52
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Quantitative Expression Profile of Distinct Functional Regions in the Adult Mouse Brain

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The adult mammalian brain is composed of distinct regions with specialized roles including regulation of circadian clocks, feeding, sleep/awake, and seasonal rhythms. To find quantitative differences of expression among such various brain regions, we conducted the BrainStars (B*) project, in which we profiled the genome-wide expression of ∼50 small brain regions, including sensory centers, and centers for motion, time, memory, fear, and feeding. To avoid confounds from temporal differences in gene expression, we sampled each region every 4 hours for 24 hours, and pooled the samples for DNA-microarray assays. Therefore, we focused on spatial differences in gene expression. We used informatics to identify candidate genes with expression changes showing high or low expression in specific regions. We also identified candidate genes with stable expression across brain regions that can be used as new internal control genes, and ligand-receptor interactions of neurohormones and neurotransmitters. Through these analyses, we found 8,159 multi-state genes, 2,212 regional marker gene candidates for 44 small brain regions, 915 internal control gene candidates, and 23,864 inferred ligand-receptor interactions. We also found that these sets include well-known genes as well as novel candidate genes that might be related to specific functions in brain regions. We used our findings to develop an integrated database ( http://brainstars.org/) for exploring genome-wide expression in the adult mouse brain, and have made this database openly accessible. These new resources will help accelerate the functional analysis of the mammalian brain and the elucidation of its regulatory network systems.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: not found

          The transcriptional network for mesenchymal transformation of brain tumors

          Inference of transcriptional networks that regulate transitions into physiologic or pathologic cellular states remains a central challenge in systems biology. A mesenchymal phenotype is the hallmark of tumor aggressiveness in human malignant glioma but the regulatory programs responsible for implementing the associated molecular signature are largely unknown. Here, we show that reverse-engineering and unbiased interrogation of a glioma-specific regulatory network reveal the transcriptional module that activates expression of mesenchymal genes in malignant glioma. Two transcription factors (C/EBPβ and Stat3) emerge as synergistic initiators and master regulators of mesenchymal transformation. Ectopic co-expression of C/EBPβ and Stat3 reprograms neural stem cells along the aberrant mesenchymal lineage whereas elimination of the two factors in glioma cells leads to collapse of the mesenchymal signature and reduces tumor aggressiveness. In human glioma, expression of C/EBPβ and Stat3 correlates with mesenchymal differentiation and predicts poor clinical outcome. These results reveal that activation of a small regulatory module is necessary and sufficient to initiate and maintain an aberrant phenotypic state in cancer cells.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The molecular basis of CaMKII function in synaptic and behavioural memory.

            Long-term potentiation (LTP) in the CA1 region of the hippocampus has been the primary model by which to study the cellular and molecular basis of memory. Calcium/calmodulin-dependent protein kinase II (CaMKII) is necessary for LTP induction, is persistently activated by stimuli that elicit LTP, and can, by itself, enhance the efficacy of synaptic transmission. The analysis of CaMKII autophosphorylation and dephosphorylation indicates that this kinase could serve as a molecular switch that is capable of long-term memory storage. Consistent with such a role, mutations that prevent persistent activation of CaMKII block LTP, experience-dependent plasticity and behavioural memory. These results make CaMKII a leading candidate in the search for the molecular basis of memory.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Anatomical profiling of nuclear receptor expression reveals a hierarchical transcriptional network.

              In multicellular organisms, the ability to regulate reproduction, development, and nutrient utilization coincided with the evolution of nuclear receptors (NRs), transcription factors that utilize lipophilic ligands to mediate their function. Studying the expression profile of NRs offers a simple, powerful way to obtain highly relational information about their physiologic functions as individual proteins and as a superfamily. We surveyed the expression of all 49 mouse NR mRNAs in 39 tissues, representing diverse anatomical systems. The resulting data set uncovers several NR clades whose patterns of expression indicate their ability to coordinate the transcriptional programs necessary to affect distinct physiologic pathways. Remarkably, this regulatory network divides along the following two physiologic paradigms: (1) reproduction, development, and growth and (2) nutrient uptake, metabolism, and excretion. These data reveal a hierarchical transcriptional circuitry that extends beyond individual tissues to form a meganetwork governing physiology on an organismal scale.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                12 August 2011
                : 6
                : 8
                : e23228
                Affiliations
                [1 ]Functional Genomics Unit, RIKEN Center for Developmental Biology, Kobe, Hyogo, Japan
                [2 ]Laboratory for Systems Biology, RIKEN Center for Developmental Biology, Kobe, Hyogo, Japan
                [3 ]Department of Anatomy and Neurobiology, Kinki University School of Medicine, Osaka, Japan
                [4 ]Graduate School of Science, Osaka University, Osaka, Japan
                [5 ]Laboratory for Neocortical Development, RIKEN Center for Developmental Biology, Hyogo, Japan
                [6 ]Department of Mathematics, Graduate School of Science, Kyoto University, Kyoto, Japan
                [7 ]Laboratory for Synthetic Biology, RIKEN Quantitative Biology Center, Kobe, Hyogo, Japan
                National Institutes of Health, United States of America
                Author notes

                Conceived and designed the experiments: HRU YS. Performed the experiments: KM MN YS KDU KT. Analyzed the data: TK IN. Wrote the paper: TK KM IN HRU. Annotated and evaluated the results: KM CH YS.

                Article
                PONE-D-11-05522
                10.1371/journal.pone.0023228
                3155528
                21858037
                9b38977b-7b9d-4d01-8ac5-312de984c5d7
                Kasukawa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 25 March 2011
                : 12 July 2011
                Page count
                Pages: 16
                Categories
                Research Article
                Biology
                Computational Biology
                Genomics
                Genome Expression Analysis
                Microarrays
                Genomics
                Functional Genomics
                Genome Expression Analysis
                Neuroscience

                Uncategorized
                Uncategorized

                Comments

                Comment on this article