Nicholas Winograd

Signs of a metabolon in action: Eukaryotic cells have a heterogeneous cytoplasm, with compartments large and small, membrane bound or not. Enzymes that catalyze the de novo synthesis of purine nucleotides, which are needed in rapidly dividing cells, are known to assemble into loosely associated, multienzyme structures called purinosomes, but the extent to which these structures are metabolically active has been less certain. Pareek et al. performed metabolomics to trace how purines are synthesized within purinosomes and used sophisticated mass spectrometry imaging to directly observe hotspots of metabolic activity within frozen HeLa cells (see the Perspective by Alexandrov). They found evidence for metabolic channeling between enzymes, which limits equilibration of intermediates formed in purinosomes with the bulk cellular metabolite pool. This process occurs specifically within purinosomes associated with mitochondria, because the input metabolites, glycine, aspartate, and formate, come from mitochondrial metabolism. Such channeling may help cells control the ratio and abundance of purine nucleotides. Science , this issue p. 283 ; see also p. 241

Millions of diverse molecules constituting the lipidome act as important signals within cells. Of these, cardiolipin (CL) and phosphatidylethanolamine (PE) participate in apoptosis and ferroptosis, respectively. Their subcellular distribution is largely unknown. Imaging mass spectrometry is capable of deciphering the spatial distribution of multiple lipids at subcellular levels. Here we report the development of a unique 70 keV gas‐cluster ion beam that consists of (CO₂)_n⁺(n>10 000) projectiles. Coupled with direct current beam buncher‐time‐of‐flight secondary‐ion mass spectrometry, it is optimized for sensitivity towards high‐mass species (up to m/z 3000) at high spatial resolution (1 μm). In combination with immunohistochemistry, phospholipids, including PE and CL, have been assessed in subcellular compartments of mouse hippocampal neuronal cells and rat brain tissue.

Millions of diverse molecules constituting the lipidome act as important signals within cells. Of these, cardiolipin (CL) and phosphatidylethanolamine (PE) participate in apoptosis and ferroptosis, respectively. Their subcellular distribution is largely unknown. Imaging mass spectrometry is capable of deciphering the spatial distribution of multiple lipids at subcellular levels. Here we report the development of a unique 70 keV gas‐cluster ion beam that consists of (CO₂)_n⁺(n>10 000) projectiles. Coupled with direct current beam buncher‐time‐of‐flight secondary‐ion mass spectrometry, it is optimized for sensitivity towards high‐mass species (up to m/z 3000) at high spatial resolution (1 μm). In combination with immunohistochemistry, phospholipids, including PE and CL, have been assessed in subcellular compartments of mouse hippocampal neuronal cells and rat brain tissue.

Gas cluster ion beams (GCIBs) provide new opportunities for bioimaging and molecular depth profiling with secondary ion mass spectrometry (SIMS). These beams, consisting of clusters containing thousands of particles, initiate desorption of target molecules with high yield and minimal fragmentation. This review emphasizes the unique opportunities for implementing these sources, especially for bioimaging applications. Theoretical aspects of the cluster ion/solid interaction are developed to maximize conditions for successful mass spectrometry. In addition, the history of how GCIBs have become practical laboratory tools is reviewed. Special emphasis is placed on the versatility of these sources, as size, kinetic energy, and chemical composition can be varied easily to maximize lateral resolution, hopefully to less than 1 micron, and to maximize ionization efficiency. Recent examples of bioimaging applications are also presented.

In order to utilize complementary imaging techniques to supply higher resolution data for fusion with secondary ion mass spectrometry (SIMS) chemical images, there are a number of aspects that, if not given proper consideration, could produce results which are easy to misinterpret. One of the most critical aspects is that the two input images must be of the same exact analysis area. With the desire to explore new higher resolution data sources that exists outside of the mass spectrometer, this requirement becomes even more important. To ensure that two input images are of the same region, an implementation of the insight segmentation and registration toolkit (ITK) was developed to act as a preprocessing step before performing image fusion. This implementation of ITK allows for several degrees of movement between two input images to be accounted for, including translation, rotation, and scale transforms. First, the implementation was confirmed to accurately register two multimodal images by supplying a known transform. Once validated, two model systems, a copper mesh grid and a group of RAW 264.7 cells, were used to demonstrate the use of the ITK implementation to register a SIMS image with a microscopy image for the purpose of performing image fusion.

Imaging with cluster secondary ion mass spectrometry (SIMS) is reaching a mature level of development. Using a variety of molecular ion projectiles to stimulate desorption, 3-dimensional imaging with the selectivity of mass spectrometry can now be achieved with submicrometer spatial resolution and <10 nm depth resolution. In this Perspective, stock is taken regarding what it will require to routinely achieve these remarkable properties. Issues include the chemical nature of the projectile, topography formation, differential erosion rates, and perhaps most importantly, ionization efficiency. Shortcomings of existing instrumentation are also noted. Speculation about how to successfully resolve these issues is a key part of the discussion.

The tandem MS capability of a C ₆₀ ‐Qstar hybrid instrument was utilized for the characterization of glycerophosphocholine (GPC) lipids in positive ion mode SIMS. In general, the tandem MS of lipids is facilitated by cationization or reaction with alkali metal salts. Thus, the lipids were treated with LiTFA salt (lithiation) prior to mass spectrometric analysis. As a result of the sample treatment, cationized lipid molecular ions with lithium adducts were formed and were revealed by mass shifts of 6 Da relative to unreacted species in the SIMS spectra. The lithiated molecular ions of GPCs were then subjected to collision‐induced dissociation (CID) in tandem MS mode. Upon CID, fragments specifying the fatty acid and head group composition of the GPC lipid were generated and could be used for its structural characterization and identification. In addition, a more significant observation was revealed in the time‐of‐flight‐SIMS spectral data of the lithiated GPC. Here, we found that fragmentation was enhanced, and fragment ions similar to those produced by CID were present in the SIMS spectra. The implications of these results are discussed. Copyright © 2014 John Wiley & Sons, Ltd.

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is an emerging technique for the characterization of biological systems. With the development of novel ion sources such as cluster ion beams, ionization efficiency has been increased, allowing for greater amounts of information to be obtained from the sample of interest. This enables the plotting of the distribution of chemical compounds against position with submicrometer resolution, yielding a chemical map of the material. In addition, by combining imaging with molecular depth profiling, a complete 3-dimensional rendering of the object is possible. The study of single biological cells presents significant challenges due to the fundamental complexity associated with any biological material. Sample preparation is of critical importance in controlling this complexity, owing to the fragile nature of biological cells and to the need to characterize them in their native state, free of chemical or physical changes. Here, we describe the four most widely used sample preparation methods for cellular imaging using ToF-SIMS, and provide guidance for data collection and analysis procedures.