Dataset Information

A Novel Cell Fixation Method that Greatly Enhances Protein Identification in Microproteomic Studies Using Laser Capture Microdissection and Mass Spectrometry.

ABSTRACT: Microproteomic studies have improved our knowledge of cell biology. Yet, with mass spectrometry (MS) analysis, accuracy can be lost for protein identification and quantification when using heterogeneous samples. Laser capture microdissection (LCM) allows for the enrichment of specific subsets of cells to study their proteome; however, sample fixation is necessary. Unfortunately, fixation hampers MS results due to protein cross-linking. The aim of this study was to identify both a fixation protocol and an extraction method that returns the best yield of proteins for downstream MS analysis, while preserving cellular structures. We compared glutaraldehyde (GLU), a common fixative to preserve cells, to dithiobispropionimidate (DTBP), a cleavable cross-linker. Our DTBP fixation/extraction protocol greatly increased the protein recovery. In fact, while 1000 GLU fixed cells returned only 159 unique protein hits, from 1464 unique peptides of 1994 unique collected spectra, 1000 DTBP fixed cells resulted in 567 unique collected protein hits, from 7542 unique peptides, of 10,401 unique collected spectra. That is, a 3.57-fold increase in protein hits, 5.15-fold increase in unique peptides, and a 5.22-fold increase in unique collected spectra. Overall, the novel protocol introduced here allows for a very efficient protein recovery and good sample quality for MS after sample collection using LCM.

SUBMITTER: Gordon A

PROVIDER: S-EPMC6743321 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A Novel Cell Fixation Method that Greatly Enhances Protein Identification in Microproteomic Studies Using Laser Capture Microdissection and Mass Spectrometry.

Gordon Ana A Kannan Shravan Kumar SK Gousset Karine K

Proteomics 20180416 11

Microproteomic studies have improved our knowledge of cell biology. Yet, with mass spectrometry (MS) analysis, accuracy can be lost for protein identification and quantification when using heterogeneous samples. Laser capture microdissection (LCM) allows for the enrichment of specific subsets of cells to study their proteome; however, sample fixation is necessary. Unfortunately, fixation hampers MS results due to protein cross-linking. The aim of this study was to identify both a fixation protoc ...[more]

PMID: 29579344

Similar Datasets

Project description:Background:Haematoxylin and eosin (H&E)-which respectively stain nuclei blue and other cellular and stromal material pink-are routinely used for clinical diagnosis based on the identification of morphological features. A richer characterization can be achieved by laser capture microdissection coupled to mass spectrometry (LCM-MS), giving an unbiased assay of the proteins that make up the tissue. However, the process of fixing and H&E staining of tissues provides challenges with standard sample preparation methods for mass spectrometry, resulting in low protein yield. Here we describe a microproteomics technique to analyse H&E-stained, formalin-fixed paraffin-embedded (FFPE) tissues. Methods:Herein, we utilize heat extraction, physical disruption, and in column digestion for the analysis of H&E stained FFPE tissues. Micro-dissected morphologically normal human lung alveoli (0.082 mm3) and human lung blood vessels (0.094 mm3) from FFPE-fixed H&E-stained sections from Idiopathic Pulmonary Fibrosis (IPF) specimens (n?=?3 IPF specimens) were then subject to a qualitative and then quantitative proteomics approach using BayesENproteomics. In addition, we tested the sensitivity of this method by processing and analysing a range of micro-dissected human lung blood vessel tissue volumes. Results:This approach yields 1252 uniquely expressed proteins (at a protein identification threshold of 3 unique peptides) with 892 differentially expressed proteins between these regions. In accord with prior knowledge, our methodology approach confirms that human lung blood vessels are enriched with smoothelin, CNN1, ITGA7, MYH11, TAGLN, and PTGIS; whereas morphologically normal human lung alveoli are enriched with cytokeratin-7, -8, -18, -19, 14, and -17. In addition, we identify a total of 137 extracellular matrix (ECM) proteins and immunohistologically validate that laminin subunit beta-1 localizes to morphologically normal human lung alveoli and tenascin localizes to human lung blood vessels. Lastly, we show that this micro-proteomics technique can be applied to tissue volumes as low as 0.0125 mm3. Conclusion:Herein we show that our multistep sample preparation methodology of LCM-MS can identify distinct, characteristic proteomic compositions of anatomical features within complex fixed and stained tissues.

Project description:BackgroundThere are no reports of proteomic analyses of inflamed islets in type 1 diabetes.ProceduresProteins expressed in the islets of enterovirus-associated fulminant type 1 diabetes (FT1DM) with extensive insulitis were identified by laser-capture microdissection mass spectrometry using formalin-fixed paraffin-embedded pancreatic tissues.ResultsThirty-eight proteins were identified solely in FT1DM islets, most of which have not been previously linked to type 1 diabetes. Five protein-protein interacting clusters were identified, and the cellular localization of selected proteins was validated immunohistochemically. Migratory activity-related proteins, including plastin-2 (LCP1), moesin (MSN), lamin-B1 (LMNB1), Ras GTPase-activating-like protein (IQGAP1) and others, were identified in CD8+ T cells and CD68+ macrophages infiltrated to inflamed FT1DM islets. Proteins involved in successive signaling in innate/adaptive immunity were identified, including SAM domain and HD domain-containing protein 1 (SAMHD1), Ras GTPase-activating-like protein (IQGAP1), proteasome activator complex subunit 1 (PSME1), HLA class I histocompatibility antigen (HLA-C), and signal transducer and activator of transcription 1-alpha/beta (STAT1). Angiogenic (thymidine phosphorylase (TYMP)) and anti-angiogenic (tryptophan-tRNA ligase (WARS)) factors were identified in migrating CD8+ T cells and CD68+ macrophages. Proteins related to virus replication and cell proliferation, including probable ATP-dependent RNA helicase DEAD box helicase 5 (DDX5) and heterogeneous nuclear ribonucleoprotein H (HNRNPH1), were identified. The anti-apoptotic protein T-complex protein 1 subunit epsilon (CCT5), the anti-oxidative enzyme 6-phosphogluconate dehydrogenase (PDG), and the anti-viral and anti-apoptotic proteins serpin B6 (SERPINB6) and heat shock 70 kDa protein1-like (HSPA1L), were identified in FT1DM-affected islet cells.ConclusionThe identified FT1DM-characterizing proteins include those involved in aggressive beta cell destruction through massive immune cell migration and proteins involved in angiogenesis and islet vasculature bleeding, cell repair, and anti-inflammatory processes. Several target proteins for future type 1 diabetes interventions were identified.

Dataset Information

A Novel Cell Fixation Method that Greatly Enhances Protein Identification in Microproteomic Studies Using Laser Capture Microdissection and Mass Spectrometry.

Publications

A Novel Cell Fixation Method that Greatly Enhances Protein Identification in Microproteomic Studies Using Laser Capture Microdissection and Mass Spectrometry.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets