scholarly journals Comprehensive Analysis of Differentially Expressed mRNA, Non-coding RNA, and Their Competitive Endogenous RNA Network of Pacific Oyster Crassostrea gigas With Different Glycogen Content Between Different Environments

2021 ◽  
Vol 8 ◽  
Author(s):  
Xue Wang ◽  
Weijun Wang ◽  
Zan Li ◽  
Guohua Sun ◽  
Tao Xu ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Signaling Pathway ◽  
Crassostrea Gigas ◽  
Glycogen Content ◽  
Pacific Oyster ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Non Coding Rna ◽  
Huanghai Sea

Glycogen content is a quantitative trait, its phenotype differences are found between individual oysters due to genetic effects and environmental factors which were including food, water temperature, salinity, and so on. In this study, a full sibling family of Pacific oyster Crassostrea gigas showed different phenotypes with high and low glycogen content between South Huanghai Sea (Rizhao offshore area, RZ) and North Huanghai Sea (Kongtong Dao area, KTD), respectively. At the same time, the content of 11 glucogenic amino acids and 13 fatty acids were also significant differences between RZ and KTD. RNA-seq and small RNA-seq technologies were used for transcriptome sequencing and functional enrichment analysis of differentially expressed RNA were used by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. A total of 2,084 mRNAs, 1,080 long non-coding RNAs (lncRNAs), 34 circular RNAs (circRNAs), and 7 microRNAs (miRNAs) were differentially expressed. Based on these differentially expressed genes (DEGs), miRNA target interactions (lncRNA/circRNA–miRNA pairs and miRNA–mRNA pairs) were predicted using the miRanda software. The differentially expressed mRNAs in this network were mainly shown to be involved in calcium signaling pathway and insulin signaling pathway. These findings could help to speculate that environmental factors may be epigenetically regulated by non-coding RNA in C. gigas, thereby further affecting glycogen content.

scholarly journals The Kinome of Pacific Oyster Crassostrea gigas, Its Expression during Development and in Response to Environmental Factors

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0155435 ◽  
Author(s):  
Yanouk Epelboin ◽  
Laure Quintric ◽  
Eric Guévélou ◽  
Pierre Boudry ◽  
Vianney Pichereau ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Crassostrea Gigas ◽  
Pacific Oyster

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 Aberrant expression of long non-coding RNA in thyroid neoplasms

2019 ◽  
pp. 17-25
Author(s):  
В.Д. Якушина ◽  
А.С. Танас ◽  
А.В. Лавров
Keyword(s):  
Thyroid Cancer ◽  
Signaling Pathway ◽  
In Silico ◽  
Thyroid Nodules ◽  
Differentially Expressed ◽  
Follicular Variant ◽  
Aberrant Expression ◽  
Lncrna Expression ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Актуальность. Длинные некодирующие РНК (днРНК) при раке щитовидной железы плохо изучены; не известны днРНК, общие и специфичные для фолликулярного и классического вариантов папиллярного рака, не установлены днРНК, аберрантно экспрессированные при других основных субтипах злокачественных новообразований щитовидной железы, а также при доброкачественных новообразованиях. Цель исследования - определить днРНК, аберрантно экспрессированные при фолликулярной аденоме (ФА), фолликулярном раке (ФРЩЖ), фолликулярном и классическом вариантах папиллярного рака (ПРЩЖ), анапластическом раке (АРЩЖ) щитовидной железы. Методы. Проанализирована экспрессия днРНК по данным исследований на микрочипах (8 независимых экспериментов, доступных в GEO) и секвенирования РНК (PRJEB11591 и TCGA-THCA). Исследованы 246 образцов нормальной ткани щитовидной железы, 26 - ФА, 30 - ФРЩЖ, 181 - фолликулярного варианта ПРЩЖ, 481 - классического варианта ПРЩЖ и 49 - АРЩЖ. Для классического и фолликулярного вариантов ПРЩЖ выполнена валидация дифференциальной экспрессии in silico. Потенциальные биологические функции были оценены в результате анализа обогащения коэкспрессированных генов. Результаты. Определены днРНК, дифференциально экспрессированные при ФА, ФРЩЖ, фолликулярном и классическом вариантах ПРЩЖ и АРЩЖ. Выявлены 8 днРНК, экспрессия которых изменена во всех субтипах новообразований щитовидной железы, 22 - общих для ПРЩЖ, 32 - специфичных для классического варианта ПРЩЖ, 1 - специфичная для фолликулярного варианта ПРЩЖ, и 177 - специфичных для АРЩЖ. Статистически значимо дифференциально экспрессированных днРНК в ФРЩ по сравнению с ФА не выявлено. Ранее известные онкогенные и супрессорные днРНК NR2F1-AS1, LINC00511, SLC26A4-AS1, CRNDE, RMST впервые обнаружены в новообразованиях щитовидной железы. Выявленные днРНК предположительно вовлечены в клеточную адгезию, организацию экстрацеллюлярного матрикса, образование эндодермы, регуляцию клеточного цикла и митоза, полярности клеток, сигнальные пути VEGF и WNT. Выводы. Установлены общие и специфичные паттерны экспрессии днРНК в доброкачественных и злокачественных новообразованиях щитовидной железы. Background. Long non-coding RNA (lncRNA) in thyroid cancer are poorly investigated; no lncRNAs common and specific for the follicular and classical variants of papillary cancer, as well as no lncRNAs aberrantly expressed in benign nodules or other subtypes of thyroid cancer are established. The objective of the study is to determine long noncoding RNAs aberrantly expressed in follicular adenoma (FA), follicular carcinoma (FTC), follicular and classical variants of papillary carcinoma (PTC), anaplastic carcinoma (ATC). Methods. lncRNA expression was analyzed in dataset of Microarray (8 independent experiments available in GEO) and RNA-seq studies (PRJEB11591 and TCGA-THCA). In total, 246 samples of normal thyroid tissue, 26 FAs, 30 FTCs, 181 follicular variant PTCs, 481 classic variant PTCs and 49 ATCs were examined. In silico validation was performed. Potential biological functions were assessed by enrichment analysis of coexpressed genes. Results. LncRNAs differentially expressed in FA, FTC, follicular, and classical variants of PTC, and ATC are identified. There are 8 lncRNAs common for all investigated thyroid nodules, 22 common for PTC, 32 specific for classical PTC, 1 specific for follicular variant of PTC, and 177 specific for ATC. No lncRNA significantly differentially expressed in FTC compared to FA is identified. The previously described oncogenic and suppressor lncRNAs NR2F1-AS1, LINC00511, SLC26A4-AS1, CRNDE, RMST are detected in thyroid carcinomas for the first time. Identified lncRNA are putatively involved in cell adhesion, extracellular matrix organization, endoderm formation, VEGF signaling pathway, WNT signaling pathway and cell polarity, cell cycle and mitosis. Conclusion. The general and specific patterns of lncRNA expression in benign and malignant thyroid nodules are established.

Expression profile analysis of Differentially Expressed Genes in Human Coronary Artery Endothelial Cells Induced by Serum from Kawasaki Disease: A preliminary study

2020 ◽  
Author(s):  
Xue Fan ◽  
Meng Li ◽  
Min Xiao ◽  
Cong Liu ◽  
Mingguo Xu
Keyword(s):  
Endothelial Cells ◽  
Coronary Artery ◽  
Kawasaki Disease ◽  
Signaling Pathway ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
Healthy Children ◽  
Rna Seq ◽  
Human Coronary Artery

Abstract Background: Kawasaki disease (KD) leads to coronary artery damage and the etiology of KD is unknown. The present study was designed to explore the differentially expressed genes (DEGs) in KD serum-induced human coronary artery endothelial cells (HCAECs) by RNA-sequence (RNA-seq). Methods: HCAECs were stimulated with serum (15% (v/v)), which were collected from 20 healthy children and 20 KD patients, for 24 hours. DEGs were then detected and analyzed by RNA-seq and bioinformatics analysis. Results: The expression of SMAD1, SMAD6, CD34, CXCL1, PITX2, and APLN was validated by qPCR. 102 genes, 59 up-regulated and 43 down-regulated genes, were significantly differentially expressed in KD groups. GO enrichment analysis showed that DEGs were enriched in cellular response to cytokines, cytokine-mediated signaling pathway, and regulation of immune cells migration and chemotaxis. KEGG signaling pathway analysis showed that DEGs were mainly involved in cytokine−cytokine receptor interaction, chemokine signaling pathway, and TGF−β signaling pathway. Besides, the mRNA expression levels of SMAD1, SMAD6, CD34, CXCL1, and APLN in the KD group were significantly up-regulated compared with the normal group, whilePITX2 was significantly down-regulated. Conclusion: 102 DEGs in KD serum-induced HCAECs were identified, and six new targets were proposed as potential indicators of KD.

scholarly journals Genome-wide analysis of differentially expressed mRNAs, lncRNAs, and circRNAs in chicken bursae of Fabricius during infection with very virulent infectious bursal disease virus

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Xuewei Huang ◽  
Junyan Zhang ◽  
Zengsu Liu ◽  
Meng Wang ◽  
Xiaolong Fan ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Disease Virus ◽  
Infectious Bursal Disease Virus ◽  
Expression Profiles ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Bursa Of Fabricius ◽  
Infectious Bursal Disease ◽  
Non Coding Rna ◽  
Bursal Disease

Abstract Background Infectious bursal disease virus (IBDV) causes acute, highly contagious, immunosuppressive, and lethal infectious disease in young chickens and mainly infects the bursa of Fabricius (BF). To investigate interactions between IBDV and its host, RNA sequencing was applied to analyze the responses of the differentially expressed transcriptional profiles of BF infected by very virulent IBDV (vvIBDV). Results In total, 317 upregulated and 94 downregulated mRNAs were found to be significantly differentially expressed in infected chickens, compared to controls. Long non-coding RNA (lncRNA) and circular RNA (circRNA) alterations were identified in IBDV-infected chickens, and significantly different expression was observed in 272 lncRNAs and 143 circRNAs. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to assess the functions of significantly dysregulated genes, which showed that the JAK-STAT signaling pathway, the NOD-like receptor signaling pathway, and apoptosis may be activated by IBDV infection. We predicted interactions between differentially expressed genes and produced lncRNA-mRNA and circRNA-miRNA-mRNA regulator network. Conclusions The present study identified the expression profiles of mRNAs, lncRNAs, and circRNAs during vvIBDV infection and provides new insights into the pathogenesis of IBDV and antiviral immunity of the host.

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.

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