MALDI imaging mass spectrometry of Pacific White Shrimp L. vannamei and identification of abdominal muscle proteins

MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies

The ability to target discrete features within tissue using liquid surface extractions enables the identification of proteins while maintaining the spatial integrity of the sample. Here, we present a liquid extraction surface analysis (LESA) workflow, termed microLESA, that allows proteomic profiling from discrete tissue features of ∼110 μm in diameter by integrating nondestructive autofluorescence microscopy and spatially targeted liquid droplet micro-digestion. Autofluorescence microscopy provides the visualization of tissue foci without the need for chemical stains or the use of serial tissue sections. Tryptic peptides are generated from tissue foci by applying small volume droplets (∼250 pL) of enzyme onto the surface prior to LESA. The microLESA workflow reduced the diameter of the sampled area almost 5-fold compared to previous LESA approaches. Experimental parameters, such as tissue thickness, trypsin concentration, and enzyme incubation duration, were tested to maximize proteomics analysis. The microLESA workflow was applied to the study of fluorescently labeled Staphylococcus aureus infected murine kidney to identify unique proteins related to host defense and bacterial pathogenesis. Proteins related to nutritional immunity and host immune response were identified by performing microLESA at the infectious foci and surrounding abscess. These identifications were then used to annotate specific proteins observed in infected kidney tissue by MALDI FT-ICR IMS through accurate mass matching.

Protein identification strategies in MALDI imaging mass spectrometry: a brief review

Matrix assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a powerful technology used to investigate the spatial distributions of thousands of molecules throughout a tissue section from a single experiment. As proteins represent an important group of functional molecules in tissue and cells, the imaging of proteins has been an important point of focus in the development of IMS technologies and methods. Protein identification is crucial for the biological contextualization of molecular imaging data. However, gas-phase fragmentation efficiency of MALDI generated proteins presents significant challenges, making protein identification directly from tissue difficult. This review highlights methods and technologies specifically related to protein identification that have been developed to overcome these challenges in MALDI IMS experiments.

Proteomic profiling of the white shrimp Litopenaeus vannamei (Boone, 1931) hemocytes infected with white spot syndrome virus reveals the induction of allergy-related proteins

To elucidate the proteomic responses of shrimp hemocytes to white spot syndrome virus (WSSV) infection at the proteome level, a quantitative shotgun proteomic analysis was performed to detect differentially synthesized proteins in infected hemocytes of white shrimp (Litopenaeus vannamei). We identified 1528 proteins associated to 203 gene ontology (GO) categories. The most representative GO categories were regulation of cellular processes, organic substance metabolic processes and nitrogen compound metabolic processes. Most of the 83 detected up-regulated proteins are involved in DNA regulation and organization and cell signaling. In contrast, most of the 40 down-regulated proteins were related to immune defense processes, protein folding, and development. Differentially induced proteins were further analyzed at the transcript level by RT-qPCR to validate the results. This work provides new insights into the alterations of L. vannamei hemocytes at the protein level at 12 h post-infection with WSSV. Interestingly, several of the up-regulated proteins are allergy-related proteins in humans. Based on our results, we suggest a deeper analysis of the effects of this interaction on the regulation of allergy related-proteins as their up-regulation during WSSV could represent a threat to human health.

Combined MALDI Mass Spectrometry Imaging and Parafilm-Assisted Microdissection-Based LC-MS/MS Workflows in the Study of the Brain

Proteins and other biomolecules such as lipids are significant players in the central nervous system and are implicated in various neurological disorders. Their identification, quantification, and distribution are thus important not only in understanding the disease but also in developing treatments. A combined workflow allowing the localized microextraction of discrete regions identified by a matrix-assisted laser desorption/ionization mass spectrometry (MSI) imaging experiment for proteomics analysis by liquid chromatography/tandem mass spectrometry (LC MS/MS) is described in this chapter. MSI was initially used to map lipid distributions allowing for the identification of regions of interest (ROIs) that are then subjected to microextraction in a consecutive tissue section. Mounting of consecutive tissue on parafilm allows microdissection of the ROIs, where proteins can then be recovered for processing and LC MS/MS analysis. The PAM method provides a fast and cheap means to perform further downstream analysis after an MSI experiment.

Progress and Potential of Imaging Mass Spectrometry Applied to Biomarker Discovery

Mapping provides a direct means to assess the impact of protein biomarkers and puts into context their relevance in the type of cancer being examined. To this end, mass spectrometry imaging (MSI) was developed to provide the needed spatial information which is missing in traditional liquid-based mass spectrometric proteomics approaches. Aptly described as a "molecular histology" technique, MSI gives an additional dimension in characterizing tumor biopsies, allowing for mapping of hundreds of molecules in a single analysis. A decade of developments focused on improving and standardizing MSI so that the technique can be translated into the clinical setting. This review describes the progress made in addressing the technological development that allows to bridge local protein detection by MSI to its identification and to illustrate its potential in studying various aspects of cancer biomarker discovery.