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Transcriptome-wide search for Carpathian goat factors associated with proviral load of small ruminant lentiviruses in goats

ABSTRACT: Purpose: RNA-sequencing (RNA-seq) was used to identify the changes in gene expression in goats carrying high (HPL) and low (LPL) proviral load of SRLV. For the first time, differentially expressed transcriptome profiles in these two group of animals were identified, and information about genes and mechanisms, and relevant pathways inferred via bioinformatics analyses. The results provided unique insights for further exploring and understanding the host responses to SRLV infection in goats. Results: Data enabled to identify 1434 significant differentially expressed genes between HPL and LPL goats. Of these genes, 571 were upregulated and the remaining 863 genes were downregulated in HPL goats. GO enrichment analysis showed that the identified DEGs were found to have significantly enriched regulation of signaling receptor activity, the response to toxic substance, NADH dehydrogenase complex assembly, cytokine production, vesicle and vacuole organization. In turn, KEGG pathway tool classified DEGs that enrich molecular processes such as B and T cell receptor signaling pathways, natural killer cell-mediated cytotoxicity, Fc gamma R-mediated phagocytosis, toll-like receptor signaling pathways, TNF, mTOR signaling and Foxo signaling pathway, etc. Conclusions: In this descriptive study, our findings revealed the changes in the host transcriptome expression profile between HPL and LPL goats during SRLV infection and suggested that changes in proviral load induced altering the host’s metabolic network and expression of genes related to host immune responses, including inflammation, cell locomotion, cytokine production, defense response etc. The above findings provided unique insights for further studies on the mechanisms underlying SRLV-host interactions.

ORGANISM(S): Capra hircus

PROVIDER: GSE168160 | GEO | 2021/03/04

REPOSITORIES: GEO

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Project description:Transportation stress causes significant changes in physiological responses in goats; however, studies exploring the transcriptome of stress are very limited. This study was conducted to analyze the transcriptome of stress and meat quality in goats using RNA-seq technology. Fifty-four male Spanish goats (8-mo old; BW = 29.7 ± 2.03 kg) were randomly subjected to one of three treatments (TRT; n = 18 goats / treatment): (i) transported for 180 min, (ii) transported for 30 min, or (iii) held in pens (control). Blood samples were collected before and after treatment for stress hormone, metabolite, and transcriptomic analysis. RNA-Seq technology was used to obtain the transcriptome profiles of blood. Analysis of physiological data using SAS showed that plasma cortisol concentrations were higher (P < 0.01) in 180 min and 30 min groups compared to the control group. A similar effect was noticed in plasma non-esterified fatty acid concentrations. Glucose concentrations were the lowest in the control group, highest in the 180 min group, and intermediate in the 30 min group (P < 0.01, while plasma creatine kinase concentrations were not significantly influenced by TRT. Neutrophil counts were higher (P < 0.01) and lymphocyte counts were lower (P < 0.01) in 180 min group compared to 30 min or control groups. The DESeq2 software identified a total of 430 DEGs for control vs. 30 min comparison, of which 127 genes were upregulated. For 180 min vs. control comparison, 741 DEGs were upregulated. Enrichment analysis of DEGs related to transportation stress through Gene Ontology and KEGG databases revealed that the DEGs related to inflammatory pathways, caspases, and apoptosis such as IL1R2, CASP14, CD14, TLR4, and MAPK14 were highly expressed in the transported group of goats compared to non-transported goats. Stress in goats leads to a sequence of events at cellular and molecular levels that causes inflammation and apoptosis and is also reflected in blood metabolites and leukocyte counts.

Project description:Lipoprotein lipase (LPL) is responsible for the intravascular catabolism of triglyceride-rich lipoproteins and plays a central role in whole-body energy balance and lipid homeostasis. As such, LPL is subject to tissue-specific regulation in different physiological conditions, but the mechanisms of this regulation remain incompletely characterized. Previous work revealed that LPL comprises a set of proteoforms with different isoelectric points, but their regulation and functional significance have not been studied thus far. Here we studied the distribution of LPL proteoforms in different rat tissues and their regulation under physiological conditions. First, analysis by two-dimensional electrophoresis and Western blot showed different patterns of LPL proteoforms (i.e., different pI or relative abundance of LPL proteoforms) in different rat tissues under basal conditions, which could be related to the tissue-specific regulation of the enzyme. Next, the comparison of LPL proteoforms from heart and brown adipose tissue between adults and 15-day-old rat pups, two conditions with minimal regulation of LPL in these tissues, yielded virtually the same tissue-specific patterns of LPL proteoforms. In contrast, the pronounced down-regulation of LPL activity observed in white adipose tissue during fasting is accompanied by a prominent reconfiguration of the LPL proteoform pattern. Furthermore, refeeding reverts this down-regulation of LPL activity and restores the pattern of LPL proteoforms in this tissue. Importantly, this reversible proteoform-specific regulation during fasting and refeeding indicates that LPL proteoforms are functionally diverse. Further investigation of potential differences in the functional properties of LPL proteoforms showed that all proteoforms exhibit lipolytic activity and have similar heparin-binding affinity, although other functional aspects remain to be investigated. Overall, this study demonstrates the ubiquity, differential distribution and specific regulation of LPL proteoforms in rat tissues and underscores the need to consider the existence of LPL proteoforms for a complete understanding of LPL regulation under physiological conditions.

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Transcriptome-wide search for Carpathian goat factors associated with proviral load of small ruminant lentiviruses in goats

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