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  • Gene Expression Profiling  (12)
  • Nature Publishing Group (NPG)  (12)
  • Springer
  • American Geophysical Union (AGU)
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  • 1
    Publication Date: 2008-11-07
    Description: Acute myeloid leukaemia is a highly malignant haematopoietic tumour that affects about 13,000 adults in the United States each year. The treatment of this disease has changed little in the past two decades, because most of the genetic events that initiate the disease remain undiscovered. Whole-genome sequencing is now possible at a reasonable cost and timeframe to use this approach for the unbiased discovery of tumour-specific somatic mutations that alter the protein-coding genes. Here we present the results obtained from sequencing a typical acute myeloid leukaemia genome, and its matched normal counterpart obtained from the same patient's skin. We discovered ten genes with acquired mutations; two were previously described mutations that are thought to contribute to tumour progression, and eight were new mutations present in virtually all tumour cells at presentation and relapse, the function of which is not yet known. Our study establishes whole-genome sequencing as an unbiased method for discovering cancer-initiating mutations in previously unidentified genes that may respond to targeted therapies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2603574/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2603574/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ley, Timothy J -- Mardis, Elaine R -- Ding, Li -- Fulton, Bob -- McLellan, Michael D -- Chen, Ken -- Dooling, David -- Dunford-Shore, Brian H -- McGrath, Sean -- Hickenbotham, Matthew -- Cook, Lisa -- Abbott, Rachel -- Larson, David E -- Koboldt, Dan C -- Pohl, Craig -- Smith, Scott -- Hawkins, Amy -- Abbott, Scott -- Locke, Devin -- Hillier, Ladeana W -- Miner, Tracie -- Fulton, Lucinda -- Magrini, Vincent -- Wylie, Todd -- Glasscock, Jarret -- Conyers, Joshua -- Sander, Nathan -- Shi, Xiaoqi -- Osborne, John R -- Minx, Patrick -- Gordon, David -- Chinwalla, Asif -- Zhao, Yu -- Ries, Rhonda E -- Payton, Jacqueline E -- Westervelt, Peter -- Tomasson, Michael H -- Watson, Mark -- Baty, Jack -- Ivanovich, Jennifer -- Heath, Sharon -- Shannon, William D -- Nagarajan, Rakesh -- Walter, Matthew J -- Link, Daniel C -- Graubert, Timothy A -- DiPersio, John F -- Wilson, Richard K -- U54 HG002042/HG/NHGRI NIH HHS/ -- U54 HG002042-05/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Nov 6;456(7218):66-72. doi: 10.1038/nature07485.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63108, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18987736" target="_blank"〉PubMed〈/a〉
    Keywords: Case-Control Studies ; Disease Progression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Leukemia, Myeloid, Acute/*genetics ; Mutagenesis, Insertional ; Mutation ; Polymorphism, Single Nucleotide ; Recurrence ; Sequence Analysis, DNA ; Sequence Deletion ; Skin/metabolism
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  • 2
    Publication Date: 2015-06-02
    Description: Understanding the diversity of human tissues is fundamental to disease and requires linking genetic information, which is identical in most of an individual's cells, with epigenetic mechanisms that could have tissue-specific roles. Surveys of DNA methylation in human tissues have established a complex landscape including both tissue-specific and invariant methylation patterns. Here we report high coverage methylomes that catalogue cytosine methylation in all contexts for the major human organ systems, integrated with matched transcriptomes and genomic sequence. By combining these diverse data types with each individuals' phased genome, we identified widespread tissue-specific differential CG methylation (mCG), partially methylated domains, allele-specific methylation and transcription, and the unexpected presence of non-CG methylation (mCH) in almost all human tissues. mCH correlated with tissue-specific functions, and using this mark, we made novel predictions of genes that escape X-chromosome inactivation in specific tissues. Overall, DNA methylation in several genomic contexts varies substantially among human tissues.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499021/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499021/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schultz, Matthew D -- He, Yupeng -- Whitaker, John W -- Hariharan, Manoj -- Mukamel, Eran A -- Leung, Danny -- Rajagopal, Nisha -- Nery, Joseph R -- Urich, Mark A -- Chen, Huaming -- Lin, Shin -- Lin, Yiing -- Jung, Inkyung -- Schmitt, Anthony D -- Selvaraj, Siddarth -- Ren, Bing -- Sejnowski, Terrence J -- Wang, Wei -- Ecker, Joseph R -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99 NS080911/NS/NINDS NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- R00 NS080911/NS/NINDS NIH HHS/ -- R00NS080911/NS/NINDS NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- T32 GM008666/GM/NIGMS NIH HHS/ -- U01 ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Jul 9;523(7559):212-6. doi: 10.1038/nature14465. Epub 2015 Jun 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Bioinformatics Program, University of California, San Diego, La Jolla, California 92093, USA [2] Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA. ; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, USA. ; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA. ; 1] Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Department of Cognitive Science, University of California, San Diego, La Jolla, California 92037, USA. ; Ludwig Institute for Cancer Research, La Jolla, California 92093, USA. ; Department of Genetics, Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA. ; Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8109, St Louis, Missouri 63110, USA. ; Bioinformatics Program, University of California, San Diego, La Jolla, California 92093, USA. ; 1] Ludwig Institute for Cancer Research, La Jolla, California 92093, USA [2] University of California, San Diego School of Medicine, Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, La Jolla, California 92093, USA. ; 1] Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Division of Biological Sciences, University of California at San Diego, La Jolla, California 92037, USA [3] Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA. ; 1] Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, USA [2] Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California 92093, USA. ; 1] Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26030523" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; Alleles ; Chromosome Mapping ; *DNA Methylation ; *Epigenesis, Genetic ; Female ; Gene Expression Profiling ; Gene Expression Regulation ; Genetic Variation ; Humans ; Male ; Organ Specificity
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  • 3
    Publication Date: 2014-11-14
    Description: Evolutionary expansion of the human neocortex underlies many of our unique mental abilities. This expansion has been attributed to the increased proliferative potential of radial glia (RG; neural stem cells) and their subventricular dispersion from the periventricular niche during neocortical development. Such adaptations may have evolved through gene expression changes in RG. However, whether or how RG gene expression varies between humans and other species is unknown. Here we show that the transcriptional profiles of human and mouse neocortical RG are broadly conserved during neurogenesis, yet diverge for specific signalling pathways. By analysing differential gene co-expression relationships between the species, we demonstrate that the growth factor PDGFD is specifically expressed by RG in human, but not mouse, corticogenesis. We also show that the expression domain of PDGFRbeta, the cognate receptor for PDGFD, is evolutionarily divergent, with high expression in the germinal region of dorsal human neocortex but not in the mouse. Pharmacological inhibition of PDGFD-PDGFRbeta signalling in slice culture prevents normal cell cycle progression of neocortical RG in human, but not mouse. Conversely, injection of recombinant PDGFD or ectopic expression of constitutively active PDGFRbeta in developing mouse neocortex increases the proportion of RG and their subventricular dispersion. These findings highlight the requirement of PDGFD-PDGFRbeta signalling for human neocortical development and suggest that local production of growth factors by RG supports the expanded germinal region and progenitor heterogeneity of species with large brains.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231536/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231536/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lui, Jan H -- Nowakowski, Tomasz J -- Pollen, Alex A -- Javaherian, Ashkan -- Kriegstein, Arnold R -- Oldham, Michael C -- R01 NS021223/NS/NINDS NIH HHS/ -- R01 NS072630/NS/NINDS NIH HHS/ -- R01 NS075998/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Nov 13;515(7526):264-8. doi: 10.1038/nature13973.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neurology and The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, California 94143, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25391964" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Cycle ; Cell Proliferation ; Gene Expression Profiling ; Humans ; Lymphokines/genetics/*metabolism ; Mice ; Neocortex/cytology/growth & development/*metabolism ; Neuroglia/cytology/*metabolism ; Platelet-Derived Growth Factor/genetics/*metabolism ; Receptor, Platelet-Derived Growth Factor beta/*metabolism ; *Signal Transduction/genetics ; Transcription, Genetic
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  • 4
    Publication Date: 2014-11-11
    Description: The move of vertebrates to a terrestrial lifestyle required major adaptations in their locomotory apparatus and reproductive organs. While the fin-to-limb transition has received considerable attention, little is known about the developmental and evolutionary origins of external genitalia. Similarities in gene expression have been interpreted as a potential evolutionary link between the limb and genitals; however, no underlying developmental mechanism has been identified. We re-examined this question using micro-computed tomography, lineage tracing in three amniote clades, and RNA-sequencing-based transcriptional profiling. Here we show that the developmental origin of external genitalia has shifted through evolution, and in some taxa limbs and genitals share a common primordium. In squamates, the genitalia develop directly from the budding hindlimbs, or the remnants thereof, whereas in mice the genital tubercle originates from the ventral and tail bud mesenchyme. The recruitment of different cell populations for genital outgrowth follows a change in the relative position of the cloaca, the genitalia organizing centre. Ectopic grafting of the cloaca demonstrates the conserved ability of different mesenchymal cells to respond to these genitalia-inducing signals. Our results support a limb-like developmental origin of external genitalia as the ancestral condition. Moreover, they suggest that a change in the relative position of the cloacal signalling centre during evolution has led to an altered developmental route for external genitalia in mammals, while preserving parts of the ancestral limb molecular circuitry owing to a common evolutionary origin.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294627/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294627/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tschopp, Patrick -- Sherratt, Emma -- Sanger, Thomas J -- Groner, Anna C -- Aspiras, Ariel C -- Hu, Jimmy K -- Pourquie, Olivier -- Gros, Jerome -- Tabin, Clifford J -- R37 HD032443/HD/NICHD NIH HHS/ -- R37-HD032443/HD/NICHD NIH HHS/ -- England -- Nature. 2014 Dec 18;516(7531):391-4. doi: 10.1038/nature13819. Epub 2014 Nov 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. ; 1] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), 67400 Illkirch, France [3] Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA. ; Developmental and Stem Cell Biology Department, Institut Pasteur, 75724 Paris Cedex 15, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25383527" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biological Evolution ; Cell Lineage ; Cloaca/anatomy & histology/*embryology ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Genitalia/anatomy & histology/*embryology/metabolism ; Mice ; Phylogeny ; Signal Transduction ; Snakes/embryology ; Tissue Transplantation ; X-Ray Microtomography
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  • 5
    Publication Date: 2011-01-21
    Description: Cutaneous malignant melanoma is a highly aggressive and frequently chemoresistant cancer, the incidence of which continues to rise. Epidemiological studies show that the major aetiological melanoma risk factor is ultraviolet (UV) solar radiation, with the highest risk associated with intermittent burning doses, especially during childhood. We have experimentally validated these epidemiological findings using the hepatocyte growth factor/scatter factor transgenic mouse model, which develops lesions in stages highly reminiscent of human melanoma with respect to biological, genetic and aetiological criteria, but only when irradiated as neonatal pups with UVB, not UVA. However, the mechanisms underlying UVB-initiated, neonatal-specific melanomagenesis remain largely unknown. Here we introduce a mouse model permitting fluorescence-aided melanocyte imaging and isolation following in vivo UV irradiation. We use expression profiling to show that activated neonatal skin melanocytes isolated following a melanomagenic UVB dose bear a distinct, persistent interferon response signature, including genes associated with immunoevasion. UVB-induced melanocyte activation, characterized by aberrant growth and migration, was abolished by antibody-mediated systemic blockade of interferon-gamma (IFN-gamma), but not type-I interferons. IFN-gamma was produced by macrophages recruited to neonatal skin by UVB-induced ligands to the chemokine receptor Ccr2. Admixed recruited skin macrophages enhanced transplanted melanoma growth by inhibiting apoptosis; notably, IFN-gamma blockade abolished macrophage-enhanced melanoma growth and survival. IFN-gamma-producing macrophages were also identified in 70% of human melanomas examined. Our data reveal an unanticipated role for IFN-gamma in promoting melanocytic cell survival/immunoevasion, identifying a novel candidate therapeutic target for a subset of melanoma patients.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140101/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140101/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zaidi, M Raza -- Davis, Sean -- Noonan, Frances P -- Graff-Cherry, Cari -- Hawley, Teresa S -- Walker, Robert L -- Feigenbaum, Lionel -- Fuchs, Elaine -- Lyakh, Lyudmila -- Young, Howard A -- Hornyak, Thomas J -- Arnheiter, Heinz -- Trinchieri, Giorgio -- Meltzer, Paul S -- De Fabo, Edward C -- Merlino, Glenn -- CA53765/CA/NCI NIH HHS/ -- CA92258/CA/NCI NIH HHS/ -- R01 CA053765-10S1/CA/NCI NIH HHS/ -- R01 CA092258-05/CA/NCI NIH HHS/ -- Intramural NIH HHS/ -- England -- Nature. 2011 Jan 27;469(7331):548-53. doi: 10.1038/nature09666. Epub 2011 Jan 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21248750" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Disease Models, Animal ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Developmental/radiation effects ; Humans ; Interferon-gamma/*metabolism ; Macrophages/metabolism/radiation effects ; Male ; Melanocytes/*metabolism/radiation effects ; Melanoma/*physiopathology ; Mice ; *Ultraviolet Rays
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  • 6
    Publication Date: 2011-03-25
    Description: The most common mutation in human melanoma, BRAF(V600E), activates the serine/threonine kinase BRAF and causes excessive activity in the mitogen-activated protein kinase pathway. BRAF(V600E) mutations are also present in benign melanocytic naevi, highlighting the importance of additional genetic alterations in the genesis of malignant tumours. Such changes include recurrent copy number variations that result in the amplification of oncogenes. For certain amplifications, the large number of genes in the interval has precluded an understanding of the cooperating oncogenic events. Here we have used a zebrafish melanoma model to test genes in a recurrently amplified region of chromosome 1 for the ability to cooperate with BRAF(V600E) and accelerate melanoma. SETDB1, an enzyme that methylates histone H3 on lysine 9 (H3K9), was found to accelerate melanoma formation significantly in zebrafish. Chromatin immunoprecipitation coupled with massively parallel DNA sequencing and gene expression analyses uncovered genes, including HOX genes, that are transcriptionally dysregulated in response to increased levels of SETDB1. Our studies establish SETDB1 as an oncogene in melanoma and underscore the role of chromatin factors in regulating tumorigenesis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3348545/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3348545/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ceol, Craig J -- Houvras, Yariv -- Jane-Valbuena, Judit -- Bilodeau, Steve -- Orlando, David A -- Battisti, Valentine -- Fritsch, Lauriane -- Lin, William M -- Hollmann, Travis J -- Ferre, Fabrizio -- Bourque, Caitlin -- Burke, Christopher J -- Turner, Laura -- Uong, Audrey -- Johnson, Laura A -- Beroukhim, Rameen -- Mermel, Craig H -- Loda, Massimo -- Ait-Si-Ali, Slimane -- Garraway, Levi A -- Young, Richard A -- Zon, Leonard I -- CA103846/CA/NCI NIH HHS/ -- CA146455/CA/NCI NIH HHS/ -- DK055381/DK/NIDDK NIH HHS/ -- HG002668/HG/NHGRI NIH HHS/ -- K08 DK075432/DK/NIDDK NIH HHS/ -- K08 DK075432-04/DK/NIDDK NIH HHS/ -- K08DK075432-04/DK/NIDDK NIH HHS/ -- K99AR056899-02/AR/NIAMS NIH HHS/ -- R00 AR056899/AR/NIAMS NIH HHS/ -- R00 AR056899-02/AR/NIAMS NIH HHS/ -- R01 CA103846/CA/NCI NIH HHS/ -- R01 CA103846-09/CA/NCI NIH HHS/ -- R01 CA146445/CA/NCI NIH HHS/ -- R01 CA146445-03/CA/NCI NIH HHS/ -- R01 HG002668/HG/NHGRI NIH HHS/ -- R01 HG002668-08/HG/NHGRI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- Canadian Institutes of Health Research/Canada -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Mar 24;471(7339):513-7. doi: 10.1038/nature09806.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stem Cell Program and Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21430779" target="_blank"〉PubMed〈/a〉
    Keywords: Age of Onset ; Amino Acid Substitution ; Animals ; Animals, Genetically Modified ; Cell Transformation, Neoplastic/genetics ; Chromatin Immunoprecipitation ; Chromosomes, Human, Pair 1/genetics ; DNA Copy Number Variations/*genetics ; Disease Models, Animal ; Gene Amplification/*genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic/genetics ; Genes, Homeobox/genetics ; Histone-Lysine N-Methyltransferase/*genetics/metabolism ; Humans ; Melanocytes/cytology/enzymology/metabolism/pathology ; Melanoma/enzymology/*genetics/*pathology ; Nevus/enzymology ; Oncogenes/genetics ; Protein Methyltransferases/*genetics/*metabolism ; Proto-Oncogene Proteins B-raf/chemistry/genetics/metabolism ; Zebrafish/genetics
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  • 7
    Publication Date: 2009-11-20
    Description: Molecular regulation of embryonic stem cell (ESC) fate involves a coordinated interaction between epigenetic, transcriptional and translational mechanisms. It is unclear how these different molecular regulatory mechanisms interact to regulate changes in stem cell fate. Here we present a dynamic systems-level study of cell fate change in murine ESCs following a well-defined perturbation. Global changes in histone acetylation, chromatin-bound RNA polymerase II, messenger RNA (mRNA), and nuclear protein levels were measured over 5 days after downregulation of Nanog, a key pluripotency regulator. Our data demonstrate how a single genetic perturbation leads to progressive widespread changes in several molecular regulatory layers, and provide a dynamic view of information flow in the epigenome, transcriptome and proteome. We observe that a large proportion of changes in nuclear protein levels are not accompanied by concordant changes in the expression of corresponding mRNAs, indicating important roles for translational and post-translational regulation of ESC fate. Gene-ontology analysis across different molecular layers indicates that although chromatin reconfiguration is important for altering cell fate, it is preceded by transcription-factor-mediated regulatory events. The temporal order of gene expression alterations shows the order of the regulatory network reconfiguration and offers further insight into the gene regulatory network. Our studies extend the conventional systems biology approach to include many molecular species, regulatory layers and temporal series, and underscore the complexity of the multilayer regulatory mechanisms responsible for changes in protein expression that determine stem cell fate.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199216/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199216/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lu, Rong -- Markowetz, Florian -- Unwin, Richard D -- Leek, Jeffrey T -- Airoldi, Edoardo M -- MacArthur, Ben D -- Lachmann, Alexander -- Rozov, Roye -- Ma'ayan, Avi -- Boyer, Laurie A -- Troyanskaya, Olga G -- Whetton, Anthony D -- Lemischka, Ihor R -- P50 GM071558/GM/NIGMS NIH HHS/ -- P50 GM071558-01A20007/GM/NIGMS NIH HHS/ -- P50 GM071558-020007/GM/NIGMS NIH HHS/ -- P50 GM071558-030007/GM/NIGMS NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2009 Nov 19;462(7271):358-62. doi: 10.1038/nature08575.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA. rlu@stanford.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19924215" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cell Differentiation ; Embryonic Stem Cells/*cytology/*metabolism ; Epigenesis, Genetic ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Mice ; Proteome ; Time Factors
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  • 8
    Publication Date: 2012-07-20
    Description: Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, or 'passenger', cancer mutations from causal, or 'driver', mutations in these data sets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. Here we test the hypothesis that genomic variations and tumour viruses may cause cancer through related mechanisms, by systematically examining host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways, such as Notch signalling and apoptosis, that go awry in cancer. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches increase the specificity of cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate the prioritization of cancer-causing driver genes to advance the understanding of the genetic basis of human cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408847/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408847/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rozenblatt-Rosen, Orit -- Deo, Rahul C -- Padi, Megha -- Adelmant, Guillaume -- Calderwood, Michael A -- Rolland, Thomas -- Grace, Miranda -- Dricot, Amelie -- Askenazi, Manor -- Tavares, Maria -- Pevzner, Samuel J -- Abderazzaq, Fieda -- Byrdsong, Danielle -- Carvunis, Anne-Ruxandra -- Chen, Alyce A -- Cheng, Jingwei -- Correll, Mick -- Duarte, Melissa -- Fan, Changyu -- Feltkamp, Mariet C -- Ficarro, Scott B -- Franchi, Rachel -- Garg, Brijesh K -- Gulbahce, Natali -- Hao, Tong -- Holthaus, Amy M -- James, Robert -- Korkhin, Anna -- Litovchick, Larisa -- Mar, Jessica C -- Pak, Theodore R -- Rabello, Sabrina -- Rubio, Renee -- Shen, Yun -- Singh, Saurav -- Spangle, Jennifer M -- Tasan, Murat -- Wanamaker, Shelly -- Webber, James T -- Roecklein-Canfield, Jennifer -- Johannsen, Eric -- Barabasi, Albert-Laszlo -- Beroukhim, Rameen -- Kieff, Elliott -- Cusick, Michael E -- Hill, David E -- Munger, Karl -- Marto, Jarrod A -- Quackenbush, John -- Roth, Frederick P -- DeCaprio, James A -- Vidal, Marc -- F32 GM095284/GM/NIGMS NIH HHS/ -- F32GM095284/GM/NIGMS NIH HHS/ -- K08 CA122833/CA/NCI NIH HHS/ -- K08 HL098361/HL/NHLBI NIH HHS/ -- K08HL098361/HL/NHLBI NIH HHS/ -- K25 HG006031/HG/NHGRI NIH HHS/ -- K25HG006031/HG/NHGRI NIH HHS/ -- P01 CA050661/CA/NCI NIH HHS/ -- P01CA050661/CA/NCI NIH HHS/ -- P50 HG004233/HG/NHGRI NIH HHS/ -- P50HG004233/HG/NHGRI NIH HHS/ -- R01 CA047006/CA/NCI NIH HHS/ -- R01 CA063113/CA/NCI NIH HHS/ -- R01 CA066980/CA/NCI NIH HHS/ -- R01 CA081135/CA/NCI NIH HHS/ -- R01 CA085180/CA/NCI NIH HHS/ -- R01 CA093804/CA/NCI NIH HHS/ -- R01 CA131354/CA/NCI NIH HHS/ -- R01 HG001715/HG/NHGRI NIH HHS/ -- R01CA047006/CA/NCI NIH HHS/ -- R01CA063113/CA/NCI NIH HHS/ -- R01CA066980/CA/NCI NIH HHS/ -- R01CA081135/CA/NCI NIH HHS/ -- R01CA085180/CA/NCI NIH HHS/ -- R01CA093804/CA/NCI NIH HHS/ -- R01CA131354/CA/NCI NIH HHS/ -- R01HG001715/HG/NHGRI NIH HHS/ -- T32 HL007208/HL/NHLBI NIH HHS/ -- T32HL007208/HL/NHLBI NIH HHS/ -- U01 CA141583/CA/NCI NIH HHS/ -- U01CA141583/CA/NCI NIH HHS/ -- England -- Nature. 2012 Jul 26;487(7408):491-5. doi: 10.1038/nature11288.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genomic Analysis of Network Perturbations Center of Excellence in Genomic Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22810586" target="_blank"〉PubMed〈/a〉
    Keywords: Adenoviridae/genetics/metabolism/pathogenicity ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, Neoplasm/*genetics ; Genome, Human/*genetics ; Herpesvirus 4, Human/genetics/metabolism/pathogenicity ; *Host-Pathogen Interactions/genetics ; Humans ; Neoplasms/*genetics/*metabolism/pathology ; Oncogenic Viruses/genetics/metabolism/*pathogenicity ; Open Reading Frames/genetics ; Papillomaviridae/genetics/metabolism/pathogenicity ; Polyomavirus/genetics/metabolism/pathogenicity ; Receptors, Notch/metabolism ; Signal Transduction ; Two-Hybrid System Techniques ; Viral Proteins/genetics/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2014-06-12
    Description: High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendritic cells spanning several experimental conditions. We find substantial variation between identically stimulated dendritic cells, in both the fraction of cells detectably expressing a given messenger RNA and the transcript's level within expressing cells. Distinct gene modules are characterized by different temporal heterogeneity profiles. In particular, a 'core' module of antiviral genes is expressed very early by a few 'precocious' cells in response to uniform stimulation with a pathogenic component, but is later activated in all cells. By stimulating cells individually in sealed microfluidic chambers, analysing dendritic cells from knockout mice, and modulating secretion and extracellular signalling, we show that this response is coordinated by interferon-mediated paracrine signalling from these precocious cells. Notably, preventing cell-to-cell communication also substantially reduces variability between cells in the expression of an early-induced 'peaked' inflammatory module, suggesting that paracrine signalling additionally represses part of the inflammatory program. Our study highlights the importance of cell-to-cell communication in controlling cellular heterogeneity and reveals general strategies that multicellular populations can use to establish complex dynamic responses.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193940/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193940/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shalek, Alex K -- Satija, Rahul -- Shuga, Joe -- Trombetta, John J -- Gennert, Dave -- Lu, Diana -- Chen, Peilin -- Gertner, Rona S -- Gaublomme, Jellert T -- Yosef, Nir -- Schwartz, Schraga -- Fowler, Brian -- Weaver, Suzanne -- Wang, Jing -- Wang, Xiaohui -- Ding, Ruihua -- Raychowdhury, Raktima -- Friedman, Nir -- Hacohen, Nir -- Park, Hongkun -- May, Andrew P -- Regev, Aviv -- 1F32HD075541-01/HD/NICHD NIH HHS/ -- 1P50HG006193-01/HG/NHGRI NIH HHS/ -- 5DP1OD003893-03/OD/NIH HHS/ -- DP1 CA174427/CA/NCI NIH HHS/ -- DP1OD003958-01/OD/NIH HHS/ -- F32 HD075541/HD/NICHD NIH HHS/ -- P50 HG006193/HG/NHGRI NIH HHS/ -- U54 AI057159/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jun 19;510(7505):363-9. doi: 10.1038/nature13437. Epub 2014 Jun 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Chemistry & Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA [2] Department of Physics, Harvard University, 17 Oxford Street, Cambridge, Massachusetts 02138, USA [3] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [4]. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2]. ; 1] Fluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, California 94080, USA [2]. ; Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. ; Fluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, California 94080, USA. ; 1] Department of Chemistry & Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA [2] Department of Physics, Harvard University, 17 Oxford Street, Cambridge, Massachusetts 02138, USA. ; School of Computer Science and Engineering, Hebrew University, 91904 Jerusalem, Israel. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Center for Immunology and Inflammatory Diseases & Department of Medicine, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA. ; 1] Department of Chemistry & Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA [2] Department of Physics, Harvard University, 17 Oxford Street, Cambridge, Massachusetts 02138, USA [3] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02140, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24919153" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens, Viral/pharmacology ; Base Sequence ; Cell Communication ; Dendritic Cells/drug effects/*immunology ; Gene Expression Profiling ; Gene Expression Regulation/*immunology ; Immunity/*genetics ; Interferon-beta/genetics ; Mice ; Microfluidic Analytical Techniques ; *Paracrine Communication ; Principal Component Analysis ; RNA, Messenger/chemistry/genetics ; Single-Cell Analysis
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2011-09-06
    Description: Evolutionary relationships among the eight major lineages of Mollusca have remained unresolved despite their diversity and importance. Previous investigations of molluscan phylogeny, based primarily on nuclear ribosomal gene sequences or morphological data, have been unsuccessful at elucidating these relationships. Recently, phylogenomic studies using dozens to hundreds of genes have greatly improved our understanding of deep animal relationships. However, limited genomic resources spanning molluscan diversity has prevented use of a phylogenomic approach. Here we use transcriptome and genome data from all major lineages (except Monoplacophora) and recover a well-supported topology for Mollusca. Our results strongly support the Aculifera hypothesis placing Polyplacophora (chitons) in a clade with a monophyletic Aplacophora (worm-like molluscs). Additionally, within Conchifera, a sister-taxon relationship between Gastropoda and Bivalvia is supported. This grouping has received little consideration and contains most (〉95%) molluscan species. Thus we propose the node-based name Pleistomollusca. In light of these results, we examined the evolution of morphological characters and found support for advanced cephalization and shells as possibly having multiple origins within Mollusca.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024475/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024475/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kocot, Kevin M -- Cannon, Johanna T -- Todt, Christiane -- Citarella, Mathew R -- Kohn, Andrea B -- Meyer, Achim -- Santos, Scott R -- Schander, Christoffer -- Moroz, Leonid L -- Lieb, Bernhard -- Halanych, Kenneth M -- 1R01GM097502/GM/NIGMS NIH HHS/ -- 1R01NS06076/NS/NINDS NIH HHS/ -- R01 GM097502/GM/NIGMS NIH HHS/ -- R01 NS039103/NS/NINDS NIH HHS/ -- R21 DA030118/DA/NIDA NIH HHS/ -- R21 RR025699/RR/NCRR NIH HHS/ -- R21DA030118/DA/NIDA NIH HHS/ -- England -- Nature. 2011 Sep 4;477(7365):452-6. doi: 10.1038/nature10382.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Auburn University, 101 Rouse Life Sciences, Auburn, Alabama 36849, USA. kmkocot@auburn.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21892190" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bivalvia/anatomy & histology/classification/genetics ; Expressed Sequence Tags ; Gastropoda/anatomy & histology/classification/genetics ; Gene Expression Profiling ; Genes ; Genome/*genetics ; Genomics ; Models, Biological ; Mollusca/anatomy & histology/*classification/*genetics ; *Phylogeny
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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