scholarly journals Transcription and Cancer in Eukaryotes

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Junyao Sun ◽  
Tyler David Perdue ◽  
Kevin Quick

Organisms demand pinpoint and correlated gene expression controls for growth, advancement, and operation. This control is also known as transcriptional regulation. It is a complicated process especially in eukaryotes since it is responsible for all biological processes. Transcription control and its concept were brought up about half a century ago1. These concepts gave a basic understanding on DNA binding transcription factors (trans-factors) which inhabit specific DNA sequences at control elements (cis-elements). They regulate transcription apparatus2. Mis-regulation of transcription may cause failure of gene expression that is responsible for cell division, through disproportionate activation of once positively acting transcriptional factors and nuclear oncogenes3. Epigenetic is learning heritable alterations in gene expression that do not occur and involve in DNA sequence. These changes can be established all the time almost randomly, and alternations are passed and inherited through cell division and replication, allowing cells to have different identities while having the same genetic sequence. Due to loss of epigenetic control and failure of keeping proper epigenetic marks, which result in inappropriate activation and will lead to disease state including cancer4. This review focuses on transcriptions, epigenetics, cancers, and potential therapies to regulate and control cancer cells.

2004 ◽  
Vol 32 (6) ◽  
pp. 967-972 ◽  
Author(s):  
C.J. McInerny

A fundamental process in biology is the mechanism by which cells duplicate and divide to produce two identical daughter cells. The fission yeast, Schizosaccharomyces pombe, has proved to be an excellent model organism to study the role that gene expression plays in this process. The basic paradigm emerging is that a number of groups of genes are expressed in successive waves at different cell cycle times. Transcription of a particular group is controlled by a common DNA motif present in each gene's promoter, bound by a transcription factor complex. Each motif and transcription factor complex is specific to the time in the cell cycle when the group of genes is expressed. Examples of this are the MBF (MCB-binding factor)/MCB (MluI cell cycle box) system controlling gene expression at the start of S-phase, and PBF (PCB-binding factor)/PCB (Pombe cell cycle box) regulation of transcription at the end of mitosis. In some cases, these transcription control systems also operate during the alternative form of cell division, meiosis.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6388 ◽  
Author(s):  
Asanigari Saleembhasha ◽  
Seema Mishra

Despite years of research, we are still unraveling crucial stages of gene expression regulation in cancer. On the basis of major biological hallmarks, we hypothesized that there must be a uniform gene expression pattern and regulation across cancer types. Among non-coding genes, long non-coding RNAs (lncRNAs) are emerging as key gene regulators playing powerful roles in cancer. Using TCGA RNAseq data, we analyzed coding (mRNA) and non-coding (lncRNA) gene expression across 15 and 9 common cancer types, respectively. 70 significantly differentially expressed genes common to all 15 cancer types were enlisted. Correlating with protein expression levels from Human Protein Atlas, we observed 34 positively correlated gene sets which are enriched in gene expression, transcription from RNA Pol-II, regulation of transcription and mitotic cell cycle biological processes. Further, 24 lncRNAs were among common significantly differentially expressed non-coding genes. Using guilt-by-association method, we predicted lncRNAs to be involved in same biological processes. Combining RNA-RNA interaction prediction and transcription regulatory networks, we identified E2F1, FOXM1 and PVT1 regulatory path as recurring pan-cancer regulatory entity. PVT1 is predicted to interact with SYNE1 at 3′-UTR; DNAJC9, RNPS1 at 5′-UTR and ATXN2L, ALAD, FOXM1 and IRAK1 at CDS sites. The key findings are that through E2F1, FOXM1 and PVT1 regulatory axis and possible interactions with different coding genes, PVT1 may be playing a prominent role in pan-cancer development and progression.


2020 ◽  
Author(s):  
Wei Han ◽  
Guo-liang Shen

Abstract Background: Skin Cutaneous Melanoma (SKCM) is known as an aggressive malignant cancer, which could be directly derived from melanocytic nevi. However, the molecular mechanisms underlying malignant transformation of melanocytes and melanoma tumor progression still remain unclear. Increasing researches showed significant roles of epigenetic modifications, especially DNA methylation, in melanoma. This study focused on identification and analysis of methylation-regulated differentially expressed genes (MeDEGs) between melanocytic nevus and malignant melanoma in genome-wide profiles. Methods: The gene expression profiling datasets (GSE3189 and GSE114445) and gene methylation profiling datasets (GSE86355 and GSE120878) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were identified via GEO2R. MeDEGs were obtained by integrating the DEGs and DMGs. Then, functional enrichment analysis of MeDEGs were performed. STRING and Cytoscape were used to describe protein-protein interaction(PPI) network. Furthermore, survival analysis was implemented to select the prognostic hub genes. Finally, we conducted gene set enrichment analysis (GSEA) of hub genes. Results: We identified 237 hypomethylated, upregulated genes and 182 hypermethylated, downregulated genes. Hypomethylation-upregulated genes were enriched in biological processes of the oxidation-reduction process, cell proliferation, cell division, phosphorylation, extracellular matrix disassembly and protein sumoylation. Pathway enrichment showed selenocompound metabolism, small cell lung cancer and lysosome. Hypermethylation-downregulated genes were enriched in biological processes of positive regulation of transcription from RNA polymerase II promoter, cell adhesion, cell proliferation, positive regulation of transcription, DNA-templated and angiogenesis. The most significantly enriched pathways involved the transcriptional misregulation in cancer, circadian rhythm, tight junction, protein digestion and absorption and Hippo signaling pathway. After PPI establishment and survival analysis, seven prognostic hub genes were CKS2, DTL, KIF2C, KPNA2, MYBL2, TPX2 and FBL. Moreover, the most involved hallmarks obtained by GSEA were E2F targets, G2M checkpoint and mitotic spindle. Conclusions: Our study identified potential aberrantly methylated-differentially expressed genes participating in the process of malignant transformation from nevus to melanoma tissues based on comprehensive genomic profiles. Transcription profiles of CKS2, DTL, KIF2C, KPNA2, MYBL2, TPX2 and FBL provided clues of aberrantly methylation-based biomarkers, which might improve the development of precise medicine.


2020 ◽  
Vol 4 (3) ◽  
pp. 343-354 ◽  
Author(s):  
Maria Hondele ◽  
Stephanie Heinrich ◽  
Paolo De Los Rios ◽  
Karsten Weis

Over the past years, liquid–liquid phase separation (LLPS) has emerged as a ubiquitous principle of cellular organization implicated in many biological processes ranging from gene expression to cell division. The formation of biological condensates, like the nucleolus or stress granules, by LLPS is at its core a thermodynamic equilibrium process. However, life does not operate at equilibrium, and cells have evolved multiple strategies to keep condensates in a non-equilibrium state. In this review, we discuss how these non-equilibrium drivers counteract solidification and potentially detrimental aggregation, and at the same time enable biological condensates to perform work and control the flux of substrates and information in a spatial and temporal manner.


2021 ◽  
Author(s):  
Cailin xue ◽  
Peng gao ◽  
Xudong zhang ◽  
Xiaohan cui ◽  
Lei jin ◽  
...  

Abstract Background: Abnormal methylation of DNA sequences plays an important role in the development and progression of pancreatic cancer (PC). The purpose of this study was to identify abnormal methylation genes and related signaling pathways in PC by comprehensive bioinformatic analysis of three datasets in the Gene Expression Omnibus (GEO). Methods: Datasets of gene expression microarrays (GSE91035, GSE15471) and gene methylation microarrays (GSE37480) were downloaded from the GEO database. Aberrantly methylated-differentially expressed genes (DEGs) were analysis by GEO2R software. GO and KEGG enrichment analyses of selected genes were performed using DAVID database. A protein–protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. Core module analysis was performed by Mcode in Cytoscape. Hub genes were obtained by CytoHubba app. in Cytoscape software. Results: A total of 267 hypomethylation-high expression genes, which were enriched in biological processes of cell adhesion, biological adhesion and regulation of signaling were obtained. KEGG pathway enrichment showed ECM-receptor interaction, Focal adhesion and PI3K-Akt signaling pathway. The top 5 hub genes of PPI network were EZH2, CCNA2, CDC20, KIF11, UBE2C. As for hypermethylation-low expression genes, 202 genes were identified, which were enriched in biological processes of cellular amino acid biosynthesis process and positive regulation of PI3K activity, etc. The pathways enriched were the pancreatic secretion and biosynthesis of amino acids pathways, etc. The five significant hub genes were DLG3, GPT2, PLCB1, CXCL12 and GNG7. In addition, five genes, including CCNA2, KIF11, UBE2C, PLCB1 and GNG7, significantly associated with patient's prognosis were also identified. Conclusion: Novel genes with abnormal expression were identified, which will help us further understand the molecular mechanism and related signaling pathways of PC, and these aberrant genes could possibly serve as biomarkers for precise diagnosis and treatment of PC.


Author(s):  
Simara Larissa Fanalli ◽  
Bruna Pereira Martins da Silva ◽  
Bruna Petry ◽  
Miguel Henrique de Almeida Santana ◽  
Guilherme Henrique Gebim Polizel ◽  
...  

Studies on the influence of dietary components and their effects are fundamental for nutrigenomics, or the study of how nutrients can be cellular sensors, how they affect biological processes and gene expression in different tissues. Lipids are an important source of fatty acids (FA) and energy and are fundamental to biological processes and influence the regulation of transcription. Pigs are excellent model to study nutrigenomics, particularly lipid metabolism because the deposition and composition of FA in their tissues reflect the composition of FA in their diet. Recent studies show that FA supplementation is important in production systems, such as growing and finishing pigs, as it can improve the energy value of the feed, help reduce costs, improve animal welfare, and influence the nutritional value of the meat. Studies show that oleic (OA), linoleic (LA), docosahexaenoic (DHA), and eicosapentaenoic (EPA) acids are associated with the regulation of transcription in tissues such as muscle, liver, adipose tissue, and brain. Other studies indicate that EPA and DHA are associated with changes in specific signaling pathways, altering gene expression and biophysical properties of membranes. This review, therefore, focuses on the current knowledge of the effects of dietary FA on production traits and gene expression.


2014 ◽  
Vol 15 (1) ◽  
pp. 4-18
Author(s):  
Robin E. Williamson

Understanding the genetics of hearing loss can improve the quantity and quality of the information that those who work with individuals with hearing loss can share with their patients and clients. This understanding must start with a basic understanding of genetics in general. The general concepts of genetics can then be applied to the specific genes and proteins that are part of the hearing process, disruption of which can cause hearing loss. This article starts with a description of the central principal or mantra of genetics: “DNA to RNA to Protein.” Double-stranded deoxyribonucleic acid (DNA) in the nucleus of a cell is used as a template from which ribonucleic acid (RNA) is transcribed, or expressed. RNA transcribed from DNA instructions moves from inside the cellular nucleus out into the cytoplasm where it can then translated into a protein. Proteins are the main functional components in cells. In general, they are what implement and control cellular processes. Each step in this process from DNA to RNA to protein is carefully regulated, and a small mistake or change in any component or step can make a big difference. This article finishes by describing how small changes can cause hearing loss.


2013 ◽  
Vol 394 (11) ◽  
pp. 1399-1410 ◽  
Author(s):  
Ehsan Amin ◽  
Badri Nath Dubey ◽  
Si-Cai Zhang ◽  
Lothar Gremer ◽  
Radovan Dvorsky ◽  
...  

Abstract In a variety of normal and pathological cell types, Rho-kinases I and II (ROCKI/II) play a pivotal role in the organization of the nonmuscle and smooth muscle cytoskeleton and adhesion plaques as well as in the regulation of transcription factors. Thus, ROCKI/II activity regulates cellular contraction, motility, morphology, polarity, cell division, and gene expression. Emerging evidence suggests that dysregulation of the Rho-ROCK pathways at different stages is linked to cardiovascular, metabolic, and neurodegenerative diseases as well as cancer. This review focuses on the current status of understanding the multiple functions of Rho-ROCK signaling pathways and various modes of regulation of Rho-ROCK activity, thereby orchestrating a concerted functional response.


2018 ◽  
Author(s):  
Rossella Annunziata ◽  
Andrés Ritter ◽  
Antonio Emidio Fortunato ◽  
Soizic Cheminant-Navarro ◽  
Nicolas Agier ◽  
...  

ABSTRACTPeriodic light-dark cycles govern the timing of basic biological processes in organisms inhabiting land as well as the sea, where life evolved. Although prominent marine phytoplanktonic organisms such as diatoms show robust diurnal rhythms in growth, cell cycle and gene expression, the molecular foundations controlling these processes are still obscure. By exploring the regulatory landscape of diatom diurnal rhythms, we unveil the function of aPhaeodactylum tricornutumbHLH-PAS protein,PtbHLH1a, in the regulation of light-dependent diurnal rhythms. Peak expression ofPtbHLH1amRNA occurs toward the end of the light period and it adjusts to photoperiod changes. Ectopic over-expression ofPtbHLH1a results in lines showing a phase shift in diurnal cell fluorescence, compared to the wild-type cells, and with altered cell cycle progression and gene expression. Reduced oscillations in gene expression are also observed in overexpression lines compared to wild-type in continuous darkness, showing that the regulation of rhythmicity byPtbHLH1a is not directly dependent on light inputs and cell division.PtbHLH1a homologs are widespread in diatom genomes which may indicate a common function in many species. This study adds new elements to understand diatom biology and ecology and offers new perspectives to elucidate timekeeping mechanisms in marine organisms belonging to a major, but underinvestigated branch of the tree of life.SIGNIFICANCE STATEMENTMost organisms experience diurnal light-dark changes and show rhythms of basic biological processes such that they occur at optimal times of the day. The ocean harbours a huge diversity of organisms showing light-dependent rhythms, but their molecular foundations are still largely unknown. In this study, we discover a novel protein,PtbHLH1a that regulates cell division, gene expression and the diurnal timing of these events in the marine diatomPhaedoactylum tricornutum. The identification ofPtbHLH1a-like genes in many diatom species suggests a conserved function in diurnal rhythm regulation in the most species-rich group of algae in the ocean. This study unveils critical features of diatom biology and advances the field of marine rhythms and their environmental regulation.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3245-3245
Author(s):  
Simone E Dekker ◽  
Ted Bambakidis ◽  
Martin Sillesen ◽  
Baoling Liu ◽  
Yongqing Li ◽  
...  

Abstract Introduction: Traumatic brain injury (TBI) results in widespread impairment of hemostasis, fibrinolysis, coagulation, endothelial function, and immune function. While damage control resuscitation (DCR) is a well-established treatment strategy for life-threatening hemorrhage, alternative treatment strategies should be applied to patients with concurrent TBI. Commonly used resuscitation fluids such as crystalloids or colloids have several disadvantages and may even be harmful when administered in large quantities. In contrast, pharmacologic agents, such as the histone deacetylase inhibitor valproic acid (VPA), have shown promising results in animal studies of TBI and hemorrhagic shock (HS). We previously showed that VPA not only decreases platelet hyper-activation and improves clot dynamics in in-vitro experiments, but also decreases transfusion requirements and improves survival in a porcine DCR model. In those animal models, VPA was administered in conjunction with fluid resuscitation such as fresh frozen plasma (FFP) or hextend (HEX). However, we wondered whether VPA itself induces cytoprotective properties that may underlie the restoration of hemostasis, endothelial function, and immune function that we observed in our models. This meta-analysis used computational biology to identify changes in the brain transcriptome due to VPA treatment that occurred independent of the chosen transfusion fluid. Methods: Swine underwent TBI+HS, kept in shock for 2 hours, and resuscitated with normal saline (control), FFP, FFP+VPA, HEX, or HEX+VPA (n=5/group; all VPA doses 300 mg/kg). After 6 hours of observation, brain RNA was isolated and gene expression was analyzed using a microarray. Gene expression data were normalized to a normal saline control group. Transcriptomic data were imported into iPathwayGuide to identify significantly enriched genes and Gene Ontology (GO) terms. Genes were considered to be differentially expressed if they exhibited a log-fold change (logFC) > 1.0 (fold change > 2) and a p-value < 0.05. The differences in gene expression where then summarized in a Venn-diagram. GO terms identified the Biological Processes with the greatest modulation based on both significance and number of DE genes. GO term P-values were corrected using Elim-pruning. Results: A total of 673 differentially expressed genes were identified. The FFP+VPA group exhibited 206 uniquely expressed genes and the HEX+VPA group 121. We found a total of 113 genes that were expressed in both the FFP+VPA and HEX+VPA groups, but not in the FFP and HEX only groups (Figure). Table 1 summarizes the 10 most up- and down-regulated genes that are only expressed in VPA groups (i.e. FFP+VPA and HEX+VPA). Unregulated genes specifically associated with VPA were involved in promotion of cell division, neurogenesis, cytoskeleton, and ion-channels, while down-regulated genes were involved in metalloproteins, neurodegenerative diseases, and cell cycle arrest. Significantly modulated Biological Processes identified by GO terms include: erythrocyte maturation, macrophage activation, microglial cell proliferation, signal transduction by P53, fibrinolysis and plasminogen activation, fibroblast migration, and neurogenesis. Conclusion: Overall, this meta-analysis suggests that VPA altered the expression of approximately 1/6 th of all genes that were differentially expressed in our cohort. These genes are involved in a variety of biological processes such as cell division, neurogenesis, coagulation, cytoskeleton, and inflammation. These results suggest that VPA treatment may promote an environment that favors the restoration of hemostasis, production of new neurons, removal of damaged cells, and attenuation of inflammation. Such findings suggest that VPA treatment alone may be a promising therapeutic for the treatment of life-threatening hemorrhage and TBI. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


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