scholarly journals RNA Profiles of the Korat Chicken Breast Muscle with Increased Carnosine Content Produced through Dietary Supplementation with β-Alanine or L-Histidine

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2596
Author(s):  
Satoshi Kubota ◽  
Kasarat Promkhun ◽  
Panpradub Sinpru ◽  
Chanadda Suwanvichanee ◽  
Wittawat Molee ◽  
...  

Korat chicken (KRC) is a slow-growing chicken bred in Thailand, whose meat exhibits a unique toughness. A previous study produced KRC breast meat containing high carnosine content through dietary supplementation with β-alanine or L-histidine; however, the KRC that were fed an L-histidine-supplemented diet produced meat that was significantly more tender. Herein, we performed RNA-Seq to identify candidate genes involved in the regulation of carnosine content and meat toughness. Total RNA was isolated from five female KRC breast muscles in each treatment group that KRC fed diets without supplementation, supplemented with β-alanine or L-histidine. Compared to the non-supplemented group, we identified 118 and 198 differentially expressed genes (DEGs) in the β-alanine or L-histidine supplementation groups, respectively. Genes potentially related to meat tenderness—i.e., those regulating myosin, collagen, intramuscular fat, and calpain—were upregulated (LOC107051274, ACSBG1, and CAPNS2) and downregulated (MYO7B, MYBPH, SERPINH1, and PGAM1). However, carnosine synthase gene was not identified. Functional enrichment analysis identified pathways affected by dietary supplementation, including the insulin signaling pathway (β-alanine supplementation) and the insulin resistance and adipocytokine signaling pathways (L-histidine supplementation). The FoxO signaling pathway was identified as a regulatory network for both supplementation groups. The identified genes can be used as molecular markers of meat tenderness in slow-growing chickens.

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3326
Author(s):  
Xiaobo Li ◽  
Zhanfa Liu ◽  
Shaohui Ye ◽  
Yue Liu ◽  
Qian Chen ◽  
...  

Chinese Zhongwei goat is a rare and precious fur breed as its lamb fur is a well-known fur product. Wool bending of lamb fur of the Zhongwei goat is its most striking feature. However, the curvature of the wool decreases gradually with growth, which significantly affects its quality and economic value. The mechanism regulating the phenotypic changes of hair bending is still unclear. In the present study, the skin tissues of Zhongwei goats at 45 days (curving wool) and 108 days (slight-curving wool) after birth were taken as the research objects, and the expression profiling of long non-coding RNAs (lncRNAs) and mRNAs were analyzed based on the Ribo Zero RNA sequencing (RNA-seq) method. In total, 46,013 mRNAs and 13,549 lncRNAs were identified, of which 352 were differentially expressed mRNAs and 60 were. lncRNAs. Functional enrichment analysis of the target genes of lncRNAs were mainly enriched in PI3K-Akt, Arachidonic acid metabolic, cAMP, Wnt, and other signaling pathways. The qRT-PCR results of eight selected lncRNAs and target genes were consistent with the sequencing result, which indicated our data were reliable. Through the analysis of the weighted gene co-expression network, 13 co-expression modules were identified. The turquoise module contained a large number of differential expressed lncRNAs, which were mainly enriched in the PI3K-Akt signaling pathway and cAMP signaling pathway. The predicted LOC102172600 and LOC102191729 might affect the development of hair follicles and the curvature of wool by regulating the target genes. Our study provides novel insights into the potential roles of lncRNAs in the regulation of wool bending. In addition, the study offers a theoretical basis for further study of goat wool growth, so as to be a guidance and reference for breeding and improvement in the future.


Biomolecules ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 429 ◽  
Author(s):  
Zou ◽  
Zheng ◽  
Deng ◽  
Yang ◽  
Xie ◽  
...  

Circular RNA CDR1as/ciRS-7 functions as an oncogenic regulator in various cancers. However, there has been a lack of systematic and comprehensive analysis to further elucidate its underlying role in cancer. In the current study, we firstly performed a bioinformatics analysis of CDR1as among 868 cancer samples by using RNA-seq datasets of the MiOncoCirc database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), CIBERSORT, Estimating the Proportion of Immune and Cancer cells (EPIC), and the MAlignant Tumors using Expression data (ESTIMATE) algorithm were applied to investigate the underlying functions and pathways. Functional enrichment analysis suggested that CDR1as has roles associated with angiogenesis, extracellular matrix (ECM) organization, integrin binding, and collagen binding. Moreover, pathway analysis indicated that it may regulate the TGF-β signaling pathway and ECM-receptor interaction. Therefore, we used CIBERSORT, EPIC, and the ESTIMATE algorithm to investigate the association between CDR1as expression and the tumor microenvironment. Our data strongly suggest that CDR1as may play a specific role in immune and stromal cell infiltration in tumor tissue, especially those of CD8+ T cells, activated NK cells, M2 macrophages, cancer-associated fibroblasts (CAFs) and endothelial cells. Generally, systematic and comprehensive analyses of CDR1as were conducted to shed light on its underlying pro-cancerous mechanism. CDR1as regulates the TGF-β signaling pathway and ECM-receptor interaction to serve as a mediator in alteration of the tumor microenvironment.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lingling Gao ◽  
Xiao Li ◽  
Qian Guo ◽  
Xin Nie ◽  
Yingying Hao ◽  
...  

Abstract Background Plakophilins (PKPs) are widely involved in gene transcription, translation, and signal transduction, playing a crucial role in tumorigenesis and progression. However, the function and potential mechanism of PKP1/2/3 in ovarian cancer (OC) remains unclear. It’s of great value to explore the expression and prognostic values of PKP1/2/3 and their potential mechanisms, immune infiltration in OC. Methods The expression levels, prognostic values and genetic variations of PKP1/2/3 in OC were explored by various bioinformatics tools and databases, and PKP2/3 were selected for further analyzing their regulation network and immune infiltration. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathways (KEGG) enrichment were also conducted. Finally, the expression and prognosis of PKP2 were validated by immunohistochemistry. Results The expression level and prognosis of PKP1 showed little significance in ovarian cancer, and the expression of PKP2/3 mRNA and protein were upregulated in OC, showing significant correlations with poor prognosis of OC. Functional enrichment analysis showed that PKP2/3 and their correlated genes were significantly enriched in adaptive immune response, cytokine receptor activity, organization of cell–cell junction and extracellular matrix; KEGG analysis showed that PKP2/3 and their significantly correlated genes were involved in signaling pathways including cytokine-mediated signaling pathway, receptor signaling pathway and pathways in cancer. Moreover, PKP2/3 were correlated with lymphocytes and immunomodulators. We confirmed that high expression of PKP2 was significantly associated with advanced stage, poor differentiation and poor prognosis of OC patients. Conclusion Members of plakophilins family showed various degrees of abnormal expressions and prognostic values in ovarian cancer. PKP2/3 played crucial roles in tumorigenesis, aggressiveness, malignant biological behavior and immune infiltration of OC, and can be regarded as potential biomarker for early diagnosis and prognosis evaluation in OC.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Wenqing Nai ◽  
Diane Threapleton ◽  
Jingbo Lu ◽  
Kewei Zhang ◽  
Hongyuan Wu ◽  
...  

Abstract Atherosclerosis is the primary cause of cardiovascular events and its molecular mechanism urgently needs to be clarified. In our study, atheromatous plaques (ATH) and macroscopically intact tissue (MIT) sampled from 32 patients were compared and an integrated series of bioinformatic microarray analyses were used to identify altered genes and pathways. Our work showed 816 genes were differentially expressed between ATH and MIT, including 443 that were up-regulated and 373 that were down-regulated in ATH tissues. GO functional-enrichment analysis for differentially expressed genes (DEGs) indicated that genes related to the “immune response” and “muscle contraction” were altered in ATHs. KEGG pathway-enrichment analysis showed that up-regulated DEGs were significantly enriched in the “FcεRI-mediated signaling pathway”, while down-regulated genes were significantly enriched in the “transforming growth factor-β signaling pathway”. Protein-protein interaction network and module analysis demonstrated that VAV1, SYK, LYN and PTPN6 may play critical roles in the network. Additionally, similar observations were seen in a validation study where SYK, LYN and PTPN6 were markedly elevated in ATH. All in all, identification of these genes and pathways not only provides new insights into the pathogenesis of atherosclerosis, but may also aid in the development of prognostic and therapeutic biomarkers for advanced atheroma.


2021 ◽  
Author(s):  
Sabaoon Zeb ◽  
Rehan Zafar Paracha ◽  
Maryum Nisar ◽  
Rimsha Khalid ◽  
Zartasha Mustansar ◽  
...  

Abstract According to the World Health Organization, Gastric cancer (GC) is the third leading cause of death worldwide, where, the major precursor of cancer progression is infection with Helicobacter pylori. It has been reported that 50% of the total populace is infected with H.pylori, while in 80% the ulcer emerges in later stages of the infection. Although extensive separate analysis has been performed on H.pylori infection and GC data, however, there is a need to perform comparative analysis to identify the cross-talk between the conditions and to hunt significant molecular events that occurs during H.pylori induced GC. The aim of this multi-population study was to identify common molecular events and potential bio-markers against H.pylori induced GC. We performed microarray and RNA-seq analysis on publicly available H.pylori infection, gastritis, H.pylori induced GC and GC datasets to obtain Differentially Expressed Genes (DEGs). After obtaining the DEGs, integrative analysis, functional enrichment analysis and network biology approaches were utilized to identify common markers and hub genes between various disease conditions. Functional enrichment analysis revealed the DEGs of H.pylori infection, gastritis, H.pylori induced GC and GC were strongly associated with spliceosome, adherens junction, focal adhesion and ribosome. Being one of the common DEG, and highly interactive hub protein in the networks of all the conditions, translationally controlled tumour protein (TPT1) was identified as a significant predictive biomarker for early prognosis and diagnosis of H.pylori induced GC. Therefore, the mechanisms behind TPT1 should be further studied using in vitro cell-based functional assays, to determine its role in the progression of H.pylori induced GC.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
KunZhe Wu ◽  
ChunDong Zhang ◽  
Cheng Zhang ◽  
DongQiu Dai

Objective. We identified differentially expressed microRNAs (DEMs) between esophageal carcinoma (ESCA) tissues and normal esophageal tissues. We then constructed a novel three-miRNA signature to predict the prognosis of ESCA patients using bioinformatics analysis. Materials and Methods. We combined two microarray profiling datasets from the Gene Expression Omnibus (GEO) database and RNA-seq datasets from the Cancer Genome Atlas (TCGA) database to analyze DEMs in ESCA. The clinical data from 168 ESCA patients were selected from the TCGA database to assess the prognostic role of the DEMs. The TargetScan, miRDB, miRWalk, and DIANA websites were used to predict the miRNA target genes. Functional enrichment analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery (David), and protein-protein interaction (PPI) networks were obtained using the Search Tool for the Retrieval of Interacting Genes database (STRING). Results. With cut-off criteria of P<0.05 and |log2FC| > 1.0, 33 overlapping DEMs, including 27 upregulated and 6 downregulated miRNAs, were identified from GEO microarray datasets and TCGA RNA-seq count datasets. The Kaplan–Meier survival analysis indicated that a three-miRNA signature (miR-1301-3p, miR-431-5p, and miR-769-5p) was significantly associated with the overall survival of ESCA patients. The results of univariate and multivariate Cox regression analysis showed that the three-miRNA signature was a potential prognostic factor in ESCA. Furthermore, the gene functional enrichment analysis revealed that the target genes of the three miRNAs participate in various cancer-related pathways, including viral carcinogenesis, forkhead box O (FoxO), vascular endothelial growth factor (VEGF), human epidermal growth factor receptor 2 (ErbB2), and mammalian target of rapamycin (mTOR) signaling pathways. In the PPI network, three target genes (MAPK1, RB1, and CLTC) with a high degree of connectivity were selected as hub genes. Conclusions. Our results revealed that a three-miRNA signature (miR-1301-3p, miR-431-5p, and miR-769-5p) is a potential novel prognostic biomarker for ESCA.


2020 ◽  
Author(s):  
Chaoxin Zhang ◽  
Tao Wang ◽  
Shengwei Liu ◽  
Bing Zhang ◽  
Xue Li ◽  
...  

Abstract Background: The vertebrate C/EBP transcription factors regulate many important biological processes, such as cell proliferation, differentiation, signal transduction, inflammation, and energy metabolism. The first C/EBP protein was identified in rat liver nuclei. Development of sequencing technology resulted in identification of the C/EBP genes in various species. In this study, a bioinformatics approach was used to determine the distribution of the members of the C/EBP family in vertebrates. A phylogenetic tree was constructed to analyze the C/EBP genes in vertebrates. Based on RNA-seq data, the expression patterns of pig C/EBP members in various tissues were analyzed. In addition, a gene transcription regulatory network was constructed with pig C/EBP members as the core.Results: We identified a total of 92 C/EBP genes in 17 vertebrate genomes. Phylogenetic analysis showed that all C/EBP TFs were classified into two groups; group I contained C/EBPβ TFs, and group II contained the remaining C/EBP TFs. The C/EBPα, C/EBPβ, C/EBPδ, C/EBPγ, and C/EBPζ genes were expressed ubiquitously with inconsistent expression patterns in various tissues. Moreover, a pig C/EBP regulatory network was constructed, including C/EBP genes, TFs, and miRNAs. A total of 39 FFL motifs were detected in the pig C/EBP regulatory network. Based on the RNA-seq data, gene expression patterns related to this FFL sub-network were analyzed in 27 adult Duroc tissues. Certain FFL motifs may be tissue specific. Functional enrichment analysis indicated that C/EBP and its target genes are involved in many important biological pathways. Conclusions: These results provide valuable information that clarifies the evolutionary relationships of the C/EBP family and contributes to the understanding of the biological function of C/EBP genes.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5176-5176 ◽  
Author(s):  
Alessandra Trojani ◽  
Antonino Greco ◽  
Alessandra Tedeschi ◽  
Milena Lodola ◽  
Barbara Di Camillo ◽  
...  

Abstract We performed a transcriptome-wide analysis of bone marrow (BM) CD19+ cells of WM vs. IgM-MGUS to find the genes and key pathways mostly involved in the comparison between WM and IgM-MGUS. We isolated BM CD19+ and CD138+ cells of 36 WM and 13 IgM-MGUS using Miltenyi Microbeads and we performed expression analysis with Affymetrix GeneChip HG U133 Plus 2.0 Array. Data was processed using RMA and analyzed using SAM and a false discovery rate threshold of 5% to select the differentially expressed genes. To further select a subset of robust biomarkers, SVMs were used in a Monte Carlo bootstrap resampling schema with B=100 external training/test splits to discriminate between WM and IgM-MGUS. 641 probes were selected by SAM on CD19+ cells. SVMs permitted the selection of 66 robust biomarker genes (Fig.1) with a MCC accuracy on external samples equal to 0.87. Functional enrichment analysis demonstrated the involvement of the following pathways: - Notch signaling pathway: ADAM17 (promoting cell growth) was upregulated while AGO1 and AGO4 (negative regulation of translation) were downregulated in WM - CAPRIN1 and SORT1 (pro-apoptosis) were underexpressed while CIAPIN1 (anti-apoptosis) was overexpressed in WM - Purine/pyrimidine metabolism (cell growth): ENTPD5 (cell proliferation) was overexpressed while NT5E (catabolic process) was underexpressed in WM - Sphingolipid pathway: ACER3, COL4A3BP, GBA3 were downregulated in WM - Rho-protein signal transduction: FARP2 (cell survival) was overexpressed in WM - Transcription: ITPRIPL2, L3MBTL4 were underexpressed while NFX1, LIMS1 (cell aging) USF1 were overexpressed in WM - Immune system: HLA-C was upregulated in WM - PRKCA was underexpressed in WM and involved in 85 pathways (MAPK-NGF-EGF-VEGF-ErbB-Ras-HIF-1-mTOR-PI3K-Akt) - MIR1204///PVT1 (oncogene), METTL3 (RNA-methylation), MINA (cell survival) were upregulated in WM As a second step of the study, we investigated 7 IgM-MGUS and 11 WM (2 symptomatic and 9 asymptomatic) newly diagnosed patients. We isolated the BM B cell clones (CD45+,CD38+,CD19+,LAIR-1-; CD27dim, IgM+, CD22dim, CD25+) using cell sorting with MoFlo XDP 3 laser cell sorter (Beckman Coulter). We identified clonally restricted B lymphocyte populations using BD LSRFortessa Flow Cytometer equipped with 5 lasers. We performed gene expression profiling (GEP) of the isolated BM cell clones of WM vs. IgM-MGUS using Affymetrix next-generation GeneChip HTA 2.0 to further investigate genomic complexity. The data was preprocessed and normalized using RMA. Selection and data analysis were performed using the t-test as implemented in the Affymetrix Transcriptome Analysis Console. Functional enrichment analysis performed using DAVID, demonstrated that groups of genes belonging to relevant functional categories were deregulated in the comparison between WM vs. IgMMGUS: - CSH2, GH2, NTF3, NPY genes which belonged to the PI3K/Akt, JAK-STAT, MAPK pathways - CSHL1 regulating cell growth - CLDN19 involved in the cell adhesion - EIF2AK3, EIF2B4 were involved in the GSK3 signaling (cellular proliferation, migration, inflammation, immune responses, glucose regulation and apoptosis) - NPPA belonging to the HIF-1 signaling pathway In conclusion, GEP of BM CD19+ cells demonstrated that 66 genes were robust biomarkers able to distinguish between WM and IgM-MGUS. The negative regulation of translation, pro-/anti-apoptotic processes, Notch signaling pathway, Purine/Pyrimidine metabolism, Sphingolipid metabolism and the regulation of transcription were mostly involved in the comparison between WM and IgM-MGUS. On the other hand, microarray of BM B cell clones (CD45+,CD38+,CD19+,LAIR-1-; CD27dim, IgM+, CD22dim, CD25+) identified groups of genes and pathways deregulated in the comparison between WM and IgM-MGUS. No statistically significant differences of expression were identified between WM vs. IgM-MGUS after correction for multiple testing. Moreover, fold-changes of transcripts whose p-value was lower than a nominal significance level of 5% were higher than 2 (absolute value) in only 4 out of 217 cases. We could suppose that the isolated clonal B-cell populations of WM and IgM-MGUS identified by flow citometry present similar expression signatures. Ongoing experiments of GEP of BM B cell clones vs. BM CD19 depleted cells of WM as well as IgM-MGUS could clarify the gene expression profiles of WM and IgM-MGUS. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Liu-An Zhuo ◽  
Yi-Tao Wen ◽  
Yong Wang ◽  
Zhi-Fang Liang ◽  
Gang Wu ◽  
...  

Abstract Background Long noncoding RNAs (lncRNAs) are involved in numerous physiological functions. However, their mechanisms in acute myocardial infarction (AMI) are not well understood. Methods We performed an RNA-seq analysis to explore the molecular mechanism of AMI by constructing a lncRNA-miRNA-mRNA axis based on the ceRNA hypothesis. The target microRNA data were used to design a global AMI triple network. Thereafter, a functional enrichment analysis and clustering topological analyses were conducted by using the triple network. The expression of lncRNA SNHG8, SOCS3 and ICAM1 was measured by qRT-PCR. The prognostic values of lncRNA SNHG8, SOCS3 and ICAM1 were evaluated using a receiver operating characteristic (ROC) curve. Results An AMI lncRNA-miRNA-mRNA network was constructed that included two mRNAs, one miRNA and one lncRNA. After RT-PCR validation of lncRNA SNHG8, SOCS3 and ICAM1 between the AMI and normal samples, only lncRNA SNHG8 had significant diagnostic value for further analysis. The ROC curve showed that SNHG8 presented an AUC of 0.850, while the AUC of SOCS3 was 0.633 and that of ICAM1 was 0.594. After a pairwise comparison, we found that SNHG8 was statistically significant (PSNHG8-ICAM1 = 0.002; PSNHG8-SOCS3 = 0.031). The results of a functional enrichment analysis of the interacting genes and microRNAs showed that the shared lncRNA SNHG8 may be a new factor in AMI. Conclusions Our investigation of the lncRNA-miRNA-mRNA regulatory networks in AMI revealed a novel lncRNA, lncRNA SNHG8, as a risk factor for AMI and expanded our understanding of the mechanisms involved in the pathogenesis of AMI.


2022 ◽  
Author(s):  
Pingluo Xu ◽  
Shunmou Huang ◽  
Xiaoqiao Zhai ◽  
Xiaofan Li ◽  
Haibo Yang ◽  
...  

Abstract Background: Phytoplasmas induce diseases in more than 1,000 plant species and cause substantial ecological damage and economic losses, but the specific pathogenesis of phytoplasma has not yet been clarified. N6-methyladenosine sequencing (m6A-seq) has been applied mainly to model plants and not to woody plants. Results: In this study, we applied m6A-seq to study changes in m6A modification in the Paulownia fortunei genome after phytoplasma infection. We found that the m6A modification level in seedlings infected with the phytoplasma that causes Paulownia witches' broom (PaWB) was slightly higher than the m6A modification level in PaWB-infected seedlings treated with 60 mg·L−1 methyl methanesulfonate (MMS). MMS has been shown to restore PaWB-infected seedlings to their normal form and no phytoplasma can be detected in MMS-treated PaWB-infected seedlings. RNA sequencing (RNA-seq) and m6A-seq were used to analyze the expression of genes with m6A peaks and m6A motifs in genes, respectively. The correlation analysis between the RNA-seq and m6A-seq data detected that a total of 315 differentially methylated genes were predicted to be significantly differentially expressed at the transcriptome level. The functions of genes related to PaWB were predicted by functional enrichment analysis, and two genes related to maintenance of the basic mechanism of stem cells in shoot apical meristem were discovered. One of the genes encodes the receptor protein kinase CLV2 (Paulownia_LG2G000076), and the other gene encodes the homeobox transcription factor STM (Paulownia_LG15G000976). The m6A modification levels were higher in PaWB-infected seedlings than they were in MMS-treated seedlings. In addition, genes F-box (Paulownia_LG17G000760) and MSH5 (Paulownia_LG8G001160) had exon skipping and mutually exclusive exon types of alternative splicing in PaWB-infected seedling treated with MMS. RT-PCR verified that the alternative splicing of these two genes was related to m6A modification. Conclusions: In this study, we applied m6A-seq to determine methylation levels in phytoplasma-infected Paulownia, and combined m6A-seq with transcriptome analysis to screen differentially expressed genes associated with PaWB. Also analyzed the effect of m6A methylation on alternative splicing. In future studies, we plan to verify genes directly related to PaWB and methylation-related enzymes in Paulownia to elucidate the pathogenicity mechanism of PaWB caused by phytoplasma invasion.


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