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REST suppression mediates neural conversion of adult human fibroblasts via microRNA‐dependent and ‐independent pathways

Drouin‐Ouellet, Janelle, Lau, Shong, Brattås, Per Ludvik, Rylander Ottosson, Daniella, Pircs, Karolina, Grassi, Daniela A, Collins, Lucy M, Vuono, Romina, Andersson Sjöland, Annika, Westergren‐Thorsson, Gunilla, Graff, Caroline, Minthon, Lennart, Toresson, Håkan, Barker, Roger A, Jakobsson, Johan, Parmar, Malin·2017·EMBO Molecular Medicine

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Figure 1 Bicistronic approach successfully reprograms fetal fibroblasts but fails to reprogram adult fibroblasts AVector maps of constructs containing the neural conversion factors ASCL1 coding for MASH1 and BRN2 as well as woodchuck hepatitis posttranscriptional element (WPRE) at different positions.BQuantitative analysis showing the difference in fluorescence intensity of ASCL1 (red bar graphs) and BRN2 (yellow bar graphs) following transduction with the different constructs.C, DRepresentative images of double‐immunofluorescent staining of ASCL1 (in green) and BRN2 (in red) (C) as well as MAP2 staining (D) showing the different expression levels of each transcription factor and the resulting neuronal conversion for each construct.EQuantification of the number of iNs converted 12 days after transduction with either Pgk.Ascl1 + Pgk.Brn2 + Pgk.Myt1L or pB.pA.FRNA‐seq analysis illustrating the fold changes in gene expression in fetal fibroblasts transduced with pB.pA as compared to untransduced cells, with genes that are significantly up‐ or down‐regulated marked as red dots.GGene ontology enrichment analysis reveals significant enrichment of neuronal genes (in bold) among the up‐regulated genes in the pB.pA‐transduced fetal fibroblasts.HRepresentative fluorescence images showing the MAP2 expression in fetal and adult fibroblasts (dermal and lung) reprogrammed with pB.pA.IFC correlation analysis and Venn diagram showing genes that are significantly changed in both adult and fetal pB.pA‐transduced cells (red) and significantly changed in fetal cells only (blue) or adult cells only (green) or not changed (black).JGene ontology enrichment analysis showing the genes associated with neurons (in bold) that are up‐regulated in the pB.pA‐transduced fetal fibroblasts but not in the adult fibroblasts transduced with pB.pA.Data information: Scale bars, 100 μm in (D), 50 μm in (H). ahDF, adult human dermal fibroblasts; ahFL, adult human lung fibroblasts; CTR, control. Data are expressed as mean ± SEM and are from biological replicates (n = 3). *P < 0.05. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.
Figure 1 Bicistronic approach successfully reprograms fetal fibroblasts but fails to reprogram adult fibroblasts AVector maps of constructs containing the neural conversion factors ASCL1 coding for MASH1 and BRN2 as well as woodchuck hepatitis posttranscriptional element (WPRE) at different positions.BQuantitative analysis showing the difference in fluorescence intensity of ASCL1 (red bar graphs) and BRN2 (yellow bar graphs) following transduction with the different constructs.C, DRepresentative images of double‐immunofluorescent staining of ASCL1 (in green) and BRN2 (in red) (C) as well as MAP2 staining (D) showing the different expression levels of each transcription factor and the resulting neuronal conversion for each construct.EQuantification of the number of iNs converted 12 days after transduction with either Pgk.Ascl1 + Pgk.Brn2 + Pgk.Myt1L or pB.pA.FRNA‐seq analysis illustrating the fold changes in gene expression in fetal fibroblasts transduced with pB.pA as compared to untransduced cells, with genes that are significantly up‐ or down‐regulated marked as red dots.GGene ontology enrichment analysis reveals significant enrichment of neuronal genes (in bold) among the up‐regulated genes in the pB.pA‐transduced fetal fibroblasts.HRepresentative fluorescence images showing the MAP2 expression in fetal and adult fibroblasts (dermal and lung) reprogrammed with pB.pA.IFC correlation analysis and Venn diagram showing genes that are significantly changed in both adult and fetal pB.pA‐transduced cells (red) and significantly changed in fetal cells only (blue) or adult cells only (green) or not changed (black).JGene ontology enrichment analysis showing the genes associated with neurons (in bold) that are up‐regulated in the pB.pA‐transduced fetal fibroblasts but not in the adult fibroblasts transduced with pB.pA.Data information: Scale bars, 100 μm in (D), 50 μm in (H). ahDF, adult human dermal fibroblasts; ahFL, adult human lung fibroblasts; CTR, control. Data are expressed as mean ± SEM and are from biological replicates (n = 3). *P < 0.05. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.CC BY · PubMed Central
Figure 2 REST knockdown promotes the pB.pA‐driven reprogramming of adult human fibroblasts qPCR analysis of REST gene expression.Representative immunofluorescence images showing a high density of MAP2+ cells in pB.pA + RESTi reprogrammed adult fibroblasts from different sources.Quantification of neuronal efficiency and purity of pB.pA + RESTi reprogrammed adult human dermal fibroblasts from five healthy donors (61–71 years).Quantification of neuronal efficiency and purity of an adult human dermal fibroblast line reprogrammed with pB.pA + RESTi at different passages.Double‐immunofluorescence stainings showing the expression of neuronal markers in iNs reprogrammed from adult fibroblasts 25 days post‐transduction with pB.pA + RESTi. In vitro patch‐clamp recordings of adult iNs depicting repetitive current‐induced action potentials indicative of mature neuronal physiology at 12–15 weeks post‐transduction.Presence of repetitive current‐induced action potentials and spontaneous postsynaptic currents in vivo 8 weeks following transplantation.Data information: Scale bars, 100 μm in (B), 25 μm in (E–G). ahDF, adult human dermal fibroblasts; ahFL, adult human lung fibroblasts; shREST, short hairpin RNA against REST. Data are expressed as mean ± SEM and are from biological replicates (n = 3–4). *P < 0.05, **P < 0.01. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.
Figure 2 REST knockdown promotes the pB.pA‐driven reprogramming of adult human fibroblasts qPCR analysis of REST gene expression.Representative immunofluorescence images showing a high density of MAP2+ cells in pB.pA + RESTi reprogrammed adult fibroblasts from different sources.Quantification of neuronal efficiency and purity of pB.pA + RESTi reprogrammed adult human dermal fibroblasts from five healthy donors (61–71 years).Quantification of neuronal efficiency and purity of an adult human dermal fibroblast line reprogrammed with pB.pA + RESTi at different passages.Double‐immunofluorescence stainings showing the expression of neuronal markers in iNs reprogrammed from adult fibroblasts 25 days post‐transduction with pB.pA + RESTi. In vitro patch‐clamp recordings of adult iNs depicting repetitive current‐induced action potentials indicative of mature neuronal physiology at 12–15 weeks post‐transduction.Presence of repetitive current‐induced action potentials and spontaneous postsynaptic currents in vivo 8 weeks following transplantation.Data information: Scale bars, 100 μm in (B), 25 μm in (E–G). ahDF, adult human dermal fibroblasts; ahFL, adult human lung fibroblasts; shREST, short hairpin RNA against REST. Data are expressed as mean ± SEM and are from biological replicates (n = 3–4). *P < 0.05, **P < 0.01. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.CC BY · PubMed Central
Figure 3 Neuronal microRNA expression partly drives neuronal reprogramming of adult fibroblasts AqPCR measurements of miR‐124 and miR‐9 in adult fibroblasts reprogrammed with pB.pA only or pB.pA + RESTi and normalized on the non‐transduced fibroblast values (yellow dashed line).BRegion‐specific microRNAs qPCR measurements in adult fibroblasts reprogrammed with pB.pA only or pB.pA + RESTi and normalized on the non‐transduced fibroblast values (yellow dashed line).CVector maps of constructs containing the transcription factors Ascl1 and Brn2 with and without miR‐9 and miR‐124, as well as the shRNA sequences against REST.DQuantification of the neuronal yield as assessed by MAP2 expression in adult fibroblasts transduced with different reprogramming vectors.E, FQuantification of the total number of cells as well as the percentage of TAU+ cells and the average fluorescence intensity in adult iNs with and without miR‐124 (E) or miR‐9 (F) knockdown.GRepresentative images of the high content screening target activation analysis showing the cells expressing mCherry (successfully transduced with the miRNA inhibition or control constructs) that have been included in the analysis of the TAU staining (white contours). Rejected nuclei are circled in yellow and valid nuclei that do not express mCherry exhibit blue contours.Data information: Scale bar, 50 μm in (G). CTR, control; KD, knockdown. Data are expressed as mean ± SEM and are from biological replicates (n = 3–4). **P < 0.01. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.
Figure 3 Neuronal microRNA expression partly drives neuronal reprogramming of adult fibroblasts AqPCR measurements of miR‐124 and miR‐9 in adult fibroblasts reprogrammed with pB.pA only or pB.pA + RESTi and normalized on the non‐transduced fibroblast values (yellow dashed line).BRegion‐specific microRNAs qPCR measurements in adult fibroblasts reprogrammed with pB.pA only or pB.pA + RESTi and normalized on the non‐transduced fibroblast values (yellow dashed line).CVector maps of constructs containing the transcription factors Ascl1 and Brn2 with and without miR‐9 and miR‐124, as well as the shRNA sequences against REST.DQuantification of the neuronal yield as assessed by MAP2 expression in adult fibroblasts transduced with different reprogramming vectors.E, FQuantification of the total number of cells as well as the percentage of TAU+ cells and the average fluorescence intensity in adult iNs with and without miR‐124 (E) or miR‐9 (F) knockdown.GRepresentative images of the high content screening target activation analysis showing the cells expressing mCherry (successfully transduced with the miRNA inhibition or control constructs) that have been included in the analysis of the TAU staining (white contours). Rejected nuclei are circled in yellow and valid nuclei that do not express mCherry exhibit blue contours.Data information: Scale bar, 50 μm in (G). CTR, control; KD, knockdown. Data are expressed as mean ± SEM and are from biological replicates (n = 3–4). **P < 0.01. Exact P‐values and statistical tests used to calculate them are provided in Appendix Table S4.CC BY · PubMed Central
Figure 4 Differences in gene expression between pB.pA + RESTi and pB.mir9/124.pA Graph illustrating the fold changes in gene expression in adult fibroblasts transduced with pB.pA + RESTi as compared to untransduced cells (genes that are significantly up‐ or down‐regulated marked as red dots).Graph illustrating the fold changes in gene expression in adult fibroblasts transduced with pB.mir9/124.pA as compared to untransduced cells (genes that are significantly up‐ or down‐regulated marked as red dots).FC correlation analysis showing the genes that are significantly changed in both pB.pA + RESTi‐ and pB.mir9/124.pA‐transduced cells (red) that are significantly changed in pB.mir9/124.pA‐transduced cells only (blue) or pB.pA + RESTi cells only (green) or unchanged (black).Venn diagram showing the genes that are significantly changed in both pB.pA + RESTi‐ and pB.mir9/124.pA‐transduced cells (red) that are significantly changed in pB.mir9/124.pA‐transduced cells only (blue) or pB.pA + RESTi cells only (green).
Figure 4 Differences in gene expression between pB.pA + RESTi and pB.mir9/124.pA Graph illustrating the fold changes in gene expression in adult fibroblasts transduced with pB.pA + RESTi as compared to untransduced cells (genes that are significantly up‐ or down‐regulated marked as red dots).Graph illustrating the fold changes in gene expression in adult fibroblasts transduced with pB.mir9/124.pA as compared to untransduced cells (genes that are significantly up‐ or down‐regulated marked as red dots).FC correlation analysis showing the genes that are significantly changed in both pB.pA + RESTi‐ and pB.mir9/124.pA‐transduced cells (red) that are significantly changed in pB.mir9/124.pA‐transduced cells only (blue) or pB.pA + RESTi cells only (green) or unchanged (black).Venn diagram showing the genes that are significantly changed in both pB.pA + RESTi‐ and pB.mir9/124.pA‐transduced cells (red) that are significantly changed in pB.mir9/124.pA‐transduced cells only (blue) or pB.pA + RESTi cells only (green).CC BY · PubMed Central
Figure 5 Enhanced neuronal gene up‐regulation in pB.pA + RESTi reprogrammed adult iNs Clustering of RNA‐seq samples, using euclidean distance on normalized and log‐transformed read counts.Principal component analysis showing a separation of the groups that reprogram well from those that do not on PC1 and a separation of the groups with REST knockdown on PC2.Gene ontology enrichment analysis showing significant enrichment of neuronal genes (in bold) among the genes up‐regulated in the pB.pA + RESTi‐transduced fibroblasts but not in the adult fibroblasts transduced with pB.mir9/124.pA.Gene ontology enrichment analysis showing that no genes associated with neurons are uniquely up‐regulated in the pB.mir9/124.pA‐transduced fibroblasts.
Figure 5 Enhanced neuronal gene up‐regulation in pB.pA + RESTi reprogrammed adult iNs Clustering of RNA‐seq samples, using euclidean distance on normalized and log‐transformed read counts.Principal component analysis showing a separation of the groups that reprogram well from those that do not on PC1 and a separation of the groups with REST knockdown on PC2.Gene ontology enrichment analysis showing significant enrichment of neuronal genes (in bold) among the genes up‐regulated in the pB.pA + RESTi‐transduced fibroblasts but not in the adult fibroblasts transduced with pB.mir9/124.pA.Gene ontology enrichment analysis showing that no genes associated with neurons are uniquely up‐regulated in the pB.mir9/124.pA‐transduced fibroblasts.CC BY · PubMed Central
Figure 6 All‐in‐one vector to reprogram skin fibroblasts from patients with a range of different neurodegenerative disorders Map of the single reprogramming vector containing REST shRNA sequences as well as Brn2 and Ascl1.Quantitative comparison of the total number of cells, as well as the number of MAP2+ and TAU+ cells per well using separate vectors or one single vector for pB.pA + RESTi reprogramming in four different adult dermal fibroblast lines.Fluorescence microscopy images of iNs reprogrammed using the single vector from healthy individuals as well as from patients with various neurodegenerative disorders.Quantification of the neuronal counts and purity.Fluorescence microscopy images of iNs derived from an HD patient after optimization of culture conditions.Percentage of cells displaying various number of neurites for each line.qPCR analysis of six neuronal genes in healthy individuals as well as from patients with various neurodegenerative disorders.Data information: Scale bars, 25 μm in (C), 100 μm in (E). FAD, familial Alzheimer's disease; FPD, familial Parkinson's disease; HD, Huntington's disease; SPD, sporadic Parkinson's disease. Data are expressed as mean ± SEM and are from biological replicates (n = 4).
Figure 6 All‐in‐one vector to reprogram skin fibroblasts from patients with a range of different neurodegenerative disorders Map of the single reprogramming vector containing REST shRNA sequences as well as Brn2 and Ascl1.Quantitative comparison of the total number of cells, as well as the number of MAP2+ and TAU+ cells per well using separate vectors or one single vector for pB.pA + RESTi reprogramming in four different adult dermal fibroblast lines.Fluorescence microscopy images of iNs reprogrammed using the single vector from healthy individuals as well as from patients with various neurodegenerative disorders.Quantification of the neuronal counts and purity.Fluorescence microscopy images of iNs derived from an HD patient after optimization of culture conditions.Percentage of cells displaying various number of neurites for each line.qPCR analysis of six neuronal genes in healthy individuals as well as from patients with various neurodegenerative disorders.Data information: Scale bars, 25 μm in (C), 100 μm in (E). FAD, familial Alzheimer's disease; FPD, familial Parkinson's disease; HD, Huntington's disease; SPD, sporadic Parkinson's disease. Data are expressed as mean ± SEM and are from biological replicates (n = 4).CC BY · PubMed Central

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Research works printed but not linked: 34

  1. Adlakha YK, Seth P (2017) The expanding horizon of MicroRNAs in cellular reprogramming. Prog Neurobiol 148: 21–39 · DOI
  2. Ambasudhan R, Talantova M, Coleman R, Yuan X, Zhu S, Lipton SA, Ding S (2011) Direct reprogramming of adult human fibroblasts to functional neurons under defined conditions. Cell Stem Cell 9: 113–118 · DOI
  3. Ballas N, Grunseich C, Lu DD, Speh JC, Mandel G (2005) REST and its corepressors mediate plasticity of neuronal gene chromatin throughout neurogenesis. Cell 121: 645–657 · DOI · Paper page
  4. Brown BD, Gentner B, Cantore A, Colleoni S, Amendola M, Zingale A, Baccarini A, Lazzari G, Galli C, Naldini L (2007) Endogenous microRNA can be broadly exploited to regulate transgene expression according to tissue, lineage and differentiation state. Nat Biotechnol 25: 1457–1467 · DOI
  5. Caiazzo M, Dell'Anno MT, Dvoretskova E, Lazarevic D, Taverna S, Leo D, Sotnikova TD, Menegon A, Roncaglia P, Colciago G et al (2011) Direct generation of functional dopaminergic neurons from mouse and human fibroblasts. Nature 476: 224–227 · DOI
  6. Carey BW, Markoulaki S, Hanna JH, Faddah DA, Buganim Y, Kim J, Ganz K, Steine EJ, Cassady JP, Creyghton MP et al (2011) Reprogramming factor stoichiometry influences the epigenetic state and biological properties of induced pluripotent stem cells. Cell Stem Cell 9: 588–598 · DOI
  7. Conaco C, Otto S, Han JJ, Mandel G (2006) Reciprocal actions of REST and a microRNA promote neuronal identity. Proc Natl Acad Sci USA 103: 2422–2427 · DOI · Paper page
  8. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR (2013) STAR: ultrafast universal RNA‐seq aligner. Bioinformatics 29: 15–21 · DOI · Paper page
  9. Fishman VS, Shnayder TA, Orishchenko KE, Bader M, Alenina N, Serov OL (2015) Cell divisions are not essential for the direct conversion of fibroblasts into neuronal cells. Cell Cycle 14: 1188–1196 · DOI
  10. Gentner B, Schira G, Giustacchini A, Amendola M, Brown BD, Ponzoni M, Naldini L (2009) Stable knockdown of microRNA in vivo by lentiviral vectors. Nat Methods 6: 63–66 · DOI
  11. Georgievska B, Jakobsson J, Persson E, Ericson C, Kirik D, Lundberg C (2004) Regulated delivery of glial cell line‐derived neurotrophic factor into rat striatum, using a tetracycline‐dependent lentiviral vector. Hum Gene Ther 15: 934–944 · DOI
  12. Hu W, Qiu B, Guan W, Wang Q, Wang M, Li W, Gao L, Shen L, Huang Y, Xie G et al (2015) Direct conversion of normal and Alzheimer's disease human fibroblasts into neuronal cells by small molecules. Cell Stem Cell 17: 204–212 · DOI · Paper page
  13. Huang DW, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4: 44–57 · DOI · Paper page
  14. Iovino M, Pfisterer U, Holton JL, Lashley T, Swingler RJ, Calo L, Treacy R, Revesz T, Parmar M, Goedert M et al (2014) The novel MAPT mutation K298E: mechanisms of mutant tau toxicity, brain pathology and tau expression in induced fibroblast‐derived neurons. Acta Neuropathol 127: 283–295 · DOI
  15. Jönsson ME, Nelander Wahlestedt J, Åkerblom M, Kirkeby A, Malmevik J, Brattaas PL, Jakobsson J, Parmar M (2015) Comprehensive analysis of microRNA expression in regionalized human neural progenitor cells reveals microRNA‐10 as a caudalizing factor. Development 142: 3166–3177 · DOI
  16. Lafaille FG, Pessach IM, Zhang SY, Ciancanelli MJ, Herman M, Abhyankar A, Ying SW, Keros S, Goldstein PA, Mostoslavsky G et al (2012) Impaired intrinsic immunity to HSV‐1 in human iPSC‐derived TLR3‐deficient CNS cells. Nature 491: 769–773 · DOI · Paper page
  17. Lee G, Papapetrou EP, Kim H, Chambers SM, Tomishima MJ, Fasano CA, Ganat YM, Menon J, Shimizu F, Viale A et al (2009) Modelling pathogenesis and treatment of familial dysautonomia using patient‐specific iPSCs. Nature 461: 402–406 · DOI
  18. Liao Y, Smyth GK, Shi W (2014) featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30: 923–930 · DOI · Paper page
  19. Liu ML, Zang T, Zou Y, Chang JC, Gibson JR, Huber KM, Zhang CL (2013) Small molecules enable neurogenin 2 to efficiently convert human fibroblasts into cholinergic neurons. Nat Commun 4: 2183 · DOI · Paper page
  20. Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA‐seq data with DESeq2. Genome Biol 15: 550 · DOI · Paper page
  21. Maherali N, Sridharan R, Xie W, Utikal J, Eminli S, Arnold K, Stadtfeld M, Yachechko R, Tchieu J, Jaenisch R et al (2007) Directly reprogrammed fibroblasts show global epigenetic remodeling and widespread tissue contribution. Cell Stem Cell 1: 55–70 · DOI · Paper page
  22. Masserdotti G, Gillotin S, Sutor B, Drechsel D, Irmler M, Jørgensen HF, Sass S, Theis FJ, Beckers J, Berninger B et al (2015) Transcriptional mechanisms of proneural factors and REST in regulating neuronal reprogramming of astrocytes. Cell Stem Cell 17: 74–88 · DOI
  23. Mertens J, Marchetto MC, Bardy C, Gage FH (2016) Evaluating cell reprogramming, differentiation and conversion technologies in neuroscience. Nat Rev Neurosci 17: 424–437 · DOI
  24. Nityanandam A, Baldwin KK (2015) Advances in reprogramming‐based study of neurologic disorders. Stem Cells Dev 24: 1265–1283 · DOI
  25. Pang ZP, Yang N, Vierbuchen T, Ostermeier A, Fuentes DR, Yang TQ, Citri A, Sebastiano V, Marro S, Südhof TC et al (2011) Induction of human neuronal cells by defined transcription factors. Nature 476: 220–223 · DOI
  26. Pfisterer U, Kirkeby A, Torper O, Wood J, Nelander J, Dufour A, Bjorklund A, Lindvall O, Jakobsson J, Parmar M (2011a) Direct conversion of human fibroblasts to dopaminergic neurons. Proc Natl Acad Sci USA 108: 10343–10348 · DOI
  27. Pfisterer U, Wood J, Nihlberg K, Hallgren O, Bjermer L, Westergren‐Thorsson G, Lindvall O, Parmar M (2011b) Efficient induction of functional neurons from adult human fibroblasts. Cell Cycle 10: 3311–3316 · DOI
  28. Price JD, Park KY, Chen J, Salinas RD, Cho MJ, Kriegstein AR, Lim DA (2014) The Ink4a/Arf locus is a barrier to direct neuronal transdifferentiation. J Neurosci 34: 12560–12567 · DOI
  29. Stadtfeld M, Maherali N, Borkent M, Hochedlinger K (2010) A reprogrammable mouse strain from gene‐targeted embryonic stem cells. Nat Methods 7: 53–55 · DOI
  30. Tocchini C, Keusch JJ, Miller SB, Finger S, Gut H, Stadler MB, Ciosk R (2014) The TRIM‐NHL protein LIN‐41 controls the onset of developmental plasticity in Caenorhabditis elegans. PLoS Genet 10: e1004533 · DOI
  31. Xu Z, Jiang H, Zhong P, Yan Z, Chen S, Feng J (2015) Direct conversion of human fibroblasts to induced serotonergic neurons. Mol Psychiatry 21: 62–70 · DOI
  32. Xue Y, Qian H, Hu J, Zhou B, Zhou Y, Hu X, Karakhanyan A, Pang Z, Fu XD (2016) Sequential regulatory loops as key gatekeepers for neuronal reprogramming in human cells. Nat Neurosci 19: 807–815 · DOI · Paper page
  33. Yoo AS, Sun AX, Li L, Shcheglovitov A, Portmann T, Li Y, Lee‐Messer C, Dolmetsch RE, Tsien RW, Crabtree GR (2011) MicroRNA‐mediated conversion of human fibroblasts to neurons. Nature 476: 228–231 · DOI · Paper page
  34. Young JE, Boulanger‐Weill J, Williams DA, Woodruff G, Buen F, Revilla AC, Herrera C, Israel MA, Yuan SH, Edland SD et al (2015) Elucidating molecular phenotypes caused by the SORL1 Alzheimer's disease genetic risk factor using human induced pluripotent stem cells. Cell Stem Cell 16: 373–385 · DOI

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Authors
Drouin‐Ouellet, J., Lau, S., Brattås, P. L., Rylander Ottosson, D., Pircs, K., Grassi, D. A., Collins, L. M., Vuono, R., Andersson Sjöland, A., Westergren‐Thorsson, G., Graff, C., Minthon, L., Toresson, H., Barker, R. A., Jakobsson, J., & Parmar, M.
Venue
EMBO Molecular Medicine
Published
2017-06-23
Volume
9
Issue
8
Pages
1117-1131
ISSN
  • 1757-4676
  • 1757-4684
Cited by
110
References
11
Language
en
Funders
  • New York Stem Cell Foundation
  • H2020 European Research Council (602278, 30971, FP/2007‐2013)
  • Vetenskapsrådet (521‐2012‐5624, 2016‐00873, 70862601)
  • Parkinsonfonden (874/16)
  • Canadian Institutes of Health Research (358492)
  • Lunds Universitet
  • Stiftelsen för Strategisk Forskning (FFL12‐0074)
  • National Institute for Health Research

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