Biomedical subjects

Shannon McWeeney

Publications and source records attributed to Shannon McWeeney.

9 recordsLinked to original sources

PubMed2006

An antisense transcript induced by Wnt/beta-catenin signaling decreases E2F4.

Wnt signaling induces the nuclear accumulation of beta-catenin and transcription of specific target genes via the DNA-binding proteins TCF/Lef. Although all known beta-catenin target genes encode proteins, genome-wide RNA profiling studies indicate that many transcripts do not have this capability. Transcription factor-binding sites associated with these noncoding transcripts can be identified using unbiased techniques such as serial analysis of chromatin occupancy (SACO). We used this method to identify a beta-catenin-regulated antisense RNA expressed in HCT116 colorectal carcinoma cells, a cellular model of activated beta-catenin signaling. Genomic signature tags designating putative beta-catenin-binding sites mapped to the 3'-untranslated region (3'-UTR) of the E2F4 gene. We showed that both beta-catenin and TCF4 bind to the E2F4 3'-UTR site in vivo, inducing expression of an E2F4 antisense transcript. LiCl, which mimics Wnt signaling, also induced expression of the E2F4 antisense transcript and decreased E2F4 protein levels. This effect was blocked by a cDNA expressing the E2F4 3'-UTR sense strand. The antisense-mediated decrease in E2F4 protein was reflected by reduced E2F4 association with specific target genes, including CCNA2, CDC2, PCNA, and Rad54. We propose that Wnt/beta-catenin signaling may contribute to colorectal carcinogenesis by reducing the level of the E2F4 cell cycle repressor via an antisense mechanism.

Antisense Elements (Genetics)↗

PubMed2006

DNA microarray and proteomic strategies for understanding alcohol action.

This article summarizes the proceedings of a symposium presented at the 2005 annual meeting of the Research Society on Alcoholism in Santa Barbara, California. The organizer was James M. Sikela, and he and Michael F. Miles were chairs. The presentations were (1) Genomewide Surveys of Gene Copy Number Variation in Human and Mouse: Implications for the Genetics of Alcohol Action, by James M. Sikela; (2) Regional Differences in the Regulation of Brain Gene Expression: Relevance to the Detection of Genes Associated with Alcohol-Related Traits, by Robert Hitzemann; (3) Identification of Ethanol Quantitative Trait Loci Candidate Genes by Expression Profiling in Inbred Long Sleep/Inbred Short Sleep Congenic Mice, by Robnet T. Kerns; and (4) Quantitative Proteomic Analysis of AC7-Modified Mice, by Kathleen J. Grant.

Alcoholism↗

PubMed2005

Mapping cellular transcriptosomes in autopsied Alzheimer's disease subjects and relevant animal models.

Alzheimer's disease (AD) is a late-onset and progressive neurodegenerative disorder characterized clinically by memory loss, impairment of other cognitive functions, and changes in behavior and personality. The overall aim of this review is to summarize recent advances in studies of AD progression and the use of animal models in gene expression studies of AD progression. Genetic causes of AD are known only for early-onset AD patients. For a majority of late-onset AD patients, causal factors are still unknown. Currently, there are no early detectable biomarkers for late-onset AD, and there is a lack of understanding of AD pathophysiology, particularly at the early stages of disease progression, before pathology develops. Human histopathological and biochemical studies provide valuable information regarding the last stages of AD pathogenesis. However, to understand early cellular changes in AD progression before symptoms develop, animal models are still our only alternative. Several research groups have created genetically engineered animal models, particularly models of the mouse, rat, fly, and worm, which have allowed us to better, understand the initiating events of AD progression. Recently, state-of-the-art methods have helped elucidate gene expression changes in affected and unaffected tissues from postmortem AD brains and from animal models developed for AD studies. These methods allow the investigation of mRNA-based transcriptosomal profiles of brain specimens from AD humans and transgenic animals. The major finding from these studies is that AD progression and pathogenesis involve multiple cellular pathways, which suggests that AD is a complex and heterogeneous disease.

Alzheimer Disease↗

PubMed2005

Deoxyribonucleic acid microarray analysis of gene expression pattern in the arcuate nucleus/ventromedial nucleus of hypothalamus during lactation.

Lactation is characterized by extreme hyperphagia and negative energy balance resulting from a large energy drain due to milk production and by a suppression of cyclic ovarian function. Increases in neuropeptide Y and agouti-related protein and a decrease in proopiomelanocortin expression in the arcuate nucleus of hypothalamus (ARH) may contribute to the hyperphagia to maintain energy balance and to the suppression of LH secretion associated with lactation. However, little is known about the full extent of neuroendocrine changes in the ARH that may contribute to the various adaptations occurring during lactation. To address this issue, we used Affymetrix microarray to acquire a reliable profile of the lactation-induced transcriptional changes in micropunches containing the ARH and a portion of the ventromedial nucleus of the hypothalamus. Using high stringency criteria, 12 genes were identified as being differentially regulated during lactation, and an additional 10 genes and three transcribed sequences were identified using moderate stringency criteria. Changes in neuropeptide Y, enkephalin, tyrosine hydroxylase, and dynorphin, genes previously shown to be differentially regulated during lactation, provide validation for the microarray analysis. New genes identified as being differentially expressed include those related to neurotransmission, growth factors, signal transduction, and structure remodeling. These data identify new genes in ARH/ventromedial nucleus of the hypothalamus that may play an important role in the adaptations of lactation related to hyperphagia, milk production, and the suppression of cyclic reproductive function and may contribute to elucidating a framework for integrating changes in energy intake with the regulation of reproductive function during lactation.

Animals↗

PubMed2005

High-sensitivity detection of BCR-ABL kinase domain mutations in imatinib-naive patients: correlation with clonal cytogenetic evolution but not response to therapy.

Mutations in the kinase domain (KD) of BCR-ABL are the leading cause of acquired imatinib resistance. In some cases, identical mutations were detected at relapse and in pretherapeutic specimens, consistent with selection of resistant clones in the presence of drug. However, the incidence of KD mutations in imatinibnaive patients, irrespective of response to therapy, is unknown. We studied mutation frequency in 66 patients with chronic myelogenous leukemia (CML), using cDNA sequencing and allele-specific oligonucleotide-polymerase chain reaction (ASO-PCR) assays for 8 common mutations. Thirteen patients were positive by ASO-PCR only, 1 by ASO-PCR and sequencing, and 1 by sequencing only (overall frequency, 22.7%). T315I was most frequent (12% of patients). Eleven of the 14 patients with positive ASO-PCR had follow-up samples available for sequencing. Wild-type sequence was detected in 6 of 11, 2 different mutations in 1 of 11, and identical mutations in 4 of 11 patients, 2 of whom had achieved major cytogenetic response. In multivariate analysis mutation detection was associated with clonal cytogenetic evolution, exposure to 6-Thioguanine, and a low platelet count, but not with response to imatinib, event-free survival, and overall survival. KD mutants present at low levels do not invariably lead to relapse, and additional factors are required to induce a fully drug-resistant phenotype.

Adult↗

PubMed2005

Complex genetics of interactions of alcohol and CNS function and behavior.

This work summarizes the proceedings of a symposium at the 2004 RSA Meeting in Vancouver, Canada. The organizers were R. W. Williams and D. B. Matthews; the Chair was M. F. Miles. The presentations were (1) WebQTL: A resource for analysis of gene expression variation and the genetic dissection of alcohol related phenotypes, by E. J. Chesler, (2) The marriage of microarray and qtl analyses: what's to gain, by J. K. Belknap, (3) Use of WebQTL to identify QTLs associated with footshock stress and ethanol related behaviors, by D. B. Matthews, (4) A high throughput strategy for the detection of quantitative trait genes, by R. J. Hitzemann, and (5) The use of gene arrays in conjunction with transgenic and selected animals to understand anxiety in alcoholism, by. B. Tabakoff.

Adenylyl Cyclases↗

PubMed2004

Defining the CREB regulon: a genome-wide analysis of transcription factor regulatory regions.

The CREB transcription factor regulates differentiation, survival, and synaptic plasticity. The complement of CREB targets responsible for these responses has not been identified, however. We developed a novel approach to identify CREB targets, termed serial analysis of chromatin occupancy (SACO), by combining chromatin immunoprecipitation (ChIP) with a modification of SAGE. Using a SACO library derived from rat PC12 cells, we identified approximately 41,000 genomic signature tags (GSTs) that mapped to unique genomic loci. CREB binding was confirmed for all loci supported by multiple GSTs. Of the 6302 loci identified by multiple GSTs, 40% were within 2 kb of the transcriptional start of an annotated gene, 49% were within 1 kb of a CpG island, and 72% were within 1 kb of a putative cAMP-response element (CRE). A large fraction of the SACO loci delineated bidirectional promoters and novel antisense transcripts. This study represents the most comprehensive definition of transcription factor binding sites in a metazoan species.

Animals↗

PubMed2004

Gene expression profiles of transcripts in amyloid precursor protein transgenic mice: up-regulation of mitochondrial metabolism and apoptotic genes is an early cellular change in Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the impairment of cognitive functions and by beta amyloid (Abeta) plaques in the cerebral cortex and the hippocampus. Our objective was to determine genes that are critical for cellular changes in AD progression, with particular emphasis on changes early in disease progression. We investigated an established amyloid precursor protein (APP) transgenic mouse model (the Tg2576 mouse model) for gene expression profiles at three stages of disease progression: long before (2 months of age), immediately before (5 months) and after (18 months) the appearance of Abeta plaques. Using cDNA microarray techniques, we measured mRNA levels in 11 283 cDNA clones from the cerebral cortex of Tg2576 mice and age-matched wild-type (WT) mice at each of the three time points. This gene expression analysis revealed that the genes related to mitochondrial energy metabolism and apoptosis were up-regulated in 2-month-old Tg2576 mice and that the same genes were up-regulated at 5 and 18 months of age. These microarray results were confirmed using northern blot analysis. Results from in situ hybridization of mitochondrial genes-ATPase-6, heat-shock protein 86 and programmed cell death gene 8-suggest that the granule cells of the hippocampal dentate gyrus and the pyramidal neurons in the hippocampus and the cerebral cortex are up-regulated in Tg2576 mice compared with WT mice. Results from double-labeling in situ hybridization suggest that in Tg2576 mice only selective, over-expressed neurons with the mitochondrial gene ATPase-6 undergo oxidative damage. These results, therefore, suggest that mitochondrial energy metabolism is impaired by the expression of mutant APP and/or Abeta, and that the up-regulation of mitochondrial genes is a compensatory response. These findings have important implications for understanding the mechanism of Abeta toxicity in AD and for developing therapeutic strategies for AD.

Adenine↗

PubMed2004

On the integration of alcohol-related quantitative trait loci and gene expression analyses.

BACKGROUND: Quantitative trait loci (QTLs) have been detected for a wide variety of ethanol-related phenotypes, including acute and chronic ethanol withdrawal, acute locomotor activation, and ethanol preference. This study was undertaken to determine whether the process of moving from QTL to quantitative trait gene (QTG) could be accelerated by the integration of functional genomics (gene expression) into the analysis strategy. METHODS: Six ethanol-related QTLs, all detected in C57BL/6J and DBA/2J intercrosses were entered into the analysis. Each of the QTLs had been confirmed in independent genetic models at least once; the cumulative probabilities for QTL existence ranged from 10 to 10. Brain gene expression data for the C57BL/6 and DBA/2 strains (n = 6 per strain) and an F2 intercross sample (n = 56) derived from these strains were obtained by using the Affymetrix U74Av2 and 430A arrays; additional data with the U74Av2 array were available for the extended amygdala, dorsomedial striatum, and hippocampus. Low-level analysis was performed by using multiple methods to determine the likelihood that a transcript was truly differentially expressed. For the 430A array data, the F2 sample was used to determine which of the differentially expressed transcripts within the QTL intervals were cis-regulated and, thus, strong candidates for QTGs. RESULTS: Within the 6 QTL intervals, 39 transcripts (430A array) were identified as being highly likely to be differentially expressed between the C57BL/6 and DBA/2 strains at a false discovery rate of 0.01 or better. Twenty-eight of these transcripts showed significant (logarithm of odds > or =3.6) to highly significant (logarithm of odds >7) cis-regulation. The process correctly detected Mpdz (chromosome 4) as a candidate QTG for acute withdrawal. CONCLUSIONS: Although improvements are needed in the expression databases, the integration of QTL and gene expression analyses seems to have potential as a high-throughput strategy for moving from QTL to QTG.

Alcohol Drinking↗