scholarly journals LncRNA-mRNA Expression Pattern in Invasive Pituitary Adenomas: A Microarray Analysis

2021 ◽  
Author(s):  
Chao Peng ◽  
Shuaikai Wang ◽  
Jinxiu Yu ◽  
Xiaoyi Deng ◽  
Zhishan Chen ◽  
...  
Keyword(s):  
Pituitary Adenomas ◽  
Roc Analysis ◽  
Gene Prediction ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Significant Differential Expression ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Go Enrichment ◽  
Diagnostic Values

Abstract Backgrounds: Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and progression of various cancer types; however, their roles in the development of invasive pituitary adenomas (PAs) remain to be investigated.Methods: lncRNA microarray was performed in three invasive and three noninvasive PAs. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed, and coexpression networks between lncRNA and mRNA were constructed. Furthermore, three differentially expressed lncRNAs were selected for validation by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) in PA samples. The diagnostic values of these three lncRNAs were further evaluated by receiver operating characteristic (ROC) analysis.Results: A total of 8872 lncRNAs were identified in invasive and paired noninvasive PAs using lncRNA microarray. Among these, the differentially expressed lncRNAs included 81 that were upregulated and 165 that were downregulated. GO enrichment and KEGG pathway analysis showed that these differentially expressed lncRNAs were associated with post-translational modifications of proteins. Furthermore, we performed target gene prediction and coexpression analysis. The interrelationships between the lncRNAs and mRNAs with significant differential expression were identified. Additionally, three differentially expressed lncRNAs were selected for validation in 41 PA samples by qRT-PCR. The expression levels of FAM182B, LOC105371531, and LOC105375785 in the invasive PAs were significantly (P < 0.05) lower than in the noninvasive PAs, and these results were consistent with the microarray data. ROC analysis suggested that FAM182B and LOC105375785 expression levels could be used to distinguish invasive PAs from noninvasive PAs.Conclusion: Our findings demonstrated the lncRNAs expression patterns in invasive PAs. Thus, FAM182B and LOC105375785 may be involved in the invasiveness of PAs and serve as new candidate biomarkers for the diagnosis of invasive PAs.

scholarly journals Screening Key Differentially Expressed Genes in Kawasaki Disease via Integrated Analysis

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Keliang Li ◽  
Yan Jiao ◽  
Jingjing Liang ◽  
Pingping Pan ◽  
Yanji Zhu ◽  
...  
Keyword(s):  
Kawasaki Disease ◽  
Differentially Expressed Genes ◽  
Roc Analysis ◽  
Expression Patterns ◽  
Diagnostic Value ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Go Annotation ◽  
Qrt Pcr

Background: The current study was done to identify key genes associated with Kawasaki disease (KD). Methods: Three datasets were collected from Gene Expression Omnibus (GEO) database. Then, differentially expressed genes (DEGs) analysis, gene ontology (GO) annotation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to determine the expression levels of DEGs in KD. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic value of DEGs. Results: In total, 2923 DEGs (1239 up- and 1684 down-regulated genes) were detected in KD. Ribosome, Leishmaniasis, and Tuberculosis significantly enriched KEGG pathways of DEGs. Six DEGs, including ADM, S100A12, ZNF438, MYD88, FCGR2A, and FCGR3B, were selected for qRT-PCR validation. Except for MYD88, the qRT-PCR results displayed similar expression patterns with that in our integrated analysis. ROC analysis revealed the diagnostic value of the six DEGs. Conclusions: Our study was expected to provide clues toward understanding the pathophysiology of KD inflammation.

scholarly journals Genome-wide analysis of changes in miRNA and target gene expression reveals key roles in heterosis for Chinese cabbage biomass

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Peirong Li ◽  
Tongbing Su ◽  
Deshuang Zhang ◽  
Weihong Wang ◽  
Xiaoyun Xin ◽  
...  
Keyword(s):  
Chinese Cabbage ◽  
Leaf Development ◽  
Target Genes ◽  
Expression Patterns ◽  
Seedling Stage ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Leaf Morphogenesis ◽  
Expression Levels ◽  
Parental Lines

AbstractHeterosis is a complex phenomenon in which hybrids show better phenotypic characteristics than their parents do. Chinese cabbage (Brassica rapa L. spp. pekinensis) is a popular leafy crop species, hybrids of which are widely used in commercial production; however, the molecular basis of heterosis for biomass of Chinese cabbage is poorly understood. We characterized heterosis in a Chinese cabbage F1 hybrid cultivar and its parental lines from the seedling stage to the heading stage; marked heterosis of leaf weight and biomass yield were observed. Small RNA sequencing revealed 63 and 50 differentially expressed microRNAs (DEMs) at the seedling and early-heading stages, respectively. The expression levels of the majority of miRNA clusters in the F1 hybrid were lower than the mid-parent values (MPVs). Using degradome sequencing, we identified 1,819 miRNA target genes. Gene ontology (GO) analyses demonstrated that the target genes of the MPV-DEMs and low parental expression level dominance (ELD) miRNAs were significantly enriched in leaf morphogenesis, leaf development, and leaf shaping. Transcriptome analysis revealed that the expression levels of photosynthesis and chlorophyll synthesis-related MPV-DEGs (differentially expressed genes) were significantly different in the F1 hybrid compared to the parental lines, resulting in increased photosynthesis capacity and chlorophyll content in the former. Furthermore, expression of genes known to regulate leaf development was also observed at the seedling stage. Arabidopsis plants overexpressing BrGRF4.2 and bra-miR396 presented increased and decreased leaf sizes, respectively. These results provide new insight into the regulation of target genes and miRNA expression patterns in leaf size and heterosis for biomass of B. rapa.

scholarly journals miRNA Expression Characterizes Histological Subtypes and Metastasis in Penile Squamous Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1480
Author(s):  
Hiresh Ayoubian ◽  
Joana Heinzelmann ◽  
Sebastian Hölters ◽  
Oybek Khalmurzaev ◽  
Alexey Pryalukhin ◽  
...  
Keyword(s):  
Microarray Data ◽  
Expression Patterns ◽  
Hpv Infection ◽  
Differentially Expressed ◽  
Histological Subtypes ◽  
Specific Expression ◽  
Tissue Samples ◽  
Qrt Pcr ◽  
Differentially Expressed Mirnas ◽  
The Impact

Although microRNAs are described as promising biomarkers in many tumor types, little is known about their role in PSCC. Thus, we attempted to identify miRNAs involved in tumor development and metastasis in distinct histological subtypes considering the impact of HPV infection. In a first step, microarray analyses were performed on RNA from formalin-fixed, paraffin-embedded tumor (22), and normal (8) tissue samples. Microarray data were validated for selected miRNAs by qRT-PCR on an enlarged cohort, including 27 tumor and 18 normal tissues. We found 876 significantly differentially expressed miRNAs (p ≤ 0.01) between HPV-positive and HPV-negative tumor samples by microarray analysis. Although no significant differences were detected between normal and tumor tissue in the whole cohort, specific expression patterns occurred in distinct histological subtypes, such as HPV-negative usual PSCC (95 differentially expressed miRNAs, p ≤ 0.05) and HPV-positive basaloid/warty subtypes (247 differentially expressed miRNAs, p ≤ 0.05). Selected miRNAs were confirmed by qRT-PCR. Furthermore, microarray data revealed 118 miRNAs (p ≤ 0.01) that were significantly differentially expressed in metastatic versus non-metastatic usual PSCC. The lower expression levels for miR-137 and miR-328-3p in metastatic usual PSCC were validated by qRT-PCR. The results of this study confirmed that specific miRNAs could serve as potential diagnostic and prognostic markers in single PSCC subtypes and are associated with HPV-dependent pathways.

scholarly journals Identification of Differentially Expressed Genes in Porcine Ovaries at Proestrus and Estrus Stages Using RNA-Seq Technique

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Songbai Yang ◽  
Xiaolong Zhou ◽  
Yue Pei ◽  
Han Wang ◽  
Ke He ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Hormone Secretion ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
The Novel ◽  
Kegg Pathways ◽  
Go Enrichment ◽  
Single Organism

Estrus is an important factor for the fecundity of sows, and it is involved in ovulation and hormone secretion in ovaries. To better understand the molecular mechanisms of porcine estrus, the expression patterns of ovarian mRNA at proestrus and estrus stages were analyzed using RNA sequencing technology. A total of 2,167 differentially expressed genes (DEGs) were identified (P≤0.05, log2  Ratio≥1), of which 784 were upregulated and 1,383 were downregulated in the estrus compared with the proestrus group. Gene Ontology (GO) enrichment indicated that these DEGs were mainly involved in the cellular process, single-organism process, cell and cell part, and binding and metabolic process. In addition, a pathway analysis showed that these DEGs were significantly enriched in 33 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including cell adhesion molecules, ECM-receptor interaction, and cytokine-cytokine receptor interaction. Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) confirmed the differential expression of 10 selected DEGs. Many of the novel candidate genes identified in this study will be valuable for understanding the molecular mechanisms of the sow estrous cycle.

scholarly journals Microarray Profiling of TGF-β1-Induced Long Non-Coding RNA Expression Patterns in Human Lung Bronchial Epithelial BEAS-2B Cells

2018 ◽  
Vol 50 (6) ◽  
pp. 2071-2085 ◽  
Author(s):  
Wentao Hu ◽  
Weiwei Pei ◽  
Lin Zhu ◽  
Jing Nie ◽  
Hailong Pei ◽  
...  
Keyword(s):  
Human Lung ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Bronchial Epithelial ◽  
Qrt Pcr ◽  
Microarray Profiling ◽  
Underlying Mechanisms ◽  
Pathway Analyses ◽  
Trans Regulation ◽  
Tgf Β1

Background/Aims: TGF-β1 mediated radiation-induced bystander effects (RIBE) have been linked with malignant transformation and tumorigenesis. However, the underlying mechanisms are not fully understood. Methods: To reveal new molecules of regulatory functions in this process, lncRNA microarray was performed to profile both lncRNA and mRNA expression patterns in human lung bronchial epithelial BEAS-2B cells treated with TGF-β1 at a concentration measured in the medium conditioned by directly irradiated BEAS-2B cells. The potential functions of the differentially expressed lncRNAs were predicted by GO and KEGG pathway analyses of their co-expressed mRNAs. Cis- and trans-regulation of the lncRNAs were analyzed and the interaction networks were constructed using Cytoscape. qRT-PCR was conducted to validate the results of microarray profiling. CCK-8 assay was employed for functional validation of 3 identified lncRNAs. Results: 224 lncRNAs were found to be dysregulated, among which 6 lncRNAs were chosen for expression validation by qRT-PCR assay. Pathway analyses showed that differentially expressed lncRNAs are highly correlated with cell proliferation, transformation, migration, etc. Trans-regulation analyses showed that the differentially expressed lncRNAs most likely participate in the pathways regulated by four transcriptional factors, FOS, STAT3, RAD21 and E2F1, which have been identified to be involved in the modulation of oncogenic transformation, cell cycle progression, genomic instability, etc. lnc-THEMIS-2 and lnc-ITGB6-4, predicted to be regulated by STAT3 and E2F1 respectively, were found to rescue the decrease of cell viability induced by TGF-β1 treatment. Conclusion: Our findings suggest that the differentially expressed lncRNAs induced by TGF-β1 play crucial roles in the oncogenic transformation and tumorigenesis, which provide a better understanding of the underlying mechanisms related to tumorigensis induced by LD/LDR radiations.

scholarly journals Identification of potential gene signatures associated with osteosarcoma by integrated bioinformatics analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11496
Author(s):  
Yutao Jia ◽  
Yang Liu ◽  
Zhihua Han ◽  
Rong Tian
Keyword(s):  
Roc Analysis ◽  
Functional Enrichment ◽  
Ppi Network ◽  
Gene Signatures ◽  
Expression Levels ◽  
Link Type ◽  
Diagnostic Values ◽  
Key Genes ◽  
Integration Analysis ◽  
Geo Database

Background Osteosarcoma (OS) is the most primary malignant bone cancer in children and adolescents with a high mortality rate. This work aims to screen novel potential gene signatures associated with OS by integrated microarray analysis of the Gene Expression Omnibus (GEO) database. Material and Methods The OS microarray datasets were searched and downloaded from GEO database to identify differentially expressed genes (DEGs) between OS and normal samples. Afterwards, the functional enrichment analysis, protein–protein interaction (PPI) network analysis and transcription factor (TF)-target gene regulatory network were applied to uncover the biological function of DEGs. Finally, two published OS datasets (GSE39262 and GSE126209) were obtained from GEO database for evaluating the expression level and diagnostic values of key genes. Results  In total 1,059 DEGs (569 up-regulated DEGs and 490 down-regulated DEGs) between OS and normal samples were screened. Functional analysis showed that these DEGs were markedly enriched in 214 GO terms and 54 KEGG pathways such as pathways in cancer. Five genes (CAMP, METTL7A, TCN1, LTF and CXCL12) acted as hub genes in PPI network. Besides, METTL7A, CYP4F3, TCN1, LTF and NETO2 were key genes in TF-gene network. Moreover, Pax-6 regulated four key genes (TCN1, CYP4F3, NETO2 and CXCL12). The expression levels of four genes (METTL7A, TCN1, CXCL12 and NETO2) in GSE39262 set were consistent with our integration analysis. The expression levels of two genes (CXCL12 and NETO2) in GSE126209 set were consistent with our integration analysis. ROC analysis of GSE39262 set revealed that CYP4F3, CXCL12, METTL7A, TCN1 and NETO2 had good diagnostic values for OS patients. ROC analysis of GSE126209 set revealed that CXCL12, METTL7A, TCN1 and NETO2 had good diagnostic values for OS patients.

Mirnas and Gene Expression Profiles in CD34+ Cells Are Dependent On the Source of Progenitor Cells Employed in Transplantation.

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3020-3020
Author(s):  
Alicia Báez ◽  
Beatriz Martin-Antonio ◽  
Concepción Prats-Martín ◽  
Isabel Álvarez-Laderas ◽  
María Victoria Barbado ◽  
...  
Keyword(s):  
Gene Expression ◽  
Conflicts Of Interest ◽  
Reference Group ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Differentially Expressed ◽  
Expression Levels ◽  
Cd34 Cells ◽  
Different Sources

Abstract Abstract 3020 Introduction: Hematopoietic progenitors cells (HPCs) used in allogenic transplantation (allo-HSCT) may have different biological properties depending on their source of origin: mobilized peripheral blood (PB), bone marrow (BM) or umbilical cord (UC), which may be reflected in miRNAs or gene expression. The identification of different patterns of expression could have clinical implications. The aim of this study was to determine differences in miRNAs and gene expression patterns in the different sources of HPCs used in allo-HSCT. Materials and Method: CD34 + cells were isolated by immunomagnetic separation and sorting from 5 healthy donors per type of source: UC, BM and PB mobilized with G-CSF. A pool of samples from PB not mobilized was used as reference group. We analyzed the expression of 375 miRNAs using TaqMan MicroRNA Arrays Human v2.0 (Applied Biosystems), and gene expression using Whole Human Genome Oligo microarray kit 4×44K (Agilent). The expression levels of genes and miRNAs were obtained by the 2-ΔΔCTmethod. From expression data hierarchical clustering was performed using the Euclidean distance. To identify genes and miRNAs differentially expressed between the different sources of HPCs statistical Kruskal Wallis test was applied. All analysis were performed using the Multiexperiment Viewer 4.7.1. The function of the miRNAs and genes of interest was determined from the various databases available online (TAM database, Gene Ontology and TargetScan Human). Results: Forty-two miRNAs differentially expressed between the different sources were identified. As compared to BM or UC, in mobilized PB most miRNAs were overexpressed, including the miRNA family of miR515, which is characteristic of embryonic stem cells. On the other hand, 47 genes differentially expressed between the different sources were identified. Interestingly, a similar pattern of expression was observed between movilized PB and UC as compared to BM. Interestingly, 13 of these genes are targets of the miRNAs also identified in this study, which suggests that their expression might be regulated by these miRNAs. Conclusion: There are significant differences in miRNAs and gene expression levels between the different sources of HPCs Disclosures: No relevant conflicts of interest to declare.

scholarly journals Reference gene selection for qRT-PCR analyses of luffa (Luffa cylindrica) plants under abiotic stress conditions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min-dong Chen ◽  
Bin Wang ◽  
Yong-ping Li ◽  
Mei-juan Zeng ◽  
Jian-ting Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Gene ◽  
Reference Genes ◽  
Gene Selection ◽  
Expression Patterns ◽  
Suitable Reference Gene ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Suitable Reference ◽  
Gene Expression Levels

AbstractSelecting suitable internal reference genes is an important prerequisite for the application of quantitative real-time PCR (qRT-PCR). However, no systematic studies have been conducted on reference genes in luffa. In this study, seven reference genes were selected, and their expression levels in luffa plants exposed to various simulated abiotic stresses [i.e., cold, drought, heat, salt, H2O2, and abscisic acid (ABA) treatments] were analyzed by qRT-PCR. The stability of the reference gene expression levels was validated using the geNorm, NormFinder, BestKeeper, and RefFinder algorithms. The results indicated that EF-1α was the most stably expressed and suitable reference gene overall and for the heat, cold, and ABA treatments. Additionally, UBQ expression was stable following the salt treatment, whereas TUB was identified as a suitable reference gene for H2O2 and drought treatments. The reliability of the selected reference genes was verified by analyzing the expression of copper/zinc superoxide dismutase (Cu/Zn-SOD) gene in luffa. When the most unstable reference genes were used for data normalizations, the resulting expression patterns had obvious biases when compared with the expression patterns for the most ideal reference genes used alone or combined. These results will be conducive to more accurate quantification of gene expression levels in luffa.

scholarly journals ThCOL2 Improves the Salt Stress Tolerance of Tamarix hispida

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaojin Lei ◽  
Bing Tan ◽  
Zhongyuan Liu ◽  
Jing Wu ◽  
Jiaxin Lv ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Salt Stress ◽  
Salt Tolerance ◽  
Cell Damage ◽  
Expression Patterns ◽  
Nacl Stress ◽  
Tamarix Hispida ◽  
Resistance Response ◽  
Expression Levels ◽  
Qrt Pcr

The CONSTANS-LIKE (COL) transcription factor has been reported to play important roles in regulating plant flowering and the response to abiotic stress. To clone and screen COL genes with excellent salt tolerance from the woody halophyte Tamarix hispida, 8 ThCOL genes were identified in this study. The expression patterns of these genes under different abiotic stresses (high salt, osmotic, and heavy metal) and abscisic acid (ABA) treatment were detected using quantitative real-time PCR (qRT-PCR). The expression levels of 8 ThCOL genes changed significantly after exposure to one or more stresses, indicating that these genes were all stress-responsive genes and may be involved in the stress resistance response of T. hispida. In particular, the expression level of ThCOL2 changed significantly at most time points in the roots and leaves of T. hispida under salt stress and after ABA treatments, which may play an important role in the response process of salt stress through a mechanism dependent on the ABA pathway. The recombinant vectors pROKII–ThCOL2 and pFGC5941–ThCOL2 were constructed for the transient transformation of T. hispida, and the transient infection of T. hispida with the pROKII empty vector was used as the control to further verify whether the ThCOL2 gene was involved in the regulation of the salt tolerance response of T. hispida. Overexpression of the ThCOL2 gene in plants under 150 mM NaCl stress increased the ability of transgenic T. hispida cells to remove reactive oxygen species (ROS) by regulating the activity of protective enzymes and promoting a decrease in the accumulation of O2– and H2O2, thereby reducing cell damage or cell death and enhancing salt tolerance. The ThCOL2 gene may be a candidate gene associated with excellent salt tolerance. Furthermore, the expression levels of some genes related to the ABA pathway were analyzed using qRT-PCR. The results showed that the expressions of ThNCED1 and ThNCED4 were significantly higher, and the expressions of ThNCED3, ThZEP, and ThAAO3 were not significantly altered in OE compared with CON under normal conditions. But after 24 h of salt stress, the expressions of all five studied genes all were lower than the normal condition. In the future, the downstream genes directly regulated by the ThCOL2 transcription factor will be searched and identified to analyze the salt tolerance regulatory network of ThCOL2.

scholarly journals Microarray based circRNA expression profiles in uremic plasma and PBMCs due to chronic glomerulonephritis

2017 ◽  
Vol 69 (3) ◽  
pp. 523-534 ◽  
Author(s):  
Xi Wang ◽  
Yong Dai ◽  
Wanfan Zhang ◽  
S SunDonglin ◽  
Xinzhou Zhang
Keyword(s):  
Expression Profile ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Chronic Glomerulonephritis ◽  
Qrt Pcr ◽  
Uremic Patients

Circular RNAs (circRNAs) have been identified in many diseases and shown to play important roles in pathological processes. The expression patterns of circRNA in uremia remains unknown. The aim of this study was to screen circRNA in plasma and peripheral blood mononuclear cells (PBMCs)in healthy controls and patients with uremia due to chronic glomerulonephritis, and to provide evidence for further exploration of the pathogenesis, diagnosis and treatment of uremic patients. Twenty individuals were included in this study, of which 10 were healthy and 10 were patients with uremia caused by chronic glomerulonephritis without systemic lupus erythematosus(SLE). Peripheral blood was collected from each individual in the two groups and the PBMCs were separated. The circRNAs expression profile was examined using a human circRNA microarray. The expression of differently expressed circRNAs was further validated by qRT-PCR. Seven hundred ten circRNAs were differentially expressed in the plasma in the two groups, accounting for 27.58% of the total circRNA(710/2578). Three hundred eighty-five up regulated circRNAs accounted for 14.93% and 325 down regulated circRNAs accounted for 12.60% of the total circRNAs. Additionally, 968 circRNAs were differentially expressed in PBMCs in the two groups, accounting for 29.24% of all circRNAs (968/3310).Six hundred seventy upregulated circRNAs accounted for 20.24% and 298 down regulated circRNAs accounted for 9.00% of the total circRNAs. The results of qRT-PCR validation were consistent with the microarray gene expression results. The expression profile of circRNAs was altered in the plasma and PBMCs of patients with uremia, which suggests that the changed circRNAs may be potential diagnostic biomarkers that play an important role in the pathogenesis of uremic patients. We speculate that hsa_circ_0053958, hsa_circ_0103281 may be associated with the pathogenesis of uremia and may be potential biological molecular markers for the diagnosis and prognosis of uremia.

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