Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays

2005 ◽  
Vol 21 (1) ◽  
pp. 117-123 ◽  
Author(s):  
Anu Sharma ◽  
Vineet K. Sharma ◽  
Shirley Horn-Saban ◽  
Doron Lancet ◽  
Srinivasan Ramachandran ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Natural Variation ◽  
Monozygotic Twins ◽  
Housekeeping Genes ◽  
Functional Class ◽  
Oligonucleotide Microarrays ◽  
Blood Leukocytes ◽  
Natural Variations

Quantitative variation in gene expression in humans is the outcome of various factors, including differences in genetic background, gender, age, and environment. However, the extent of the influence of these factors on gene expression is not clear. We attempted to address this issue by carrying out gene expression profiling in blood leukocytes with 13 individuals (including 5 pairs of monozygotic twins) on 10,000 genes using HG-U95Av2 oligonucleotide microarrays. The proportion of differentially expressed genes between monozygotic twins was low (up to 1.76%). Most of the variations belonged to the least variable category. These genes, exhibiting “random variations,” did not show clear preference to any functional class, although “signaling and communication” and “immune and related functions” generally topped the list. The extent of variation in gene expression increased in comparisons between unrelated individuals (up to 14.13%). Most of the genes (89%) exhibiting random variations in twins also varied in expression in unrelated individuals. As with twins, signaling and communication topped the list, and substantial variations were observed in all three categories: least variable, moderately variable, and most variable. An important outcome of this study was that the housekeeping genes were nearly insensitive to random variations but appeared to be more susceptible to genetic differences. However, the highly expressed housekeeping genes exhibited low variation and appeared to be insensitive to all known factors. Gene expression profiling in monozygotic twins can provide useful data for the assessment of natural variation in gene expression in humans.

scholarly journals Gene expression profiling in peripheral blood leukocytes as a new approach for assessment of human stress response

2005 ◽  
Vol 52 (3,4) ◽  
pp. 137-144 ◽  
Author(s):  
Kazuhito Rokutan ◽  
Kyoko Morita ◽  
Kiyoshi Masuda ◽  
Kumiko Tominaga ◽  
Michiyo Shikishima ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stress Response ◽  
Gene Expression Profiling ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Peripheral Blood Leukocytes ◽  
Blood Leukocytes ◽  
New Approach ◽  
Human Stress

P-111 Identification of optimal housekeeping genes for gene expression profiling in non-small cell lung cancer

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S143-S144
Author(s):  
S. Saviozzi ◽  
M. Volante ◽  
M. Lo Iacono ◽  
M. Papotti ◽  
G. Scagliotti ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Gene Expression Profiling ◽  
Cell Lung Cancer ◽  
Expression Profiling ◽  
Housekeeping Genes ◽  
Small Cell ◽  
Small Cell Lung

Gene expression profiling of amniotic fluid mesenchymal stem cells of monozygotic twins discordant for trisomy 21

Gene ◽  
2020 ◽  
Vol 738 ◽  
pp. 144461
Author(s):  
Shu-Han You ◽  
Yun-Shien Lee ◽  
Yu-Jen Chang ◽  
Chiao-Yun Lin ◽  
Tzu-Hao Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Amniotic Fluid ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Trisomy 21 ◽  
Monozygotic Twins

scholarly journals Global Gene Expression Profiling of Body-Mass Index in Middle-Aged Danish Twins

2020 ◽  
pp. 1-8
Author(s):  
Qihua Tan ◽  
Weilong Li ◽  
Jan Baumbach ◽  
Afsaneh Mohammadnejad ◽  
Jesper Lund ◽  
...  
Keyword(s):  
Gene Expression ◽  
Body Mass Index ◽  
Gene Expression Profiling ◽  
Body Mass ◽  
Expression Profiling ◽  
Monozygotic Twins ◽  
Global Gene Expression ◽  
The Body ◽  
Obesity And Diabetes ◽  
Global Gene Expression Profiling

Objective: The body mass index (BMI) measured as weight in relation to height is an important monitor for obesity and diabetes, with individual variation under control by genetic and environmental factors. In transcriptome-wide association studies on BMI, the genetic contribution calls for controlling of genetic confounding that affects both BMI and gene expression. We performed a global gene expression profiling of BMI on peripheral blood cells using monozygotic twins for efficient handling of genetic make-ups. Methods: We applied a generalized association method to genome-wide gene expression data on 229 pairs of monozygotic twins (age 56-80 years) for detecting diverse patterns of correlation between BMI and gene expression. Results: We detected seven probes associated with BMI with p<1e-04, among them two probes with p<1e05 (p=2.83e-06 AAK1; p=7.83e-06 LILRA3). In total, the analysis found 1579 probes with nominal p<0.05. Biological pathway analysis of enriched pathways found 50 KEGG and 45 Reactome pathways (FDR<0.05). The identified top functional pathways included immune function, JAK-STAT signalling, insulin signalling and regulation of energy metabolism. Conclusion: This transcriptome-wide association study using monozygotic twins and generalized correlation identified differentially expressed genes and a broad spectrum of enriched biological pathways that may implicate metabolic health.

A temporal study of gene expression in rat lung following fixed-volume hemorrhage

2005 ◽  
Vol 23 (3) ◽  
pp. 275-286 ◽  
Author(s):  
P. D. Bowman ◽  
J. L. Sondeen ◽  
B. Zhao ◽  
V. G. Coppes ◽  
J. J. Nelson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Intracellular Signaling ◽  
Mononuclear Cells ◽  
Lung Damage ◽  
Pcr Analysis ◽  
Oligonucleotide Microarrays ◽  
Expression Of Genes ◽  
Temporal Study

Previous studies have indicated that hemorrhage may predispose the lung to respiratory distress syndrome. Gene expression profiling with oligonucleotide microarrays was used to evaluate the genetic responses of the lung to hemorrhage. Conscious rats, chronically instrumented with a catheter and telemetry device to record blood pressure, heart rate, and temperature, had 40% of their estimated blood volume removed at a rate of 1 ml/min over 7–10 min. Groups of three or more rats were euthanized at 1, 3, 6, 16, 24, 48, or 72 h following hemorrhage. Two additional groups were unmanipulated controls and instrumented animals with sham hemorrhage. Total RNA was isolated from lung, reverse-transcribed to cDNA, fluorescently labeled, and hybridized to oligonucleotide microarrays probing 5,671 rat genes. After hemorrhage, statistically detectable alteration of expression was seen in ∼0.8% of the genes at some time during the 72-h test period (vs. sham hemorrhage) as determined by false discovery rate statistics in the statistical analysis of microarrays program. A subset was confirmed by RT-PCR analysis. Hemorrhage influenced genes that regulate intracellular signaling and structure, growth factors, and hormonal receptors. There also appeared to be increased expression of genes that may mediate sequestration of neutrophils and mononuclear cells from the circulation. This hemorrhage model, although producing severe hemodynamic alterations, avoided mortality and histological evidence of lung damage, a feature intended to help ensure reliable evaluation of gene expression. These results indicate that gene expression profiling with microarrays provides a new tool for exploring the response of a tissue to systemic blood loss.

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