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  • 1
    Publication Date: 2015-05-13
    Description: Tumor epithelial cells develop within a microenvironment consisting of extracellular matrix, growth factors, and cytokines produced by nonepithelial stromal cells. In response to paracrine signals from tumor epithelia, stromal cells modify the microenvironment to promote tumor growth and metastasis. Here, we identify interleukin 33 (IL-33) as a regulator of tumor...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2016-06-02
    Description: The gene cortex controls mimicry and crypsis in butterflies and moths Nature 534, 7605 (2016). doi:10.1038/nature17961 Authors: Nicola J. Nadeau, Carolina Pardo-Diaz, Annabel Whibley, Megan A. Supple, Suzanne V. Saenko, Richard W. R. Wallbank, Grace C. Wu, Luana Maroja, Laura Ferguson, Joseph J. Hanly, Heather Hines, Camilo Salazar, Richard M. Merrill, Andrea J. Dowling, Richard H. ffrench-Constant, Violaine Llaurens, Mathieu Joron, W. Owen McMillan & Chris D. Jiggins The wing patterns of butterflies and moths (Lepidoptera) are diverse and striking examples of evolutionary diversification by natural selection. Lepidopteran wing colour patterns are a key innovation, consisting of arrays of coloured scales. We still lack a general understanding of how these patterns are controlled and whether this control shows any commonality across the 160,000 moth and 17,000 butterfly species. Here, we use fine-scale mapping with population genomics and gene expression analyses to identify a gene, cortex, that regulates pattern switches in multiple species across the mimetic radiation in Heliconius butterflies. cortex belongs to a fast-evolving subfamily of the otherwise highly conserved fizzy family of cell-cycle regulators, suggesting that it probably regulates pigmentation patterning by regulating scale cell development. In parallel with findings in the peppered moth (Biston betularia), our results suggest that this mechanism is common within Lepidoptera and that cortex has become a major target for natural selection acting on colour and pattern variation in this group of insects.
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 3
    Publication Date: 2004-03-20
    Description: A key question in evolutionary genetics is whether shared genetic mechanisms underlie the independent evolution of similar phenotypes across phylogenetically divergent lineages. Here we show that in two classic examples of melanic plumage polymorphisms in birds, lesser snow geese (Anser c. caerulescens) and arctic skuas (Stercorarius parasiticus), melanism is perfectly associated with variation in the melanocortin-1 receptor (MC1R) gene. In both species, the degree of melanism correlates with the number of copies of variant MC1R alleles. Phylogenetic reconstructions of variant MC1R alleles in geese and skuas show that melanism is a derived trait that evolved in the Pleistocene.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mundy, Nicholas I -- Badcock, Nichola S -- Hart, Tom -- Scribner, Kim -- Janssen, Kirstin -- Nadeau, Nicola J -- New York, N.Y. -- Science. 2004 Mar 19;303(5665):1870-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK. nim21@cam.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15031505" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Arctic Regions ; Biological Evolution ; Birds/anatomy & histology/*genetics/physiology ; Color ; *Feathers ; Female ; Geese/anatomy & histology/genetics/physiology ; Gene Frequency ; Haplotypes ; Male ; Melanins/*analysis ; Melanocytes/metabolism ; Phenotype ; Phylogeny ; Pigmentation/*genetics ; *Quantitative Trait, Heritable ; Receptor, Melanocortin, Type 1/chemistry/*genetics ; *Sexual Behavior, Animal
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2001-02-22
    Description: A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp DNA sequence was generated over 9 months from 27,271,853 high-quality sequence reads (5.11-fold coverage of the genome) from both ends of plasmid clones made from the DNA of five individuals. Two assembly strategies-a whole-genome assembly and a regional chromosome assembly-were used, each combining sequence data from Celera and the publicly funded genome effort. The public data were shredded into 550-bp segments to create a 2.9-fold coverage of those genome regions that had been sequenced, without including biases inherent in the cloning and assembly procedure used by the publicly funded group. This brought the effective coverage in the assemblies to eightfold, reducing the number and size of gaps in the final assembly over what would be obtained with 5.11-fold coverage. The two assembly strategies yielded very similar results that largely agree with independent mapping data. The assemblies effectively cover the euchromatic regions of the human chromosomes. More than 90% of the genome is in scaffold assemblies of 100,000 bp or more, and 25% of the genome is in scaffolds of 10 million bp or larger. Analysis of the genome sequence revealed 26,588 protein-encoding transcripts for which there was strong corroborating evidence and an additional approximately 12,000 computationally derived genes with mouse matches or other weak supporting evidence. Although gene-dense clusters are obvious, almost half the genes are dispersed in low G+C sequence separated by large tracts of apparently noncoding sequence. Only 1.1% of the genome is spanned by exons, whereas 24% is in introns, with 75% of the genome being intergenic DNA. Duplications of segmental blocks, ranging in size up to chromosomal lengths, are abundant throughout the genome and reveal a complex evolutionary history. Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems. DNA sequence comparisons between the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nucleotide polymorphisms (SNPs). A random pair of human haploid genomes differed at a rate of 1 bp per 1250 on average, but there was marked heterogeneity in the level of polymorphism across the genome. Less than 1% of all SNPs resulted in variation in proteins, but the task of determining which SNPs have functional consequences remains an open challenge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Venter, J C -- Adams, M D -- Myers, E W -- Li, P W -- Mural, R J -- Sutton, G G -- Smith, H O -- Yandell, M -- Evans, C A -- Holt, R A -- Gocayne, J D -- Amanatides, P -- Ballew, R M -- Huson, D H -- Wortman, J R -- Zhang, Q -- Kodira, C D -- Zheng, X H -- Chen, L -- Skupski, M -- Subramanian, G -- Thomas, P D -- Zhang, J -- Gabor Miklos, G L -- Nelson, C -- Broder, S -- Clark, A G -- Nadeau, J -- McKusick, V A -- Zinder, N -- Levine, A J -- Roberts, R J -- Simon, M -- Slayman, C -- Hunkapiller, M -- Bolanos, R -- Delcher, A -- Dew, I -- Fasulo, D -- Flanigan, M -- Florea, L -- Halpern, A -- Hannenhalli, S -- Kravitz, S -- Levy, S -- Mobarry, C -- Reinert, K -- Remington, K -- Abu-Threideh, J -- Beasley, E -- Biddick, K -- Bonazzi, V -- Brandon, R -- Cargill, M -- Chandramouliswaran, I -- Charlab, R -- Chaturvedi, K -- Deng, Z -- Di Francesco, V -- Dunn, P -- Eilbeck, K -- Evangelista, C -- Gabrielian, A E -- Gan, W -- Ge, W -- Gong, F -- Gu, Z -- Guan, P -- Heiman, T J -- Higgins, M E -- Ji, R R -- Ke, Z -- Ketchum, K A -- Lai, Z -- Lei, Y -- Li, Z -- Li, J -- Liang, Y -- Lin, X -- Lu, F -- Merkulov, G V -- Milshina, N -- Moore, H M -- Naik, A K -- Narayan, V A -- Neelam, B -- Nusskern, D -- Rusch, D B -- Salzberg, S -- Shao, W -- Shue, B -- Sun, J -- Wang, Z -- Wang, A -- Wang, X -- Wang, J -- Wei, M -- Wides, R -- Xiao, C -- Yan, C -- Yao, A -- Ye, J -- Zhan, M -- Zhang, W -- Zhang, H -- Zhao, Q -- Zheng, L -- Zhong, F -- Zhong, W -- Zhu, S -- Zhao, S -- Gilbert, D -- Baumhueter, S -- Spier, G -- Carter, C -- Cravchik, A -- Woodage, T -- Ali, F -- An, H -- Awe, A -- Baldwin, D -- Baden, H -- Barnstead, M -- Barrow, I -- Beeson, K -- Busam, D -- Carver, A -- Center, A -- Cheng, M L -- Curry, L -- Danaher, S -- Davenport, L -- Desilets, R -- Dietz, S -- Dodson, K -- Doup, L -- Ferriera, S -- Garg, N -- Gluecksmann, A -- Hart, B -- Haynes, J -- Haynes, C -- Heiner, C -- Hladun, S -- Hostin, D -- Houck, J -- Howland, T -- Ibegwam, C -- Johnson, J -- Kalush, F -- Kline, L -- Koduru, S -- Love, A -- Mann, F -- May, D -- McCawley, S -- McIntosh, T -- McMullen, I -- Moy, M -- Moy, L -- Murphy, B -- Nelson, K -- Pfannkoch, C -- Pratts, E -- Puri, V -- Qureshi, H -- Reardon, M -- Rodriguez, R -- Rogers, Y H -- Romblad, D -- Ruhfel, B -- Scott, R -- Sitter, C -- Smallwood, M -- Stewart, E -- Strong, R -- Suh, E -- Thomas, R -- Tint, N N -- Tse, S -- Vech, C -- Wang, G -- Wetter, J -- Williams, S -- Williams, M -- Windsor, S -- Winn-Deen, E -- Wolfe, K -- Zaveri, J -- Zaveri, K -- Abril, J F -- Guigo, R -- Campbell, M J -- Sjolander, K V -- Karlak, B -- Kejariwal, A -- Mi, H -- Lazareva, B -- Hatton, T -- Narechania, A -- Diemer, K -- Muruganujan, A -- Guo, N -- Sato, S -- Bafna, V -- Istrail, S -- Lippert, R -- Schwartz, R -- Walenz, B -- Yooseph, S -- Allen, D -- Basu, A -- Baxendale, J -- Blick, L -- Caminha, M -- Carnes-Stine, J -- Caulk, P -- Chiang, Y H -- Coyne, M -- Dahlke, C -- Mays, A -- Dombroski, M -- Donnelly, M -- Ely, D -- Esparham, S -- Fosler, C -- Gire, H -- Glanowski, S -- Glasser, K -- Glodek, A -- Gorokhov, M -- Graham, K -- Gropman, B -- Harris, M -- Heil, J -- Henderson, S -- Hoover, J -- Jennings, D -- Jordan, C -- Jordan, J -- Kasha, J -- Kagan, L -- Kraft, C -- Levitsky, A -- Lewis, M -- Liu, X -- Lopez, J -- Ma, D -- Majoros, W -- McDaniel, J -- Murphy, S -- Newman, M -- Nguyen, T -- Nguyen, N -- Nodell, M -- Pan, S -- Peck, J -- Peterson, M -- Rowe, W -- Sanders, R -- Scott, J -- Simpson, M -- Smith, T -- Sprague, A -- Stockwell, T -- Turner, R -- Venter, E -- Wang, M -- Wen, M -- Wu, D -- Wu, M -- Xia, A -- Zandieh, A -- Zhu, X -- New York, N.Y. -- Science. 2001 Feb 16;291(5507):1304-51.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. humangenome@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11181995" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Chromosome Banding ; Chromosome Mapping ; Chromosomes, Artificial, Bacterial ; Computational Biology ; Consensus Sequence ; CpG Islands ; DNA, Intergenic ; Databases, Factual ; Evolution, Molecular ; Exons ; Female ; Gene Duplication ; Genes ; Genetic Variation ; *Genome, Human ; *Human Genome Project ; Humans ; Introns ; Male ; Phenotype ; Physical Chromosome Mapping ; Polymorphism, Single Nucleotide ; Proteins/genetics/physiology ; Pseudogenes ; Repetitive Sequences, Nucleic Acid ; Retroelements ; *Sequence Analysis, DNA/methods ; Species Specificity
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2002-06-01
    Description: The high degree of similarity between the mouse and human genomes is demonstrated through analysis of the sequence of mouse chromosome 16 (Mmu 16), which was obtained as part of a whole-genome shotgun assembly of the mouse genome. The mouse genome is about 10% smaller than the human genome, owing to a lower repetitive DNA content. Comparison of the structure and protein-coding potential of Mmu 16 with that of the homologous segments of the human genome identifies regions of conserved synteny with human chromosomes (Hsa) 3, 8, 12, 16, 21, and 22. Gene content and order are highly conserved between Mmu 16 and the syntenic blocks of the human genome. Of the 731 predicted genes on Mmu 16, 509 align with orthologs on the corresponding portions of the human genome, 44 are likely paralogous to these genes, and 164 genes have homologs elsewhere in the human genome; there are 14 genes for which we could find no human counterpart.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mural, Richard J -- Adams, Mark D -- Myers, Eugene W -- Smith, Hamilton O -- Miklos, George L Gabor -- Wides, Ron -- Halpern, Aaron -- Li, Peter W -- Sutton, Granger G -- Nadeau, Joe -- Salzberg, Steven L -- Holt, Robert A -- Kodira, Chinnappa D -- Lu, Fu -- Chen, Lin -- Deng, Zuoming -- Evangelista, Carlos C -- Gan, Weiniu -- Heiman, Thomas J -- Li, Jiayin -- Li, Zhenya -- Merkulov, Gennady V -- Milshina, Natalia V -- Naik, Ashwinikumar K -- Qi, Rong -- Shue, Bixiong Chris -- Wang, Aihui -- Wang, Jian -- Wang, Xin -- Yan, Xianghe -- Ye, Jane -- Yooseph, Shibu -- Zhao, Qi -- Zheng, Liansheng -- Zhu, Shiaoping C -- Biddick, Kendra -- Bolanos, Randall -- Delcher, Arthur L -- Dew, Ian M -- Fasulo, Daniel -- Flanigan, Michael J -- Huson, Daniel H -- Kravitz, Saul A -- Miller, Jason R -- Mobarry, Clark M -- Reinert, Knut -- Remington, Karin A -- Zhang, Qing -- Zheng, Xiangqun H -- Nusskern, Deborah R -- Lai, Zhongwu -- Lei, Yiding -- Zhong, Wenyan -- Yao, Alison -- Guan, Ping -- Ji, Rui-Ru -- Gu, Zhiping -- Wang, Zhen-Yuan -- Zhong, Fei -- Xiao, Chunlin -- Chiang, Chia-Chien -- Yandell, Mark -- Wortman, Jennifer R -- Amanatides, Peter G -- Hladun, Suzanne L -- Pratts, Eric C -- Johnson, Jeffery E -- Dodson, Kristina L -- Woodford, Kerry J -- Evans, Cheryl A -- Gropman, Barry -- Rusch, Douglas B -- Venter, Eli -- Wang, Mei -- Smith, Thomas J -- Houck, Jarrett T -- Tompkins, Donald E -- Haynes, Charles -- Jacob, Debbie -- Chin, Soo H -- Allen, David R -- Dahlke, Carl E -- Sanders, Robert -- Li, Kelvin -- Liu, Xiangjun -- Levitsky, Alexander A -- Majoros, William H -- Chen, Quan -- Xia, Ashley C -- Lopez, John R -- Donnelly, Michael T -- Newman, Matthew H -- Glodek, Anna -- Kraft, Cheryl L -- Nodell, Marc -- Ali, Feroze -- An, Hui-Jin -- Baldwin-Pitts, Danita -- Beeson, Karen Y -- Cai, Shuang -- Carnes, Mark -- Carver, Amy -- Caulk, Parris M -- Center, Angela -- Chen, Yen-Hui -- Cheng, Ming-Lai -- Coyne, My D -- Crowder, Michelle -- Danaher, Steven -- Davenport, Lionel B -- Desilets, Raymond -- Dietz, Susanne M -- Doup, Lisa -- Dullaghan, Patrick -- Ferriera, Steven -- Fosler, Carl R -- Gire, Harold C -- Gluecksmann, Andres -- Gocayne, Jeannine D -- Gray, Jonathan -- Hart, Brit -- Haynes, Jason -- Hoover, Jeffery -- Howland, Tim -- Ibegwam, Chinyere -- Jalali, Mena -- Johns, David -- Kline, Leslie -- Ma, Daniel S -- MacCawley, Steven -- Magoon, Anand -- Mann, Felecia -- May, David -- McIntosh, Tina C -- Mehta, Somil -- Moy, Linda -- Moy, Mee C -- Murphy, Brian J -- Murphy, Sean D -- Nelson, Keith A -- Nuri, Zubeda -- Parker, Kimberly A -- Prudhomme, Alexandre C -- Puri, Vinita N -- Qureshi, Hina -- Raley, John C -- Reardon, Matthew S -- Regier, Megan A -- Rogers, Yu-Hui C -- Romblad, Deanna L -- Schutz, Jakob -- Scott, John L -- Scott, Richard -- Sitter, Cynthia D -- Smallwood, Michella -- Sprague, Arlan C -- Stewart, Erin -- Strong, Renee V -- Suh, Ellen -- Sylvester, Karena -- Thomas, Reginald -- Tint, Ni Ni -- Tsonis, Christopher -- Wang, Gary -- Wang, George -- Williams, Monica S -- Williams, Sherita M -- Windsor, Sandra M -- Wolfe, Keriellen -- Wu, Mitchell M -- Zaveri, Jayshree -- Chaturvedi, Kabir -- Gabrielian, Andrei E -- Ke, Zhaoxi -- Sun, Jingtao -- Subramanian, Gangadharan -- Venter, J Craig -- Pfannkoch, Cynthia M -- Barnstead, Mary -- Stephenson, Lisa D -- New York, N.Y. -- Science. 2002 May 31;296(5573):1661-71.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. richard.mural@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12040188" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Composition ; Chromosomes/*genetics ; Chromosomes, Human/genetics ; Computational Biology ; Conserved Sequence ; Databases, Nucleic Acid ; Evolution, Molecular ; Genes ; Genetic Markers ; *Genome ; *Genome, Human ; Genomics ; Humans ; Mice ; Mice, Inbred A/genetics ; Mice, Inbred DBA/genetics ; Mice, Inbred Strains/*genetics ; Molecular Sequence Data ; Physical Chromosome Mapping ; Proteins/chemistry/genetics ; Sequence Alignment ; *Sequence Analysis, DNA ; Species Specificity ; *Synteny
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    ISSN: 0888-7543
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 0888-7543
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1432-1777
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract We recently proposed a new PCR-based genetic marker assay for the mouse genome that exploits sequence differences in the 3′-untranslated region (UTR) of cDNAs between different mouse strains, called “biallelic polymorphic expressed sequence tags (bESTs).” The specific use of 3′-UTR has several advantages: (1) frequent sequence polymorphism between different mouse strains, (2) most commonly uninterrupted by introns, (3) usually unique sequence even among closely related gene family members. In this paper, we identify additional genetic loci defined by bEST and determine their location on the mouse genetic map by using interspecific backross mapping panels between C57BL/6J and Mus spretus. Of 136 markers tested, 86 produced unique PCR products from C57BL/6J and M. spretus genomic DNAs. We then sequenced these 86 PCR products from C57BL/6J and M. spretus and found that 59 markers have sequence polymorphisms. Of these, we mapped 36 by restriction fragment length polymorphism (RFLP) of the PCR products and 4 by length polymorphism (LP) of the PCR products. We discuss the possibility of a large-scale application of this method for cDNA mapping.
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1432-1777
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract We established two mouse interspecific backcross DNA panels, one containing 94 N2 animals from the cross (C57BL/6J × Mus spretus)F1 × C57BL/6J, and another from 94 N2 animals from the reciprocal backcross (C57BL/6J × SPRET/Ei)F1 × SPRET/Ei. We prepared large quantities of DNA from most tissues of each animal to create a community resource of interspecific backcross DNA for use by laboratories interested in mapping loci in the mouse. Initial characterization of the genetic maps of both panels has been completed. We used MIT SSLP markers, proviral loci, and several other sequence-defined genes to anchor our maps to other published maps. The BSB panel map (from the backcross to C57BL/6J) contains 215 loci and is anchored by 45 SSLP and 32 gene sequence loci. The BSS panel map (from the backcross to SPRET/Ei) contains 451 loci and is anchored by 49 SSLP loci, 43 proviral loci, and 60 gene sequence loci. To obtain a high density of markers, we used motif-primed PCR to “fingerprint” the panel DNAs. We constructed two maps, each representing one of the two panels. All new loci can be located with a high degree of certainty on the maps at current marker density. Segregation patterns in these data reveal several examples of transmission ratio distortion and permit analysis of the distribution of crossovers on individual chromosomes.
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  • 10
    ISSN: 1432-1777
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract The melanocortin peptides regulate a wide variety of physiological processes, including pigmentation and glucocorticoid production, and also have several activities in the central and peripheral nervous systems. The melanocortin receptor family includes the melanocytestimulating hormone receptor (MSH-R), adrenocorticotropic hormone receptor (ACTH-R), and two neural receptors, MC3-R and MC4-R. In the human these receptors map to 16q24 (MSH-R), 18p11.2 (ACTH-R), 20q13.2 (MC3-R), and 18q22 (MC4-R). The corresponding locations in the mouse are 8, 18, and 2; a variant for mapping MC4-R has not yet been identified. The data reported here also show that the neural MC3 receptor maps close to a disease locus for benign neonatal epilepsy in human and near the El-2 epilepsy susceptibility locus in the mouse.
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