Higa a,b,1, Erica de Sousa a, Otávio Augusto Nocera Casado a,Marcio Vinicius Damico a, Luiz Roberto G. Britto b, Alexandre Hiroaki Kihara a,b,⁎a Núcleo de Cognição e Sistemas Complexos, Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, 09210-580 Santo André, SP, Brazilb Departamento de Fisiologia e Biofísica, Instituto de Ciências Biomédicas, Universidade de São Paulo, 05508-000 São Paulo, SP, Brazil

☆ Competing interests: The authors have declared that⁎ Corresponding author at: Núcleo de Cognição e S

Matemática, Computação e Cognição, Universidade Fede09060-000, Santo André, SP, Brazil.

E-mail address: [email protected] (A.H. Kih1 These authors contributed equally to this work.

0014-4886/$ – see front matter © 2013 Elsevier Inc. All rihttp://dx.doi.org/10.1016/j.expneurol.2013.07.022

a b s t r a c t

a r t i c l e i n f o

Article history:Received 28 May 2013Revised 15 July 2013Accepted 28 July 2013Available online 7 August 2013

The control of gene expression by miRNAs has been widely investigated in different species and cell types.Following a probabilistic rather than a deterministic regimen, the action of these short nucleotide sequenceson specific genes depends on intracellular concentration,which in turn reflects the balance betweenbiosynthesisand degradation. Recent studies have described the involvement of XRN2, an exoribonuclease, in miRNA degra-dation and PAPD4, an atypical poly(A) polymerase, in miRNA stability. Herein, we examined the expression ofXRN2 and PAPD4 in developing and adult rat hippocampi. Combining bioinformatics and real-time PCR,we dem-onstrated that XRN2 and PAPD4 expression is regulated by the uncorrelated action of transcription factors,resulting in distinct gene expression profiles during development. Analyses of nuclei position and nestin labelingrevealed that both proteins progressively accumulated during neuronal differentiation, and that they are weaklyexpressed in immature neurons and absent in glial and endothelial cells. Despite the differences in subcellular lo-calization, both genes were concurrently identified within identical neuronal subpopulations, including specificinhibitory interneurons. Thus, we cope with a singular circumstance in biology: an almost complete intersectedexpression of functional-opposed genes, reinforcing that their antagonistically driven actions on miRNAs “makesense” if simultaneously present at the same cells. Considering that the transcriptome in the nervous system isfinely tuned to physiological processes, it was remarkable that miRNA stability-related genes were concurrentlyidentified in neurons that play essential roles in cognitive functions such as memory and learning. In summary,this study reveals a possible new mechanism for the control of miRNA expression.

© 2013 Elsevier Inc. All rights reserved.

Introduction

MicroRNAs (miRNAs), endogenous single-stranded RNA approxi-mately 21 nucleotides in length are fundamental post-transcriptionalregulators of gene expression (Ambros and Lee, 2004; Brenneckeet al., 2005; He and Hannon, 2004). Regulation of gene expression bymiRNAs is highly conserved among species, and has been studied in awide variety of processes and cell types (Matzke and Matzke, 2004).

In the nervous system, the role ofmiRNAs has also been investigatedin fundamental processes such as development (Decembrini et al.,2009; Gao, 2008; Li et al., 2011; Sanuki et al., 2011; Somel et al.,2011), cell differentiation (Andersson et al., 2010; Zheng et al., 2010),adaptation to ambient demands (Bredy et al., 2011; Konopka et al.,

no competing interests exist.istemas Complexos, Centro deral do ABC, Av. Atlântica 420,

ara).

ghts reserved.

2011; Krol et al., 2010), neurodegeneration, and other disorders(Eacker et al., 2009; Harraz et al., 2012; Xu et al., 2013). During hippo-campal formation, changes in miRNA expression govern synaptic plas-ticity (Cohen et al., 2011; Lee et al., 2012) such as memory andlearning (Konopka et al., 2011; Wang et al., 2012). Following a probabi-listic rather than deterministic operandi (Ragan et al., 2011), miRNAspecificity depends on its cytosolic concentration, which in turn is theresult of the balance between biosynthesis and degradation. Whilemechanisms underlying miRNA synthesis have been exhaustively in-vestigated (Diederichs and Haber, 2007; Koscianska et al., 2011; Wuet al., 2012), little is known about proteins involved in miRNA stabilityand degradation (Bail et al., 2010). Recent studies have described the in-volvement of XRN2, a 5′ → 3′ exoribonuclease, in miRNA degradationand PAPD4, an atypical poly(A) polymerase also known as GLD-2, inmiRNA stability (Kai and Pasquinelli, 2010; Katoh et al., 2009).

In this study, we thoroughly examined the ontogenesis of XRN2 andPAPD4 in hippocampal neurons, progenitor, glial, and endothelial cellsusing a combination of different methods and analyses. Studiesemploying hippocampal formation include several advantages such asa constant cell proliferation state, synaptic plasticity, and neuronal di-versity in well-characterized neuronal circuits. We demonstrate that

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Table 1Primary antibodies used in immunohistochemistry (IHC) and Western blot (WB)experiments.

Antibody Dilution Manufacturer Catalog number

Rabbit anti-XRN2 1:200 (IHC)1:1000 (WB)

Abcam ab72181

Rabbit anti-PAPD4 1:200 (IHC)1:1000 (WB)

Abcam Ab103884

Mouse anti-nestin 1:200 (IHC) Millipore MAB353Mouse anti-GFAP 1:200 (IHC) Sigma-Aldrich G3893Mouse anti-eNOS 1:200 (IHC) BD Biosciences 610297Mouse anti-calretinin 1:500 (IHC) Millipore MAB1568Mouse anti-parvalbumin 1:500 (IHC) Sigma-Aldrich P3088Mouse anti-beta actin 1:20,000 (WB) Sigma-Aldrich A5316

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genes with antagonist driven-actions on miRNAs may represent anadditional mechanism in the control of the transcriptome.

Material and methods

Ethics statement

Experiments with animals were conducted in accordance withguidelines of the National Institute of Health and the Brazilian Societyfor Laboratory Animals. The experimental protocol was approved bythe Ethics Committee in Animal Experimentation of the Institute ofBiomedical Sciences/University of São Paulo (ICB/USP).

Animal procedures

Experiments were carried out with Long Evan rats (Rattus norvegicus)kept on a 12 h light/dark cycle with lights on at 06:00 a.m. Embryonicday 21 (E21) and postnatal day 5 (P5), P10 and P60 rats were eutha-nized with an overdose of ketamine (30 mg/100 g of body weight,i.m., Parke-Davis, Ann Arbor, MI, USA) and xylazine (2 mg/100 g, i.m.,West Haven, CT, USA) between 10:00 and 12:00 a.m. Following eutha-nasia, their hippocampi were dissected for different methodologies.

Transcription factor binding site analysis

Transcription factor binding sites (TFBS) were analyzed using Map-per2 software (Marinescu et al., 2005). After identifying putative tran-scription factors, they were categorized on the basis of the score andE-value parameters. The score is the logarithm to the base 2 of theratio P(seq|HMM)/P(seq|null), where P(seq|HMM) is the probability ofthe target sequence according to the HMM model and P(seq|null) isthe probability of the sequence according to a null model distribution.Therefore, the greater the score, the better is the match between thehit and the model. In contrast, the E-value is based on the number ofsequences queried in the database and is a measure of the expectednumber of false positives that will have scores equal to or greater thanthe score of the hit. The smaller the E-value, the more significant is thehit.

RNA isolation, cDNA synthesis and real-time PCR

The HIPPOCAMPI were directly homogenized in 1–1.5 ml of a TRIzolreagent (Invitrogen, Carlsbad, CA, USA) and total RNAwas extracted fol-lowing themanufacturer protocol and previously described procedures(Kihara et al., 2005; Paschon et al., 2012). Briefly, following two chloro-form extraction steps, RNA was precipitated with isopropanol andthe pellet washed twice in 70% ethanol. After air-drying, RNA wasresuspended in DEPC-treatedwater and the concentration of each sam-ple obtained from A260 measurements. Residual DNA was removedusing DNase I (Amersham, Piscataway, NJ, USA) following themanufac-turer protocol. Quantitative analysis of gene expression was carried outwith a Rotor-Gene 6000 real-time rotary analyzer (Corbett RoboticsInc., San Francisco, CA, USA) with specific primers for rat XRN2 (for-ward, 5′-TCGAGGAGGGCGACAGGGAT-3′; reverse, 5′-GGGCGGTGGCAAAGGGTACT-3′) and rat PAPD4 (forward, 5′-ACAGGGTTGTCTACGCCGCC-3′; reverse, 5′-CGCGGGCGTGTTAAGTTGGG-3′). cDNA abundancefor cyclophilin A (forward, 5′-GCGTTTTGGGTCCAGGAATGGC-3′; re-verse, 5′-TTGCGAGCAGATGGGGTGGG-3′) was determined as an inter-nal control. For each 20 μl reverse transcription reaction, 4 μg of totalRNAwasmixedwith 1 μl of oligo-dT primer (0.5 μg; Invitrogen) and in-cubated for 10 min at 65 °C. After cooling on ice the solutionwasmixedwith 4 μl of 5× first strand buffer, 2 μl of 0.1 M DTT, 1 μl of dATP, dTTP,dCTP and dGTP (each 10 mM), and 1 μl of SuperScript III reverse tran-scriptase (200 U; Invitrogen) and incubated for 60 min at 50 °C. Reac-tion was inactivated by heating at 70 °C for 15 min. All PCR assayswere performed as follows: after initial activation at 50 °C for 2 min

and 95 °C for 10 min, cycling conditions were 95 °C, 10 s and 60 °C,1 min. Dissociation curves of PCR products were obtained by heatingsamples from 60 to 95 °C, in order to evaluate primer specificity.

PCR statistical analysis

Relative quantification of target gene expression was evaluatedusing the comparative CT method as previously described in detail(Kihara et al., 2008b; Medhurst et al., 2000). In the present study, weconsidered P60 animals as the control group. Values were entered intoone-way analysis of variance (ANOVA), followed by pairwise compari-sons in Tukey's HSD test, with the significance level set at 5%.

Western blotting

The hippocampi were rapidly dissected, washed with phosphatebuffered saline (PBS), and homogenized in a RIPA buffer (50 mM Tris,150 mM NaCl, 0.1% SDS, 0.5% sodium deoxycholate, 1% Triton X-100,and protease inhibitors). Homogenates were centrifuged for 20 min at14,000 g and 4 °C to remove insoluble material. Protein concentrationwas determined using the BCA method (Thermo Scientific, Rockford,IL, USA, catalog # 23225), and bovine serum albumin was used as thestandard as per the manufacturer's instructions. Proteins in the mem-brane preparations were separated using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE; 10% gel) and trans-ferred onto nitrocellulose membranes (Santos-Bredariol et al., 2006).Blots were incubated with 5% non-fat milk in a TBST buffer for 2 h atroom temperature to block nonspecific binding of antibodies. After rins-ing the blots with TBST, they were incubated overnight with primaryantibodies against XRN2, PAPD4, and beta-actin diluted in TBST/3%non-fat milk (Table 1). After incubation with primary antibodies, blotswere rinsed with TBST and incubated with goat anti-rabbit peroxidase(ECL™ kit; Amersham, Buckinghamshire, England) for 2 h at room tem-perature. Detection of labeled proteins was achieved by using the en-hanced chemiluminescent system (ECL™ kit; Amersham). The opticalband densities (OBDs)were determined using ImageJ software (Nation-al Institute ofMental Health, Bethesda,Maryland, USA). OBDswere nor-malized against protein levels expressed in the adult hippocampus. Datafrom four independent experiments were analyzed using one-wayANOVA with repeated measures, followed by pairwise comparisonswith Tukey's HSD test.

Immunohistochemistry

Brains were collected and fixed for 8 h in 1% paraformaldehyde(PFA) in phosphate buffered saline (PBS; 0.1 M, pH 7.3), and cryo-protected in a 30% sucrose solution for at least 48 h at 4 °C. After em-bedding the brain in an Optimum Cutting Temperature compound(OCT, Sakura Finetek USA, Inc., Torrance, CA, USA), coronal sections(12 μm)were obtained on a Leica CM1850 cryostat (LeicaMicrosystems

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Fig. 1.Analysis of XRN2 and PAPD4 transcription factor binding sites and quantification of gene expression during hippocampal development. (A) Representation and localization of XRN2and PAPD4 genes. Analysis of transcription binding sites (TFBS) located as far as 2000 bp upstream identified 24 different transcription factors that may regulate both XRN2 and PAPD4.(B, C) Transcription factors were plotted according to score and E-value parameters in a scattergram. (D) Pearson's correlation analyses revealed coefficient values extremely close to zerofor both parameters. (E) Amplification plots of hippocampal samples obtained from 21-day-old embryos (E21, red) and adult rats (P60, green) using primers designed for XRN2. E21samples required fewer cycles for visualization of the amplification plot compared with P60 samples. (F) Dissociation curves of the first derivative plot from normalized fluorescenceof amplicons generated by XRN2 primers against temperature. The melting temperature (Tm) of PCR products (indicated by the peak of the solid line) exactly matched the theoreticalTm expected for the amplicon. (G, H) Amplification plots and dissociation curves from E21 (red) and P60 (green) cDNA samples using PAPD4 primers. E21 and P60 samples have similaramplification plots. (I) XRN2 expression during hippocampal development normalized to the control at P60. We observed higher expression levels at E21, P5, and P10 than those at P60.(J) PAPD4 expression during hippocampal development normalized by P60.We observed higher transcript levels at P5 than those at P60. Cyclophilin A expressionwas used as an internalcontrol. Bars represent standard errors of the mean. *P b 0.05, **P b 0.01, ***P b 0.001 vs. P60 in Tukey's HSD pairwise comparisons after one-way ANOVA.

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Inc., IL, USA). Brain sections containing the hippocampus were incubat-ed overnight with primary antibodies in a solution containing 5%normal goat serum and 0.3% Triton X-100 in PBS at room temperature.All the antibodies and specific concentrations used in this study arelisted in Table 1. After several washes, brain sections were incubated

Fig. 2. Detection and quantification of XRN2 and PAPD4 protein levels during hippocampal deBeta-actin (42 kDa) was used as an internal control. Optical band densities (OBD) at E21experiments (n = 4). (B) We observed that XRN2 protein levels decreased at E21, P5, and P1at E21, P5, and P10 than those at P60. *P b 0.001, **P b 0.01 vs. P60 in Tukey's HSD pairwise

with a goat antiserum against rabbit IgG tagged to Alexa 488 (1:200–1:500, Invitrogen) diluted in 0.3% Triton X-100 in PBS for 2 h at roomtemperature. For double-labeling experiments, we employed secondaryantibodies conjugated to Alexa 546 and Alexa 647 (1:200–1:500,Invitrogen). Controls for the experiments consisted of the omission of

velopment. (A)Western blots of XRN2 and PAPD4 in developing and adult hippocampi., P5, and P10 were normalized against the OBD at P60 (adult) in three independent0 compared with those at P60. (C) In contrast, we observed lower PAPD4 protein levelscomparisons after one-way ANOVA.

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Fig. 3.XRN2 immunolabeling indeveloping and adult rat hippocampi. XRN2 (green) immunolabeling in coronal sections of developing and adult hippocampi followed by counter-stainingwith 4′,6-diamidino-2-phenylindole (DAPI, blue). (A–H) XRN2 immunoreactivity in the CA1 regionwas observed in pyramidal cell nuclei and in some cells within strata oriens, radiatum,and lacunosum-moleculare in developing and adult hippocampi. (I–P) In the CA3 region of the hippocampus in all studied ages, XRN2 labeling was also observed in pyramidal cell nucleiand in strata oriens, radiatum, and lacunosum-moleculare. In the dentate gyrus, XRN2 immunolabeling at E21 (Q, U) was detected in cells located predominantly in the hilus, withextremely sparse staining in the granule cell layer. At P5 (R, V), XRN2 labelingwas clearly detected in the granule cell layer. At P10 (S, T) and P60 (W,X), XRN2-positive cellswere observedboth in the hilus and granule cell layer. Scale bar: 50 μm.

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primary antibodies; no staining was observed in these cases. Counter-staining of brain sections was achieved using 4′,6-diamidino-2-phenylindole (DAPI). After washing, the specimen was mounted usingVecta Shield (Vector Labs, Burlingame, CA, USA), and analyzed with aNikon TS100F inverted microscope (Nikon Instruments Inc., Melville,NY, USA). Figuresweremountedwith Adobe Photoshop CS5.Manipula-tion of the imageswas restricted to brightness and contrast adjustmentsof the whole image.

Image quantification

Image analysis was performedwith ImageJ software (National Insti-tute of Mental Health, Bethesda, Maryland, USA) and NIS-elements AR

3.2 64-bit software (Nikon Instruments Inc.), as previously described(Kihara et al., 2008a). After channel separation (RGB) of the color im-ages, we performed quantification of the mean pixel intensity, wherevalues correspond to the brightness of the pixels of delimited areas cor-responding to the cell nuclei. Each value was normalized by the meanpixel intensity of all labeled cells in the same image. In some cases,areas of interest (AOIs) were defined by the labeling in one channel,and analysis was performed in another channel, as for instance,labeling of XRN2 and PAPD4 in the green channel, defined by DAPI la-beling in the blue channel. Pearson's correlation between PAPD4 andDAPI was performed employing 6–8 hippocampal slices of 3 animalsat ages E21 and P60. The coefficients provided by each analysis wereused to calculate the mean of Pearson's correlation in E21 and P60

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Fig. 4. PAPD4 immunolabeling in the developing and adult rat hippocampi. PAPD4 (green) immunolabeling of the developing and adult rat hippocampi, counter-stainedwith DAPI (blue).PAPD4 immunostaining in the CA1 region of the hippocampus at E21 (A, E) was observed primarily in the cytosol of pyramidal cells, and also in strata oriens, radiatum, and lacunosum-moleculare. At P5 (B, F) and P10 (C, G), PAPD4 progressively accumulates in nuclei, whereas at P60 (D, H), a clear nuclear labeling in pyramidal cells was observed in addition to a fewpositive cells in strata oriens, radiatum, and lacunosum-moleculare. (I–P) In the CA3 region, we observed similar changes in PAPD4 subcellular distribution during development i.e., a pro-gressive accumulation of the protein in cell nuclei. In the dentate gyrus (DG), PAPD4 labeling at E21 (Q, U)was primarily seen in the cytosol of cells located in the hilus, withweak stainingin the granule cell layer. At P5 (R, V) and P10 (S, W), an increase in PAPD4 in the granule cell layer was detected, and in hilar cells, we observed a progressive accumulation of PAPD4 innuclei. (T, X) In the DG at P60, PAPD4 immunoreactivity was observed in cells located within the granule cell layer and hilus. Scale bar: 50 μm.

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hippocampi. Values were exported to Excel (Microsoft, Redmond, WA,USA) or Statistica (StatSoft, Tulsa, OK, USA) for the appropriate statisti-cal analysis. Images and charts were prepared with Adobe PhotoshopCS5 (Adobe Systems Inc., San Jose, CA, USA).

Results

XRN2 and PAPD4 transcription is specifically regulated, resulting in distinctgene expression profiles during development

XRN2 and PAPD4 genes are located on distinct chromosomes, andhave different lengths (3787 vs. 1871 bp) but similar open reading

frames (1685 and 1454 bp, respectively). Using bioinformatics, wedefined transcription factor binding sites (TFBS) located as far as2000 bp upstream, which would be under the control of 194 differenttranscription factors. From these, we verified that only 24 transcriptionfactors may regulate both XRN2 and PAPD4. We plotted these 24 TFBSaccording to their score and E-value parameters, which estimate theprobability of a given factor to regulate gene transcription at a specificDNA binding site (Marinescu et al., 2005). Pearson's correlation analy-ses revealed coefficient values extremely close to zero for both param-eters. Taken together, these results indicated that XRN2 and PAPD4are most probably not regulated by common transcription factors(Figs. 1, A–D).

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Fig. 5. XRN2 and PAPD4 localization in nestin-positive cells. To verify XRN2 presence (green) in immature neurons, we performed anti-nestin (red) double-labeling experiments on cor-onal hippocampal sections from 21-day-old embryos (E21) followed by counter-stainingwith DAPI (blue). (A) Nestin stainingwas rarely detected near XRN2-positive nuclei, as observedin the representative image of the CA1 region of the hippocampus. (B–D) In highmagnification of the selected area, XRN2 staining was virtually absent in nestin-positive cells (white ar-rows) compared with bright nuclear labeling observed in nestin-negative cells (white arrowheads). (E) Quantification of pixel intensity confirmed that XRN2 levels were significantlylower in nestin-positive than in nestin-negative cells. In addition,we performed double-staining using anti-PAPD4 (green) and anti-nestin (red) on coronal sections of the E21 hippocam-pus, followedby counter-stainingwithDAPI (blue). (F) Similarly, PAPD4 labelingwas rarely seen nearnestin-positive cells, as shown in the representative image of the CA1 region. (G–I) Ina highmagnification of the selected area, weak PAPD4 labelingwas observed in nestin-positive cells (red arrows) comparedwith cytoplasmic staining of nestin-negative cells (red arrow-heads). (J) Quantification of pixel intensity confirmed that PAPD4 levels were significantly lower in nestin-positive than in nestin-negative cells. Bars represent standard errors of themean. *P b 0.001 by t test. Scale bar: 12.5 μm.

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Using primers specifically designed for XRN2 and PAPD4, we gener-ated amplification plots from cDNA serial dilutions. Dissociation curvesof these PCR products were obtained by heating samples from 60 °C to95 °C. A single peak was observed and found to match the theoreticalmelting temperature previously calculated, indicating specificity of theprimers. Amplification plots indicated that XRN2 expressionwas higherat E21 than at P60, whereas PAPD4 showed no significant differences intranscript levels at both ages (Figs. 1, E–H).

We observed XRN2 and PAPD4 transcripts to have distinct expres-sion profiles and that they are expressed at all developmental agesinvestigated in this study. Our results indicated that XRN2 expressionwas higher in the hippocampus at E21 (2^1.29 = 2.45-fold-expression,P b 0.001), P5 (2^1.01 = 2.02-fold-expression, P b 0.001), and P10(2^0.60 = 1.51-fold-expression, P b 0.01) than at P60. In contrast, ourresults indicated that PAPD4 expression peaked at P5 (2^0.53 = 1.44-fold-expression, P b 0.05), and it remained stable at the other develop-mental ages studied, similar to P60 (Figs. 1, I–J). In these PCR experi-ments, cyclophilin expression was used as an internal control (datanot shown).

XRN2 and PAPD4 have distinct protein levels duringhippocampal development

Because XRN2 and PAPD4 transcripts were present in the develop-ing and adult hippocampi, we subsequently examined whether thesegenes are actually translated into proteins. We were able to detectthese proteins, and they appeared to be specifically regulated duringhippocampal development (Fig. 2A). We observed the XRN2 proteinlevel to match the gene expression profile previously shown. TheXRN2 protein level was higher in the hippocampus at E21 (919%,P b 0.001), P5 (860%, P b 0.001), and P10 (720%, P b 0.001) than atP60 (Fig. 2B). In contrast, the PAPD4 protein level was different fromits gene expression profile during hippocampal development. A lowerlevel of PAPD4 was detected at E21 (53%, P b 0.01), P5 (38%,P b 0.001), and P10 (51%, P b 0.01) than at P60 (Fig. 2C).

XRN2 and PAPD4 share a similar distribution pattern in the developing andadult hippocampi

Immunohistochemistry was employed to examine the spatial distri-bution of XRN2 in the developing and adult hippocampi. XRN2 labelingwas predominantly detected in cell nuclei with sporadic cytosolic stain-ing. At E21, XRN2 labeling in CA1 and CA3 regions was mostly observedin the pyramidal cell layer and in some cells within the strata oriens,radiatum, and lacunosum-moleculare. In the dentate gyrus (DG),XRN2-positive cells were predominantly seen in the hilus, with ex-tremely sparse labeling in the granule cell layer, which ismostly formedby immature neurons from E17 to a few weeks after birth (Fig. 3, firstcolumn). At P5, the distribution pattern of XRN2 in the CA1 and CA3 re-gions was maintained. However, we observed labeling in the granulecell layer of the DG (Fig. 3, second column). At P10 and P60, XRN2immunolabeling in the CA1 and CA3 regions was similar to that ob-served in the P5 hippocampus, with nuclear staining of pyramidalcells and a few XRN2-positive nuclei in the strata oriens, radiatum,and lacunosum-moleculare. XRN2-positive cells were observed bothin the hilus and granule cell layer of the DG (Fig. 3, third and fourthcolumns).

We observed a similar pattern of PAPD4 distribution in the hippo-campus, although changes in its subcellular localization were observedduringdevelopment. At E21, PAPD4 labelingwasmainly cytosolicwithinpyramidal cells and also in the strata oriens, radiatum, and lacunosum-moleculare within CA1 and CA3 regions (Fig. 4, first column). A similarlabeling pattern was observed in the hilus, with weak staining in thegranule cell layer. In the P5 and P10 hippocampi (Fig. 4, second andthird columns) we observed a progressive accumulation of PAPD4 inthe nuclei of cells located within the CA1 and CA3 regions. In the DG,we detected an obvious increase in PAPD4 in the granule cell layer anda gradual increase in the nuclei of hilar cells. At P60, we observed nuclearlabeling in pyramidal cells within the CA1 and CA3 regions. A few posi-tive cells in the strata oriens, radiatum, and lacunosum-molecularewere also observed. In addition, PAPD4-positive labeling was observedin the granule cell layer and hilus (Fig. 4, fourth column).

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Fig. 6. XRN2 progressively accumulates in pyramidal cell nuclei along themigration route. To analyze XRN2 (green) levels in distinct areas of themigration pathway, we performed dou-ble-labeling experiments on coronal hippocampal sections at E21, P5, P10, and P60, followed by counter-staining with DAPI (blue). (A) Schematic representation of the developing hip-pocampus and migration route. Movement of neurons in the CA3 region is composed of two vectors, as represented by dashes and solid red lines. Immature neurons first cross theinfrapyramidal area (red) on their way to the suprapyramidal region (blue). (B) During the migration process, XRN2 is progressively accumulated in nuclei of maturating neurons atP5. Quantification of pixel intensity confirmed the level of the green channel to be higher near the suprapyramidal region. (C–E) In a high magnification of the selected area, moderatestaining was observed in cells located near the infrapyramidal region (white arrows) compared with those in the suprapyramidal region (white arrowheads). (F–H) Quantification ofpixel intensity revealed a significant difference in XRN2 labeling at E21 and P5. (I) Schematic representation of the adult hippocampus. (J) XRN2 labeling in the adult hippocampuswas uniform throughout the CA3 pyramidal cell layer, as indicated by the intensity pixel profile. (K–M) In a high magnification of the selected area, XRN2 immunolabeling was uniformand stable compared with neurons located at the infra (red arrows) vs. supra (red arrowheads) borders of the pyramidal cell layer. (N) We did not detect significant differences in pixelanalysis by comparing XRN2 labeling in these areas. Bars represent standard errors of the mean. *P b 0.01 in Tukey's HSD pairwise comparisons after one-way ANOVA. Scale Bar: 25 μm.

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XRN2 and PAPD4 are weakly expressed in immature neurons

Since XRN2 and PAPD4 were detected in the developing hippocam-pus, we subsequently examined whether these proteins are also presentin immature neurons. For this purpose, we performed double-labelingexperiments in the E21 hippocampus using nestin, a marker for neuralprogenitor cells (Frederiksen andMcKay, 1988). Nestin is an intermediatefilament protein; therefore, nuclei surrounded by this marker were usedto identify nestin-positive cells and used for the quantification of meanpixel intensity (n = 4). We observed that nestin-positive cells displayedextremely low levels of XRN2 (Figs. 5, A–E) labeling compared withnestin-negative cells (0.17 ± 0.04 vs. 1.36 ± 0.09, P b 0.001). Similar re-sults were observed for PAPD4 (Figs. 5, F–J) in nestin-positive comparedwith that in nestin-negative cells (0.3 ± 0.06 vs. 1.43 ± 0.06, P b 0.001).

XRN2 and PAPD4 progressively accumulate in neuronal nuclei

To confirm our results that both XRN2 and PAPD4 accumulate inma-ture neurons, we assessed the presence of these proteins during neuro-nal differentiation. We followed the migration route of cells towardstheir definitive location, a phenomenon occurring simultaneously with

neuronal differentiation (Fig. 6A). XRN2 expression appeared to increaseduring neuronal maturation. We observed this gradual, differentiallabeling in the CA3 region at different time points during hippocampaldevelopment (Figs. 6, B–E).

Wequantified themeanpixel intensity (n = 3) of pyramidal cells lo-cated near the suprapyramidal region and adjacent to the infrapyramidalregion (Figs. 6, F–H). XRN2 labeling was significantly higher in thesuprapyramidal segment of the CA3 pyramidal layer than in theinfrapyramidal segment in E21 (1.2 ± 0.05 vs. 0.66 ± 0.04, P b 0.01)and P5 (1.3 ± 0.06 vs. 0.67 ± 0.08, P b 0.01) hippocampi. In contrast,we did not observe significant changes at P60 (Figs. 6, I–N).

Based on the changes observed in PAPD4 labeling during hippocam-pal development i.e., the translocation of this protein from the cytosol tothe nucleus, we aimed to analyze this phenomenon in the E21 and P60hippocampus (Fig. 7). After combining pixel intensity profiles and digi-tal zooming with RGB decomposition data from E21 (Figs. 7, A–D) andP60 (Figs. 7, E–H) hippocampi, we observed PAPD4 to transit from thecytosol to nucleus. Mean values from Pearson's analysis (n = 3) re-vealed no spatial correlation between DAPI and PAPD4 signals at E21(−0.008 ± 0.07), indicating a cytosolic distribution of the protein atthis age. Nevertheless, a strong correlation between DAPI and PAPD4

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Fig. 7. PAPD4 translocates from the cytoplasm to the nucleus duringmaturation of pyramidal cells. To analyze PAPD4distribution (green) in specific cellular compartments, we performedimmunolocalization experiments on coronal sections of E21, P5, P10, and P60 hippocampi, followed by counter-staining with DAPI (blue). (A) In the CA1 region of the E21 hippocampus,we observed PAPD4 immunoreactivity in the cytoplasm. Pixel intensity profiles revealed spatial differences in blue and green channels. (B–D) Under high magnification of the selectedarea, PAPD4 failed tomergewith DAPI (white arrows). (E) However, PAPD4 accumulated in neuronal nuclei in the CA1 region of themature hippocampus. Pixel intensity profiles revealedthe spatialmatchof green andblue channels. (F–H)Under highmagnification of the selected area, PAPD4was observed to colocalizewithDAPI. (I, J) Scattergrams represent the correlationbetween green and blue channels in E21 and P60 images, with all pixel intensities combinations of both channels. (K) Quantitative analysis of E21 and P60 hippocampi revealed a signif-icant difference in Pearson's correlation. Bars represent standard errors of the mean. *P b 0.01 by t test. Scale bar: 25 μm.

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was observed (0.67 ± 0.02) in the P60 hippocampus, suggesting a pre-dominantly nuclear localization. Statistical significance was obtained(P b 0.01), which revealed that PAPD4 translocates from the cytosol tothe nucleus as development progresses (Figs. 7, I–K).

XRN2 and PAPD4 are virtually absent in glial and endothelial cells

Considering that XRN2 and PAPD4 accumulate along with neuronaldifferentiation, we subsequently evaluated whether these proteins arealso expressed in other differentiated cells. Double-labeling experi-ments using anti-GFAP (Figs. 8 and 9) and anti-eNOS (Fig. 10) wereperformed to determine whether these proteins are expressed in glialand endothelial cells, respectively.

Meanpixel intensity analyses (n = 3) performed at P5 (Figs. 8, A–E)and P60 (Figs. 8, F–J) revealed XRN2 to be almost nearly absent in GFAP-positive cells compared with that in GFAP-negative cells, both at P5

(0.31 ± 0.05 vs. 1.53 ± 0.08, P b 0.001) and P60 (0.37 ± 0.03 vs.1.54 ± 0.11, P b 0.001). Similar results were observed for PAPD4 at P5(Figs. 9, A–E) and P60 (Figs. 9, F–J), in GFAP-positive and GFAP-negative cells at P5 (0.22 ± 0.004 vs. 1.51 ± 0.03, P b 0.001) and P60(0.33 ± 0.04 vs. 1.5 ± 0.05, P b 0.001).

In coronal P60 hippocampal sections, eNOS-labeled vessels were ob-served in all regions analyzed along with endothelial cells with typicalelongated nuclei. Experiments using anti-eNOS (n = 4) revealed thatboth XRN2 (Figs. 10, A–D) and PAPD4 (Figs. 10, E–H) do not accumulatein endothelial cells.

XRN2 and PAPD4 accumulate in calretinin-containing hippocampalinterneurons

After we determined the presence of XRN2 and PAPD4 in differ-entiated and mature neurons, we subsequently investigated in which

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Fig. 8. XRN2 is virtually absent in astrocytes from the developing and adult hippocampi. To verify the presence of XRN2 immunolabeling (green) in astrocytes from the hippocampus, weperformed double-labeling experiments on coronal sections of P5 and P60 hippocampi using anti-glial fibrillary acidic protein (GFAP, red), followed by counter-stainingwith DAPI (blue).(A) At P5, GFAP-positive cells (white arrows) were weakly immunoreactive for XRN2. (B–D) Under high magnification of the selected area, we observed faint XRN2 immunolabeling ofglial cell nuclei (blue arrows), as opposed to the bright staining of GFAP-negative cells (blue arrowheads). (E) Quantification of pixel intensity revealed a significant difference in XRN2labeling betweenGFAP-positive and -negative cells in the P5 hippocampus. (F) In the P60hippocampus, XRN2 immunolabelingwas virtually absent in glial cell nuclei (white arrowheads).(G–I) Under highmagnification of the selected area, we observed XRN2 to weakly accumulate in GFAP-positive cells (red arrow) compared with that in GFAP-negative cells (red arrow-heads). (J) Quantification of pixel intensity revealed a significant difference in XRN2 immunolabeling between GFAP-positive and -negative cells in the P60 hippocampus. Bars representstandard errors of the mean. *P b 0.001 in t test. Scale bar: 25 μm.

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specific neuronal subpopulations of the adult hippocampus these pro-teins were expressed. For this purpose, we performed double-labelingexperiments using anti-calretinin (CR), a calcium binding protein that ismostly present in interneurons specializing in the control of otherGABAergic interneurons (Gulyas et al., 1996), the so-called interneuron-specific interneurons (Chamberland and Topolnik, 2012). We could ob-serve that CR-positive neurons in CA1, CA3, and DG regions are labeledwith bothXRN2 (Figs. 11, A–E) andPAPD4 (Figs. 11, F–J). After combiningthe pixel intensity profiles and digital zooming followed by RGB decom-position data from the CA1 region, we indicated that XRN2 and PAPD4are present in those cells. Moreover, quantification of pixel intensities(n = 3) revealed the labeling of XRN2 (0.95 ± 0.25 vs. 0.96 ± 0.07)and PAPD4 (1.08 ± 0.24 vs. 0.84 ± 0.11) to be similar between CR-

Fig. 9.PAPD4 is virtually absent in astrocytes from thedeveloping and adult hippocampi. To veridouble-labeling experiments using GFAP (red) on coronal sections of P5 and P60 hippocampiGFAP-positive cells (white arrows). (B–D) Under high magnification of the selected area, we oGFAP-negative cells (blue arrowheads). (E) Quantification of pixel intensity revealed the PAPDP5 hippocampus. (F) Similarly, we did not observe PAPD4 immunolabeling in glial cells from tarea, we observed PAPD4 staining to be virtually absent inmost GFAP-positive cells (red arrow)of pixel intensity revealed the PAPD4 signal to beweaker in GFAP-positive than in GFAP-negatit test. Scale bar: 25 μm.

positive and -negative cells. In both cases, no significant differenceswere observed using paired t test.

PAPD4 is highly expressed in interneurons that are specifically responsiblefor regulating the input integration of pyramidal cells

To further examine the expression of XRN2 and PAPD4 in specificneuronal subpopulations, we conducted double-labeling experimentsusing anti-parvalbumin (PV), another calcium binding protein. PV isexpressed in a subset of interneurons that innervate distinct domainsof pyramidal cells (Klausberger et al., 2003; Somogyi and Klausberger,2005), promoting a highly coordinated input integration of these cells.We detected XRN2 and PAPD4 labeling in PV-positive cells in all regions

fy thepresence of PAPD4 immunolabeling (green) inhippocampal glial cells,we performed, followed by counter-staining with DAPI (blue). (A) PAPD4 labeling was not observed inbserved faint PAPD4 labeling in glial cells (blue arrows) as opposed to bright staining in4 signal to be weaker in GFAP-positive compared with that in GFAP-negative cells in thehe P60 hippocampus (white arrowheads). (G–I) Under high magnification of the selected; however, stainingwas strong in GFAP-negative cells (red arrowheads). (J) Quantificationve cells in the P60 hippocampus. Bars represent standard errors of themean. *P b 0.001 in

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Fig. 10. XRN2 and PAPD4 are not expressed in endothelial nitric oxide synthase (eNOS)-positive cells. We investigated whether XRN2 (green) is present in endothelial cells byperforming double-labeling experiments using anti-eNOS (red) on sections from the P60 hippocampus, followed by counter-staining with DAPI (blue). (A) In the hilus of thedentate gyrus (DG), we observed XRN2 labeling to be virtually absent in elongated nuclei of endothelial cells. The pixel intensity profile revealed no overlap among green,red, and blue signals, indicating the absence of XRN2 labeling from eNOS-positive cells. (B–D) Under high magnification of the selected area, we observed no accumulation ofXRN2 eNOS-positive cells (white arrow), as opposed to eNOS-negative cells (white arrowheads), which clearly accumulated XRN2. (E) The identification of PAPD4 (green) inendothelial cells (red) was performed using a similar approach. The pixel intensity profile revealed no overlap among green, red and blue channels, indicating that PAPD4 isvirtually absent in endothelial cells. (F–H) Under high magnification of the selected area, we observed no accumulation of PAPD4 in eNOS-positive cells (white arrows), asopposed to eNOS-negative cells (white arrowheads), which accumulated PAPD4. Scale bar: 25 μm.

Fig. 11. XRN2 and PAPD4 accumulate in calretinin (CR)-positive cells. (A) To determine which specific neuronal subpopulations express XRN2 (green), we performed double-labeling experiments using anti-CR (red) on coronal sections of the P60 hippocampus, followed by counter-staining with DAPI (blue). In a representative image of the CA1 re-gion, we observed XRN2 staining in CR-positive cells. In the pixel intensity profile, we observed an overlap between the red and green signals, confirming that CR-positive cellsaccumulate XRN2. (B–D) Under high magnification of the selected area, we observed CR-positive (white arrow) and -negative (white arrowheads) cells with similar labelingintensity. (E) Quantification of pixel intensity revealed no difference in the XRN2 signal between CR-positive and -negative cells. (F) We also examined the expression ofPAPD4 (green) in CR-positive cells from the P60 hippocampus. The pixel intensity profile revealed overlap between red and green channels, confirming PAPD4 accumulationin CR-positive cells. (G–I) In a highly magnified view of the selected area, we observed PAPD4 to be present in CR-positive (red arrow) and CR-negative (red arrowheads)cells. (J) Quantification of pixel intensity revealed similar PAPD4 signals in both CR-positive and -negative cells, although some CR-negative cells exhibited higher labelingintensity (blue arrowhead). Bars represent standard errors of the mean. Scale bar: 50 μm.

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Fig. 12. XRN2 and PAPD4 are differentially expressed in parvalbumin (PV)-positive cells. (A) To extend the analysis of specific neuronal subpopulations express XRN2 (green), weconducted double-labeling experiments using anti-PV (red) on coronal sections of the P60 hippocampus, followed by counter-staining with DAPI (blue). In the representative image ofthe CA1 region, we observed XRN2 staining in PV-positive cells. The pixel intensity profile revealed an overlap between green and red signals. (B–D) Under high magnifications of theselected area, we observed a similar XRN2 staining intensity in PV-positive (white arrow) and -negative cells (white arrowheads). (E) Quantification of pixel intensity revealed no signif-icant difference in XRN2 labeling, indicating similar protein levels in PV-positive and -negative cells. (F) The identification of PAPD4 (green) in PV-positive and -negative cells wasperformed using a similar approach. Quantification of the pixel intensity profile revealed PAPD4 to be present in PV-positive cells, in agreement with the overlay of green and red signals.(G–I) Under high magnifications of the selected area, we observed PAPD4 accumulation to be higher in PV-positive (red arrow) than in PV-negative (red arrowheads) cells. (J) Quantifi-cation of pixel intensity confirmed PAPD4 labeling to be higher in PV-positive cells. Bars represent standard errors of the mean. *P b 0.01 in t test. Scale bar: 50 μm.

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analyzed in this study. After combining pixel intensity profiles and dig-ital zooming followed by RGB decomposition data, we indicated thatXRN2 (Figs. 12, A–E) and PAPD4 (Figs. 12, F–J) exhibit a differential

Fig. 13. XRN2 and PAPD4 actions on miRNA and miRNA precursors based on the maturationimmature neurons, miRNA biosynthesis follows a well-described process. In the nucleus, pri-mmolecule is translocated into cytosol with the participation of Exportin-5. In the cytosol, pre-mimiRNAs. One strand is selected for stable association with Argonaute (Ago2), and this strand sresults, PAPD4 is mainly located in the cytoplasmic compartment in immature principal neuroto the 3′-end of pre-miRNA and miRNA, stabilizing these molecules in the cytoplasm. (C) Repreneurons than in immature neurons. Thus, XRN2may be involved in the cleavage of miRNA precthe stabilization of miRNA precursors during development.

accumulation in PV-positive cells. Quantification of pixel intensities(n = 3) demonstrated no significant differences in XRN2 labeling inPV-positive and -negative cells (0.97 ± 0.1 vs. 1.13 ± 0.06). However,

stage of hippocampal neurons. (A) Representation of an immature pyramidal cell. (B) IniRNA interacts with Drosha and DGCR8, resulting in its editing to pre-miRNA. This hairpinRNA is cleaved by DICER and its RNA binding protein TRBP for final processing into matureerves as a guide to target and regulate specific mRNAs in the RISC complex. Based on ourns from the hippocampus. Therefore, PAPD4 may be involved in the addition of adeninesentation of a mature pyramidal cell. (D) XRN2 levels are higher in the nucleus of matureursors in differentiated neurons. This results in PAPD4 translocation into the nucleus and in

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when the same analysis was performed for PAPD4, we observed achange in PAPD4 labeling in PV-positive and -negative cells (1.56 ±0.2 vs. 0.75 ± 0.08, P b 0.01). Taken together, these results revealed ac-cumulation of PAPD4 in PV-positive interneurons.

Discussion

The control of gene expression in neurons has to be finely regulated,considering that these cells operate under a wide variety of conditions.In the nervous system, control of gene expression by miRNAs has beeninvestigated in several, distinct, physiological processes (Cao et al.,2006; Vreugdenhil and Berezikov, 2010). Recent studies have indicatedthat the specificity of these short nucleotide sequences for particularmRNAs follows a probabilistic, rather than a deterministic approach(Ragan et al., 2011). Consequently, specificity of miRNA related-activity on target genes depends on intracellular concentrations,which in turn depends on the balance between biosynthesis and degra-dation (Kai and Pasquinelli, 2010).

In this study, we reported the expression of newly investigatedgenes XRN2 and PAPD4 in the hippocampus. XRN2 is involved in theextinction of miRNA activity rather than in the clearance of inactivemiRNAs (Chatterjee and Grosshans, 2009). In contrast, PAPD4 is a regu-latory cytoplasmic poly(A) polymerase responsible for the 3′-terminaladenylation of pre-miRNA and miRNA (Katoh et al., 2009). Based onour results, XRN2 and PAPD4 accumulate in the same cells, althoughregulation of this process is unlikely because of common transcriptionfactors. This finding implies that post-transcriptional mechanisms maycontrol the presence of both proteins. Because the transcript levels ofXRN and PAPD4 are higher and uniform, respectively, during develop-ment comparedwith the adult,we hypothesize thatmiRNAsmay controlthe translational rate of both genes. Regardless of the precisemechanismunderlying this process, we cope with a rare, singular circumstancein biology: a coincident, almost complete intersected expression offunctionally-opposed genes, reinforcing that their antagonisticallydriven actions “make sense” if simultaneously present at the samecells (Burt and Trivers, 2008; Rowland and Peeper, 2006).

Based on our results, we propose a possible new mechanism thatcontrols miRNA expression. We are confident that immature (Figs. 13,A–B) and mature (Figs. 13, C–D) neurons are the only cell types in thecentral nervous system to exhibit such a mechanism, and this conclu-sion is based on the antagonist-driven actions of XRN2 and PAPD4.

Taking into account the roles attributed to miRNAs in cell differenti-ation (Andersson et al., 2010; Decembrini et al., 2009;Gao, 2008; Li et al.,2011; Zheng et al., 2010), it was surprising that both XRN2 and PAPD4were not expressed by neuronal progenitor cells. In contrast, the pres-ence of both proteins in the same hippocampal neurons depicts howgene expression in neuronal function is finely and specifically adjusteddepending on the ensuing physiological process. In agreement withour results, recent studies have demonstrated that translational controlof mRNAs in dendrites is essential for certain types of synaptic plasticitysuch as learning and memory (Lee et al., 2012; Udagawa et al., 2012).Despite this, control of gene expression in specific cells during physio-logical conditions remainspuzzling because of the specific neuronalwir-ing in the hippocampus. Therefore, regulation of the transcriptomeshould be examined on the basis of particular micro-circuitry-relatedroles. In this study, we determined that specific neuronal subtypes,namely CR- and PV-positive interneurons, differentially accumulateXRN2 and PAPD4, indicating a unique balance betweenmiRNA degrada-tion and stabilization in these cells. Considering the roles of CR- and PV-positive interneurons in inhibitory circuits (Markram et al., 2004;Zaitsev et al., 2005), it seems feasible that these cells exhibit refinedregulatory mechanisms of the transcriptome in developing and maturehippocampus. The regulation of synaptic activity has been associatedwith fast, promptmechanisms and involves the participation of miRNAssince neuronal activity rapidly induces the transcription of specificmiRNAs such as CREB-regulated miRNA-132 (Nudelman et al., 2010).

In addition, recent reports describe the critical role of PV-positive inter-neurons in hippocampal synchrony, spatial representations, and work-ing memory (Korotkova et al., 2010). In conclusion, it is believed thatXRN2 and PAPD4 are involved in a mechanism that controls miRNA-related activities in the nervous system.

Acknowledgments

The authors would like to thank Marjorie Santos, Soha Chabrawi,Vivian Weber, Fausto Zuzarte, Vera Paschon, Lais Walter, and BiancaSantos for the scientific discussions, and Michael Araújo and GiseleSilva for the technical assistance.

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