• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

微小 RNA 儿童癌症目录 (M3Cs):儿科癌症转化生物信息学向健康信息学的资源。

MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer.

机构信息

Research Department, Children's Cancer Hospital Egypt, 1 Seket Al-Emam Street - El-Madbah El-Kadeem Yard - El-Saida Zenab, Cairo 11441, Egypt.

Armed Forces College of Medicine, Ehsan Abd El Kodous Street (From Al Khalifa Al Mamon Street), Cairo 55411, Egypt.

出版信息

Database (Oxford). 2022 Mar 18;2022. doi: 10.1093/database/baac013.

DOI:10.1093/database/baac013
PMID:35303059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9216566/
Abstract

MicroRNA childhood Cancer Catalog (M3Cs) is a high-quality curated collection of published miRNA research studies on 16 pediatric cancer diseases. M3Cs scope was based on two approaches: data-driven clinical significance and data-driven human pediatric cell line models. Based on the translational bioinformatics spectrum, the main objective of this study is to bring miRNA research into clinical significance in both pediatric cancer patient care and drug discovery toward health informatics in childhood cancer. M3Cs development passed through three phases: 1. Literature Mining: It includes external database search and screening. 2. Data processing that includes three steps: (a) Data Extraction, (b) Data Curation and annotation, (c) Web Development. 3. Publishing: Shinyapps.io was used as a web interface for the deployment of M3Cs. M3Cs is now available online and can be accessed through https://m3cs.shinyapps.io/M3Cs/. For data-driven clinical significance approach, 538 miRNAs from 268 publications were reported in the clinical domain while 7 miRNAs from 5 publications were reported in the clinical & drug domain. For data-driven human pediatric cell line models approach, 538 miRNAs from 1268 publications were reported in the cell line domain while 211 miRNAs from 177 publications in the cell line & drug domain. M3Cs acted to fill the gap by applying translational bioinformatics general pathway to transfer data-driven research toward data-driven clinical care and/or hypothesis generation. Aggregated and well-curated data of M3Cs will enable stakeholders in health care to incorporate miRNA in the clinical policy. Database URL:https://m3cs.shinyapps.io/M3Cs/.

摘要

儿童癌症 MicroRNA 目录(M3Cs)是一个高质量的经过精心整理的已发表 miRNA 研究文献集合,涵盖了 16 种儿科癌症疾病。M3Cs 的范围基于两种方法:基于数据的临床意义和基于数据的人类儿科细胞系模型。基于转化生物信息学的范围,本研究的主要目标是将 miRNA 研究纳入儿科癌症患者护理和药物发现的临床意义,以实现儿童癌症的健康信息学。M3Cs 的开发经历了三个阶段:1. 文献挖掘:包括外部数据库搜索和筛选。2. 数据处理,包括三个步骤:(a) 数据提取,(b) 数据整理和注释,(c) 网络开发。3. 发布:Shinyapps.io 被用作 M3Cs 的网络接口。M3Cs 现在可以在线访问,可通过 https://m3cs.shinyapps.io/M3Cs/ 进行访问。对于基于数据的临床意义方法,268 篇出版物中有 538 个 miRNA 报告在临床领域,而 5 篇出版物中有 7 个 miRNA 报告在临床和药物领域。对于基于数据的人类儿科细胞系模型方法,1268 篇出版物中有 538 个 miRNA 报告在细胞系领域,而 177 篇出版物中有 211 个 miRNA 报告在细胞系和药物领域。M3Cs 通过应用转化生物信息学的一般途径来填补空白,将数据驱动的研究转化为数据驱动的临床护理和/或假说生成。M3Cs 的聚合和精心整理的数据将使医疗保健利益相关者能够将 miRNA 纳入临床政策。数据库 URL:https://m3cs.shinyapps.io/M3Cs/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/e6c56711caaa/baac013f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/c25084b37b18/baac013f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/1ca1256d8be1/baac013f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/af6f010aaa1c/baac013f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/e6c56711caaa/baac013f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/c25084b37b18/baac013f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/1ca1256d8be1/baac013f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/af6f010aaa1c/baac013f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9972/9216566/e6c56711caaa/baac013f4.jpg

相似文献

1
MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer.微小 RNA 儿童癌症目录 (M3Cs):儿科癌症转化生物信息学向健康信息学的资源。
Database (Oxford). 2022 Mar 18;2022. doi: 10.1093/database/baac013.
2
emiRIT: a text-mining-based resource for microRNA information.emiRIT:一个基于文本挖掘的 miRNA 信息资源。
Database (Oxford). 2021 May 28;2021. doi: 10.1093/database/baab031.
3
Translational Bioinformatics and Clinical Research (Biomedical) Informatics.转化生物信息学与临床研究(生物医学)信息学
Surg Pathol Clin. 2015 Jun;8(2):269-88. doi: 10.1016/j.path.2015.02.015. Epub 2015 Mar 31.
4
mirPub: a database for searching microRNA publications.mirPub:一个用于搜索微小RNA出版物的数据库。
Bioinformatics. 2015 May 1;31(9):1502-4. doi: 10.1093/bioinformatics/btu819. Epub 2014 Dec 20.
5
Quantum Language of MicroRNA: Application for New Cancer Therapeutic Targets.微小RNA的量子语言:在新型癌症治疗靶点中的应用
Methods Mol Biol. 2018;1733:145-157. doi: 10.1007/978-1-4939-7601-0_12.
6
MiRNA-BD: an evidence-based bioinformatics model and software tool for microRNA biomarker discovery.miRNA 结合数据库:一种基于证据的生物信息学模型和软件工具,用于发现 microRNA 生物标志物。
RNA Biol. 2018;15(8):1093-1105. doi: 10.1080/15476286.2018.1502590. Epub 2018 Sep 17.
7
An updated overview and classification of bioinformatics tools for MicroRNA analysis, which one to choose?用于微小RNA分析的生物信息学工具的最新概述与分类:该如何选择?
Comput Biol Med. 2021 Jul;134:104544. doi: 10.1016/j.compbiomed.2021.104544. Epub 2021 Jun 3.
8
miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases.miRiaD:一种用于检测微小RNA与疾病关联的文本挖掘工具。
J Biomed Semantics. 2016 Apr 29;7(1):9. doi: 10.1186/s13326-015-0044-y.
9
MirCure: a tool for quality control, filter and curation of microRNAs of animals and plants.MirCure:动植物 microRNA 质量控制、筛选和管理工具。
Bioinformatics. 2020 Dec 30;36(Suppl_2):i618-i624. doi: 10.1093/bioinformatics/btaa889.
10
Web-based tools for miRNA studies analysis.用于miRNA研究分析的基于网络的工具。
Comput Biol Med. 2020 Dec;127:104060. doi: 10.1016/j.compbiomed.2020.104060. Epub 2020 Oct 16.

引用本文的文献

1
Role of epigenetics in paediatric cancer pathogenesis & drug resistance.表观遗传学在儿童癌症发病机制及耐药性中的作用。
Br J Cancer. 2025 May;132(9):757-769. doi: 10.1038/s41416-025-02961-2. Epub 2025 Mar 7.

本文引用的文献

1
PubChem in 2021: new data content and improved web interfaces.PubChem 在 2021 年:新增数据内容和改进的网络界面。
Nucleic Acids Res. 2021 Jan 8;49(D1):D1388-D1395. doi: 10.1093/nar/gkaa971.
2
Web-based tools for miRNA studies analysis.用于miRNA研究分析的基于网络的工具。
Comput Biol Med. 2020 Dec;127:104060. doi: 10.1016/j.compbiomed.2020.104060. Epub 2020 Oct 16.
3
Childhood cancer: Estimating regional and global incidence.儿童癌症:估计区域和全球发病率。
Cancer Epidemiol. 2021 Apr;71(Pt B):101662. doi: 10.1016/j.canep.2019.101662. Epub 2020 Jan 8.
4
MicroRNA as a prognostic biomarker for survival in childhood acute lymphoblastic leukemia: a systematic review.miRNA 作为儿童急性淋巴细胞白血病生存的预后生物标志物:系统综述。
Cancer Metastasis Rev. 2019 Dec;38(4):771-782. doi: 10.1007/s10555-019-09826-0.
5
Non-Coding RNAs in Pediatric Solid Tumors.小儿实体瘤中的非编码RNA
Front Genet. 2019 Sep 20;10:798. doi: 10.3389/fgene.2019.00798. eCollection 2019.
6
miRBase: from microRNA sequences to function.miRBase:从 microRNA 序列到功能。
Nucleic Acids Res. 2019 Jan 8;47(D1):D155-D162. doi: 10.1093/nar/gky1141.
7
MiRNA Dysregulation in Childhood Hematological Cancer.miRNA 在儿童血液系统肿瘤中的失调
Int J Mol Sci. 2018 Sep 10;19(9):2688. doi: 10.3390/ijms19092688.
8
Best Match: New relevance search for PubMed.最佳匹配:PubMed 的新相关性搜索。
PLoS Biol. 2018 Aug 28;16(8):e2005343. doi: 10.1371/journal.pbio.2005343. eCollection 2018 Aug.
9
The Cellosaurus, a Cell-Line Knowledge Resource.细胞osaurus,一个细胞系知识资源库。
J Biomol Tech. 2018 Jul;29(2):25-38. doi: 10.7171/jbt.18-2902-002. Epub 2018 May 10.
10
A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog.用于基因组学研究中祖先数据表示的标准化框架,及其在 NHGRI-EBI GWAS 目录中的应用。
Genome Biol. 2018 Feb 15;19(1):21. doi: 10.1186/s13059-018-1396-2.