Dataset Information

ITRAQ-based quantitative proteomic analysis of liver in yellow-feather chickens

ABSTRACT: We used quantitative proteome analysis based on iTRAQ to study the liver response of yellow-feather chickens to Heat stress.

ORGANISM(S): Gallus Gallus

SUBMITTER: Quan Zhang

PROVIDER: PXD019971 | iProX | Tue Jun 23 00:00:00 BST 2020

REPOSITORIES: iProX

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iTRAQ-based quantitative proteomic analyses the cycle chronic heat stress affecting liver proteome in yellow-feather chickens.

Zhang Quan Q Yang YuZe Y Lu YongQiang Y Cao ZiWen Z

Poultry science 20210317 6

Heat stress (HS) is one of the main environmental factors affecting the efficiency of poultry production. The yellow-feather chickens (YFC) as an indigenous strain of chicken is a popular poultry breed in China. Our previous study used the RNA-seq to analyze the gene expression profiles of male YFC under HS and showed that the lipid and energy metabolism pathways are activated in livers of YFC exposed to acute HS (38°C, 4 h and 25°C recovery 2 h). In this study, we used quantitative proteome ana ...[more]

PMID: 33965807

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Project description:Background: Yellow catfish (Pelteobagrus fulvidraco) is one of the important aquaculture species in China. In recent years, due to the high breeding density, the increasing frequency of feeding, and the excessive addition of feed fat, the excessive deposition of body fat in cultured yellow catfish has become more frequent. MicroRNAs (miRNAs) are an important gene expression regulatory signal molecule that regulates liver fat synthesis and transport and play an important role in fat deposition. However, there is a little research on the mechanism of fatty liver caused by excessive deposition of liver fat. Results: After 60 days of high-fat stress, the growth and feed conversion rate of hybrid yellow catfish (Pelteobagrus fuIvidraco♀×P. vachelli♂) were significantly inhibited, and hepatosomatic index, viscerosomatic index, hepatic triglyceride and cholesterol, and red lipid droplets in liver tissues were increased. Through high-throughput sequencing, we constructed miRNA libraries of high-fat stress at 60d, identified 346 conserved miRNAs and 410 novel miRNAs, among which 13 differentially expressed miRNAs were screened between high-fat diet group and normal-fat diet group. Also, we constructed mRNA transcriptome libraries after high-fat stress. Potential target genes for differentially expressed miRNAs were identified by bioinformatics analysis. Seven miRNA-mRNA pairs were screened. The expression of differential miRNA and mRNA and potential binding sites were analyzed by qRT-PCR and dual luciferase assay. Hybrid yellow catfish could promote the oxidative degradation of liver glucose, reduce fatty acid peroxidation, regulate antioxidant enzyme activity and response of immune and inflammatory to relieve fat deposition and liver stress. Conclusions: The disorders of fat metabolism in liver not only result in feed wastage, increase metabolic burden of yellow catfish, but also cause immune function damage, resulting in a variety of nutritional diseases. The development of this study is to understand the molecular mechanism of hepatic fat deposition in yellow catfish. It has important biological significance for improving protection of liver against stress and healthy culture.

Project description:The recent development within high-throughput technologies for expression profiling has allowed for parallel analysis of transcriptomes and proteomes in biological systems such as comparative analysis of transcript and protein levels of tissue regulated genes. Until now, such studies of have only included microarray or short length sequence tags for transcript profiling. Furthermore, most comparisons of transcript and protein levels have been based on absolute expression values from within the same tissue and not relative expression values based on tissue ratios. Presented here is a novel study of two porcine tissues based on integrative analysis of data from expression profiling of identical samples using cDNA microarray, 454-sequencing and iTRAQ-based proteomics. Sequence homology identified 2.541 unique transcripts that are detectable by both microarray hybridizations and 454-sequencing of 1.2 million cDNA tags. Both transcript-based technologies showed high reproducibility between sample replicates of the same tissue, but the correlation across these two technologies was modest. Thousands of genes being differentially expressed were identified with microarray. Out of the 306 differentially expressed genes, identified by 454-sequencing, 198 (65 %) were also found by microarray. The relationship between the regulation of transcript and protein levels was analyzed by integrating iTRAQ-based proteomics data. Protein expression ratios were determined for 354 genes, of which 148 could be mapped to both microarray and 454-sequencing data. A comparison of the expression ratios from the three technologies revealed that differences in transcript and protein levels across heart and muscle tissues are positively correlated. We show that the reproducibility within cDNA microarray and 454-sequencing is high, but that the agreement across these two technologies is modest. We demonstrate that the regulation of transcript and protein levels across identical tissue samples is positively correlated when the tissue expression ratios are used for comparison. The results presented are of interest in systems biology research in terms of integration and analysis of high-throughput expression data from mammalian tissues. Keywords: tissue comparison, platform comparison Tissue samples of heart (HEA) and Longissimus dorsi (LDO) were prepared by pooling from five healthy Hampshire gilts at age four to six months and division into six sub-samples, three for each tissue named HEA1, HEA2, HEA3, LDO1, LDO2 and LDO3. The exact same six tissue samples were used for subsequent expression profiling with cDNA microarray, 454-sequencing and iTRAQ-based proteomics. A reference sample for the cDNA microarray experiment and iTRAQ-based proteomics was constructed by combining the six samples. In the microarray experiment, three cDNA microarray slides were used per sample.

Dataset Information

ITRAQ-based quantitative proteomic analysis of liver in yellow-feather chickens

Publications

iTRAQ-based quantitative proteomic analyses the cycle chronic heat stress affecting liver proteome in yellow-feather chickens.

Similar Datasets

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