Graphite-assisted laser desorption/ionization (GALDI) mass spectrometry (MS) was investigated for analysis of cerebrosides in a complex total brain lipid extract. Conventional MALDI MS and GALDI MS were compared regarding lipid analysis by using high-vacuum (HV, <10-6 Torr) LDI time-of-flight mass spectrometry and intermediate-pressure (IP, 0.17 Torr) linear ion trap mass spectrometry. Cerebrosides were not detected or detected with low sensitivity in MALDI MS because of other dominant phospholipids. By using GALDI, cerebrosides were detected as intense mass peaks without prior separation from other lipid species while mass peaks corresponding to phosphatidylcholines (PCs) were weak. The signal increase for cerebrosides and the signal decrease for PCs in GALDI MS were more significant in HV than in IP. MSn experiments of precursor ions corresponding to cerebrosides and PCs in brain lipid extract were performed to identify the detected species and distinguish isobaric ions. Twenty-two cerebroside species were detected by GALDI whereas eight cerebroside species were detected by MALDI. Sulfatides in brain lipid extract were also easily detected by GALDI MS in the negative ion mode. By forming a colloidal graphite thin film on rat brain tissue, direct lipid profiling by imaging mass spectrometry (IMS) was performed. Chemically selective images for cerebrosides and sulfatides were successfully obtained. Imaging tandem mass spectrometry (IMS/MS) was performed to generate images of specific product ions from isobaric species.

SummaryLaser desorption/ionization (LDI)-based imaging mass spectrometry (MS) has been applied to several biological systems to obtain information about both the identities of the major chemical species and their localization. Colloidal graphite-assisted LDI (GALDI) MS imaging was introduced for the imaging of small molecules such as phospholipids, cerebrosides, oligosaccharides, flavonoids, and other secondary metabolites with high spatial homogeneity due to finely dispersed particles. Mass profiles and images of Arabidopsis thaliana have been recorded directly from various plant surfaces and cross sections. The main targeted metabolites were flavonoids and cuticular waxes, both of which are important in many aspects of functional genomics, proteomics, and metabolomics. The mass spectral profiles revealed tissue-specific accumulation of flavonoids in flowers and petals. In addition, many other location-specific ions were observed. The location and the degree of light-induced accumulation of flavonoids in stem sections were successfully probed by GALDI MS.

Due to a high background in the low-mass region, conventional MALDI is not as useful for detecting small molecules (molecular masses<500 Da) as it is for large ones. Also, spatial inhomogeneity that is inherent to crystalline matrixes can degrade resolution in imaging mass spectrometry (IMS). In this study, colloidal graphite was investigated as an alternative matrix for laser desorption/ionization (GALDI) in IMS. We demonstrate its advantages over conventional MALDI in the detection of small molecules such as organic acids, flavonoids, and oligosaccharides. GALDI provides good sensitivity for such small molecules. The detection limit of fatty acids and flavonoids in the negative-ion mode are in the low-femtomole range. Molecules were detected directly and identified by comparing the MS and MS/MS spectra with those of standards. Various fruits were chosen to evaluate the practical utility of GALDI since many types of small molecules are present in them. Distribution of these small molecules in the fruit was investigated by using IMS and IMS/MS.

The lack of experimental characterization of the structures and ligand-binding motifs of therapeutic G-protein coupled receptors (GPCRs) hampers rational drug discovery. The human cannabinoid receptor 2 (hCB2R) is a class-A GPCR and promising therapeutic target for small-molecule cannabinergic agonists as medicines. Prior mutational and modeling data constitute provisional evidence that AM-841, a high-affinity classical cannabinoid, interacts with cysteine C6.47(257) in hCB2R transmembrane helix 6 (TMH6) to afford improved hCB2R selectivity and unprecedented agonist potency. We now apply bottom-up mass spectrometry (MS)-based proteomics to define directly the hCB2R-AM-841 interaction at the amino-acid level. Recombinant hCB2R, overexpressed as an N-terminal FLAG-tagged/C-terminal 6His-tagged protein (FLAG-hCB2R-6His) with a baculovirus system, was solubilized and purified by immunochromatography as functional receptor. A multiplex multiple reaction monitoring (MRM)-MS method was developed that allowed us to observe unambiguously all seven discrete TMH peptides in the tryptic digest of purified FLAG-hCB2R-6His and demonstrate that AM-841 modifies hCB2R TMH6 exclusively. High-resolution mass spectra of the TMH6 tryptic peptide obtained by Q-TOF MS/MS analysis demonstrated that AM-841 covalently and selectively modifies hCB2R at TMH6 cysteine C6.47(257). These data demonstrate how integration of MS-based proteomics into a ligand-assisted protein structure (LAPS) experimental paradigm can offer guidance to structure-enabled GPCR agonist design.

Colloidal silver laser desorption/ionization (LDI) mass spectrometry (MS) was employed to directly profile and image epicuticular wax metabolites on a variety of different surfaces of Arabidopsis thaliana leaves and flowers. Major cuticular wax compounds, such as very long-chain fatty acids, alcohols, alkanes, and ketones, were successfully detected as silver adduct ions. The surface metabolites of different flower organs (carpels, petals, and sepals) were profiled for the first time at a spatial resolution of approximately 100 microm. In addition, mass spectral profiles and images were collected from wild type and a mutant strain, which carried alleles that affect the surface constituents of this organism. One of these mutant alleles (cer2-2) is in a gene whose biochemical functionality is still unclear, although its effect on normal epicuticular wax deposition was the characteristic that led to its original identification. Variations of wax products between different spatial locations for wild type and for a mutant strain were investigated by normalizing the ion intensities to a reference peak ([(107)Ag + (109)Ag](+)). The spatially resolved surface metabolite profiling data of this mutant has provided new insights into the complexity of epicuticular wax deposition at the cellular-resolution scale. This MS-based metabolite imaging technology has the potential to provide valuable data for dissecting metabolism in multicellular organism at the level of single cells.

Breast cancer is a major health problem that each year affects the lives of millions of women worldwide. In 2008, in the United States alone, ϳ180,000 women were diagnosed with invasive breast carcinoma (1). The use of high-throughput gene expression technologies applied to the study of human breast cancer has lead to the discovery of the "intrinsic gene signatures" that stratify human breast cancers into four subtypes that correlate remarkably well with clinically recognized breast cancer subtypes (2-6). These subtypes include "HER2ϩ," "basal," and "luminal A," "luminal B" breast cancers. HER2ϩ tumors are most frequently estrogen receptor (ER)-1 , express proliferation genes, as well as Her-2 and other genes linked to this latter locus. The basal tumors are most commonly ER negative, progesterone receptor negative and Her-2 negative. The luminal A and luminal B tumors express luminal cytokeratins, the estrogen receptor (ER), and trans-acting T-cell-specific transcription factor (GATA3).The luminal breast cancers (both A and B subtypes) constitute ϳ70% of all human breast cancers diagnosed worldwide. In general, the luminal breast cancers are associated with favorable prognosis as compared with the HER2ϩ and basal subtypes. Nevertheless, luminal B tumors have a worse prognosis than luminal A tumors, and recent data suggest

Precise proteomic profiling of limited levels of disease tissue represents an extremely challenging task. Here, we present an effective and reproducible microproteomic workflow for sample sizes of only 10,000 cells that integrates selective sample procurement via laser capture microdissection (LCM), sample clean up and protein level fractionation using short-range SDS-PAGE, followed by ultrasensitive LC-MS/MS analysis using a 10 μm i.d. porous layer open tubular (PLOT) column. With 10,000 LCM captured mouse hepatocytes for method development and performance assessment, only 10% of the in-gel digest, equivalent to ~1000 cells, was needed per LC-MS/MS analysis. The optimized workflow was applied to the differential proteomic analysis of 10,000 LCM collected primary and metastatic breast cancer cells from the same patient. More than 1100 proteins were identified from each injection with >1700 proteins identified from three LCM samples of 10,000 cells from the same patient (1123 with at least two unique peptides). Label free quantitation (spectral counting) was performed to identify differential protein expression between the primary and metastatic cell populations. Informatics analysis of the resulting data indicated that vesicular transport and extracellular remodeling processes were significantly altered between the two cell types. The ability to extract meaningful biological information from limited, but highly informative cell populations demonstrates the significant benefits of the described microproteomic workflow.

We introduce UnaG as a green-to-dark photoswitching fluorescent protein capable of highquality super-resolution imaging with photon numbers equivalent to the brightest photoswitchable red protein. UnaG only fluoresces upon binding of a fluorogenic metabolite, bilirubin, enabling UV-free reversible photoswitching with easily controllable kinetics and low background under Epi illumination. The on-and off-switching rates are controlled by the concentration of the ligand and the excitation light intensity, respectively, where the dissolved oxygen also promotes the off-switching. The photo-oxidation reaction mechanism of bilirubin in UnaG suggests that the lack of ligand-protein covalent bond allows the oxidized ligand to detach from the protein, emptying the binding cavity for rebinding to a fresh ligand molecule. We demonstrate super-resolution single-molecule localization imaging of various subcellular structures genetically encoded with UnaG, which enables facile labeling and simultaneous multicolor imaging of live cells. UnaG has the promise of becoming a default protein for highperformance super-resolution imaging.