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microRNA-128a dysregulation in transgenic Huntington’s disease monkeys

Kocerha, Jannet, Xu, Yan, Prucha, Melinda S, Zhao, Dongming, Chan, Anthony WS·2014·Molecular Brain

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Figure 1 Genotype and miRNA profiling analysis from HD monkey brains and human miR-128a expression.A) Genomic DNA (gDNA) was isolated from the frontal cortex of 3 GFP control (C1-C3) and 8 HD monkeys (HD1-HD8). The gDNA was amplified using specific primers for mHTT and the PCR product was analyzed by gel electrophoresis. B) The fold change of HTT mRNA levels for the HD monkeys compared to the controls was quantitated by qPCR. C) Cluster diagram for dysregulated miRNAs in HD transgenic cortex. miRNA expression values (Log2 transformed & normalized microarray probe intensities) of the dysregulated microRNAs (P value < 0.05) in the HD and GFP control monkey cortex were median centered. Green squares represent lower than median levels of gene expression; black squares represent median levels of gene expression; red squares represent higher than median levels of gene expression. Legend units: 1.0 = differs from median probe intensity by one log 2 unit (2-fold). D) qPCR validation for the expression of 4 of the 5 miRNAs with significant Ingenuity analysis association to the HD pathway (miR-940 also showed association with the HD pathway, however, no Taqman assays were commercially available). T-test was used to determine significant differences between HD and control monkeys (P Value < 0.05 indicated by *). E) Expression of miR-128a was quantitated from control, pre-symptomatic (HD), and post-symptomatic (HD) human striatum samples. Total RNA was extracted and probed with specific Taqman primers to miR-128 for qPCR. T-tests were used to determine significant differences compared to the control group (P Value < 0.05 indicated by *).
Figure 1 Genotype and miRNA profiling analysis from HD monkey brains and human miR-128a expression.A) Genomic DNA (gDNA) was isolated from the frontal cortex of 3 GFP control (C1-C3) and 8 HD monkeys (HD1-HD8). The gDNA was amplified using specific primers for mHTT and the PCR product was analyzed by gel electrophoresis. B) The fold change of HTT mRNA levels for the HD monkeys compared to the controls was quantitated by qPCR. C) Cluster diagram for dysregulated miRNAs in HD transgenic cortex. miRNA expression values (Log2 transformed & normalized microarray probe intensities) of the dysregulated microRNAs (P value < 0.05) in the HD and GFP control monkey cortex were median centered. Green squares represent lower than median levels of gene expression; black squares represent median levels of gene expression; red squares represent higher than median levels of gene expression. Legend units: 1.0 = differs from median probe intensity by one log 2 unit (2-fold). D) qPCR validation for the expression of 4 of the 5 miRNAs with significant Ingenuity analysis association to the HD pathway (miR-940 also showed association with the HD pathway, however, no Taqman assays were commercially available). T-test was used to determine significant differences between HD and control monkeys (P Value < 0.05 indicated by *). E) Expression of miR-128a was quantitated from control, pre-symptomatic (HD), and post-symptomatic (HD) human striatum samples. Total RNA was extracted and probed with specific Taqman primers to miR-128 for qPCR. T-tests were used to determine significant differences compared to the control group (P Value < 0.05 indicated by *).CC BY · PubMed Central
Figure 2 Expression of mHTT in monkey frontal cortex. A) Brain sections of HD monkey (rHD4, rHD7 and rHD8) and GFP monkey (C1 and C3) were immunostained with mEM48. Low magnification (upper panels, 40×) and high magnification (lower panels, 100×) shows that mHTT forms intranuclear inclusions (arrows) and neuropil aggregates (arrowheads). B) mEM48 immunoblot of frontal cortex showed high-molecular-mass mutant HTT aggregate (arrow) in the stacking gel. γ- tubulin was used as an internal control. C) Quantification of the mHTT aggregate in the stacking gel showed the relative level of mHTT aggregates in the frontal cortex. All HD monkeys have significantly higher level of mHTT aggregate compared to the controls. D) The percentage of mEM48 positive cells with or without intranuclear inclusions was calculated and compared among HD monkey frontal cortex immunostained with mEM48. HD7 has significantly more nuclei with intranuclear inclusions than HD4 and HD8. The data was presented as mean ± SE. *P < 0.05.
Figure 2 Expression of mHTT in monkey frontal cortex. A) Brain sections of HD monkey (rHD4, rHD7 and rHD8) and GFP monkey (C1 and C3) were immunostained with mEM48. Low magnification (upper panels, 40×) and high magnification (lower panels, 100×) shows that mHTT forms intranuclear inclusions (arrows) and neuropil aggregates (arrowheads). B) mEM48 immunoblot of frontal cortex showed high-molecular-mass mutant HTT aggregate (arrow) in the stacking gel. γ- tubulin was used as an internal control. C) Quantification of the mHTT aggregate in the stacking gel showed the relative level of mHTT aggregates in the frontal cortex. All HD monkeys have significantly higher level of mHTT aggregate compared to the controls. D) The percentage of mEM48 positive cells with or without intranuclear inclusions was calculated and compared among HD monkey frontal cortex immunostained with mEM48. HD7 has significantly more nuclei with intranuclear inclusions than HD4 and HD8. The data was presented as mean ± SE. *P < 0.05.CC BY · PubMed Central
Figure 3 Neuropathology in HD monkey frontal cortex. A-F) An increased number of caspase-3 positive cells in frontal cortex of HD monkeys (D-E) was observed when compared with control monkeys (A-B). C) Quantification of caspase-3 positive cells in HD and control monkey frontal cortex showed significant difference between HD monkeys (HD7 and HD8) and control monkey (C1 or C3). However, no difference was observed between HD4 and the controls. The data are presented as mean ± SE. *P < 0.05 compared with C1, and #P < 0.05 compared with C3. G-L) An increased number and intensity of GFAP positive cells was observed in HD monkeys (HD7 and HD8) but not in HD4 (J-L). High magnification (inserts) showed reactive astrocytes in HD7 and HD8 with strong GFAP staining. Quantification of GFAP expression in the HD monkey frontal cortex showed significant increase expression of GFAP in HD7 and HD8 but not in HD4. The data were presented as mean ± SE. *P < 0.05
Figure 3 Neuropathology in HD monkey frontal cortex. A-F) An increased number of caspase-3 positive cells in frontal cortex of HD monkeys (D-E) was observed when compared with control monkeys (A-B). C) Quantification of caspase-3 positive cells in HD and control monkey frontal cortex showed significant difference between HD monkeys (HD7 and HD8) and control monkey (C1 or C3). However, no difference was observed between HD4 and the controls. The data are presented as mean ± SE. *P < 0.05 compared with C1, and #P < 0.05 compared with C3. G-L) An increased number and intensity of GFAP positive cells was observed in HD monkeys (HD7 and HD8) but not in HD4 (J-L). High magnification (inserts) showed reactive astrocytes in HD7 and HD8 with strong GFAP staining. Quantification of GFAP expression in the HD monkey frontal cortex showed significant increase expression of GFAP in HD7 and HD8 but not in HD4. The data were presented as mean ± SE. *P < 0.05CC BY · PubMed Central
Figure 4 In-vitro analysis of HD-associated miR-128a gene targets. The regulation of the 3’-UTR activity by miR-128 for (A) HIP-1, (B) HTT, (C) SP-1, and (D) GRM-5 was evaluated in 293-FT cells. 293-FT cells were co-transfected with 10 nM pre-miR-128a or negative control (NC) as well as luciferase reporter constructs containing the WT or mutant (MUT) 3’- predicted miR-128a binding site for each of the genes. Relative luciferase activity data were normalized as a percentage of plasmid-only control levels (100%) for each 3’-UTR construct. One-way ANOVA followed by Tukey’s post-hoc testing confirmed that miR-128a exposure resulted in significant reduction (p < 0.001) in 3’-UTR activity for each WT construct (as compared to NC); no significant differences between treatments were detected in MUT constructs.
Figure 4 In-vitro analysis of HD-associated miR-128a gene targets. The regulation of the 3’-UTR activity by miR-128 for (A) HIP-1, (B) HTT, (C) SP-1, and (D) GRM-5 was evaluated in 293-FT cells. 293-FT cells were co-transfected with 10 nM pre-miR-128a or negative control (NC) as well as luciferase reporter constructs containing the WT or mutant (MUT) 3’- predicted miR-128a binding site for each of the genes. Relative luciferase activity data were normalized as a percentage of plasmid-only control levels (100%) for each 3’-UTR construct. One-way ANOVA followed by Tukey’s post-hoc testing confirmed that miR-128a exposure resulted in significant reduction (p < 0.001) in 3’-UTR activity for each WT construct (as compared to NC); no significant differences between treatments were detected in MUT constructs.CC BY · PubMed Central

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Research works printed but not linked: 51

  1. Bartel DP: MicroRNAs: target recognition and regulatory functions. Cell. 2009, 136: 215-233. 10.1016/j.cell.2009.01.002. · DOI · Paper page
  2. Beveridge NJ, Cairns MJ: MicroRNA dysregulation in schizophrenia. Neurobiol Dis. 2012, 46: 263-271. 10.1016/j.nbd.2011.12.029. · DOI
  3. Shi Y, Zhao X, Hsieh J, Wichterle H, Impey S, Banerjee S, Neveu P, Kosik KS: MicroRNA regulation of neural stem cells and neurogenesis. J Neurosci. 2010, 30: 14931-14936. 10.1523/JNEUROSCI.4280-10.2010. · DOI
  4. Gao FB: Context-dependent functions of specific microRNAs in neuronal development. Neural Dev. 2010, 5: 25-10.1186/1749-8104-5-25. · DOI
  5. Fiore R, Khudayberdiev S, Saba R, Schratt G: MicroRNA function in the nervous system. Prog Mol Biol Transl Sci. 2011, 102: 47-100. · DOI
  6. Vo NK, Cambronne XA, Goodman RH: MicroRNA pathways in neural development and plasticity. Curr Opin Neurobiol. 2010, 20: 457-465. 10.1016/j.conb.2010.04.002. · DOI
  7. Li X, Jin P: Roles of small regulatory RNAs in determining neuronal identity. Nat Rev Neurosci. 2010, 11: 329-338. 10.1038/nrn2739. · DOI · Paper page
  8. Im HI, Kenny PJ: MicroRNAs in neuronal function and dysfunction. Trends Neurosci. 2012, 35: 325-334. 10.1016/j.tins.2012.01.004. · DOI · Paper page
  9. Kocerha J, Kauppinen S, Wahlestedt C: microRNAs in CNS disorders. Neuromolecular Med. 2009, 11: 162-172. 10.1007/s12017-009-8066-1. · DOI
  10. Beveridge NJ, Gardiner E, Carroll AP, Tooney PA, Cairns MJ: Schizophrenia is associated with an increase in cortical microRNA biogenesis. Mol Psychiatry. 2010, 15: 1176-1189. 10.1038/mp.2009.84. · DOI
  11. Kocerha J, Faghihi MA, Lopez-Toledano MA, Huang J, Ramsey AJ, Caron MG, Sales N, Willoughby D, Elmen J, Hansen HF, Orum H, Kauppinen S, Kenny PJ, Wahlestedt C: MicroRNA-219 modulates NMDA receptor-mediated neurobehavioral dysfunction. Proc Natl Acad Sci U S A. 2009, 106: 3507-3512. 10.1073/pnas.0805854106. · DOI
  12. Kocerha J, Kouri N, Baker M, Finch N, DeJesus-Hernandez M, Gonzalez J, Chidamparam K, Josephs KA, Boeve BF, Graff-Radford NR, Crook J, Dickson DW, Rademakers R: Altered microRNA expression in frontotemporal lobar degeneration with TDP-43 pathology caused by progranulin mutations. BMC Genomics. 2011, 12: 527-10.1186/1471-2164-12-527. · DOI
  13. Hollander JA, Im HI, Amelio AL, Kocerha J, Bali P, Lu Q, Willoughby D, Wahlestedt C, Conkright MD, Kenny PJ: Striatal microRNA controls cocaine intake through CREB signalling. Nature. 2010, 466: 197-202. 10.1038/nature09202. · DOI
  14. Mouradian MM: MicroRNAs in Parkinson’s disease. Neurobiol Dis. 2012, 46: 279-284. 10.1016/j.nbd.2011.12.046. · DOI
  15. Hebert SS, Horre K, Nicolai L, Papadopoulou AS, Mandemakers W, Silahtaroglu AN, Kauppinen S, Delacourte A, De Strooper B: Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer’s disease correlates with increased BACE1/beta-secretase expression. Proc Natl Acad Sci U S A. 2008, 105: 6415-6420. 10.1073/pnas.0710263105. · DOI · Paper page
  16. Jin P, Alisch RS, Warren ST: RNA and microRNAs in fragile X mental retardation. Nat Cell Biol. 2004, 6: 1048-1053. 10.1038/ncb1104-1048. · DOI
  17. Chan AW, Kocerha J: The Path to microRNA Therapeutics in Psychiatric and Neurodegenerative Disorders. Front Genet. 2012, 3: 82- · DOI
  18. Ross CA, Tabrizi SJ: Huntington’s disease: from molecular pathogenesis to clinical treatment. Lancet Neurol. 2011, 10: 83-98. 10.1016/S1474-4422(10)70245-3. · DOI
  19. Cajavec B, Herzel H, Bernard S: Death of neuronal clusters contributes to variance of age at onset in Huntington’s disease. Neurogenetics. 2006, 7: 21-25. 10.1007/s10048-005-0025-x. · DOI
  20. Squitieri F, Frati L, Ciarmiello A, Lastoria S, Quarrell O: Juvenile Huntington’s disease: does a dosage-effect pathogenic mechanism differ from the classical adult disease?. Mech Ageing Dev. 2006, 127: 208-212. 10.1016/j.mad.2005.09.012. · DOI
  21. Gaughwin PM, Ciesla M, Lahiri N, Tabrizi SJ, Brundin P, Bjorkqvist M: Hsa-miR-34b is a plasma-stable microRNA that is elevated in pre-manifest Huntington’s disease. Hum Mol Genet. 2011, 20: 2225-2237. 10.1093/hmg/ddr111. · DOI · Paper page
  22. Lee ST, Chu K, Im WS, Yoon HJ, Im JY, Park JE, Park KH, Jung KH, Lee SK, Kim M, Roh JK: Altered microRNA regulation in Huntington’s disease models. Exp Neurol. 2011, 227: 172-179. 10.1016/j.expneurol.2010.10.012. · DOI · Paper page
  23. Marti E, Pantano L, Banez-Coronel M, Llorens F, Minones-Moyano E, Porta S, Sumoy L, Ferrer I, Estivill X: A myriad of miRNA variants in control and Huntington’s disease brain regions detected by massively parallel sequencing. Nucleic Acids Res. 2010, 38: 7219-7235. 10.1093/nar/gkq575. · DOI · Paper page
  24. Jovicic A, Zaldivar Jolissaint JF, Moser R, Silva Santos Mde F, Luthi-Carter R: MicroRNA-22 (miR-22) overexpression is neuroprotective via general anti-apoptotic effects and may also target specific Huntington’s disease-related mechanisms. PLoS One. 2013, 8: e54222-10.1371/journal.pone.0054222. · DOI
  25. Soldati C, Bithell A, Johnston C, Wong KY, Stanton LW, Buckley NJ: Dysregulation of REST-regulated coding and non-coding RNAs in a cellular model of Huntington’s disease. J Neurochem. 2013, 124: 418-430. 10.1111/jnc.12090. · DOI
  26. Jin J, Cheng Y, Zhang Y, Wood W, Peng Q, Hutchison E, Mattson MP, Becker KG, Duan W: Interrogation of brain miRNA and mRNA expression profiles reveals a molecular regulatory network that is perturbed by mutant huntingtin. J Neurochem. 2012, 123: 477-490. 10.1111/j.1471-4159.2012.07925.x. · DOI · Paper page
  27. Kocerha J, Liu Y, Willoughby D, Chidamparam K, Benito J, Nelson K, Xu Y, Chi T, Engelhardt H, Moran S, Yang SH, Li SH, Li XJ, Larkin K, Neumann A, Banta H, Yang JJ, Chan AW: Longitudinal transcriptomic dysregulation in the peripheral blood of transgenic Huntington’s disease monkeys. BMC Neurosci. 2013, 14: 88-10.1186/1471-2202-14-88. · DOI
  28. Putkhao K, Kocerha J, Cho IK, Yang J, Parnpai R, Chan AW: Pathogenic cellular phenotypes are germline transmissible in a transgenic primate model of Huntington’s disease. Stem Cells Dev. 2013, 22: 1198-1205. 10.1089/scd.2012.0469. · DOI
  29. Pouladi MA, Xie Y, Skotte NH, Ehrnhoefer DE, Graham RK, Kim JE, Bissada N, Yang XW, Paganetti P, Friedlander RM, Leavitt BR, Hayden MR: Full-length huntingtin levels modulate body weight by influencing insulin-like growth factor 1 expression. Hum Mol Genet. 2010, 19: 1528-1538. 10.1093/hmg/ddq026. · DOI
  30. Cohen E, Dillin A: The insulin paradox: aging, proteotoxicity and neurodegeneration. Nat Rev Neurosci. 2008, 9: 759-767. 10.1038/nrn2474. · DOI
  31. Evangelisti C, Florian MC, Massimi I, Dominici C, Giannini G, Galardi S, Bue MC, Massalini S, McDowell HP, Messi E, Gulino A, Farace MG, Ciafrè SA: MiR-128 up-regulation inhibits Reelin and DCX expression and reduces neuroblastoma cell motility and invasiveness. FASEB J. 2009, 23: 4276-4287. 10.1096/fj.09-134965. · DOI · Paper page
  32. Papagiannakopoulos T, Friedmann-Morvinski D, Neveu P, Dugas JC, Gill RM, Huillard E, Liu C, Zong H, Rowitch DH, Barres BA, Verma IM, Kosik KS: Pro-neural miR-128 is a glioma tumor suppressor that targets mitogenic kinases. Oncogene. 2012, 31: 1884-1895. 10.1038/onc.2011.380. · DOI · Paper page
  33. Tan CL, Plotkin JL, Veno MT, Von Schimmelmann M, Feinberg P, Mann S, Handler A, Kjems J, Surmeier DJ, O’Carroll D, Greengard P, Schaefer A: MicroRNA-128 governs neuronal excitability and motor behavior in mice. Science. 2013, 342: 1254-1258. 10.1126/science.1244193. · DOI · Paper page
  34. Cloud LJ, Rosenblatt A, Margolis RL, Ross CA, Pillai JA, Corey-Bloom J, Tully HM, Bird T, Panegyres PK, Nichter CA, Higgins DS, Helmers SL, Factor SA, Jones R, Testa CM: Seizures in juvenile Huntington’s disease: frequency and characterization in a multicenter cohort. Mov Disord. 2012, 27: 1797-1800. 10.1002/mds.25237. · DOI
  35. Franciosi S, Shim Y, Lau M, Hayden MR, Leavitt BR: A systematic review and meta-analysis of clinical variables used in Huntington disease research. Mov Disord. 2013, 28: 1987-1994. 10.1002/mds.25663. · DOI
  36. Gantois I, Fang K, Jiang L, Babovic D, Lawrence AJ, Ferreri V, Teper Y, Jupp B, Ziebell J, Morganti-Kossmann CM, O'Brien TJ, Nally R, Schütz G, Waddington J, Egan GF, Drago J: Ablation of D1 dopamine receptor-expressing cells generates mice with seizures, dystonia, hyperactivity, and impaired oral behavior. Proc Natl Acad Sci U S A. 2007, 104: 4182-4187. 10.1073/pnas.0611625104. · DOI
  37. Adlakha YK, Saini N: miR-128 exerts pro-apoptotic effect in a p53 transcription-dependent and -independent manner via PUMA-Bak axis. Cell Death Dis. 2013, 4: e542-10.1038/cddis.2013.46. · DOI
  38. Adlakha YK, Saini N: MicroRNA-128 downregulates Bax and induces apoptosis in human embryonic kidney cells. Cell Mol Life Sci. 2011, 68: 1415-1428. 10.1007/s00018-010-0528-y. · DOI
  39. Almeida S, Sarmento-Ribeiro AB, Januario C, Rego AC, Oliveira CR: Evidence of apoptosis and mitochondrial abnormalities in peripheral blood cells of Huntington’s disease patients. Biochem Biophys Res Commun. 2008, 374: 599-603. 10.1016/j.bbrc.2008.07.009. · DOI
  40. Teles AV, Rosenstock TR, Okuno CS, Lopes GS, Bertoncini CR, Smaili SS: Increase in bax expression and apoptosis are associated in Huntington’s disease progression. Neurosci Lett. 2008, 438: 59-63. 10.1016/j.neulet.2008.03.062. · DOI
  41. Yang D, Wang CE, Zhao B, Li W, Ouyang Z, Liu Z, Yang H, Fan P, O’Neill A, Gu W, Yi H, Li S, Lai L, Li XJ: Expression of Huntington’s disease protein results in apoptotic neurons in the brains of cloned transgenic pigs. Hum Mol Genet. 2010, 19: 3983-3994. 10.1093/hmg/ddq313. · DOI
  42. Bhattacharyya NP, Banerjee M, Majumder P: Huntington’s disease: roles of huntingtin-interacting protein 1 (HIP-1) and its molecular partner HIPPI in the regulation of apoptosis and transcription. FEBS J. 2008, 275: 4271-4279. 10.1111/j.1742-4658.2008.06563.x. · DOI
  43. D’Amelio M, Cavallucci V, Cecconi F: Neuronal caspase-3 signaling: not only cell death. Cell Death Differ. 2010, 17: 1104-1114. 10.1038/cdd.2009.180. · DOI
  44. Mazumder S, Plesca D, Almasan A: Caspase-3 activation is a critical determinant of genotoxic stress-induced apoptosis. Methods Mol Biol. 2008, 414: 13-21.
  45. Muinos-Gimeno M, Guidi M, Kagerbauer B, Martin-Santos R, Navines R, Alonso P, Menchon JM, Gratacos M, Estivill X, Espinosa-Parrilla Y: Allele variants in functional MicroRNA target sites of the neurotrophin-3 receptor gene (NTRK3) as susceptibility factors for anxiety disorders. Hum Mutat. 2009, 30: 1062-1071. 10.1002/humu.21005. · DOI
  46. Guidi M, Muinos-Gimeno M, Kagerbauer B, Marti E, Estivill X, Espinosa-Parrilla Y: Overexpression of miR-128 specifically inhibits the truncated isoform of NTRK3 and upregulates BCL2 in SH-SY5Y neuroblastoma cells. BMC Mol Biol. 2010, 11: 95-10.1186/1471-2199-11-95. · DOI
  47. Zhang Y, Chao T, Li R, Liu W, Chen Y, Yan X, Gong Y, Yin B, Qiang B, Zhao J, Yuan J, Peng X: MicroRNA-128 inhibits glioma cells proliferation by targeting transcription factor E2F3a. J Mol Med. 2009, 87: 43-51. 10.1007/s00109-008-0403-6. · DOI · Paper page
  48. Nguyen LS, Wilkinson MF, Gecz J: Nonsense-mediated mRNA decay: inter-individual variability and human disease. Neurosci Biobehav Rev. 2013, doi:10.1016/j.neubiorev.2013.10.016. [Epub ahead of print] · DOI
  49. Bruno IG, Karam R, Huang L, Bhardwaj A, Lou CH, Shum EY, Song HW, Corbett MA, Gifford WD, Gecz J, Pfaff SL, Wilkinson MF: Identification of a microRNA that activates gene expression by repressing nonsense-mediated RNA decay. Mol Cell. 2011, 42: 500-510. 10.1016/j.molcel.2011.04.018. · DOI
  50. Yang SH, Cheng PH, Banta H, Piotrowska-Nitsche K, Yang JJ, Cheng EC, Snyder B, Larkin K, Liu J, Orkin J, Fang ZH, Smith Y, Bachevalier J, Zola SM, Li SH, Li XJ, Chan AW: Towards a transgenic model of Huntington’s disease in a non-human primate. Nature. 2008, 453: 921-924. 10.1038/nature06975. · DOI
  51. Wang CE, Tydlacka S, Orr AL, Yang SH, Graham RK, Hayden MR, Li S, Chan AW, Li XJ: Accumulation of N-terminal mutant huntingtin in mouse and monkey models implicated as a pathogenic mechanism in Huntington’s disease. Hum Mol Genet. 2008, 17: 2738-2751. 10.1093/hmg/ddn175. · DOI

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Authors
Kocerha, J., Xu, Y., Prucha, M. S., Zhao, D., & Chan, A. W.
Venue
Molecular Brain
Published
2014-06-13
Volume
7
Issue
1
ISSN
1756-6606
Cited by
75
References
3
Language
en

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Kocerha, J., Xu, Y., Prucha, M. S., Zhao, D., & Chan, A. W. (2014). microRNA-128a dysregulation in transgenic Huntington’s disease monkeys. Molecular Brain. https://doi.org/10.1186/1756-6606-7-46