Literature DB >> 27100485

Cell type-specific transcriptome profiling in mammalian brains.

Peter R LoVerso1, Feng Cui2.   

Abstract

A mammalian brain contains numerous types of cells. Advances in neuroscience in the past decade allow us to identify and isolate neural cells of interest from mammalian brains. Recent developments in high-throughput technologies, such as microarrays and next-generation sequencing (NGS), provide detailed information on gene expression in pooled cells on a genomic scale. As a result, many novel genes have been found critical in cell type-specific transcriptional regulation. These differentially expressed genes can be used as molecular signatures, unique to a particular class of neural cells. Use of this gene expression-based approach can further differentiate neural cell types into subtypes, potentially linking some of them with neurological diseases. In this article, experimental techniques used to purify neural cells are described, followed by a review on recent microarray- or NGS-based transcriptomic studies of common neural cell types. The future prospects of cell type-specific research are also discussed.

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Year:  2016        PMID: 27100485      PMCID: PMC4990780          DOI: 10.2741/4434

Source DB:  PubMed          Journal:  Front Biosci (Landmark Ed)        ISSN: 2768-6698


  91 in total

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Journal:  Curr Opin Genet Dev       Date:  2010-07-07       Impact factor: 5.578

2.  Neocortical glial cell numbers in human brains.

Authors:  D P Pelvig; H Pakkenberg; A K Stark; B Pakkenberg
Journal:  Neurobiol Aging       Date:  2007-06-01       Impact factor: 4.673

3.  Cell type-specific transcriptomics in the brain.

Authors:  Benjamin W Okaty; Ken Sugino; Sacha B Nelson
Journal:  J Neurosci       Date:  2011-05-11       Impact factor: 6.167

4.  Yeast microarrays for genome wide parallel genetic and gene expression analysis.

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Journal:  Proc Natl Acad Sci U S A       Date:  1997-11-25       Impact factor: 11.205

5.  Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo.

Authors:  Paola Arlotta; Bradley J Molyneaux; Jinhui Chen; Jun Inoue; Ryo Kominami; Jeffrey D Macklis
Journal:  Neuron       Date:  2005-01-20       Impact factor: 17.173

6.  Amplification-free digital gene expression profiling from minute cell quantities.

Authors:  Fatih Ozsolak; David T Ting; Ben S Wittner; Brian W Brannigan; Suchismita Paul; Nabeel Bardeesy; Sridhar Ramaswamy; Patrice M Milos; Daniel A Haber
Journal:  Nat Methods       Date:  2010-07-18       Impact factor: 28.547

Review 7.  Single-molecule approaches to stochastic gene expression.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Annu Rev Biophys       Date:  2009       Impact factor: 12.981

8.  Spatio-temporal transcriptome of the human brain.

Authors:  Hyo Jung Kang; Yuka Imamura Kawasawa; Feng Cheng; Ying Zhu; Xuming Xu; Mingfeng Li; André M M Sousa; Mihovil Pletikos; Kyle A Meyer; Goran Sedmak; Tobias Guennel; Yurae Shin; Matthew B Johnson; Zeljka Krsnik; Simone Mayer; Sofia Fertuzinhos; Sheila Umlauf; Steven N Lisgo; Alexander Vortmeyer; Daniel R Weinberger; Shrikant Mane; Thomas M Hyde; Anita Huttner; Mark Reimers; Joel E Kleinman; Nenad Sestan
Journal:  Nature       Date:  2011-10-26       Impact factor: 49.962

9.  Isoform diversity and regulation in peripheral and central neurons revealed through RNA-Seq.

Authors:  Jessica K Lerch; Frank Kuo; Dario Motti; Richard Morris; John L Bixby; Vance P Lemmon
Journal:  PLoS One       Date:  2012-01-17       Impact factor: 3.240

10.  Cross-species Transcriptomic Comparison of In Vitro and In Vivo Mammalian Neural Cells.

Authors:  Peter R LoVerso; Christopher M Wachter; Feng Cui
Journal:  Bioinform Biol Insights       Date:  2015-11-25
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Authors:  Yan Jouroukhin; Xiaolei Zhu; Alexey V Shevelkin; Yuto Hasegawa; Bagrat Abazyan; Atsushi Saito; Jonathan Pevsner; Atsushi Kamiya; Mikhail V Pletnikov
Journal:  Biol Psychiatry       Date:  2018-08-16       Impact factor: 13.382

Review 2.  Transport protein evolution deduced from analysis of sequence, topology and structure.

Authors:  Milton H Saier
Journal:  Curr Opin Struct Biol       Date:  2016-06-04       Impact factor: 6.809

3.  Transcriptional signatures of brain aging and Alzheimer's disease: What are our rodent models telling us?

Authors:  Kendra E Hargis; Eric M Blalock
Journal:  Behav Brain Res       Date:  2016-05-04       Impact factor: 3.332

Review 4.  Brain Cell Type-Specific Nuclear Proteomics Is Imperative to Resolve Neurodegenerative Disease Mechanisms.

Authors:  Ruth S Nelson; Eric B Dammer; Juliet V Santiago; Nicholas T Seyfried; Srikant Rangaraju
Journal:  Front Neurosci       Date:  2022-06-16       Impact factor: 5.152

5.  Region-specific RNA m6A methylation represents a new layer of control in the gene regulatory network in the mouse brain.

Authors:  Mengqi Chang; Hongyi Lv; Weilong Zhang; Chunhui Ma; Xue He; Shunli Zhao; Zhi-Wei Zhang; Yi-Xin Zeng; Shuhui Song; Yamei Niu; Wei-Min Tong
Journal:  Open Biol       Date:  2017-09       Impact factor: 6.411

6.  RNA m6A methylation participates in regulation of postnatal development of the mouse cerebellum.

Authors:  Chunhui Ma; Mengqi Chang; Hongyi Lv; Zhi-Wei Zhang; Weilong Zhang; Xue He; Gaolang Wu; Shunli Zhao; Yao Zhang; Di Wang; Xufei Teng; Chunying Liu; Qing Li; Arne Klungland; Yamei Niu; Shuhui Song; Wei-Min Tong
Journal:  Genome Biol       Date:  2018-05-31       Impact factor: 13.583

  6 in total

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