| 项目编号 |
PRJCA028507 |
| 项目标题 |
LipidIN: a comprehensive repository for flash platform-independent annotation and reverse lipidomics |
| 涉及领域 |
Medical |
| 数据类型 |
lipidomics
|
| 物种名称 |
Homo sapiens
|
| 描述信息 |
Improving annotation accuracy, coverage, speed and depth of lipid profiles remains a significant challenge in traditional lipid annotation. We introduce LipidIN, an advanced framework designed for flash platform-independent annotation. LipidIN features a 166.3-million lipid fragmentation hierarchical library that encompasses all potential chain compositions and carbon-carbon double bond locations. Developed an expeditious querying module speeds to over 100 billion times querying in 1 second for all mass spectral libraries. Furthermore, we leverage three relative retention time rules to develop lipid categories intelligence model for reducing false positive annotations and predicting unannotated lipids with a 5.7% estimated false discovery rate covering 8923 lipids cross various species. More importantly, LipidIN integrates a Wide-spectrum Modeling Yield network for regenerating lipid fragment fingerprints to further improve coverage and accuracy with a 20% estimated recall boosting. We further demonstrated the utility of LipidIN in multiple tasks for lipid annotation and biomarker discovery in clinical cohorts. |
| 样品范围 |
clinical cohorts |
| 发布日期 |
2024-07-25 |
| 出版信息 |
| PubMed ID |
文章标题 |
杂志名称 |
Doi |
发表年份 |
| 40379655
|
LipidIN: a comprehensive repository for flash platform-independent annotation and reverse lipidomics
|
Nature Communications
|
10.1038/s41467-025-59683-5
|
2025
|
|
| 项目资金来源 |
| 机构 |
项目类型 |
授权项目ID |
授权项目名称 |
| National Natural Science Foundation of China (NSFC)
|
Major Research Plan
|
91957120
|
Based on spatial metabolomics, the metabolic mode of aldose reductase in promoting the occurrence and development of liver cancer was investigated
|
| National Natural Science Foundation of China (NSFC)
|
General Program
|
21974114
|
Mass spectrometry-based immunometabolic landscape analysis of lung metastases in breast cancer
|
|
| 提交者 |
Shuhai
Lin (shuhai@xmu.edu.cn)
|
| 提交单位 |
Xiamen University |
| 提交日期 |
2024-07-25 |