Author(s)

  • Laurine Munier (Presenting Author) | Proteom'IC facility, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Maryline Favier | HistIM, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Fabiola Ely-Marius | HistIM, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Johanna Bruce | Proteom'IC facility, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Soumia Hamada | Proteom'IC facility, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Emilie-Fleur Gautier | Proteom'IC facility, Institut Cochin | 22 rue méchain, 75014, Paris, France
  • Pierre Sohier | Department of Pathology, AP-HP, APHP-CUP, Hôpital Cochin, | 22 rue Méchain, 75014, Paris, France
  • Cedric Broussard | Proteom'IC facility, Institut Cochin | 22 rue Méchain, 75014, Paris, France

Abstract

Proteomic analysis by mass spectrometry (MS) applied to Formalin-Fixed Paraffin-Embedded (FFPE) tissue requires precise selection of regions of interest to yield relevant data. Laser capture microdissection (LCM) is an effective approach to isolate specific cells and structures from tissue sections. However, sample preparation steps prior to LCM, specifically staining techniques, can markedly affect the quality and the quantity of proteins detected. In this study, we evaluated and compared the compatibility of different commonly used staining methods (Hematoxylin, DAB immunohistochemistry) and immuno-fluorescence methods (DAPI) with proteomic analysis by MS.

Mouse spleen sections 8µm thickness were used. Tissue surfaces of 5mm² were microdissected with the Arcturus XT. After deparaffinization and decrosslinking steps, we performed S-Trap digestion followed by timsTOF HT DIApasef MS analysis. Identification and quantification of proteins using DIANN software and comparative statistical analysis with unstained controls will determine whether the stains interact with proteins and distort the accuracy of proteomic analysis. We investigated the influence of stains on protein integrity, extraction efficiency and MS detection sensitivity after LCR. The results obtained will facilitate the selection of the most appropriate technique, ensuring an optimal balance between precise cell selection and proteomic analysis, tailored to the specific requirements of projects.