Reference Genes Selection for Quantitative Real-Time PCR Using RankAggreg Method in Different Tissues of Capra hircus

Identification of reference genes with stable levels of gene expression is an important prerequisite for obtaining reliable results in analysis of gene expression data using quantitative real time PCR (RT-qPCR). Since the underlying assumption of reference genes is that expressed at the exact same level in all sample types, in this study, we evaluated the expression stability of nine most commonly used endogenous controls (GAPDH, ACTB, 18S rRNA, RPS18, HSP-90, ALAS, HMBS, ACAC, and B2M) in four different tissues of the domestic goat, Capra hircus, including liver, visceral, subcutaneous fat and longissimus muscles, across different experimental treatments (a standard diet prepared using the NRC computer software as control and the same diet plus one mg chromium/day). We used six different software programs for ranking of reference genes and found that individual rankings of the genes differed among them. Additionally, there was a significant difference in ranking patterns of the studied genes among different tissues. A rank aggregation method was applied to combine the ranking lists of the six programs to a consensus ranking. Our results revealed that HSP-90 was nearly always among the two most stable genes in all studied tissues. Therefore, it is recommended for accurate normalization of RT-qPCR data in goats, while GAPDH, ACTB, and RPS18 showed the most varied expressions and should be avoided as reference genes.     

Discovery of EST-SSRs in lung cancer: tagged ESTs with SSRs lead to differential amino acid and protein expression patterns in cancerous tissues

Tandem repeats are found in both coding and non-coding sequences of higher organisms. These sequences can be used in cancer genetics and diagnosis to unravel the genetic basis of tumor formation and progression. In this study, a possible relationship between SSR distributions and lung cancer was studied by comparative analysis of EST-SSRs in normal and lung cancerous tissues. While the EST-SSR distribution was similar between tumorous tissues, this distribution was different between normal and tumorous tissues. Trinucleotides tandem repeats were highly different; the number of trinucleotides in ESTs of lung cancer was 3 times higher than normal tissue. Significant negative correlation between normal and cancerous tissue showed that cancerous tissue generates different types of trinucleotides. GGC and CGC were the more frequent expressed trinucleotides in cancerous tissue, but these SSRs were not expressed in normal tissue. Similar to the EST level, the expression pattern of EST-SSRs-derived amino acids was significantly different between normal and cancerous tissues. Arg, Pro, Ser, Gly, and Lys were the most abundant amino acids in cancerous tissues, and Leu, Cys, Phe, and His were significantly more abundant in normal tissues than in cancerous tissues. Next, the putative functions of triplet SSR-containing genes were analyzed. In cancerous tissue, EST-SSRs produce different types of proteins. Chromodomain helicase DNA binding proteins were one of the major protein products of EST-SSRs in the cancerous library, while these proteins were not produced from EST-SSRs in normal tissue. For the first time, the findings of this study confirmed that EST-SSRs in normal lung tissues are different than in unhealthy tissues, and tagged ESTs with SSRs cause remarkable differences in amino acid and protein expression patterns in cancerous tissue. We suggest that EST-SSRs and EST-SSRs differentially expressed in cancerous tissue may be suitable candidate markers for lung cancer diagnosis and prediction.     

Application of functional genomic information to develop efficient EST-SSRs for the chicken (Gallus gallus)

Many years of domestication and breeding have given rise to the wide range of chicken breeds that exist today; however, an increasing number of local chicken breeds are under threat of extinction. A comprehensive characterization of chicken markers (especially type I markers) is needed to monitor and conserve genetic diversity in this species. The explosion of genomics and functional genomics information in recent years has opened new possibilities for the generation of molecular markers. We analyzed a large number of expressed sequence tags (ESTs) to test the possibility of using EST-derived microsatellite markers for investigating the Gallus gallus genome. Chromosomal locations for the majority of these SSRs were predicted. Of the 31,576 unigenes assembled from the 544,150 redundant EST sequences, 1757 SSR markers were discovered on 1544 ESTs, using the SSRLocator software, with an average density of 28.7 kb per SSR. The dimer motifs were the most frequent (46.38%), followed by trimeric (38.58%), tetrameric (10.19%), pentameric (4.5%), and hexameric (<1%) markers. Different from the case for cattle and sheep, AT/TA was the most abundant dimeric repeat, accounting for 41.71% of all dimeric repeats in the chicken ESTs. The EST-SSR distribution was not uniform among the chromosomes; the majority of the EST-SSRs were located on chromosomes GGA2 and GGA10. We found that most of the EST-SSRs are involved in positive regulation of cellular and metabolic processes. This is the first time that EST sequences have been mined to find chicken microsatellites. On average, 3.8% of the G. gallus UniGene sequences could be exploited for development of EST-SSRs, indicating a good source for molecular markers as well as for functional genome analysis.