scholarly journals RNA-Seq Reveals the Expression Profiles of Long Non-Coding RNAs in Lactating Mammary Gland from Two Sheep Breeds with Divergent Milk Phenotype

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1565
Author(s):  
Zhiyun Hao ◽  
Yuzhu Luo ◽  
Jiqing Wang ◽  
Jiang Hu ◽  
Xiu Liu ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Signaling Pathway ◽  
Target Genes ◽  
Mammary Epithelial Cells ◽  
Expression Profiles ◽  
Wnt Signaling Pathway ◽  
Mammary Epithelial ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Non Coding Rnas

Long non-coding RNAs (lncRNAs) are a kind of non-coding RNA with >200 nucleotides in length. Some lncRNAs have been proven to have clear regulatory functions in many biological processes of mammals. However, there have been no reports on the roles of lncRNAs in ovine mammary gland tissues. In the study, the expression profiles of lncRNAs were studied using RNA-Seq in mammary gland tissues from lactating Small-Tailed Han (STH) ewes and Gansu Alpine Merino (GAM) ewes with different milk yield and ingredients. A total of 1894 lncRNAs were found to be expressed. Compared with the GAM ewes, the expression levels of 31 lncRNAs were significantly up-regulated in the mammary gland tissues of STH ewes, while 37 lncRNAs were remarkably down-regulated. Gene Ontogeny (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that the target genes of differentially expressed lncRNAs were enriched in the development and proliferation of mammary epithelial cells, morphogenesis of mammary gland, ErbB signaling pathway, and Wnt signaling pathway. Some miRNA sponges of differentially expressed lncRNAs, reported to be associated with lactation and mammary gland morphogenesis, were found in a lncRNA-miRNA network. This study reveals comprehensive lncRNAs expression profiles in ovine mammary gland tissues, thereby providing a further understanding of the functions of lncRNAs in the lactation and mammary gland development of sheep.

scholarly journals Differential Expression Profiles of lncRNA Following LPS-Induced Inflammation in Bovine Mammary Epithelial Cells

2021 ◽  
Vol 8 ◽  
Author(s):  
Jin-Peng Wang ◽  
Qi-Chao Hu ◽  
Jian Yang ◽  
Zhuo-Ma Luoreng ◽  
Xing-Ping Wang ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Target Genes ◽  
Inflammatory Responses ◽  
Mammary Epithelial Cells ◽  
Expression Profiles ◽  
Bovine Mastitis ◽  
Mammary Epithelial ◽  
Bovine Mammary Epithelial Cells ◽  
E Coli ◽  
Epithelial Cell Lines

Bovine mastitis is an inflammatory response of mammary glands caused by pathogenic microorganisms such as Escherichia coli (E. coli). As a key virulence factor of E. coli, lipopolysaccharide (LPS) triggers innate immune responses via activation of the toll-like-receptor 4 (TLR4) signaling pathway. However, the molecular regulatory network of LPS-induced bovine mastitis has yet to be fully mapped. In this study, bovine mammary epithelial cell lines MAC-T were exposed to LPS for 0, 6 and 12 h to assess the expression profiles of long non-coding RNAs (lncRNAs) using RNA-seq. Differentially expressed lncRNAs (DElncRNAs) were filtered out of the raw data for subsequent analyses. A total of 2,257 lncRNAs, including 210 annotated and 2047 novel lncRNAs were detected in all samples. A large proportion of lncRNAs were present in a high abundance, and 112 DElncRNAs were screened out at different time points. Compared with 0 h, there were 22 up- and 25 down-regulated lncRNAs in the 6 h of post-infection (hpi) group, and 27 up- and 22 down-regulated lncRNAs in the 12 hpi group. Compared with the 6 hpi group, 32 lncRNAs were up-regulated and 25 lncRNAs were down-regulated in the 12 hpi group. These DElncRNAs are involved in the regulation of a variety of immune-related processes including inflammatory responses bMECs exposed to LPS. Furthermore, lncRNA TCONS_00039271 and TCONS_00139850 were respectively significance down- and up-regulated, and their target genes involve in regulating inflammation-related signaling pathways (i.e.,Notch, NF-κB, MAPK, PI3K-Akt and mTOR signaling pathway), thereby regulating the occurrence and development of E. coli mastitis. This study provides a resource for lncRNA research on the molecular regulation of bovine mastitis

scholarly journals RNA-sequencing reveals the expression profiles of tsRNAs and their potential carcinogenic role in cholangiocarcinoma

2021 ◽  
Author(s):  
Li-rong Yan ◽  
Ang Wang ◽  
Qian Xu ◽  
Ben-gang Wang
Keyword(s):  
Signaling Pathway ◽  
Rna Sequencing ◽  
High Throughput ◽  
Target Genes ◽  
Expression Profiles ◽  
Biological Effects ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Normal Tissues ◽  
Qrt Pcr

Abstract Background Recently, the incidence of cholangiocarcinoma (CCA) has gradually increased. As CCA has a poor prognosis, the ideal survival rate is scarce for patients. The abnormal expressed tsRNAs may regulate the progression of a variety of tumors, and tsRNAs is expected to become a new diagnostic biomarker of cancer. However, the expression of tsRNAs is obscure and should be elucidated in CCA. Methods High-throughput RNA sequencing technology (RNA-seq) was utilized to determine the overall expression profiles of tsRNAs in 3 pairs CCA and adjacent normal tissues and to screen the tsRNAs that were differentially expressed. The target genes of dysregulated tsRNAs were predicted and the biological effects and potential signaling pathways of these target genes were explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate 11 differentially expressed tRFs with 12 pairs CCA and adjacent normal tissues. Results High-throughput RNA-seq totally demonstrated 535 dysregulated tsRNAs, of which 241 tsRNAs were upregulated and 294 tsRNAs were downregulated in CCA compared with adjacent normal tissues (|log2 (fold change) |≥1 and P value < 0.05). GO and KEGG enrichment analyses indicated that the target genes of dysregulated tRFs (tRF-34-JJ6RRNLIK898HR, tRF-38-0668K87SERM492V and tRF-39-0668K87SERM492E2) were mainly enriched in the Notch signaling pathway, Hippo signaling pathway, cAMP signaling pathway and in growth hormone synthesis, secretion and action, etc. qRT-PCR result showed that tRF-34-JJ6RRNLIK898HR/tRF-38-0668K87SERM492V/tRF-39-0668K87SERM492E2 was down-regulated (P = 0.021) and tRF-20-LE2WMK81 was up-regulated in CCA (P = 0.033). Conclusion Differentially expressed tRFs in CCA are enriched in many pathways associated with neoplasms, which may impact the tumor progression and have potential to be diagnostic biomarkers and therapeutic targets of CCA.

scholarly journals RNA-sequencing reveals the expression profiles of tsRNAs and their potential carcinogenic role in cholangiocarcinoma

2020 ◽  
Author(s):  
Li-rong Yan ◽  
Ang Wang ◽  
Qian Xu ◽  
Ben-gang Wang
Keyword(s):  
Signaling Pathway ◽  
High Throughput ◽  
Target Genes ◽  
Expression Profiles ◽  
Biological Effects ◽  
Differentially Expressed ◽  
P Value ◽  
Hippo Signaling ◽  
Rna Seq ◽  
Normal Tissues

Abstract Background: Recently, the incidence of cholangiocarcinoma (CCA) has gradually increased. As CCA has a poor prognosis, the ideal survival rate is scarce for patients. The abnormal expressed tsRNA may regulate the progression of a variety of tumors, and tsRNA is expected to become a new diagnostic marker of cancer. However, the expression of tsRNA is obscure and should be elucidated in CCA.Methods: We collected CCA tissues and adjacent normal tissues from three patients. High-throughput RNA-seq was utilized to determine the overall expression profiles of tsRNA in CCA and adjacent normal tissues and to screen the tsRNAs that were differentially expressed. The biological effects and potential signaling pathways of dysregulated tsRNAs between the CCA and adjacent normal tissues were explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.Results: High-throughput RNA-seq totally demonstrated 535 dysregulated tsRNAs, of which 241 tsRNAs were upregulated and 294 tsRNAs were downregulated in CCA compared with adjacent normal tissues (|log2 (fold change)| >=1 and p value< 0.05). GO and KEGG enrichment analyses indicated that the target genes of dysregulated tRFs (tRF-34-JJ6RRNLIK898HR, tRF-38-0668K87SERM492V, tRF-39-0668K87SERM492E2) were mainly enriched in the Notch signaling pathway, Hippo signaling pathway, and cAMP signaling pathway and in growth hormone synthesis, secretion and action.Conclusion: Differentially expressed tRFs in CCA are enriched in many pathways associated with neoplasms, which may impact the progression of CCA.

scholarly journals Long Intergenic Non-Coding RNAs in the Mammary Parenchyma and Fat Pad of Pre-Weaning Heifer Calves: Identification and Functional Analysis

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1268
Author(s):  
Shengchao Zhang ◽  
Sibtain Ahmad ◽  
Yuxia Zhang ◽  
Guohua Hua ◽  
Jianming Yi
Keyword(s):  
Mammary Gland ◽  
Crude Protein ◽  
Regulatory Mechanism ◽  
Differentially Expressed ◽  
Milk Replacer ◽  
Rna Seq ◽  
Fat Pad ◽  
Mammary Fat Pad ◽  
Non Coding Rnas ◽  
Gland Development

Enhanced plane of nutrition at pre-weaning stage can promote the development of mammary gland especially heifer calves. Although several genes are involved in this process, long intergenic non-coding RNAs (lincRNAs) are regarded as key regulators in the regulated network and are still largely unknown. We identified and characterized 534 putative lincRNAs based on the published RNA-seq data, including heifer calves in two groups: fed enhanced milk replacer (EH, 1.13 kg/day, including 28% crude protein, 25% fat) group and fed restricted milk replacer (R, 0.45 kg/day, including 20% crude protein, 20% fat) group. Sub-samples from the mammary parenchyma (PAR) and mammary fat pad (MFP) were harvested from heifer calves. According to the information of these lincRNAs’ quantitative trait loci (QTLs), the neighboring and co-expression genes were used to predict their function. By comparing EH vs R, 79 lincRNAs (61 upregulated, 18 downregulated) and 86 lincRNAs (54 upregulated, 32 downregulated) were differentially expressed in MFP and PAR, respectively. In MFP, some differentially expressed lincRNAs (DELs) are involved in lipid metabolism pathways, while, in PAR, among of DELs are involved in cell proliferation pathways. Taken together, this study explored the potential regulatory mechanism of lincRNAs in the mammary gland development of calves under different planes of nutrition.

MicroRNA-432 inhibits milk fat synthesis by targeting SCD and LPL in ovine mammary epithelial cells

2021 ◽  
Author(s):  
Zhiyun Hao ◽  
Yuzhu Luo ◽  
Jiqing Wang ◽  
Jon Hickford ◽  
Huitong Zhou ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Epithelial Cells ◽  
Milk Production ◽  
Milk Fat ◽  
Mammary Epithelial Cells ◽  
Mammary Epithelial ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas ◽  
Fat Synthesis ◽  
Milk Fat Synthesis

In our previous studies, microRNA-432 (miR-432) was found to be one of differentially expressed miRNAs in ovine mammary gland between the two breeds of lactating sheep with different milk production...

scholarly journals Machine learning reduced gene/non-coding RNA features that classify Schizophrenia patients accurately and highlight insightful gene clusters

2020 ◽  
Author(s):  
Yichuan Liu ◽  
Hui-Qi Qu ◽  
Xiao Chang ◽  
Lifeng Tian ◽  
Joseph Glessner ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neurodevelopmental Disorder ◽  
Wnt Signaling Pathway ◽  
Gene Clusters ◽  
Differentially Expressed ◽  
Cell Junction ◽  
Mrna Levels ◽  
Rna Seq ◽  
Non Coding Rna ◽  
Non Coding Rnas

AbstractSchizophrenia (SCZ) is a chronic and severely disabling neurodevelopmental disorder that affects people worldwide. RNA-seq has been a powerful method to detect the differentially expressed genes/non-coding RNAs in patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. In this study, dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals’ was obtained from the CommonMind consortium and analyzed with machine learning methods, including random forest, forward feature selection (ffs), and factor analysis, to reduce the numbers of gene/non-coding RNA feature vectors to overcome overfitting problem and explore involved functional clusters. In 2-fold shuffle testing, the average predictive accuracy for SCZ patients was 67% based on coding genes, and the 96% based on long non-coding RNAs (lncRNAs). Coding genes were further clustered into 14 factors and lncRNAs were clustered into 45 factors to represent the underlying features. The largest contribution factor for coding genes contains number of genes critical in neurodevelopment and previously reported in relation with various brain disorders. Genomic loci of lncRNAs were more insightful, enriched for genes critical in synapse function (p=7.3E-3), cell junction (p=0.017), neuron differentiation (p=8.3E-3), phosphorylation (8.2E-4), and involving the Wnt signaling pathway (p=0.029). Taken together, machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the formers regulate every level of gene expression, not limited to mRNA levels.

scholarly journals Comparative analysis of gene expression profiles in differentiated subcutaneous adipocytes between Jiaxing Black and Large White Pigs

2020 ◽  
Author(s):  
Dawei Zhang ◽  
Wenjing Wu ◽  
Xin Huang ◽  
Ke Xu ◽  
Cheng Zheng ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Expression Profiles ◽  
Mapk Signaling ◽  
Fat Deposition ◽  
Mapk Signaling Pathway ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Domestic Pig ◽  
Large White ◽  
Pig Breeds

Abstract Background: Chinese domestic pig breeds are reputed for pork quality, but their low ratio of lean-to-fat carcass weight decreases production efficiency. A better understanding of the genetic regulation network of SC fat tissue is necessary for the rational selection of Chinese domestic pig breeds. In the present study, SC adipocytes were isolated from Jiaxing Black pigs (a Chinese indigenous pig breed with redundant SC fat deposition) and Large White pigs (a lean-type pig breed with relatively low SC fat deposition) and the expression profiles of mRNAs and lncRNAs were compared by RNA-seq analysis to identify biomarkers correlated with the differences of SC fat deposition between the two breeds.Results: A total of 3,371 differentially expressed genes (DEGs) and 1,182 differentially expressed lncRNAs (DELs) were identified in SC adipocytes between Jiaxing Black (JX) and Large White (LW) pigs, which included 797 upregulated mRNAs, 2,574 downregulated mRNAs, 461 upregulated lncRNAs and 721 downregulated lncRNAs. Gene Ontology and KEGG pathway analyses revealed that the DEGs and DELs were mainly involved in the immune response, cell fate determination, PI3K-Akt signaling pathway and MAPK signaling pathway, which are known to be related to adipogenesis and lipid metabolism. The expression levels of DEGs and DELs according to the RNA-seq data were verified by quantitative PCR, which showed 81.8% consistency. The differences in MAPK pathway activity between JX and LW pigs was confirmed by western blot analysis, with <100-fold elevated p38 phosphorylation in JX pigs.Conclusions: This study offers a detailed characterization of mRNAs and lncRNAs in fat- and lean-type pig breeds. The activity of the MAPK signaling pathway was found to be associated with subcutaneous adipogenesis. These results greatly enhance our understanding of the molecular mechanisms regulating SC fat deposition in pigs.

scholarly journals The Expression of microRNA in Adult Rat Heart with Isoproterenol-Induced Cardiac Hypertrophy

Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1173 ◽  
Author(s):  
Mailin Gan ◽  
Shunhua Zhang ◽  
Yuan Fan ◽  
Ya Tan ◽  
Zhixian Guo ◽  
...  
Keyword(s):  
Cardiac Hypertrophy ◽  
Signaling Pathway ◽  
Natriuretic Peptide ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Pathological Condition ◽  
Wnt Signaling Pathway ◽  
Differentially Expressed ◽  
Mitogen Activated Protein Kinase ◽  
Luciferase Reporter

Cardiac hypertrophy is a common pathological condition and an independent risk factor that triggers cardiovascular morbidity. As an important epigenetic regulator, miRNA is widely involved in many biological processes. In this study, miRNAs expressed in rat hearts that underwent isoprenaline-induced cardiac hypertrophy were identified using high-throughput sequencing, and functional verification of typical miRNAs was performed using rat primary cardiomyocytes. A total of 623 miRNAs were identified, of which 33 were specifically expressed in cardiac hypertrophy rats. The enriched pathways of target genes of differentially expressed miRNAs included the FoxO signaling pathway, dopaminergic synapse, Wnt signaling pathway, MAPK (mitogen-activated protein kinase) signaling pathway, and Hippo signaling pathway. Subsequently, miR-144 was the most differentially expressed miRNA and was subsequently selected for in vitro validation. Inhibition of miR-144 expression in primary myocardial cells caused up-regulation of cardiac hypertrophy markers atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP). The dual luciferase reporter system showed that ANP may be a target gene of miR-144. Long non-coding RNA myocardial infarction associated transcript (LncMIAT) is closely related to heart disease, and here, we were the first to discover that LncMIAT may act as an miR-144 sponge in isoproterenol-induced cardiac hypertrophy. Taken together, these results enriched the understanding of miRNA in regulating cardiac hypertrophy and provided a reference for preventing and treating cardiac hypertrophy.

The role of Stat3 in mammary gland involution: cell death regulator and modulator of inflammation

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Katherine Hughes ◽  
Christine J. Watson
Keyword(s):  
Cell Death ◽  
Transcription Factor ◽  
Mammary Gland ◽  
Mammary Epithelial Cells ◽  
Expression Profiles ◽  
Global Gene Expression ◽  
Mammary Epithelial ◽  
Second Phase ◽  
Independent Manner ◽  
Microarray Analyses

AbstractMammary gland regression post-weaning (involution) is a highly regulated, complicated process in which the transcription factor Stat3 is a key player. Over the last decade, microarray analyses have had a profound impact on our understanding of this role. Studies using mammary epithelial cells in which Stat3 was activated in a ligand-independent manner have allowed direct transcriptional targets of Stat3 to be identified. Additionally, global gene expression changes during involution have been profiled by microarray analyses, which allowed characterization of clusters of genes with distinct expression profiles during the first 4 days of involution. Such expression profiling led to the observation that one of the most strikingly upregulated genes in the absence of Stat3 is the serpin Spi2a. This led to the discovery that mammary epithelial cell lysosomes undergo lysosomal membrane permeablisation and leak cathepsins during involution. Stat3 upregulates the expression of cathepsins B and L within 24 h of weaning and is thus the critical inducer of lysosomal-mediated cell death during this process. In addition to its pivotal role in the control of cell death during involution, microarray-based studies have demonstrated that the expression of acute phase and inflammatory genes is regulated by Stat3 and that mammary epithelial expression of this transcription factor modulates the phenotype of macrophages present in the gland during second phase remodelling. Thus, Stat3 signalling may have effects that are not cell-autonomous, in addition to its cell-autonomous role in involution.

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