MatrixDB 2024: an increased coverage of extracellular matrix interactions, a new Network Explorer and a new web interface.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kasun W Samarasinghe, Max Kotlyar, Sylvain D Vallet, Catherine Hayes, Alexandra Naba, Igor Jurisica, Frédérique Lisacek, Sylvie Ricard-Blum
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引用次数: 0

Abstract

MatrixDB, a member of the International Molecular Exchange consortium (IMEx), is a curated interaction database focused on interactions established by extracellular matrix (ECM) constituents including proteins, proteoglycans, glycosaminoglycans and ECM bioactive fragments. The architecture of MatrixDB was upgraded to ease interaction data export, allow versioning and programmatic access and ensure sustainability. The new version of the database includes more than twice the number of manually curated and experimentally-supported interactions. High-confidence predicted interactions were imported from the Integrated Interactions Database to increase the coverage of the ECM interactome. ECM and ECM-associated proteins of five species (human, murine, bovine, avian and zebrafish) were annotated with matrisome divisions and categories, which are used for computational analyses of ECM -omic datasets. Biological pathways from the Reactome Pathway Knowledgebase were also added to the biomolecule description. New transcriptomic and expanded proteomic datasets were imported in MatrixDB to generate cell- and tissue-specific ECM networks using the newly developed in-house Network Explorer integrated in the database. MatrixDB is freely available at https://matrixdb.univ-lyon1.fr.

MatrixDB 2024:增加了细胞外基质相互作用的覆盖范围、新的网络资源管理器和新的网络界面。
MatrixDB 是国际分子交换联盟 (IMEx) 的成员之一,是一个经过编辑的相互作用数据库,重点关注细胞外基质 (ECM) 成分(包括蛋白质、蛋白聚糖、糖胺聚糖和 ECM 生物活性片段)建立的相互作用。MatrixDB 的架构已经升级,以方便交互数据导出,允许版本和程序访问,并确保可持续性。新版数据库包含的人工编辑和实验支持的相互作用数量是原来的两倍多。从综合相互作用数据库导入了高置信度的预测相互作用,以扩大 ECM 相互作用组的覆盖范围。对五个物种(人、鼠、牛、禽和斑马鱼)的 ECM 和 ECM 相关蛋白进行了 matrisome 分区和类别注释,用于 ECM -omic 数据集的计算分析。生物大分子描述中还添加了来自 Reactome Pathway Knowledgebase 的生物通路。新的转录组数据集和扩展的蛋白质组数据集被导入 MatrixDB,利用数据库中集成的新开发的内部网络资源管理器生成细胞和组织特异性 ECM 网络。MatrixDB 可在 https://matrixdb.univ-lyon1.fr 免费获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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