Project description:In this work, the effects of different sources of meat protein on liver metabolic enzymes were investigated. Rats were fed for 90 days with semisynthetic diets in which casein was fully replaced by isolated soybean, fish, chicken, pork, or beef proteins. Then, liver proteomics was performed using iTRAQ and LC−ESI−MS/MS. The results indicated that intake of meat protein diets significantly reduced the protein levels of CYP450s, GSTs, UGTs, and SULTs compared to those of the casein and soybean protein diet groups. The total antioxidant capacity and lipid peroxidation values did not differ between four meat protein diet groups and the casein diet group. However, GSH activity in the fish, chicken, and beef protein groups was significantly higher than those of the casein and soybean protein groups. The beef protein diet significantly upregulated the expression of immune-related proteins. The Keap1-Nrf2-ARE signaling pathway was suggested to involve the diet-mediated regulation of biotransformation, inflammation, and redox status.
Project description:To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture. Experiment Overall Design: Gene expression profiles were correlated with beef traits measured at the same cattle.
Project description:Aliivibrio wodanis and Moritella viscosa have often been isolated together from fish with winter ulcer. Little is known about the interaction between the two bacterial species and how the presence of one bacterial species affects the behaviour of the other. The impact on bacterial growth in co-culture was investigated in vitro, and the presence of A. wodanis has a strong inhibitorial effect on M. viscosa. Further, we have sequenced the complete genomes of these two marine Gram-negative species, and have performed transcriptome analysis of the bacterial gene expression levels from in vivo samples. Using bacterial implants in the fish abdomen, we demonstrate that the presence of A. wodanis is altering the gene expression levels of M. viscosa compared to when the bacteria are implanted separately. The impeding effect on growth and the change in the global gene expression pattern of M. viscosa when the two pathogens co-exists is discussed in this paper.
Project description:We profiled the expression of circulating microRNAs (miRNAs) in mice exposed to gram-positive and gram-negative bacteria using Illumina small RNA deep sequencing. Recombinant-specific gram-negative pathogen Escherichia coli (Xen14) and gram-positive pathogen Staphylococcus aureus (Xen29) were used to induce bacterial infection in mice at a concentration of 1 × 108 bacteria/100 μL of phosphate buffered saline (PBS). Small RNA libraries generated from the serum of mice after exposure to PBS, Xen14, Xen29, and Xen14+Xen29 via the routes of subcutaneous injection (I), cut wound (C), or under grafted skin (S) were analyzed using an Illumina HiSeq2000 Sequencer. Following exposure to gram-negative bacteria alone, no differentially expressed miRNA was found in the injection, cut, or skin graft models. Exposure to mixed bacteria induced a similar expression pattern of the circulating miRNAs to that induced by gram-positive bacterial infection. Upon gram-positive bacterial infection, 9 miRNAs (mir-193b-3p, mir-133a-1-3p, mir-133a-2-3p, mir-133a-1-5p, mir-133b-3p, mir-434-3p, mir-127-3p, mir-676-3p, mir-215-5p) showed upregulation greater than 4-fold with a p-value < 0.01. Among them, mir-193b-3p, mir-133a-1-3p, and mir-133a-2-3p presented the most common miRNA targets expressed in the mice exposed to gram-positive bacterial infection.
Project description:Human serum was treated with different Gram-positive and Gram-negative bacterial strains. The whole serum or sMAC isolated from serum were then separated by size-exclusion chromatography (SEC) and the fractions were analyzed by Bottom-up MS.
Project description:RNA-protein interactions crucially underlie many steps of bacterial gene expression including post-transcriptional control by small regulatory RNAs (sRNAs). In stark contrast with recent progress in Gram-negative bacteria, knowledge about RNA and protein complexes in Gram-positive species remains scarce. Here, we used Grad-seq to draft a landscape of such complexes in Streptococcus pneumoniae, determining the sedimentation profiles of ~88% of the transcripts and ~62% of the proteins of this important human pathogen. Analysis of in-gradient distributions and subsequent tag-based protein capture identified interactions of the exoribonuclease Cbf1 (a.k.a. YhaM) with sRNAs that control bacterial competence. Contrary to expectation, the nucleolytic activity of Cbf1 stabilized these sRNAs, thereby promoting their function as repressors of competence. These results illustrate how this first RNA/protein complexome resource for a Gram-positive species can be utilized to identify new molecular factors in RNA-based regulation of pathways with relevance to bacterial virulence.
Project description:RNA-protein interactions crucially underlie many steps of bacterial gene expression including post-transcriptional control by small regulatory RNAs (sRNAs). In stark contrast with recent progress in Gram-negative bacteria, knowledge about RNA and protein complexes in Gram-positive species remains scarce. Here, we used Grad-seq to draft a landscape of such complexes in Streptococcus pneumoniae, determining the sedimentation profiles of ~88% of the transcripts and ~62% of the proteins of this important human pathogen. Analysis of in-gradient distributions and subsequent tag-based protein capture identified interactions of the exoribonuclease Cbf1 (a.k.a. YhaM) with sRNAs that control bacterial competence. Contrary to expectation, the nucleolytic activity of Cbf1 stabilized these sRNAs, thereby promoting their function as repressors of competence. These results illustrate how this first RNA/protein complexome resource for a Gram-positive species can be utilized to identify new molecular factors in RNA-based regulation of pathways with relevance to bacterial virulence.
Project description:Signal intensities of BC-GP array for 105 speimens The Verigene Gram-Positive Blood Culture (BC-GP) nucleic acid assay is an automated microarray-based test, which can detect 12 Gram-positive bacterial genes and 3 resistance determinants using blood culture broths. We investigated signal intensities of microarray spots, and reclassified undetermined results where the automated system failed and various errors were called in blood culture specimens and spiked samples. Signal intensity analysis of BC-GP assay. SAMPLE_077 [Blood culture, Escherichia coli, Gram-negative, BacTALERT, Supernatant, Peripheral blood] had no signal data in the array raw data. Thus, SAMPLE_077 is not represented in this Series.
Project description:Identify specific genetic regulatory and signaling mechanisms that result in occurrence of “dark cutting meat” from beef carcasses in order to develop novel strategies for reducing incidence
Project description:To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture.