The effect of listening to music on human transcriptome

PeerJ

Volumn 2015, Issue 3, 2015, Pages

  Kanduri, Chakravarthi ^a   Raijas, Pirre ^b   Ahvenainen, Minna ^a   Philips, Anju K ^a   Ukkola Vuoti, Liisa ^a   Lähdesmäki, Harri ^c   Järvelä, Irma ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b University of the Arts Helsinki   (Finland)

^c AALTO UNIVERSITY   (Finland)

Author keywords

Dopamine; Gene expression profiling; Genomics; Long term potentiation; Music; Peripheral blood; RNA; SNCA

Indexed keywords

ALPHA SYNUCLEIN; CASPASE; DOPAMINE; PEPTIDASE; PROTEINASE; PROTON TRANSPORTING ADENOSINE TRIPHOSPHATE SYNTHASE; TRANSCRIPTION FACTOR GATA 2; TRANSCRIPTOME;

ADULT; AGED; ARTICLE; CHROMOSOME; CHROMOSOME 4Q22.1; CONTROLLED STUDY; CYTOLYSIS; DIRECTIONAL HEARING; DOWN REGULATION; FUNCTIONAL NEUROIMAGING; GENE EXPRESSION; GENE ONTOLOGY; HUMAN; LONG TERM POTENTIATION; MUSIC; NERVE PROJECTION; NUCLEOTIDE SEQUENCE; PROTEIN DEPHOSPHORYLATION; PROTEIN SECRETION; PROTEIN TRANSPORT; SUMOYLATION; UPREGULATION;

EID: 84926431380     PISSN: None     EISSN: 21678359     Source Type: Journal    
DOI: 10.7717/peerj.830     Document Type: Article

References (67)

1. Ambroggi F, Turiault M, Milet A, Deroche-Gamonet V, Parnaudeau S, Balado E, Barik J, Van der Veen R, Maroteaux G, Lemberger T, Schütz G, Lazar M, Marinelli M, Piazza PV, Tronche F. 2009. Stress and addiction: glucocorticoid receptor in dopaminoceptive neurons facilitates cocaine seeking. Nature Neuroscience 12:247-249 DOI 10.1038/nn.2282.
2. AMTA. 2014. Music therapy fact sheets & bibliographies. Silver Spring: American Music Therapy Association (AMTA).
3. Angelucci F, Ricci E, Padua L, Sabino A, Tonali PA. 2007. Music exposure differentially alters the levels of brain-derived neurotrophic factor and nerve growth factor in the mouse hypothalamus. Neuroscience Letters 429:152-155 DOI 10.1016/j.neulet.2007.10.005.
4. Asher JE, Lamb JA, Brocklebank D, Cazier JB, Maestrini E, Addis L, Sen M, Baron-Cohen S, Monaco AP. 2008. A whole-genome scan and fine-mapping linkage study of auditory-visual synesthesia reveals rvidence of linkage to chromosomes 2q24, 5q33, 6p12, and 12p12. American Journal of Human Genetics 84:279-285 DOI 10.1016/j.ajhg.2009.01.012.
5. Black DS, Cole SW, Irwin MR, Breen E, St Cyr NM, Nazarian N, Khalsa DS, Lavretsky H. 2012. Yogic meditation reverses NF-κB and IRF-related transcriptome dynamics in leukocytes of family dementia caregivers in a randomized controlled trial. Psychoneuroendocrinology 38:348-355 DOI 10.1016/j.psyneuen.2012.06.011.
6. Blood AJ, Zatorre RJ. 2001. Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proceedings of the National Academy of Sciences of the United States of America 98:11818-11823 DOI 10.1073/pnas.191355898.
7. Breitling R, Armengaud P, Amtmann A, Herzyk P. 2004. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments. FEBS Letters 573:83-92 DOI 10.1016/j.febslet.2004.07.055.
8. Brown S, Martinez MJ, Parsons LM. 2004. Passive music listening spontaneously engages limbic and paralimbic systems. NeuroReport 15:2033-2037 DOI 10.1097/00001756-200409150-00008.
9. Chanda ML, Levitin DJ. 2013. The neurochemistry of music. Trends in Cognitive Sciences 17:179-193 DOI 10.1016/j.tics.2013.02.007.
10. Cole SW, Hawkley LC, Arevalo JM, Sung CY, Rose RM, Cacioppo JT. 2007. Social regulation of gene expression in human leukocytes. Genome Biology 8:R189 DOI 10.1186/gb-2007-8-9-r189.
11. Conrad C. 2010. Music for healing: from magic to medicine. Lancet 376:1980-1981 DOI 10.1016/S0140-6736(10)62251-9.
12. Davies MN, Lawn S, Whatley S, Fernandes C, Williams RW, Schalkwyk LC. 2009. To what extent is blood a reasonable surrogate for brain in gene expression studies: estimation from mouse hippocampus and spleen. Frontiers in Neuroscience 3:54.
13. Elbert T, Pantev C, Wienbruch C, Rockstroh B, Taub E. 1995. Increased cortical representation of the fingers of the left hand in string players. Science 270:305-307 DOI 10.1126/science.270.5234.305.
14. Gaser C, Schlaug G. 2003. Brain structures differ between musicians and non-musicians. The Journal of Neuroscience 23:9240-9245.
15. Gervain J, Vines BW, Chen LM, Seo RJ, Hensch TK, Werker JF, Young AH. 2013. Valproate reopens critical-period learning of absolute pitch. Frontiers in Systems Neuroscience 7:102 DOI 10.3389/fnsys.2013.00102.
16. Herholz SC, Zatorre RJ. 2012. Musical training as a framework for brain plasticity: behavior, function, and structure. Neuron 76:486-502 DOI 10.1016/j.neuron.2012.10.011.
17. Hoheisel JD. 2006. Microarray technology: beyond transcript profiling and genotype analysis. Nature Reviews. Genetics 7:200-210.
18. Holmes D. 2012. Music therapy's breakthrough act. Lancet Neurology 11:486-487 DOI 10.1016/S1474-4422(12)70126-6.
19. Hubbard CS, Ornitz E, Gaspar JX, Smith S, Amin J, Labus JS, Kilpatrick LA, Rhudy JL, Mayer EA, Naliboff BD. 2011. Modulation of nociceptive and acoustic startle responses to an unpredictable threat in men and women. Pain 152:1632-1640 DOI 10.1016/j.pain.2011.03.001.
20. Huron DB. 2006. Sweet anticipation: music and the psychology of expectation. Cambridge: MIT Press.
21. Jeffery IB, Higgins DG, Culhane AC. 2006. Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data. BMC Bioinformatics 7:359 DOI 10.1186/1471-2105-7-359.
22. Johnson WE, Li C, Rabinovic A. 2007. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8:118-127 DOI 10.1093/biostatistics/kxj037.
23. Kadota K, Shimizu K. 2011. Evaluating methods for ranking differentially expressed genes applied to microArray quality control data. BMC Bioinformatics 12:227 DOI 10.1186/1471-2105-12-227.
24. Karma K. 2007. Musical aptitude definition and measure validation: ecological validity can endanger the construct validity of musical aptitude tests. Psychomusicology: A Journal of Research in Music Cognition 19:79-90 DOI 10.1037/h0094033.
25. Kayser C, Logothetis NK, Panzeri S. 2010. Millisecond encoding precision of auditory cortex neurons. Proceedings of the National Academy of Sciences of the United States of America 107:16976-16981 DOI 10.1073/pnas.1012656107.
26. Koelsch S. 2011. Toward a neural basis of music perception-a review and updated model. Frontiers in Psychology 2:110 DOI 10.3389/fpsyg.2011.00110.
27. Koelsch S. 2014. Brain correlates of music-evoked emotions. Nature Reviews Neuroscience 15:170-180 DOI 10.1038/nrn3666.
28. Lander ES. 2011. Initial impact of the sequencing of the human genome. Nature 470:187-197 DOI 10.1038/nature09792.
29. Langner G. 1992. Periodicity coding in the auditory system. Hearing Research 60:115-142 DOI 10.1016/0378-5955(92)90015-F.
30. Liew CC, Ma J, Tang HC, Zheng R, Dempsey AA. 2006. The peripheral blood transcriptome dynamically reflects system wide biology: a potential diagnostic tool. Journal of Laboratory and Clinical Medicine 147:126-132 DOI 10.1016/j.lab.2005.10.005.
31. Meyer LB. 2008. Emotion and meaning in music. Chicago: University of Chicago Press.
32. Mikutta C, Maissen G, Altorfer A, Strik W, Koenig T. 2014. Professional musicians listen differently to music. Neuroscience 268C:102-111 DOI 10.1016/j.neuroscience.2014.03.007.
33. Mohr S, Liew CC. 2007. The peripheral-blood transcriptome: new insights into disease and risk assessment. Trends in Molecular Medicine 13:422-432 DOI 10.1016/j.molmed.2007.08.003.
34. Montealegre-Z F, Jonsson T, Robson-Brown KA, Postles M, Robert D. 2012. Convergent evolution between insect and mammalian audition. Science 338:968-971 DOI 10.1126/science.1225271.
35. Murphy DD, Rueter SM, Trojanowski JQ, Lee VM. 2000. Synucleins are developmentally expressed, and alpha-synuclein regulates the size of the presynaptic vesicular pool in primary hippocampal neurons. The Journal of Neuroscience 20:3214-3220.
36. Oczkowska A, Kozubski W, Lianeri M, Dorszewska J. 2013. Mutations in PRKN and SNCA genes important for the progress of Parkinson's disease. Current Genomics 14:502-517 DOI 10.2174/1389202914666131210205839.
37. Oikkonen J, Huang Y, Onkamo P, Ukkola-Vuoti L, Raijas P, Karma K, Vieland VJ, Järvelä I. 2014. A genome-wide linkage and association study of musical aptitude identifies loci containing genes related to inner ear development and neurocognitive functions. Molecular Psychiatry 20(2):275-282 DOI 10.1038/mp.2014.8.
38. Parker J, Tsagkogeorga G, Cotton J, a, Liu Y, Provero P, Stupka E, Rossiter SJ. 2013. Genome-wide signatures of convergent evolution in echolocating mammals. Nature 502:228-231 DOI 10.1038/nature12511.
39. Park H, Lee S, Kim H-J, Ju YS, Shin J-Y, Hong D, Von Grotthuss M, Lee D-S, Park C, Kim JH, Kim B, Yoo YJ, Cho SI, Sung J, Lee C, Kim JI, Seo JS. 2012. Comprehensive genomic analyses associate UGT8 variants with musical ability in a Mongolian population. Journal of Medical Genetics 49(12):747-752 DOI 10.1136/jmedgenet-2012-101209.
40. Pfenning AR, Hara E, Whitney O, Rivas MV, Wang R, Roulhac PL, Howard JT, Wirthlin M, Lovell PV, Ganapathy G, Mountcastle J, Moseley MA, Thompson JW, SoderblomEJ, Iriki A, Kato M, Gilbert MTP, Zhang G, Bakken T, Bongaarts A, Bernard A, Lein E, Mello CV, Hartemink AJ, Jarvis ED. 2014. Convergent transcriptional specializations in the brains of humans and song-learning birds. Science 346:1256846-1256846 DOI 10.1126/science.1256846.
41. Pulli K, Karma K, Norio R, Sistonen P, Goring HH, Jarvela I. 2008. Genome-wide linkage scan for loci of musical aptitude in Finnish families: evidence for a major locus at 4q22. Journal of Medical Genetics 45:451-456 DOI 10.1136/jmg.2007.056366.
42. Rammsayer TH, Brandler S. 2003. Differences in mental abilities between musicians and non-musicians. Psychology of Music 31:123-138 DOI 10.1177/0305735603031002290.
43. Renvall H, Salmela E, Vihla M, Illman M, Leinonen E, Kere J, Salmelin R. 2012. Genome-wide linkage analysis of human auditory cortical activation suggests distinct loci on chromosomes 2, 3, and 8. The Journal of Neuroscience 32:14511-14518 DOI 10.1523/JNEUROSCI.1483-12.2012.
44. Roden I, Kreutz G, Bongard S. 2012. Effects of a school-based instrumental music program on verbal and visual memory in primary school children: a longitudinal study. Frontiers in Psychology 3:572 DOI 10.3389/fpsyg.2012.00572.
45. Rodrigues AC, Loureiro MA, Caramelli P. 2013. Long-term musical training may improve different forms of visual attention ability. Brain and Cognition 82:229-235 DOI 10.1016/j.bandc.2013.04.009.
46. Saheki Y, De Camilli P. 2012. Synaptic vesicle endocytosis. Cold Spring Harbor Perspectives in Biology 4:a005645 DOI 10.1101/cshperspect.a005645.
47. Salimpoor VN, Benovoy M, Larcher K, Dagher A, Zatorre RJ. 2011. Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nature Neuroscience 14:257-262 DOI 10.1038/nn.2726.
48. Salimpoor VN, Benovoy M, Longo G, Cooperstock JR, Zatorre RJ. 2009. The rewarding aspects of music listening are related to degree of emotional arousal. PLoS ONE 4:e7487 DOI 10.1371/journal.pone.0007487.
49. Salimpoor VN, Van den Bosch I, Kovacevic N, McIntosh AR, Dagher A, Zatorre RJ. 2013. Interactions between the nucleus accumbens and auditory cortices predict music reward value. Science 340:216-219 DOI 10.1126/science.1231059.
50. Sarkamo T, Tervaniemi M, Laitinen S, ForsblomA, Soinila S, Mikkonen M, Autti T, Silvennoinen HM, Erkkila J, Laine M, Peretz I, Hietanen M. 2008. Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain 131:866-876 DOI 10.1093/brain/awn013.
51. Scherzer CR, Eklund AC, Morse LJ, Liao Z, Locascio JJ, Fefer D, Schwarzschild MA, Schlossmacher MG, Hauser MA, Vance JM, Sudarsky LR, Standaert DG, Growdon JH, Jensen RV, Gullans SR. 2007. Molecular markers of early Parkinson's disease based on gene expression in blood. Proceedings of the National Academy of Sciences of the United States of America 104:955-960 DOI 10.1073/pnas.0610204104.
52. Scherzer CR, Grass JA, Liao Z, Pepivani I, Zheng B, Eklund AC, Ney PA, Ng J, McGoldrick M, Mollenhauer B, Bresnick EH, Schlossmacher MG. 2008. GATA transcription factors directly regulate the Parkinson's disease-linked gene alpha-synuclein. Proceedings of the National Academy of Sciences of the United States of America 105:10907-10912 DOI 10.1073/pnas.0802437105.
53. Schlaug G, Norton A, Overy K, Winner E. 2005. Effects of music training on the child's brain and cognitive development. Annals of the New York Academy of Sciences 1060:219-230 DOI 10.1196/annals.1360.015.
54. Schubert E, Hargreaves DJ, North AC. 2014. A dynamically minimalist cognitive explanation of musical preference: is familiarity everything? Frontiers in Psychology 5:38 DOI 10.3389/fpsyg.2014.00038.
55. Seashore CE, Lewis D, Saetveit JG. 1960. Seashores measures of musical talents. Manual. New York: The Psychological Corp.
56. Sluming V, Brooks J, Howard M, Downes JJ, Roberts N. 2007. Broca's area supports enhanced visuospatial cognition in orchestral musicians. The Journal of Neuroscience 27:3799-3806 DOI 10.1523/JNEUROSCI.0147-07.2007.
57. Südhof TC, Rizo J. 2011. Synaptic vesicle exocytosis. Cold Spring Harbor Perspectives in Biology 3(12):a005637 DOI 10.1101/cshperspect.a005637.
58. Sullivan PF, Fan C, Perou CM. 2006. Evaluating the comparability of gene expression in blood and brain. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 141B:261-268 DOI 10.1002/ajmg.b.30272.
59. Sutoo D, Akiyama K. 2004. Music improves dopaminergic neurotransmission: demonstration based on the effect of music on blood pressure regulation. Brain Research 1016:255-262 DOI 10.1016/j.brainres.2004.05.018.
60. Theusch E, Basu A, Gitschier J. 2009. Genome-wide study of families with absolute pitch reveals linkage to 8q24.21 and locus heterogeneity. American Journal of Human Genetics 85:112-119 DOI 10.1016/j.ajhg.2009.06.010.
61. Tylee DS, Kawaguchi DM, Glatt SJ. 2013. On the outside, looking in: a review and evaluation of the comparability of blood and brain "omes." American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics 162:595-603 DOI 10.1002/ajmg.b.32150.
62. Ukkola-Vuoti L, Oikkonen J, Onkamo P, Karma K, Raijas P, Järvelä I. 2011. Association of the arginine vasopressin receptor 1A (AVPR1A) haplotypes with listening to music. Journal of Human Genetics 56:324-329 DOI 10.1038/jhg.2011.13.
63. Van den Bosch I, Salimpoor VN, Zatorre RJ. 2013. Familiarity mediates the relationship between emotional arousal and pleasure during music listening. Frontiers in Human Neuroscience 7:534 DOI 10.3389/fnhum.2013.00534.
64. Wada K, Howard JT, McConnell P, Whitney O, Lints T, Rivas MV, Horita H, Patterson MA, White SA, Scharff C, Haesler S, Zhao S, Sakaguchi H, Hagiwara M, Shiraki T, Hirozane-Kishikawa T, Skene P, Hayashizaki Y, Carninci P, Jarvis ED. 2006. A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes. Proceedings of the National Academy of Sciences of the United States of America 103:15212-15217 DOI 10.1073/pnas.0607098103.
65. Wang J, Nicol T, Skoe E, Sams M, Kraus N. 2009. Emotion modulates early auditory response to speech. Journal of Cognitive Neuroscience 21:2121-2128 DOI 10.1162/jocn.2008.21147.
66. Wong PCM, Skoe E, Russo NM, Dees T, Kraus N. 2007. Musical experience shapes human brainstem encoding of linguistic pitch patterns. Nature Neuroscience 10:420-422 DOI 10.1038/nn1872.
67. Zhang G, Li C, Li Q, Li B, Larkin DM, Lee C, Storz JF, Antunes A, Greenwold MJ, Meredith RW, Odeen A, Cui J, Zhou Q, Xu L, Pan H, Wang Z, Jin L, Zhang P, Hu H, Yang W, Hu J, Xiao J, Yang Z, Liu Y, Xie Q, Yu H, Lian J, Wen P, Zhang F, Li H, Zeng Y, Xiong Z, Liu S, Zhou L, Huang Z, An N, Wang J, Zheng Q, Xiong Y, Wang G, Wang B, Wang J, Fan Y, da Fonseca RR, Alfaro-Nunez A, Schubert M, Orlando L, Mourier T, Howard JT, Ganapathy G, Pfenning A, Whitney O, Rivas MV, Hara E, Smith J, Farre M, Narayan J, Slavov G, Romanov MN, Borges R, Machado JP, Khan I, Springer MS, Gatesy J, Hoffmann FG, Opazo JC, Hastad O, Sawyer RH, Kim H, Kim K-W, Kim HJ, Cho S, Li N, Huang Y, Bruford MW, Zhan X, Dixon A, Bertelsen MF, Derryberry E, Warren W, Wilson RK, Li S, Ray DA, Green RE, O'Brien SJ, Griffin D, Johnson WE, Haussler D, Ryder OA, Willerslev E, Graves GR, AlstromP, Fjeldsa J, Mindell DP, Edwards SV, Braun EL, Rahbek C, Burt DW, Houde P, Zhang Y, Yang H, Wang J, Jarvis ED, Gilbert MTP, Wang J, Ye C, Liang S, Yan Z, Zepeda ML, Campos PF, Velazquez AMV, Samaniego JA, Avila-Arcos M, Martin MD, Barnett R, Ribeiro AM, Mello CV, Lovell PV, Almeida D, Maldonado E, Pereira J, Sunagar K, Philip S, Dominguez-Bello MG, Bunce M, Lambert D, Brumfield RT, Sheldon FH, Holmes EC, Gardner PP, Steeves TE, Stadler PF, Burge SW, Lyons E, Smith J, McCarthy F, Pitel F, Rhoads D, Froman DP. 2014. Comparative genomics reveals insights into avian genome evolution and adaptation. Science 346:1311-1320 DOI 10.1126/science.1251385.