Optimal Cutting Temperature Research Articles

Developing a simple and rapid method for cell-specific transcriptome analysis through laser microdissection: insights from citrus rind with broader implications

BackgroundWith the rapid development of single-cell sequencing technology, histological studies are no longer limited to conventional homogenized tissues. Laser microdissection enables the accurate isolation of specific tissues or cells, and when combined with next-generation sequencing, it can reveal important biological processes at the cellular level. However, traditional laser microdissection techniques have often been complicated and time-consuming, and the quality of the RNA extracted from the collected samples has been inconsistent, limiting follow-up studies. Therefore, an improved, simple, and efficient laser microdissection method is urgently needed.ResultsWe omitted the sample fixation and cryoprotectant addition steps. Instead, fresh samples were embedded in Optimal Cutting Temperature medium within 1.5 ml centrifuge tube caps, rapidly frozen with liquid nitrogen, and immediately subjected to cryosectioning. A series of section thicknesses of citrus rind were tested for RNA extraction, which showed that 18 μm thickness yielded the highest quality RNA. By shortening the dehydration time to one minute per ethanol gradient and omitting the tissue clearing step, the resulting efficient dehydration and preserved morphology ensured high-quality RNA extraction. We also propose a set of laser microdissection parameters by adjusting the laser power to optimal values, reducing the aperture size, and lowering the pulse frequency. Both the epidermal and subepidermal cells from the citrus rind were collected, and RNA extraction was completed within nine hours. Using this efficient method, the transcriptome sequencing of the isolated tissues generated high-quality data with average Q30 values and mapping rates exceeding 91%. Moreover, the transcriptome analysis revealed significant differences between the cell layers, further confirming the effectiveness of our isolation approach.ConclusionsWe developed a simple and rapid laser microdissection method and demonstrated its effectiveness through a study based on citrus rind, from which we generated high-quality transcriptomic data. This fast and efficient method of cell isolation, combined with transcriptome sequencing not only contributes to precise histological studies at the cellular level in citrus but also provides a promising approach for cell-specific transcriptome analysis in a broader range of other plant tissues.

An optimized workflow for transcriptomic analysis from archival paraformaldehyde-fixed retinal tissues collected by laser capture microdissection

RNA sequencing (RNA-seq) coupled with laser capture microdissection (LCM) is a powerful tool for transcriptomic analysis in unfixed fresh-frozen tissues. Fixation of ocular tissues for immunohistochemistry commonly involves the use of paraformaldehyde (PFA) followed by embedding in Optimal Cutting Temperature (OCT) medium for long-term cryopreservation. However, the quality of RNA derived from such archival PFA-fixed/OCT-embedded samples is often compromised, limiting its suitability for transcriptomic studies. In this study, we aimed to develop a methodology to extract high-quality RNA from PFA-fixed canine eyes by utilizing LCM to isolate retinal tissue. We demonstrate the efficacy of an optimized LCM and RNA purification protocol for transcriptomic profiling of PFA-fixed retinal specimens. We compared four pairs of canine retinal tissues, where one eye was subjected to PFA-fixation prior to OCT embedding, while the contralateral eye was embedded fresh frozen (FF) in OCT without fixation. Since the RNA obtained from PFA-fixed retinas were contaminated with genomic DNA, we employed two rounds of DNase I treatment to obtain RNA suitable for RNA-seq. Notably, the quality of sequencing reads and gene sets identified from both PFA-fixed and FF tissues were nearly identical. In summary, our study introduces an optimized workflow for transcriptomic profiling from PFA-fixed archival retina. This refined methodology paves the way for improved transcriptomic analysis of preserved ocular tissue, bridging the gap between optimal sample preservation and high-quality RNA data acquisition.

Abstract PO2-16-04: Proteogenomic characterization of non-luminal A versus luminal A breast cancer tumor cells enriched by laser microdissection

Abstract Introduction: Breast cancer (BC) is classified into four widely-accepted intrinsic subtypes based on PAM (Prediction Analysis of Microarray) 50 gene expression profiles: Luminal A (LumA), Luminal B (LumB), Her2-enriched (Her2) and basal-like (Basal). Recent multi-omic studies of human BC have identified many potential therapeutic biomarkers for these subtypes and have also revealed the extensive molecular heterogeneity of the disease. Patients with LumA tumors generally have better outcomes because these tumors are typically slower-growing and responsive to hormone therapy. However, there is still considerable variation in the clinical outcomes of patients with non-LumA tumors. Here, we strive to understand the proteogenomic characteristics of intrinsically-defined non-LumA tumors in reference to LumA tumors. Methods: A total of 117 retrospectively-collected, untreated primary breast tumor specimens, with a focus on non-LumA subtypes, were selected from the Clinical Breast Care Project and consented using a HIPAA-compliant, IRB-approved protocol. The study cohort had a median patient follow-up of 9.3 years, enabling clinical outcome-related analyses. Immunohistochemistry (IHC) subtyping was used to enrich the cohort with non-LumA subtypes. Breast tumors were embedded in OCT (Optimal Cutting Temperature) compound and processed by laser microdissection (LMD) to enrich for tumor cells. DNA, RNA, and protein were simultaneously extracted from each tumor using the illustra triplePrep kit. Paired-end RNA sequencing and whole genome sequencing (WGS) were performed for 117 and 99 tumors, respectively, using the Illumina HiSeq platform. Quantitative global proteomics and phosphoproteomic analyses were performed on 112 and 50 tumors, respectively, using isobaric TMT 6-plex labeling with the “universal reference” strategy. Results: We observed significantly lower stromal, immune and microenvironment scores in non-basal-like tumors, especially the LumA subtype from LMD-processed samples, compared to that of the same tumors but bulk-processed in TCGA-breast cancer study. There was also significantly lower stromal gene expression in LMD LumA compared to TCGA LumA. Unlike a recent report on proteomics clustering of bulk-processed tumors, we did not observe a stromal-enriched cluster, probably because the use of LMD minimized stromal components. Many common patterns of somatic mutations were observed among non-LumA tumors, such as dominant TP53 mutations and 5q deletion, suggesting a potentially common cell-of-origin for non-LumA tumors, such as an ER negative cancer stem cell or progenitor cell for these tumor subtypes. Cell proliferation-associated genes were amplified and proliferation pathways strongly enriched in non-LumA tumors. In addition to this, we identified two distinct phosphoproteomic profiles for relapsed and relapse-free basal-like BC. Moreover, we also identified 17 differentially expressed phosphopeptides that could identify cases of relapsed and relapse-free basal-like BC with a significant difference in progression-free interval of surviving cases. Conclusion: This study provides an integrated proteogenomic characterization of non-LumA vs LumA tumor specimens enriched for cancer cells. We identified many common features of non-LumA tumors and also identified phosphopeptides that could serve as potential biomarkers for less aggressive basal-like BC and possibly guide treatment selections. Disclaimer: The contents of this publication are the sole responsibility of the author(s) and do not necessarily reflect the views, opinions or policies of USUHS, HJF, the DoD or the Departments of the Army, Navy or Air Force or the DOE or PNNL. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. Citation Format: Praveen Kumar Raj Kumar, Xiaoying Lin, Tao Liu, Lori Sturtz, Marina Gritsenko, Vladislav Petyuk, Tyler Sagendorf, Brenda Deyarmin, Jianfang Liu, Anupama Praveen-Kumar, Guisong Wang, Jason McDermott, Anil Shukla, Ronald Moore, Matthew Monroe, Bobbie-Jo Webb-Robertson, Jeffrey Hooke, Leigh Fantacone-Campbell, Brad Mostoller, Leonid Kvecher, Jennifer Kane, Jennifer Melley, Stella Somiari, Patrick Soon-Shiong, Richard Smith, Richard Mural, Karin Rodland, Craig Shriver, Albert Kovatich, Hai Hu. Proteogenomic characterization of non-luminal A versus luminal A breast cancer tumor cells enriched by laser microdissection [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-16-04.

SARS-CoV-2 Decreases Neuronal Activity in Brainstem Respiratory Centers in C57BI6/J Mice

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also called COVID-19, targets the respiratory system, leading to symptoms such as cough, fever, and diffculty breathing. As the mechanisms behind SARS-CoV-2 infections continues to be studied, understanding of how this virus targets specific tissues becomes more apparent. Angiotensin-converting enzyme-2 (ACE2), the target of SARS-CoV infections and a functional receptor for SARS-CoV-2 invasions, is highly expressed in many tissues throughout the body, including the lungs, kidneys, and brain. Notably, our group previously reported that neurons are the main cells within the brain expressing ACE2. Accordingly, we hypothesized that neuronal infection of brainstem respiratory centers by SARS-CoV-2 could contribute to respiratory symptoms associated with COVID-19, specifically respiratory failure. C57BI6/J mice were mock infected or received SARS-CoV-2 (7.5x103 or 1.5x104) intranasally in a BSL-3 facility (University of Texas in Galveston) and were euthanized by CO2 hypoxia after 5 days post infection. The heads were harvested and immersed in formalin for 3 days before being transferred to LSU Health-NO for processing. Brains were carefully dissected out and preserved in optimal cutting temperature (OCT) before sectioning on a cryostat. Sections (30 μm) containing the retrotrapezoid nucleus (RTN) were selected as its neurons are part of the pontomedullary regions that generate the respiratory rhythm and pattern. Immunohistochemistry for c-Fos, a marker of neuronal activity, was used to assess neuronal activity in the RTN. Sections were incubated overnight with a primary monoclonal antibody (rabbit anti c-Fos, 1:1000) followed with a secondary goat antirabbit fluorescent IgG (GFP, 1:200, 1h) antibody. Sections were then mounted to slides in the dark to preserve the fluorescence and observed under the microscope. Images of neurons present in the RTN were captured and neurons were then hand counted and averaged. Neuronal activity in the RTN was decreased with the dose of SARS-CoV-2 used to infect cells in the brain. The greater the dose of SARS-CoV-2, the lower the number of c-Fos-positive neurons was detected in the RTN. Mock brains had the greatest number of neurons and brains infected with 1.5x104 SARS-CoV-2 had the lowest number of neurons in the RTN. This was demonstrated by counting neurons at 3 different intervals and taking the average. We conclude that SARS-CoV-2 targets neurons in respiratory centers, possibly contributing to impaired respiratory function in infected patients. NIH/NHLBI HL163814. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Heat 'n Beat: A Universal High-Throughput End-to-End Proteomics Sample Processing Platform in under an Hour.

Proteomic analysis by mass spectrometry of small (≤2 mg) solid tissue samples from diverse formats requires high throughput and comprehensive proteome coverage. We developed a nearly universal, rapid, and robust protocol for sample preparation, suitable for high-throughput projects that encompass most cell or tissue types. This end-to-end workflow extends from original sample to loading the mass spectrometer and is centered on a one-tube homogenization and digestion method called Heat 'n Beat (HnB). It is applicable to most tissues, regardless of how they were fixed or embedded. Sample preparation was divided into separate challenges. The initial sample washing and final peptide cleanup steps were adapted to three tissue sources: fresh frozen (FF), optimal cutting temperature (OCT) compound embedded (FF-OCT), and formalin-fixed paraffin embedded (FFPE). Third, for core processing, tissue disruption and lysis were decreased to a 7 min heat and homogenization treatment, and reduction, alkylation, and proteolysis were optimized into a single step. The refinements produced near doubled peptide yield when compared to our earlier method ABLE delivered a consistently high digestion efficiency of 85-90%, reported by ProteinPilot, and required only 38 min for core processing in a single tube, with the total processing time being 53-63 min. The robustness of HnB was demonstrated on six organ types, a cell line, and a cancer biopsy. Its suitability for high-throughput applications was demonstrated on a set of 1171 FF-OCT human cancer biopsies, which were processed for end-to-end completion in 92 h, producing highly consistent peptide yield and quality for over 3513 MS runs.

The Role of bHLH Transcription Factor Bmal2 in Arterial Endothelial Circadian Rhythms and Remodeling: Sex Dependent Effects in Mice\r

Cardiovascular disease remains the number one cause of mortality in humans (Murphy, Kochanek, Xu, & Arias, 2020). An important influence in the progression of artery disease is the long-term effect of disruptions in daily patterns or circadian rhythms. Not sleeping well at night and daytime sleepiness both associate with cardiovascular disease. In addition, a cardiovascular system that does not rest well at night is also bad. A blood pressure reading that does not decrease at night, called non-dipping hypertension, worsens cardiovascular disease. One important impact of broken rhythms is to cause disease in arteries. Thus, understanding the mechanisms that control 24-hour daily patterns is important. One key component gene of circadian rhythm is the transcription factor Bmal1. Vascular disease is a progression that begins as an adaptation to hypertension, diabetes, and hypercholesterolemia, whereby blood vessels change their structure in response to these changes in the bloodstream through a process called vascular remodeling. Remodeling is a process whereby arteries, arterioles, and even veins change their size and cellular structure (muscularity). Using mouse models of genetic disruption, our lab previously found that Bmal1 has an important role to control vascular remodeling, and when Bmal1 was disrupted, a vascular disease phenotype occurred. The lab also found that the endothelial cell layer of arteries contributes to the disease in Bmal1 knockout (KO) mice. These observations seemed the same in both males and females, thus, were sex independent. Bmal2, is a paralog of Bmal1. Bmal2 interacts with Bmal1 and is more selectively expressed in the endothelium. However, the role of Bmal2 in remodeling is not clear. To understand the role of Bmal2 in vascular disease, I have implemented a widely used experimental animal model of arterial ligation to induce vascular remodeling. I have ligated the left common carotid artery (LC) in two groups of mice, control wild-type (WT) mice (no genetic mutation) and the experimental Bmal2-KO (global knockout) mice. After two weeks, I isolated the LC and fixed the arteries in optimal cutting temperature (O.C.T.) compound and conducted histological processing (cut cross sections with a cryotome and staining with hematoxylin and eosin). I then quantified the changes in structure in the artery using the ImageJ program on digitized microscope images. My findings show that inward remodeling and wall-hypertrophy in male Bmal2- KO mice are similar to wild-type mice. The inward remodeling observed in the male WT and male Bmal2-KO mice is consistent with the normal response of what has been observed in this ligation model, inward accompanied by wall hypertrophy. However, I saw something different in the female Bmal2-KO mice undergoing the ligation for two weeks. Female Bmal2-KO mice exhibited robust inward remodeling that was accompanied by intimal hyperplasia. My data suggest that there are sex-specific differences in remodeling controlled by Bmal2.

Quantitative 3D assessment of the lung cancer microenvironment using multi-resolution open-top light-sheet microscopy.

2616 Background: Non-small cell lung cancer (NSCLC) tissue is a valuable resource for diagnosis, treatment planning, and drug development. Current 2D histopathological techniques introduce under-sampling error (i.e., a single 5 µm section represents 0.5% of a 1 mm thick biopsy), interobserver variability, and failure to capture the biology contained within the entire tissue sample. We have developed a suite of technologies to stain, chemically clarify, image, visualize, and analyze entire, intact lung tissue samples. Herein, we present analysis methods for comprehensive 3D assessment of intact NSCLC tissue. Methods: Human NSCLC tissue, stored frozen in optimal cutting temperature (OCT) compound, was fixed in 4% paraformaldehyde, stained with nuclear (TOPRO-3) and general protein (Eosin) fluorescent dyes, and optically cleared using a modified iDISCO protocol with ethyl cinnamate as the refractive index matching solution. Twenty tissue samples measuring 1-5 mm3 in volume were imaged at 2 µm/pixel resolution with a hybrid open-top light-sheet microscope. Smaller regions of interest (ROIs) with interesting pathologic features were re-imaged at higher resolution, 0.17 µm/pixel. Visualization and analysis was performed using Aivia software, custom spatial analysis software and python scripts. Results: All NSCLC tissue samples were successfully imaged in 3D at both low and high resolution. Computational approaches, such as machine learning, were used to segment and classify tumor cells and lymphocytes within the high resolution ROIs. In one example we quantified a 0.0045 mm3 ROI containing 1x109 voxels. We segmented 1,474 unique objects, and classified 683 (46%) of the objects as lymphocytes and 309 (20%) of the cells as tumor cells. We found that on average the lymphocytes were within 12 µm of the nearest tumor cell. Additionally the tissue was broken into separate lymphocyte dense (58% of volume) and tumor dense regions (42% of volume). Further analysis is in progress to quantify more features, such as tertiary lymphoid structures, stromal cells, and fibrosis over the full 20 sample dataset. Conclusions: We successfully implemented 3D machine learning analysis pipelines using images from intact NSCLC tissue samples measuring up to 5 mm3. The imaging was performed using our custom hybrid open-top light-sheet microscope. This novel method enables us to identify and quantify key histological features such as tumor cells and lymphocytes within the tumor microenvironment. In addition, machine learning driven algorithms clustered cells into distinct tissue regions in 3D which enables a more precise assessment of disease state and heterogeneity. Further investigation is ongoing to link these results to patient outcomes.

Resolving the gene expression maps of human first-trimester chorionic villi with spatial transcriptome.

The placenta is important for fetal development in mammals, and spatial transcriptomic profiling of placenta helps to resolve its structure and function. In this study, we described the landscape of spatial transcriptome of human placental villi obtained from two pregnant women at the first trimester using the modified Stereo-seq method applied for paraformaldehyde (PFA) fixation samples. The PFA fixation of human placenta villi was better than fresh villi embedded in optimum cutting temperature (OCT) compound, since it greatly improved tissue morphology and the specificity of RNA signals. The main cell types in chorionic villi such as syncytiotrophoblasts (SCT), villous cytotrophoblasts (VCT), fibroblasts (FB), and extravillous trophoblasts (EVT) were identified with the spatial transcriptome data, whereas the minor cell types of Hofbauer cells (HB) and endothelial cells (Endo) were spatially located by deconvolution of scRNA-seq data. We demonstrated that the Stereo-seq data of human villi could be used for sophisticated analyses such as spatial cell-communication and regulatory activity. We found that the SCT and VCT exhibited the most ligand-receptor pairs that could increase differentiation of the SCT, and that the spatial localization of specific regulons in different cell types was associated with the pathways related to hormones transport and secretion, regulation of mitotic cell cycle, and nutrient transport pathway in SCT. In EVT, regulatory pathways such as the epithelial to mesenchyme transition, epithelial development and differentiation, and extracellular matrix organization were identified. Finally, viral receptors and drug transporters were identified in villi according to the pathway analysis, which could help to explain the vertical transmission of several infectious diseases and drug metabolism efficacy. Our study provides a valuable resource for further investigation of the placenta development, physiology and pathology in a spatial context.

Example for process validation in biobanking: Fit for purpose testing of a cryopreservation method without isopentane.

Background: The freezing process of tissue samples is crucial for the preservation of morphological and molecular features. Several biobanking guidelines describe freezing techniques for optimal outcomes. As the Vetbiobank standard freezing protocol does not comply with those recommendations in detail, a process validation was performed to demonstrate that samples are suitable for downstream applications. Here we give a formal example of a process validation in the biobanking setting, as required by the biobanking guideline ISO 20387 (2018). Methods: Three different freezing protocols, freezing in liquid nitrogen, freezing via isopentane precooled on dry ice and freezing via liquid nitrogen vapor, were assessed based on morphological integrity of mouse liver and muscle tissue samples. Samples were either frozen in cryotubes (without Optimal Cutting Temperature compound, OCT) or in cryomolds (with OCT). The protocol providing the best results was validated for reproducibility and robustness in terms of defined acceptance criteria for morphological evaluability, A260/A280 ratio, and RNA integrity number values (RIN). In addition, performance tests were run by gene expression analyzes of selected, tissue specific biomarkers to confirm that processed samples are fit for purpose. Results: From the three applied freezing protocols, freezing in liquid nitrogen generated best results. Reproducibility acceptance criteria were met for both, morphological integrity and RNA quality. The freezing method was robust for the tested tissue types and the application of OCT, with exception of liver tissue, where it led to a significant decrease of the RIN value. Gene expression analyzes showed good comparability of results regardless of the applied freezing method. Conclusion: Freezing of tissue samples in liquid nitrogen provides samples of adequate quality for subsequent RNA investigations. A negative impact of OCT on the RIN value of liver samples was observed, which was independent from the applied freezing protocol and showed no impact on subsequent gene expression analysis.

Topical Losartan and Corticosteroid Additively Inhibit Corneal Stromal Myofibroblast Generation and Scarring Fibrosis After Alkali Burn Injury.

PurposeTo evaluate the efficacy of losartan and prednisolone acetate in inhibiting corneal scarring fibrosis after alkali burn injury in rabbits.MethodsSixteen New Zealand White rabbits were included. Alkali injuries were produced using 1N sodium hydroxide on a 5-mm diameter Whatman #1 filter paper for 1 minute. Four corneas in each group were treated six times per day for 1 month with 50 µL of (1) 0.2 mg/mL losartan in balanced salt solution (BSS), (2) 1% prednisolone acetate, (3) combined 0.2 mg/mL losartan and 1% prednisolone acetate, or (4) BSS. Area of opacity and total opacity were analyzed in standardized slit-lamp photos with ImageJ. Corneas in both groups were cryofixed in Optimal cutting temperature (OCT) compound at 1 month after surgery, and immunohistochemistry was performed for alpha-smooth muscle actin (α-SMA) and keratocan or transforming growth factor β1 and collagen type IV with ImageJ quantitation.ResultsCombined topical losartan and prednisolone acetate significantly decreased slit-lamp opacity area and intensity, as well as decreased stromal myofibroblast α-SMA area and intensity of staining per section and confined myofibroblasts to only the posterior stroma with repopulation of the anterior and mid-stroma with keratocan-positive keratocytes after 1 month of treatment. Corneal fibroblasts produced collagen type IV not associated with basement membranes, and this production was decreased by topical losartan.ConclusionsCombined topical losartan and prednisolone acetate decreased myofibroblast-associated fibrosis after corneal alkali burns that produced full-thickness injury, including corneal endothelial damage. Increased dosages and duration of treatment may further decrease scarring fibrosis.Translational RelevanceTopical losartan and prednisolone acetate decrease myofibroblast-mediated scarring fibrosis after corneal injury.

Abstract 1887: Discrimination of aggressive tumor profiles in lung adenocarcinomas using activity based protein profiling by SWATH/DIA-MS mode

Abstract (a) Activity-based proteome profiling (ABPP) probes combined with mass spectrometry (MS) is the tool of functional proteomics for the quantification of catalytically active enzymes. Here, we applied a depletion-dependent ABPP for serine hydrolase (SH) profiling in 30-μm thickness cryosections of optimal-cutting-temperature (OCT)-embedded tissue of advanced lung adenocarcinomas (LUAD). (b) For the proof-of-concept, we profiled SH activities in advanced LUAD disease. We retrospectively analyzed hydrolase activity differences with prognostic values related to aggressive phenotype based on clinical data collected over the course of disease progression. Interestingly, detection of proteins correlating by active-enzyme capture uncover their functional links with the metabolic SHs related to the enhanced palmitoylation-depalmitoylation cycle of lipoproteins in aggressive LUAD. In contrast, the standard DDA-MS analysis of on-bead-depleted enzymes detected 95 SH’s of which less than 60 enzymes were quantified based on spectral counting. (c) We found enhanced activities of dozen SHs in all LUAD tumors. Remarkably, the activity of 11 hydrolases emphasized by IAH1, ABHD12, LYPLA2 and MST1 discriminate aggressive tumors at the time of diagnosis. Functional analysis leveraging enzymes and associated co-depleted proteins revealed catabolic processing of lipoproteins and enrichment of enzymes displaying increased de-palmitoylase activities. This is interesting because multiple isoforms of RAS protein (K-RAS, H-RAS and N-RAS), the most frequently mutated oncogene in human cancers including LUAD (i.e. 30% of LUADs contain somatic K-Ras mutation), attain oncogenic properties only in depalmitoylated state which favor protein intracellular trafficking by detachment from hydrophobic plasma membrane. In line, mutant K-Ras protein co-localize on outer mitochondrion membrane and interact with glycolytic enzymes (hexokinase-1 and -2) only in depalmitoylated state. This interaction induce K-Ras oncogenic properties and increased glucose uptake and glycolysis even in the presence of abundant oxygen (Warburg effect). Curiously, we observed co-depletion of mitochondrial proteins including glycolytic hexokinase 2 with several lipases displaying increase depalmitoylase activity in short LUAD survivals. (d) Surprisingly, an evident disagreement in the activity of enzymes involved in lipolysis and protein depalmitoylation (i.e. IAH1, ABHD12, LYPLA2) was discovered between LUAD survival subtypes. These essential metabolic differences were uncovered by our standard proteomic analysis and to our knowledge have not been reported. Since the inhibitors of serine lipases are promising targets in other RAS-mutant carcinomas, this metabolic vulnerabilities discovered in aggressive LUAD can be explored as promising therapeutic strategies in lung cancer. Citation Format: Tatjana Sajic, Stephan Arni, Rudolf Aebersold, Sven Hillinger. Discrimination of aggressive tumor profiles in lung adenocarcinomas using activity based protein profiling by SWATH/DIA-MS mode [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1887.

Abstract 2202: Contiguous airway sampling for basal cell isolation

Abstract Introduction: Airway basal cells isolated from histologically normal epithelium in current and former smokers demonstrate a significantly higher mutation burden than those in never-smokers. However, a proportion of basal cells with lower (“near normal”) mutation burden are observed, which show preferential expansion in response to smoking cessation(1). We believe this expansion represents a “cancer protective” process, reducing the risk of future malignancy. However, mechanisms determining the dynamic balance of high versus low mutant basal cells throughout the bronchial tree are unclear. We have developed protocols that enable systematic scanning of airway epithelium in resected lung specimens, through which we aim to elucidate the mutation burden and spatial clonal architecture across contiguous regions of normal epithelium through the bronchial tree. Study design: 5-10 current or former smokers undergoing curative lobectomy for peripheral lung cancer with histologically normal airways will be consented to the study. To date, two participants have donated their samples. Fresh lobectomies were collected at the point of resection and kept on wet ice until pathological examination. All samples undergo examination within 1 hour of resection. The lobe is orientated, and the tumour and segmental bronchi identified. A sterile metal cannula is inserted through the airway lumen and sterile pathology scissors are used to carefully isolate the airways from the surrounding parenchyma. Upon macro-dissection, airway branches are immediately placed into transport media containing antibiotics. Samples are gently washed using transport media to remove residual blood, then sectioned into 1 cm3 segments, which are orientated, embedded and frozen in room-temperature Optimal Cutting Temperature compound. An 8 μM section is cut and stained with haematoxylin and eosin from each block immediately after a “full-face” tissue confirmation is observed.These will be used as guiding slides for laser capture microdissection of the regions of epithelium prior to downstream sequencing pathway. Conclusion: We have developed a pathological approach in which we can define somatic mutations in normal epithelium along the bronchial tree. We will use these data to determine basal cell clonal relationships and interpret these in a spatial context, creating a more detailed map of the smoking-induced changes that occur in the airway epithelium and how these may contribute to early carcinogenesis.

Anatomical and Molecular Phenotypes of Fast and Slow Vagal Targets in the Intrinsic Cardiac Nervous System

The vagus nerve coordinates the communication between the brain and most of the visceral organs. Vagus nerve activity is critical to promote cardiac health and cardioprotective response in heart failure. The vagal motor outflow involves two nuclei, the nucleus ambiguous (NA) and the dorsal motor nucleus of the vagus (DMV). NA acts via nicotinic cholinergic processes to elicit fast kinetics of the intrinsic cardiac nervous system (ICN) response at the heart. By contrast, the DMV influences the ICN neurons via muscarinic cholinergic processes yielding slower kinetics of response. Interestingly, NA and DMV project to distinct neuronal populations in the ICN, providing an anatomical basis for the fast versus slow vagal action on the heart. We aim to delineate the ICN neuronal network mediating the two lanes of vagal inputs for regulating distinct cardiac functions with lane‐specific transcriptomic identities of ICN neuron targets. We performed immunohistochemistry (IHC) on the rat heart tissue sections embedded in the optimal cutting temperature (OCT) followed by confocal microscopy imaging. We found that while the ICN neurons express muscarinic and nicotinic acetylcholine receptors (AChRs) broadly across the ICN, with several neurons predominantly expressing either muscarinic or nicotinic AChRs. We used Laser Capture Microscopy (LCM) to acquire neurons that predominantly express muscarinic or nicotinic AChRs. We are profiling the transcriptomic identities of these LCM‐captured neuron classes. Our results suggest that mAChR‐only and nAChR‐only neurons differentially express neuromodulatory processes, including receptors, neurotransmitter synthesis enzymes, and neuropeptides. Further, we incorporate a systems approach combining spatial single‐cell transcriptomics, neuronal network modeling, and physiological control systems modeling to identify selective targets for novel neuromodulatory interventions that improve heart health.

Sectioning and Counting of Motor Neurons in the L3 to L6 Region of the Adult Mouse Spinal Cord.

Histology is the study of the microscopic structure of tissues. This protocol permits the generation of frozen transverse sections of lumbar spinal cord regions L3 to L6. It enables counting of murine ventral horn lumbar motor neurons in a reproducible manner. Methods include spinal column dissection, hydraulic extrusion, and histological processing. The preparation for cryo-sectioning includes embedding lumbar spinal cord in optimal cutting temperature (OCT) medium. The correct orientation of the tissue is critical as calculating the amount of tissue to discard saved time overall. Specific details regarding section thickness and mounting are described. These requirements not only allow optimum coverage of specific regions but also ensure that no individual motor neuron was counted twice. The Nissl bodies of the motor neurons were stained using gallocyanin. The sections obtained are all of a comparable area and quality assurance is consistent. The specificity of the staining enables the scientist to identify and reliably quantify lumbar motor neurons. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Euthanasia of mouse and isolation of spinal cord Basic Protocol 2: Hydraulic extrusion of the spinal cord Basic Protocol 3: Identification of the lumbar region Basic Protocol 4: Embedding cord in OCT Basic Protocol 5: Collection of frozen sections onto slides Basic Protocol 6: Gallocyanin staining Basic Protocol 7: Motor neuron counting.

Performance Comparison of Two Cryosection Embedding Agents Used for Desorption Electrospray Ionization Mass Spectrometry Imaging

To evaluate the potential effect of embedding with carboxylmethyl cellulose (CMC) and embedding with optimal cutting temperature (OCT) compound followed by washing with PBS (OCT-W) on the analysis of breast cancer tissue samples with desorption electrospray ionization mass spectrometry imaging (DESI-MSI). DESI-MSI of fresh frozen (FF) tissue samples, OCT-embedded samples, CMC-embedded samples, and OCT-W samples from the same breast cancer tumor tissue were performed. The ratio of maximum abundance ion was used to assess the reproducibility of DESI-MSI analysis. In addition, the effects of the treatment of each group were examined by comparing the characteristic ion species and the ion signal intensity detected by DESI-MSI. DESI-MSI of continuous sections of FF samples showed that the coefficient of variation (CV) of the pair-to-pair ratios of m/ z 281.25, m/ z 309.28 and m/ z 279.23 ions, the three ions with the highest intensity in the tumor region, were 19.61%, 20.74% and 10.18%, respectively. The characteristic ion species detected by DESI-MSI of CMC embedded tissue and the OCT-W tissue were almost the same, compared with those of the FF tumor tissue. However, ion species detected in OCT embedded samples were less than 50% of the FF samples. In terms of ion signal intensity, the CMC embedded tissue was not affected overall, while the signal of most of the characteristic ions of the OCT-W group showed decreased intensity (P<0.05). FF tissue sections and CMC-embedded samples can be used for DESI-MSI routine analysis. OCT embedding affects the feasibility of sample analysis whether or not the sample undergoes washing with PBS. CMC embedding agent is recommended if the tissue sections need to be fixated and supported due to small sample size, fragility, or other problems.

Assessing the quality of RNA isolated from human breast tissue after ambient room temperature exposure.

High quality human tissue is essential for molecular research, but pre-analytical conditions encountered during tissue collection could degrade tissue RNA. We evaluated how prolonged exposure of non-diseased breast tissue to ambient room temperature (22±1°C) impacted RNA quality. Breast tissue received between 70 to 190 minutes after excision was immediately flash frozen (FF) or embedded in Optimal Cutting Temperature (OCT) compound upon receipt (T0). Additional breast tissue pieces were further exposed to increments of 60 (T1 = T0+60 mins), 120 (T2 = T0+120 mins) and 180 (T3 = T0+180 mins) minutes of ambient room temperature before processing into FF and OCT. Total exposure, T3 (T0+180 mins) ranged from 250 minutes to 370 minutes. All samples (FF and OCT) were stored at -80°C before RNA isolation. The RNA quality assessment based on RNA Integrity Number (RIN) showed RINs for both FF and OCT samples were within the generally acceptable range (mean 7.88±0.90 to 8.52±0.66). No significant difference was observed when RIN at T0 was compared to RIN at T1, T2 and T3 (FF samples, p = 0.43, 0.56, 0.44; OCT samples, p = 0.25, 0.82, 1.0), or when RIN was compared between T1, T2 and T3. RNA quality assessed by quantitative real-time PCR (qRT-PCR) analysis of beta-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), cyclophilin A (CYPA), and porphobilinogen deaminase (PBGD) transcripts showed threshold values (Ct) that indicate abundant and intact target nucleic acid in all samples (mean ranging from 14.1 to 25.3). The study shows that higher RIN values were obtained for non-diseased breast tissue up to 190 minutes after resection and prior to stabilization. Further experimental exposure up to 180 minutes had no significant effect on RIN values. This study strengthens the rationale for assessing RIN and specific gene transcript levels as an objective method for determining how suitable RNA will be for a specific research purpose (“fit-for purpose”).

Technical Note: Histological validation of anatomical imaging for breast modeling using a novel cryo-microtome.

Precise correlation between three-dimensional (3D) imaging and histology can aid biomechanical modeling of the breast. We develop a framework to register ex vivo images to histology using a novel cryo-fluorescence tomography (CFT) device. A formalin-fixed cadaveric breast specimen, including chest wall, was subjected to high-resolution magnetic resonance (MR) imaging. The specimen was then frozen and embedded in an optimal cutting temperature (OCT) compound. The OCT block was placed in a CFT device with an overhead camera and 50μm thick slices were successively shaved off the block. After each shaving, the block-face was photographed. At select locations including connective/adipose tissue, muscle, skin, and fibroglandular tissue, 20μm sections were transferred onto cryogenic tape for manual hematoxylin and eosin staining, histological assessment, and image capture. A 3D white-light image was automatically reconstructed from the photographs by aligning fiducial markers embedded in the OCT block. The 3D MR image, 3D white-light image, and photomicrographs were rigidly registered. Target registration errors (TREs) were computed based on 10 pairs of points marked at fibroglandular intersections. The overall MR-histology registration was used to compare the MR intensities at tissue extraction sites with a one-way analysis of variance. The MR image to CFT-captured white-light image registration achieved a mean TRE of 0.73 ± 0.25mm (less than the 1 mm MR slice resolution). The block-face white-light image and block-face photomicrograph registration showed visually indistinguishable alignment of anatomical structures and tissue boundaries. The MR intensities at the four tissue sites identified from histology differed significantly (p<0.01). Each tissue pair, except the skin-connective/adipose tissue pair, also had significantly different MR intensities (p<0.01). Fine sectioning in a highly controlled imaging/sectioning environment enables accurate registration between the MR image and histology. Statistically significant differences in MR signal intensities between histological tissues are indicators for the specificity of correlation between MRI and histology.

An efficient and user-friendly method for cytohistological analysis of organoids.

Organoid culture is a recently developed in vitro three-dimensional (3D) cell culture technology. It has wide applications in tissue engineering studies. However, histological analysis of organoid is quite complex and tedious for researchers. This study proposes a user-friendly, affordable and efficient method for making formalin-fixed paraffin embedded (FFPE) organoid blocks and Optimal Cutting Temperature compound (OCT) embedded frozen organoid blocks. This method implements a key pre-embedding step for preparing paraffin embedded organoid blocks, which could concentrate organoid together without damaging or loss of samples. This method could be used to process even a small number of organoids with high efficiency. In addition, with minor modifications, the method is readily applied for OCT embedded organoid blocks. The slides generated were ready for H&E staining, immunohistochemistry staining and immunofluorescent staining. The method described in this study can be easily used for routine histological analysis of organoid, and could be performed in general pathology labs and requires no dedicated equipment and reagent.

Spatially resolved metabolomic characterization of muscle invasive bladder cancer by mass spectrometry imaging.

Muscle invasive bladder cancer (MIBC) is an advanced stage of bladder cancer which poses a severe threat to life. Cancer development is usually accompanied by remarkable alterations in cell metabolism, and hence deep insights into MIBC at the metabolomic level can facilitate the understanding of the biochemical mechanisms involved in the cancer development and progression. In this proof-of-concept study, the optimal cutting temperature (OCT)-embedded MIBC samples were first washed with pure water to remove the polymer compounds which could cause severe signal suppression during mass spectrometry. Further, the tissue sections were analyzed by infrared matrix-assisted laser desorption electrospray ionization mass spectrometry imaging (IR-MALDESI MSI), providing an overview on the spatially resolved metabolomic profiles. The MSI dataenabled the discrimination between not only the cancerous and normal tissues, but also the subregions within a tissue section associated with different disease states. Using t-Distributed Stochastic Neighbor Embedding (t-SNE), the hyperdimensional MSI data was mapped into a two-dimensional space to visualize the spectral similarity, providing evidence that metabolomic alterations might have occurred outside the histopathological tumor border. Least absolute shrinkage and selection operator (LASSO) was further employed to classify sample pathology in a pixel-wise manner, yielding excellent prediction sensitivity and specificity up to 96% based on the statistically characteristic spectral features. The results demonstrate great promise of IR-MALDESI MSI to identify molecular changes derived from cancer and unveil tumor heterogeneity, which can potentially promote the discovery of clinically relevant biomarkers and allow for applications in precision medicine.

Abstract 2172: Proteogenomics of laser microdissected difficult-to-treat breast cancers identifies Basal and Her2 patients associated with outcome differences

Abstract Introduction: Breast cancer (BC) is the second most common cause of cancer death among women in the USA. Recent proteogenomic studies of human BC have identified many potential therapeutic biomarkers for the most common types of BC. Here, we strive to comprehensively understand the proteogenomic landscape of difficult-to-treat breast cancer (DTBC) tumors. Methods: 118 primary breast tumors, with a focus on DTBC patients, were selected from the IRB-approved protocol. The study cohort included 30 triple negative, 16 HER2+, 16 Luminal A, 39 Luminal B1, and 17 Luminal B2 selected by immunohistochemistry. Breast tumors were embedded in OCT (Optimum Cutting Temperature) and processed by laser microdissection (LMD) to remove non-tumorous tissue. DNA, RNA, and protein were simultaneously extracted from each tumor using the illustra triplePrep kit. Paired-end RNA sequencing and whole genome sequencing (WGS) were performed for 118 and 100 tumors, respectively, using the Illumina HiSeq platform. Quantitative global proteomics and phosphoproteomic analyses were performed on 113 and 50 tumors, respectively, using isobaric TMT 6-plex labeling with the “universal reference” strategy. Results: Unlike other BC cohorts, our WGS cohort had an almost equal number of Estrogen(ER)+ (55.6%) and ER- (44.4%) cases, which gave us a nominally higher percentage TP53 (57%) and lower PIK3CA (32%) non-silent somatic mutation. Similar to previous reports, GATA3 was mutated in 13% of only ER+ cases. Unlike a recent report on proteomics clustering of bulk-processed tumors, our data show that a stromal-enriched cluster was not mixed with all subtypes but a majority of Luminal A (LumA) subtype, probably because LMD excluded stromal components in other tumor subtypes. Consensus clustering of proteomics data separated intrinsic Her2 patients with outcome differences. Her2 patients associated with the Basal-enriched proteome cluster had better survival than those associated with the LumA-enriched proteome cluster. Previously reported marker PGK1, a predictor for poor survival in BC, was upregulated in Her2 tumors associated with the LumA-enriched proteome cluster. The clustering of phosphoproteomics data separated intrinsic Basal patients into groups with and without relapse. We identified 3 and 18 genes with upregulated kinase activities in the relapse-free and relapsed Basal patients, respectively. In conclusion, this study provides a high-quality proteogenomic resource for DTBC investigation and identifies potential molecular markers for predicting outcomes for patients with less responsive tumors. The views expressed in this abstract are solely of the authors and do not reflect the official policy of the Departments of Army/Navy/Air Force, DoD, USUHS, HJF. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. Citation Format: Praveen-Kumar Raj-Kumar, Tao Liu, Lori A. Sturtz, Albert J. Kovatich, Marina A. Gritsenko, Vladislav A. Petyuk, Brenda Deyarmin, Jianfang Liu, Anupama Praveen-Kumar, Jason E. McDermott, Anil K. Shukla, Ronald J. Moore, Matthew E. Monroe, Bobbie-Jo M. Webb-Robertson, Jeffrey A. Hooke, Leigh Fantacone-Campbell, Leonid Kvecher, Jennifer Kane, Jennifer Melley, Stella Somiari, Stephen C. Benz, Justin Golovato, Shahrooz Rabizadeh, Patrick Soon-Shiong, Richard D. Smith, Richard J. Mural, Karin D. Rodland, Craig D. Shriver, Zhaoyu Li, Hai Hu. Proteogenomics of laser microdissected difficult-to-treat breast cancers identifies Basal and Her2 patients associated with outcome differences [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2172.