Literature DB >> 28661727

Transcriptomic Perspectives on Neocortical Structure, Development, Evolution, and Disease.

Ed S Lein1, T Grant Belgard2, Michael Hawrylycz1, Zoltán Molnár3.   

Abstract

The cerebral cortex is the source of our most complex cognitive capabilities and a vulnerable target of many neurological and neuropsychiatric disorders. Transcriptomics offers a new approach to understanding the cortex at the level of its underlying genetic code, and rapid technological advances have propelled this field to the high-throughput study of the complete set of transcribed genes at increasingly fine resolution to the level of individual cells. These tools have revealed features of the genetic architecture of adult cortical areas, layers, and cell types, as well as spatiotemporal patterning during development. This has allowed a fresh look at comparative anatomy as well, illustrating surprisingly large differences between mammals while at the same time revealing conservation of some features from avians to mammals. Finally, transcriptomics is fueling progress in understanding the causes of neurodevelopmental diseases such as autism, linking genetic association studies to specific molecular pathways and affected brain regions.

Entities:  

Keywords:  autism; cerebral cortex; chick; human; mouse; nonhuman primate; transcriptome

Mesh:

Year:  2017        PMID: 28661727     DOI: 10.1146/annurev-neuro-070815-013858

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  35 in total

Review 1.  Disentangling chromatin architecture to gain insights into the etiology of brain disorders.

Authors:  Janine M Lamonica; Zhaolan Zhou
Journal:  Curr Opin Genet Dev       Date:  2019-07-16       Impact factor: 5.578

2.  Protein Synthesis in the Developing Neocortex at Near-Atomic Resolution Reveals Ebp1-Mediated Neuronal Proteostasis at the 60S Tunnel Exit.

Authors:  Matthew L Kraushar; Ferdinand Krupp; Dermot Harnett; Paul Turko; Mateusz C Ambrozkiewicz; Thiemo Sprink; Koshi Imami; Manuel Günnigmann; Ulrike Zinnall; Carlos H Vieira-Vieira; Theres Schaub; Agnieszka Münster-Wandowski; Jörg Bürger; Ekaterina Borisova; Hiroshi Yamamoto; Mladen-Roko Rasin; Uwe Ohler; Dieter Beule; Thorsten Mielke; Victor Tarabykin; Markus Landthaler; Günter Kramer; Imre Vida; Matthias Selbach; Christian M T Spahn
Journal:  Mol Cell       Date:  2020-12-22       Impact factor: 17.970

Review 3.  Lost in Translation: Traversing the Complex Path from Genomics to Therapeutics in Autism Spectrum Disorder.

Authors:  Nenad Sestan; Matthew W State
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

4.  Neurons with Complex Karyotypes Are Rare in Aged Human Neocortex.

Authors:  William D Chronister; Ian E Burbulis; Margaret B Wierman; Matthew J Wolpert; Mark F Haakenson; Aiden C B Smith; Joel E Kleinman; Thomas M Hyde; Daniel R Weinberger; Stefan Bekiranov; Michael J McConnell
Journal:  Cell Rep       Date:  2019-01-22       Impact factor: 9.423

5.  ZEBrA: Zebra finch Expression Brain Atlas-A resource for comparative molecular neuroanatomy and brain evolution studies.

Authors:  Peter V Lovell; Morgan Wirthlin; Taylor Kaser; Alexa A Buckner; Julia B Carleton; Brian R Snider; Anne K McHugh; Alexander Tolpygo; Partha P Mitra; Claudio V Mello
Journal:  J Comp Neurol       Date:  2020-02-19       Impact factor: 3.215

6.  An integrative understanding of comparative cognition: lessons from human brain evolution.

Authors:  Yuxiang Liu; Genevieve Konopka
Journal:  Integr Comp Biol       Date:  2020-10-01       Impact factor: 3.326

7.  Spatiotemporal transcriptomic divergence across human and macaque brain development.

Authors:  Ying Zhu; André M M Sousa; Tianliuyun Gao; Mario Skarica; Mingfeng Li; Gabriel Santpere; Paula Esteller-Cucala; David Juan; Luis Ferrández-Peral; Forrest O Gulden; Mo Yang; Daniel J Miller; Tomas Marques-Bonet; Yuka Imamura Kawasawa; Hongyu Zhao; Nenad Sestan
Journal:  Science       Date:  2018-12-13       Impact factor: 47.728

8.  Integrative functional genomic analysis of human brain development and neuropsychiatric risks.

Authors:  Mingfeng Li; Gabriel Santpere; Yuka Imamura Kawasawa; Oleg V Evgrafov; Forrest O Gulden; Sirisha Pochareddy; Susan M Sunkin; Zhen Li; Yurae Shin; Ying Zhu; André M M Sousa; Donna M Werling; Robert R Kitchen; Hyo Jung Kang; Mihovil Pletikos; Jinmyung Choi; Sydney Muchnik; Xuming Xu; Daifeng Wang; Belen Lorente-Galdos; Shuang Liu; Paola Giusti-Rodríguez; Hyejung Won; Christiaan A de Leeuw; Antonio F Pardiñas; Ming Hu; Fulai Jin; Yun Li; Michael J Owen; Michael C O'Donovan; James T R Walters; Danielle Posthuma; Mark A Reimers; Pat Levitt; Daniel R Weinberger; Thomas M Hyde; Joel E Kleinman; Daniel H Geschwind; Michael J Hawrylycz; Matthew W State; Stephan J Sanders; Patrick F Sullivan; Mark B Gerstein; Ed S Lein; James A Knowles; Nenad Sestan
Journal:  Science       Date:  2018-12-14       Impact factor: 47.728

9.  Integrative structural, functional, and transcriptomic analyses of sex-biased brain organization in humans.

Authors:  Siyuan Liu; Jakob Seidlitz; Jonathan D Blumenthal; Liv S Clasen; Armin Raznahan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-20       Impact factor: 11.205

10.  Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.

Authors:  Yujie Li; Heng Huang; Hanbo Chen; Tianming Liu
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2018-08-07       Impact factor: 3.710

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