{"title":"In Silico Identification and Characterization of B12D Family Proteins in Viridiplantae.","authors":"Zainab M Almutairi","doi":"10.1177/11769343221106795","DOIUrl":"https://doi.org/10.1177/11769343221106795","url":null,"abstract":"<p><p>B12D family proteins are transmembrane proteins that contain the B12D domain involved in membrane trafficking. Plants comprise several members of the B12D family, but these members' numbers and specific functions are not determined. This study aims to identify and characterize the members of B12D protein family in plants. Phytozome database was retrieved for B12D proteins from 14 species. The total 66 B12D proteins were analyzed in silico for gene structure, motifs, gene expression, duplication events, and phylogenetics. In general, B12D proteins are between 86 and 98 aa in length, have 2 or 3 exons, and comprise a single transmembrane helix. Motif prediction and multiple sequence alignment show strong conservation among B12D proteins of 11 flowering plants species. Despite that, the phylogenetic tree revealed a distinct cluster of 16 B12D proteins that have high conservation across flowering plants. Motif prediction revealed 41 aa motif conserved in 58 of the analyzed B12D proteins similar to the bZIP motif, confirming that in the predicted biological process and molecular function, B12D proteins are DNA-binding proteins. <i>Cis</i>-regulatory elements screening in putative <i>B12D</i> promoters found various responsive elements for light, abscisic acid, methyl jasmonate, cytokinin, drought, and heat. Despite that, there is specific elements for cold stress, cell cycle, circadian, auxin, salicylic acid, and gibberellic acid in the promoter of a few <i>B12D</i> genes indicating for functional diversification for B12D family members. The digital expression shows that <i>B12D</i> genes of <i>Glycine max</i> have similar expression patterns consistent with their clustering in the phylogenetic tree. However, the expression of <i>B12D</i> genes of <i>Hordeum vulgure</i> appears inconsistent with their clustering in the tree. Despite the strong conservation of the B12D proteins of Viridiplantae, gene association analysis, promoter analysis, and digital expression indicate different roles for the members of the B12D family during plant developmental stages.</p>","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":" ","pages":"11769343221106795"},"PeriodicalIF":2.6,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/80/44/10.1177_11769343221106795.PMC9201304.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40041072","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 Phosphorylated Proteins Regulated by SDF2L1 in Nasopharyngeal Carcinoma Cells","authors":"Chengchang Luo, Zunni Zhang, Qisheng Su, W. Mo","doi":"10.1177/11769343221095862","DOIUrl":"https://doi.org/10.1177/11769343221095862","url":null,"abstract":"SDF2L1 is a new type of endoplasmic reticulum stress inducible protein, which is related to poor prognosis of various cancer, we initially studied the low expression level of SDF2L1 in NPC, but the molecular mechanism of SDF2L1 in NPC needs further elucidation. To identify phosphorylated proteins regulated by SDF2L1 in nasopharyngeal carcinoma (NPC), Label-free Quantitative (LFQ) Proteomics and 2D-LC-MS/MS analysis were performed on high metastatic NPC 5-8F cells with overexpression of SDF2L1 and empty segment. Western blotting was applied to validate the differentially expressed phosphorylated proteins (DEPPs). As a result, 331 DEPPs were identified by proteomics, and PARVA phosphorylation (ser8) was validated. The present results suggested that PARVA phosphorylation may be a new promising biomarker for predicting NPC and play a key role in the occurrence and development of NPC.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132295140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating the Genomic Background of CRISPR-Cas Genomes for CRISPR-Based Antimicrobials","authors":"Hyun-Chul Shim","doi":"10.1177/11769343221103887","DOIUrl":"https://doi.org/10.1177/11769343221103887","url":null,"abstract":"CRISPR-Cas systems are an adaptive immunity that protects prokaryotes against foreign genetic elements. Genetic templates acquired during past infection events enable DNA-interacting enzymes to recognize foreign DNA for destruction. Due to the programmability and specificity of these genetic templates, CRISPR-Cas systems are potential alternative antibiotics that can be engineered to self-target antimicrobial resistance genes on the chromosome or plasmid. However, several fundamental questions remain to repurpose these tools against drug-resistant bacteria. For endogenous CRISPR-Cas self-targeting, antimicrobial resistance genes and functional CRISPR-Cas systems have to co-occur in the target cell. Furthermore, these tools have to outplay DNA repair pathways that respond to the nuclease activities of Cas proteins, even for exogenous CRISPR-Cas delivery. Here, we conduct a comprehensive survey of CRISPR-Cas genomes. First, we address the co-occurrence of CRISPR-Cas systems and antimicrobial resistance genes in the CRISPR-Cas genomes. We show that the average number of these genes varies greatly by the CRISPR-Cas type, and some CRISPR-Cas types (IE and IIIA) have over 20 genes per genome. Next, we investigate the DNA repair pathways of these CRISPR-Cas genomes, revealing that the diversity and frequency of these pathways differ by the CRISPR-Cas type. The interplay between CRISPR-Cas systems and DNA repair pathways is essential for the acquisition of new spacers in CRISPR arrays. We conduct simulation studies to demonstrate that the efficiency of these DNA repair pathways may be inferred from the time-series patterns in the RNA structure of CRISPR repeats. This bioinformatic survey of CRISPR-Cas genomes elucidates the necessity to consider multifaceted interactions between different genes and systems, to design effective CRISPR-based antimicrobials that can specifically target drug-resistant bacteria in natural microbial communities.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126619360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SPINK5 is a Prognostic Biomarker Associated With the Progression and Prognosis of Laryngeal Squamous Cell Carcinoma Identified by Weighted Gene Co-Expression Network Analysis.","authors":"Jian Liu, Jing Zhao, Jiaran Xu, Qing Sun, Xuemei Qin, Guohui Chen, Tianle Gao, Guangping Bai, Zhiqiang Guo","doi":"10.1177/11769343221077118","DOIUrl":"https://doi.org/10.1177/11769343221077118","url":null,"abstract":"<p><p>Laryngeal squamous cell carcinoma (LSCC) is one of the most common types of head and neck squamous cell carcinomas (HNSCC) and is the second most prevalent malignancy occurring in the head and neck or respiratory tract, with a high incidence and mortality rate. Survival is limited for patients with LSCC. To identify more biomarkers associated with the prognosis of patients with LSCC, using bioinformatics analysis, this study used The Cancer Genome Atlas (TCGA) LSCC dataset and gene expression profiles of GSE59102 from the Gene Expression Omnibus (GEO). Eighty-one differentially co-expressed genes were identified by weighted gene co-expression network analysis (WGCNA). Next, 10 hub genes (PPL, KRT78, CRNN, PTK7, SCEL, AGRN, SPINK5, AIF1L, EMP1, and PPP1R3C) were screened from a protein-protein interaction (PPI) network. Based on survival analysis, SPINK5 was significantly correlated with survival time in LSCC patients. After verification in the TCGA and HPA databases, SPINK5 was selected as a prognostic biomarker. Finally, the GSEA results showed that downregulation of SPINK5 gene expression may promote tumorigenesis and the development of cancers by the \"BASAL CELL CARCINOMA\" pathway, and it has been implicated in disrupting DNA damage and repair pathways. Collectively, SPINK5 may serve as a potential prognostic biomarker in LSCC.</p>","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":" ","pages":"11769343221077118"},"PeriodicalIF":2.6,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/fd/ff/10.1177_11769343221077118.PMC8819746.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39600854","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":"Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method.","authors":"Hongwei Tang, Qingtian Han, Yong Yin","doi":"10.1177/11769343221075014","DOIUrl":"https://doi.org/10.1177/11769343221075014","url":null,"abstract":"<p><strong>Background: </strong>Osteoporosis is a bone disease that increases the patient's risk of fracture. We aimed to identify robust marker genes related to osteoporosis based on different bioinformatic methods and multiple datasets.</p><p><strong>Methods: </strong>Three datasets from Gene Expression Omnibus (GEO) were utilized for analysis separately. Significantly differentially expressed genes (DEGs) from comparing high hip and low hip low bone mineral density (BMD) groups in the first dataset were identified for Gene Ontology (GO), Gene set enrichment analysis (GSEA) and Kyoto encyclopedia of genes and genomes (KEGG) to investigate the discrepantly enriched biological processes between high hip and low hip group. Last absolute shrinkage and selection operator (LASSO), SVM model and protein-protein interaction (PPI) regulatory network were performed and generated robust marker genes for downstream TF-target and miRNA-target prediction.</p><p><strong>Results: </strong>Several DEGs between high hip BMD group and low hip BMD group were obtained. And the metabolism-related pathways such as metabolic pathways, carbon metabolism, glyoxylate and dicarboxylate metabolism shown enrichment in these DEGs. Integration with LASSO regression analysis, 8 differential expression genes (<i>SH3BP1, NARF, ANKRD34B, RNF40, ZNF473, AKT1, SHMT1</i>, and <i>VASH1</i>) in GSE62402 were identified as the optimal differential genes combination. Moreover, the SVM validation analysis in GSE56814 and GSE56815 datasets showed that the characteristic gene combinations presented high diagnostic effects, and the model AUC areas for GSE56814 was 0.899 and for GSE56815 was 0.921. Furthermore, the subcellular localization analysis of the 8 genes revealed that 4 proteins were located in the cytoplasm, 3 proteins were located in the nucleus, and 1 protein was located in the mitochondria. Additionally, the related TFs and miRNAs by performing TF-target and miRNA-target prediction for 5 genes (<i>AKT1, SHMT1, ZNF473, RNF40</i> and <i>VASH1</i>) were investigated from PPI network.</p><p><strong>Conclusion: </strong>The optimal differential genes combination (<i>SH3BP1, NARF, ANKRD34B, RNF40, ZNF473, AKT1, SHMT1</i>, and <i>VASH1</i>) presented high diagnostic effect for osteoporosis risk.</p>","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":" ","pages":"11769343221075014"},"PeriodicalIF":2.6,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/42/f5/10.1177_11769343221075014.PMC8801634.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39882094","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}
Tae-June Choi, Adeel Malik, Hyung-Eun An, Jung-Il Kim, Thinh Dinh Do, Chang-Bae Kim
{"title":"Seasonal Diversity of Microeukaryotes in the Han River, Korea Through 18S rRNA Gene Metabarcoding.","authors":"Tae-June Choi, Adeel Malik, Hyung-Eun An, Jung-Il Kim, Thinh Dinh Do, Chang-Bae Kim","doi":"10.1177/11769343221074688","DOIUrl":"https://doi.org/10.1177/11769343221074688","url":null,"abstract":"<p><p>Freshwater ecosystems contain a large diversity of microeukaryotes that play important roles in maintaining their structure. Microeukaryote communities vary in composition and abundance on the basis of temporal and environmental variables and may serve as useful bioindicators of environmental changes. In the present study, 18S rRNA metabarcoding was employed to investigate the seasonal diversity of microeukaryote communities during four seasons in the Han River, Korea. In total, 882 unique operational taxonomic units (OTUs) were detected, including various diatoms, metazoans (e.g., arthropods and rotifers), chlorophytes, and fungi. Although alpha diversity revealed insignificant differences based on seasons, beta diversity exhibited a prominent variation in the community composition as per seasons. The analysis revealed that the diversity of microeukaryotes was primarily driven by seasonal changes in the prevailing conditions of environmental water temperature and dissolved oxygen. Moreover, potential indicator OTUs belonging to diatoms and chlorophytes were associated with seasonal and environmental factors. This analysis was a preliminary study that established a continuous monitoring system using metabarcoding. This approach could be an effective tool to manage the Han River along with other freshwater ecosystems in Korea.</p>","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":" ","pages":"11769343221074688"},"PeriodicalIF":2.6,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/65/c5/10.1177_11769343221074688.PMC8793432.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39871862","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":"Draft Genome Sequence of <i>Oceanobacillus jordanicus</i> Strain GSFE11, a Halotolerant Plant Growth-Promoting Bacterial Endophyte Isolated From the Jordan Valley.","authors":"Tareq Alhindi, Randa Albdaiwi","doi":"10.1177/11769343211071114","DOIUrl":"https://doi.org/10.1177/11769343211071114","url":null,"abstract":"<p><p>The bacterium <i>Oceanobacillus jordanicus</i> strain GSFE11 is a halotolerant endophyte isolated from sterilized roots of Durum wheat (<i>Triticum turgidum</i> ssp. <i>Durum</i>) growing in hot and arid environments of Ghor Safi area in the Jordan Valley. The draft genome sequence and annotation of this plant growth-promoting endophytic bacterium are reported in this study. The draft genome sequence of <i>Oceanobacillus jordanicus</i> strain GSFE11 has 3 839 208 bp with a G + C content of 39.09%. A total of 3893 protein-coding genes and 68 RNA coding genes were predicted. Several putative genes that are involved in secretion and delivery systems, transport, adhesion, motility, membrane proteins, plant cell wall modification, and detoxification were identified, some are characteristics of endophytes lifestyle including genes that are involved in metabolism of carbohydrate, genes for xylose, fructose and chitin utilization, quinone cofactors biosynthesis, genes associated with nitrogen, sulfur, phosphate and iron acquisition, in addition to genes involved in the biosynthesis of plant hormone auxin. This study highlights the importance of using genome analysis and phylogenomic analysis to resolve the differences between closely related species, such analysis showed <i>Oceanobacillus jordanicus</i> strain GSFE11 to be a new species closely related to <i>Oceanobacillus picturae</i> (genome size 3.67 Mb), <i>Oceanobacillus jordanicus</i> has higher a number of predicted genes compared with <i>Oceanobacillus picturae</i> (3961 genes vs 3823 genes).</p>","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":" ","pages":"11769343211071114"},"PeriodicalIF":2.6,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/75/21/10.1177_11769343211071114.PMC8793414.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39871861","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":"Wenxiang 3.0: Evolutionary Visualization of α, π, and 3/10 Helices","authors":"J. Jungck, Metehan Cebeci","doi":"10.1177/11769343221101014","DOIUrl":"https://doi.org/10.1177/11769343221101014","url":null,"abstract":"Wenxiang diagrams illustrate protein helices as spirals on a plane and thus have the advantage over helical wheels of being planar graphs. Wenxiang 3.0 extends the original version by adding 3 major features: (1) individual amino acid residues can be colored according to their evolutionary conservation in comparative multiple sequence alignments using CONSURF encoding; (2) α, π, and 3/10 helices can be illustrated by overlaying arcs representative of the pitches of these helices; and, (3) the physico-chemical properties of amino acids residues in the protein sequence can be re-presented by colored geometric shapes.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"502 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130267937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paulina Calderon Flores, Jin Seok Yoon, D. Kim, Y. Seo
{"title":"Transcriptome Analysis of MYB Genes and Patterns of Anthocyanin Accumulation During Seed Development in Wheat","authors":"Paulina Calderon Flores, Jin Seok Yoon, D. Kim, Y. Seo","doi":"10.1177/11769343221093341","DOIUrl":"https://doi.org/10.1177/11769343221093341","url":null,"abstract":"Plants accumulate key metabolites as a response of biotic/abiotic stress conditions. In seed coats, anthocyanins, carotenoids, and chlorophylls can be found. They have been associated as important antioxidants that affect germination. In wheat, anthocyanins can impart the seed coat color which have been recognized as health-promoting nutrients. Transcription factors act as master regulators of cellular processes. Transcription complexes such as MYB-bHLH-WD40 (MBW) regulate the expression of multiple target genes in various plant species. In this study, the spatiotemporal accumulation of seed coat pigments in different developmental stages (10, 20, 30, and 40 days after pollination) was analyzed using cryo-cuts. Moreover, the accumulation of phenolic, anthocyanin, and chlorophyll contents was quantified, and the expression of flavonoid biosynthetic genes was evaluated. Finally, transcriptome analysis was performed to analyze putative MYB genes related to seed coat color, followed by further characterization of putative genes. TaTCL2, an MYB gene, was cloned and sequenced. It was determined that TaTCL2 contains a SANT domain, which is often present in proteins participating in the response to anthocyanin accumulation. Moreover, TaTCL2 transcript levels were shown to be influenced by anthocyanin accumulation during grain development. Interaction network analysis showed interactions with GL2 (HD-ZIP IV), EGL3 (bHLH), and TTG1 (WD40). The findings of this study elucidate the mechanisms underlying color formation in Triticum aestivum L. seed coats.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115796575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Zhou, Yali Yuan, Pengli Xu, Bin Yi, Hongju Chen, Wei Su
{"title":"Host-Population Microbial Diversity Scaling of Chinese Gut Microbiomes in Gout Patients","authors":"Jie Zhou, Yali Yuan, Pengli Xu, Bin Yi, Hongju Chen, Wei Su","doi":"10.1177/11769343221095858","DOIUrl":"https://doi.org/10.1177/11769343221095858","url":null,"abstract":"Gout is a prevalent chronic inflammatory disease that affects the life of tens of millions of people worldwide, and it typically presents as gout arthritis, gout stone, or even kidney damage. Research has revealed its connection with the gut microbiome, although exact mechanism is still unclear. Studies have shown the decline of microbiome diversity in gout patients and change of microbiome compositions between the gout patients and healthy controls. Nevertheless, how diversity changes across host individuals at a cohort (population) level has not been investigated to the best of our knowledge. Here we apply the diversity-area relationship (DAR), which is an extension to the classic SAR (species-area relationship) and establishes the power-function model between microbiome diversity and the number of individuals within cohort, to comparatively investigate diversity scaling (changes) of gut microbiome in gout patients and healthy controls. The DAR modeling with a study involving 83 subjects (41 gout patients) revealed that the potential number of microbial species in gout patients is only 70% of that in the healthy control (2790 vs 3900) although the difference may not be statistically significant. The other DAR parameters including diversity scaling and similarity parameters did not show statistically significant differences. We postulate that the high resilience of gut microbiome may explain the lack of significant gout-disease effects on gut microbial diversity at the population level. The lack of statistically significant difference between the gout patients and healthy controls at host population (cohort) level is different from the previous findings at individual level in the existing literature.","PeriodicalId":136690,"journal":{"name":"Evolutionary Bioinformatics Online","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129674510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}