Gene regulation and systems biology最新文献

{"title":"Dietary Lipid During Late-Pregnancy and Early-Lactation to Manipulate Metabolic and Inflammatory Gene Network Expression in Dairy Cattle Liver with a Focus on PPARs.","authors":"Haji Akbar,&nbsp;Eduardo Schmitt,&nbsp;Michael A Ballou,&nbsp;Marcio N Corrêa,&nbsp;Edward J Depeters,&nbsp;Juan J Loor","doi":"10.4137/GRSB.S12005","DOIUrl":"https://doi.org/10.4137/GRSB.S12005","url":null,"abstract":"<p><p>Polyunsaturated (PUFA) long-chain fatty acids (LCFAs) are more potent in eliciting molecular and tissue functional changes in monogastrics than saturated LCFA. From -21 through 10 days relative to parturition dairy cows were fed no supplemental LCFA (control), saturated LCFA (SFAT; mainly 16:0 and 18:0), or fish oil (FISH; high-PUFA). Twenty-seven genes were measured via quantitative RT-PCR in liver tissue on day -14 and day 10. Expression of nuclear receptor co-activators (CARM1, MED1), LCFA metabolism (ACSL1, SCD, ACOX1), and inflammation (IL6, TBK1, IKBKE) genes was lower with SFAT than control on day -14. Expression of SCD, however, was markedly lower with FISH than control or SFAT on both -14 and 10 days. FISH led to further decreases in expression on day 10 of LCFA metabolism (CD36, PLIN2, ACSL1, ACOX1), intracellular energy (UCP2, STK11, PRKAA1), de novo cholesterol synthesis (SREBF2), inflammation (IL6, TBK1, IKBKE), and nuclear receptor signaling genes (PPARD, MED1, NRIP1). No change in expression was observed for PPARA and RXRA. The increase of DGAT2, PLIN2, ACSL1, and ACOX1 on day 10 versus -14 in cows fed SFAT suggested upregulation of both beta-oxidation and lipid droplet (LD) formation. However, liver triacylglycerol concentration was similar among treatments. The hepatokine FGF21 and the gluconeogenic genes PC and PCK1 increased markedly on day 10 versus -14 only in controls. At the levels supplemented, the change in the profile of metabolic genes after parturition in cows fed saturated fat suggested a greater capacity for uptake of fatty acids and intracellular handling without excessive storage of LD. </p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"103-23"},"PeriodicalIF":0.0,"publicationDate":"2013-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S12005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31555219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of dmyc Promoter and Regulatory Regions.","authors":"Jasmine Kharazmi,&nbsp;Cameron Moshfegh","doi":"10.4137/GRSB.S10751","DOIUrl":"https://doi.org/10.4137/GRSB.S10751","url":null,"abstract":"<p><p>Products of the myc gene family integrate extracellular signals by modulating a wide range of their targets involved in cellular biogenesis and metabolism; the purpose of this integration is to regulate cell death, proliferation, and differentiation. However, understanding the regulation of myc at the transcription level remains a challenge. We performed rapid amplification of dmyc cDNA ends (5' RACE) and mapped the transcription start site at P1 promoter, 18 base pairs upstream of the start of the known EST GM01143 and within the 5' UTR. Our data show that the first TATA box, previously computationally predicted, is utilized to generate dmyc full length mRNA. The largest transcript contains all three exons, generated after the removal of the introns by constitutively regulated splicing events. Further investigation of Downstream Promoter Element (DPE) was achieved by studying lacZ reporter activity; investigation revealed that this element and its upstream cluster of binding sites are required for the dmyc intron 2 activity. These findings may provide valuable tools for further analysis of dmyc cis-elements.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"85-102"},"PeriodicalIF":0.0,"publicationDate":"2013-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S10751","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31503369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Yin yang 1 and adipogenic gene network expression in longissimus muscle of beef cattle in response to nutritional management.","authors":"Sonia J Moisá,&nbsp;Daniel W Shike,&nbsp;William T Meteer,&nbsp;Duane Keisler,&nbsp;Dan B Faulkner,&nbsp;Juan J Loor","doi":"10.4137/GRSB.S11783","DOIUrl":"https://doi.org/10.4137/GRSB.S11783","url":null,"abstract":"<p><p>Among 36 differentially-expressed genes during growth in longissimus muscle (LM) of Angus steers, Yin Yang 1 (YY1) had the most relationships with other genes including some associated with adipocyte differentiation. The objective of this study was to examine the effect of nutritional management on mRNA expression of YY1 along with its targets genes PPARG, GTF2B, KAT2B, IGFBP5 and STAT5B. Longissimus from Angus and Angus × Simmental steers (7 total/treatment) on early weaning plus high-starch (EWS), normal weaning plus starch creep feeding (NWS), or normal weaning without starch creep feeding (NWN) was biopsied at 0, 96, and 240 days on treatments. Results suggest that YY1 does not exert control of adipogenesis in LM, and its expression is not sensitive to weaning age. Among the YY1-related genes, EWS led to greater IGFBP5 during growing and finishing phases. Pro-adipogenic transcriptional regulation was detected in EWS due to greater PPARG and VDR at 96 and 240 d vs. 0 d. GTF2B and KAT2B expression was lower in response to NWS and EWS than NWN, and was most pronounced at 240 d. The increase in PPARG and GTF2B expression between 96 and 240 d underscored the existence of a molecular programming mechanism that was sensitive to age and dietary starch. Such response partly explains the greater carcass fat deposition observed in response to NWS.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"71-83"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S11783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31450189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Profile of ChIP-Seq-Based STAT1 Target Genes Suggests the Complexity of STAT1-Mediated Gene Regulatory Mechanisms.","authors":"Jun-Ichi Satoh,&nbsp;Hiroko Tabunoki","doi":"10.4137/GRSB.S11433","DOIUrl":"https://doi.org/10.4137/GRSB.S11433","url":null,"abstract":"<p><p>Interferon-gamma (IFNγ) plays a key role in macrophage activation, T helper and regulatory cell differentiation, defense against intracellular pathogens, tissue remodeling, and tumor surveillance. The diverse biological functions of IFNγ are mediated by direct activation of signal transducer and activator of transcription 1 (STAT1) as well as numerous downstream effector genes. Because a perturbation in STAT1 target gene networks is closely associated with development of autoimmune diseases and cancers, it is important to characterize the global picture of these networks. Chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) provides a highly efficient method for genome-wide profiling of DNA-binding proteins. We analyzed the STAT1 ChIP-Seq dataset of IFNγ-stimulated HeLa S3 cells derived from the ENCODE project, along with transcriptome analysis on microarray. We identified 1,441 stringent ChIP-Seq peaks of protein-coding genes. They were located in the promoter (21.5%) and more often in intronic regions (72.2%) with an existence of IFNγ-activated site (GAS) elements. Among the 1,441 STAT1 target genes, 212 genes are known IFN-regulated genes (IRGs) and 194 genes (13.5%) are actually upregulated in response to IFNγ by transcriptome analysis. The panel of upregulated genes constituted IFN-signaling molecular networks pivotal for host defense against infections, where interferon-regulatory factor (IRF) and STAT transcription factors serve as a hub on which biologically important molecular connections concentrate. The genes with the peak location in intronic regions showed significantly lower expression levels in response to IFNγ. These results indicate that the binding of STAT1 to GAS is not sufficient to fully activate target genes, suggesting the high complexity of STAT1-mediated gene regulatory mechanisms.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"41-56"},"PeriodicalIF":0.0,"publicationDate":"2013-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S11433","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31501308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Butyrate Induced IGF2 Activation Correlated with Distinct Chromatin Signatures Due to Histone Modification.","authors":"Joo Heon Shin,&nbsp;Robert W Li,&nbsp;Yuan Gao,&nbsp;Derek M Bickhart,&nbsp;George E Liu,&nbsp;Weizhong Li,&nbsp;Sitao Wu,&nbsp;Cong-Jun Li","doi":"10.4137/GRSB.S11243","DOIUrl":"https://doi.org/10.4137/GRSB.S11243","url":null,"abstract":"<p><p>Histone modification has emerged as a very important mechanism regulating the transcriptional status of the genome. Insulin-like growth factor 2 (IGF2) is a peptide hormone controlling various cellular processes, including proliferation and apoptosis. H19 gene is closely linked to IGF2 gene, and IGF2 and H19 are reciprocally regulated imprinted genes. The epigenetic signature of H19 promoter (hypermethylation) on the paternal allele plays a vital role in allowing the expression of the paternal allele of IGF2.46 Our previous studies demonstrate that butyrate regulates the expression of IGF2 as well as genes encoding IGF Binding proteins. To obtain further understanding of histone modification and its regulatory potentials in controlling IGF2/H19 gene expression, we investigated the histone modification status of some key histones associated with the expression of IGF2/H19 genes in bovine cells using RNA-seq in combination with Chip-seq technology. A high-resolution map of the major chromatin modification at the IGF2/H19 locus induced by butyrate was constructed to illustrate the fundamental association of the chromatin modification landscape that may play a role in the activation of the IGF2 gene. High-definition epigenomic landscape mapping revealed that IGF2 and H19 have distinct chromatin modification patterns at their coding and promoter regions, such as TSSs and TTSs. Moreover, the correlation between the differentially methylated regions (DMRs) of IGF2/H19 locus and histone modification (acetylation and methylation) indicated that epigenetic signatures/markers of DNA methylation, histone methylation and histone acetylation were differentially distributed on the expressed IGF2 and silenced H19 genes. Our evidence also suggests that butyrate-induced regional changes of histone acetylation statusin the upstream regulation domain of H19 may be related to the reduced expression of H19 and strong activation of IGF2. Our results provided insights into the mechanism of butyrate-induced loss of imprinting (LOI) of IGF2 and regulation of gene expression by histone modification.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"57-70"},"PeriodicalIF":0.0,"publicationDate":"2013-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S11243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31501309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extensive ethnogenomic diversity of endothelial nitric oxide synthase (eNOS) polymorphisms.","authors":"Bolaji N Thomas,&nbsp;Tanya J Thakur,&nbsp;Li Yi,&nbsp;Aldiouma Guindo,&nbsp;Dapa A Diallo,&nbsp;Jurg Ott","doi":"10.4137/GRSB.S10857","DOIUrl":"https://doi.org/10.4137/GRSB.S10857","url":null,"abstract":"<p><p>Nitric oxide (NO) is highly reactive, produced in endothelial cells by endothelial NO synthase (eNOS) and has been implicated in sickle cell pathophysiology. We evaluated the distribution of functionally significant eNOS variants (the T786C variant in the promoter region, the Glu298Asp variant in exon 7, and the variable number of tandem repeats (VNTR) in intron 4) in Africans, African Americans and Caucasians. The C-786 variant was more common in Caucasians than in Africans and African Americans. Consistent with other findings, the Asp-298 variant had the highest frequency in Caucasians followed by African Americans, but was completely absent in Africans. The very rare intron 4 allele, eNOS 4c, was found in some Africans and African Americans, but not in Caucasians. eNOS 4d allele was present in 2 Africans. These findings suggest a consistent and widespread genomic diversity in the distribution of eNOS variants in Africans, comparative to African Americans and Caucasians.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S10857","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31322438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global consensus theorem and self-organized criticality: unifying principles for understanding self-organization, swarm intelligence and mechanisms of carcinogenesis.","authors":"Simon Rosenfeld","doi":"10.4137/GRSB.S10885","DOIUrl":"https://doi.org/10.4137/GRSB.S10885","url":null,"abstract":"<p><p>Complex biological systems manifest a large variety of emergent phenomena among which prominent roles belong to self-organization and swarm intelligence. Generally, each level in a biological hierarchy possesses its own systemic properties and requires its own way of observation, conceptualization, and modeling. In this work, an attempt is made to outline general guiding principles in exploration of a wide range of seemingly dissimilar phenomena observed in large communities of individuals devoid of any personal intelligence and interacting with each other through simple stimulus-response rules. Mathematically, these guiding principles are well captured by the Global Consensus Theorem (GCT) equally applicable to neural networks and to Lotka-Volterra population dynamics. Universality of the mechanistic principles outlined by GCT allows for a unified approach to such diverse systems as biological networks, communities of social insects, robotic communities, microbial communities, communities of somatic cells, social networks and many other systems. Another cluster of universal laws governing the self-organization in large communities of locally interacting individuals is built around the principle of self-organized criticality (SOC). The GCT and SOC, separately or in combination, provide a conceptual basis for understanding the phenomena of self-organization occurring in large communities without involvement of a supervisory authority, without system-wide informational infrastructure, and without mapping of general plan of action onto cognitive/behavioral faculties of its individual members. Cancer onset and proliferation serves as an important example of application of these conceptual approaches. In this paper, the point of view is put forward that apparently irreconcilable contradictions between two opposing theories of carcinogenesis, that is, the Somatic Mutation Theory and the Tissue Organization Field Theory, may be resolved using the systemic approaches provided by GST and SOC.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"23-39"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S10885","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31290287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implications of systemic dysfunction for the etiology of malignancy.","authors":"Sarah S Knox, Michael F Ochs","doi":"10.4137/GRSB.S10943","DOIUrl":"10.4137/GRSB.S10943","url":null,"abstract":"<p><p>The current approach to treatment in oncology is to replace the generally cytotoxic chemotherapies with pharmaceutical treatment which inactivates specific molecular targets associated with cancer development and progression. The goal is to limit cellular damage to pathways perceived to be directly responsible for the malignancy. Its underlying assumptions are twofold: (1) that individual pathways are the cause of malignancy; and (2) that the treatment objective should be destruction-either of the tumor or the dysfunctional pathway. However, the extent to which data actually support these assumptions has not been directly addressed. Accumulating evidence suggests that systemic dysfunction precedes the disruption of specific genetic/molecular pathways in most adult cancers and that targeted treatments such as kinase inhibitors may successfully treat one pathway while generating unintended changes to other, non-targeted pathways. This article discusses (1) the systemic basis of malignancy; (2) better profiling of pre-cancerous biomarkers associated with elevated risk so that preventive lifestyle modifications can be instituted early to revert high-risk epigenetic changes before tumors develop; (3) a treatment emphasis in early stage tumors that would target the restoration of systemic balance by strengthening the body's innate defense mechanisms; and (4) establishing better quantitative models of systems to capture adequate complexity for predictability at all stages of tumor progression.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"7 ","pages":"11-22"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31264663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of Transcriptome Responses of the Rumen Epithelium to Butyrate Infusion using RNA-seq Technology.","authors":"Ransom L Baldwin,&nbsp;Sitao Wu,&nbsp;Weizhong Li,&nbsp;Congjun Li,&nbsp;Brian J Bequette,&nbsp;Robert W Li","doi":"10.4137/GRSB.S9687","DOIUrl":"https://doi.org/10.4137/GRSB.S9687","url":null,"abstract":"<p><p>Short-chain fatty acids (SCFAs), such as butyrate, produced by gut microorganisms, play a critical role in energy metabolism and physiology of ruminants as well as in human health. In this study, the temporal effect of elevated butyrate concentrations on the transcriptome of the rumen epithelium was quantified via serial biopsy sampling using RNA-seq technology. The mean number of genes transcribed in the rumen epithelial transcriptome was 17,323.63 ± 277.20 (±SD; N = 24) while the core transcriptome consisted of 15,025 genes. Collectively, 80 genes were identified as being significantly impacted by butyrate infusion across all time points sampled. Maximal transcriptional effect of butyrate on the rumen epithelium was observed at the 72-h infusion when the abundance of 58 genes was altered. The initial reaction of the rumen epithelium to elevated exogenous butyrate may represent a stress response as Gene Ontology (GO) terms identified were predominantly related to responses to bacteria and biotic stimuli. An algorithm for the reconstruction of accurate cellular networks (ARACNE) inferred regulatory gene networks with 113,738 direct interactions in the butyrate-epithelium interactome using a combined cutoff of an error tolerance (ɛ = 0.10) and a stringent P-value threshold of mutual information (5.0 × 10(-11)). Several regulatory networks were controlled by transcription factors, such as CREBBP and TTF2, which were regulated by butyrate. Our findings provide insight into the regulation of butyrate transport and metabolism in the rumen epithelium, which will guide our future efforts in exploiting potential beneficial effect of butyrate in animal well-being and human health.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"6 ","pages":"67-80"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S9687","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30659415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of cis-Regulatory Elements in the dmyc Gene of Drosophila Melanogaster.","authors":"Jasmine Kharazmi,&nbsp;Cameron Moshfegh,&nbsp;Thomas Brody","doi":"10.4137/GRSB.S8044","DOIUrl":"https://doi.org/10.4137/GRSB.S8044","url":null,"abstract":"Myc is a crucial regulator of growth and proliferation during animal development. Many signals and transcription factors lead to changes in the expression levels of Drosophila myc, yet no clear model exists to explain the complexity of its regulation at the level of transcription. In this study we used Drosophila genetic tools to track the dmyc cis-regulatory elements. Bioinformatics analyses identified conserved sequence blocks in the noncoding regions of the dmyc gene. Investigation of lacZ reporter activity driven by upstream, downstream, and intronic sequences of the dmyc gene in embryonic, larval imaginal discs, larval brain, and adult ovaries, revealed that it is likely to be transcribed from multiple transcription initiation units including a far upstream regulatory region, a TATA box containing proximal complex and a TATA-less downstream promoter element in conjunction with an initiator within the intron 2 region. Our data provide evidence for a modular organization of dmyc regulatory sequences; these modules will most likely be required to generate the tissue-specific patterns of dmyc transcripts. The far upstream region is active in late embryogenesis, while activity of other cis elements is evident during embryogenesis, in specific larval imaginal tissues and during oogenesis. These data provide a framework for further investigation of the transcriptional regulatory mechanisms of dmyc.","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"6 ","pages":"15-42"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S8044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30405227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}