Analysis of Expression Profiles of mRNA and lncRNA in Oviduct During Estrus Phase of Sheep (Ovis Aries) with Two Fecundity (FecB Gene) Genotypes

Abstract Background:In sheep, FecB is the essential biomarker of the fertility, previous researches have provided a detailed insight on the regulation involved estrus phase and FecB in the reproductive-related tissues including hypothalamus, pituitary, and ovary. However, as the host of embryo development and connection between the ovary and the uterus, little is known about the interaction between mRNAs and lncRNAs in sheep oviduct. In the present study, RNA-Seq was performed to identify the transcriptomic profiles of mRNAs and lncRNAs in oviduct during estrus phase of sheep with FecBBB/++ genotypes.Results:In total, 21,863 lncRNAs and 43,674 mRNAs were identified, 57 DE lncRNAs and 637 DE mRNAs were revealed in the comparisons between follicular phase and luteal phase, 26 DE lncRNAs and 421 DE lncRNAs were revealed in the comparisons between FecB BB genotype and FecB ++ genotype. Functional enrichment analysis suggested that GO and KEGG terms related to reproduction such as SAGA complex, ATP-binding cassette (ABC), Nestin, and Hippo signalling pathway. DE-interaction network suggested that LNC_018420 maybe the key regulators related to embryo development in sheep oviduct.Conclusion:This was the first study to reveal the transcriptomic profiles of mRNAs and lncRNAs in the oviduct of FecB BB/++ sheep at estrus phase using RNA-Seq. Our findings can provide new understanding on the molecular mechanisms of mRNAs and lncRNAs underlying sheep embryo development and also opening new lines of investigation in sheep reproduction.

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Identifcation of The Ferroptosis-Related Gene Signature In Placenta of Patients With Early-Onset Preeclampsia

10.21203/rs.3.rs-618453/v1 ◽

2021 ◽

Author(s):

Nana Yang ◽

Qianghua Wang ◽

Biao Ding ◽

Yinging Gong ◽

Yue Wu ◽

...

Keyword(s):

Iron Homeostasis ◽

Molecular Mechanisms ◽

Late Onset ◽

Expression Profiles ◽

Enrichment Analysis ◽

Functional Enrichment Analysis ◽

Functional Enrichment ◽

Differentially Expressed ◽

Ppi Network ◽

Network Analyses

Abstract Background: The accumulation of ROS resulting from upregulated levels of oxidative stress is commonly implicated in preeclampsia (PE). Ferroptosis is a novel form of iron-dependent cell death instigated by lipid peroxidation likely plays important role in PE pathogenesis. This study aims to investigate expression profiles and functions of the ferroptosis-related genes (FRGs) in early- and late-onset preeclampsia.Methods: The gene expression data and clinical information were downloaded from GEO database. The “limma” R package was used for screening differentially expressed genes. GO(Gene Ontology), Kyoto Encyclopedia of Genes and Genomes(KEGG) and protein protein interaction (PPI) network analyses were conducted to investigate the bioinformatics functions and molecular interactions of significantly different FRGs. Quantitative real-time reverse transcriptase PCR was used to verify the expression of hub FRGs in PE.Results: A total number of 4,215 DEGs were identified between EOPE and preterm cases and 3,356 DEGs were found between EOPE and LOPE subtypes. 20 significantly different FRGs were identified in EOPE, while only 3 in LOPE. Functional enrichment analysis revealed that the differentially expressed FRGs was mainly involved in EOPE and enriched in hypoxia- and iron-related pathways, such as response to hypoxia, iron homeostasis and iron ion binding process. The PPI network analysis and verification by RT-qPCR resulted in the identification of the following six interesting FRGs: FTH1, HIF1A, FTL, IREB2, MAPK8 and PLIN2. Conclusions: EOPE and LOPE owned distinct underlying molecular mechanisms and ferroptosis may be mainly implicated in pathogenesis of EOPE. Further studies are necessary for deeper inquiry into placental ferroptosis and its role in the pathogenesis of EOPE.

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Comprehensive Analysis of mRNAs and miRNAs in the Ovarian Follicles of Uniparous and Multiple Goats at Estrus Phase

10.21203/rs.2.15819/v1 ◽

2019 ◽

Author(s):

Xian Zou ◽

Tingting Lu ◽

Zhifeng Zhao ◽

Guangbin Liu ◽

Zhiquan Lian ◽

...

Keyword(s):

Molecular Mechanisms ◽

Steroid Hormone ◽

Follicular Development ◽

Interaction Network ◽

Ovarian Follicles ◽

Rna Seq ◽

Steroid Hormone Biosynthesis ◽

Hormone Biosynthesis ◽

Meat Goat ◽

Estrus Phase

Abstract Background Fertility is an important economic trait in production of meat goat, and follicular development plays an important role in fertility. Despite many mRNAs and microRNAs (miRNAs) have been found in playing critical roles in ovarian biological processes, the interactions between mRNAs and miRNAs in follicular development is not yet completely understood. In addition, less attention has been given to the single follicle (dominant or atretic follicle) in goat. The study was aimed to identify mRNAs, miRNAs and signaling pathways as well as their interaction networks in the ovarian follicles (large follicles and small follicles) of multiple and uniparous goats (Chuanzhong Black Goats) at estrus phase by using a deep RNA-sequencing (RNA-seq) method.Results The result showed that there were more large follicles in multiple than in uniparous goats ( P <0.05), while no difference was observed in small follicles between them ( P >0.05). For the small follicles of multiple and uniparous goats at estrus phase, 289 differentially expressed mRNAs (DEmRNAs) and 16 DEmiRNAs were identified; and for the large follicles, 195 DEmRNAs and 7 DEmiRNAs were identified. Ovarian steroidogenesis and steroid hormone biosynthesis were significantly enriched in small follicles, while ABC transporters and steroid hormone biosynthesis in large follicles. The results of qRT-PCR were generally consistent with the RNA-seq data. The mRNA-miRNA interaction network showed that CD36 (miR-122, miR-200a, miR-141), TNFAIP6 (miR-141, miR-200a, miR-182), CYP11A1 (miR-122), SERPINA5 (miR-1, miR-206, miR-133a-3p, miR-133b) and PTGFR (miR-182, miR-122) might be related to fertility, but need further verification.Conclusion This study provides the first identification of the DEmRNAs and DEmiRNAs as well as their interactions in the follicles of multiple and uniparous goats at estrus phase by using RNA-seq technology. These analyses provide new clues to uncover molecular mechanisms and signaling networks of goat reproduction which could be potentially used to increase ovulation rate and kidding rate in goat.

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Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach

BioMed Research International ◽

10.1155/2022/1776082 ◽

2022 ◽

Vol 2022 ◽

pp. 1-17

Author(s):

Md. Rakibul Islam ◽

Lway Faisal Abdulrazak ◽

Mohammad Khursheed Alam ◽

Bikash Kumar Paul ◽

Kawsar Ahmed ◽

...

Keyword(s):

Gene Expression ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Interaction Network ◽

Enrichment Analysis ◽

Clinical Information ◽

Gene Expression Omnibus ◽

Hub Genes ◽

New Treatments

Background. Medulloblastoma (MB) is the most occurring brain cancer that mostly happens in childhood age. This cancer starts in the cerebellum part of the brain. This study is designed to screen novel and significant biomarkers, which may perform as potential prognostic biomarkers and therapeutic targets in MB. Methods. A total of 103 MB-related samples from three gene expression profiles of GSE22139, GSE37418, and GSE86574 were downloaded from the Gene Expression Omnibus (GEO). Applying the limma package, all three datasets were analyzed, and 1065 mutual DEGs were identified including 408 overexpressed and 657 underexpressed with the minimum cut-off criteria of ∣ log fold change ∣ > 1 and P < 0.05 . The Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and WikiPathways enrichment analyses were executed to discover the internal functions of the mutual DEGs. The outcomes of enrichment analysis showed that the common DEGs were significantly connected with MB progression and development. The Search Tool for Retrieval of Interacting Genes (STRING) database was used to construct the interaction network, and the network was displayed using the Cytoscape tool and applying connectivity and stress value methods of cytoHubba plugin 35 hub genes were identified from the whole network. Results. Four key clusters were identified using the PEWCC 1.0 method. Additionally, the survival analysis of hub genes was brought out based on clinical information of 612 MB patients. This bioinformatics analysis may help to define the pathogenesis and originate new treatments for MB.

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Comprehensive Analysis of Differentially Expressed Profiles of mRNA, lncRNA, and circRNA in the Uterus of Seasonal Reproduction Sheep

Genes ◽

10.3390/genes11030301 ◽

2020 ◽

Vol 11 (3) ◽

pp. 301 ◽

Cited By ~ 1

Author(s):

Yongfu La ◽

Xiaoyun He ◽

Liping Zhang ◽

Ran Di ◽

Xiangyu Wang ◽

...

Keyword(s):

Thyroid Hormone ◽

Signaling Pathway ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Enrichment Analysis ◽

Functional Enrichment ◽

Differentially Expressed ◽

Seasonal Reproduction ◽

Hormone Synthesis ◽

Long Photoperiod

Photoperiod is one of the important factors leading to seasonal reproduction of sheep. However, the molecular mechanisms underlying the photoperiod regulation of seasonal reproduction remain poorly understood. In this study, we compared the expression profiles of mRNAs, lncRNAs, and circRNAs in uterine tissues from Sunite sheep during three different photoperiods, namely, the short photoperiod (SP), short transfer to long photoperiod (SLP), and long photoperiod (LP). The results showed that 298, 403, and 378 differentially expressed (DE) mRNAs, 171, 491, and 499 DE lncRNAs, and 124, 270, and 400 DE circRNAs were identified between SP and LP, between SP and SLP, and between LP and SLP, respectively. Furthermore, functional enrichment analysis showed that the differentially expressed RNAs were mainly involved in the GnRH signaling pathway, thyroid hormone synthesis, and thyroid hormone signaling pathway. In addition, co-expression networks of lncRNA–mRNA were constructed based on the correlation analysis between the differentially expressed RNAs. Our study provides new insights into the expression changes of RNAs in different photoperiods, which might contribute to understanding the molecular mechanisms of seasonal reproduction in sheep.

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Identification and Interaction Analysis of Significant Genes and MicroRNAs in Pterygium

BioMed Research International ◽

10.1155/2019/2767512 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Siying He ◽

Hui Sun ◽

Yifang Huang ◽

Shiqi Dong ◽

Chen Qiao ◽

...

Keyword(s):

Differentially Expressed Genes ◽

Molecular Mechanisms ◽

Interaction Analysis ◽

Interaction Network ◽

Enrichment Analysis ◽

Functional Enrichment Analysis ◽

Gene Expression Omnibus ◽

Functional Enrichment ◽

Differentially Expressed ◽

Differentially Expressed Mirnas

Purpose. MiRNAs have been widely analyzed in the occurrence and development of many diseases, including pterygium. This study aimed to identify the key genes and miRNAs in pterygium and to explore the underlying molecular mechanisms. Methods. MiRNA expression was initially extracted and pooled by published literature. Microarray data about differentially expressed genes was downloaded from Gene Expression Omnibus (GEO) database and analyzed with the R programming language. Functional and pathway enrichment analyses were performed using the database for Annotation, Visualization and Integrated Discovery (DAVID). The protein-protein interaction network was constructed with the STRING database. The associations between chemicals, differentially expressed miRNAs, and differentially expressed genes were predicted using the online resource. All the networks were constructed using Cytoscape. Results. We found that 35 miRNAs and 301 genes were significantly differentially expressed. Functional enrichment analysis showed that upregulated genes were significantly enriched in extracellular matrix (ECM) organization, while downregulated genes were mainly involved in cell death and apoptotic process. Finally, we concluded the chemical-gene affected network, miRNA-mRNA interacted networks, and significant pathway network. Conclusion. We identified lists of differentially expressed miRNAs and genes and their possible interaction in pterygium. The networks indicated that ECM breakdown and EMT might be two major pathophysiological mechanisms and showed the potential significance of PI3K-Akt signalling pathway. MiR-29b-3p and collagen family (COL4A1 and COL3A1) might be new treatment target in pterygium.

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Comparative RNA-Seq Analysis of High- and Low-Oil Yellow Horn During Embryonic Development

International Journal of Molecular Sciences ◽

10.3390/ijms19103071 ◽

2018 ◽

Vol 19 (10) ◽

pp. 3071 ◽

Cited By ~ 5

Author(s):

Li Wang ◽

Chengjiang Ruan ◽

Lingyue Liu ◽

Wei Du ◽

Aomin Bao

Keyword(s):

Molecular Mechanisms ◽

Developmental Stages ◽

Acyl Carrier Protein ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Enrichment Analysis ◽

Differentially Expressed ◽

Rna Seq ◽

Oil Accumulation ◽

Carboxylase Activity

Yellow horn (Xanthoceras sorbifolium Bunge) is an endemic oil-rich shrub that has been widely cultivated in northern China for bioactive oil production. However, little is known regarding the molecular mechanisms that contribute to oil content in yellow horn. Herein, we measured the oil contents of high- and low-oil yellow horn embryo tissues at four developmental stages and investigated the global gene expression profiles through RNA-seq. The results found that at 40, 54, 68, and 81 days after anthesis, a total of 762, 664, 599, and 124 genes, respectively, were significantly differentially expressed between the high- and low-oil lines. Gene ontology (GO) enrichment analysis revealed some critical GO terms related to oil accumulation, including acyl-[acyl-carrier-protein] desaturase activity, pyruvate kinase activity, acetyl-CoA carboxylase activity, and seed oil body biogenesis. The identified differentially expressed genes also included several transcription factors, such as, AP2-EREBP family members, B3 domain proteins and C2C2-Dof proteins. Several genes involved in fatty acid (FA) biosynthesis, glycolysis/gluconeogenesis, and pyruvate metabolism were also up-regulated in the high-oil line at different developmental stages. Our findings indicate that the higher oil accumulation in high-oil yellow horn could be mostly driven by increased FA biosynthesis and carbon supply, i.e. a source effect.

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Identification of potential specific biomarkers and key signaling pathways between osteogenic and adipogenic differentiation of hBMSCs for osteoporosis therapy

10.21203/rs.3.rs-43532/v1 ◽

2020 ◽

Author(s):

Jianjun Wu ◽

Peian Cai ◽

Zhenhui Lu ◽

Zhi Zhang ◽

Xixi He ◽

...

Keyword(s):

Signaling Pathways ◽

Signaling Pathway ◽

Expression Profiles ◽

Adipogenic Differentiation ◽

Interaction Network ◽

Enrichment Analysis ◽

Functional Enrichment ◽

Pathological Feature ◽

Osteoporosis Therapy ◽

Bone Mesenchymal Stem Cells

Abstract Background: The differentiation of bone mesenchymal stem cells (BMSCs) into adipogenesis (AD) rather than osteogenesis (OS) is an important pathological feature of osteoporosis. Illuminating the detailed mechanisms of the differentiation of BMSCs into OS and AD would contribute to the interpretation of osteoporosis pathology.Methods: To identify the regulated mechanism in lineage commitment of the BMSCs into OS and AD in the early-stages, the gene expression profiles with temporal series were downloaded to reveal the distinct fates when BMSCs adopt a committed lineage. For both OS and AD lineages, the profiles of day 2–4 were compared with day 0 to screen the differentially expressed genes (DEGs), respectively. Next, the functional enrichment analysis was utilized to find out the biological function, and Protein-Protein Interaction network to predict the central genes. Finally, experiments were performed to verify our finding.Results: FoxO signaling pathway with central genes like FoxO3, IL6 and CAT, is the crucial mechanism of OS, while Rap1 signaling pathway of VEGFA and FGF2 enrichment is more significant for AD. Besides, PI3K-Akt signaling pathway might serves as the latent mechanism about the initiation of differentiation of BMSCs into multiple lineages.Conclusion: Above hub genes and early-responder signaling pathways control osteogenic and adipogenic fates of BMSCs, which maybe mechanistic models clarifying the changes of bone metabolism in the clinical progress of osteoporosis. The findings provide a crucial reference for the prevention and therapy of osteoporosis.

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Hub Genes of Stroke Identified by Weighted Gene Co-expression Network Analysis

10.21203/rs.3.rs-38160/v1 ◽

2020 ◽

Author(s):

Junhong Li ◽

Yang Zhai ◽

Peng Wu ◽

Yueqiang Hu ◽

Wei Chen ◽

...

Keyword(s):

Gene Expression ◽

Network Analysis ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Enrichment Analysis ◽

Functional Enrichment ◽

Common Disease ◽

Hub Genes ◽

Neuron Death ◽

Roc Curve Analysis

Abstract BACKGROUD: Microarray-based gene expression profiling is widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) links microarray data directly to clinical traits and identifies rules for predicting pathological stage and prognosis of disease.WGCNA is useful in understandingmany biological processes. Stroke is a common disease worldwide, however, molecular mechanisms of its pathogenesis are largely unknown. The aim of this study was to construct gene co-expression networks for identification of key modules and hub genes associated with stroke pathogenesis.METHODS: Gene microarray expression profiles of stroke samples were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by the limma package in R software. WGCNA was used to construct free-scale gene co-expression networks to explore the associations between gene sets and clinical features, and to identify key modules and hub genes. Subsequently, functional enrichment analyses were performed. Further, receiver operating characteristic (ROC) curve analysis was carried out to validate expression of hub genes and literature validation was performed as well.RESULTS: A total of 11,747 most variant genes were used for co-expression network construction. Pink and yellow modules were significantly correlated to stroke pathogenesis. Functional enrichment analysis showed that the pink module was mainly involved in regulation of neuron regeneration, and repair of DNA damage.On the other hand, yellow module was mainly enriched in ion transport system dysfunction which was correlated with neuron death. A total of eight hub genes (PRR11, NEDD9, Notch2, RUNX1-IT1, ANP32A-IT1, ASTN2, SAMHD1 and STIM1) were identified and validated at transcriptional levels and through existing literature.CONCLUSION: The eight hub genes (PRR11, NEDD9, Notch2, RUNX1-IT1, ANP32A-IT1, ASTN2, SAMHD1 and STIM1) identified in the study are potentialbiomarkers and therapeutic targets for effective diagnosis and treatment of stroke.

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Comprehensive Expression Profiling Analysis of Pituitary Indicates that circRNA Participates in the Regulation of Sheep Estrus

Genes ◽

10.3390/genes10020090 ◽

2019 ◽

Vol 10 (2) ◽

pp. 90 ◽

Cited By ~ 3

Author(s):

Xiaoyue Li ◽

Cunyuan Li ◽

Junchang Wei ◽

Wei Ni ◽

Yueren Xu ◽

...

Keyword(s):

Expression Profiles ◽

Interaction Network ◽

Enrichment Analysis ◽

Circular Rna ◽

Differentially Expressed ◽

Rna Seq ◽

Endocrine Organ ◽

Reverse Transcription Quantitative Pcr ◽

Significant Difference ◽

Profiling Analysis

The pituitary gland is the most important endocrine organ that mainly regulates animal estrus by controlling the hormones synthesis. There is a significant difference between the estrus state and anestrus state of sheep pituitary system. Here, we studied the circular RNA (circRNA) expression profiles of the anterior pituitary of estrus and anestrus sheep using RNA-seq technology. Through this study, we identified a total of 12,468 circRNAs and 9,231 differentially expressed circRNAs in the estrus and anestrus pituitary system of sheep. We analyzed some differentially expressed circRNAs by reverse transcription quantitative-PCR (RT-qPCR), and some circRNAs were demonstrated using RNase-R+ resistance experiments. CircRNAs involving the regulation of estrus-related terms and pathways are enriched by using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. In addition, we also predicted partial microRNA-circRNA interaction network for circRNAs that regulate sheep estrus. Overall, this study explored a potential substantial role played by circRNAs involved in pituitary regulation on sheep estrus and proposed new questions for further study.

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Identification of potential specific biomarkers and key signaling pathways between osteogenic and adipogenic differentiation of hBMSCs for osteoporosis therapy

Journal of Orthopaedic Surgery and Research ◽

10.1186/s13018-020-01965-3 ◽

2020 ◽

Vol 15 (1) ◽

Author(s):

Jianjun Wu ◽

Peian Cai ◽

Zhenhui Lu ◽

Zhi Zhang ◽

Xixi He ◽

...

Keyword(s):

Signaling Pathways ◽

Signaling Pathway ◽

Expression Profiles ◽

Adipogenic Differentiation ◽

Interaction Network ◽

Enrichment Analysis ◽

Functional Enrichment ◽

Pathological Feature ◽

Osteoporosis Therapy ◽

Bone Mesenchymal Stem Cells

Abstract Background The differentiation of bone mesenchymal stem cells (BMSCs) into adipogenesis (AD) rather than osteogenesis (OS) is an important pathological feature of osteoporosis. Illuminating the detailed mechanisms of the differentiation of BMSCs into OS and AD would contribute to the interpretation of osteoporosis pathology. Methods To identify the regulated mechanism in lineage commitment of the BMSCs into OS and AD in the early stages, the gene expression profiles with temporal series were downloaded to reveal the distinct fates when BMSCs adopt a committed lineage. For both OS and AD lineages, the profiles of days 2–4 were compared with day 0 to screen the differentially expressed genes (DEGs), respectively. Next, the functional enrichment analysis was utilized to find out the biological function, and protein-protein interaction network to predict the central genes. Finally, experiments were performed to verify our finding. Results FoxO signaling pathway with central genes like FoxO3, IL6, and CAT is the crucial mechanism of OS, while Rap1 signaling pathway of VEGFA and FGF2 enrichment is more significant for AD. Besides, PI3K-Akt signaling pathway might serve as the latent mechanism about the initiation of differentiation of BMSCs into multiple lineages. Conclusion Above hub genes and early-responder signaling pathways control osteogenic and adipogenic fates of BMSCs, which maybe mechanistic models clarifying the changes of bone metabolism in the clinical progress of osteoporosis. The findings provide a crucial reference for the prevention and therapy of osteoporosis.

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