APOE genotype is a major predictor of long-term progression of disability in MS.
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Apolipoprotein E4↗
Biomedical subjects
K G Becker
Publications and source records attributed to K G Becker.
Region-specific transcriptional response to chronic nicotine in rat brain.
Even though nicotine has been shown to modulate mRNA expression of a variety of genes, a comprehensive high-throughput study of the effects of nicotine on the tissue-specific gene expression profiles has been lacking in the literature. In this study, cDNA microarrays containing 1117 genes and ESTs were used to assess the transcriptional response to chronic nicotine treatment in rat, based on four brain regions, i.e. prefrontal cortex (PFC), nucleus accumbens (NAs), ventral tegmental area (VTA), and amygdala (AMYG). On the basis of a non-parametric resampling method, an index (called jackknifed reliability index, JRI) was proposed, and employed to determine the inherent measurement error across multiple arrays used in this study. Upon removal of the outliers, the mean correlation coefficient between duplicate measurements increased to 0.978+/-0.0035 from 0.941+/-0.045. Results from principal component analysis and pairwise correlations suggested that brain regions studied were highly similar in terms of their absolute expression levels, but exhibited divergent transcriptional responses to chronic nicotine administration. For example, PFC and NAs were significantly more similar to each other (r=0.7; P<10(-14)) than to either VTA or AMYG. Furthermore, we confirmed our microarray results for two representative genes, i.e. the weak inward rectifier K(+) channel (TWIK-1), and phosphate and tensin homolog (PTEN) by using real-time quantitative RT-PCR technique. Finally, a number of genes, involved in MAPK, phosphatidylinositol, and EGFR signaling pathways, were identified and proposed as possible targets in response to nicotine administration.
Amygdala↗
Antisense DNAs as multisite genomic modulators identified by DNA microarray.
Antisense oligodeoxynucleotides can selectively block disease-causing genes, and cancer genes have been chosen as potential targets for antisense drugs to treat cancer. However, nonspecific side effects have clouded the true antisense mechanism of action and hampered clinical development of antisense therapeutics. Using DNA microarrays, we have conducted a systematic characterization of gene expression in cells exposed to antisense, either exogenously or endogenously. Here, we show that in a sequence-specific manner, antisense targeted to protein kinase A RIalpha alters expression of the clusters of coordinately expressed genes at a specific stage of cell growth, differentiation, and activation. The genes that define the proliferation-transformation signature are down-regulated, whereas those that define the differentiation-reverse transformation signature are up-regulated in antisense-treated cancer cells and tumors, but not in host livers. In this differentiation signature, the genes showing the highest induction include genes for the G proteins Rap1 and Cdc42. The expression signature induced by the exogenously supplied antisense oligodeoxynucleotide overlaps strikingly with that induced by endogenous antisense gene overexpression. Defining antisense DNAs on the basis of their effects on global gene expression can lead to identification of clinically relevant antisense therapeutics and can identify which molecular and cellular events might be important in complex biological processes, such as cell growth and differentiation.
Adenocarcinoma↗
Application of cDNA microarrays to examine gene expression differences in schizophrenia.
Using cDNA microarrays we have investigated gene expression patterns in brain regions of patients with schizophrenia. A cDNA neuroarray, comprised of genes related to brain function, was used to screen pools of samples from the cerebellum and prefrontal cortex from a matched set of subjects, and middle temporal gyrus, from a separate subject cohort. Samples of cerebellum and prefrontal cortex from neuroleptic naive patients were also included. Genes that passed a 3% reproducibility criterion for differential expression in independent experiments included 21 genes for drug-treated patients and 5 genes for drug-naive patients. Of these 26 genes, 10 genes were increased and 16 were decreased. Many of the differentially expressed genes were related to synaptic signaling and proteolytic functions. A smaller number of these genes were also differentially expressed in the middle temporal gyrus. The five genes that were differentially expressed in two brain regions from separate cohorts are: tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, eta polypeptide; sialyltransferase; proteasome subunit, alpha type 1; ubiquitin carboxyl-terminal esterase L1; and solute carrier family 10, member 1. Identification of patterns of changes in gene expression may lead to a better understanding of the pathophysiology of schizophrenia disorders.
Adult↗
Augmentation in expression of activation-induced genes differentiates memory from naive CD4+ T cells and is a molecular mechanism for enhanced cellular response of memory CD4+ T cells.
In an attempt to understand the molecular basis for the immunological memory response, we have used cDNA microarrays to measure gene expression of human memory and naive CD4+ T cells at rest and after activation. Our analysis of 54,768 cDNA clones provides the first glimpse into gene expression patterns of memory and naive CD4+ T cells at the genome-scale and reveals several novel findings. First, memory and naive CD4+ T cells expressed similar numbers of genes at rest and after activation. Second, we have identified 14 cDNA clones that expressed higher levels of transcripts in memory cells than in naive cells. Third, we have identified 135 (130 known genes and 5 expressed sequence tags) up-regulated and 68 (42 known genes and 26 expressed sequence tags) down-regulated cDNA clones in memory CD4+ T after in vitro stimulation with anti-CD3 plus anti-CD28. Interestingly, the increase in mRNA levels of up-regulated genes was greater in memory than in naive CD4+ T cells after in vitro stimulation and was higher with anti-CD3 plus anti-CD28 than with anti-CD3 alone in both memory and naive CD4+ T cells. Finally, the changes in expression of actin and cytokine genes identified by cDNA microarrays were confirmed by Northern and protein analyses. Together, we have identified approximately 200 cDNA clones whose expression levels changed after activation and suggest that the level of expression of up-regulated genes is a molecular mechanism that differentiates the response of memory from naive CD4+ T cells.
Actins↗
Radioactive 33-P probes in hybridization to glass cDNA microarrays using neural tissues.
cDNA microarrays are becoming widespread tools in the study of complex gene expression patterns with applications using cells lines, animal model systems, and human disease. Glass cDNA microarrays using fluorescent labeled cDNA probes require a large amount of input RNA usually not available in many neuroscience applications. Here we demonstrate a technique for the use of 33-P labeled cDNA probes in hybridizations to the same glass cDNA arrays used for fluorescent applications. This approach allows the use of low quantities of RNA, common phosphoimaging scanners, data acquisition software, and standard DNA and RNA labeling protocols, while being consistent and interchangeable with glass-based cDNA array technology.
DNA Probes↗
A murine dopamine neuron-specific cDNA library and microarray: increased COX1 expression during methamphetamine neurotoxicity.
Due to brain tissue heterogeneity, the molecular genetic profile of any neurotransmitter-specific neuronal subtype is unknown. The purpose of this study was to purify a population of dopamine neurons, construct a cDNA library, and generate an initial gene expression profile and a microarray representative of dopamine neuron transcripts. Ventral mesencephalic dopamine neurons were purified by fluorescent-activated cell sorting from embryonic day 13.5 transgenic mice harboring a 4.5-kb rat tyrosine hydroxylase promoter-lacZ fusion. Nine-hundred sixty dopamine neuron cDNA clones were sequenced and arrayed for use in studies of gene expression changes during methamphetamine neurotoxicity. A neurotoxic dose of methamphetamine produced a greater than twofold up-regulation of the mitochondrial cytochrome c oxidase polypeptide I transcript from adult mouse substantia nigra at 12 h posttreatment. This is the first work to describe a gene expression profile for a neuronal subtype and to identify gene expression changes during methamphetamine neurotoxicity.
3,4-Dihydroxyphenylacetic Acid↗
The sharing of cDNA microarray data.
During the initial development of microarrays, much discussion revolved around the technology itself. The discussion has now shifted to data analysis and data sharing. There is great interest in the sharing of cDNA microarray data, but several issues related to format, quality and validation will need to be resolved before microarray data can be meaningfully integrated into other molecular databases.
Animals↗
Underlying disease specificity of genetic loci in atopic dermatitis.
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Chromosome Mapping↗
The common genetic hypothesis of autoimmune/inflammatory disease.
Individual inflammatory and autoimmune diseases are discrete clinical entities. The clinical presentation of any specific inflammatory disease is the culmination of complex interactions between genetics, primary and secondary immune effector mechanisms, and environmental triggers. Although often different in clinical presentation, common cellular and molecular immune pathways have been shown to be intimately involved in the destruction of different target tissues in different disease states, which ultimately defines specific diseases. At the genetic level, comparative genomic analysis of autoimmune and inflammatory disorders suggests shared genetic components for these clinically related diseases. This leads to a common genetic hypothesis which states that, unlike classical mendelian genetic disorders, common autoimmune and inflammatory disorders arise from combinatorial interactions of common non-disease specific loci, disease specific loci, and specific environmental triggers.
Autoimmune Diseases↗
Gene expression profile of herpesvirus-infected T cells obtained using immunomicroarrays: induction of proinflammatory mechanisms.
Herpesvirus infections can frequently lead to acute inflammation, yet the mechanisms regulating this event remain poorly understood. In order to determine some of the immunological mechanisms regulated by human herpesvirus infections, we studied the gene expression profile of lymphocytes infected with human herpesvirus 6 (HHV-6) by using a novel immunomicroarray. Our nylon-based immunomicroarray contained more than 1,150 immune response-related genes and was highly consistent between experiments. Experimentally, we found that independently of the HHV-6 strain used to infect T cells, multiple proinflammatory genes were increased and anti-inflammatory genes were decreased at the mRNA and protein levels. HHV-6 strains A and B increased expression of the genes for interleukin-18 (IL-18), the IL-2 receptor, members of the tumor necrosis factor alpha superfamily receptors, mitogen-activated protein kinase, and Janus kinase signaling proteins. As reported previously, CD4 protein levels were also increased significantly. Specific type 2 cytokines, including IL-10, its receptor, and IL-14, were downregulated by HHV-6 infection and, interestingly, amyloid precursor proteins and type 1 and 2 presenilins. Thus, T cells respond to HHV-6 infection by inducing a type 1 immune response that may play a significant role in the development and progression of diseases associated with HHV-6, including pediatric, hematologic, transplant, and neurologic disorders.
Base Sequence↗
Gene expression profile in early stage of retinoic acid-induced differentiation of human SH-SY5Y neuroblastoma cells.
PURPOSE: The human SH-SY5Y cell line is an established model for retinoic acid (RA)-induced neural differentiation. We employed a broad human 15K microarray (15,000 genes) and focused Neuroarray (1152 genes) to examine changes in gene expression early in the process of differentiation (6 hr), before morphology or growth changes are observed. METHODS: 33 P-labeled CDNA probes prepared from RNA extracts of RA-treated and control cultures were hybridized to array membranes, and levels of expression were quantified and compared. RESULTS: In the 15K array, 19 % of the genes were decreased (0.4 % were named genes and the remainder were expressed sequence tags (ESTs) or unknowns), and 9 % were increased (4.2 % named genes). In the Neuroarray, 3 % were decreased and 8 % were increased. CONCLUSIONS: Summary gene profiles are presented, which include transcription factors, genes associated with cell cycle, cell shape, neurotransmission, intermediary filaments, and others. The prevalence of down-regulated genes in the broad 15K array and up-regulated genes in the neuro-focused array suggests a pattern shift in gene expression associated with differentiation. The predominance of ESTs among the down-regulated genes indicates a great number of as-yet-unidentified genes are repressed in early stage neural differentiation.
Antineoplastic Agents↗
Assembly and use of a broadly applicable neural cDNA microarray.
cDNA microarrays provide an efficient method to analyze gene expression patterns in thousands of genes in parallel. In some cases, large unfocused collections of cDNAs have been used in hybridization studies, in others small logically defined collections of tissue specific arrays have been used. Here we describe the bioinformatic selection of 1152 named human cDNAs specifically designed for neuroscience applications, arrayed on nylon membranes at high density. cDNAs were chosen which represent all the major cellular types of the brain including; neurons, astrocytes, microglia, and oligodendrocytes. Gene families chosen include cell type specific markers, ion-channels, transporters, receptors, and cell adhesion molecules among many others. These arrays were used with region specific samples from human brain to determine MRNA expression profiles for each region. Used with 33p labeled complex probes, this is a low cost, highly sensitive approach for tbc investigator to focus on tissue specific genes of interest where samples of limiting amounts of RNA are used. This selected set of brain-relevant cDNAs should be widely useful in the analysis of gene expression patterns from brain tissues as well as neural cell lines.
Brain↗
Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray.
cDNA microarray technology has been increasingly used to monitor global gene expression patterns in various tissues and cell types. However, applications to mammalian development have been hampered by the lack of appropriate cDNA collections, particularly for early developmental stages. To overcome this problem, a PCR-based cDNA library construction method was used to derive 52,374 expressed sequence tags from pre- and peri-implantation embryos, embryonic day (E) 12.5 female gonad/mesonephros, and newborn ovary. From these cDNA collections, a microarray representing 15,264 unique genes (78% novel and 22% known) was assembled. In initial applications, the divergence of placental and embryonic gene expression profiles was assessed. At stage E12.5 of development, based on triplicate experiments, 720 genes (6.5%) displayed statistically significant differences in expression between placenta and embryo. Among 289 more highly expressed in placenta, 61 placenta-specific genes encoded, for example, a novel prolactin-like protein. The number of genes highly expressed (and frequently specific) for placenta has thereby been increased 5-fold over the total previously reported, illustrating the potential of the microarrays for tissue-specific gene discovery and analysis of mammalian developmental programs.
Amino Acid Sequence↗
BBID: the biological biochemical image database.
The Biological Biochemical Image Database is a WWW accessible relational database of archived images from research articles that describe regulatory pathways of higher eukaryotes. Pathway information is annotated and can be queried in the study of complex gene expression. In this way, complex regulatory pathways can be tested empirically in an efficient manner in the context of large-scale gene-expression systems.
Computer Graphics↗
Gene discovery using computational and microarray analysis of transcription in the Drosophila melanogaster testis.
Identification and annotation of all the genes in the sequenced Drosophila genome is a work in progress. Wild-type testis function requires many genes and is thus of potentially high value for the identification of transcription units. We therefore undertook a survey of the repertoire of genes expressed in the Drosophila testis by computational and microarray analysis. We generated 3141 high-quality testis expressed sequence tags (ESTs). Testis ESTs computationally collapsed into 1560 cDNA set used for further analysis. Of those, 11% correspond to named genes, and 33% provide biological evidence for a predicted gene. A surprising 47% fail to align with existing ESTs and 16% with predicted genes in the current genome release. EST frequency and microarray expression profiles indicate that the testis mRNA population is highly complex and shows an extended range of transcript abundance. Furthermore, >80% of the genes expressed in the testis showed onefold overexpression relative to ovaries, or gonadectomized flies. Additionally, >3% showed more than threefold overexpression at p <0.05. Surprisingly, 22% of the genes most highly overexpressed in testis match Drosophila genomic sequence, but not predicted genes. These data strongly support the idea that sequencing additional cDNA libraries from defined tissues, such as testis, will be important tools for refined annotation of the Drosophila genome. Additionally, these data suggest that the number of genes in Drosophila will significantly exceed the conservative estimate of 13,601.
Animals↗
Analysis of gene expression in mutiple sclerosis lesions using cDNA microarrays.
In multiple sclerosis (MS) patients, a coordinated attack of the immune system against the primary constituents of oligodendrocytes and/or the myelin sheath of oligodendrocytes results in the formation of lesions in the brain and spinal cord. Thus far, however, a limited number of genes that potentially contribute to lesion pathology have been identified. Using cDNA microarray technology, we have performed experiments on MS tissue monitoring the expression pattern of over 5,000 genes and compared the gene expression profile of normal white matter with that found in acute lesions from the brain of a single MS patient. Sixty-two differentially expressed genes were identified, including the Duffy chemokine receptor, interferon regulatory factor-2, and tumor necrosis factor alpha receptor-2 among others. Thus, cDNA microarray technology represents a powerful new tool for the identification of genes not previously associated with the MS disease process.
Brain↗
Comparative genetics of type 1 diabetes and autoimmune disease: common loci, common pathways?
Genome-scale analysis in type 1 diabetes has resulted in a number of non-major histocompatibility complex loci of varying levels of statistical significance. In no case has a specific gene been proven to be the source of genetic linkage at any candidate locus. Comparative analysis of the position of loci for type 1 diabetes with candidate loci from other autoimmune/inflammatory diseases shows considerable overlap. This supports a hypothesis that the underlying genetic susceptibility to type 1 diabetes may be shared with other clinically distinct autoimmune diseases such as systemic lupus erythemastosus, multiple sclerosis, and Crohn's Disease.
Autoimmune Diseases↗