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Dive into the research topics where James M. Sikela is active.

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Featured researches published by James M. Sikela.


Neuron | 1991

Ethanol sensitivity of the GABAA receptor expressed in xenopus oocytes requires 8 amino acids contained in the γ2L subunit

Keith A. Wafford; Donald M. Burnett; Nancy J. Leidenheimer; David R. Burt; Jia Bei Wang; Paulo Kofuji; Thomas V. Dunwiddie; R. Adron Harris; James M. Sikela

Expression of brain mRNA or cRNAs in Xenopus oocytes was used to determine what subunits of the GABAA receptor are required for modulation by barbiturates, benzodiazepines, and ethanol. Mouse brain mRNA was hybridized with antisense oligonucleotides complementary to sequences unique to specific subunits and injected into oocytes. Antisense oligonucleotides to the alpha 1, beta 1, gamma 1, gamma 2S + 2L, gamma 2L, or gamma 3 subunits did not alter GABA action or enhancement by pentobarbital. Action of diazepam was prevented by antisense oligonucleotides to gamma 2S + 2L and reduced by antisense sequences to gamma 2L, but was not affected by the other oligonucleotides. Ethanol enhancement of GABA action was prevented only by antisense oligonucleotides to gamma 2L (which differs from gamma 2S by the addition of 8 amino acids). Expression of either the alpha 1 beta 1 gamma 2S or the alpha 1 beta 1 gamma 2L subunit cRNA combination in oocytes resulted in GABA responses that were enhanced by diazepam or pentobarbital, but only the combination containing the gamma 2L subunit was affected by ethanol.


Nature Reviews Genetics | 2003

The nature and identification of quantitative trait loci: a community’s view

Oduola Abiola; Joe M. Angel; Philip Avner; Alexander A. Bachmanov; John K. Belknap; Beth Bennett; Elizabeth P. Blankenhorn; David A. Blizard; Valerie J. Bolivar; Gudrun A. Brockmann; Kari J. Buck; Jean François Bureau; William L. Casley; Elissa J. Chesler; James M. Cheverud; Gary A. Churchill; Melloni N. Cook; John C. Crabbe; Wim E. Crusio; Ariel Darvasi; Gerald de Haan; Peter Demant; R. W. Doerge; Rosemary W. Elliott; Charles R. Farber; Lorraine Flaherty; Jonathan Flint; Howard K. Gershenfeld; J. P. Gibson; Jing Gu

This white paper by eighty members of the Complex Trait Consortium presents a communitys view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits. Quantitative trait loci (QTLs) can be identified in several ways, but is there a definitive test of whether a candidate locus actually corresponds to a specific QTL?


PLOS Biology | 2004

Lineage-specific gene duplication and loss in human and great ape evolution.

Andrew Fortna; Young Hyo Kim; Erik J. MacLaren; Kriste E Marshall; Gretchen Hahn; Lynne Meltesen; Matthew Brenton; Raquel L. Hink; Sonya Burgers; Tina Hernandez-Boussard; Anis Karimpour-Fard; Deborah H. Glueck; Loris McGavran; Rebecca Berry; Jonathan R. Pollack; James M. Sikela

Given that gene duplication is a major driving force of evolutionary change and the key mechanism underlying the emergence of new genes and biological processes, this study sought to use a novel genome-wide approach to identify genes that have undergone lineage-specific duplications or contractions among several hominoid lineages. Interspecies cDNA array-based comparative genomic hybridization was used to individually compare copy number variation for 39,711 cDNAs, representing 29,619 human genes, across five hominoid species, including human. We identified 1,005 genes, either as isolated genes or in clusters positionally biased toward rearrangement-prone genomic regions, that produced relative hybridization signals unique to one or more of the hominoid lineages. Measured as a function of the evolutionary age of each lineage, genes showing copy number expansions were most pronounced in human (134) and include a number of genes thought to be involved in the structure and function of the brain. This work represents, to our knowledge, the first genome-wide gene-based survey of gene duplication across hominoid species. The genes identified here likely represent a significant majority of the major gene copy number changes that have occurred over the past 15 million years of human and great ape evolution and are likely to underlie some of the key phenotypic characteristics that distinguish these species.


The Journal of Neuroscience | 2005

Ethanol-Responsive Brain Region Expression Networks: Implications for Behavioral Responses to Acute Ethanol in DBA/2J versus C57BL/6J Mice

Robnet T. Kerns; Ajay Ravindranathan; Sajida Hassan; Mary P. Cage; Tim York; James M. Sikela; Robert W. Williams; Michael F. Miles

Activation of the mesolimbic dopamine reward pathway by acute ethanol produces reinforcement and changes in gene expression that appear to be crucial to the molecular basis for adaptive behaviors and addiction. The inbred mouse strains DBA/2J and C57BL/6J exhibit contrasting acute behavioral responses to ethanol. We used oligonucleotide microarrays and bioinformatics methods to characterize patterns of gene expression in three brain regions of the mesolimbic reward pathway of these strains. Expression profiling included examination of both differences in gene expression 4 h after saline injection or acute ethanol (2 g/kg). Using a rigorous stepwise method for microarray analysis, we identified 788 genes differentially expressed in control DBA/2J versus C57BL/6J mice and 307 ethanol-regulated genes in the nucleus accumbens, prefrontal cortex, and ventral tegmental area. There were strikingly divergent patterns of ethanol-responsive gene expression in the two strains. Ethanol-responsive genes also showed clustering at discrete chromosomal regions, suggesting local chromatin effects in regulation. Ethanol-regulated genes were generally related to neuroplasticity, but regulation of discrete functional groups and pathways was brain region specific: glucocorticoid signaling, neurogenesis, and myelination in the prefrontal cortex; neuropeptide signaling and developmental genes, including factor Bdnf, in the nucleus accumbens; and retinoic acid signaling in the ventral tegmental area. Bioinformatics analysis identified several potential candidate genes for quantitative trait loci linked to ethanol behaviors, further supporting a role for expression profiling in identifying genes for complex traits. Brain region-specific changes in signaling and neuronal plasticity may be critical components in development of lasting ethanol behavioral phenotypes such as dependence, sensitization, and craving.


Nature | 2014

Gibbon genome and the fast karyotype evolution of small apes.

Lucia Carbone; R. Alan Harris; Sante Gnerre; Krishna R. Veeramah; Belen Lorente-Galdos; John Huddleston; Thomas J. Meyer; Javier Herrero; Christian Roos; Bronwen Aken; Fabio Anaclerio; Nicoletta Archidiacono; Carl Baker; Daniel Barrell; Mark A. Batzer; Kathryn Beal; Antoine Blancher; Craig Bohrson; Markus Brameier; Michael S. Campbell; Claudio Casola; Giorgia Chiatante; Andrew Cree; Annette Damert; Pieter J. de Jong; Laura Dumas; Marcos Fernandez-Callejo; Paul Flicek; Nina V. Fuchs; Ivo Gut

Gibbons are small arboreal apes that display an accelerated rate of evolutionary chromosomal rearrangement and occupy a key node in the primate phylogeny between Old World monkeys and great apes. Here we present the assembly and analysis of a northern white-cheeked gibbon (Nomascus leucogenys) genome. We describe the propensity for a gibbon-specific retrotransposon (LAVA) to insert into chromosome segregation genes and alter transcription by providing a premature termination site, suggesting a possible molecular mechanism for the genome plasticity of the gibbon lineage. We further show that the gibbon genera (Nomascus, Hylobates, Hoolock and Symphalangus) experienced a near-instantaneous radiation ∼5 million years ago, coincident with major geographical changes in southeast Asia that caused cycles of habitat compression and expansion. Finally, we identify signatures of positive selection in genes important for forelimb development (TBX5) and connective tissues (COL1A1) that may have been involved in the adaptation of gibbons to their arboreal habitat.


Journal of Neurochemistry | 1991

Chronic Ethanol Treatment Alters Brain Levels of γ-Aminobutyric AcidA Receptor Subunit mRNAs: Relationship to Genetic Differences in Ethanol Withdrawal Seizure Severity

Kari J. Buck; Lisa Hahner; James M. Sikela; R. Adron Harris

Chronic ethanol treatment is known to alter the function of the γ‐aminobutyric acidA (GABAA) benzodiazepine receptor complex. To determine if genetic differences in development of ethanol dependence are related to expression of GABAA receptor subunits, we measured whole brain levels of mRNA for the α1α3, α6, γ2s, γ2t, and γ3 receptor subunits in withdrawal seizure‐prone and ‐resistant (WSP and WSR, respectively) mice fed an ethanol‐containing liquid diet or a control diet Brain poly(A)+ RNA was converted to cDNA and amplified by the polymerase chain reaction using primers conserved among GABAA receptor subunits. Quantification was carried out by densitometric analysis of Southern blots generated using subunit‐specific probes. Chronic ethanol treatment decreased the content of α1, mRNA in WSP but not WSR mice and decreased the content of α6 mRNA in WSR but not WSP mice. The content of γ3 mRNA was increased by chronic ethanol in both lines. In untreated mice, the WSP line had lower levels of α3 and α6 mRNA than the WSR line. Thus, a decrease in the content of α1 mRNA is most clearly linked with development of withdrawal signs, although the amounts of α6 and α3 may also be important in the genetic differences between WSP and WSR mice. In contrast, levels of mRNA for γ2S and γ2L subunits do not appear to be altered in ethanol dependence.


Nature Reviews Genetics | 2012

Evolution of genetic and genomic features unique to the human lineage

Majesta O'Bleness; Veronica B. Searles; Ajit Varki; Pascal Gagneux; James M. Sikela

Given the unprecedented tools that are now available for rapidly comparing genomes, the identification and study of genetic and genomic changes that are unique to our species have accelerated, and we are entering a golden age of human evolutionary genomics. Here we provide an overview of these efforts, highlighting important recent discoveries, examples of the different types of human-specific genomic and genetic changes identified, and salient trends, such as the localization of evolutionary adaptive changes to complex loci that are highly enriched for disease associations. Finally, we discuss the remaining challenges, such as the incomplete nature of current genome sequence assemblies and difficulties in linking human-specific genomic changes to human-specific phenotypic traits.


Genomics | 1992

A radiation hybrid map of 18 growth factor, growth factor receptor, hormone receptor, or neurotransmitter receptor genes on the distal region of the long arm of chromosome 5.

J.A. Warrington; S.K. Bailey; Elina Armstrong; Olga Aprelikova; Kari Alitalo; G.M. Dolganov; A.S. Wilcox; James M. Sikela; S.F. Wolfe; M. Lovett; John J. Wasmuth

The distal portion of the long arm of human chromosome 5 contains an impressive number of genes encoding growth factors, growth factor receptors, and hormone/neurotransmitter receptors. The order of and relative distance between 18 of these genes was determined by radiation hybrid mapping. There is only a single gap in a contiguous radiation map from 5q22-5q35. For this set of radiation hybrids, one map unit (centiray) corresponds to 20-50 kb of DNA. Close physical proximity for several pairs of loci was predicted by the map. Two sets of these were found to be contained in single YAC clones. The physical map produced by radiation hybrid mapping should prove useful in efforts to identify four disease genes that have been assigned to distal 5q by linkage studies.


Mammalian Genome | 2003

A strategy for the integration of QTL, gene expression, and sequence analyses.

Robert Hitzemann; Barry Malmanger; Cheryl Reed; Maureen Lawler; Barbara Hitzemann; Shannon Coulombe; Kari J. Buck; Brooks L. S. Rademacher; Nicole A.R. Walter; Yekatrina Polyakov; James M. Sikela; Brenda Gensler; Sonya Burgers; Robert W. Williams; Ken Manly; Jonathan Flint; Christopher J. Talbot

Although hundreds if not thousands of quantitative trait loci (QTL) have been described for a wide variety of complex traits, only a very small number of these QTLs have been reduced to quantitative trait genes (QTGs) and quantitative trait nucleotides (QTNs). A strategy, Multiple Cross Mapping (MCM), is described for detecting QTGs and QTNs that is based on leveraging the information contained within the haplotype structure of the mouse genome. As described in the current report, the strategy utilizes the six F2 intercrosses that can be formed from the C57BL/6J (B6), DBA/2J (D2), BALB/cJ (C), and LP/J (LP) inbred mouse strains. Focusing on the phenotype of basal locomotor activity, it was found that in all three B6 intercrosses, a QTL was detected on distal Chromosome (Chr) 1; no QTL was detected in the other three intercrosses, and thus, it was assumed that at the QTL, the C, D2, and LP strains had functionally identical alleles. These intercross data were used to form a simple algorithm for interrogating microsatellite, single nucleotide polymorphism (SNP), brain gene expression, and sequence databases. The results obtained point to Kcnj9 (which has a markedly lower expression in the B6 strain) as being the likely QTG. Further, it is suggested that the lower expression in the B6 strain results from a polymorphism in the 5′-UTR that disrupts the binding of at least three transcription factors. Overall, the method described should be widely applicable to the analysis of QTLs.


Nature Genetics | 1995

Gene-based sequence-tagged-sites (STSs) as the basis for a human gene map.

Rebecca Berry; Tamara J. Stevens; Nicole A.R. Walter; Andrea S. Wilcox; Todd Rubano; Janet Hopkins; James L. Weber; Richard Goold; Marcelo B. Soares; James M. Sikela

Using our data set of 3,143 single pass sequences from human brain cDNA libraries, we have developed a strategy in which gene–based sequence–tagged–sites (STSs), derived from 3′untranslated regions of human cDNAs, are rapidly assigned to megabase–insert yeast artificial chromosomes and somatic cell hybrids to generate regional gene mapping data. Employing this approach, we have mapped 318 cDNAs, representing 308 human genes. Ninety–two of these mapped to regions implicated in human genetic diseases, identifying them as candidate genes. Extension of this strategy has the potential to result in virtually every human gene having, at its 3′ end, its own associated STS, with each STS in turn specifying both a corresponding genomic clone and a specific regional location in the genome.

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Laura Dumas

University of Colorado Denver

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Marissa A. Ehringer

University of Colorado Boulder

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Janet Hopkins

University of Colorado Denver

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William E. Hahn

University of Colorado Denver

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A.S. Wilcox

National Institutes of Health

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Beth Bennett

University of Colorado Denver

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Jonathan M. Davis

University of Colorado Denver

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Jonathon Keeney

University of Colorado Denver

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