Total Platelet Transcriptomics and Its Network Analysis by RNA-Seq and miRNA-Seq and PCA Application in Essential Thrombocythaemia

2020 ◽  
pp. 1-8
Author(s):  
Kyung Chul Moon ◽  
Jeong-An Gim ◽  
Dae Sik Kim ◽  
Chul Won Choi ◽  
Jung Yoon ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Target Genes ◽  
Thrombus Formation ◽  
Myeloproliferative Neoplasms ◽  
Expression Patterns ◽  
Principal Component ◽  
Inverse Correlation ◽  
Essential Thrombocythaemia ◽  
Aberrant Expression ◽  
Healthy Control

Differentiating the aetiology of thrombocytosis is limited yet crucial in patients with essential thrombocythaemia (ET). MicroRNAs (miRNAs) regulate haematopoiesis and lineage commitment; aberrant expression of miRNAs plays an important role in myeloproliferative neoplasms. However, the miRNA profile has been poorly explored in ET patients compared to patients with reactive thrombocytosis (RT). A total of 9 samples, including 5 ET patient samples, 2 RT patient samples, and 2 healthy control samples, were analysed in this study. We produced 81.43 million reads from transcripts and 59.60 million reads from small RNAs. We generated a comprehensive miRNA-mRNA regulatory network and identified unique 14 miRNA expression patterns associated with ET. Among the 14 miRNAs, miR-1268a was downregulated in ET and showed an inverse correlation with its 8 putative target genes, including genes associated with thrombus formation and platelet activation (<i>CDH6, EHD2, FUT1, KIF26A, LINC00346, PTPRN, SERF1A,</i> and <i>SLC6A9</i>). Principal component analysis (PCA) showed ET and non-ET groups well clustered in space, suggesting each group had a distinctive expression pattern of mRNAs and miRNAs. These results suggest that the significant dysregulation of miR-1268a and its 8 target genes could be a unique expression of platelet mi­RNAs and miRNA/mRNA regulatory network in ET patients.

scholarly journals Histone deacetylase (HDAC) 9: versatile biological functions and emerging roles in human cancer

2021 ◽  
Author(s):  
Chun Yang ◽  
Stéphane Croteau ◽  
Pierre Hardy
Keyword(s):  
Histone Deacetylase ◽  
Posttranslational Modifications ◽  
Histone Deacetylases ◽  
Muscle Development ◽  
Target Genes ◽  
Human Cancer ◽  
Expression Patterns ◽  
Aberrant Expression ◽  
Physiological Processes ◽  
Cancer Pathogenesis

Abstract Background HDAC9 (histone deacetylase 9) belongs to the class IIa family of histone deacetylases. This enzyme can shuttle freely between the nucleus and cytoplasm and promotes tissue-specific transcriptional regulation by interacting with histone and non-histone substrates. HDAC9 plays an essential role in diverse physiological processes including cardiac muscle development, bone formation, adipocyte differentiation and innate immunity. HDAC9 inhibition or activation is therefore a promising avenue for therapeutic intervention in several diseases. HDAC9 overexpression is also common in cancer cells, where HDAC9 alters the expression and activity of numerous relevant proteins involved in carcinogenesis. Conclusions This review summarizes the most recent discoveries regarding HDAC9 as a crucial regulator of specific physiological systems and, more importantly, highlights the diverse spectrum of HDAC9-mediated posttranslational modifications and their contributions to cancer pathogenesis. HDAC9 is a potential novel therapeutic target, and the restoration of aberrant expression patterns observed among HDAC9 target genes and their related signaling pathways may provide opportunities to the design of novel anticancer therapeutic strategies.

scholarly journals Genetic and epigenetic concept of SARS-CoV-2 targets in different renal cancer subtypes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Dilara Fatma Akin-Bali ◽  
Rahşan Ilikci Sagkan
Keyword(s):  
Renal Cancer ◽  
Promoter Methylation ◽  
Target Genes ◽  
Expression Patterns ◽  
Rna Expression ◽  
Total Rate ◽  
Cancer Subtypes ◽  
Genetic Landscape ◽  
Healthy Control ◽  
Genetic Anomaly

AbstractObjectivesRecent advances in defining the genetic landscape of has shown the host cell- SARS-CoV-2 interaction via ACE2 protein and the presence of at least three additional virus invasion genes including TMPRSS2, FURIN, CD147/BSG. In current study, we investigated the mutation and m-RNA expression patterns of target genes by evaluating the associations between genetic and epigenetic mechanisms in the target genes and susceptibility of SARS-CoV-2 infection of renal cancer subtypes.MethodsWe investigated the mutation and m-RNA expression patterns of our target genes. The promoter methylation profiles of target genes were tested in the UALCAN database.ResultsThe total rate of carrying genetic anomaly in the target genes including was 1.6% and seven mutations, one of which had a pathogenic feature, were detected. The expression analysis results in renal cancer groups showed that while the KIRC and KIRP patients had a lower level of TMPRSS2 than the healthy control, their ACE2 level was high. KICH patients had a higher level of CD147/BSG expression than the healthy group. The promoter methylation levels of ACE2 in KIRC and KIRP were reduced.ConclusionsWe concluded that renal cancer patients may be more sensitive to SARS-CoV-2 infection, which may worsen the prognosis.

scholarly journals Identification of the Q Gene Playing a Role in Spike Morphology Variation in Wheat Mutants and Its Regulatory Network

2022 ◽  
Vol 12 ◽  
Author(s):  
Jiazi Zhang ◽  
Hongchun Xiong ◽  
Huijun Guo ◽  
Yuting Li ◽  
Xiaomei Xie ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Patterns ◽  
Spike Morphology ◽  
Regulatory Pathways ◽  
Dynamic Expression ◽  
Spike Development ◽  
Family Gene ◽  
Q Gene

The wheat AP2 family gene Q controls domestication traits, including spike morphology and threshability, which are critical for the widespread cultivation and yield improvement of wheat. Although many studies have investigated the molecular mechanisms of the Q gene, its direct target genes, especially those controlling spike morphology, are not clear, and its regulatory pathways are not well established. In this study, we conducted gene mapping of a wheat speltoid spike mutant and found that a new allele of the Q gene with protein truncation played a role in spike morphology variation in the mutant. Dynamic expression levels of the Q gene throughout the spike development process suggested that the transcript abundances of the mutant were decreased at the W6 and W7 scales compared to those of the WT. We identified several mutation sites on the Q gene and showed that mutations in different domains resulted in distinct phenotypes. In addition, we found that the Q gene produced three transcripts via alternative splicing and that they exhibited differential expression patterns in nodes, internodes, flag leaves, and spikes. Finally, we identified several target genes directly downstream of Q, including TaGRF1-2D and TaMGD-6B, and proposed a possible regulatory network. This study uncovered the target genes of Q, and the results can help to clarify the mechanism of wheat spike morphology and thereby improve wheat grain yield.

Transcriptional regulatory network analysis of developing human erythroid progenitors reveals patterns of coregulation and potential transcriptional regulators

2006 ◽  
Vol 28 (1) ◽  
pp. 114-128 ◽  
Author(s):  
M. A. Keller ◽  
S. Addya ◽  
R. Vadigepalli ◽  
B. Banini ◽  
K. Delgrosso ◽  
...  
Keyword(s):  
Network Analysis ◽  
Blood Cell ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Patterns ◽  
Transcriptional Regulators ◽  
Erythroid Progenitors ◽  
Hematopoietic Stem ◽  
Transcriptional Regulatory

Deciphering the molecular basis for human erythropoiesis should yield information benefiting studies of the hemoglobinopathies and other erythroid disorders. We used an in vitro erythroid differentiation system to study the developing red blood cell transcriptome derived from adult CD34+ hematopoietic progenitor cells. mRNA expression profiling was used to characterize developing erythroid cells at six time points during differentiation ( days 1, 3, 5, 7, 9, and 11). Eleven thousand seven hundred sixty-three genes (20,963 Affymetrix probe sets) were expressed on day 1, and 1,504 genes, represented by 1,953 probe sets, were differentially expressed (DE) with 537 upregulated and 969 downregulated. A subset of the DE genes was validated using real-time RT-PCR. The DE probe sets were subjected to a cluster metric and could be divided into two, three, four, five, or six clusters of genes with different expression patterns in each cluster. Genes in these clusters were examined for shared transcription factor binding sites (TFBS) in their promoters by comparing enrichment of each TFBS relative to a reference set using transcriptional regulatory network analysis. The sets of TFBS enriched in genes up- and downregulated during erythropoiesis were distinct. This analysis identified transcriptional regulators critical to erythroid development, factors recently found to play a role, as well as a new list of potential candidates, including Evi-1, a potential silencer of genes upregulated during erythropoiesis. Thus this transcriptional regulatory network analysis has yielded a focused set of factors and their target genes whose role in differentiation of the hematopoietic stem cell into distinct blood cell lineages can be elucidated.

scholarly journals Aberrant Expression of Long Non-Coding RNAs in Newly Diagnosed Type 2 Diabetes Indicates Potential Roles in Chronic Inflammation and Insulin Resistance

2017 ◽  
Vol 43 (6) ◽  
pp. 2367-2378 ◽  
Author(s):  
Xiaoli Wang ◽  
Xiangyun Chang ◽  
Peipei Zhang ◽  
Ling Fan ◽  
Ting Zhou ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Target Genes ◽  
Chinese Patients ◽  
Control Group ◽  
Newly Diagnosed ◽  
Aberrant Expression ◽  
Healthy Control ◽  
Non Coding Rnas

Background/Aims: Long non-coding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases. The risk of type 2 diabetes (T2D) is determined by a combination of environmental factors and genetic susceptibility. The purpose of this study was to identify aberrant lncRNAs involved in T2D pathogenesis. Methods: Microarray analysis was performed using whole blood samples from patients newly diagnosed with T2D and healthy controls. Pathway and Gene Ontology (GO) analyses were utilized to annotate the target genes. Coding non-coding co-expression (CNC) analysis was performed to construct a co-expression network. Results: We found 55 lncRNAs and 202 mRNAs were differentially expressed in the T2D group compared to the healthy control group. Pathway and GO analyses demonstrated that dysregulated mRNAs were mainly associated with immune regulation, inflammation, and insulin resistance, whereas CNC analysis identified 10 pairs of co-expressed lncRNA-mRNAs in our patient cohort (R > 0.99). Furthermore, expression of the top three upregulated lncRNAs in the T2D group was correlated with measures of glycometabolism (P < 0.05). Conclusion: This study identified aberrantly expressed lncRNAs and mRNAs in Han Chinese patients with T2D, and demonstrated that dysregulated lncRNAs may have roles in T2D pathogenesis through regulation of inflammation and insulin resistance.

scholarly journals Role of miR-10b-5p in the prognosis of breast cancer

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7728 ◽  
Author(s):  
Junmin Wang ◽  
Yanyun Yan ◽  
Zhiqi Zhang ◽  
Yali Li
Keyword(s):  
Breast Cancer ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Cancer Development ◽  
Clinicopathological Parameters ◽  
Aberrant Expression ◽  
Expression Levels ◽  
Ppi Networks

Breast cancer is the leading cause of cancer-related death in women worldwide. Aberrant expression levels of miR-10b-5p in breast cancer has been reported while the molecular mechanism of miR-10b-5p in tumorigenesis remains elusive. Therefore, this study was aimed to investigate the role of miR-10b-5p in breast cancer and the network of its target genes using bioinformatics analysis. In this study, the expression profiles and prognostic value of miR-10b-5p in breast cancer were analyzed from public databases. Association between miR-10b-5p and clinicopathological parameters were analyzed by non-parametric test. Moreover, the optimal target genes of miR-10b-5p were obtained and their expression patterns were examined using starBase and HPA database. Additionally, the role of these target genes in cancer development were explored via Cancer Hallmarks Analytics Tool (CHAT). The protein–protein interaction (PPI) networks were constructed to further investigate the interactive relationships among these genes. Furthermore, GO, KEGG pathway and Reactome pathway analyses were carried out to decipher functions of these target genes. Results demonstrated that miR-10b-5p was down-regulated in breast cancer and low expression of miR-10b-5p was significantly correlated to worse outcome. Five genes, BIRC5, E2F2, KIF2C, FOXM1, and MCM5, were considered as potential key target genes of miR-10b-5p. As expected, higher expression levels of these genes were observed in breast cancer tissues than in normal tissues. Moreover, analysis from CHAT revealed that these genes were mainly involved in sustaining proliferative signaling in cancer development. In addition, PPI networks analysis revealed strong interactions between target genes. GO, KEGG, and Reactome pathway analysis suggested that these target genes of miR-10b-5p in breast cancer were significantly involved in cell cycle. Predicted target genes were further validated by qRT-PCR analysis in human breast cancer cell line MDA-MB-231 transfected with miR-10b mimic or antisense inhibitors. Taken together, our data suggest that miR-10b-5p functions to impede breast carcinoma progression via regulation of its key target genes and hopefully serves as a potential diagnostic and prognostic marker for breast cancer.

scholarly journals Genome-Wide Phylogenetic Analysis, Expression Pattern, and Transcriptional Regulatory Network of the Pig C/EBP Gene Family

2021 ◽  
Vol 17 ◽  
pp. 117693432110413
Author(s):  
Chaoxin Zhang ◽  
Tao Wang ◽  
Tongyan Cui ◽  
Shengwei Liu ◽  
Bing Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Phylogenetic Analysis ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Patterns ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Genome Wide ◽  
A Genome

The CCAAT/enhancer binding protein (C/EBP) transcription factors (TFs) regulate many important biological processes, such as energy metabolism, inflammation, cell proliferation etc. A genome-wide gene identification revealed the presence of a total of 99 C/EBP genes in pig and 19 eukaryote genomes. Phylogenetic analysis showed that all C/EBP TFs were classified into 6 subgroups named C/EBPα, C/EBPβ, C/EBPδ, C/EBPε, C/EBPγ, and C/EBPζ. Gene expression analysis showed that the C/EBPα, C/EBPβ, C/EBPδ, C/EBPγ, and C/EBPζ genes were expressed ubiquitously with inconsistent expression patterns in various pig tissues. Moreover, a pig C/EBP regulatory network was constructed, including C/EBP genes, TFs and miRNAs. A total of 27 feed-forward loop (FFL) motifs were detected in the pig C/EBP regulatory network. Based on the RNA-seq data, gene expression patterns related to FFL sub-network were analyzed in 27 adult pig tissues. Certain FFL motifs may be tissue specific. Functional enrichment analysis indicated that C/EBP and its target genes are involved in many important biological pathways. These results provide valuable information that clarifies the evolutionary relationships of the C/EBP family and contributes to the understanding of the biological function of C/EBP genes.

scholarly journals Comprehensive Annotation and Functional Exploration of MicroRNAs in Lettuce

2021 ◽  
Vol 12 ◽  
Author(s):  
Yang Deng ◽  
Yajuan Qin ◽  
Pan Yang ◽  
Jianjun Du ◽  
Zheng Kuang ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Regulatory Networks ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Computational Prediction ◽  
Regulatory Relationship ◽  
Specific Expression ◽  
Economic Significance ◽  
Specific Expression Pattern

MicroRNA (miRNA) is an important endogenous post-transcriptional regulator, while lettuce (Lactuca sativa) is a leafy vegetable of global economic significance. However, there are few studies on miRNAs in lettuce, and research on miRNA regulatory network in lettuce is absent. In this study, through deep sequencing of small RNAs in different tissues, together with a reference genome, 157 high-confidence miRNA loci in lettuce were comprehensively identified, and their expression patterns were determined. Using a combination of computational prediction and high-throughput experimental verification, a set of reliable lettuce miRNA targets were obtained. Furthermore, through RNA-Seq, the expression profiles of these targets and a comprehensive view of the negative regulatory relationship between miRNAs and their targets was acquired based on a correlation analysis. To further understand miRNA functions, a miRNA regulatory network was constructed, with miRNAs at the core and combining transcription factors and miRNA target genes. This regulatory network, mainly composed of feed forward loop motifs, greatly increases understanding of the potential functions of miRNAs, and many unknown potential regulatory links were discovered. Finally, considering its specific expression pattern, Lsa-MIR408 as a hub gene was employed to illustrate the function of the regulatory network, and genetic experiments revealed its ability to increase the fresh weight and achene size of lettuce. In short, this work lays a solid foundation for the study of miRNA functions and regulatory networks in lettuce.

scholarly journals Genome-wide phylogenetic analysis, expression pattern, and transcriptional regulatory network of the pig C/EBP gene family

2020 ◽  
Author(s):  
Chaoxin Zhang ◽  
Tao Wang ◽  
Shengwei Liu ◽  
Bing Zhang ◽  
Xue Li ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Patterns ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Rna Seq ◽  
Group I

Abstract Background: The vertebrate C/EBP transcription factors regulate many important biological processes, such as cell proliferation, differentiation, signal transduction, inflammation, and energy metabolism. The first C/EBP protein was identified in rat liver nuclei. Development of sequencing technology resulted in identification of the C/EBP genes in various species. In this study, a bioinformatics approach was used to determine the distribution of the members of the C/EBP family in vertebrates. A phylogenetic tree was constructed to analyze the C/EBP genes in vertebrates. Based on RNA-seq data, the expression patterns of pig C/EBP members in various tissues were analyzed. In addition, a gene transcription regulatory network was constructed with pig C/EBP members as the core.Results: We identified a total of 92 C/EBP genes in 17 vertebrate genomes. Phylogenetic analysis showed that all C/EBP TFs were classified into two groups; group I contained C/EBPβ TFs, and group II contained the remaining C/EBP TFs. The C/EBPα, C/EBPβ, C/EBPδ, C/EBPγ, and C/EBPζ genes were expressed ubiquitously with inconsistent expression patterns in various tissues. Moreover, a pig C/EBP regulatory network was constructed, including C/EBP genes, TFs, and miRNAs. A total of 39 FFL motifs were detected in the pig C/EBP regulatory network. Based on the RNA-seq data, gene expression patterns related to this FFL sub-network were analyzed in 27 adult Duroc tissues. Certain FFL motifs may be tissue specific. Functional enrichment analysis indicated that C/EBP and its target genes are involved in many important biological pathways. Conclusions: These results provide valuable information that clarifies the evolutionary relationships of the C/EBP family and contributes to the understanding of the biological function of C/EBP genes.

scholarly journals Gene co-regulation and co-expression in the aryl hydrocarbon receptor-mediated transcriptional regulatory network in the mouse liver

2019 ◽  
Vol 94 (1) ◽  
pp. 113-126 ◽  
Author(s):  
Navya Josyula ◽  
Melvin E. Andersen ◽  
Norbert E. Kaminski ◽  
Edward Dere ◽  
Timothy R. Zacharewski ◽  
...  
Keyword(s):  
Aryl Hydrocarbon Receptor ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Patterns ◽  
Cellular Stress Response ◽  
Proximal Promoter ◽  
Promoter Regions ◽  
Aryl Hydrocarbon ◽  
Transcriptional Regulatory

AbstractFour decades after its discovery, the aryl hydrocarbon receptor (AHR), a ligand-inducible transcription factor (TF) activated by the persistent environmental contaminant 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD), remains an enigmatic molecule with a controversial endogenous role. Here, we have assembled a global map of the AHR gene regulatory network in female C57BL/6 mice orally gavaged with 30 µg/kg of TCDD from a combination of previously published gene expression and genome-wide TF-binding data sets. Using Kohonen self-organizing maps and subspace clustering, we show that genes co-regulated by common upstream TFs in the AHR network exhibit a pattern of co-expression. Directly bound, indirectly bound, and non-genomic AHR target genes exhibit distinct expression patterns, with the directly bound targets associated with highest median expression. Interestingly, among the directly bound AHR target genes, the expression level increases with the number of AHR-binding sites in the proximal promoter regions. Finally, we show that co-regulated genes in the AHR network activate distinct groups of downstream biological processes. Although the specific findings described here are restricted to hepatic effects under short-term TCDD exposure, this work describes a generalizable approach to the reconstruction and analysis of transcriptional regulatory cascades underlying cellular stress response, revealing network hierarchy and the nature of information flow from the initial signaling events to phenotypic outcomes. Such reconstructed networks can form the basis of a new generation of quantitative adverse outcome pathways.

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