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      Mechanism of protective effect of xuan-bai-cheng-qi decoction on LPS-induced acute lung injury based on an integrated network pharmacology and RNA-sequencing approach

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          Abstract

          Xuan-bai-cheng-qi decoction (XCD), a traditional Chinese medicine (TCM) prescription, has been widely used to treat a variety of respiratory diseases in China, especially to seriously infectious diseases such as acute lung injury (ALI). Due to the complexity of the chemical constituent, however, the underlying pharmacological mechanism of action of XCD is still unclear. To explore its protective mechanism on ALI, firstly, a network pharmacology experiment was conducted to construct a component-target network of XCD, which identified 46 active components and 280 predicted target genes. Then, RNA sequencing (RNA-seq) was used to screen differentially expressed genes (DEGs) between ALI model rats treated with and without XCD and 753 DEGs were found. By overlapping the target genes identified using network pharmacology and DEGs using RNA-seq, and subsequent protein–protein interaction (PPI) network analysis, 6 kernel targets such as vascular epidermal growth factor (VEGF), mammalian target of rapamycin (mTOR), AKT1, hypoxia-inducible factor-1α (HIF-1α), and phosphoinositide 3-kinase (PI3K) and gene of phosphate and tension homology deleted on chromsome ten (PTEN) were screened out to be closely relevant to ALI treatment. Verification experiments in the LPS-induced ALI model rats showed that XCD could alleviate lung tissue pathological injury through attenuating proinflammatory cytokines release such as tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β. Meanwhile, both the mRNA and protein expression levels of PI3K, mTOR, HIF-1α, and VEGF in the lung tissues were down-regulated with XCD treatment. Therefore, the regulations of XCD on PI3K/mTOR/HIF-1α/VEGF signaling pathway was probably a crucial mechanism involved in the protective mechanism of XCD on ALI treatment.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12931-021-01781-1.

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          Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

          Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximately 68 bioinformatics enrichment tools that are currently available in the community are collected in this survey. Tools are uniquely categorized into three major classes, according to their underlying enrichment algorithms. The comprehensive collections, unique tool classifications and associated questions/issues will provide a more comprehensive and up-to-date view regarding the advantages, pitfalls and recent trends in a simpler tool-class level rather than by a tool-by-tool approach. Thus, the survey will help tool designers/developers and experienced end users understand the underlying algorithms and pertinent details of particular tool categories/tools, enabling them to make the best choices for their particular research interests.
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            UniProt: a worldwide hub of protein knowledge

            (2018)
            Abstract The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.
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              KEGG: new perspectives on genomes, pathways, diseases and drugs

              KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the KEGG database project. Molecular-level functions are stored in the KO (KEGG Orthology) database, where each KO is defined as a functional ortholog of genes and proteins. Higher-level functions are represented by networks of molecular interactions, reactions and relations in the forms of KEGG pathway maps, BRITE hierarchies and KEGG modules. In the past the KO database was developed for the purpose of defining nodes of molecular networks, but now the content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases. The newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined. Furthermore, the DISEASE and DRUG databases have been improved by systematic analysis of drug labels for better integration of diseases and drugs with the KEGG molecular networks. KEGG is moving towards becoming a comprehensive knowledge base for both functional interpretation and practical application of genomic information.
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                Author and article information

                Contributors
                tbot@163.com
                aidongy@126.com
                Journal
                Respir Res
                Respir Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                28 June 2021
                28 June 2021
                2021
                : 22
                : 188
                Affiliations
                [1 ]GRID grid.412540.6, ISNI 0000 0001 2372 7462, School of Basic Medical Science, , Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                [2 ]GRID grid.412585.f, ISNI 0000 0004 0604 8558, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                [3 ]GRID grid.412540.6, ISNI 0000 0001 2372 7462, Center for Research and Interdisciplinary, , Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                [4 ]GRID grid.410648.f, ISNI 0000 0001 1816 6218, College of Traditional Chinese Medicine, , Tianjin University of Traditional Chinese Medicine, ; Tianjin, 301617 China
                Author information
                http://orcid.org/0000-0002-9855-1470
                Article
                1781
                10.1186/s12931-021-01781-1
                8237774
                34183011
                9f36e6a4-3ce3-4b02-9118-2744455dd95e
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 December 2020
                : 21 June 2021
                Funding
                Funded by: Ministry of Science and Technology of China
                Award ID: 2018YFC1704102
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81673855
                Award Recipient :
                Funded by: Shanghai Municipal Commission of Health and Family Planning
                Award ID: ZY (2018-2020)-CCCX-2001-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100010876, Shanghai University of Traditional Chinese Medicine;
                Award ID: A1-Z193020109
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100007279, Shanghai Municipal Health Bureau;
                Award ID: 201740199
                Award Recipient :
                Funded by: Shanghai Shuguang Hospital
                Award ID: SGXZ-201907
                Award Recipient :
                Funded by: Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research, Ministry of Education (CN)
                Award ID: 14DZ2273200
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Respiratory medicine
                xuan-bai-cheng-qi decoction,acute lung injury,network pharmacology,gene sequencing,mechanism

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