scholarly journals Hyperglycemia Affects miRNAs Expression Pattern during Adipogenesis of Human Visceral Adipocytes—Is Memorization Involved?

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1774 ◽  
Author(s):  
Justyna Strycharz ◽  
Ewa Świderska ◽  
Adam Wróblewski ◽  
Marta Podolska ◽  
Piotr Czarny ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Expression Profiles ◽  
Pearson Correlation ◽  
Expression Patterns ◽  
Receptor Interaction ◽  
Cell Cycles ◽  
Chronic Hyperglycemia ◽  
Three Stages ◽  
Mirnas Expression ◽  
The Relationship

microRNAs are increasingly analyzed in adipogenesis, whose deregulation, especially visceral, contributes to the development of diabetes. Hyperglycemia is known to affect cells while occurring acutely and chronically. Therefore, we aimed to evaluate the effect of hyperglycemia on human visceral pre/adipocytes from the perspective of microRNAs. The relative expression of 78 microRNAs was determined by TaqMan Low Density Arrays at three stages of HPA-v adipogenesis conducted under normoglycemia, chronic, and intermittent hyperglycemia (30 mM). Hierarchical clustering/Pearson correlation revealed the relationship between various microRNAs’ expression profiles, while functional analysis identified the genes and signaling pathways regulated by differentially expressed microRNAs. Hyperglycemia affected microRNAs’ expression patterns during adipogenesis, and at the stage of pre-adipocytes, differentiated and matured adipocytes compared to normoglycemia. Interestingly, the changes that were evoked upon hyperglycemic exposure during one adipogenesis stage resembled those observed upon chronic hyperglycemia. At least 15 microRNAs were modulated during normoglycemic and/or hyperglycemic adipogenesis and/or upon intermittent/chronic hyperglycemia. Bioinformatics analysis revealed the involvement of these microRNAs in cell cycles, lipid metabolism, ECM–receptor interaction, oxidative stress, signaling of insulin, MAPK, TGF-β, p53, and more. The obtained data suggests that visceral pre/adipocytes exposed to chronic/intermittent hyperglycemia develop a microRNAs’ expression pattern, which may contribute to further visceral dysfunction, the progression of diabetic phenotype, and diabetic complications possibly involving “epi”-memory.

scholarly journals Comparative Transcriptome Analysis Suggests Key Roles for 5-Hydroxytryptamlne Receptors in Control of Goose Egg Production

Genes ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 455 ◽  
Author(s):  
Qingyuan Ouyang ◽  
Shenqiang Hu ◽  
Guosong Wang ◽  
Jiwei Hu ◽  
Jiaman Zhang ◽  
...  
Keyword(s):  
Egg Production ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Production Performance ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
Anser Anser

To date, research on poultry egg production performance has only been conducted within inter or intra-breed groups, while those combining both inter- and intra-breed groups are lacking. Egg production performance is known to differ markedly between Sichuan white goose (Anser cygnoides) and Landes goose (Anser anser). In order to understand the mechanism of egg production performance in geese, we undertook this study. Here, 18 ovarian stromal samples from both Sichuan white goose and Landes goose at the age of 145 days (3 individuals before egg production initiation for each breed) and 730 days (3 high- and low egg production individuals during non-laying periods for each breed) were collected to reveal the genome-wide expression profiles of ovarian mRNAs and lncRNAs between these two geese breeds at different physiological stages. Briefly, 58, 347, 797, 777, and 881 differentially expressed genes (DEGs) and 56, 24, 154, 105, and 224 differentially expressed long non-coding RNAs (DElncRNAs) were found in LLD vs. HLD (low egg production Landes goose vs. high egg production Landes goose), LSC vs. HSC (low egg production Sichuan White goose vs. high egg production Sichuan white goose), YLD vs. YSC (young Landes goose vs. young Sichuan white goose), HLD vs. HSC (high egg production Landes goose vs. high egg production Sichuan white goose), and LLD vs. LSC (low egg production Landes goose vs. low egg production Sichuan white goose) groups, respectively. Functional enrichment analysis of these DEGs and DElncRNAs suggest that the “neuroactive ligand–receptor interaction pathway” is crucial for egg production, and particularly, members of the 5-hydroxytryptamine receptor (HTR) family affect egg production by regulating ovarian metabolic function. Furthermore, the big differences in the secondary structures among HTR1F and HTR1B, HTR2B, and HTR7 may lead to their different expression patterns in goose ovaries of both inter- and intra-breed groups. These results provide novel insights into the mechanisms regulating poultry egg production performance.

scholarly journals Characterization of Embryonic Skin Transcriptome in Anser cygnoides at Three Feather Follicles Developmental Stages

2019 ◽  
Vol 10 (2) ◽  
pp. 443-454
Author(s):  
Chang Liu ◽  
Cornelius Tlotliso Sello ◽  
Yujian Sui ◽  
Jingtao Hu ◽  
Shaokang Chen ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Developmental Stages ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Mitogen Activated Protein Kinase ◽  
Receptor Interaction ◽  
Keratinocyte Proliferation ◽  
Skin Development

In order to enrich the Anser cygnoides genome and identify the gene expression profiles of primary and secondary feather follicles development, de novo transcriptome assembly of skin tissues was established by analyzing three developmental stages at embryonic day 14, 18, and 28 (E14, E18, E28). Sequencing output generated 436,730,608 clean reads from nine libraries and de novo assembled into 56,301 unigenes. There were 2,298, 9,423 and 12,559 unigenes showing differential expression in three stages respectively. Furthermore, differentially expressed genes (DEGs) were functionally classified according to genes ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and series-cluster analysis. Relevant specific GO terms such as epithelium development, regulation of keratinocyte proliferation, morphogenesis of an epithelium were identified. In all, 15,144 DEGs were clustered into eight profiles with distinct expression patterns and 2,424 DEGs were assigned to 198 KEGG pathways. Skin development related pathways (mitogen-activated protein kinase signaling pathway, extra-cellular matrix -receptor interaction, Wingless-type signaling pathway) and genes (delta like canonical Notch ligand 1, fibroblast growth factor 2, Snail family transcriptional repressor 2, bone morphogenetic protein 6, polo like kinase 1) were identified, and eight DEGs were selected to verify the reliability of transcriptome results by real-time quantitative PCR. The findings of this study will provide the key insights into the complicated molecular mechanism and breeding techniques underlying the developmental characteristics of skin and feather follicles in Anser cygnoides.

Cytokine Profiling of Acute Meylogenous Leukemia and Myelodysplasia.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2355-2355
Author(s):  
Steven M. Kornblau ◽  
David McCue ◽  
Kang L. Lu ◽  
Wenjing Chen ◽  
Kevin R. Coombes
Keyword(s):  
Protein Expression ◽  
Expression Profiles ◽  
Pearson Correlation ◽  
Expression Patterns ◽  
Myelogenous Leukemia ◽  
High Expression ◽  
Leukemic Cells ◽  
Proteomic Profiling ◽  
Serum Samples ◽  
Average Linkage

Abstract Protein expression and activation determines the pathophysiology of leukemic cells in Myelodysplasia (MDS) and Acute Myelogenous Leukemia (AML) and is dependent on endogenous changes (e.g mutation, methylation) and exogenous signals from stromal interactions, cytokines (CTKN) and chemokines. We have previously performed proteomics on primary AML sample (using reverse phase protein arrays) and wanted to assess how cytokines affect protein expression and phosphorylation. Prior studies of CTKN expression in AML and MDS have generally measured individual CTKNs, but not provided an overall assessment of CTKN expression. We measured the level of 26 CTKN (IL-1RA, 1B, 2, 4 5, 6, 7 , 8 , 9, 10,12, 13, 15, 17, Eotaxin, FGFB, G-CSF, GM-CSF, IFNγ, IP10, MCP1, MIP1α, MIP1β, PDGF, TNFα and VEGF) using multiplex cytometry (Bioplex™, Biorad) in serum samples from 176 AML (138 untreated (New), 38 relapsed (REL)) and 114 MDS patients (97 New, 10 post biological therapy, 7 REL) and 19 normal (NL) subjects. Individual CTKN expression was not correlated with clinical features (e.g. age, gender, cytogenetics, FAB, HB, WBC, platelet etc). The levels of IL -1β, 4, 5, 6, 7,10,12, 13, 17, IFNγ, FGFB and MIP1α were significantly lower and IL-8 and 15 higher in AML/MDS compared to NL. The expression profiles of AML and MDS were statistically indistinguishable whether analyzed individually or by unsupervised hierarchical clustering, except for IL-8 and 13 (higher in AML) and VEGF (higher in MDS). When CTKN were evaluated individually in new AML cases higher levels of IL4, 5 and 10 correlated significantly with remission attainment, and higher levels of IL8, Il1Ra, IP-10, Mip1β, VEGF and ILR, correlated significantly with shorter survival. No CTKN predicted remission attainment or survival in MDS. Unsupervised hierarchical bootstrap clustering using Pearson correlation and average linkage of CTKN expression relative to other CTKN expression, where high levels of one CTKN correlated with high expression of the other, revealed 6 highly reproducible expression patterns: IL-1β 4, 7, 10, 12, 13, G-CSF, IFNγ, MIP1α and PDGF IL 1ra, 6, 8 Eotaxin, IP-10, MIP1β and VEGF, IL2, 9, 15 and GMCSF, IL5 IL-7, FGF-Basic, TNFα and MCP1. Similar unsupervised clustering of the samples based on CTKN expression using average linkage also revealed 5 disease clusters and a NL sample cluster (containing all 19 NL samples). Average expression levels of each CTKN in these 5 clusters show diminished expression of most CTKN that had high expression in the NL samples, with each group showing increase in expression in a distinct subset of CTKN relative to NL. Remission attainment was strongly associated with cytokine signature (P=0.005). Additional CTKN are being studied (SCF, TGFβ, IL3). Comparison of CTKN expression patterns with proteomic profiling of expression and phosphorylation status is pending. In summary, this is the largest sample set studied for multiple CTKN expression in AML and MDS and the first assessment of many of these CTKN in these diseases. Most CTKNs showed different expression in AML and MDS compared to NL. Interestingly, CTKN expression in AML and MDS were similar. Many CTKN are predictive of outcome individually. CTKN signatures distinguish groups of patients and are predictive of outcome. Correlation with proteomic profiling may suggest CTKN to target in combination with other targeted therapies to maximally affect activated pathways.

Mesenchymal Stem Cell Differentiation Markers Shared with Soft Tissue Sarcomas

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4755-4755
Author(s):  
Stefan Wirths ◽  
Hans-Joerg Buehring ◽  
Lothar Kanz ◽  
Joerg T Hartmann ◽  
Hans-Georg Kopp
Keyword(s):  
Stem Cells ◽  
Soft Tissue ◽  
Expression Pattern ◽  
Cell Lines ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Soft Tissue Sarcomas ◽  
Stem Cell Differentiation ◽  
Antibody Panel

Abstract Malignant tumors are hypothesized to harbor small populations of self-renewing cancer stem cells. Targeting these cells may be the decisive step to overcome treatment resistance and achieve tumor eradication in cancer patients. Advanced soft tissue sarcomas (STS) are rare tumors with a dismal prognosis and a small number of systemic treatment options. STS may originate from mesenchymal stem cells (MSC); the latter have mainly been isolated from adult bone marrow (BM) as non-hematopoietic, self-renewing cells whose in vitro progeny comprises osteoblasts, chondroblasts, myocytes, and adipocytes. While in vitro expression profiles of MSC have been investigated extensively, the in vivo counterparts of MSC are still hypothetical. To target rare human cell BM populations including MSC, an exclusive antibody panel was developed. The target antigens include platelet-derived growth factor receptor-β (CD140b), HER-2/erbB2 (CD340), the recently described W8B2 antigen as well as several surface antigens identified by novel antibodies. To define the expression pattern of MSC-markers in STS, three STS cell lines were tested for expression of these antigens. In addition, snap-frozen primary STS sections were analyzed by immunohistochemistry using the same antibody panel. All cell lines revealed expression of selected markers including CD340, W8B2, and CD140b. Several MSC markers were restricted to a subpopulation of cells. In addition, leiomyosarcoma cells displayed a different expression pattern as compared to liposarcoma and Ewing’s sarcoma cells. Results of immunohistochemistry analysis of primary leiomyosarcoma tumor samples correlated strongly with expression patterns established by FACS analysis. However, important cytoarchitectural features regarding selected markers were revealed by immunohistochemistry: while primary leiomyosarcomas displayed uniform expression of W7C6, HEK3D6, CD10, and CD318, other markers such as CD34, W5C5, and 57D2 were expressed by tumor endothelia only. Moreover, a population of perivascular tumor cells was found to express the MSC-markers W4A5, W8B2, CD140b, W3D5, and W5C4. Novel MSC-markers are expressed by subpopulations in STS cell lines as well as in primary sarcoma tissue. Further studies on the functional significance of these phenotypical studies are underway and may help to identify novel specific targets recognizing the self-renewing STS-compartment.

scholarly journals Differential Expression of Two Expansin Genes in Developing Fruit of Cracking-susceptible and -resistant Litchi Cultivars

2006 ◽  
Vol 131 (1) ◽  
pp. 118-121 ◽  
Author(s):  
Wang Yong ◽  
Lu Wangjin ◽  
Li Jianguo ◽  
Jiang Yueming
Keyword(s):  
Early Stage ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Fruit Growth ◽  
Base Pairs ◽  
Fruit Cracking ◽  
Rapid Amplification ◽  
Race Pcr ◽  
The Relationship ◽  
Days After Anthesis

To understand the relationship between fruit cracking and gene expression patterns, we identified two expansin genes from litchi (Litchi chinensis Sonn.) fruit and then examined their expression profiles in pericarp and aril at different stages of fruit development, using the cracking-resistant cultivar Huaizhi and the cracking-susceptible cultivar Nuomici. Two full-length cDNAs of 1087 and 1010 base pairs encoding expansin, named LcExp1 and LcExp2, were isolated from expanding fruit using RT-PCR and RACE-PCR (rapid amplification of cDNA ends) methods. LcExp1 mRNA could be detected from the early stage of fruit rapid growth (59 days after anthesis). The LcExp1 mRNA increased and reached to the highest level at the end of growth phase (80 days after anthesis) in pericarp of `Huaizhi', while the mRNA could be detected at the stage of rapid fruit growth, then increased slightly and finally kept remained almost constant in the pericarp of `Nuomici'. Similar accumulation of LcExp2 mRNA was observed in fruit aril of `Nuomici' and `Huaizhi', whereas LcExp2 accumulated only in pericarp of `Huaizhi' but did not appear in pericarp of `Nuomici'. The results indicate that expression of two expansin genes in litchi pericarp are closely associated with fruit growth and cracking.

scholarly journals Comparative Gene Expression Analysis Reveals Similarities and Differences of Chronic Myeloid Leukemia Phases

Cancers ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 256
Author(s):  
Annemarie Schwarz ◽  
Ingo Roeder ◽  
Michael Seifert
Keyword(s):  
Gene Expression ◽  
Chronic Myeloid Leukemia ◽  
Signaling Pathway ◽  
Myeloid Leukemia ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Chronic Phase ◽  
Receptor Interaction ◽  
Similarities And Differences

Chronic myeloid leukemia (CML) is a slowly progressing blood cancer that primarily affects elderly people. Without successful treatment, CML progressively develops from the chronic phase through the accelerated phase to the blast crisis, and ultimately to death. Nowadays, the availability of targeted tyrosine kinase inhibitor (TKI) therapies has led to long-term disease control for the vast majority of patients. Nevertheless, there are still patients that do not respond well enough to TKI therapies and available targeted therapies are also less efficient for patients in accelerated phase or blast crises. Thus, a more detailed characterization of molecular alterations that distinguish the different CML phases is still very important. We performed an in-depth bioinformatics analysis of publicly available gene expression profiles of the three CML phases. Pairwise comparisons revealed many differentially expressed genes that formed a characteristic gene expression signature, which clearly distinguished the three CML phases. Signaling pathway expression patterns were very similar between the three phases but differed strongly in the number of affected genes, which increased with the phase. Still, significant alterations of MAPK, VEGF, PI3K-Akt, adherens junction and cytokine receptor interaction signaling distinguished specific phases. Our study also suggests that one can consider the phase-wise CML development as a three rather than a two-step process. This is in accordance with the phase-specific expression behavior of 24 potential major regulators that we predicted by a network-based approach. Several of these genes are known to be involved in the accumulation of additional mutations, alterations of immune responses, deregulation of signaling pathways or may have an impact on treatment response and survival. Importantly, some of these genes have already been reported in relation to CML (e.g., AURKB, AZU1, HLA-B, HLA-DMB, PF4) and others have been found to play important roles in different leukemias (e.g., CDCA3, RPL18A, PRG3, TLX3). In addition, increased expression of BCL2 in the accelerated and blast phase indicates that venetoclax could be a potential treatment option. Moreover, a characteristic signaling pathway signature with increased expression of cytokine and ECM receptor interaction pathway genes distinguished imatinib-resistant patients from each individual CML phase. Overall, our comparative analysis contributes to an in-depth molecular characterization of similarities and differences of the CML phases and provides hints for the identification of patients that may not profit from an imatinib therapy, which could support the development of additional treatment strategies.

scholarly journals Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Davide Perruzza ◽  
Nicola Bernabò ◽  
Cinzia Rapino ◽  
Luca Valbonetti ◽  
Ilaria Falanga ◽  
...  
Keyword(s):  
Neural Network ◽  
Gene Expression ◽  
Artificial Neural Network ◽  
Male Fertility ◽  
Cannabinoid Receptors ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Artificial Neural ◽  
The Relationship

The relationship between varicocele and fertility has always been a matter of debate because of the absence of predictive clinical indicators or molecular markers able to define the severity of this disease. Even though accumulated evidence demonstrated that the endocannabinoid system (ECS) plays a central role in male reproductive biology, particularly in the testicular compartment, to date no data point to a role for ECS in the etiopathogenesis of varicocele. Therefore, the present research has been designed to investigate the relationship between testicular ECS gene expression and fertility, using a validated animal model of experimental varicocele (VAR), taking advantage of traditional statistical approaches and artificial neural network (ANN). Experimental induction of VAR led to a clear reduction of spermatogenesis in left testes ranging from a mild (Johnsen score 7: 21%) to a severe (Johnsen score 4: 58%) damage of the germinal epithelium. However, the mean number of new-borns recorded after two sequential matings was quite variable and independent of the Johnsen score. While the gene expression of biosynthetic and degrading enzymes of AEA (NAPE-PLD and FAAH, respectively) and of 2-AG (DAGLα and MAGL, respectively), as well as their binding cannabinoid receptors (CB1 and CB2), did not change between testes and among groups, a significant downregulation of vanilloid (TRPV1) expression was recorded in left testes of VAR rats and positively correlated with animal fertility. Interestingly, an ANN trained by inserting the left and right testicular ECS gene expression profiles (inputs) was able to predict varicocele impact on male fertility in terms of mean number of new-borns delivered (outputs), with a very high accuracy (average prediction error of 1%). The present study provides unprecedented information on testicular ECS gene expression patterns during varicocele, by developing a freely available predictive ANN model that may open new perspectives in the diagnosis of varicocele-associated infertility.

scholarly journals Transcriptome sequencing and analysis reveals the molecular response to selenium stimuli in Pueraria lobata (willd.) Ohwi

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8768 ◽  
Author(s):  
Kunyuan Guo ◽  
Yiwei Yao ◽  
Meng Yang ◽  
Yanni Li ◽  
Bin Wu ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Pearson Correlation ◽  
Expression Patterns ◽  
Phosphate Transporter ◽  
Molecular Response ◽  
Pueraria Lobata ◽  
Rna Seq ◽  
Structural Genes ◽  
Ros Scavenging ◽  
Isoflavone Biosynthesis

Pueraria lobata (willd.) Ohwi is a consumable selenium-enriched plant used for medicinal purposes. The molecular response to selenium (Se) stimuli in P. lobata is currently unknown. We used RNA-Seq to identify potential genes involved in selenite metabolism and analyzed their expression profiles. We obtained a total of 150,567 unigenes, of which 90,961 were annotated, including 16 structural genes, 14 sulfate transporters, and 13 phosphate transporters that may be involved in Se metabolism, and 33 candidate structural genes involved in isoflavone biosynthesis. The genes with a —foldchange— >2 and q value <0.05 after sodium selenite treatment were identified as differentially expressed genes (DEGs). We obtained a total of 4,246 DEGs, which were enriched in GO terms that included “response to stimulus”, “response to stress”, “signal transduction”, “response to abiotic stimulus”, and “response to chemical”. Of the 4,246 DEGs, one sulfate transporter and five phosphate transporter genes involved Se metabolism, and nine structural genes involved in isoflavone biosynthesis were up-regulated. The expression patterns of 10 DEGs were selected randomly and validated using qRT-PCR. The Pearson Correlation Coefficient (r) was 0.86, indicating the reliability of RNA-Seq results. 22 Reactive Oxygen Species (ROS) scavenging DEGs were found, 11 of which were up-regulated. 436, 624 transcription factors (TFs) correlated with structural genes were identified that may be involved in Se and isoflavone biosynthesis, respectively, using r (r > 0.7 or r <  − 0.7). 556 TFs were related to at least one sulfate and phosphate transporter. Our results provided a comprehensive description of gene expression and regulation in response to Se stimuli in P. lobata.

scholarly journals Identification of Molecular Subgroups in Liver Cirrhosis by Gene Expression Profiles

2021 ◽  
Author(s):  
Ying-xue Zhang ◽  
Feng-xia Sun ◽  
Xiao-ling Li ◽  
Qing-hua Liu ◽  
Zi-meng Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Cirrhosis ◽  
Expression Analysis ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Receptor Interaction ◽  
Molecular Characteristics ◽  
Specific Gene ◽  
Subgroup Ii

Abstract Background: Cirrhosis is a common clinical chronic progressive liver disease and has become one of the main causes of death worldwide. The condition of liver cirrhosis is complex and there is also clinical heterogeneity. Identifying liver cirrhosis based on molecular characteristics has become a challenge.Methods: To reveal the potential molecular characteristics of different types of cirrhosis, we divided 79 patients with cirrhosis into 4 subgroups based on gene expression profiles. These gene expression profiles were retrieved from the mprehensive gene expression database. In addition, these subgroups showed different expression patterns. To reveal the differences between subgroups, we used weighted gene co-expression analysis and identified six subgroup-specific gene co-expression analysis modules.Results: The characteristics ofWCGNAmodules indicate that TGF - β signaling pathway,viral protein interaction with cytokines and cytokine receptors, including a variety of chemokines and inflammatory factors, are upregulated in subgroup I, indicating that subjects in subgroup I may show inflammatory characteristics; fatty acid metabolism, biosynthesis of cofactors, carbon metabolism and protein processing pathway in endoplasmic reticulum were significantly enriched in subgroup II, which indicated that the subjects in subgroup II might have the characteristics of active metabolism; arrhythmogenic right ventricular cardiomyopathy and Neuroactive ligand−receptor interaction are significantly enriched in subgroup IV; we did not find a significant upregulation pathway in the third subgroup.Conclusion: The subgroups classification of liver cirrhosis cases shows that patients from different subgroups may have unique gene expression patterns, which indicates that patients in each subgroup should receive more personalized treatment.

scholarly journals RNA-Seq-Based Gene Expression Pattern and Morphological Alterations in Chick Thymus during Postnatal Development

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Zhouyiyuan Xue ◽  
Abdur Rahman Ansari ◽  
Xing Zhao ◽  
Kun Zang ◽  
Yu Liang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signaling Pathways ◽  
Postnatal Development ◽  
Expression Pattern ◽  
Expression Patterns ◽  
Critical Role ◽  
Gene Expression Pattern ◽  
Receptor Interaction ◽  
Rna Seq ◽  
Morphological Alterations

The thymus is a lobulated unique lymphoid immune organ that plays a critical role in the selection, development, proliferation, and differentiation of T cells. The thymus of developing chickens undergoes continued morphological alterations; however, the biomolecular and transcriptional dynamics of the postnatal thymus in avian species is not clear yet. Therefore, the thymuses from chickens at different stages of development (at weeks 0, 1, 5, 9, 18, and 27) were used in the present study. The RNA-seq method was used to study the gene expression patterns. On average, 24120819 clean reads were mapped, differentially expressed genes (DEGs) were identified on the basis of log values (fold change), including 744 upregulated and 425 downregulated genes. The expression pattern revealed by RNA-seq was validated by quantitative real-time PCR (qPCR) analysis of four important genes, which are PCNA, CCNA2, CCNB2, and CDK1. Thus, the current study revealed that during postnatal development, the thymus undergoes severe atrophy. Thymus structure was damaged and gene expression changed dramatically, especially at the 27th week of age. Moreover, we found significant changes of several signaling pathways such as the cytokine-cytokine receptor interaction and cell cycle signaling pathways. Hence, it may be inferred that those signaling pathways might be closely related to the postnatal chicken thymus development.

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