Article

Yang, X., Pratley, R.E., Tokraks, S., Bogardus, C. & Permana, P.A. Microarray profiling of skeletal muscle tissues from equally obese, non-diabetic insulin-sensitive and insulin-resistant Pima Indians. Diabetologia 45, 1584-1593

Lundberg Laboratory for Diabetes Research, Sahlgrenska University Hospital, Göteborg, Sweden.
Diabetologia (Impact Factor: 6.88). 12/2002; 45(11):1584-93. DOI: 10.1007/s00125-002-0905-7
Source: PubMed

ABSTRACT We carried out global transcript profiling to identify differentially expressed skeletal muscle genes in insulin resistance, a major risk factor for Type II (non-insulin-dependent) diabetes mellitus. This approach also complemented the ongoing genomic linkage analyses to identify genes linked to insulin resistance and diabetes in Pima Indians.
We compared gene expression profiles of skeletal muscle tissues from 18 insulin-sensitive versus 17 insulin-resistant equally obese, non-diabetic Pima Indians using oligonucleotide arrays consisting of about 40,600 transcripts of known genes and expressed sequence tags, and analysed the results with the Wilcoxon rank sum test. We verified the mRNA expression of ten differentially (best-ranked) and ten similarly (worst-ranked) genes using quantitative Real Time PCR.
There were 185 differentially expressed transcripts by the rank sum test. The differential expressions of two out of the ten best-ranked genes were confirmed and the similar expressions of all ten worst-ranked genes were reproduced.
Of the 185 differentially expressed transcripts, 20 per cent were true positives and some could generate new hypotheses about the aetiology or pathophysiology of insulin resistance. Furthermore, differentially expressed genes in chromosomal regions with linkage to diabetes and insulin resistance serve as new diabetes susceptibility genes.

0 Followers
 · 
69 Views
  • Source
    • "Microarray technology is a powerful tool for analyzing mRNA abundance in cells or tissues on a genome-wide scale. Microarray-based transcription profiling analysis has been applied to many types of biological inquiry (Spellman et al., 1998; Yang et al., 2002; Oberthuer et al., 2006). Identification of candidate genes is an important inquiry. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Antibody response, an important trait in both agriculture and biomedicine, plays a part in protecting animals from infection. Dissecting molecular basis of antibody response may improve artificial selection for natural disease resistance in livestock and poultry. A number of genetic markers associated with antibody response have been identified in the chicken and mouse by linkage-based association studies, which only define genomic regions by genetic markers but do not pinpoint genes for antibody response. In contrast, global expression profiling has been applied to define the molecular bases of a variety of biological traits through identification of differentially expressed genes (DEGs). Here, we employed Affimetrix GeneChip Chicken Genome Arrays to identify differentially expressed genes for antibody response to sheep red blood cells (SRBC) using chickens challenged with and without SRBC or chickens with high and low anti-SRBC titers. The DEGs include those with known (i.e., MHC class I and IgH genes) or unknown function in antibody response. Classification test of these genes suggested that the response of the chicken to intravenous injection of SRBC involved multiple biological processes, including response to stress or other different stimuli, sugar, carbohydrate or protein binding, and cell or soluble fraction, in addition to antibody response. This preliminary study thus provides an insight into molecular basis of antibody response to SRBC in the chicken. © 2015 Poultry Science Association Inc.
    Poultry Science 07/2015; DOI:10.3382/ps/pev224 · 1.67 Impact Factor
  • Source
    • "Genes differentially expressed were those with an adjusted P-value lower or equal to 0.05. Only data supported by both analyses and with an expression ratio between virus and PBS controls with values higher than 1.5 or lower than 0.66 were used for final results (Yang et al., 2002). "
    [Show abstract] [Hide abstract]
    ABSTRACT: a b s t r a c t The Polydnaviridae is a family of double-stranded DNA viruses that are symbionts of parasitoid wasps. The family is currently divided into two genera, the Ichnovirus (IV) and Bracovirus (BV), which are associated with wasps in the families Ichneumonidae and Braconidae, respectively. IVs and BVs have similar immunosuppressive and developmental effects on parasitized hosts but their encapsidated genomes largely encode different genes. To assess whether IV and BV infection has similar or disparate effects on the transcriptome of shared hosts, we characterized the effects of Hyposoter didymator Ich-novirus (HdIV) and Microplitis demolitor Bracovirus (MdBV) on the fat body and hemocyte transcriptome of Spodoptera frugiperda (Lepidoptera: Noctuidae). Our results indicated that HdIV and MdBV infection alters the abundance of a relatively low proportion of S. frugiperda transcripts at 24 h post-infection. A majority of the transcripts affected by infection also differed between MdBV and HdIV. However, we did identify some host transcripts that were similarly affected by both viruses. A majority of these genes were transcribed in the fat body and most belonged to functional classes with roles in immunity, detoxification, or cell structure. Particularly prominent in this suite of transcripts were genes encoding for predicted motor-related and collagen IV-like proteins. Overall, our data suggest that the broadly similar effects that HdIV and MdBV have on host growth and immunity are not due to these viruses inducing profound changes in host gene expression. Given though that IVs and BVs encode few shared genes, the host transcripts that are similarly affected by HdIV and MdBV could indicate convergence by each virus to target a few processes at the level of transcription that are important for successful parasitism of hosts by H. didymator and M. demolitor.
    Insect biochemistry and molecular biology 03/2011; 41(8). DOI:10.1016/j.ibmb.2011.03.010 · 3.42 Impact Factor
  • Source
    • "Despite differences in the type of Affymetrix Gene Chip (Affymetrix, Santa Clara, California) used, number of probes on the chip, sample size, study design, subject ethnicity, and data analysis, collectively, these studies have shown only modest differences in muscle transcripts between patients who have insulin resistance with or without T2D and healthy control subjects. Thus, in most of these studies, no single gene remained differentially expressed after correction for multiple testing [42] [43] [44] [45]. Nevertheless, these studies have shown similar changes in gene expression pattern that point to abnormalities in mitochondrial oxidative phosphorylation (OXPHOS). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Insulin resistance in skeletal muscle is a major hallmark of type 2 diabetes mellitus (T2D) and obesity that is characterized by impaired insulin-mediated glucose transport and glycogen synthesis and by increased intramyocellular content of lipid metabolites. Several studies have provided evidence for mitochondrial dysfunction in skeletal muscle of type 2 diabetic and prediabetic subjects, primarily due to a lower content of mitochondria (mitochondrial biogenesis) and possibly to a reduced functional capacity per mitochondrion. This article discusses the latest advances in the understanding of the molecular mechanisms underlying insulin resistance in human skeletal muscle in T2D and obesity, with a focus on possible links between insulin resistance and mitochondrial dysfunction.
    Endocrinology & Metabolism Clinics of North America 10/2008; 37(3):713-31, x. DOI:10.1016/j.ecl.2008.06.006 · 2.86 Impact Factor
Show more

Preview

Download
0 Downloads
Available from

Similar Publications