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Topol A, English JA, Flaherty E, Rajarajan P, Hartley BJ, Gupta S, Desland F, Zhu S, Goff T, Friedman L, Rapoport J, Felsenfeld D, Cagney G, Mackay-Sim A, Savas JN, Aronow B, Fang G, Zhang B, Cotter D, Brennand KJ. Increased abundance of translation machinery in stem cell-derived neural progenitor cells from four schizophrenia patients. Transl Psychiatry 2015; 5:e662. [PMID: 26485546 PMCID: PMC4930118 DOI: 10.1038/tp.2015.118] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Revised: 06/23/2015] [Accepted: 06/25/2015] [Indexed: 12/17/2022] Open
Abstract
The genetic and epigenetic factors contributing to risk for schizophrenia (SZ) remain unresolved. Here we demonstrate, for the first time, perturbed global protein translation in human-induced pluripotent stem cell (hiPSC)-derived forebrain neural progenitor cells (NPCs) from four SZ patients relative to six unaffected controls. We report increased total protein levels and protein synthesis, together with two independent sets of quantitative mass spectrometry evidence indicating markedly increased levels of ribosomal and translation initiation and elongation factor proteins, in SZ hiPSC NPCs. We posit that perturbed levels of global protein synthesis in SZ hiPSC NPCs represent a novel post-transcriptional mechanism that might contribute to disease progression.
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Affiliation(s)
- A Topol
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J A English
- Royal College of Surgeons in Ireland, Beaumont Hospital, Beaumont, Dublin, Ireland
| | - E Flaherty
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - P Rajarajan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - B J Hartley
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - S Gupta
- Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - F Desland
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - S Zhu
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T Goff
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - L Friedman
- Childhood Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - J Rapoport
- Childhood Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - D Felsenfeld
- Department of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Cagney
- UCD Conway Institute of Biomolecular and Biomedical Research, Dublin, Ireland
| | - A Mackay-Sim
- Eskitis Institute for Drug Discovery, Griffith University, Brisbane, QLD, Australia
| | - J N Savas
- Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA, USA
| | - B Aronow
- Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - G Fang
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - B Zhang
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - D Cotter
- Royal College of Surgeons in Ireland, Beaumont Hospital, Beaumont, Dublin, Ireland
| | - K J Brennand
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Iwamoto K, Ueda J, Bundo M, Kojima T, Kato T. Survey of the effect of genetic variations on gene expression in human prefrontal cortex and its application to genetics of psychiatric disorders. Neurosci Res 2011; 70:238-42. [PMID: 21382426 DOI: 10.1016/j.neures.2011.02.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2011] [Revised: 02/24/2011] [Accepted: 02/24/2011] [Indexed: 01/19/2023]
Abstract
Identifying the genetic basis of gene expression variation in the human brain is important for understanding brain physiology and pathophysiology. We investigated the genetic basis of gene expression variation in human prefrontal cortex using single nucleotide polymorphisms (SNPs) and taking into consideration brain sample pH. From approximately 12,000 brain-expressed transcripts, we identified 187 cis-regulated transcripts. Some of the transcripts were identified as cis-regulated in the lymphoblastoid cells or lymphocytes, which suggests common cis-regulation across different tissues. Knowledge of genetic variations contributing to differences in gene expression in the brain would be particularly useful in the study of neuropsychiatric disorders in combination with a large-scale genome-wide association study. Using Wellcome Trust Case Control Consortium association study data, we identified SNPs associated with bipolar disorder and gene expression variation in the human brain. We found that SNPs in the AKAP10 and PRKCI genes are significantly associated with bipolar disorder and gene expression variation.
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Affiliation(s)
- Kazuya Iwamoto
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
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Harrison PJ, Laatikainen LM, Tunbridge EM, Eastwood SL. Human brain weight is correlated with expression of the 'housekeeping genes' beta-2-microglobulin (β2M) and TATA-binding protein (TBP). Neuropathol Appl Neurobiol 2010; 36:498-504. [PMID: 20831744 PMCID: PMC3789120 DOI: 10.1111/j.1365-2990.2010.01098.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
AIMS Many variables affect mRNA measurements in post mortem human brain tissue. Brain weight has not hitherto been considered to be such a factor. This study examined whether there is any relationship between brain weight and mRNA abundance. METHODS We investigated quantitative real-time RT-PCR data for five 'housekeeping genes' using the 104 adult brains of the Stanley Microarray Consortium series. Eleven data sets were analysed, from cerebellum, hippocampus, and anterior cingulate cortex. We used a specified sequence of correlations, partial correlations and multiple regression analyses. RESULTS Brain weight correlated with the 'raw' (i.e. non-normalized) data for two mRNAs, β2-microglobulin and TATA-binding protein, measured in cerebellum and hippocampus, respectively. In hippocampus, the geometric mean of three housekeeping gene transcripts also correlated with brain weight. The correlations were significant after adjusting for age, sex and other confounders, and the effect of brain weight was confirmed using multiple regression. No correlations with brain weight were seen in the anterior cingulate cortex, nor for the other mRNAs examined. CONCLUSIONS The findings were not anticipated; they need replication in another brain series, and a more systematic survey is indicated. In the interim, we suggest that quantitative gene expression studies in human brain should inspect for a potential influence of brain weight, especially as the affected transcripts are commonly used as reference genes for normalization purposes in studies of neurological and psychiatric disorders. The relationship of brain weight with β2-microglobulin mRNA may reflect the roles of major histocompatibility complex class I genes in synapse formation and plasticity.
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Affiliation(s)
- P J Harrison
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
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Gene expression profiling of major depression and suicide in the prefrontal cortex of postmortem brains. Neurosci Res 2007; 60:184-91. [PMID: 18068248 DOI: 10.1016/j.neures.2007.10.010] [Citation(s) in RCA: 122] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2007] [Revised: 10/03/2007] [Accepted: 10/26/2007] [Indexed: 12/22/2022]
Abstract
Genome-wide gene expression analysis using DNA microarray has a great advantage to identify the genes or specific molecular cascades involved in mental diseases, including major depression and suicide. In the present study, we conducted DNA microarray analysis of major depression using postmortem prefrontal cortices. The gene expression patterns were compared between the controls and subjects with major depression. As a result, 99 genes were listed as the differentially expressed genes in major depression, of which several genes such as FGFR1, NCAM1, and CAMK2A were of interest. Gene ontology analysis suggested an overrepresentation of genes implicated in the downregulation or inhibition of cell proliferation. The present results may support the hypothesis that major depression is associated with impaired cellular proliferation and plasticity. Comparison between the controls and suicide victims with major depression, bipolar disorder, or schizophrenia was also conducted in the present study. Two genes, CAD and ATP1A3, were differentially expressed in the three comparisons in the same direction. Interestingly, these two genes were also included in the differentially expressed 99 genes in major depression. It may be worth investigating the genes in relation to suicide or major depression.
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Iwamoto K, Ueda J, Nakano Y, Bundo M, Ukai W, Hashimoto E, Saito T, Kato T. Evaluation of whole genome amplification methods using postmortem brain samples. J Neurosci Methods 2007; 165:104-10. [PMID: 17604841 DOI: 10.1016/j.jneumeth.2007.05.029] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2007] [Revised: 05/25/2007] [Accepted: 05/28/2007] [Indexed: 12/20/2022]
Abstract
The importance of examining genomic DNA derived from human brain has been highlighted by recent findings such as the possible link between DNA methylation and behavior or mental disorders, as well as the possible genomic differences between neurons from the same individual caused by transposons and aneuploidy. Consequently, obtaining a sufficient amount of genomic DNA derived from human brain is a critical issue for further research. Whole genome amplification (WGA) methods, by which genomic DNA is typically amplified on the order of 10(4)-10(6), will be a valuable tool for providing a sufficient amount of DNA for various molecular genetic studies. Here we evaluated three methods, including both PCR-based and non-PCR based WGA, as well as DNA extraction methods using frozen postmortem brain tissue. We found that WGA products from postmortem brains can be used in molecular genetic analysis, if a particular protocol for DNA extraction is used, and the most appropriate method for WGA depends on the state of the genomic DNA to be amplified.
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Affiliation(s)
- Kazuya Iwamoto
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
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