@article{knizner_eisenberg_muddiman_2024, title={Prototyping an ionization source for non-engineers}, volume={59}, ISSN={["1096-9888"]}, DOI={10.1002/jms.4995}, abstractNote={Abstract}, number={1}, journal={JOURNAL OF MASS SPECTROMETRY}, author={Knizner, Kevan T. and Eisenberg, Seth M. and Muddiman, David C.}, year={2024}, month={Jan} }
 @article{xi_knizner_garrard_muddiman_2023, title={Automatic z-Axis Correction for IR-MALDESI Mass Spectrometry Imaging of Uneven Surfaces}, volume={6}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.3c00151}, abstractNote={Two-dimensional mass spectrometry imaging (2D MSI) experiments mainly involve samples with a flat surface and constant thickness, but some samples are challenging to section due to the texture and topography. Herein, we present an MSI method that automatically corrects for discernible height differences across surfaces during imaging experiments. A chromatic confocal sensor was incorporated into the infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) system to measure the sample surface height at the location of each analytical scan. The height profile is subsequently used for adjusting the z-axis position of the sample during MSI data acquisition. We evaluated this method using a tilted mouse liver section and an unsectioned Prilosec tablet due to their exterior quasi-homogeneity and height differences of approximately ∼250 μm. MSI with automatic z-axis correction showed consistent ablated spot sizes and shapes, revealing the measured ion spatial distribution across a mouse liver section and a Prilosec tablet. Conversely, irregular spots and reduced signals with large variability were observed when no z-axis correction was applied.}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Xi, Ying and Knizner, Kevan T. T. and Garrard, Kenneth P. P. and Muddiman, David C. C.}, year={2023}, month={Jun} }
 @article{eisenberg_knizner_muddiman_2023, title={Development of an object-based image analysis tool for mass spectrometry imaging ion classification}, volume={5}, ISSN={["1618-2650"]}, DOI={10.1007/s00216-023-04764-x}, abstractNote={Mass spectrometry imaging (MSI) is an analytical technique that can detect and visualize thousands of m/z values resolved in two- and three-dimensional space. These m/z values lead to hundreds of molecular annotations, including on-tissue and background ions. Discrimination of sample-related analytes from ambient ions conventionally involves manual investigation of each ion heatmap, which requires significant researcher time and effort (for a single tissue image, it can take an hour to determine on-tissue and off-tissue species). Moreover, manual investigation lends itself to subjectivity. Herein, we present the utility of an ion classification tool (ICT) developed using object-based image analysis in MATLAB. The ICT functions by segmenting ion heatmap images into on-tissue and off-tissue objects through binary conversion. The binary images are analyzed and within seconds used to classify the ions as on-tissue or background using a binning approach based on the number of detected objects. In a representative dataset with 50 randomly selected annotations, the ICT was able to accurately classify 45/50 ions as on-tissue or background.}, journal={ANALYTICAL AND BIOANALYTICAL CHEMISTRY}, author={Eisenberg, Seth M. and Knizner, Kevan T. and Muddiman, David C.}, year={2023}, month={May} }
 @article{joignant_knizner_xi_muddiman_2023, title={Evaluating the optimal tissue thickness for mass spectrometry imaging using infrared matrix-assisted laser desorption electrospray ionization}, volume={37}, ISSN={["1097-0231"]}, DOI={10.1002/rcm.9638}, abstractNote={RationaleInfrared matrix‐assisted laser desorption electrospray ionization (IR‐MALDESI) utilizes a 2970 nm mid‐IR laser to desorb samples with depth resolutions (Z) on the order of micrometers. Conventionally, 5–20 μm thick tissue sections are used to characterize different applications of the IR‐MALDESI source, but an optimal thickness has not been systematically investigated.}, number={22}, journal={RAPID COMMUNICATIONS IN MASS SPECTROMETRY}, author={Joignant, Alena N. and Knizner, Kevan T. and Xi, Ying and Muddiman, David C.}, year={2023}, month={Nov} }
 @article{joignant_ritter_knizner_garrard_kullman_muddiman_2023, title={Maximized Spatial Information and Minimized Acquisition Time of Top-Hat IR-MALDESI-MSI of Zebrafish Using Nested Regions of Interest (nROIs)}, volume={8}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.3c00210}, abstractNote={Increasing the spatial resolution of a mass spectrometry imaging (MSI) method results in a more defined heatmap of the spatial distribution of molecules across a sample, but it is also associated with the disadvantage of increased acquisition time. Decreasing the area of the region of interest to achieve shorter durations results in the loss of potentially valuable information in larger specimens. This work presents a novel MSI method to reduce the time of MSI data acquisition with variable step size imaging: nested regions of interest (nROIs). Using nROIs, a small ROI may be imaged at a higher spatial resolution while nested inside a lower-spatial-resolution peripheral ROI. This conserves the maximal spatial and chemical information generated from target regions while also decreasing the necessary acquisition time. In this work, the nROI method was characterized on mouse liver and applied to top-hat MSI of zebrafish using a novel optical train, which resulted in a significant improvement in both acquisition time and spatial detail of the zebrafish. The nROI method can be employed with any step size pairing and adapted to any method in which the acquisition time of larger high-resolution ROIs poses a practical challenge.}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Joignant, Alena N. and Ritter, Morgan M. and Knizner, Kevan T. and Garrard, Kenneth P. and Kullman, Seth W. and Muddiman, David C.}, year={2023}, month={Aug} }
 @article{eisenberg_knizner_muddiman_2023, title={Metabolite Annotation Confidence Score (MACS): A Novel MSI Identification Scoring Tool}, volume={8}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.3c00178}, abstractNote={Mass spectrometry imaging (MSI) is an analytical technique capable of measuring and visualizing the spatial distribution of thousands of ions across a sample. Measured ions can be putatively identified and annotated by comparing their mass-to-charge ratio (m/z) to a database of known compounds. For high-resolution, accurate mass (HRAM) imaging data sets, this is commonly performed by the annotation platform METASPACE. Annotations are reported with a metabolite-signal-match (MSM) score as a measure of the annotation's confidence level. However, the MSM scores reported by METASPACE often do not reflect a reasonable confidence level of an annotation and are not assigned consistently. The metabolite annotation confidence score (MACS) is an alternative scoring system based on fundamental mass spectrometry imaging metrics (mass measurement accuracy, spectral accuracy, and spatial distribution) to generate values that reflect the confidence of a specific annotation in HRAM-MSI data sets. Herein, the MACS system is characterized and compared to MSM scores from ions annotated by METASPACE.}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Eisenberg, Seth M. and Knizner, Kevan T. and Muddiman, David C.}, year={2023}, month={Aug} }
 @article{barnes_rodriguez-zapata_juarez-nunez_gates_janzen_kur_wang_jensen_estevez-palmas_crow_et al._2022, title={An adaptive teosinte mexicana introgression modulates phosphatidylcholine levels and is associated with maize flowering time}, volume={119}, ISSN={["1091-6490"]}, url={http://dx.doi.org/10.1073/pnas.2100036119}, DOI={10.1073/pnas.2100036119}, abstractNote={Native Americans domesticated maize (Zea maysssp.mays) from lowland teosinteparviglumis(Zea maysssp.parviglumis)in the warm Mexican southwest and brought it to the highlands of Mexico and South America where it was exposed to lower temperatures that imposed strong selection on flowering time. Phospholipids are important metabolites in plant responses to low-temperature and phosphorus availability and have been suggested to influence flowering time. Here, we combined linkage mapping with genome scans to identifyHigh PhosphatidylCholine 1(HPC1), a gene that encodes a phospholipase A1 enzyme, as a major driver of phospholipid variation in highland maize. Common garden experiments demonstrated strong genotype-by-environment interactions associated with variation atHPC1,with the highlandHPC1allele leading to higher fitness in highlands, possibly by hastening flowering. The highland maizeHPC1variant resulted in impaired function of the encoded protein due to a polymorphism in a highly conserved sequence. A meta-analysis across HPC1 orthologs indicated a strong association between the identity of the amino acid at this position and optimal growth in prokaryotes. Mutagenesis ofHPC1via genome editing validated its role in regulating phospholipid metabolism. Finally, we showed that the highlandHPC1allele entered cultivated maize by introgression from the wild highland teosinteZea maysssp.mexicanaand has been maintained in maize breeding lines from the Northern United States, Canada, and Europe. Thus,HPC1introgressed from teosintemexicanaunderlies a large metabolic QTL that modulates phosphatidylcholine levels and has an adaptive effect at least in part via induction of early flowering time.}, number={27}, journal={PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, publisher={Proceedings of the National Academy of Sciences}, author={Barnes, Allison C. and Rodriguez-Zapata, Fausto and Juarez-Nunez, Karla A. and Gates, Daniel J. and Janzen, Garrett M. and Kur, Andi and Wang, Li and Jensen, Sarah E. and Estevez-Palmas, Juan M. and Crow, Taylor M. and et al.}, year={2022}, month={Jul} }
 @article{pu_knizner_robey_radosevich_ugrin_elsen_durbin_williams_2022, title={High-Throughput Deconvolution of Intact Protein Mass Spectra for the Screening of Covalent Inhibitors}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.2c00273}, abstractNote={Deconvolution from intact protein mass-to-charge spectra to mass spectra is essential to generate interpretable data for mass spectrometry (MS) platforms coupled to ionization sources that produce multiply charged species. Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) can be used to analyze intact proteins in multiwell microtiter plates with speed matching small molecule analyses (at least 1 Hz). However, the lack of compatible deconvolution software has limited its use in high-throughput screening applications. Most existing automated deconvolution software packages work best for data generated from LC-MS, and to the best of our knowledge, there is no software capable of performing fast plate-based mass spectral deconvolution. Herein we present the use of a new workflow in ProSight Native for the deconvolution of protein spectra from entire well plates that can be completed within 3 s. First, we successfully demonstrated the potential increased throughput benefits produced by the combined IR-MALDESI-MS - ProSight Native platform using protein standards. We then conducted a screen for Bruton's tyrosine kinase (BTK) covalent binders against a well-annotated compound collection consisting of 2232 compounds and applied ProSight Native to deconvolute the protein spectra. Seventeen hits including five known BTK covalent inhibitors in the compound set were identified. By alleviating the data processing bottleneck using ProSight Native, it may be feasible to analyze and report covalent screening results for >200,000 samples in a single day.}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Pu, Fan and Knizner, Kevan T. and Robey, Matthew T. and Radosevich, Andrew J. and Ugrin, Scott A. and Elsen, Nathaniel L. and Durbin, Kenneth R. and Williams, Jon D.}, year={2022}, month={Nov} }
 @article{knizner_guymon_garrard_bouvree_manni_hauschild_strupat_fort_earley_wouters_et al._2022, title={Next-Generation Infrared Matrix-Assisted Laser Desorption Electrospray Ionization Source for Mass Spectrometry Imaging and High-Throughput Screening}, volume={9}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.2c00178}, abstractNote={Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) is a hybrid, ambient ionization source that combines the advantages of electrospray ionization and matrix-assisted laser desorption/ionization, making it a versatile tool for both high-throughput screening (HTS) and mass spectrometry imaging (MSI) studies. To expand the capabilities of the IR-MALDESI source, an entirely new architecture was designed to overcome the key limitations of the previous source. This next-generation (NextGen) IR-MALDESI source features a vertically mounted IR-laser, a planar translation stage with computerized sample height control, an aluminum enclosure, and a novel mass spectrometer interface plate. The NextGen IR-MALDESI source has improved user-friendliness, improved overall versatility, and can be coupled to numerous Orbitrap mass spectrometers to accommodate more research laboratories. In this work, we highlight the benefits of the NextGen IR-MALDESI source as an improved platform for MSI and direct analysis. We also optimize the NextGen MALDESI source component geometries to increase target ion abundances over a wide m/z range. Finally, documentation is provided for each NextGen IR-MALDESI part so that it can be replicated and incorporated into any lab space.}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Knizner, Kevan T. and Guymon, Jacob P. and Garrard, Kenneth P. and Bouvree, Guy and Manni, Jeffrey and Hauschild, Jan-Peter and Strupat, Kerstin and Fort, Kyle L. and Earley, Lee and Wouters, Eloy R. and et al.}, year={2022}, month={Sep} }
 @article{knizner_bagley_pu_elsen_williams_muddiman_2022, title={Normalization techniques for high-throughput screening by infrared matrix-assisted laser desorption electrospray ionization mass spectrometry}, volume={57}, ISSN={["1096-9888"]}, DOI={10.1002/jms.4869}, abstractNote={Abstract}, number={6}, journal={JOURNAL OF MASS SPECTROMETRY}, author={Knizner, Kevan T. and Bagley, Michael C. and Pu, Fan and Elsen, Nathaniel L. and Williams, Jon D. and Muddiman, David C.}, year={2022}, month={Jun} }
 @article{knizner_kibbe_garrard_nunez_anderton_muddiman_2022, title={On the importance of color in mass spectrometry imaging}, volume={57}, ISSN={["1096-9888"]}, DOI={10.1002/jms.4898}, abstractNote={Abstract}, number={12}, journal={JOURNAL OF MASS SPECTROMETRY}, author={Knizner, Kevan T. and Kibbe, Russell R. and Garrard, Kenneth P. and Nunez, Jamie R. and Anderton, Christopher R. and Muddiman, David C.}, year={2022}, month={Dec} }
 @article{knizner_bagley_garrard_hauschild_pu_elsen_williams_muddiman_2022, title={Optimized C-Trap Timing of an Orbitrap 240 Mass Spectrometer for High-Throughput Screening and Native MS by IR-MALDESI}, volume={33}, ISSN={["1879-1123"]}, DOI={10.1021/jasms.1c00319}, abstractNote={Infrared matrix-assisted laser desorption ionization (IR-MALDESI) is a hybrid mass spectrometry ionization source that combines the benefits of electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) making it a great analytical tool for high-throughput screening (HTS) analyses. IR-MALDESI is coupled to an Orbitrap Exploris 240 mass spectrometer that utilizes a bent quadrupole (C-trap) to inject accumulated ions into the high-field Orbitrap mass analyzer. Here, we present a study on the optimized C-trap timing for HTS analyses by IR-MALDESI mass spectrometry. The timing between initial ion generation and the C-trap opening time was optimized to reduce unnecessary ambient ion accumulation in the mass spectrometer. The time in which the C-trap was held open, the ion accumulation time, was further optimized to maximize the accumulation of analyte ions generated using IR-MALDESI. The resulting C-trap opening scheme benefits small-molecule HTS analyses by IR-MALDESI by maximizing target ion abundances, minimizing ambient ion abundances, and minimizing the total analysis time per sample. The proposed C-trap timing scheme for HTS does not translate to large molecules; a NIST monoclonal antibody standard reference material was analyzed to demonstrate that larger analytes require longer ion accumulation times and that IR-MALDESI can measure intact antibodies in their native state.}, number={2}, journal={JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY}, author={Knizner, Kevan T. and Bagley, Michael C. and Garrard, Kenneth P. and Hauschild, Jan-Peter and Pu, Fan and Elsen, Nathaniel L. and Williams, Jon D. and Muddiman, David C.}, year={2022}, month={Feb}, pages={328–334} }