Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Intra- and Inter-Individual Variance of Gene Expression in Human Placenta

ABSTRACT: Variance in microarray studies has been widely discussed as a critical topic of the identification of differentially expressed gene; however, few studies have addressed the influence of estimating variance. To break intra- and inter-individual variance in clinical studies down to three levels: technical, anatomic, and individual, we designed experiments and algorithms to investigate three forms of variances. As a case study, a group of “inter-individual variable genes” were identified to exemplify the influence of underestimated variance on the statistical and biological aspects in identification of differentially expressed genes. Our results showed that inadequate estimation of variance inevitably led to the inclusion of non-statistically significant genes into those listed as significant, thereby interfering with the correct prediction of biological functions. Applying a higher cutoff value of fold changes in the selection of significant genes reduce/eliminate the effects of underestimated variance. Our data demonstrates that an appropriate evaluation of variance is critical in selecting significant genes of differential expression. If the estimation of precise variance has not been adequately considered in the experimental design, using a higher fold change criteria is one possible solution to overcome the difficulties associated with the identification of significant genes, but it paid by losing the number of selected genes. A total of 11 normal placenta tissues obtained from 9 healthy individuals with term pregnancies, whom underwent cesarean section without labor pain. The first sample group (G1) was composed of samples 1 to 9 of nine individuals. The second sample group (G2) contained 8-1, 8-2 and 8-3, which were three different placental tissues taken from the same individual. The third sample group (G3) consisted of two technical replicates, 8-3_1 and 8-3_2, using the identical RNA pool. Sample 8-3 is estimated by sample 8-3_1 and 8-3_2. Sample 8 is estimated by sample 8-1, 8-2 and 8-3.

ORGANISM(S): Homo sapiens

SUBMITTER: wei-chung cheng

PROVIDER: E-GEOD-27646 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Inferring the heritability of gene expression is one of the main areas of the field of genetical genomics. With the possibility to treat the abundances of gene transcripts as a suite of quantitative traits, genetical genomics can make an extensive use of the microarray technology. Here we extended a major method for estimating the heritability of a quantitative trait, single parent-offspring regression, to assess the heritability of the expression of genes with two-channel microarrays. In a series of maternal parent-offspring pairs of Interior spruce (Picea glauca x engelmannii, our focus in the outer stem tissues is the expression of defense-related genes, the heritability of which can affect fitness and necessary for evolution by natural selection. Parent-offspring pairs of Interior spruce planted as a part of Tree Breeding and Improvement Program of the Forest Genetics Section, British Columbia Ministry of Forests and Range, Prince George, BC, Canada (http://www.for.gov.bc.ca/hre/forgen/interior/spruce.htm#1) were used. A total of 30 trees, comprising 15 parent-offpsring pairs were sampled. These include15 offsprings and 15 maternal parents (grafts), which were planted within ~ 1Km range west (122º 42’ 43’’W, 53º 45’41’’N) of the offsprings, hence grown in a relatively similar environment. The bark and the attached phloem were separated from inner layers in the mid-morning hours of June 25, 2008, flash-frozen in liquid nitrogen, and transferred into separate containers. A chain design was decided for gene expression profiling (a total of 45 slides) using the Treenomix third generation cDNA microarray platform (GEO accession #: GPL5423). Array350 kit (Genisphere, Hatfield, USA) was chosen for the microarray hybridizations. The slides were scanned with a ProScanArray scanner (PerkinElmer, Downers Grove, IL, USA), and the scanned TIF images were processed by ImaGene software (BioDiscovery, Inc., El Segundo, CA, USA) to quantify spot signals. Normalization was done between arrays using variance stabilizing (VSN) method for ratio based analysis of the expression data.

Project description:In this study, we examined the very early transcriptional response of aposymbiotic coral larval host (still not engaged in symbiosis) to hyperthermal stress. This experimental setting provided a scenario and opportunity to study the direct effect of environmental stressors on the host cell per se. Using a cDNA microarray constructed for Acropora millepora and Q-RT-PCR assays, we identified a number of genes that were significantly up- and down-regulated with increase of seawater temperature. Down-regulation of several key component of DNA/RNA metabolism was detected implying inhibition of this cellular metabolic process, however the down-regulation of overall protein synthesis was not simple and random, which suggest that the response to stress is a more complicated adjustment to the metabolic needs of the cell. We identified four significant outcomes during the very early hours of the transcriptional response to hyperthermal stress in coral larvae. First, molecular chaperones responded to hyperthermal stress by increasing their expression as expected, but the response was immediate and extremely rapid during the first 3 hours of heat exposure. Secondly, elevated temperature triggers down-regulation of a fluorescent protein homolog, DsRed-type FP, suggesting that this gene might be used as a potential molecular marker for monitoring hyperthermal stress in nature. Thirdly, the downregulation of a coral mannose-binding lectin under hyperthermal stress might compromise the coral immune defense and bring about susceptibility to pathogenic diseases. And lastly, an absence in the response of oxidative stress genes in aposymbiotic coral larvae during the early hours to hyperthermal stress suggest that the up-regulation of cnidarian host oxidative stress genes reported during thermal stress in algal/host symbiosis might be triggered directly by ROS generated by photosynthetic-dysfunctionally algal endosymbionts that diffuse into host cells, as very little ROS seems to be produced by the host cells from thermal-associated host cellular damage. We applied a reference microarray design for the multi-factorial experiment outlined in the study, including two factors: Temperature (3 levels: 24 ËC, 28 ËC, 31 ËC) and Time (2 levels: 3h and 10h). Samples from time zero were used to generate the reference sample for the microarray hybridization experiments. A total of 18 microarrays were used in the entire experiment. Reference samples in each array was labeled with Cy3, and the actual experimenatl samples with Cy5. Ratio-Intensity plots were constructed for each array data to explore whether or not intensity dependence of log ratios, which appears as curvature, was present. Because curvatures were detected in a few of the arrays, an rLowess curve fitting transformation was applied to the data. The transformation was applied to all the arrays to keep consistence in the whole data. Quantile normalisation was also applied to mean log-intensities in order to make the distributions essentially the same across arrays. To detect differentially expressed genes among treatment through the course time of the experiment, a 2-way ANOVA model was fitted to the log transformed intensity data using the microarray analysis software GeneSpring (Agilent Technology). To correct for Type I error derived from multiple testing, the Benjamini and Hochberg method was applied as a false discovery rate (FDR) approach.

Dataset Information

Intra- and Inter-Individual Variance of Gene Expression in Human Placenta

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure