scholarly journals Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis

2009 ◽  
Vol 2009 ◽  
pp. 1-6 ◽  
Author(s):  
Lin Wang ◽  
Ying Sun ◽  
Minghu Jiang ◽  
Xiguang Zheng

Our method concentrates on and constructs the distinguished single gene network. An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering. We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO dataset. The results demonstrate the effectiveness of such integrated way in terms of developing novel prognostic markers and therapeutic targets.

1999 ◽  
Vol 39 (4) ◽  
pp. 193-201
Author(s):  
P. J. A. Gijsbers

The need for integrated analysis poses a request for integration of computer models, paying extra attention to interfaces, data management and user interaction. Sector wide standardization using data dictionaries and data exchange formats can be a great help in streamlining data exchange. However, this type of standardization can have some drawbacks for a generic framework for model integration. Another concept, called Model Data Dictionary (MDD), has been developed as an alternative for proper data management. The concept is a variant on the federated database concept, a concept where local databases maintain their autonomy, while an interconnection database provides a link for sharing data. The MDD is based on a highly generic data model for geographic referenced objects, which if needed facilitates mapping of the sector wide data dictionary. External interfaces provide, in combination with a data format mapping component, a link to SQL-based data sources and model specific databases. A generic Object Data Editor (ODE), linked to the MDD, has been proposed for provision of a common data editing facility for mathematical models. A test version of the combined MDD/ODE-concept has shown the applicability for integration of all kinds of geographic object oriented mathematical models (both simulation and optimization).


Author(s):  
Mark T. EricksonKirk ◽  
Terry L. Dickson

Warm pre-stress, or WPS, is a phenomenon by which the apparent fracture toughness of ferritic steel can be elevated in the fracture mode transition if crack is first “pre-stressed” at an elevated temperature. Taking proper account of WPS is important to the accurate modeling of the postulated accident scenarios that, collectively, are referred to as pressurized thermal shock, and to the accurate modeling of routine cool-down transients. For both accident and routine cool-downs the transients begin at the reactor operating temperature (approximately 290°C for pressurized water reactors in the United States) and proceed to colder temperatures as time advances. The probabilistic fracture mechanics code FAVOR, which is being used by the NRC to provide the technical basis for risk-informed revisions of 10 CFR 50.61 and 10 CFR 50 Appendix G, adopts a model of WPS as part of its fracture driving force module. In this paper we assess the conservatism inherent to the FAVOR WPS model relative to a best-estimate WPS model constructed using data recently produced by the European Commission “SMILE” project and published by Moinereau and colleagues. Assessments of the conservatisms inherent to the so-called “conservative principle” WPS model, and also to a classic LEFM model that does not credit WPS are also made. The data presented herein demonstrate that, for an integrated analysis of PTS risk, the FAVOR and conservative principle WPS models both over-estimate the vessel failure risk by a factor of between 2 and 3× relative to the best estimate model. Our examination of the effect of WPS models on the predictions of individual transients reveals that for the severe transients that dominate risk there is little difference (usually less than 4×) between the conditional probabilities of crack initiation and of through wall cracking predicted by the different WPS models. There are considerable differences in the predictions of the various WPS and non-WPS models for low severity transients, however, the contribution of these transients to the total risk of vessel failure is small.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Amphun Chaiboonchoe ◽  
Sandhya Samarasinghe ◽  
Don Kulasiri ◽  
Kourosh Salehi-Ashtiani

Glucocorticoids (GCs) have been used as therapeutic agents for children with acute lymphoblastic leukaemia (ALL) for over 50 years. However, much remains to be understood about the molecular mechanism of GCs actions in ALL subtypes. In this study, we delineate differential responses of ALL subtypes, B- and T-ALL, to GCs treatment at systems level by identifying the differences among biological processes, molecular pathways, and interaction networks that emerge from the action of GCs through the use of a selected number of available bioinformatics methods and tools. We provide biological insight into GC-regulated genes, their related functions, and their networks specific to the ALL subtypes. We show that differentially expressed GC-regulated genes participate in distinct underlying biological processes affected by GCs in B-ALL and T-ALL with little to no overlap. These findings provide the opportunity towards identifying new therapeutic targets.


2020 ◽  
Author(s):  
Wan-Ping Guo ◽  
Deng Tang ◽  
Yu-Yan Pang ◽  
Xiao-Jiao Li ◽  
Gang Chen ◽  
...  

Abstract Background: Thyroid cancer (TC) is the most common endocrine malignancy, Basigin (also known as BSG) plays a crucial role in tumor cell invasion, metastasis, and angiogenesis. This study was designed to identify the change of BSG expression in TC and its possible potential mechanism. Methods: The BSG expression levels in TC were demonstrated using data collected from in-house immunohistochemical (IHC), RNA-sequencing (RNA-seq), microarrays and literatures. Integrated analysis was performed to determined BSG expression levels in TC comprehensively. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed with the integration of BSG co-expressed genes and differentially expressed genes (DEGs) in TC tissues to explore the potential mechanisms of BSG in TC. Results: The protein expression level of BSG was significantly higher in TC cases based on the IHC experiments. In addition, the combined SMD for BSG expression was 0.39 (p<0.0001), the diagnostic odds ratio was 3.69, and the AUC of the sROC curve was 0.6986 using 1182 TC cases and 437 non-cancerous cases from 17 independent datasets. Furthermore, BSG co-expressed genes tended to be enriched in gene terms of the extracellular matrix (ECM), cell adhesion, and cell-cell interactions. The expression levels of nine hub BSG co-expressed genes were markedly up-regulated in TC cases. Conclusion: BSG expression levels were closely correlated with the progression of TC and may affect the signals of the ECM, cell adhesion, and cell-cell interactions.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Kai Huang ◽  
Shuyan Wen ◽  
Jiechun Huang ◽  
Fangrui Wang ◽  
Liewen Pang ◽  
...  

Purpose. The aim of this study is to identify hub genes and miRNAs by the miRNA-mRNA interaction network in dilated cardiomyopathy (DCM) disease. Methods. The differentially expressed miRNAs (DEMis) and mRNAs (DEMs) were selected using data of DCM patients downloaded from the GEO database (GSE112556 and GSE3585). Gene Ontology (GO) pathway analysis and transcription factor enrichment analysis were used for selecting DEMis, and the target mRNAs of DEMis were filtered by using miRDB, miRTarBase, and TargetScan. Cytoscape software was used to visualize the network between miRNAs and mRNAs and calculate the hub genes. GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were used to analyze the mRNAs in the regulatory network. Results. A total of 9 DEMis and 281 DEMs were selected, from which we reconstructed the miRNA-mRNA network consisting of 7 miRNAs and 51 mRNAs. The top 10 nodes, miR-144-3p, miR-363-3p, miR-9-3p, miR-21-3p, miR-144-5p, miR-338-3p, ID4 (inhibitor of DNA binding/differentiation 4), miR-770-5p, PIK3R1 (p85α regulatory subunit of phosphoinositide 3-kinase (PI3K)), and FN1 (fibronectin 1), were identified as important regulators. Conclusions. The study uncovered several important hub genes and miRNAs involved in the pathogenesis of DCM, among which, the miR-144-3p/FN1 and miR-9-3p/FN1 pathways may play an important role in myocardial fibrosis, which can help identify the etiology of DCM, and provide potential therapeutic targets.


2008 ◽  
Vol 40 (2) ◽  
pp. 181-188 ◽  
Author(s):  
Insuk Lee ◽  
Ben Lehner ◽  
Catriona Crombie ◽  
Wendy Wong ◽  
Andrew G Fraser ◽  
...  

2018 ◽  
Author(s):  
Mikel Hernaez ◽  
Olivier Gevaert

AbstractGene regulatory networks describe the regulatory relationships among genes, and developing methods for reverse engineering these networks are an ongoing challenge in computational biology. The majority of the initially proposed methods for gene regulatory network discovery create a network of genes and then mine it in order to uncover previously unknown regulatory processes. More recent approaches have focused on inferring modules of co-regulated genes, linking these modules with regulator genes and then mining them to discover new molecular biology.In this work we analyze module-based network approaches to build gene regulatory networks, and compare their performance to the well-established single gene network approaches. In particular, we focus on the problem of linking genes with known regulatory genes. First, modules are created iteratively using a regression approach that links co-expressed genes with few regulatory genes. After the modules are built, we create bipartite graphs to identify a set of target genes for each regulatory gene. We analyze several methods for uncovering these modules and show that a variational Bayes approach achieves significant improvement with respect to previously used methods for module creation on both simulated and real data. We also perform a topological and gene set enrichment analysis and compare several module-based approaches to single gene network approaches where a graph is built from the gene expression profiles without clustering genes in modules. We show that the module-based approach with variational Bayes outperforms all other methods and creates regulatory networks with a significantly higher rate of enriched molecular pathways.The code is written in R and can be downloaded from https://github.com/mikelhernaez/linker.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 103-103
Author(s):  
Ina Radtke ◽  
Charles G. Mullighan ◽  
Masami Ishii ◽  
Jing Ma ◽  
Xiaoping Su ◽  
...  

Abstract To define the complement of genetic lesions in pediatric AML, we performed high resolution genome-wide analysis on bone marrow blasts from 111 cases using Affymetrix 100K and 500K SNP microarrays and genomic resequencing. Cases included t(8;21) (N=20), inv(16) (N=16), t(15;17) (N=7), MLL rearranged (N=16), FAB-M7 (N=9), miscellaneous cytogenetic abnormalities (N=24) and normal karyotype (N=19). Germline DNA was available for 67 of the cases. The mean number of somatic copy number abnormalities (CNA) was 2.38 (range 0–45) with 1.32 gains (range 0–41) and 1.06 losses (range 0–12). Focal CNAs were detected at the breakpoints of known chromosomal translocations, most commonly in inv(16) cases (7/16) and t(8;21) cases (4/20). Based on this observation, we examined focal CNAs that affected the 5’ or 3’ regions of genes for their possible involvement in cryptic translocations. CNAs involving NUP98 and MLL led to the identification of two cases with t(5;11)[NUP98-NSD1], and two with t(6;11)[MLL-MLLT4] not evident on cytogenetic analysis. RT-PCR for these fusions identified two additional NUP98-NSD1 cases. Identification of focal CNAs are thus useful in identifying clinically significant translocations in AML. Other recurring somatic CNAs were uncommon. Twelve regions containing a single gene were identified, including amplification of EBF, PRDM5, CCDC26*, GDF10, ABCC4*, and deletion of FAM20C*, TUSC1, GPC5, A2BP1, INSR, BCOR* (* involved in N>2 cases). The most frequent abnormality was amplification of CCDC26 at 8q24.21 (N=15; focal in 4 cases, broad in 11) which encodes a putative mediator of retinoic acid receptor signaling. The focal amplifications are predicted to abolish expression of normal transcripts. Seventeen additional recurring CNAs involving 2 to 25 genes were identified, many of which contain known or putative tumor suppressor genes or oncogenes, including deletions of regions at 7q36, 9p21 (CDKN2A/B), 11p14-p12 (WT1, WIT1), and amplification at 19p13 (JUNB, LYL1). These regions showed significant correlation between copy number and local gene expression in an integrated analysis of CNA and Affymetrix U133A gene expression data. Copy-neutral LOH was uncommon and recurrent only with LOH of chromosome 13 in 3 cases. Sequence analysis has been completed for several genes involved in recurring CNAs (CCDC26, TUSC1, FBXW7) and for genes known to be mutated in AML (N/KRAS, PTPN11, BRAF, SOS1, FLT3, CEPBA, NPM1, AML1, CKIT, GATA1). No mutations were identified in CCDC26, TUSC1, FBXW7, BRAF, or SOS1. Marked differences in the combination of CNA and sequence mutation were identified across the different genetic subtypes of AML. FAB M7 cases had the highest frequency of CNA (mean 9.3 lesions/case) but had sequence mutations limited to GATA1. Mutations of FLT3, CEPBA and NPM1 were most frequent in cases with no or miscellaneous cytogenetic abnormalities, where as RAS mutations were most frequent in t(8;21) and inv(16) cases. Importantly, approximately 30% of the cases with recurring translocations had no other sequence or numerical abnormalities. These data demonstrated that, in contrast to pediatric ALL, AML is characterized by relatively few recurring CNAs, and that spectrum of CNA and sequence mutation is significantly associated with disease subtype.


2021 ◽  
Author(s):  
Chengbin Huang ◽  
Ding-Yun Zhao ◽  
Tian-hao Xu ◽  
Liang Chen ◽  
Jun Xie ◽  
...  

Abstract Background and objective: Osteoporosis (OP) is a systemic disease of bone metabolism, characterized by decreasing bone mass, increasing bone microstructure damages and fracture risk. It affects the quality of life of nearly 200 million people worldwide and is a major burden on the public health systems. We want to identify hub genes and miRNAs by the miRNA-mRNA interaction network in osteoporosis disease so that further understand the pathogenesis of this disease.Materials and methods: The differentially expressed miRNAs (DEMis) and mRNAs (DEMs) were selected using data of OP patients downloaded from the GEO database (GSE93883, GSE74209 and GSE35959). Gene Ontology (GO) pathway analysis and transcription factor enrichment analysis were used for selecting DEMis, and the target mRNAs of DEMis were filtered by using FunRich. Cytoscape software was used to visualize the network between miRNAs and mRNAs and calculate the hub genes. GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were used to analyze the mRNAs in the regulatory network.Results: A total of 17 DEMis and 655 DEMs were selected, from which we reconstructed the miRNA-mRNA network consisting of 6 miRNAs and 37 mRNAs. The top 10 nodes, hsa-let-7a-5p, hsa-miR-92a-3p, hsa-miR-92b-3p, hsa-miR-223-3p, hsa-miR-320c, SLC2A3(Solute Carrier Family 2 Member 3), LBX1(ladybird homeobox 1), HCN2(hyperpolarization-activated cyclic nucleotide-gated ion channel 2), DAB2IP(DAB2 Interacting Protein) and CIC(capicua transcriptional repressor), were identified as important regulators.Conclusions: The study uncovered several important hub genes and miRNAs involved in the pathogenesis of OP, among which, the hsa-let-7a-5p, hsa-miR-92a-3p and hsa-miR-92b-3p may play an important role in osteoporosis, which can help us provide potential therapeutic targets of OP.


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