Molecular basis of sex and reproductive status in breeding zebrafish

2007 ◽  
Vol 30 (2) ◽  
pp. 111-122 ◽  
Author(s):  
E. M. Santos ◽  
V. L. Workman ◽  
G. C. Paull ◽  
A. L. Filby ◽  
K. J. W. Van Look ◽  
...  
Keyword(s):  
Molecular Basis ◽  
Molecular Mechanisms ◽  
Protein Biosynthesis ◽  
Expression Profiles ◽  
Strong Relationship ◽  
Gene Families ◽  
Reproductive Status ◽  
Differentially Expressed ◽  
Biological Processes ◽  
Real Time Quantitative Pcr

The zebrafish ( Danio rerio) is used extensively as a model species for studies on vertebrate development and for assessing chemical effects on reproduction. Despite this, the molecular mechanisms controlling zebrafish reproduction are poorly understood. We analyzed the transcriptomic profiles of the gonads of individual zebrafish, using a 17k oligonucleotide microarray, to define the molecular basis of sex and reproductive status in sexually mature fish. The gonadal transcriptome differed substantially between sexes. Among the genes overexpressed in females, 11 biological processes were overrepresented including mitochondrion organization and biogenesis, and cell growth and/or maintenance. Among the genes overexpressed in males, six biological processes were overrepresented including protein biosynthesis and protein metabolism. Analysis of the expression of gene families known to be involved in reproduction identified a number of genes differentially expressed between ovaries and testes including a number of sox genes and genes belonging to the insulin-like growth factor and the activin-inhibin pathways. Real-time quantitative PCR confirmed the expression profiles for nine of the most differentially expressed genes and indicated that many transcripts are likely to be switched off in one of the sexes in the gonads of adult fish. Significant differences were seen between the gonad transcriptomes of individual reproductively active females reflecting their stage of maturation, whereas the testis transcriptomes were remarkably similar between individuals. In summary, we have identified molecular processes associated with (gonadal) sex specificity in breeding zebrafish and established a strong relationship between individual ovarian transcriptomes and reproductive status in females.

Comprehensive analysis of differentially expressed long noncoding RNAs, miRNAs and mRNAs in breast cancer brain metastasis

Epigenomics ◽  
2021 ◽  
Author(s):  
Meng An ◽  
Xiaowen Zang ◽  
Jimin Wang ◽  
Jie Kang ◽  
Xiaoyu Tan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Brain Metastasis ◽  
Noncoding Rna ◽  
Molecular Mechanisms ◽  
Interaction Analysis ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Protein Protein Interaction ◽  
Real Time Quantitative Pcr ◽  
Breast Cancer Brain Metastasis

Aim: To delineate the transcriptomic landscape and potential molecular mechanisms of breast cancer brain metastasis (BCBM). Materials & methods: Whole-transcriptome sequencing was performed to identify long noncoding RNA (lncRNA), miRNA and mRNA expression profiles associated with BCBM. Results: A total of 739 differentially expressed lncRNAs, 115 differentially expressed miRNAs and 5749 differentially expressed mRNAs were identified in 231-BR cells compared with MDA-MB-231 cells. Real-time quantitative PCR results revealed the expression levels of candidate molecules were consistent with their correspondence RNA-seq data. Protein–protein interaction analysis identified some hub genes associated with BCBM, such as PTBP1, NUP98 and HYOU1. LncRNA-miRNA-mRNA network highlighted a potential mechanism of BCBM in which lncRNA FIRRE and RP11-169F17.1 sponging hsa-miR-501-5p to regulate the expression of MMS19, PTBP1 and NUP98. Conclusion: This study provides a framework for better understanding molecular mechanisms of BCBM.

scholarly journals Transcriptome analysis reveals potential function of long non-coding RNAs in 20-hydroxyecdysone regulated autophagy in Bombyx mori

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Huili Qiao ◽  
Jingya Wang ◽  
Yuanzhuo Wang ◽  
Juanjuan Yang ◽  
Bofan Wei ◽  
...  
Keyword(s):  
Bombyx Mori ◽  
Target Gene ◽  
Fat Body ◽  
Expression Profiles ◽  
Functional Characterization ◽  
Differentially Expressed ◽  
Post Injection ◽  
Biological Processes ◽  
Potential Target ◽  
Non Coding Rnas

Abstract Background 20-hydroxyecdysone (20E) plays important roles in insect molting and metamorphosis. 20E-induced autophagy has been detected during the larval–pupal transition in different insects. In Bombyx mori, autophagy is induced by 20E in the larval fat body. Long non-coding RNAs (lncRNAs) function in various biological processes in many organisms, including insects. Many lncRNAs have been reported to be potential for autophagy occurrence in mammals, but it has not been investigated in insects. Results RNA libraries from the fat body of B. mori dissected at 2 and 6 h post-injection with 20E were constructed and sequenced, and comprehensive analysis of lncRNAs and mRNAs was performed. A total of 1035 lncRNAs were identified, including 905 lincRNAs and 130 antisense lncRNAs. Compared with mRNAs, lncRNAs had longer transcript length and fewer exons. 132 lncRNAs were found differentially expressed at 2 h post injection, compared with 64 lncRNAs at 6 h post injection. Thirty differentially expressed lncRNAs were common at 2 and 6 h post-injection, and were hypothesized to be associated with the 20E response. Target gene analysis predicted 6493 lncRNA-mRNA cis pairs and 42,797 lncRNA-mRNA trans pairs. The expression profiles of LNC_000560 were highly consistent with its potential target genes, Atg4B, and RNAi of LNC_000560 significantly decreased the expression of LNC_000560 and Atg4B. These results indicated that LNC_000560 was potentially involved in the 20E-induced autophagy of the fat body by regulating Atg4B. Conclusions This study provides the genome-wide identification and functional characterization of lncRNAs associated with 20E-induced autophagy in the fat body of B. mori. LNC_000560 and its potential target gene were identified to be related to 20-regulated autophagy in B. mori. These results will be helpful for further studying the regulatory mechanisms of lncRNAs in autophagy and other biological processes in this insect model.

scholarly journals Transcriptome analysis for the restrained stem development of the wheat mutant dms

2017 ◽  
Vol 47 (12) ◽  
Author(s):  
Ruishi He ◽  
Xinxin Zhu ◽  
Qiaoyun Li ◽  
Yumei Jiang ◽  
Dongyan Yu ◽  
...  
Keyword(s):  
Molecular Basis ◽  
Expression Profiles ◽  
Triticum Aestivum L ◽  
Sequencing Analysis ◽  
Biological Processes ◽  
Causal Factors ◽  
Qrt Pcr ◽  
Stem Development ◽  
Wheat Mutant ◽  
Phytohormone Signaling

ABSTRACT: Wheat (Triticum aestivum L.) stem development significantly affects grain yield. The dwarf plants (D) of wheat mutant dms was less than 30cm. Here, we were to explore the molecular basis for the restrained stem development of the dwarf plants. The results were reached by compare the young spikes and stems transcriptomes of the tall (T) and D plants of mutant dms. We identified 663 genes highly expressed in stem tips. We identified 997 differentially expressed genes (DEGs) in stem tips between T and D, 403 DEGs were significantly related with stem development. Most biological processes in stem tips on dwarf plants were significantly suppressed, such as phytohormone signaling etc. The sequencing analysis results were confirmed by quantitatively analysis the expression profiles of fourteen key DEGs via real-time QRT-PCR. We identified a group genes related to wheat stem development, identified a group DEGs related to the restrained stem development of D plants of dms. The suppressed phytohormone signaling, carbohydrate transport and metabolism were the major causal factors leading to dwarf plants of D. Our dataset provides a useful resource for investigating wheat stem development.

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

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.

scholarly journals Insight into Molecular Profile Changes after Skeletal Muscle Contusion Using Microarray and Bioinformatics Analyses

2020 ◽  
Author(s):  
Na Li ◽  
Ru-feng Bai ◽  
Chun Li ◽  
Li-hong Dang ◽  
Qiu-xiang Du ◽  
...  
Keyword(s):  
Gene Expression ◽  
Network Analysis ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Healing Process ◽  
Differentially Expressed ◽  
Molecular Profile ◽  
Wound Age ◽  
Functional Modules

Abstract Background: Muscle trauma frequently occurs in daily life. However, the molecular mechanisms of muscle healing, which partly depend on the extent of the damage, are not well understood. This study aimed to investigate gene expression profiles following mild and severe muscle contusion, and to provide more information about the molecular mechanisms underlying the repair process.Methods: A total of 33 rats were divided randomly into control (n = 3), mild contusion (n = 15), and severe contusion (n = 15) groups; the contusion groups were further divided into five subgroups (1, 3, 24, 48, and 168 h post-injury; n = 3 per subgroup). Then full genome microarray of RNA isolated from muscle tissue was performed to access the gene expression changes during healing process.Results: A total of 2,844 and 2,298 differentially expressed genes were identified in the mild and severe contusion groups, respectively. The analysis of the overlapping differentially expressed genes showed that there are common mechanisms of transcriptomic repair of mild and severe contusion within 48 h post-contusion. This was supported by the results of principal component analysis, hierarchical clustering, and weighted gene co‐expression network analysis of the 1,620 coexpressed genes in mildly and severely contused muscle. From these analyses, we discovered that the gene profiles in functional modules and temporal clusters were similar between the mild and severe contusion groups; moreover, the genes showed time-dependent patterns of expression, which allowed us to identify useful markers of wound age. We then performed an analysis of the functions of genes (including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway annotation, and protein–protein interaction network analysis) in the functional modules and temporal clusters, and the hub genes in each module–cluster pair were identified. Interestingly, we found that genes downregulated within 24−48 h of the healing process were largely associated with metabolic processes, especially oxidative phosphorylation of reduced nicotinamide adenine dinucleotide phosphate, which has been rarely reported. Conclusions: These results improve our understanding of the molecular mechanisms underlying muscle repair, and provide a basis for further studies of wound age estimation.

A Comprehensive Data Analysis of Differentially Regulated Genes in Melanoma

2020 ◽  
Author(s):  
Yanjie Han ◽  
Xinxin Li ◽  
Jiliang Yan ◽  
Chunyan Ma ◽  
Xin Wang ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Growth Factor Receptor ◽  
Principal Component ◽  
Distant Metastases ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Ppi Networks

Abstract Background: Melanoma is the most deadly tumor in skin tumors and is prone to distant metastases. The incidence of melanoma has increased rapidly in the past few decades, and current trends indicate that this growth is continuing. This study was aimed to explore the molecular mechanisms of melanoma pathogenesis and discover underlying pathways and genes associated with melanoma.Methods: We used high-throughput expression data to study differential expression profiles of related genes in melanoma. The differentially expressed genes (DEGs) of melanoma in GSE15605, GSE46517, GSE7553 and the Cancer Genome Atlas (TCGA) datasets were analyzed. Differentially expressed genes (DEGs) were identified by paired t-test. Then the DEGs were performed cluster and principal component analyses and protein–protein interaction (PPI) network construction. After that, we analyzed the differential genes through bioinformatics and got hub genes. Finally, the expression of hub genes was confirmed in the TCGA databases and collected patient tissue samples.Results: Total 144 up-regulated DEGs and 16 down-regulated DEGs were identified. A total of 17 gene ontology analysis (GO) terms and 11 pathways were closely related to melanoma. Pathway of pathways in cancer was enriched in 8 DEGs, such as junction plakoglobin (JUP) and epidermal growth factor receptor (EGFR). In the PPI networks, 9 hub genes were obtained, such as loricrin (LOR), filaggrin (FLG), keratin 5 (KRT5), corneodesmosin (CDSN), desmoglein 1 (DSG1), desmoglein 3 (DSG3), keratin 1 (KRT1), involucrin (IVL) and EGFR. The pathway of pathways in cancer and its enriched DEGs may play important roles in the process of melanoma. The hub genes of DEGs may become promising melanoma candidate genes. Five key genes FLG, DSG1, DSG3, IVL and EGFR were identified in the TCGA database and melanoma tissues.Conclusions: The results suggested that FLG, DSG1, DSG3, IVL and EGFR might play important roles and potentially be valuable in the prognosis and treatment of melanoma.

scholarly journals Altered miRNA and mRNA Expression in Sika Deer Skeletal Muscle with Age

Genes ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 172
Author(s):  
Boyin Jia ◽  
Yuan Liu ◽  
Qining Li ◽  
Jiali Zhang ◽  
Chenxia Ge ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Growth And Development ◽  
Molecular Mechanisms ◽  
Muscle Development ◽  
Sika Deer ◽  
De Novo ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Growth Development ◽  
Development And Aging

Studies of the gene and miRNA expression profiles associated with the postnatal late growth, development, and aging of skeletal muscle are lacking in sika deer. To understand the molecular mechanisms of the growth and development of sika deer skeletal muscle, we used de novo RNA sequencing (RNA-seq) and microRNA sequencing (miRNA-seq) analyses to determine the differentially expressed (DE) unigenes and miRNAs from skeletal muscle tissues at 1, 3, 5, and 10 years in sika deer. A total of 51,716 unigenes, 171 known miRNAs, and 60 novel miRNAs were identified based on four mRNA and small RNA libraries. A total of 2,044 unigenes and 11 miRNAs were differentially expressed between adolescence and juvenile sika deer, 1,946 unigenes and 4 miRNAs were differentially expressed between adult and adolescent sika deer, and 2,209 unigenes and 1 miRNAs were differentially expressed between aged and adult sika deer. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that DE unigenes and miRNA were mainly related to energy and substance metabolism, processes that are closely associate with the growth, development, and aging of skeletal muscle. We also constructed mRNA–mRNA and miRNA–mRNA interaction networks related to the growth, development, and aging of skeletal muscle. The results show that mRNA (Myh1, Myh2, Myh7, ACTN3, etc.) and miRNAs (miR-133a, miR-133c, miR-192, miR-151-3p, etc.) may play important roles in muscle growth and development, and mRNA (WWP1, DEK, UCP3, FUS, etc.) and miRNAs (miR-17-5p, miR-378b, miR-199a-5p, miR-7, etc.) may have key roles in muscle aging. In this study, we determined the dynamic miRNA and unigenes transcriptome in muscle tissue for the first time in sika deer. The age-dependent miRNAs and unigenes identified will offer insights into the molecular mechanism underlying muscle development, growth, and maintenance and will also provide valuable information for sika deer genetic breeding.

scholarly journals PSXIII-30 Analysis of gene expression profiles in liver and muscle tissue of pigs divergent in feed efficiency

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 475-475
Author(s):  
Stafford Vigors ◽  
Torres Sweeney
Keyword(s):  
Energy Metabolism ◽  
Immune Function ◽  
Feed Efficiency ◽  
Molecular Mechanisms ◽  
Protein Targeting ◽  
Expression Profiles ◽  
Cell Signalling ◽  
Gene Expression Profiles ◽  
Differentially Expressed ◽  
Joint Analysis

Abstract The improvement of feed efficiency is a key economic goal within the pig production industry. The objective of this study was to examine transcriptomic differences in both the liver and muscle in pigs divergent for feed efficiency, thus improving our understanding of the molecular mechanisms influencing feed efficiency and enabling the identification of candidate biomarkers. Residual feed intake (RFI) was calculated in two populations of pigs from two different farms of origin. The 6 most efficient (LRFI) and 6 least efficient (HRFI) animals in each population were selected for further analysis of Longissimus Dorsi muscle and liver. Three different analysis were performed: 1) Identification of differentially expressed genes (DE) in liver, 2) Identification of DE genes in muscle and 3) Identification of genes commonly DE in both tissues. Hierarchical clustering revealed that transcriptomic data segregated based on the RFI value of the pig rather than farm of origin. A total of 6464 genes were identified as being differentially expressed (DE) in muscle, while 964 genes were identified as being DE in liver. In the muscle-only analysis, genes associated with RNA, protein synthesis and energy metabolism were downregulated in the LRFI animals while in the liver-only analysis, genes associated with cell signalling and lipid homeostasis were upregulated in the LRFI animals. Genes that were commonly DE between muscle and liver (n = 526) were used for the joint analysis. These 526 genes were associated with protein targeting to membrane, extracellular matrix organization and immune function. There are pathways common to both muscle and liver in particular genes associated with immune function. In contrast, tissue-specific pathways contributing to differences in feed efficiency were also identified with genes associated with energy metabolism identified in muscle and lipid metabolism in liver. This study identifies key mechanisms driving changes in feed efficiency in pigs.

scholarly journals Transcriptome profiling of peanut (Arachis hypogaea) gynophores in gravitropic response

2013 ◽  
Vol 40 (12) ◽  
pp. 1249 ◽  
Author(s):  
Hai-fen Li ◽  
Xiao-Ping Chen ◽  
Fang-he Zhu ◽  
Hai-Yan Liu ◽  
Yan-Bin Hong ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Arachis Hypogaea ◽  
Molecular Mechanisms ◽  
Carbon Fixation ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Pentose Phosphate ◽  
Differentially Expressed ◽  
Pcr Analysis

Peanut (Arachis hypogaea L.) produces flowers aerially, but the fruit develops underground. This process is mediated by the gynophore, which always grows vertically downwards. The genetic basis underlying gravitropic bending of gynophores is not well understood. To identify genes related to gynophore gravitropism, gene expression profiles of gynophores cultured in vitro with tip pointing upward (gravitropic stimulation sample) and downward (control) at both 6 and 12 h were compared through a high-density peanut microarray. After gravitropic stimulation, there were 174 differentially expressed genes, including 91 upregulated and 83 downregulated genes at 6 h, and 491 differentially expressed genes including 129 upregulated and 362 downregulated genes at 12 h. The differentially expressed genes identified were assigned to 24 functional categories. Twenty pathways including carbon fixation, aminoacyl-tRNA biosynthesis, pentose phosphate pathway, starch and sucrose metabolism were identified. The quantitative real-time PCR analysis was performed for validation of microarray results. Our study paves the way to better understand the molecular mechanisms underlying the peanut gynophore gravitropism.

scholarly journals Transcriptome and Gene Expression Analysis of Cylas formicarius (Coleoptera: Brentidae) During Different Development Stages

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Juan Ma ◽  
Rongyan Wang ◽  
Xiuhua Li ◽  
Bo Gao ◽  
Shulong Chen
Keyword(s):  
Sweet Potato ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
De Novo ◽  
Average Length ◽  
Expression Profiles ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Cylas Formicarius ◽  
Important Pest

Abstract The sweet potato weevil, Cylas formicarius (F.) (Coleoptera: Brentidae), is an important pest of sweet potato worldwide. However, there is limited knowledge on the molecular mechanisms underlying growth and differentiation of C. formicarius. The transcriptomes of the eggs, second instar larvae, third instar larvae (L3), pupae, females, and males of C. formicarius were sequenced using Illumina sequencing technology for obtaining global insights into developing transcriptome characteristics and elucidating the relative functional genes. A total of 54,255,544 high-quality reads were produced, trimmed, and de novo assembled into 115,281 contigs. 61,686 unigenes were obtained, with an average length of 1,009 nt. Among these unigenes, 17,348 were annotated into 59 Gene Ontology (GO) terms and 12,660 were assigned to 25 Cluster of Orthologous Groups classes, whereas 24,796 unigenes were mapped to 258 pathways. Differentially expressed unigenes between various developmental stages of C. formicarius were detected. Higher numbers of differentially expressed genes (DEGs) were recorded in the eggs versus L3 and eggs versus male samples (2,141 and 2,058 unigenes, respectively) than the others. Genes preferentially expressed in each stage were also identified. GO and pathway-based enrichment analysis were used to further investigate the functions of the DEGs. In addition, the expression profiles of ten DEGs were validated by quantitative real-time PCR. The transcriptome profiles presented in this study and these DEGs detected by comparative analysis of different developed stages of C. formicarius will facilitate the understanding of the molecular mechanism of various living process and will contribute to further genome-wide research.

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