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1.
Genomics & Informatics ; : e31-2019.
Article in English | WPRIM | ID: wpr-763816

ABSTRACT

We sought the novel concept, transcript capacity (TC) and analyzed TC. Our approach to estimate TC was through an in silico method. TC refers to the capacity that a transcript exerts in a cell as enzyme or protein function after translation. We used the genome-wide association study (GWAS) beta effect and transcription level in RNA-sequencing to estimate TC. The trait was body fat percent and the transcript reads were obtained from the human protein atlas. The assumption was that the GWAS beta effect is the gene’s effect and TC was related to the corresponding gene effect and transcript reads. Further, we surveyed gene ontology (GO) in the highest TC and the lowest TC genes. The most frequent GOs with the highest TC were neuronal-related and cell projection organization related. The most frequent GOs with the lowest TC were wound-healing related and embryo development related. We expect that our analysis contributes to estimating TC in the diverse species and playing a benevolent role to the new bioinformatic analysis.


Subject(s)
Female , Humans , Pregnancy , Adipose Tissue , Computational Biology , Computer Simulation , Embryonic Development , Gene Ontology , Genome-Wide Association Study , Methods
2.
Journal of Biomedical Research ; : 235-239, 2013.
Article in Korean | WPRIM | ID: wpr-97582

ABSTRACT

Antimicrobial peptides (AMPs) are an important component of innate defense mechanisms with broad-spectrum activities against various pathogenic microorganisms, including Gram-positive and Gram-negative bacteria, fungi, and viruses. Antibiotic resistance has become a pervasive and global health burden, resulting in the immediate need to develop a new class of antibiotic substances. We screened a 16-mer random peptide library using the yeast two-hybrid system with Beclin 1 as bait and found that two 16-mer peptides (named P4 and P30) appeared to interact with Beclin1 in the beta-gal assay. The two candidate cDNAs were introduced into the yeast secretory system of Pichia pastoris and their expression induced in the presence of methanol. Spectrophotometric analysis and Disc clear zone assay using the supernatant of the yeast growth media showed that both of the two peptides had strong activities against Staphylococcus aureus, MRSA (methicillin resistance Staphylococcus aureus), MRSA2242, and MRSA-2250, but no effect on commensal Lactobacillus strains. PCR analysis of the genomic DNA of transformed Pichia pastoris using AOX1 primers revealed that the two cDNAs were integrated into the genome at the AOX1 locus. Our result suggests that these peptides could be developed as a useful alternative to classic chemical antibiotics.


Subject(s)
Anti-Bacterial Agents , Defense Mechanisms , DNA , DNA, Complementary , Drug Resistance, Microbial , Fungi , Genome , Gram-Negative Bacteria , Lactobacillus , Lacticaseibacillus casei , Methanol , Methicillin-Resistant Staphylococcus aureus , Peptide Library , Peptides , Pichia , Polymerase Chain Reaction , Staphylococcus , Staphylococcus aureus , Two-Hybrid System Techniques , Yeasts
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