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Human Brain Shows Consistent Molecular Architecture Across Individuals and Ethnicities Print E-mail
SciMed - Neuroscience
TS-Si News Service   
Friday, 28 October 2011 15:00
Brain Face.Bethesda, MD, USA. The Human brain shows a consistent molecular architecture across individuals and ethnicities, despite differences in specific genetic codes and variations in gene expression.

The finding is from a pair of studies that have created databases revealing when and where genes turn on and off in multiple brain regions throughout development.


"Our study shows how 650,000 common genetic variations that make each of us a unique person may influence the ebb and flow of 24,000 genes in the most distinctly human part of our brain as we grow and age," explained Joel Kleinman, M.D., Ph.D., of the National Institute of Mental Health (NIMH), Clinical Brain Disorders Branch. Kleinman and Nenad Šestan, M.D., Ph.D. of Yale University led the sister studies in the journal Nature. [C1,C2]

Genetic vs. Transcriptional Distance Colored by Race Comparison :: Our brains are all made of the same stuff. Despite individual and ethnic genetic diversity, our prefrontal cortex shows a consistent molecular architecture. For example, overall differences in the genetic code (genetic distance) between African-Americans (AA) and caucasians (cauc) showed no effect on their overall difference in expressed transcripts (transcriptional distance). The vertical span of color-coded areas is about the same, indicating that our brains all share the same tissue at a molecular level, despite distinct DNA differences on the horizontal axis. Each dot represents a comparison between two individuals. The AA-AA comparisons (blue) generally show more genetic diversity than cauc-cauc comparisons (yellow), because caucasians are descended from a relatively small subset of ancestors who migrated from Africa, while African Americans are descended from a more diverse gene pool among the much larger population that remained in Africa. AA-cauc comparisons (green) differed most across their genomes as a whole, but this had no effect on their transcriptomes as a whole. Image courtesy of Joel Kleinman, M.D., Ph.D., NIMH Clinical Brain Disorders Branch.

Genetic vs. Transcriptional Distance Colored by Race Comparison

Our brains are all made of the same stuff. Despite individual and ethnic genetic diversity, our prefrontal cortex shows a consistent molecular architecture.

Expression Change, Turning Points, and Correlation Across the Lifespan :: Overall gene expression plummets 5-fold in infancy and 90-fold in childhood from its prenatal peak. The decline levels-off during the middle years, but expression surges again in the last decades of life, as the brain ages. Note: The fetal/infant graph at left is based on a different scale than the lifespan graph at right, so the two are not visually comparable. Image courtesy of Joel Kleinman, M.D., Ph.D., NIMH Clinical Brain Disorders Branch.

Expression Change, Turning Points, and Correlation Across the Lifespan

Overall gene expression plummets 5-fold in infancy and 90-fold in childhood from its prenatal peak.

Males Show More Sex-biased Gene Expression :: More genes differentially expressed (DEX) between the sexes were found in males than females, especially prenatally. Some genes found to have such sex-biased expression had previously been associated with disorders that affect males more than females, such as schizophrenia, Williams syndrome, and autism. Eleven of the brain areas shown are in the neocortex (NCX), or outer mantle. Image courtesy of Nenad Sestan, M.D., Ph.D., Yale University Department of Neurobiology and Kavli Institute for Neuroscience.

Males Show More Sex-biased Gene Expression

More genes differentially expressed (DEX) between the sexes were found in males than females, especially prenatally.


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Carlo Colantuoni, PhD, is one of the lead authors of the study (cf. C1) and a former research associate with the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. “We think that these coordinated changes in gene expression connecting fetal development with aging and neurodegeneration are central to how the genome constructs the human brain and how the brain ages.” Colantuoni recently joined the Lieber Institute for Brain Development on the Johns Hopkins Medical Campus.

The research also showed that brain gene expression differences between genetically diverse individuals (of different races, for example) are no greater than the differences between individuals sharing many more genetic traits.

Both studies measured messenger RNAs (transcripts). These intermediate products carry the message from DNA, the genetic blueprint, to create proteins and differentiated brain tissue. Each gene can make several transcripts, are expressed in patterns influenced by a subset of the approximately 1.5 million DNA variations unique to each of us. This set of transcripts is called our transcriptome, a molecular signature that is unique to every individual and a measure of the diverse functional potential that exists in the brain.

The researchers found that rapid gene expression during fetal development abruptly switches to much slower rates after birth that gradually decline and eventually level off in middle age. These rates surge again as the brain ages in the last decades, mirroring rates seen in childhood and adolescence, according to one of the studies. The databases hold secrets to how the brain's ever-changing messenger chemical systems, cells and development processes are related to gene expression patterns through development.

For example, if a particular version of a gene is implicated in a disorder, the new resources might reveal how that variation affects the gene's expression over time and by brain region. By identifying even distant genes that may be turning on and off in-sync, the databases may help researchers discover whole modules of genes involved in the illness. They can also reveal how variation in one gene influences another's expression.

Prefrontal cortex

Kleinman's team focused on how genetic variations are linked to the expression of transcripts in the brain's prefrontal cortex, the area that controls insight, planning and judgment, across the lifespan. [C1] They studied 269 postmortem, healthy human brains, ranging in age from two weeks after conception to 80 years old, using 49,000 genetic probes. The database on prefrontal cortex gene expression alone totals more than 1 trillion pieces of information, according to Kleinman. Among key findings in the prefrontal cortex:
  • Individual genetic variations are profoundly linked to expression patterns. The most similarity across individuals is detected early in development and again as we approach the end of life.

  • Different types of related genes are expressed during prenatal development, infancy, and childhood, so that each of these stages shows a relatively distinct transcriptional identity. Three-fourths of genes reverse their direction of expression after birth, with most switching from on to off.

  • Expression of genes involved in cell division declines prenatally and in infancy, while expression of genes important for making synapses, or connections between brain cells, increases. In contrast, genes required for neuronal projections decline after birth — likely as unused connections are pruned.

  • By the time we reach our 50s, overall gene expression begins to increase, mirroring the sharp reversal of fetal expression changes that occur in infancy.

  • Genetic variation in the genome as a whole showed no effect on variation in the transcriptome as a whole, despite how genetically distant individuals might be. Hence, human cortexes have a consistent molecular architecture, despite our diversity.

In previous studies, Kleinman and colleagues have found that all genetic variations implicated to date in schizophrenia are associated with transcripts that are preferentially expressed in the fetal brain. This adds to evidence that the disorder originates in prenatal development. By contrast, he and his colleagues are examining evidence that genetic variation implicated in affective disorders may be associated with transcripts expressed later in life.

They are also extending their database to include all transcripts of all the genes in the human genome, examining 1000 post-mortem brains, including many of people who had schizophrenia or other brain disorders.

Multiple brain regions

Šestan and colleagues characterized gene expression in 16 brain regions, including 11 areas of the neocortex, from both hemispheres of 57 human brains that spanned from 40 days post-conception to 82 years — analyzing the transcriptomes of 1,340 samples. Using 1.4 million probes, the researchers measured the expression of exons, which combine to form a gene's protein product. This allowed them to pinpoint changes in these combinations that make up a protein, as well as to chart the gene's overall expression.

Among key findings:
  • Over 90 percent of the genes expressed in the brain are differentially regulated across brain regions and/or over developmental time periods. There are also widespread differences across region and time periods in the combination of a gene's exons that are expressed.

  • Timing and location are far more influential in regulating gene expression than gender, ethnicity or individual variation.

  • Among 29 modules of co-expressed genes identified, each had distinct expression patterns and represented different biological processes. Genetic variation in some of the most well-connected genes in these modules, called hub genes, has previously been linked to mental disorders, including schizophrenia and depression.

  • Telltale similarities in expression profiles with genes previously implicated in schizophrenia and autism are providing leads to discovery of other genes potentially involved in those disorders.

  • Sex differences in the risk for certain mental disorders may be traceable to transcriptional mechanisms. More than three-fourths of 159 genes expressed differentially between the sexes were male-biased, most prenatally. Some genes found to have such sex-biased expression had previously been associated with disorders that affect males more than females, such as schizophrenia, Williams syndrome, and autism.

Funding and Online Resources: The Joel E. Kleinman study (C1)The Kleinman study was supported by the National Institutes of Health (NIH).

Data on genetic variability are accessible to qualified researchers at the The database of Genotypes and Phenotypes (dbGaP), a resource developed to archive and distribute the results of studies that have investigated the interaction of genotype and phenotype.

The gene expression data is available from the Gene Expression Omnibus accession display tool.

In addition, BrainCloud enables the visualization of individual gene expression patterns in the human dorsolateral prefrontal conrtex across the lifespan. It is a web browser application developed to interrogate the Kleinman study data.
Funding and Online Resources: The Nenad Šestan study (C2)The Šestan study was funded by the National Institute on Child Health and Human Development (NICHD), the National Institute on Neurological Disorders and Stroke (NINDS), and the National Institute on Drug Abuse (NIDA), all sponsored by the National Institutes of Health (NIH).

Data for the Šestan study are posted at the access site for the Human Brain Transcriptome (HBT) and at the Developing Human Brain site.

Both are part of a larger ongoing study, BrainSpan, funded by the National Institute of Mental Health (NIMH) under the American Recovery and Reinvestment Act to create an Atlas of Human Brain Development.
Citations[C1 Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Carlo Colantuoni, Barbara K. Lipska, Tianzhang Ye, Thomas M. Hyde, Ran Tao, Jeffrey T. Leek, Elizabeth A. Colantuoni, Abdel G. Elkahloun, Mary M. Herman, Daniel R. Weinberger, Joel E. Kleinman. Nature 2011; 478(7370): 519-523. doi:10.1038/nature10524

Abstract

Previous investigations have combined transcriptional and genetic analyses in human cell lines, but few have applied these techniques to human neural tissue. To gain a global molecular perspective on the role of the human genome in cortical development, function and ageing, we explore the temporal dynamics and genetic control of transcription in human prefrontal cortex in an extensive series of post-mortem brains from fetal development through ageing. We discover a wave of gene expression changes occurring during fetal development which are reversed in early postnatal life. One half-century later in life, this pattern of reversals is mirrored in ageing and in neurodegeneration. Although we identify thousands of robust associations of individual genetic polymorphisms with gene expression, we also demonstrate that there is no association between the total extent of genetic differences between subjects and the global similarity of their transcriptional profiles. Hence, the human genome produces a consistent molecular architecture in the prefrontal cortex, despite millions of genetic differences across individuals and races. To enable further discovery, this entire data set is freely available (from Gene Expression Omnibus: accession GSE30272; and dbGaP: accession phs000417.v1.p1) and can also be interrogated via a biologist-friendly stand-alone application (http://www.libd.org/braincloud).

Keywords: genomics, genetics, neuroscience, developmental biology.



[C2 Spatio-temporal transcriptome of the human brain. 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, Željka 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 Šestan. Nature 2011; 478(7370): 483-489. doi:10.1038/nature10523

Abstract

Brain development and function depend on the precise regulation of gene expression. However, our understanding of the complexity and dynamics of the transcriptome of the human brain is incomplete. Here we report the generation and analysis of exon-level transcriptome and associated genotyping data, representing males and females of different ethnicities, from multiple brain regions and neocortical areas of developing and adult post-mortem human brains. We found that 86 per cent of the genes analysed were expressed, and that 90 per cent of these were differentially regulated at the whole-transcript or exon level across brain regions and/or time. The majority of these spatio-temporal differences were detected before birth, with subsequent increases in the similarity among regional transcriptomes. The transcriptome is organized into distinct co-expression networks, and shows sex-biased gene expression and exon usage. We also profiled trajectories of genes associated with neurobiological categories and diseases, and identified associations between single nucleotide polymorphisms and gene expression. This study provides a comprehensive data set on the human brain transcriptome and insights into the transcriptional foundations of human neurodevelopment.

Keywords: genomics, genetics, neuroscience, developmental biology.

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Last Updated on Friday, 28 October 2011 20:11