scholarly journals A Computational Framework to Identify Transcriptional and Network Differences between Hepatocellular Carcinoma and Normal Liver Tissue and Their Applications in Repositioning Drugs

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Aimin Hu ◽  
Zheng Wei ◽  
Zuxiang Zheng ◽  
Bichao Luo ◽  
Jieming Yi ◽  
...  

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies worldwide. Although there have been extensive studies on the molecular mechanisms of its carcinogenesis, FDA-approved drugs for HCC are rare. Side effects, development time, and cost of these drugs are the major bottlenecks, which can be partially overcome by drug repositioning. In this study, we developed a computational framework to study the mechanisms of HCC carcinogenesis, in which drug perturbation-induced gene expression signatures were utilized for repositioning of potential drugs. Specifically, we first performed differential expression analysis and coexpression network module analysis on the HCC dataset from The Cancer Genome Atlas database. Differential gene expression analysis identified 1,337 differentially expressed genes between HCC and adjacent normal tissues, which were significantly enriched in functions related to various pathways, including α-adrenergic receptor activity pathway and epinephrine binding pathway. Weighted gene correlation network analysis (WGCNA) suggested that the number of coexpression modules was higher in HCC tissues than in normal tissues. Finally, by correlating differentially expressed genes with drug perturbation-related signatures, we prioritized a few potential drugs, including nutlin and eribulin, for the treatment of hepatocellular carcinoma. The drugs have been reported by a few experimental studies to be effective in killing cancer cells.

2019 ◽  
Author(s):  
Xiang Cui ◽  
Chao Li ◽  
Chunshan Wei ◽  
Guangdong Tong ◽  
Yufeng Xing

Abstract Background: This research aimed to investigate the potential molecular mechanism of sorafenib resistance to hepatocellular carcinoma (HCC). Methods: Differential expression analysis were performed to identified differentially expressed genes (DEGs) in sorafenib resistant HCC. Then, a series of bioinformatic analysis were performed to explore the potential crucial molecules in sorafenib resistant HCC. For example, gene function annotation, pivot regulators prediction, ROC analysis and survival analysis. Results: There were 827 differentially expressed genes were identified. Moreover, most of the differentially expressed genes are involved in immune and inflammatory-related functions and signaling pathways. Also, 18 transcription factors were predicted to regulate the transcription factors of differentially expressed genes, which play an essential role in the regulation of dysfunctional gene networks. In target genes of transcription factors, CDK1 and CDKN1A have high diagnostic value in the resistance of hepatocellular carcinoma to sorafenib. Conclusions: TAPBP has the strongest correlation with drug resistance of hepatocellular carcinoma and the highest diagnostic efficiency. In addition, CDK1 and CDKN1A have high diagnostic value in the resistance of hepatocellular carcinoma to sorafenib. Overall, our analysis shows that a large number of gene disorders occur during the development of resistance to sorafenib in hepatocellular carcinoma, and they are associated with immune and inflammatory reactions in the body. These results provide critical theoretical references for the pathogenesis and diagnosis of sorafenib resistance.


2020 ◽  
Author(s):  
Na Li ◽  
Ru-feng Bai ◽  
Chun Li ◽  
Li-hong Dang ◽  
Qiu-xiang Du ◽  
...  

Abstract Background: Muscle trauma frequently occurs in daily life. However, the molecular mechanisms of muscle healing, which partly depend on the extent of the damage, are not well understood. This study aimed to investigate gene expression profiles following mild and severe muscle contusion, and to provide more information about the molecular mechanisms underlying the repair process.Methods: A total of 33 rats were divided randomly into control (n = 3), mild contusion (n = 15), and severe contusion (n = 15) groups; the contusion groups were further divided into five subgroups (1, 3, 24, 48, and 168 h post-injury; n = 3 per subgroup). Then full genome microarray of RNA isolated from muscle tissue was performed to access the gene expression changes during healing process.Results: A total of 2,844 and 2,298 differentially expressed genes were identified in the mild and severe contusion groups, respectively. The analysis of the overlapping differentially expressed genes showed that there are common mechanisms of transcriptomic repair of mild and severe contusion within 48 h post-contusion. This was supported by the results of principal component analysis, hierarchical clustering, and weighted gene co‐expression network analysis of the 1,620 coexpressed genes in mildly and severely contused muscle. From these analyses, we discovered that the gene profiles in functional modules and temporal clusters were similar between the mild and severe contusion groups; moreover, the genes showed time-dependent patterns of expression, which allowed us to identify useful markers of wound age. We then performed an analysis of the functions of genes (including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway annotation, and protein–protein interaction network analysis) in the functional modules and temporal clusters, and the hub genes in each module–cluster pair were identified. Interestingly, we found that genes downregulated within 24−48 h of the healing process were largely associated with metabolic processes, especially oxidative phosphorylation of reduced nicotinamide adenine dinucleotide phosphate, which has been rarely reported. Conclusions: These results improve our understanding of the molecular mechanisms underlying muscle repair, and provide a basis for further studies of wound age estimation.


2020 ◽  
Author(s):  
Xiang Zhou ◽  
Keying Zhang ◽  
Fa Yang ◽  
Chao Xu ◽  
Jianhua Jiao ◽  
...  

Abstract Background: Hepatocellular carcinoma (HCC) is a disease with higher morbidity, mortality, and poor prognosis in the whole world. Understanding the crosslink between HCC and the immune system is essential for people to uncover a few potential and valuable therapeutic strategies. This study aimed to reveal the correlation between HCC and immune-related genes and establish a clinical evaluation model. Methods: We had analyzed the clinical information consisted of 373 HCC and 49 normal samples from the cancer genome atlas (TCGA). The differentially expressed genes (DEGs) were selected by the Wilcoxon test and the immune-related differentially expressed genes (IRDEGs) in DEGs were identified by matching DEGs with immune-related genes downloaded from the ImmPort database. Furthermore, the univariate Cox regression analysis and multivariate Cox regression analysis were performed to construct a prognostic risk model. Then, twenty-two types of tumor immune-infiltrating cells (TIICs) were downloaded from Tumor Immune Estimation Resource (TIMER) and were used to construct the correlational graphs between the TIICs and risk score by the CIBERSORT. Subsequently, the transcription factors (TFs) were gained in the Cistrome website and the differentially expressed TFs (DETFs) were achieved. Finally, the KEGG pathway analysis and GO analysis were performed to further understand the molecular mechanisms between DETFs and PDIRGs.Results: In our study, 5839 DEGs, 326 IRDEGs, and 31 prognosis-related IRDEGs (PIRDEGs) were identified. And 8 optimal PIRDEGs were employed to construct a prognostic risk model by multivariate Cox regression analysis. The correlation between risk genes and clinical characterizations and TIICs has verified that the prognostic model was effective in predicting the prognosis of HCC patients. Finally, several important immune-related pathways and molecular functions of the eight PIRDEGs were significantly enriched and there was a distinct association between the risk IRDEGs and TFs. Conclusion: The prognostic risk model showed a more valuable predicting role for HCC patients, and produced many novel therapeutic targets and strategies for HCC.


2013 ◽  
Vol 8 (3) ◽  
pp. 297-305
Author(s):  
Rita Armonienė ◽  
Kristina Jonavičienė ◽  
Vytautas Ruzgas ◽  
Gintaras Brazauskas

AbstractIn order to identify genes responsible for starch granule initiation during early development of wheat caryopsis, nine winter wheat breeding lines were studied. Two breeding lines, which are the most diverse in A-type granule size (26.85 µm versus 23.65 µm) were chosen for further differential gene expression analysis in developing caryopses at 10 and 15 days post-anthesis (DPA). cDNA-amplified fragment length polymorphism (cDNA-AFLP) analysis resulted in 384 transcript-derived fragments, out of which 18 were identified as being differentially expressed. Six differentially expressed genes, together with the six well-known starch biosynthesis genes, were chosen for semi-quantitative gene expression analysis in developing wheat caryopses at 10 and 15 DPA. This study provides genomic information on 18 genes differentially expressed at early stages of wheat caryopses development and reports on the identification of genes putatively involved in the production of large A-type granules. These genes are targets for further validation on their role in starch granule synthesis control and provide the basis for the development of DNA marker tools in winter wheat breeding for enhanced starch quality.


2020 ◽  
Author(s):  
Neetu Goyal ◽  
Garima Bhatia ◽  
Naina Garewal ◽  
Anuradha Upadhyay ◽  
Kashmir Singh

Abstract Grapevine productivity is severely affected by fungal diseases worldwide and for the diseases control in eco-friendly way, it is essential to understand the molecular mechanisms of fungal resistance in grapes. Therefore, we performed genome-wide identification of various Resistance (R) genes expressed during PM and DM infection in grapevine. Consequently, we identified 6, 21, 2, 5, 3 and 48 EDS1, NDR1, PAD4, NPR, RAR and PR genes respectively in the grapevine genome. Further, differential expression analysis resulted in identification of 2, 4, 7, 2, 4, 1 and 7 differentially expressed PM-responsive Resistance (R) genes (NBS-LRR, EDS1, NDR1, PAD4, NPR, RAR1 and PR) and 28, 2, 5, 4, 1 and 19 differentially expressed DM-responsive Resistance (R) genes (NBS-LRR, EDS1, NDR1, NPR, RAR1 and PR) in V. vinifera. These genes are involved in salicylic acid mediated Effector-triggered immunity (ETI) pathway, therefore, we examined their co-expression to determine the sequence of events that occurs during a signaling cascade in order to respond against PM and DM-infection. Altogether, the PM and DM responsive R genes of ETI pathway found in this study can be used in future to produce new and improved grape varieties that are immune to biotic stresses.


2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Li Gao ◽  
Yong Jie Yang ◽  
En Qi Li ◽  
Jia Ning Mao

Objective Evidence indicates that physical activity influence bone health. However, the molecular mechanisms mediating the beneficial adaptations to exercise are not well understood. The purpose of this study was to examine the differentially expressed genes in PBMC between athletes and healthy controls, and to analyze the important functional genes and signal pathways that cause increased bone mineral density in athletes, in order to further reveal the molecular mechanisms of exercise promoting bone health. Methods Five professional trampoline athletes and five age-matched untrained college students participated in this study. Used the human expression Microarray V4.0 expression profiling chip to detect differentially expressed genes in the two groups, and performed KEGG Pathway analysis and application of STRING database to construct protein interaction Network; Real-Time PCR technology was used to verify the expression of some differential genes.  Results Compared with healthy controls, there were significant improvement in lumbar spine bone mineral density, and 236 up-regulated as well as 265 down-regulated in serum samples of athletes. The differentially expressed genes involved 28 signal pathways, such as cell adhesion molecules. Protein interaction network showed that MYC was at the core node position. Real-time PCR results showed that the expression levels of CD40 and ITGα6 genes in the athletes were up-regulated compared with the healthy controls, the detection results were consistent with that of the gene chip. Conclusions The findings highlight that long-term high-intensity trampoline training could induce transcriptional changes in PBMC of the athletes. These data suggest that gene expression fingerprints can serve as a powerful research tool to design novel strategies for monitoring exercise. The findings of the study also provide support for the notion that PBMC could be used as a substitute to study exercise training that affects bone health.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 4645-4645
Author(s):  
Jan Verner ◽  
Jitka Kabathova ◽  
Boris Tichy ◽  
Zbynek Zdrahal ◽  
Alexandra Tomancova ◽  
...  

Abstract Abstract 4645 Background Graft-versus-host disease (GvHD) is the life-threatening complication of allogeneic hematopoietic stem cells transplantation (allo-HSCT). GvHD is mediated by an immune reaction of donor T lymphocytes against recipient's tissues/cells. Acute GvHD (aGvHD) appearing within the first 100 days post transplantation is the most frequent cause of recipient's death and characterization of biomarkers for early prediction of aGvHD or resistance to corticoid treatment could be of great clinical relevance. Biomarker panels for aGvHD are currently extensively studied by proteomic and gene expression based approaches but so far very few markers were described and validated (Kaiser et al., 2004; Baron et al., 2007; Weissinger et al., 2007; Paczesny et al., 2009). Aim In this study, we performed microarray gene expression analysis (whole genome Human OneArray, Phalanx) of 43 leukemia patients who received allo-HSCT. Mononuclear cells isolated from peripheral blood samples (Ficoll-Paque) were collected at i) 14 days before transplantation, ii) 20 and iii) 30 days after transplantation and iv) at the time of aGvHD manifestation. We also performed gene-expression analysis for corticoid-resistant vs. corticoid-sensitive aGvHD cases. Results The SAM supervised analysis of samples collected at day +20 post transplantation revealed set of differentially expressed genes between groups of patients that developed aGvHD vs. aGvHD-free recipients. Among others, genes CASP1 (encoding caspase 1, protein implicated in apoptosis), HLA-DRA (member of MHC class II family) and LILRA3 (leukocyte immunoglobulin-like receptor, subfamily A member 3) showed the highest difference in expression. Gene expression with regard to corticoid response was analyzed at the time of first aGvHD manifestation. The SAM supervised analysis of gene expression between patients with corticoid-sensitive aGvHD (n=10) or aGvHD resistant to corticoid treatment (n=4) revealed a set of significantly differentially expressed genes including NR4A2 (nuclear receptor subfamily 4; member of the steroid-thyroid hormone-retinoid receptor superfamily), DEDD2 (death effector domain containing 2), TREM1 (triggering receptor expressed on myeloid cells 1), TPK1 (thiamin pyrophosphokinase 1) and HBEGF (heparin-binding EGF-like growth factor). Conclusion Oligonucleotide microarrays proved to be a useful tool for expression studies of hematological malignancies and our work shows that they may help to identify markers for early diagnosis/treatment of aGvHD. The limited patients' cohort and their heterogeneity complicate such studies. Our future effort will be focused on experimental group extension, cohort uniformity and verification of the obtained data. This work is supported by the grant NS9683-4/2008 provided by the IGA MH of the Czech Republic, and MSM0021622430 provided by MEYS of Czech Republic Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3671-3671
Author(s):  
Michael Getman ◽  
Jeffrey Malik ◽  
James Palis ◽  
Laurie A Steiner

Abstract The molecular mechanisms that drive the maturation of a committed erythroid progenitor to a functional red blood cell are incompletely understood. LSD1 (Lysine-Specific Histone Demethylase 1) is a widely expressed histone demethylase that plays an important role in erythroid maturation (Kereyni, elife, 2013). Although LSD1 is important for a number of biologic processes ranging from embryonic development to leukemogenesis, the molecular mechanisms underlying the influence of LSD1 on gene expression are incompletely understood. The goal of our study is to elucidate the molecular mechanisms by which LSD1 regulates erythroid gene expression and influences erythroid maturation. We hypothesize that LSD1 promotes specific patterns of histone and DNA methylation that facilitate gene expression changes necessary for normal erythroid maturation to occur. To address this hypothesis, the functional and molecular consequences of LSD1 knockdown were assessed in Extensively Self Renewing Erythroblasts (ESREs), a non-transformed, karyotypically normal model of terminal erythroid maturation (England, Blood, 2011). Primary fetal liver was cultured in the presence of EPO, SCF, IGF1 and dexamethasone to derive ESREs. The ESREs were capable of extensive ex-vivo expansion, doubling daily at the proerythroblast phase, however when matured, >90% of cells became benzidine positive and >65% enucleated within 3 days. Lentiviral-mediated shRNA was used to knock down LSD1 in expanding ESREs. Imaging flow cytometry done on maturation day 3 demonstrated that the knockdown cells had impairments in multiple facets of maturation, with larger cell and nuclear areas, higher kit expression, and lower rates of enucleation than the scramble control. LSD1 knockdown was also associated with impaired hemoglobin accumulation (78% vs. 95% benzidine positive; p<0.005). Treatment of ESREs with an inhibitor to LSD1 (Tranylcypromine; TCP) resulted in similar abnormalities in cell and nuclear size, kit expression, hemoglobin accumulation, and enucleation (40% vehicle vs.1% TCP). The functional deficits in maturation, including abnormal kit expression and low rates of enucleation, persisted on maturation day 4. To delineate the molecular mechanisms underlying this maturation impairment, RNA-seq was done in LSD1 knockdown and scramble control samples, and 230 differentially expressed genes (FDR<0.01) were identified using cuffdiff (Trapnell, Nat Biotech, 2013). Consistent with LSD1’s role in erythroid maturation, Ingenuity Pathway Analysis identified multiple networks involving hemoglobin synthesis, and GATA1, EPO, and KLF1 were all predicted as upstream regulators (p-values of 8.24e10-11, 7.25 e10-6, and 3.86e10-4, respectively). To better understand how LSD1 influences gene expression, chromatin immunoprecipitation coupled with high throughput sequencing was used to identify sites of H3K4me2 binding in the differentially expressed genes. 214/230 differentially expressed genes were associated with sites of H3K4me2 occupancy. Quantitative ChIP demonstrated that LSD1 inhibition was associated with increases in H3K4me2 levels at a subset of these sites, however consistent with previous studies, global levels of H3K4me2, determined by Enzyme Linked Immunosorbent Assay (ELIZA), did not change significantly. Although it is known that LSD1 demethylates and stabilizes the maintenance DNA methyltransferase DNMT1 (Wang, Nat Genet 2009), the consequences of LSD1 loss on DNA methylation (5-methyl cytosine; 5-mC) have yet to be investigated. To gain a comprehensive understanding of how LSD1 regulates erythroid gene expression, changes in the level of 5-mC were assessed after knockdown or inhibition of LSD1. Global 5-mC levels, determined by ELIZA assay, were ∼30% lower in TCP treated samples than vehicle treated control (p<0.02) and western blot demonstrated a 3-fold decrease in DNMT1 protein in the TCP treated samples. Both methyl binding domain pull-down coupled with quantitative PCR and genome-wide bisulfite sequencing were utilized to assess changes in 5-mC levels in the differentially expressed genes. Loss of LSD1 was associated with significantly lower levels of 5-mC at several differentially expressed, erythroid-specific genes, such as bh1. Taken together, these data support the hypothesis that LSD1 influences both histone and DNA methylation at genes important for erythroid maturation. Disclosures: No relevant conflicts of interest to declare.


Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 416
Author(s):  
Zeenat Mirza ◽  
Umama A. Abdel-dayem

Endometriosis is characterized by ectopic endometrial tissue implantation, mostly within the peritoneum, and affects women in their reproductive age. Studies have been done to clarify its etiology, but the precise molecular mechanisms and pathophysiology remain unclear. We downloaded genome-wide mRNA expression and clinicopathological data of endometriosis patients and controls from NCBI’s Gene Expression Omnibus, after a systematic search of multiple independent studies comprising 156 endometriosis patients and 118 controls to identify causative genes, risk factors, and potential diagnostic/therapeutic biomarkers. Comprehensive gene expression meta-analysis, pathway analysis, and gene ontology analysis was done using a bioinformatics-based approach. We identified 1590 unique differentially expressed genes (129 upregulated and 1461 downregulated) mapped by IPA as biologically relevant. The top upregulated genes were FOS, EGR1, ZFP36, JUNB, APOD, CST1, GPX3, and PER1, and the top downregulated ones were DIO2, CPM, OLFM4, PALLD, BAG5, TOP2A, PKP4, CDC20B, and SNTN. The most perturbed canonical pathways were mitotic roles of Polo-like kinase, role of Checkpoint kinase proteins in cell cycle checkpoint control, and ATM signaling. Protein–protein interaction analysis showed a strong network association among FOS, EGR1, ZFP36, and JUNB. These findings provide a thorough understanding of the molecular mechanism of endometriosis, identified biomarkers, and represent a step towards the future development of novel diagnostic and therapeutic options.


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