Speaker: Yu Tian, PhD, Director, Omics Technology, Drug Metabolism and Pharmacokinetics, AbbVie Bioresearch Center
When:Time: June 15, 2022
Many fibrotic and inflammatory diseases such as idiopathic pulmonary fibrosis (IPF) and hidradenitis suppurativa (HS) are pathologically and spatially heterogeneous, posing challenges for traditional bulk analysis approaches that fail to capture spatial information. Laser capture microdissection (LCM) is a powerful technology for spatial omics analysis, which allows histopathology-guided sample area selection to achieve fine spatial resolution and enable specific and strong association of biology data with pathology results. However, it is still challenging to conduct downstream omics analysis due to the limited quantity of tissue material after high-resolution LCM area selection.
In this webinar, we will introduce an LCM proteomics workflow that has been established and optimized, including FFPE (formalin-fixed, paraffin-embedded) tissue sectioning, tissue harvesting by LCM, StageTip-assisted proteomics sample handling and preparation, LC/MS instrument settings, and proteomics database search strategy. The technical pilot study was conducted using human IPF lung and HS patient skin LCM samples with pathological features. Multiple differential expression analysis was performed between LCM regions, with a panel of extracellular matrix (ECM) related targets identified with a relationship to fibrosis mechanism.
Key Learning Objectives:
- Compare performance of state-of-art LCM sample preparation procedures
- Optimize LCM-based spatial proteomics workflow
- Know the promising applications of the developed spatial proteomics workflow on fibrosis-related disease understanding
Who Should Attend:
- Method developers for spatial proteomics in pharmaceutical, chemical, clinical, contract research organization, university, and governmental laboratories.
- Method developers analyzing quantity-limited samples
- Biologists for fibrosis-related disease investigation