The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease
Open accessAbstract
Genetic and genomic studies have advanced our knowledge of inherited Parkinson’s disease (PD), however, the etiology and pathophysiology of idiopathic PD remain unclear. Herein, we perform a meta-analysis of 8 PD postmortem brain transcriptome studies by employing a multiscale network biology approach to delineate the gene-gene regulatory structures in the substantia nigra and determine key regulators of the PD transcriptomic networks. We identify STMN2, which encodes a stathmin family protein and is down-regulated in PD brains, as a key regulator functionally connected to known PD risk genes. Our network analysis predicts a function of human STMN2 in synaptic trafficking, which is validated in Stmn2-knockdown mouse dopaminergic neurons. Stmn2 reduction in the mouse midbrain causes dopaminergic neuron degeneration, phosphorylated α-synuclein elevation, and locomotor deficits. Our integrative analysis not only begins to elucidate the global landscape of PD transcriptomic networks but also pinpoints potential key regulators of PD pathogenic pathways.
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The KND approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD, Parkinson's disease, melanoma and gastric cancer, and the top drivers predicted for these diseases were experimentally validated in vitro or in vivo.
“This approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD [22], Parkinson’s disease (PD) [43], melanoma [44] and gastric cancer [45] and notably the top drivers predicted for the abovementioned diseases were experimentally validated in vitro or in vivo.”
From Sex specific molecular networks and key drivers of Alzheimer’s disease (2023) · cites this paper as [43]
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Genomic analyses identify molecular subtypes of pancreatic cancer
Bailey, P., Chang, D. K., Nones, K., Johns, A. L., Patch, A.-M., Gingras, M.-C., Miller, D. K., Christ, A. N., Bruxner, T. J. C., Quinn, M. C., et al. (2016) · Nature · doi:10.1038/nature16965 · Cited by 3,621 · see citing works
International Parkinson's Disease Genomics Consortium (IPDGC), Nalls, M. A., Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI), 23andMe, GenePD, NeuroGenetics Research Consortium (NGRC), Hussman Institute of Human Genomics (HIHG), Investigator, T. A. J. D., (CHARGE), C. F. H. A. A. R. I. G. E., North American Brain Expression Consortium (NABEC), et al. (2014) · Nature Genetics · doi:10.1038/ng.3043 · Cited by 1,895 · see citing works
Molecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,847 · see citing works
Association of coffee and caffeine intake with the risk of Parkinson disease
Ross, G. W. (2000) · JAMA · doi:10.1001/jama.283.20.2674 · Cited by 778 · see citing works
Sex-specific transcriptional signatures in human depression
Labonté, B., Engmann, O., Purushothaman, I., Menard, C., Wang, J., Tan, C., Scarpa, J. R., Moy, G., Loh, Y.-H. E., Cahill, M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4386 · Cited by 748 · see citing works
Self-citationGenetics in Parkinson disease: Mendelian versus non‐Mendelian inheritance
Hernandez, D. G., Reed, X., & Singleton, A. B. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13593 · Cited by 448 · see citing works
Bagot, R. C., Cates, H. M., Purushothaman, I., Lorsch, Z. S., Walker, D. M., Wang, J., Huang, X., Schlüter, O. M., Maze, I., Peña, C. J., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.015 · Cited by 333 · see citing works
Self-citationSynaptogyrin-3 Mediates Presynaptic Dysfunction Induced by Tau
McInnes, J., Wierda, K., Snellinx, A., Bounti, L., Wang, Y.-C., Stancu, I.-C., Apóstolo, N., Gevaert, K., Dewachter, I., Spires-Jones, T. L., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.022 · Cited by 242 · see citing works
Zhu, J., Sova, P., Xu, Q., Dombek, K. M., Xu, E. Y., Vu, H., Tu, Z., Brem, R. B., Bumgarner, R. E., & Schadt, E. E. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001301 · Cited by 205 · see citing works
Dijkstra, A. A., Ingrassia, A., de Menezes, R. X., van Kesteren, R. E., Rozemuller, A. J. M., Heutink, P., & van de Berg, W. D. J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128651 · Cited by 167 · see citing works
Haure-Mirande, J.-V., Audrain, M., Fanutza, T., Kim, S. H., Klein, W. L., Glabe, C., Readhead, B., Dudley, J. T., Blitzer, R. D., Wang, M., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1737-3 · Cited by 127 · see citing works
Self-citationHaure-Mirande, J.-V., Wang, M., Audrain, M., Fanutza, T., Kim, S. H., Heja, S., Readhead, B., Dudley, J. T., Blitzer, R. D., Schadt, E. E., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0255-6 · Cited by 84 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 57
- [2]Fortin DL Lipid rafts mediate the synaptic localization of alpha-synuclein J. Neurosci. 2004 24 6715 6723 10.1523/JNEUROSCI.1594-04.2004 15282274 PMC6729723 · DOI
- [3]Burre J Alpha-synuclein promotes SNARE-complex assembly in vivo and in vitro Science 2010 329 1663 1667 10.1126/science.1195227 20798282 PMC3235365 · DOI
- [4]Orenstein SJ Interplay of LRRK2 with chaperone-mediated autophagy Nat. Neurosci. 2013 16 394 406 10.1038/nn.3350 23455607 PMC3609872 · DOI · Paper page
- [5]Niu J Yu M Wang C Xu Z Leucine-rich repeat kinase 2 disturbs mitochondrial dynamics via Dynamin-like protein J. Neurochem. 2012 122 650 658 10.1111/j.1471-4159.2012.07809.x 22639965 · DOI
- [6]Pan PY Parkinson’s disease-associated LRRK2 hyperactive kinase mutant disrupts synaptic vesicle trafficking in ventral midbrain neurons J. Neurosci. 2017 37 11366 11376 10.1523/JNEUROSCI.0964-17.2017 29054882 PMC5700420 · DOI
- [7]Seaman MN McCaffery JM Emr SD A membrane coat complex essential for endosome-to-Golgi retrograde transport in yeast J. Cell. Biol. 1998 142 665 681 10.1083/jcb.142.3.665 9700157 PMC2148169 · DOI
- [8]Blauwendraat, C., Nalls, M. A. & Singleton, A. B. The genetic architecture of Parkinson’s disease. Lancet Neurol.10.1016/S1474-4422(19)30287-X (2019). PMC8972299 31521533 · DOI · Paper page
- [9]Betarbet R Chronic systemic pesticide exposure reproduces features of Parkinson’s disease Nat. Neurosci. 2000 3 1301 1306 10.1038/81834 11100151 · DOI
- [11]Chang D A meta-analysis of genome-wide association studies identifies 17 new Parkinson’s disease risk loci Nat. Genet. 2017 49 1511 1516 10.1038/ng.3955 28892059 PMC5812477 · DOI · Paper page
- [13]Nalls MA Imputation of sequence variants for identification of genetic risks for Parkinson’s disease: a meta-analysis of genome-wide association studies Lancet 2011 377 641 649 10.1016/S0140-6736(10)62345-8 21292315 PMC3696507 · DOI
- [14]Zhang B Tran L Emilsson V Zhu J Characterization of genetic networks associated with Alzheimer’s disease Methods Mol. Biol. 2016 1303 459 477 10.1007/978-1-4939-2627-5_28 26235085 · DOI
- [15]Zhang B Horvath S A general framework for weighted gene co-expression network analysis Stat. Appl. Genet. Mol. Biol. 2005 4 Article17 10.2202/1544-6115.1128 16646834 · DOI · Paper page
- [16]Zhang B Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer’s disease Cell 2013 153 707 720 10.1016/j.cell.2013.03.030 23622250 PMC3677161 · DOI · Paper page
- [18]Emilsson V Co-regulatory networks of human serum proteins link genetics to disease Science 2018 361 769 773 10.1126/science.aaq1327 30072576 PMC6190714 · DOI · Paper page
- [20]Song WM Zhang B Multiscale embedded gene co-expression network analysis PLoS Comput. Biol. 2015 11 e1004574 10.1371/journal.pcbi.1004574 26618778 PMC4664553 · DOI
- [21]Wang, M. et al. Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease. Genome Med.8 104 (2016). PMC5088659 27799057
- [22]Margolin AA ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context BMC Bioinforma. 2006 7 S7 10.1186/1471-2105-7-S1-S7 PMC1810318 16723010 · DOI · Paper page
- [23]Wang K Genome-wide identification of post-translational modulators of transcription factor activity in human B cells Nat. Biotechnol. 2009 27 829 839 10.1038/nbt.1563 19741643 PMC2753889 · DOI
- [24]Audrain Mickael Haure-Mirande Jean-Vianney Wang Minghui Kim Soong Ho Fanutza Tomas Chakrabarty Paramita Fraser Paul St George-Hyslop Peter H. Golde Todd E. Blitzer Robert D. Schadt Eric E. Zhang Bin Ehrlich Michelle E. Gandy Sam Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in a tauopathy mouse model reduces C1q and normalizes clinical phenotype while increasing spread and state of phosphorylation of tau Molecular Psychiatry 2018 24 9 1383 1397 10.1038/s41380-018-0258-3 30283031 PMC6447470 · DOI · Paper page
- [26]Huang F CDT2-controlled cell cycle reentry regulates the pathogenesis of Alzheimer’s disease Alzheimers Dement. 2019 15 217 231 10.1016/j.jalz.2018.08.013 30321504 PMC6758558 · DOI · Paper page
- [27]Kajiwara Y GJA1 (connexin43) is a key regulator of Alzheimer’s disease pathogenesis Acta Neuropathol. Commun. 2018 6 144 10.1186/s40478-018-0642-x 30577786 PMC6303945 · DOI
- [29]Duke DC Moran LB Pearce RK Graeber MB The medial and lateral substantia nigra in Parkinson’s disease: mRNA profiles associated with higher brain tissue vulnerability Neurogenetics 2007 8 83 94 10.1007/s10048-006-0077-6 17211632 · DOI
- [30]Lesnick TG A genomic pathway approach to a complex disease: axon guidance and Parkinson disease PLoS Genet. 2007 3 e98 10.1371/journal.pgen.0030098 17571925 PMC1904362 · DOI
- [31]Zhang Y James M Middleton FA Davis RL Transcriptional analysis of multiple brain regions in Parkinson’s disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms Am. J. Med. Genet. Part B, Neuropsychiatr. Genet. 2005 137b 5 16 10.1002/ajmg.b.30195 15965975 · DOI
- [32]Zheng B PGC-1alpha, a potential therapeutic target for early intervention in Parkinson’s disease Sci. Transl. Med. 2010 2 52ra73 10.1126/scitranslmed.3001059 20926834 PMC3129986 · DOI
- [33]Darmanis S A survey of human brain transcriptome diversity at the single cell level Proc. Natl Acad. Sci. USA 2015 112 7285 7290 10.1073/pnas.1507125112 26060301 PMC4466750 · DOI · Paper page
- [34]Zhang Y Purification and characterization of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse Neuron 2016 89 37 53 10.1016/j.neuron.2015.11.013 26687838 PMC4707064 · DOI · Paper page
- [36]Zhu J Increasing the power to detect causal associations by combining genotypic and expression data in segregating populations PLoS Comput. Biol. 2007 3 e69 10.1371/journal.pcbi.0030069 17432931 PMC1851982 · DOI
- [37]Glaab E Schneider R Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson’s disease Neurobiol. Dis. 2015 74 1 13 10.1016/j.nbd.2014.11.002 25447234 · DOI
- [38]Oerton E Bender A Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson’s disease: a comparison of 33 human and animal studies BMC Neurol. 2017 17 58 10.1186/s12883-017-0838-x 28335819 PMC5364698 · DOI
- [41]Conner SD Schmid SL Identification of an adaptor-associated kinase, AAK1, as a regulator of clathrin-mediated endocytosis J. Cell. Biol. 2002 156 921 929 10.1083/jcb.200108123 11877461 PMC2173317 · DOI
- [42]Antonsson B Identification of in vitro phosphorylation sites in the growth cone protein SCG10. Effect of phosphorylation site mutants on microtubule-destabilizing activity J. Biol. Chem. 1998 273 8439 8446 10.1074/jbc.273.14.8439 9525956 · DOI
- [43]Li YH Rnd1 regulates axon extension by enhancing the microtubule destabilizing activity of SCG10 J. Biol. Chem. 2009 284 363 371 10.1074/jbc.M808126200 18996843 PMC2708901 · DOI
- [44]Xu H Dhanasekaran DN Lee CM Reddy EP Regulation of neurite outgrowth by interactions between the scaffolding protein, JNK-associated leucine zipper protein, and neuronal growth-associated protein superior cervical ganglia clone 10 J. Biol. Chem. 2010 285 3548 3553 10.1074/jbc.M109.064113 19959466 PMC2823494 · DOI
- [45]Shin JE SCG10 is a JNK target in the axonal degeneration pathway Proc. Natl Acad. Sci. USA 2012 109 E3696 E3705 10.1073/pnas.1216204109 23188802 PMC3535671 · DOI
- [46]Mani M Ryan TA Live imaging of synaptic vesicle release and retrieval in dopaminergic neurons Front. Neural Circuits 2009 3 3 10.3389/neuro.04.003.2009 19521540 PMC2694661 · DOI
- [47]Pan PY Ryan TA Calbindin controls release probability in ventral tegmental area dopamine neurons Nat. Neurosci. 2012 15 813 815 10.1038/nn.3099 22544312 PMC3703651 · DOI
- [48]Sankaranarayanan S Ryan TA Calcium accelerates endocytosis of vSNAREs at hippocampal synapses Nat. Neurosci. 2001 4 129 136 10.1038/83949 11175872 · DOI
- [49]Neal ML Boyle AM Budge KM Safadi FF Richardson JR The glycoprotein GPNMB attenuates astrocyte inflammatory responses through the CD44 receptor J. Neuroinflammation 2018 15 73 10.1186/s12974-018-1100-1 29519253 PMC5842560 · DOI
- [50]Ivatt RM Genome-wide RNAi screen identifies the Parkinson disease GWAS risk locus SREBF1 as a regulator of mitophagy Proc. Natl Acad. Sci. USA 2014 111 8494 8499 10.1073/pnas.1321207111 24912190 PMC4060696 · DOI · Paper page
- [51]Ivatt RM Whitworth AJ SREBF1 links lipogenesis to mitophagy and sporadic Parkinson disease Autophagy 2014 10 1476 1477 10.4161/auto.29642 24991824 PMC4203527 · DOI
- [52]McGlinchey RP Lee JC Cysteine cathepsins are essential in lysosomal degradation of alpha-synuclein Proc. Natl Acad. Sci. USA 2015 112 9322 9327 10.1073/pnas.1500937112 26170293 PMC4522768 · DOI
- [53]Mendez JA Bourque MJ Fasano C Kortleven C Trudeau LE Somatodendritic dopamine release requires synaptotagmin 4 and 7 and the participation of voltage-gated calcium channels J. Biol. Chem. 2011 286 23928 23937 10.1074/jbc.M111.218032 21576241 PMC3129174 · DOI
- [54]Wang C Synaptotagmin-11 is a critical mediator of parkin-linked neurotoxicity and Parkinson’s disease-like pathology Nat. Commun. 2018 9 81 10.1038/s41467-017-02593-y 29311685 PMC5758517 · DOI
- [55]Fujiwara H alpha-Synuclein is phosphorylated in synucleinopathy lesions Nat. Cell Biol. 2002 4 160 164 10.1038/ncb748 11813001 · DOI
- [57]Chen Y Variations in DNA elucidate molecular networks that cause disease Nature 2008 452 429 435 10.1038/nature06757 18344982 PMC2841398 · DOI · Paper page
- [58]Vega IE Hamano T Propost JA Grenningloh G Yen SH Taxol and tau overexpression induced calpain-dependent degradation of the microtubule-destabilizing protein SCG10 Exp. Neurol. 2006 202 152 160 10.1016/j.expneurol.2006.05.026 16822511 PMC3696491 · DOI
- [59]Sconce MD Churchill MJ Moore C Meshul CK Intervention with 7,8-dihydroxyflavone blocks further striatal terminal loss and restores motor deficits in a progressive mouse model of Parkinson’s disease Neuroscience 2015 290 454 471 10.1016/j.neuroscience.2014.12.080 25655214 · DOI
- [60]Frey D Laux T Xu L Schneider C Caroni P Shared and unique roles of CAP23 and GAP43 in actin regulation, neurite outgrowth, and anatomical plasticity J. Cell. Biol. 2000 149 1443 1454 10.1083/jcb.149.7.1443 10871284 PMC2175140 · DOI
- [61]Zheng XY Screening of LRRK2 interactants by yeast 2-hybrid analysis Zhong. Nan. Da. Xue. Xue. Bao. Yi. Xue. Ban. 2008 33 883 891 19001729
- [62]Cui ZW RALY RNA binding protein-like reduced expression is associated with poor prognosis in clear cell renal cell carcinoma Asian Pac. J. Cancer Prev. 2012 13 3403 3408 10.7314/APJCP.2012.13.7.3403 22994768 · DOI
- [64]Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw.36, 48 (2010).
- [65]Cohen, J. Statistical Power Analysis for the Behavioral Sciences. 2nd Edition. Routledge (1988).
- [66]Dunham, I. et al. An integrated encyclopedia of DNA elements in the human genome. Nature489, 57–74 (2012). PMC3439153 22955616
- [67]Davis CA The encyclopedia of DNA elements (ENCODE): data portal update Nucleic Acids Res. 2018 46 D794 d801 10.1093/nar/gkx1081 29126249 PMC5753278 · DOI · Paper page
- [68]Dobin A STAR: ultrafast universal RNA-seq aligner Bioinformatics 2013 29 15 21 10.1093/bioinformatics/bts635 23104886 PMC3530905 · DOI · Paper page
- [69]Robinson MD McCarthy DJ Smyth GK edgeR: a Bioconductor package for differential expression analysis of digital gene expression data Bioinformatics 2010 26 139 140 10.1093/bioinformatics/btp616 19910308 PMC2796818 · DOI · Paper page
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Sex specific molecular networks and key drivers of Alzheimer’s disease
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“This approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD [22], Parkinson’s disease (PD) [43], melanoma [44] and gastric cancer [45] and notably the top drivers predicted for the abovementioned diseases were experimentally validated in vitro or in…”
BackgroundSelf-citation
- Authors
- Wang, Q., Zhang, Y., Wang, M., Song, W.-M., Shen, Q., McKenzie, A., Choi, I., Zhou, X., Pan, P.-Y., Yue, Z., & Zhang, B.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Yue, Zhenyu
- Zhang, Bin
- ORCID
- Venue
- Nature Communications
- Published
- 2019-11-20
- Volume
- 10
- Issue
- 1
- Pages
- 5234-5234
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6868244
- OpenAlex
- W2989971001
- Cited by
- 121
- References
- 12
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 31 · 2023: 12 · 2022: 27 · 2021: 21 · 2020: 15 · 2019: 1
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | National Institutes of Health (P50NS094733, R01NS060809, U01AG046170, RF1AG057440)
- Mount Sinai Seed Funds
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Nuclear Receptors and Signaling
- Keywords
- Parkinson's disease, transcriptomic networks, gene regulatory networks, substantia nigra, STMN2, stathmin, dopaminergic neurons, alpha-synuclein phosphorylation, locomotor deficits, mouse model, idiopathic Parkinson's disease
- MeSH terms
- Animals, Humans, Locomotion, Parkinson Disease, Phosphorylation, Substantia Nigra, Gene Expression Profiling, Stathmin, Mice, alpha-Synuclein, Gene Regulatory Networks, Gene Knockdown Techniques, Dopaminergic Neurons, Transcriptome
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