Twin-peak temporal regulation during human neocortical development.

Wei Wang, Guang-Zhong Wang
Author Information
  1. Wei Wang: CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031 China. ORCID
  2. Guang-Zhong Wang: CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031 China. ORCID

Abstract

Understanding the temporal and spatial expression patterns of the human cerebral cortex is essential for expanding knowledge of its functionality. Previous analysis focused on the differentially expressed genes (DEGs) among cortical subregions revealed an hourglass model for interareal differences. However, the overall pattern of transcriptional differences during the development of every region remains to be fully explored. Here, analysing more than 800 neocortex samples from lifespan transcriptional profiles revealed that excitatory neurons are more regulated than inhibitory neurons in the foetal brain. Developmental DEGs tend to be resting state or memory encoding-related and are also involved in autism and Alzheimer's disease. In addition, twin peaks of DEGs occur during the development of each neocortex region, with a first peak appearing in the perinatal period and an unexpected second peak appearing around childhood. Genes in these peaks have similar functions, but the second peak is more inhibitory neuron related. All these results emphasize the significance of this unique temporal regulatory pattern for human neocortical development.

Keywords

References

  1. Nat Rev Neurosci. 2013 Feb;14(2):112-27 [PMID: 23324662]
  2. Science. 2015 Jun 12;348(6240):1241-4 [PMID: 26068849]
  3. Nature. 2011 Oct 26;478(7370):483-9 [PMID: 22031440]
  4. Nature. 2016 Jul 13;535(7612):367-75 [PMID: 27409810]
  5. Bioinformatics. 2009 Jan 15;25(2):288-9 [PMID: 19033274]
  6. Sci Rep. 2012;2:342 [PMID: 22461973]
  7. Trends Neurosci. 2008 Dec;31(12):637-44 [PMID: 18848363]
  8. OMICS. 2012 May;16(5):284-7 [PMID: 22455463]
  9. Neuron. 2015 Nov 18;88(4):659-66 [PMID: 26590343]
  10. Nat Neurosci. 2017 Jun;20(6):886-895 [PMID: 28414332]
  11. Nat Neurosci. 2018 Jun;21(6):811-819 [PMID: 29802388]
  12. Nature. 2018 Mar 22;555(7697):524-528 [PMID: 29539641]
  13. Nature. 2012 Sep 20;489(7416):391-399 [PMID: 22996553]
  14. Proc Natl Acad Sci U S A. 2007 Sep 25;104(39):15531-6 [PMID: 17878310]
  15. Proc Natl Acad Sci U S A. 2015 Jan 13;112(2):578-83 [PMID: 25548178]
  16. Elife. 2017 Nov 09;6: [PMID: 29120328]
  17. Mol Autism. 2013 Oct 03;4(1):36 [PMID: 24090431]
  18. Cell. 2015 Nov 19;163(5):1165-1175 [PMID: 26590420]
  19. Nature. 2014 Apr 10;508(7495):199-206 [PMID: 24695229]
  20. Cereb Cortex. 2018 May 1;28(5):1733-1748 [PMID: 28383644]
  21. Nat Rev Genet. 2008 Oct;9(10):749-63 [PMID: 18802414]
  22. Nat Neurosci. 2018 Sep;21(9):1171-1184 [PMID: 30154505]
  23. Neuron. 2009 May 28;62(4):494-509 [PMID: 19477152]
  24. Bioinformatics. 2008 Mar 1;24(5):719-20 [PMID: 18024473]
  25. Hum Brain Mapp. 2012 May;33(5):1189-201 [PMID: 21520347]
  26. Neuron. 2014 Jan 22;81(2):321-32 [PMID: 24373884]
  27. Science. 2018 May 25;360(6391):881-888 [PMID: 29724907]
  28. Stat Appl Genet Mol Biol. 2005;4:Article17 [PMID: 16646834]
  29. Science. 2018 Dec 14;362(6420): [PMID: 30545854]
  30. BMC Bioinformatics. 2008 Dec 29;9:559 [PMID: 19114008]
  31. Genome Res. 2018 Aug;28(8):1097-1110 [PMID: 29898898]
  32. Neuron. 2014 Jan 22;81(2):224-6 [PMID: 24462090]
  33. Nat Neurosci. 2015 Dec;18(12):1832-44 [PMID: 26571460]
  34. Nature. 2011 Oct 26;478(7370):519-23 [PMID: 22031444]
  35. Cell Syst. 2017 Jan 25;4(1):60-72.e4 [PMID: 27989508]
  36. Cell Res. 2018 Jul;28(7):730-745 [PMID: 29867213]

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