• 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

提高多组学分析可靠性的参考材料。

Reference Materials for Improving Reliability of Multiomics Profiling.

作者信息

Ren Luyao, Shi Leming, Zheng Yuanting

机构信息

State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200438 China.

Shanghai Cancer Center, Fudan University, Shanghai, 200032 China.

出版信息

Phenomics. 2024 Mar 6;4(5):487-521. doi: 10.1007/s43657-023-00153-7. eCollection 2024 Oct.

DOI:10.1007/s43657-023-00153-7
PMID:39723231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11666855/
Abstract

High-throughput technologies for multiomics or molecular phenomics profiling have been extensively adopted in biomedical research and clinical applications, offering a more comprehensive understanding of biological processes and diseases. Omics reference materials play a pivotal role in ensuring the accuracy, reliability, and comparability of laboratory measurements and analyses. However, the current application of omics reference materials has revealed several issues, including inappropriate selection and underutilization, leading to inconsistencies across laboratories. This review aims to address these concerns by emphasizing the importance of well-characterized reference materials at each level of omics, encompassing (epi-)genomics, transcriptomics, proteomics, and metabolomics. By summarizing their characteristics, advantages, and limitations along with appropriate performance metrics pertinent to study purposes, we provide an overview of how omics reference materials can enhance data quality and data integration, thus fostering robust scientific investigations with omics technologies.

摘要

用于多组学或分子表型组学分析的高通量技术已在生物医学研究和临床应用中广泛采用,能更全面地了解生物过程和疾病。组学参考物质在确保实验室测量和分析的准确性、可靠性及可比性方面发挥着关键作用。然而,目前组学参考物质的应用已暴露出几个问题,包括选择不当和利用不足,导致各实验室结果不一致。本综述旨在通过强调在组学各层面(包括(表观)基因组学、转录组学、蛋白质组学和代谢组学)具有充分特征的参考物质的重要性来解决这些问题。通过总结它们的特征、优势和局限性以及与研究目的相关的适当性能指标,我们概述了组学参考物质如何提高数据质量和数据整合,从而促进使用组学技术进行可靠的科学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/2fb87d4fec2a/43657_2023_153_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/4a0083a3bede/43657_2023_153_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/ba6e97a11443/43657_2023_153_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/fcb90adcbbbe/43657_2023_153_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/2fb87d4fec2a/43657_2023_153_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/4a0083a3bede/43657_2023_153_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/ba6e97a11443/43657_2023_153_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/fcb90adcbbbe/43657_2023_153_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff14/11666855/2fb87d4fec2a/43657_2023_153_Fig4_HTML.jpg

相似文献

1
Reference Materials for Improving Reliability of Multiomics Profiling.提高多组学分析可靠性的参考材料。
Phenomics. 2024 Mar 6;4(5):487-521. doi: 10.1007/s43657-023-00153-7. eCollection 2024 Oct.
2
"Omics" in pharmaceutical research: overview, applications, challenges, and future perspectives.制药研究中的“组学”:概述、应用、挑战及未来展望。
Chin J Nat Med. 2015 Jan;13(1):3-21. doi: 10.1016/S1875-5364(15)60002-4.
3
Pan-Omics in Sheep: Unveiling Genetic Landscapes.绵羊中的泛组学:揭示遗传图谱。
Animals (Basel). 2024 Jan 15;14(2):273. doi: 10.3390/ani14020273.
4
Reliable biological and multi-omics research through biometrology.通过生物计量学实现可靠的生物学和多组学研究。
Anal Bioanal Chem. 2024 Jul;416(16):3645-3663. doi: 10.1007/s00216-024-05239-3. Epub 2024 Mar 20.
5
Multiomics technologies: role in disease biomarker discoveries and therapeutics.多组学技术:在疾病生物标志物发现和治疗中的作用。
Brief Funct Genomics. 2023 Apr 13;22(2):76-96. doi: 10.1093/bfgp/elac017.
6
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.避免组学数据整合分析陷阱的 10 个快速技巧。
PLoS Comput Biol. 2023 Jul 6;19(7):e1011224. doi: 10.1371/journal.pcbi.1011224. eCollection 2023 Jul.
7
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.多组学数据整合的机器学习技术综合综述:精准肿瘤学中的挑战与应用
Brief Funct Genomics. 2024 Sep 27;23(5):549-560. doi: 10.1093/bfgp/elae013.
8
Multiomics insights into the female reproductive aging.多组学视角下的女性生殖衰老研究
Ageing Res Rev. 2024 Mar;95:102245. doi: 10.1016/j.arr.2024.102245. Epub 2024 Feb 23.
9
Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials.基于 quartet 参考物质的比率定量分析进行多组学数据整合。
Nat Biotechnol. 2024 Jul;42(7):1133-1149. doi: 10.1038/s41587-023-01934-1. Epub 2023 Sep 7.
10
Single-cell multi-omics sequencing and its application in tumor heterogeneity.单细胞多组学测序及其在肿瘤异质性中的应用。
Brief Funct Genomics. 2023 Jul 17;22(4):313-328. doi: 10.1093/bfgp/elad009.

引用本文的文献

1
Prioritization of Lipid Metabolism Targets for the Diagnosis and Treatment of Cardiovascular Diseases.心血管疾病诊断与治疗中脂质代谢靶点的优先级确定
Research (Wash D C). 2025 Feb 19;8:0618. doi: 10.34133/research.0618. eCollection 2025.
2
Construction of RNA reference materials for improving the quantification of transcriptomic data.构建用于改进转录组数据定量的RNA参考物质。
Nat Protoc. 2025 Feb 18. doi: 10.1038/s41596-024-01111-x.
3
Multi-step gene set analysis identified HTR3 family genes involving childhood acute lymphoblastic leukemia susceptibility.

本文引用的文献

1
Undisclosed, unmet and neglected challenges in multi-omics studies.多组学研究中未公开、未满足且被忽视的挑战。
Nat Comput Sci. 2021 Jun;1(6):395-402. doi: 10.1038/s43588-021-00086-z. Epub 2021 Jun 21.
2
Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet.单体型解析组装与中国四重奏个体的变异基准
Genome Biol. 2023 Dec 4;24(1):277. doi: 10.1186/s13059-023-03116-3.
3
Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance. Quartet DNA 参考资料和数据集,用于全面评估种系变异calling 性能。
多步骤基因集分析确定了与儿童急性淋巴细胞白血病易感性相关的HTR3家族基因。
Arch Toxicol. 2025 Jan;99(1):299-307. doi: 10.1007/s00204-024-03881-5. Epub 2024 Sep 25.
Genome Biol. 2023 Nov 27;24(1):270. doi: 10.1186/s13059-023-03109-2.
4
Integrated vector genomes may contribute to long-term expression in primate liver after AAV administration.整合的载体基因组可能有助于 AAV 给药后在灵长类动物肝脏中的长期表达。
Nat Biotechnol. 2024 Aug;42(8):1232-1242. doi: 10.1038/s41587-023-01974-7. Epub 2023 Nov 6.
5
The Quartet Data Portal: integration of community-wide resources for multiomics quality control. Quartet 数据门户:整合社区范围内的资源,进行多组学质量控制。
Genome Biol. 2023 Oct 26;24(1):245. doi: 10.1186/s13059-023-03091-9.
6
Large-scale plasma proteomics comparisons through genetics and disease associations.通过遗传学和疾病关联进行大规模血浆蛋白质组学比较。
Nature. 2023 Oct;622(7982):348-358. doi: 10.1038/s41586-023-06563-x. Epub 2023 Oct 4.
7
Plasma proteomic associations with genetics and health in the UK Biobank.英国生物库中血浆蛋白质组与遗传学和健康的关联。
Nature. 2023 Oct;622(7982):329-338. doi: 10.1038/s41586-023-06592-6. Epub 2023 Oct 4.
8
Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials.基于 quartet 参考物质的比率定量分析进行多组学数据整合。
Nat Biotechnol. 2024 Jul;42(7):1133-1149. doi: 10.1038/s41587-023-01934-1. Epub 2023 Sep 7.
9
Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics.用于无标记蛋白质组学多平台评估的四重蛋白参考材料和数据集。
Genome Biol. 2023 Sep 7;24(1):202. doi: 10.1186/s13059-023-03048-y.
10
Proteomic Portrait of Human Lymphoma Reveals Protein Molecular Fingerprint of Disease Specific Subtypes and Progression.人类淋巴瘤的蛋白质组图谱揭示了疾病特定亚型和进展的蛋白质分子指纹。
Phenomics. 2022 Dec 12;3(2):148-166. doi: 10.1007/s43657-022-00075-w. eCollection 2023 Apr.