scholarly journals Genetic Comparison of Stemness of Human Umbilical Cord and Dental Pulp

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Chung-Min Kang ◽  
Hyunok Kim ◽  
Je Seon Song ◽  
Byung-Jai Choi ◽  
Seong-Oh Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Umbilical Cord ◽  
Dental Pulp ◽  
Tooth Development ◽  
Expression Patterns ◽  
Pcr Analysis ◽  
Human Umbilical Cord ◽  
Tissue Samples ◽  
Qrt Pcr ◽  
Expression Of Genes

This study focuses on gene expression patterns and functions in human umbilical cord (UC) and dental pulp (DP) containing mesenchymal stem cells (MSCs). DP tissues were collected from 25 permanent premolars. UC tissue samples were obtained from three newborns. Comparative gene profiles were obtained using cDNA microarray analysis and the expression of tooth development-associated and MSC-related genes was assessed by the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). Genes related to cell proliferation, angiogenesis, and immune responses were expressed at higher levels in UC, whereas genes related to growth factor and receptor activity and signal transduction were more highly expressed in DP. Although UC and DP tissues exhibited similar expression of surface markers for MSCs, UC showed higher expression of CD29, CD34, CD44, CD73, CD105, CD146, and CD166. qRT-PCR analysis showed that CD146, CD166, and MYC were expressed 18.3, 8.24, and 1.63 times more highly in UC, whereas the expression of CD34 was 2.15 times higher in DP. Immunohistochemical staining revealed significant differences in the expression of genes (DSPP,DMP1, andCALB1) related to odontogenesis and angiogenesis in DP. DP and UC tissue showed similar gene expression, with the usual MSC markers, while they clearly diverged in their differentiation capacity.

scholarly journals Reference gene selection for qRT-PCR assays inStellera chamaejasmesubjected to abiotic stresses and hormone treatments based on transcriptome datasets

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4535 ◽  
Author(s):  
Xin Liu ◽  
Huirui Guan ◽  
Min Song ◽  
Yanping Fu ◽  
Xiaomin Han ◽  
...  
Keyword(s):  
Gene Expression ◽  
Internal Control ◽  
Abiotic Stresses ◽  
Target Genes ◽  
Expression Patterns ◽  
Control Measures ◽  
Rapid Expansion ◽  
Pcr Analysis ◽  
Data Normalization ◽  
Qrt Pcr

BackgroundStellera chamaejasmeLinn, an important poisonous plant of the China grassland, is toxic to humans and livestock. The rapid expansion ofS. chamaejasmehas greatly damaged the grassland ecology and, consequently, seriously endangered the development of animal husbandry. To draft efficient prevention and control measures, it has become more urgent to carry out research on its adaptive and expansion mechanisms in different unfavorable habitats at the genetic level. Quantitative real-time polymerase chain reaction (qRT-PCR) is a widely used technique for studying gene expression at the transcript level; however, qRT-PCR requires reference genes (RGs) as endogenous controls for data normalization and only through appropriate RG selection and qRT-PCR can we guarantee the reliability and robustness of expression studies and RNA-seq data analysis. Unfortunately, little research on the selection of RGs for gene expression data normalization inS. chamaejasmehas been reported.MethodIn this study, 10 candidate RGs namely,18S,60S,CYP,GAPCP1,GAPDH2,EF1B,MDH,SAND,TUA1, andTUA6, were singled out from the transcriptome database ofS. chamaejasme, and their expression stability under three abiotic stresses (drought, cold, and salt) and three hormone treatments (abscisic acid, ABA; gibberellin, GA; ethephon, ETH) were estimated with the programs geNorm, NormFinder, and BestKeeper.ResultOur results showed thatGAPCP1andEF1Bwere the best combination for the three abiotic stresses, whereasTUA6andSAND,TUA1andCYP,GAPDH2and60Swere the best choices for ABA, GA, and ETH treatment, respectively. Moreover,GAPCP1and60Swere assessed to be the best combination for all samples, and18Swas the least stable RG for use as an internal control in all of the experimental subsets. The expression patterns of two target genes (P5CS2andGI) further verified that the RGs that we selected were suitable for gene expression normalization.DiscussionThis work is the first attempt to comprehensively estimate the stability of RGs inS. chamaejasme. Our results provide suitable RGs for high-precision normalization in qRT-PCR analysis, thereby making it more convenient to analyze gene expression under these experimental conditions.

scholarly journals Selection and Validation of Reference Genes for qRT-PCR Analysis in the Oil-Rich Tuber Crop Tiger Nut (Cyperus esculentus) Based on Transcriptome Data

2021 ◽  
Vol 22 (5) ◽  
pp. 2569
Author(s):  
Xue Bai ◽  
Tao Chen ◽  
Yuan Wu ◽  
Mingyong Tang ◽  
Zeng-Fu Xu
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Pcr Analysis ◽  
Cyperus Esculentus ◽  
Transcriptome Data ◽  
Qrt Pcr ◽  
Below Ground ◽  
The Stability

Tiger nut (Cyperus esculentus), a perennial C4 plant of the Cyperaceae family, is an unconventional crop that is distinguished by its oil-rich tubers, which also possesses the advantages of strong resistance, wide adaptability, short life periods, and large biomass. To facilitate studies on gene expression in this species, we identified and validated a series of reference genes (RGs) based on transcriptome data, which can be employed as internal controls for qRT-PCR analysis in tiger nut. Fourteen putative candidate RGs were identified and evaluated across nine different tissues of two cultivars, and the RGs were analyzed using three different algorithms (geNorm, NormFinder, and BestKeeper). The stability rankings of the candidate RGs were merged into consensus lists with RankAggreg. For the below-ground storage organ of tiger nut, the optimal RGs were TUB4 and UCE2 in different developmental stages of tubers. UCE2 and UBL5 were the most stably expressed RGs among all tissues, while Rubisco and PGK exhibited the lowest expression stability. UCE2, UBL5 and Rubisco were compared to normalize the expression levels of the caleosin (CLO) and diacylglycerol acyltransferase 2-2 (DGAT2-2) genes across the same tissues. Our results showed that the RGs identified in this study, which exhibit more uniform expression patterns, may be utilized for the normalization of qRT-PCR results, promoting further research on gene expression in various tissues of tiger nut.

Overexpression of Pygo2 Increases Differentiation of Human Umbilical Cord Mesenchymal Stem Cells into Cardiomyocyte-like Cells

2020 ◽  
Vol 20 (4) ◽  
pp. 318-324 ◽  
Author(s):  
Lei Yang ◽  
Shuoji Zhu ◽  
Yongqing Li ◽  
Jian Zhuang ◽  
Jimei Chen ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Umbilical Cord ◽  
Heart Function ◽  
Critical Role ◽  
Human Umbilical Cord ◽  
Stem Cell Markers ◽  
Quantitative Real Time Pcr ◽  
Qrt Pcr

Background: Our previous studies have shown that Pygo (Pygopus) in Drosophila plays a critical role in adult heart function that is likely conserved in mammals. However, its role in the differentiation of human umbilical cord mesenchymal stem cells (hUC-MSCs) into cardiomyocytes remains unknown. Objective: To investigate the role of pygo2 in the differentiation of hUC-MSCs into cardiomyocytes. Methods: Third passage hUC-MSCs were divided into two groups: a p+ group infected with the GV492-pygo2 virus and a p− group infected with the GV492 virus. After infection and 3 or 21 days of incubation, Quantitative real-time PCR (qRT-PCR) was performed to detect pluripotency markers, including OCT-4 and SOX2. Nkx2.5, Gata-4 and cTnT were detected by immunofluorescence at 7, 14 and 21 days post-infection, respectively. Expression of cardiac-related genes—including Nkx2.5, Gata-4, TNNT2, MEF2c, ISL-1, FOXH1, KDR, αMHC and α-Actin—were analyzed by qRT-PCR following transfection with the virus at one, two and three weeks. Results : After three days of incubation, there were no significant changes in the expression of the pluripotency stem cell markers OCT-4 and SOX2 in the p+ group hUC-MSCs relative to controls (OCT-4: 1.03 ± 0.096 VS 1, P > 0.05, SOX2: 1.071 ± 0.189 VS 1, P > 0.05); however, after 21 days, significant decreases were observed (OCT-4: 0.164 ± 0.098 VS 1, P < 0.01, SOX2: 0.209 ± 0.109 VS 1, P < 0.001). Seven days following incubation, expression of mesoderm specialisation markers, such as Nkx2.5, Gata-4, MEF2c and KDR, were increased; at 14 days following incubation, expression of cardiac genes, such as Nkx2.5, Gata-4, TNNT2, MEF2c, ISL-1, FOXH1, KDR, αMHC and α-Actin, were significantly upregulated in the p+ group relative to the p− group (P < 0.05). Taken together, these findings suggest that overexpression of pygo2 results in more hUCMSCs gradually differentiating into cardiomyocyte-like cells. Conclusion: We are the first to show that overexpression of pygo2 significantly enhances the expression of cardiac-genic genes, including Nkx2.5 and Gata-4, and promotes the differentiation of hUC-MSCs into cardiomyocyte-like cells.

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 General gene expression patterns and stemness of the gingiva and dental pulp

2021 ◽  
Author(s):  
Ko Eun Lee ◽  
Chung-Min Kang ◽  
Mijeong Jeon ◽  
Seong-Oh Kim ◽  
Jae-Ho Lee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dental Pulp ◽  
Expression Patterns ◽  
Gene Expression Patterns

Distinct gene expression patterns in chronic lymphocytic leukemia defined by usage of specific VH genes

Blood ◽  
2006 ◽  
Vol 107 (5) ◽  
pp. 2090-2093 ◽  
Author(s):  
Dirk Kienle ◽  
Axel Benner ◽  
Alexander Kröber ◽  
Dirk Winkler ◽  
Daniel Mertens ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Lymphocytic Leukemia ◽  
Expression Patterns ◽  
Gene Expression Pattern ◽  
Cell Receptor ◽  
Lymphocytic Leukemia ◽  
Expression Of Genes ◽  
Vh Genes ◽  
Signaling Activation

The mutation status and usage of specific VH genes such as V3-21 and V1-69 are potentially independent pathogenic and prognostic factors in chronic lymphocytic leukemia (CLL). To investigate the role of antigenic stimulation, we analyzed the expression of genes involved in B-cell receptor (BCR) signaling/activation, cell cycle, and apoptosis control in CLL using these specific VH genes compared to VH mutated (VH-MUT) and VH unmutated (VH-UM) CLL not using these VH genes. V3-21 cases showed characteristic expression differences compared to VH-MUT (up: ZAP70 [or ZAP-70]; down: CCND2, P27) and VH-UM (down: PI3K, CCND2, P27, CDK4, BAX) involving several BCR-related genes. Similarly, there was a marked difference between VH unmutated cases using the V1-69 gene and VH-UM (up: FOS; down: BLNK, SYK, CDK4, TP53). Therefore, usage of specific VH genes appears to have a strong influence on the gene expression pattern pointing to antigen recognition and ongoing BCR stimulation as a pathogenic factor in these CLL subgroups.

scholarly journals GENECFE-ANFIS: A NEURO-FUZZY INFERENCE SYSTEM TO INFER GENE-GENE INTERACTIONS BASED ON RECOGNITION OF MICROARRAY GENE EXPRESSION PATTERNS

2007 ◽  
Vol 19 (02) ◽  
pp. 71-78 ◽  
Author(s):  
Cheng-Long Chuang ◽  
Chung-Ming Chen ◽  
Grace S. Shieh ◽  
Joe-Air Jiang
Keyword(s):  
Gene Expression ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Expression Patterns ◽  
Gene Interactions ◽  
Microarray Gene Expression ◽  
Inference System ◽  
Qrt Pcr ◽  
Neuro Fuzzy ◽  
Microarray Gene

A neuro-fuzzy inference system that recognizes the expression patterns of genes in microarray gene expression (MGE) data, called GeneCFE-ANFIS, is proposed to infer gene interactions. In this study, three primary features are utilized to extract genes' expression patterns and used as inputs to the neuro-fuzzy inference system. The proposed algorithm learns expression patterns from the known genetic interactions, such as the interactions confirmed by qRT-PCR experiments or collected through text-mining technique by surveying previously published literatures, and then predicts other gene interactions according to the learned patterns. The proposed neuro-fuzzy inference system was applied to a public yeast MGE dataset. Two simulations were conducted and checked against 112 pairs of qRT-PCR confirmed gene interactions and 77 TFs (Transcriptional Factors) pairs collected from literature respectively to evaluate the performance of the proposed algorithm.

A comprehensive cancer-associated microRNA expression profiling and proteomic analysis of human umbilical cord mesenchymal stem cell derived exosomes.

2021 ◽  
Author(s):  
Ganesan Jothimani ◽  
Surajait Pathak ◽  
Suman Dutta ◽  
Asim K. Duttaroy ◽  
Antara Banerjee
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Stem Cell ◽  
Growth Factors ◽  
Umbilical Cord ◽  
Expression Patterns ◽  
Functional Enrichment ◽  
Human Umbilical Cord ◽  
Human Mscs ◽  
Anti Cancer

Abstract Background The mesenchymal stem cells (MSCs) have enormous therapeutic potential owing to their multi-lineage differentiation and self-renewal properties. MSCs express growth factors, cytokines, chemokines, and non-coding regulatory RNAs with immunosuppressive, anti-tumor, and migratory properties. MSCs also release several anti-cancer molecules via extracellular vesicles, that act as pro-apoptotic/tumor suppressor factors. This study aimed to identify the stem cell-derived secretome that could exhibit anti-cancer properties through molecular profiling of cargos in MSC-derived exosomes. Methods Human umbilical cord mesenchymal stem cells (hUCMSCs) were isolated from umbilical cord tissues and cultured expanded. After that, exosomes were isolated from the hUCMSC conditioned medium. The miRNA profiling of hUCMSCs and hUCMSC-derived exosomes was performed, followed by functional enrichment analysis. Results The miRNA expression profile and gene ontology (GO) depicts the differential expression patterns of high and less-expressed miRNAs that are delineated to be involved in the regulation of the apoptosis process. The LCMS/MS data and GO analysis indicate that hUCMSC secretomes are involved in several oncogenic and inflammatory signaling cascades. Conclusion Primary human MSCs releases miRNAs and growth factors via exosomes that are increasingly implicated in intercellular communications, and hUCMSC-exosomal miRNAs may have a critical influence in regulating cell death and apoptosis of cancer cells.

scholarly journals Social history and exposure to pathogen signals modulate social status effects on gene regulation in rhesus macaques

2019 ◽  
Vol 117 (38) ◽  
pp. 23317-23322 ◽  
Author(s):  
Joaquín Sanz ◽  
Paul L. Maurizio ◽  
Noah Snyder-Mackler ◽  
Noah D. Simons ◽  
Tawni Voyles ◽  
...  
Keyword(s):  
Gene Expression ◽  
Social Status ◽  
Social History ◽  
Immune Cell ◽  
Rhesus Macaques ◽  
Expression Patterns ◽  
Social Experience ◽  
Type I ◽  
Gene Expression Response ◽  
Expression Of Genes

Social experience is an important predictor of disease susceptibility and survival in humans and other social mammals. Chronic social stress is thought to generate a proinflammatory state characterized by elevated antibacterial defenses and reduced investment in antiviral defense. Here we manipulated long-term social status in female rhesus macaques to show that social subordination alters the gene expression response to ex vivo bacterial and viral challenge. As predicted by current models, bacterial lipopolysaccharide polarizes the immune response such that low status corresponds to higher expression of genes in NF-κB–dependent proinflammatory pathways and lower expression of genes involved in the antiviral response and type I IFN signaling. Counter to predictions, however, low status drives more exaggerated expression of both NF-κB– and IFN-associated genes after cells are exposed to the viral mimic Gardiquimod. Status-driven gene expression patterns are linked not only to social status at the time of sampling, but also to social history (i.e., past social status), especially in unstimulated cells. However, for a subset of genes, we observed interaction effects in which females who fell in rank were more strongly affected by current social status than those who climbed the social hierarchy. Taken together, our results indicate that the effects of social status on immune cell gene expression depend on pathogen exposure, pathogen type, and social history—in support of social experience-mediated biological embedding in adulthood, even in the conventionally memory-less innate immune system.

scholarly journals Bayesian Framework for Detecting Gene Expression Outliers in Individual Samples

2020 ◽  
pp. 160-170
Author(s):  
John Vivian ◽  
Jordan M. Eizenga ◽  
Holly C. Beale ◽  
Olena M. Vaske ◽  
Benedict Paten
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Rna Seq ◽  
Single Patient ◽  
Tissue Samples ◽  
Composite Tissue ◽  
Patient Sample ◽  
Statistical Framework ◽  
Therapeutic Leads ◽  
Upregulated Genes

PURPOSE Many antineoplastics are designed to target upregulated genes, but quantifying upregulation in a single patient sample requires an appropriate set of samples for comparison. In cancer, the most natural comparison set is unaffected samples from the matching tissue, but there are often too few available unaffected samples to overcome high intersample variance. Moreover, some cancer samples have misidentified tissues of origin or even composite-tissue phenotypes. Even if an appropriate comparison set can be identified, most differential expression tools are not designed to accommodate comparisons to a single patient sample. METHODS We propose a Bayesian statistical framework for gene expression outlier detection in single samples. Our method uses all available data to produce a consensus background distribution for each gene of interest without requiring the researcher to manually select a comparison set. The consensus distribution can then be used to quantify over- and underexpression. RESULTS We demonstrate this method on both simulated and real gene expression data. We show that it can robustly quantify overexpression, even when the set of comparison samples lacks ideally matched tissue samples. Furthermore, our results show that the method can identify appropriate comparison sets from samples of mixed lineage and rediscover numerous known gene-cancer expression patterns. CONCLUSION This exploratory method is suitable for identifying expression outliers from comparative RNA sequencing (RNA-seq) analysis for individual samples, and Treehouse, a pediatric precision medicine group that leverages RNA-seq to identify potential therapeutic leads for patients, plans to explore this method for processing its pediatric cohort.

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