Matrix-assisted Laser Desorption/ionization Matrix Research Articles

Membrane-based preparation for mass spectrometry imaging of cultures of bacteria.

The study of the dialogue between microorganisms at the molecular level is becoming essential to understand their relationship (antagonist, neutral, or beneficial interactions) and its impact on the organization of the microbial community. Mass spectrometry imaging (MSI) with matrix-assisted laser desorption/ionization (MALDI) is a technique that reveals the spatial distribution of molecules on a sample surface that may be involved in interactions between organisms. An experimental limitation to perform MALDI MSI is a flat sample surface, which in many cases could not be achieved for bacterial colonies such as filamentous bacteria (e.g., Streptomyces). In addition, sample heterogeneity affects sample dryness and MALDI matrix deposition prior to MSI. To avoid such problems, we introduce an additional step in the sample preparation. A polymeric membrane is interposed between the microorganisms and the agar-based culture medium, allowing the removal of bacterial colonies prior to MSI of the homogeneous culture medium. A proof of concept was evaluated on Streptomyces ambofaciens (a soil bacterium) cultures on solid media. As the mycelium was removed at the same time as the polymeric membrane, the metabolites released into the medium were spatially resolved by MALDI MSI. In addition, extraction of the recovered mycelium from the membrane confirmed the identification of the metabolites by ESI MS/MS analysis. This approach allows both the spatial distribution of metabolites produced by microorganisms in an agar medium to be studied under well-controlled sample preparation and their structure to be elucidated. This capability is illustrated using desferrioxamine E, a siderophore produced by S. ambofaciens.

Assessing the matrix effects on MALDI-MS in the positive and negative ion mode detection for protein-protected metal nanoclusters

Protein-protected metal nanoclusters (MNCs) represent a new class of highly photoluminescent nanomaterials that have wide applications. Suitable reaction conditions combining protein and metal precursors can produce a vast range of different NC sizes (i.e. different number of metal atoms). The average number of metal atoms per protein can be determined by mass spectrometry (MS). MS coupled with matrix-assisted laser desorption ionization (MALDI) presents a number of advantages such as detection with high sensitivity of nanoclusters with high molecular weights. Although many protein-protected MNCs have been characterized by MALDI-MS, a large dispersion in the number of metal atoms has been reported mainly due to sample preparation. In this work, we optimized the protocols for negative and positive ion detection mode as a general MALDI-MS sample preparation method for protein-protected MNCs (bovine serum albumin and lysozyme and with gold and silver). Negative and positive ion mode detection was compared, showing that negative ion mode detection in MALDI-MS can also be used with acidic matrices. Obvious matrix effects on ion signals and peak positions by MALDI-MS were observed. The average metal numbers of MNCs embedded in proteins are different depending on the MALDI matrix. The matrix effects give a warning for more serious consideration on MALDI-MS measurement and spectra analysis of MNCs.

Deciphering feedback regulation of prostaglandin F2α in blood stasis syndrome using nitrogen-doped porous transition metal carbides.

Blood stasis syndrome (BSS) has persistent health risks; however, its pathogenesis remains elusive. This obscurity may result in missed opportunities for early intervention, increased susceptibility to chronic diseases, and reduced accuracy and efficacy of treatments. Metabolomics, employing the matrix-assisted laser desorption/ionization (MALDI) strategy, presents distinct advantages in biomarker discovery and unraveling molecular mechanisms. Nonetheless, the challenge is to develop efficient matrices for high-sensitivity and high-throughput analysis of diverse potential biomarkers in complex biosamples. This work utilized nitrogen-doped porous transition metal carbides and nitrides (NP-MXene) as a MALDI matrix to delve into the molecular mechanisms underlying BSS pathogenesis. Structural optimization yielded heightened peak sensitivity (by 1.49-fold) and increased peak numbers (by 1.16-fold) in clinical biosamples. Validation with animal models and clinical serum biosamples revealed significant differences in metabolic fingerprints between BSS and control groups, achieving an overall diagnostic efficacy of 0.905 (95% CI, 0.76-0.979). Prostaglandin F2α was identified as a potential biomarker (diagnostics efficiency of 0.711, specificity = 0.7, sensitivity = 0.6), and pathway enrichment analysis disclosed disruptions in arachidonic acid metabolism in BSS. This innovative approach not only advances comprehension of BSS pathogenesis, but also provides valuable insights for personalized treatment and diagnostic precision.

Formation of multiple ion types during MALDI imaging mass spectrometry analysis of Mitragyna speciosa alkaloids in dosed rat brain tissue

Mitragyna speciosa, more commonly known as kratom, has emerged as an alternative to treat chronic pain and addiction. However, the alkaloid components of kratom, which are the major contributors to kratom's pharmaceutical properties, have not yet been fully investigated. In this study, matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry was used to map the biodistribution of three alkaloids (corynantheidine, mitragynine, and speciogynine) in rat brain tissues. The alkaloids produced three main ion types during MALDI analysis: [M + H]+, [M − H]+, and [M − 3H]+. Contrary to previous reports suggesting that the [M − H]+ and [M − 3H]+ ion types form during laser ablation, these ion types can also be produced during the MALDI matrix application process. Several strategies are proposed to accurately map the biodistribution of the alkaloids. Due to differences in the relative abundances of the ions in different biological regions of the tissue, differences in ionization efficiencies of the ions, and potential overlap of the [M − H]+ and [M − 3H]+ ion types with endogenous metabolites of the same empirical formula, a matrix that mainly produces the [M + H]+ ion type is optimal for accurate mapping of the alkaloids. Alternatively, the most abundant ion type can be mapped or the intensities of all ion types can be summed together to generate a composite image. The accuracy of each of these approaches is explored and validated.

Matrix‐enhanced secondary ion mass spectrometry: Effects of aliphatic carboxylic acid matrices on the sensitivity enhancement of biological phospholipids

Matrix‐enhanced secondary ion mass spectrometry (ME‐SIMS) is an effective pre‐treatment method for the sensitivity enhancement of large molecules. Recently, matrix‐assisted laser desorption/ionization (MALDI) matrices, which consist of aromatic acids with benzene rings, have been developed using this technique. However, there are several differences in the desorption and ionization processes of SIMS and MALDI. In this study, the sensitivities of phospholipids mixed with aliphatic carboxylic acids were investigated using Bi‐cluster time‐of‐flight SIMS (TOF‐SIMS). Trans‐aconitic acid (tri‐carboxylic acid) and citric acid (hydroxycarboxylic acid) were used as the matrices. 2,5‐Dihydroxybenzoic acid (DHB), which is a typical aromatic MALDI matrix, was selected as the reference matrix. When trans‐aconitic acid and DHB were used as matrices, the secondary ion yields of [M + H]+ and [2 M + H]+ for phospholipids were approximately 10–150 times higher than that of the pristine lipid. For samples with citric acid, the yield enhancements of [M + H]+ and [2 M + H]+ were approximately 400–1000 times higher than those of pristine lipids. Furthermore, the protonated ionization of citric acid was mostly suppressed because of mixture with phospholipids. These results indicate that the matrix effect between phospholipids and the matrix contributes to the sensitivity enhancement of the target molecules. Hence, aliphatic carboxylic acid was equally or more effective than the MALDI matrix for the sensitivity enhancement of phospholipids in Bi‐cluster TOF‐SIMS.

A Caged In-Source Laser-Cleavable MALDI Matrix with High Vacuum Stability for Extended MALDI-MS Imaging.

Insufficient vacuum stability of matrix chemicals is a major limitation in matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) of large tissue sample cohorts. Here, we designed and synthesized the photo-cleavable caged molecule 4,5-dimethoxy-2-nitrobenzyl-2,5-dihydroxyacetophenone (DMNB-2,5-DHAP) and employed it for lipid MALDI-MSI of mouse brain tissue sections. DMNB-2,5-DHAP is vacuum-stable in a high vacuum MALDI ion source for at least 72 h. Investigation of the uncaging process suggested that the built-in laser (355 nm) in the MALDI ion source promoted the in situ generation of 2,5-DHAP. A caging group is used for the first time in designing a MALDI matrix that is vacuum-stable, uncaged upon laser irradiation during the measurement process, and that boosts lipid ion intensity with MALDI-2 laser-induced postionization.

A Caged In‐Source Laser‐Cleavable MALDI Matrix with High Vacuum Stability for Extended MALDI‐MS Imaging

AbstractInsufficient vacuum stability of matrix chemicals is a major limitation in matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) of large tissue sample cohorts. Here, we designed and synthesized the photo‐cleavable caged molecule 4,5‐dimethoxy‐2‐nitrobenzyl‐2,5‐dihydroxyacetophenone (DMNB‐2,5‐DHAP) and employed it for lipid MALDI‐MSI of mouse brain tissue sections. DMNB‐2,5‐DHAP is vacuum‐stable in a high vacuum MALDI ion source for at least 72 h. Investigation of the uncaging process suggested that the built‐in laser (355 nm) in the MALDI ion source promoted the in situ generation of 2,5‐DHAP. A caging group is used for the first time in designing a MALDI matrix that is vacuum‐stable, uncaged upon laser irradiation during the measurement process, and that boosts lipid ion intensity with MALDI‐2 laser‐induced postionization.

Comparing MS imaging of lipids by WALDI and MALDI: two technologies for evaluating a common ground truth in MS imaging.

In this study, we conducted a direct comparison of water-assisted laser desorption ionization (WALDI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging, with MALDI serving as the benchmark for label-free molecular tissue analysis in biomedical research. Specifically, we investigated the lipidomic profiles of several biological samples and calculated the similarity of detected peaks and Pearson's correlation of spectral profile intensities between the two techniques. We show that, overall, MALDI MS and WALDI MS present very close lipidomic analyses and that the highest similarity is obtained for the norharmane MALDI matrix. Indeed, for norharmane in negative ion mode, the lipidomic spectra revealed 100% similarity of detected peaks and over 0.90 intensity correlation between both technologies for five samples. The MALDI-MSI positive ion lipid spectra displayed more than 83% similarity of detected peaks compared to those of WALDI-MSI. However, we observed a lower percentage (77%) of detected peaks when comparing WALDI-MSI with MALDI-MSI due to the rich WALDI-MSI lipid spectra. Despite this difference, the global lipidomic spectra showed high consistency between the two technologies, indicating that they are governed by similar processes. Thanks to this similarity, we can increase datasets by including data from both modalities to either co-train classification models or obtain cross-interrogation.

Recent Advances in Single-Cell Metabolomics Based on Mass Spectrometry

Recent Advances in Single-Cell Metabolomics Based on Mass Spectrometry

Unraveling the drug distribution in brain enabled by MALDI MS imaging with laser-assisted chemical transfer

Accurate localization of central nervous system (CNS) drug distribution in the brain is quite challenging to matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), owing to the ionization competition/suppression of highly abundant endogenous biomolecules and MALDI matrix. Herein, we developed a highly efficient sample preparation technique, laser-assisted chemical transfer (LACT), to enhance the detection sensitivity of CNS drugs in brain tissues. A focused diode laser source transilluminated the tissue slide coated with α-cyano-4-hydroxycinnamic acid, an optimal matrix to highly absorb the laser radiation at 405 nm, and a very thin-layer chemical film mainly containing drug molecule was transferred to the acceptor glass slide. Subsequently, MALDI MSI was performed on the chemical film without additional sample treatment. One major advantage of LACT is to minimize ionization competition/suppression from the tissue itself by removing abundant endogenous lipid and protein components. The superior performance of LACT led to the successful visualization of regional distribution patterns of 16 CNS drugs in the mouse brain. Furthermore, the dynamic spatial changes of risperidone and its metabolite were visualized over a 24-h period. Also, the brain-to-plasma (B/P) ratio could be obtained according to MALDI MSI results, providing an alternative means to assess brain penetration in drug discovery.

Photon Harvesting Molecules: Ionization Potential from Quantum Chemical Calculations of Phytoplanktonic Pigments for MALDI-MS Analysis

The Ionization Potential (IP) of chemical species is of paramount importance for the Matrix Assisted Laser Desorption/Ionization (MALDI) analyticaltechnique. Specifically, IPs are used in MALDI MS Electron Transfer (ET) as a parameter to select the matrix for a given family of chemical species. We useda quantum chemical methodology to computationally determine IPs for a set of photosensible phytoplanktonic pigments. These calculations could be used as a guide for MALDI matrix selection. IPs were determined using Koopman’s Theorem, via Geometry Optimization and Single Point Energy within the Restricted Closed-Shell Hartree-Fock (RHF) technique. Structures of a twenty-four set of pigments were geometrically optimized, and their IPsdetermined. Calculated IP’s are in close agreement to reported experimental IPs within an average 3.7% absolute error. Structural features of the chemical species studied have a closed relationship with their chemical properties and IP’s. Our results suggest that ET-MALDI matrices such as DCTB (IP = 8.5 eV) and CNPV-OCH3 (IP = 8.3 eV) could be more suitable to analyze these types of chemical species.

Rapid Detection of Viral Envelope Lipids Using Lithium Adducts and AP-MALDI High-Resolution Mass Spectrometry.

There is an unmet need to develop analytical strategies that not only characterize the lipid composition of the viral envelope but also do so on a time scale that would allow for high-throughput analysis. With that in mind, we report the use of atmospheric pressure (AP) matrix-assisted laser desorption/ionization (MALDI) high-resolution mass spectrometry (HRMS) combined with lithium adduct consolidation to profile total lipid extracts rapidly and confidently from enveloped viruses. The use of AP-MALDI reduced the dependency of using a dedicated MALDI mass spectrometer and allowed for interfacing the MALDI source to a mass spectrometer with the desired features, which included high mass resolving power (>100000) and tandem mass spectrometry. AP-MALDI combined with an optimized MALDI matrix system, featuring 2',4',6'-trihydroxyacetophenone spiked with lithium salt, resulted in a robust and high-throughput lipid detection platform, specifically geared to sphingolipid detection. Application of the developed workflow included the structural characterization of prominent sphingolipids and detection of over 130 lipid structures from Influenza A virions. Overall, we demonstrate a high-throughput workflow for the detection and structural characterization of total lipid extracts from enveloped viruses using AP-MALDI HRMS and lithium adduct consolidation.

Proteomic Analysisof Food Allergens by MALDI TOF/TOF Mass Spectrometry.

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is largely recognized as an important tool in the analysis of many biomolecules such as proteins and peptides. The MS analysis of digested peptides to identify a protein or some of its modifications is a key step in proteomics. MALDI-MS is well suited for the peptide mass fingerprinting (PMF) technique, as well as selected fragmentation of various precursors using collisional-induced dissociation (CID) or post-source decay (PSD).In the last few years, MALDI-MS has played a significant role in food chemistry, especially in the detection of food adulterations, characterization of food allergens, and investigation of protein structural modifications induced by various industrial processes that could be an issue in terms of food quality and safety.Here, we present simple extraction protocols of allergenic proteins in food commodities such as milk, egg, hazelnut , and lupin seeds. Classic bottom-up approaches based on Sodium Dodecyl Sulphate(SDS) gel electrophoresis separation followed by in-gel digestion or direct in-solution digestion of whole samples are described. MALDI-MS and MS /MS analyses are discussed along with a comparison of data obtained by using the most widespread matrices for proteomic studies, namely, α-cyano-4-hydroxy-cinnamic acid (CHCA) and α-cyano-4-chloro-cinnamic acid (CClCA). The choice of the most suitable MALDI matrix is fundamental for high-throughput screening of putative food allergens.

Porous TiO2 Film Immobilized with Gold Nanoparticles for Dual-Polarity SALDI MS Detection and Imaging.

Surface-assisted laser desorption/ionization (SALDI) mass spectrometry (MS) has become an attractive complementary approach to matrix-assisted laser desorption/ionization (MALDI) MS. SALDI MS has great potential for the detection of small molecules because of the absence of applied matrix. In this work, a functionalized porous TiO2 film immobilized with gold nanoparticles (AuNPs-FPTDF) was prepared to enhance SALDI MS performance. The porous TiO2 films were prepared by the facile sol-gel method and chemically functionalized for dense loading of AuNPs. The prepared AuNPs-FPTDF showed superior performance in the detection and imaging of small molecules in dual-polarity modes, with high detection sensitivity in the low pmol range, good repeatability, and low background noise compared to common organic MALDI matrixes. Its usage efficiently enhanced SALDI MS detection of various small molecules, such as amino acids and neurotransmitters, fatty acids, saccharides, alkaloids, and flavonoids, as compared with α-cyano-4-hydroxycinnamic acid, 9-aminoacridine, and the three precursor substrates of AuNPs-FPTDF. In addition, the blood glucose level in rats was successfully determined from a linearity concentration range of 0.5-9 mM, as well as other biomarkers in rat serum with SALDI MS. More importantly, the spatial distribution of metabolites from the intact flowers of the medicinal plant Catharanthus roseus was explored by using the AuNPs-FPTDF as an imprint SALDI MS substrate in dual-polarity modes. These results demonstrate wide applications and superior performances of the AuNPs-FPTDF as a multifunctional SALDI surface with enhanced detection sensitivity and imaging capabilities.

Improved N- and C-Terminal Sequencing of Proteins by Combining Positive and Negative Ion MALDI In-Source Decay Mass Spectrometry.

The development of various ionization and fragmentation techniques has been of key importance for establishing mass spectrometry (MS) as a powerful tool for protein characterization. One example of this is matrix-assisted laser desorption/ionization (MALDI) combined with in-source decay (ISD) fragmentation that allows mapping of N- and C-terminal regions of large proteins without the need for proteolysis. Positive ion mode ISD fragments are commonly assigned in the mass region above m/z 1000, while MALDI matrix ions generally hamper the detection of smaller singly charged fragments. The ultrahigh resolving power provided by Fourier transform ion cyclotron resonance (FT-ICR) MS partially overcomes this limitation, but to further increase the detection of smaller fragments we have revisited the application of negative ion mode MALDI-ISD and found good coverage of the peptide chain termini starting from c′2 and z′2 fragment ions. For the first time, we demonstrate that the combination of negative and positive ion MALDI FT-ICR MS is a useful tool to improve the characterization of mAbs. The different specificities of the two ion modes allowed us to selectively cover the sequence of the light and heavy chains of mAbs at increased sensitivity. A comprehensive evaluation of positive and negative ion mode MALDI-ISD FT-ICR MS in the m/z range 46–13 500 showed an increased sequence coverage for three standard proteins, namely, myoglobin, SiLuLite mAb, and NIST mAb. The data obtained in the two ion modes were, in part, complementary.

OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images

BackgroundImaging mass spectrometry (imaging MS) is an enabling technology for spatial metabolomics of tissue sections with rapidly growing areas of applications in biology and medicine. However, imaging MS data is polluted with off-sample ions caused by sample preparation, particularly by the MALDI (matrix-assisted laser desorption/ionization) matrix application. Off-sample ion images confound and hinder statistical analysis, metabolite identification and downstream analysis with no automated solutions available.ResultsWe developed an artificial intelligence approach to recognize off-sample ion images. First, we created a high-quality gold standard of 23,238 expert-tagged ion images from 87 public datasets from the METASPACE knowledge base. Next, we developed several machine and deep learning methods for recognizing off-sample ion images. The following methods were able to reproduce expert judgements with a high agreement: residual deep learning (F1-score 0.97), semi-automated spatio-molecular biclustering (F1-score 0.96), and molecular co-localization (F1-score 0.90). In a test-case study, we investigated off-sample images corresponding to the most common MALDI matrix (2,5-dihydroxybenzoic acid, DHB) and characterized properties of matrix clusters.ConclusionsOverall, our work illustrates how artificial intelligence approaches enabled by open-access data, web technologies, and machine and deep learning open novel avenues to address long-standing challenges in imaging MS.

Characterization of 6-bromoferulic acid as a novel common-use matrix for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Ferulic acid (FA) is a standard matrix used for analyzing proteins. In this study, the ability of a halogenated FA to serve as an effective MALDI matrix was investigated. Various halogenated FAs were synthesized, and the characteristics and performance of each were compared with those of the standard matrices α-cyano-4-hydroxycinnamic acid (CHCA) and 2,5-dihydrobenzoic acid (DHBA). The abilities of 6-bromoferulic acid (6-BFA), ferulic acid (FA), and eight other halogenated FA derivatives to ionize eight synthetic peptides were examined. Absorption measurements, MM2 structure optimizations, and proton affinity (PA) calculations were also performed for 6-BFA and FA. The suitabilities of these compounds as matrices for matrix-assisted laser desorption/ionization (MALDI) for lipids, sugar chains, polymers, cyanocobalamin, synthetic peptides, and tryptic peptides originating from two types of serum proteins were also tested. The 6-position of FA was found to be the best site for introducing a bromine because the generated compound allowed facile detection of cyanocobalamin and several peptides. 6-BFA exhibited good sensitivity for large peptides (3-5 kDa) and peptides containing acidic amino acids or proline. 6-BFA was also shown to be a suitable matrix for tandem mass spectrometry (MS/MS) analysis when using MALDI time-of-flight (TOF) mass spectrometry (MS) with a quadrupole ion trap (QIT) system. The properties of 6-BFA as a MALDI matrix differed from those of DHBA and CHCA. 6-BFA appears to be a useful matrix for de novo sequencing using MALDI-QIT-TOF-MS.

MALDI matrix cluster ions as internal references for ion mobility measurements

In the absence of high vacuum, the mobility of ions in an electric field is dependent on the charge, mass, shape and size of the ions. To achieve accurate calibration for ion mobility measurements, it is important to select calibrants with comparable physical properties to the molecular ions of interest. The size of an ion is often referred as its collision cross section (CCS). Currently, the information on the CCS values of various types of molecular ions are limited, thus representing a challenge to the calibration of ion mobility spectrometry. In this study, instead of finding a way to improve the calibration of ion mobility measurements, the intrinsic by-products of the conventional matrix-assisted laser desorption/ionization (MALDI) technique, namely MALDI matrix cluster (MAC) ions, are being used as internal references for ion mobility measurements. The standard MALDI matrix and sample preparation method are used. During the MALDI ionization process, MAC ions are generated and co-exist with the molecular ions of interest within the ion source. Our results indicate the MAC ions do possess suitable ion mobility characteristics, thus allowing the MAC ions to serve as internal reference for ion mobility measurements. The MAC ions cannot be used as internal standard or calibrants for ion mobility measurements, because their molecular structures as well as their CCS are unknown. However, the detection of MAC ions can allow us to determine whether the normal operation as well as the expected performance on the sensitivity and resolution of ion mobility spectrometry are achievable and reproducible. The MAC ions can also facilitate the transfer of specific experimental protocols between ion mobility instruments and/or laboratories. No extra materials, equipment or procedure are required for using MAC ions. For the proof of concept, all experimental work in this study was carried out on a traveling wave ion mobility mass spectrometry platform.

Reactive Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Using an Intrinsically Photoreactive Paternò-Büchi Matrix for Double-Bond Localization in Isomeric Phospholipids.

The location and identity of phospholipids (PLs) within tissues can serve as diagnostic markers for tissue types or diseases. Whereas mass spectrometry imaging (MSI) has emerged as a powerful bioanalytical tool to visualize PL distributions, inferring PL identities from MSI experiments is challenging. Especially, C═C double-bond (DB) positions are not identifiable in most MSI experiments. Herein, we introduce benzophenone (BPh) as a novel reactive matrix for matrix-assisted laser desorption/ionization (MALDI). BPh promotes desorption/ionization and simultaneously serves as derivatization reagent that allows functionalization of unsaturated PLs during the MALDI process via a laser-light driven Paternò-Büchi (PB) reaction without the need for additional equipment. Using BPh, PB product ions of numerous PL classes are readily generated to pinpoint the location of DBs. High lateral resolution MSI results of DB-position isomers are presented, highlighting the capabilities of BPh as a PB-reactive MALDI matrix to potentially unveil the impact of DB-position isomers in PL metabolism.

Advantages and limitations of quantitative mass spectrometry imaging in pharmaco-toxicology area

Mass spectrometry imaging (MSI) is able to simultaneously record the distribution of hundreds of biomolecules or drugs directly from tissue, without labeling and without prior knowledge [1]. MSI based on matrix assisted laser desorption/ionization (MALDI) applied with different tissue preparation procedures can be used to analyze proteins, peptides, glycans, lipids, metabolites and drug [2]. With a multimodal platform combining quantitative mass spectrometry imaging (QMSI), histochemistry, immunohistochemistry and data science, it is possible to evaluate the drug efficacy, its impact on biomarkers, the target exposure and potential toxicological effects. A biological sample, like an organ (kidney, brain, liver or tumor) is sectioned with a cryostat and mounted on a conductive slide. A MALDI matrix is sprayed onto the section sample (between 8 and 20 μm thickness) with an automatic TM sprayer (HTX Technologies, LLC) prior analysis. Data acquisition is performed using 7T MALDI-FTICR (SolariX, Bruker Daltonics) at a determined (between 20 and 300 μm) spatial resolution in full scan mode (positive or negative mode, depending the ionization of the compound of interest). Acquired data are treated with Multimaging™ (ImaBiotech). Histological and immunohistochemical staining could also be applied. Quantitative Results of drugs and metabolites of interest could be confirmed by LC-MS/MS. Sometimes, an additional step (derivatization strategy) to increase the sensitivity is necessary. Using the mass spectrometry imaging platform, quantification is possible for endogenous metabolites and drugs, while keeping the histological localization. The drug localization and quantification in sample confirm or not the target exposure. With this technique, toxicological effects can be determined, by visualizing the drug in a particular structure of the organ. Correlation between molecular imaging and staining can help to cross-link histological lesions and molecular up and down regulated expressions. Furthermore, this kind of work allows monitoring proximal pharmacodynamics biomarkers of drug efficacy and response to treatment, by measuring the early metabolic response (for example: tryptophan and kynurenine endogenous levels, inflammatory responses (lipids modulation), arginine and ornithine levels, oxidative stress). Furthermore, we can show the correlation between drug presence and target modulation in the microenvironment, and by screening metabolites that are involved in other pathways (like TCA cycle or energetic pathway). Conclusion QMSI allows studying the pharmacological effect of the drug directly in tissue, showing its histological localization and its impact on the endogenous biomarkers. QMSI has the advantages of allowing following the label-free biodistribution of a compound of interest (about 2000 molecules at the same time), with a molecular specificity, while preserving the histological integrity, while being quantitative. However, some molecules lack sensitivity with this technique, a problem that could be circumvented by derivatization reactions, matrix optimization, or tissue washing.