Project description:Human hepatocellular carcinoma cells, HepG2 , cultured in DMEM containing 10% fetal calf serum. To study gene expression changes induced by Vitamin K2, total RNA was isolated following the Isogen procedure (Nippon-gene, Tokyo, Japan) from HepG2 cells with and without 50 microM of Vitamin K2 treatment for three days. The cDNA microarrays Human Oligo Chip 30K “AceGene” subset A was purchased from Hitachi Software Engineering Co. (Yokohama-City, Japan). This array contains 10368 kinds of gene-specific 50 mer sense oligonucleotides. Subset A contains mainly known function ORF oligo probes. Preparation of fluorescent cDNA targets by an indirect labeling approach was performed using PowerScript reverse transcription kit (Clontech). First-strand cDNAs were synthesized from 30 microg of total RNA from HepG2 cells treated with or without Vitamin K2 using random primer and PoweScript Fluorescent Labelling Kit. Monofunctional, N-hydroxysuccinimide-activated fluorescent dyes (Cy3 and Cy5; Amersham) were coupled to the cDNAs by reaction with the amino functional groups. Untreated cells were labeled with Cy3 as a control and treated cells with Cy5 as a sample. After free dyes were removed using MinElute Purification kit (Qiagen), the targets were mixed together and added to the microarrays, and then incubated overnight (16 hours) at 42?C. The slides were washed at 30?C in each with 2x SSC, 0.1% SDS and 2x SSC for 10 min and 5 min, respectively, and washed in 1x SSC for 5 min. Fluorescent images of the hybridized microarrays were scanned with a fluorescence laser confocal slide scanner (Affymetrix 428 Array Scanner, Affymetrix, Santa Clara, CA). The Cy3 and Cy5 intensities with background subtraction were determined by ImaGene 4.2 software (BioDiscovery, Marina Del Rey, CA). The expression data were then filtered based on their channel intensities, spot size and flag (missing or inaccurate data), and the Cy5/Cy3 ratios were calculated and normalized by median-centering the log-ratio of all genes.

Project description:BACKGROUND:In animal breeding, identification of causative genetic variants is of major importance and high economical value. Usually, the number of candidate variants exceeds the number of variants that can be validated. One way of prioritizing probable candidates is by evaluating their potential to have a deleterious effect, e.g. by predicting their consequence. Due to experimental difficulties to evaluate variants that do not cause an amino-acid substitution, other prioritization methods are needed. For human genomes, the prediction of deleterious genomic variants has taken a step forward with the introduction of the combined annotation dependent depletion (CADD) method. In theory, this approach can be applied to any species. Here, we present pCADD (p for pig), a model to score single nucleotide variants (SNVs) in pig genomes. RESULTS:To evaluate whether pCADD captures sites with biological meaning, we used transcripts from miRNAs and introns, sequences from genes that are specific for a particular tissue, and the different sites of codons, to test how well pCADD scores differentiate between functional and non-functional elements. Furthermore, we conducted an assessment of examples of non-coding and coding SNVs, which are causal for changes in phenotypes. Our results show that pCADD scores discriminate between functional and non-functional sequences and prioritize functional SNVs, and that pCADD is able to score the different positions in a codon relative to their redundancy. Taken together, these results indicate that based on pCADD scores, regions with biological relevance can be identified and distinguished according to their rate of adaptation. CONCLUSIONS:We present the ability of pCADD to prioritize SNVs in the pig genome with respect to their putative deleteriousness, in accordance to the biological significance of the region in which they are located. We created scores for all possible SNVs, coding and non-coding, for all autosomes and the X chromosome of the pig reference sequence Sscrofa11.1, proposing a toolbox to prioritize variants and evaluate sequences to highlight new sites of interest to explain biological functions that are relevant to animal breeding.

Dataset Information

Sus scrofa

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets