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  1. Article ; Online: A Mathematical Model Combined with Radar Data for Bell-Less Charging of a Blast Furnace

    Meng Li / Han Wei / Yao Ge / Guocai Xiao / Yaowei Yu

    Processes, Vol 8, Iss 2, p

    2020  Volume 239

    Abstract: Charging directly affects the burden distribution of a blast furnace, which determines the gas distribution in the shaft of the furnace. Adjusting the charging can improve the distribution of the gas flow, increase the gas utilization efficiency of the ... ...

    Abstract Charging directly affects the burden distribution of a blast furnace, which determines the gas distribution in the shaft of the furnace. Adjusting the charging can improve the distribution of the gas flow, increase the gas utilization efficiency of the furnace, reduce energy consumption, and prolong the life of the blast furnace. In this paper, a mathematical model of blast furnace charging was developed and applied on a steel plant in China, which includes the display of the burden profile, burden layers, descent speed of the layers, and ore/coke ratio. Furthermore, the mathematical model is developed to combine the radar data of the burden profile. The above model is currently used in Nanjing Steel as a reference for operators to adjust the charging. The model is being tested with a radar system on the blast furnace.
    Keywords blast furnace ; charging system ; mathematical model ; radar data ; burden distribution ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Broadly Effective ACE2 Decoy Proteins Protect Mice from Lethal SARS-CoV-2 Infection.

    Lu, Mengjia / Yao, Weitong / Li, Yujun / Ma, Danting / Zhang, Zhaoyong / Wang, Haimin / Tang, Xiaojuan / Wang, Yanqun / Li, Chao / Cheng, Dechun / Lin, Hua / Yin, Yandong / Zhao, Jincun / Zhong, Guocai

    Microbiology spectrum

    2023  Volume 11, Issue 4, Page(s) e0110023

    Abstract: As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have been causing increasingly serious drug resistance problem, development of broadly effective and hard-to-escape anti-SARS-CoV-2 agents is an urgent need. Here, we describe ... ...

    Abstract As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have been causing increasingly serious drug resistance problem, development of broadly effective and hard-to-escape anti-SARS-CoV-2 agents is an urgent need. Here, we describe further development and characterization of two SARS-CoV-2 receptor decoy proteins, ACE2-Ig-95 and ACE2-Ig-105/106. We found that both proteins had potent and robust
    MeSH term(s) Animals ; Mice ; COVID-19 ; SARS-CoV-2 ; Angiotensin-Converting Enzyme 2 ; Biological Products ; Disease Models, Animal
    Chemical Substances N-(2,6-dimethoxypyridine-3-yl)-9-methylcarbazole-3-sulfonamide ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23) ; Biological Products
    Language English
    Publishing date 2023-07-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.01100-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: E74 knockdown represses larval development and chitin synthesis in Hyphantria cunea.

    Zhang, Bihan / Yao, Bin / Li, Xingpeng / Jing, Tianzhong / Zhang, Shengyu / Zou, Hang / Zhang, Guocai / Zou, Chuanshan

    Pesticide biochemistry and physiology

    2022  Volume 187, Page(s) 105216

    Abstract: E74 is a key transcription factor induced by 20E, which plays a broad role in many physiological events during insect growth and development, including vitellogenesis, organ remodeling and new tissue formation, programmed cell death and metamorphosis. ... ...

    Abstract E74 is a key transcription factor induced by 20E, which plays a broad role in many physiological events during insect growth and development, including vitellogenesis, organ remodeling and new tissue formation, programmed cell death and metamorphosis. However, whether it is involved in regulating insect chitin biosynthesis remains largely unclear. Here, the E74 gene was identified for the first time from Hyphantria cunea, a notorious defoliator of forestry. Thereafter, the role of HcE74 in regulating growth, development and chitin synthesis in H. cunea larvae was evaluated. Bioinformatics analysis showed that HcE74 shared the highest identity (95.53%) with E74A of Spodoptera litura, which belonged to Ets superfamily. The results of RNAi bioassay showed that the larval mortality on 6 d after HcE74 knockdown was up to 51.11 ± 6.94%. Meanwhile, a distinct developmental deformity phenotype was found when HcE74 was silenced. These results indicated that HcE74 plays an important role in the development and molting of H. cunea larvae. Moreover, HcE74 knockdown also significantly decreased the expression of four key genes related to chitin synthesis, including glucose-6-phosphate isomerase (HcG6PI), UDP-N-acetylglucosamine pyrophosphorylase (HcUAP), chitin synthetase A (HcCHSA), and chitin synthetase B (HcCHSB). As a result, the content of chitin in midgut and epidermis decreased by 0.54- and 0.08-fold, respectively. Taken together, these results demonstrated that HcE74 not only plays a critical role in the growth and molting of H. cunea larvae, but also probably participates in the transcriptional regulation of genes involved in chitin biosynthesis.
    MeSH term(s) Animals ; Chitin ; Glucose-6-Phosphate Isomerase/metabolism ; Insecta ; Larva ; Ligases/metabolism ; Moths ; Transcription Factors
    Chemical Substances Transcription Factors ; Chitin (1398-61-4) ; Glucose-6-Phosphate Isomerase (EC 5.3.1.9) ; Ligases (EC 6.-)
    Language English
    Publishing date 2022-08-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 184819-7
    ISSN 1095-9939 ; 0048-3583 ; 0048-3575
    ISSN (online) 1095-9939
    ISSN 0048-3583 ; 0048-3575
    DOI 10.1016/j.pestbp.2022.105216
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: E74 knockdown represses larval development and chitin synthesis in Hyphantria cunea

    Zhang, Bihan / Yao, Bin / Li, Xingpeng / Jing, Tianzhong / Zhang, Shengyu / Zou, Hang / Zhang, Guocai / Zou, Chuanshan

    Pesticide biochemistry and physiology. 2022 Oct., v. 187

    2022  

    Abstract: E74 is a key transcription factor induced by 20E, which plays a broad role in many physiological events during insect growth and development, including vitellogenesis, organ remodeling and new tissue formation, programmed cell death and metamorphosis. ... ...

    Abstract E74 is a key transcription factor induced by 20E, which plays a broad role in many physiological events during insect growth and development, including vitellogenesis, organ remodeling and new tissue formation, programmed cell death and metamorphosis. However, whether it is involved in regulating insect chitin biosynthesis remains largely unclear. Here, the E74 gene was identified for the first time from Hyphantria cunea, a notorious defoliator of forestry. Thereafter, the role of HcE74 in regulating growth, development and chitin synthesis in H. cunea larvae was evaluated. Bioinformatics analysis showed that HcE74 shared the highest identity (95.53%) with E74A of Spodoptera litura, which belonged to Ets superfamily. The results of RNAi bioassay showed that the larval mortality on 6 d after HcE74 knockdown was up to 51.11 ± 6.94%. Meanwhile, a distinct developmental deformity phenotype was found when HcE74 was silenced. These results indicated that HcE74 plays an important role in the development and molting of H. cunea larvae. Moreover, HcE74 knockdown also significantly decreased the expression of four key genes related to chitin synthesis, including glucose-6-phosphate isomerase (HcG6PI), UDP-N-acetylglucosamine pyrophosphorylase (HcUAP), chitin synthetase A (HcCHSA), and chitin synthetase B (HcCHSB). As a result, the content of chitin in midgut and epidermis decreased by 0.54- and 0.08-fold, respectively. Taken together, these results demonstrated that HcE74 not only plays a critical role in the growth and molting of H. cunea larvae, but also probably participates in the transcriptional regulation of genes involved in chitin biosynthesis.
    Keywords Hyphantria cunea ; Spodoptera litura ; bioassays ; bioinformatics ; biosynthesis ; cell death ; chitin ; defoliating insects ; forestry ; genes ; glucose-6-phosphate isomerase ; insect growth ; larvae ; larval development ; metamorphosis ; midgut ; mortality ; pesticides ; phenotype ; transcription (genetics) ; transcription factors ; vitellogenesis
    Language English
    Dates of publication 2022-10
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 184819-7
    ISSN 1095-9939 ; 0048-3583 ; 0048-3575
    ISSN (online) 1095-9939
    ISSN 0048-3583 ; 0048-3575
    DOI 10.1016/j.pestbp.2022.105216
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Combined alignments of sequences and domains characterize unknown proteins with remotely related protein search PSISearch2D.

    Yang, Minglei / Zhang, Wenliang / Yao, Guocai / Zhang, Haiyue / Li, Weizhong

    Database : the journal of biological databases and curation

    2019  Volume 2019

    Abstract: Iterative homology search has been widely used in identification of remotely related proteins. Our previous study has found that the query-seeded sequence iterative search can reduce homologous over-extension errors and greatly improve selectivity. ... ...

    Abstract Iterative homology search has been widely used in identification of remotely related proteins. Our previous study has found that the query-seeded sequence iterative search can reduce homologous over-extension errors and greatly improve selectivity. However, iterative homology search remains challenging in protein functional prediction. More sensitive scoring models are highly needed to improve the predictive performance of the alignment methods, and alignment annotation with better visualization has also become imperative for result interpretation. Here we report an open-source application PSISearch2D that runs query-seeded iterative sequence search for remotely related protein detection. PSISearch2D retrieves domain annotation from Pfam, UniProtKB, CDD and PROSITE for resulting hits and demonstrates combined domain and sequence alignments in novel visualizations. A scoring model called C-value is newly defined to re-order hits with consideration of the combination of sequence and domain alignments. The benchmarking on the use of C-value indicates that PSISearch2D outperforms the original PSISearch2 tool in terms of both accuracy and specificity. PSISearch2D improves the characterization of unknown proteins in remote protein detection. Our evaluation tests show that PSISearch2D has provided annotation for 77 695 of 139 503 unknown bacteria proteins and 140 751 of 352 757 unknown virus proteins in UniProtKB, about 2.3-fold and 1.8-fold more characterization than the original PSISearch2, respectively. Together with advanced features of auto-iteration mode to handle large-scale data and optional programs for global and local sequence alignments, PSISearch2D enhances remotely related protein search.
    MeSH term(s) Algorithms ; Databases, Protein ; Models, Molecular ; Proteins/chemistry ; Proteins/genetics ; Sequence Alignment ; Sequence Analysis, Protein
    Chemical Substances Proteins
    Language English
    Publishing date 2019-07-18
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2496706-3
    ISSN 1758-0463 ; 1758-0463
    ISSN (online) 1758-0463
    ISSN 1758-0463
    DOI 10.1093/database/baz092
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: ncRPheno: a comprehensive database platform for identification and validation of disease related noncoding RNAs.

    Zhang, Wenliang / Yao, Guocai / Wang, Jianbo / Yang, Minglei / Wang, Jing / Zhang, Haiyue / Li, Weizhong

    RNA biology

    2020  Volume 17, Issue 7, Page(s) 943–955

    Abstract: Noncoding RNAs (ncRNAs) play critical roles in many critical biological processes and have become a novel class of potential targets and bio-markers for disease diagnosis, therapy, and prognosis. Annotating and analysing ncRNA-disease association data ... ...

    Abstract Noncoding RNAs (ncRNAs) play critical roles in many critical biological processes and have become a novel class of potential targets and bio-markers for disease diagnosis, therapy, and prognosis. Annotating and analysing ncRNA-disease association data are essential but challenging. Current computational resources lack comprehensive database platforms to consistently interpret and prioritize ncRNA-disease association data for biomedical investigation and application. Here, we present the ncRPheno database platform (http://lilab2.sysu.edu.cn/ncrpheno), which comprehensively integrates and annotates ncRNA-disease association data and provides novel searches, visualizations, and utilities for association identification and validation. ncRPheno contains 482,751 non-redundant associations between 14,494 ncRNAs and 3,210 disease phenotypes across 11 species with supporting evidence in the literature. A scoring model was refined to prioritize the associations based on evidential metrics. Moreover, ncRPheno provides user-friendly web interfaces, novel visualizations, and programmatic access to enable easy exploration, analysis, and utilization of the association data. A case study through ncRPheno demonstrated a comprehensive landscape of ncRNAs dysregulation associated with 22 cancers and uncovered 821 cancer-associated common ncRNAs. As a unique database platform, ncRPheno outperforms the existing similar databases in terms of data coverage and utilities, and it will assist studies in encoding ncRNAs associated with phenotypes ranging from genetic disorders to complex diseases.
    Abbreviations: APIs: application programming interfaces; circRNA: circular RNA; ECO: Evidence & Conclusion Ontology; EFO: Experimental Factor Ontology; FDR: false discovery rate; GO: Gene Ontology; GWAS: genome wide association studies; HPO: Human Phenotype Ontology; ICGC: International Cancer Genome Consortium; lncRNA: long noncoding RNA; miRNA: micro RNA; ncRNA: noncoding RNA; NGS: next generation sequencing; OMIM: Online Mendelian Inheritance in Man; piRNA: piwi-interacting RNA; snoRNA: small nucleolar RNA; TCGA: The Cancer Genome Atlas.
    MeSH term(s) Algorithms ; Databases, Genetic ; Gene Ontology ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; MicroRNAs ; Models, Theoretical ; Phenotype ; RNA, Circular ; RNA, Long Noncoding ; RNA, Untranslated/genetics ; User-Computer Interface ; Web Browser
    Chemical Substances MicroRNAs ; RNA, Circular ; RNA, Long Noncoding ; RNA, Untranslated
    Language English
    Publishing date 2020-03-26
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2159587-2
    ISSN 1555-8584 ; 1555-8584
    ISSN (online) 1555-8584
    ISSN 1555-8584
    DOI 10.1080/15476286.2020.1737441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Evolution of SARS-CoV-2 Spikes shapes their binding affinities to animal ACE2 orthologs.

    Yao, Weitong / Li, Yujun / Ma, Danting / Hou, Xudong / Wang, Haimin / Tang, Xiaojuan / Cheng, Dechun / Zhang, He / Du, Chengzhi / Pan, Hong / Li, Chao / Lin, Hua / Sun, Mengsi / Ding, Qiang / Wang, Yingjie / Gao, Jiali / Zhong, Guocai

    Microbiology spectrum

    2023  Volume 11, Issue 6, Page(s) e0267623

    Abstract: Importance: Spike-receptor interaction is a critical determinant for the host range of coronaviruses. In this study, we investigated the SARS-CoV-2 WHU01 strain and five WHO-designated SARS-CoV-2 variants of concern (VOCs), including Alpha, Beta, Gamma, ...

    Abstract Importance: Spike-receptor interaction is a critical determinant for the host range of coronaviruses. In this study, we investigated the SARS-CoV-2 WHU01 strain and five WHO-designated SARS-CoV-2 variants of concern (VOCs), including Alpha, Beta, Gamma, Delta, and the early Omicron variant, for their Spike interactions with ACE2 proteins of 18 animal species. First, the receptor-binding domains (RBDs) of Alpha, Beta, Gamma, and Omicron were found to display progressive gain of affinity to mouse ACE2. More interestingly, these RBDs were also found with progressive loss of affinities to multiple ACE2 orthologs. The Omicron RBD showed decreased or complete loss of affinity to eight tested animal ACE2 orthologs, including that of some livestock animals (horse, donkey, and pig), pet animals (dog and cat), and wild animals (pangolin, American pika, and
    MeSH term(s) Animals ; Cats ; Dogs ; Mice ; Angiotensin-Converting Enzyme 2/metabolism ; Animals, Wild/virology ; Cat Diseases/virology ; Chiroptera/virology ; COVID-19/metabolism ; Dog Diseases/virology ; Horses/virology ; Mutation ; Protein Binding ; SARS-CoV-2/genetics ; SARS-CoV-2/metabolism ; Swine/virology ; Spike Glycoprotein, Coronavirus/genetics
    Chemical Substances Angiotensin-Converting Enzyme 2 (EC 3.4.17.23) ; spike protein, SARS-CoV-2 ; Spike Glycoprotein, Coronavirus
    Language English
    Publishing date 2023-11-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.02676-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes.

    Yao, Guocai / Zhang, Wenliang / Yang, Minglei / Yang, Huan / Wang, Jianbo / Zhang, Haiyue / Wei, Lai / Xie, Zhi / Li, Weizhong

    Genomics, proteomics & bioinformatics

    2021  Volume 18, Issue 6, Page(s) 760–772

    Abstract: Microbes play important roles in human health and disease. The interaction between microbes and hosts is a reciprocal relationship, which remains largely under-explored. Current computational resources lack manually and consistently curated data to ... ...

    Abstract Microbes play important roles in human health and disease. The interaction between microbes and hosts is a reciprocal relationship, which remains largely under-explored. Current computational resources lack manually and consistently curated data to connect metagenomic data to pathogenic microbes, microbial core genes, and disease phenotypes. We developed the MicroPhenoDB database by manually curating and consistently integrating microbe-disease association data. MicroPhenoDB provides 5677 non-redundant associations between 1781 microbes and 542 human disease phenotypes across more than 22 human body sites. MicroPhenoDB also provides 696,934 relationships between 27,277 unique clade-specific core genes and 685 microbes. Disease phenotypes are classified and described using the Experimental Factor Ontology (EFO). A refined score model was developed to prioritize the associations based on evidential metrics. The sequence search option in MicroPhenoDB enables rapid identification of existing pathogenic microbes in samples without running the usual metagenomic data processing and assembly. MicroPhenoDB offers data browsing, searching, and visualization through user-friendly web interfaces and web service application programming interfaces. MicroPhenoDB is the first database platform to detail the relationships between pathogenic microbes, core genes, and disease phenotypes. It will accelerate metagenomic data analysis and assist studies in decoding microbes related to human diseases. MicroPhenoDB is available through http://www.liwzlab.cn/microphenodb and http://lilab2.sysu.edu.cn/microphenodb.
    MeSH term(s) Genes, Microbial ; Humans ; Metagenome ; Metagenomics ; Phenotype ; Software
    Language English
    Publishing date 2021-01-06
    Publishing country China
    Document type Journal Article
    ZDB-ID 2240213-5
    ISSN 2210-3244 ; 1672-0229
    ISSN (online) 2210-3244
    ISSN 1672-0229
    DOI 10.1016/j.gpb.2020.11.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Metformin-induced AMPK activation suppresses larval growth and molting probably by disrupting 20E synthesis and glycometabolism in fall webworm, Hyphantria cunea Drury

    Zou, Haifeng / Zou, Hang / Li, Xingpeng / Qiu, Qian / Geng, Nannan / Zhang, Bihan / Yan, Gaige / Zhang, Zhidong / Zhang, Shengyu / Yao, Bin / Zhang, Guocai / Zou, Chuanshan

    Pesticide biochemistry and physiology. 2022 May, v. 183

    2022  

    Abstract: Metformin, considered to be a potent AMPK activator, is widely used for clinical therapy of cancer and diabetes due to its distinct function in regulating cell energy balance and body metabolism. However, the effect of metformin-induced AMPK activation ... ...

    Abstract Metformin, considered to be a potent AMPK activator, is widely used for clinical therapy of cancer and diabetes due to its distinct function in regulating cell energy balance and body metabolism. However, the effect of metformin-induced AMPK activation on the growth and development of insects remains largely unknown. In the present study, we focused on the role of metformin in regulating the growth and development of Hyphantria cunea, a notorious defoliator in the forestry. Firstly, we obtained the complete coding sequences of HcAMPKα2, HcAMPKβ1, HcAMPKγ2 from H. cunea, which encoded a protein of 512, 281, and 680 amino acids respectively. Furthermore, the phylogenetic analysis revealed that these three subunits were highly homologous with the AMPK subunits from other lepidopteran species. According to the bioassay, we found metformin remarkably restrained the growth and development of H. cunea larvae, and caused molting delayed and body weight reduced. In addition, expressions of HcAMPKα2, HcAMPKβ1, and HcAMPKγ2 were upregulated 3.30-, 5.93- and 5.92-folds at 24 h after treatment, confirming that metformin activated AMPK signaling at the transcriptional level in H. cunea larvae. Conversely, the expressions of two vital Halloween genes (HcCYP306A1 and HcCYP314A1) in the 20E synthesis pathway were remarkably suppressed by metformin. Thus, we presumed that metformin delayed larval molting probably by impeding 20E synthesis in the H. cunea larvae. Finally, we found that metformin accelerated glycogen breakdown, elevated in vivo trehalose level, promoted chitin synthesis, and upregulated transcriptions of the genes in chitin synthesis pathway. Taken together, the findings provide a new insight into the molecular mechanisms by which AMPK regulates carbohydrate metabolism and chitin synthesis in insects.
    Keywords Hyphantria cunea ; bioassays ; body weight ; carbohydrate metabolism ; chitin ; defoliating insects ; diabetes ; energy balance ; forestry ; glycogen ; larval development ; metformin ; pesticides ; phylogeny ; therapeutics ; transcription (genetics) ; trehalose
    Language English
    Dates of publication 2022-05
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 184819-7
    ISSN 1095-9939 ; 0048-3583 ; 0048-3575
    ISSN (online) 1095-9939
    ISSN 0048-3583 ; 0048-3575
    DOI 10.1016/j.pestbp.2022.105083
    Database NAL-Catalogue (AGRICOLA)

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  10. Article: ncRPheno: a comprehensive database platform for identification and validation of disease related noncoding RNAs

    Zhang, Wenliang / Yao, Guocai / Wang, Jianbo / Yang, Minglei / Wang, Jing / Zhang, Haiyue / Li, Weizhong

    RNA biology. 2020 July 02, v. 17, no. 7

    2020  

    Abstract: Noncoding RNAs (ncRNAs) play critical roles in many critical biological processes and have become a novel class of potential targets and bio-markers for disease diagnosis, therapy, and prognosis. Annotating and analysing ncRNA-disease association data ... ...

    Abstract Noncoding RNAs (ncRNAs) play critical roles in many critical biological processes and have become a novel class of potential targets and bio-markers for disease diagnosis, therapy, and prognosis. Annotating and analysing ncRNA-disease association data are essential but challenging. Current computational resources lack comprehensive database platforms to consistently interpret and prioritize ncRNA-disease association data for biomedical investigation and application. Here, we present the ncRPheno database platform (http://lilab2.sysu.edu.cn/ncrpheno), which comprehensively integrates and annotates ncRNA-disease association data and provides novel searches, visualizations, and utilities for association identification and validation. ncRPheno contains 482,751 non-redundant associations between 14,494 ncRNAs and 3,210 disease phenotypes across 11 species with supporting evidence in the literature. A scoring model was refined to prioritize the associations based on evidential metrics. Moreover, ncRPheno provides user-friendly web interfaces, novel visualizations, and programmatic access to enable easy exploration, analysis, and utilization of the association data. A case study through ncRPheno demonstrated a comprehensive landscape of ncRNAs dysregulation associated with 22 cancers and uncovered 821 cancer-associated common ncRNAs. As a unique database platform, ncRPheno outperforms the existing similar databases in terms of data coverage and utilities, and it will assist studies in encoding ncRNAs associated with phenotypes ranging from genetic disorders to complex diseases. APIs: application programming interfaces; circRNA: circular RNA; ECO: Evidence & Conclusion Ontology; EFO: Experimental Factor Ontology; FDR: false discovery rate; GO: Gene Ontology; GWAS: genome wide association studies; HPO: Human Phenotype Ontology; ICGC: International Cancer Genome Consortium; lncRNA: long noncoding RNA; miRNA: micro RNA; ncRNA: noncoding RNA; NGS: next generation sequencing; OMIM: Online Mendelian Inheritance in Man; piRNA: piwi-interacting RNA; snoRNA: small nucleolar RNA; TCGA: The Cancer Genome Atlas
    Keywords biomarkers ; case studies ; circular RNA ; genetic disorders ; genome ; high-throughput nucleotide sequencing ; microRNA ; models ; neoplasms ; non-coding RNA ; phenotype ; small interfering RNA ; user interface
    Language English
    Dates of publication 2020-0702
    Size p. 943-955.
    Publishing place Taylor & Francis
    Document type Article
    ISSN 1555-8584
    DOI 10.1080/15476286.2020.1737441
    Database NAL-Catalogue (AGRICOLA)

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