Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website.     

Microarray expression profiling of tissues from mice with uniparental duplications of Chromosomes 7 and 11 to identify imprinted genes

Microarray analysis allows the screening of thousands of identifiable genes in a single experiment. The challenge of this approach is to combine the new technology with established genetic tools to associate genes with specific biological function. In this study we have designed a screen to identify imprinted genes from mice with uniparental duplications of proximal Chromosomes (Chrs) 7 and 11, using microarray analysis. By comparing the expression patterns in embryonic and newborn tissues of maternally versus paternally inherited proximal Chrs 7 and 11, we have correctly identified four out of five known imprinted genes represented on a microarray. We have additionally identified two novel imprinted candidate genes as well as a differentially expressed clone that is a potential downstream target. Interpretation of the microarray data requires careful preparation of age- and strain-matched samples and attention to detail in tissue dissection technique. Received: 15 March 2001 / Accepted: 13 June 2001     

Differential expression analysis of porcine MDH1, MDH2 and ME1 genes in adipose tissues

Malate dehydrogenases 1 and 2 (MDH1 and MDH2), and malic enzyme 1 (ME1) play important roles in the Krebs cycle for energy metabolism. The mRNA abundance changes of MDH1, MDH2 and ME1 genes were measured across six different adipose tissues from the leaner Landrace and fatty Rongchang pig breeds using quantitative real-time PCR. The mRNA of MDH1, MDH2 and ME1 was more abundant in fatty Rongchang pigs than in leaner Landrace pigs. In both breeds, females exhibited higher adipocyte volume and mRNA abundance of MDH1, MDH2 and ME1 compared with males. These values were higher in the subcutaneous adipose tissue compared with visceral adipose tissue. Furthermore, mRNA abundance changes of MDH1, MDH2 and ME1 have the remarked significant positive correlation with adipocyte volume across the six adipose tissue types. We conclude that there are breed-, gender- and tissue-specific expression patterns of ME1, MDH1 and MDH2, which highlight their potential as candidate genes for selecting for fat volume in pigs.     

Microarray analysis of microRNA expression in liver cancer tissues and normal control

Background

Recently, many studies have focused on microRNAs (miRNAs) expression profiling in liver cancer, due to the ability of these small RNAs to potently influence cellular behavior. In this study, to further investigate the relationship between them, the miRNA expression profiling of the cancer liver tissues and normal liver tissues were compared.

Methods

The datasets of miRNAs microarray in liver cancer and normal control were downloaded from Gene Expression Omnibus. Then the SOAP analysis was performed to identify the differentially expressed miRNAs.

Results

A total of 221 differentially expressed miRNAs were found. Five of them (including hsa-miR-15b, hsa-miR-1975, hsa-miR-199a-3p, hsa-miR-199b-3p and hsa-miR-421) were determined by t-test and may be involved in the pathogenesis of liver cancer.

Conclusion

There differentially expressed miRNAs may be potential molecular markers for liver cancer screening.     

Microarray analysis of gene expression profiles in the bovine mammary gland during lactation

Mammary glands undergo functional and metabolic changes during virgin, lactation and dry periods. A total of 122 genes were identified as differentially expressed, including 79 up-regulated and 43 down-regulated genes during lactation compared with virgin and dry periods. Gene ontology analysis showed the functional classification of the up-regulated genes in lactation, including transport, biosynthetic process, signal transduction, catalytic activity, immune system process, cell death, and positive regulation of the developmental process. Microarray data clarified molecular events in bovine mammary gland lactation.     

Diverse expression profiles of 21 rice peroxidase genes

Secretory class III plant peroxidases (POXs) catalyze the oxidation of various reductants, and are encoded by a large multigene family. In rice, 42 independent expressed sequence tags for POXs have been identified. By RNA gel blot analysis using specific probes, we show here that 21 rice POX genes are unique in their developmental, organ specific and external stimuli-responsive expression. This would suggest that encoded POX isoenzymes are involved in a broad range of physiological processes in rice plants, individually.