代谢组学海报集锦

代谢组学与脂质组学

代谢组学研究领域旨在对细胞、组织甚至整个生物体中存在的所有小分子进行全面的定性和定量分析。化合物在内在或外在触发因素的作用下均会发生变化,所以代谢组学研究有助于更全面地了解疾病发生和发展等情况。

 

脂质组学涵盖所有亲脂性化合物,可视为代谢组的一个子集。许多脂质在细胞通讯等方面发挥着重要作用,并与代谢性疾病有关。尽管脂质的结构多种多样,但物理特性却十分相似,与传统的代谢组学方法不同,脂质组学需要专门的解决方案。布鲁克特有的 MetaboScape® 软件支持代谢组学及脂质组学工作流程,利用捕集型离子淌度技术( TIMS ) 提供额外的分离维度提高注释的置信度。

 

本海报集锦集中展示了利用布鲁克技术进行的一系列独特研究、例如展示了 CCS 值和 PASEF 采集模式的优势。感谢所有贡献自己研究成果的研究人员。

 

我们希望在阅读海报的过程中,能够对您的研究工作有所启发。

代谢组学和脂质组学相关海报

4D-代谢组学

Poster IMSC 2022: Applying Trapped Ion Mobility Spectrometry (TIMS) for Vitamin D Epimer Differentiation

Poster IMSC 2022: Enhanced 4D workflows using TIMS for advancing small molecule research

Poster IMSC 2022: CCS-enabled timsTOF Pro PASEF® workflow for in vitro human liver microsome drug metabolites profiling and characterization

Poster IMSC 2022: High resolution ion mobility timsTOF Pro for the fast separation and characterization of isomeric bile acids

Poster IMSC 2022: A Non-targeted 4D-Metabolomics™ Workflow for Quality Control of Chiral Heparin Disaccharide by LC-timsTOF and MetaboScape®

Poster 2021: CCS Predict Pro

Poster 2021: MetaboScape® 2022 for core labs

Poster 2020: 4-dimensional annotation of Metabolomics features: CCS values as an additional source for higher confidence 

Poster 2020: Untargeted UHLC-HR-QTOF-MS metabolomics study to unravel metabolites contrlling wood formation in aspen trees 

Poster 2020: Integrating MetaboScape® and PollyTM for the analysis of LC-TIMS-MS and LC-MS based fluxomics 

Poster 2020: Inlet Probe Coupled to Trapped Ion Mobility Time-of-Flight Mass Spectrometry

Poster 2019: Integrating 4D peak picking of LC-TIMS-MS/MS data into GNPS feature based molecular networking for metabolomics and lipidomics analysis 

Poster 2019: Integrated workflow with quality control for large cohort and clinical metabolomics research using robust hardware and signal correction 

Poster 2019: Development of a Collision Cross Section Library using Trapped Ion Mobility Spectrometry (TIMS) and Its Use in Plant Metabolomics 

Poster 2019: Enabling Rapid and High-confidence Metabolite Identification using HILIC-QTOF based MS/MS-RT library 

Poster 2019: Integration of metabolomic and lipidomic workflows for studying biological samples

 

仅供研究使用。不适用于临床诊断程序。