Faculty Bibliography

Disruption of systemic homeostasis by either chronic or acute stressors, such as obesity¹ or surgery², alters cancer pathogenesis. Patients with cancer, particularly those with breast cancer, can be at increased risk of cardiovascular disease due to treatment toxicity and changes in lifestyle behaviors^3-5. While elevated risk and incidence of cardiovascular events in breast cancer is well established, whether such events impact cancer pathogenesis is not known. Here we show that myocardial infarction (MI) accelerates breast cancer outgrowth and cancer-specific mortality in mice and humans. In mouse models of breast cancer, MI epigenetically reprogrammed Ly6C^hi monocytes in the bone marrow reservoir to an immunosuppressive phenotype that was maintained at the transcriptional level in monocytes in both the circulation and tumor. In parallel, MI increased circulating Ly6C^hi monocyte levels and recruitment to tumors and depletion of these cells abrogated MI-induced tumor growth. Furthermore, patients with early-stage breast cancer who experienced cardiovascular events after cancer diagnosis had increased risk of recurrence and cancer-specific death. These preclinical and clinical results demonstrate that MI induces alterations in systemic homeostasis, triggering cross-disease communication that accelerates breast cancer.

In-situ hybridization (ISH) analysis is a highly desirable, versatile approach for assessing biomarker expression status in a spatial context. Most researchers rely on immunostaining (protein targets) or qPCR (mRNA). However, not all proteins can be immunolabeled due to a lack of well-validated antibodies. The qPCR approach, although highly specific, cannot provide spatial information. RNAscope employs a unique double Z probe that has to bind to the target RNA in tandem in order to be recognized by the preamplifiers and amplifiers. A fluorescent/chromogenic labeled probe then binds to the multiple binding sites of the amplifiers, which improves detection of low expressing RNA and reduces non-specific binding. RNAscope replaces cumbersome radioactive and chromogenic ISH with more hassle-free chromogen and fluorescence-labelled probes. At the NYULMC Experimental Pathology Core we have integrated RNAscope with Polaris multispectral imaging and quantitative analysis using different software platforms. About 21 laboratories have used this workflow to address their specific questions. We have also established and validated the newer BaseScopeTM assay. In contrast to RNAscope, which targets lncRNA and mRNA sequences greater than 300nt, BaseScopeTM enables detection of short RNA target sequences between 50-300nt. It can be used to detect exon junctions/splice variants, circular RNA, pre-miRNA, and point mutations. We adapted BaseScopeTM to co-detect circular RNA and its linear counterpart in a differentiating cell population, which could not be established on glass chamber slides and had to be stained on a plastic petri dish. In conclusion, RNAscope and BaseScopeTM RNA-ISH are powerful alternative strategies for assessing the spatial distribution of critical biomarkers within intact tissues and cells. This approach coupled with sophisticated imaging modalities and downstream analysis support provides new collaborative opportunities for Core aboratories.
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A subset of B cell acute lymphoblastic leukemia (B-ALL) patients will relapse and succumb to therapy-resistant disease. The bone marrow microenvironment may support B-ALL progression and treatment evasion. Utilizing single-cell approaches, we demonstrate B-ALL bone marrow immune microenvironment remodeling upon disease initiation and subsequent re-emergence during conventional chemotherapy. We uncover a role for non-classical monocytes in B-ALL survival, and demonstrate monocyte abundance at B-ALL diagnosis is predictive of pediatric and adult B-ALL patient survival. We show that human B-ALL blasts alter a vascularized microenvironment promoting monocytic differentiation, while depleting leukemia-associated monocytes in B-ALL animal models prolongs disease remission in vivo. Our profiling of the B-ALL immune microenvironment identifies extrinsic regulators of B-ALL survival supporting new immune-based therapeutic approaches for high-risk B-ALL treatment.

Cardiac pathologies associated with arrhythmic activity are often accompanied by inflammation. The contribution of inflammatory cells to the electrophysiological properties of injured myocardium is unknown. Myocardial scar cell types and intercellular contacts were analyzed using a three-dimensional reconstruction from serial blockface scanning electron microscopy data. Three distinct cell populations were identified: inflammatory, fibroblastic and endocardial cells. While individual fibroblastic cells interface with a greater number of cells, inflammatory cells have the largest contact area suggesting a role in establishing intercellular electrical connections in scar tissue. Optical mapping was used to study the electrophysiological properties of scars in fetal liver chimeric mice generated using connexin43 knockout donors (bmpKO). Voltage changes were elicited in response to applied current pulses. Isopotential maps showed a steeper pattern of decay with distance from the electrode in scars compared with uninjured regions, suggesting reduced electrical coupling. The tissue decay constant, defined as the distance voltage reaches 37% of the amplitude at the edge of the scar, was 0.48 ± 0.04 mm (n = 11) in the scar of the bmpCTL group and decreased 37.5% in the bmpKO group (n = 10). Together these data demonstrate inflammatory cells significantly contribute to scar electrophysiology through coupling mediated at least partially by connexin43 expression.

Plakophilin-2 (PKP2) is classically defined as a component of the desmosome. Besides its role in cell-cell adhesion, PKP2 can modulate transcription through intracellular signals initiated at the site of cell-cell contact. Mutations in PKP2 associate with arrhythmogenic right ventricular cardiomyopathy (ARVC). Recent data demonstrate that inflammation plays a key role in disease progression; other results show an abundance of anti-heart antibodies in patients with confirmed diagnosis of ARVC. Here, we test the hypothesis that, in adult cardiac myocytes, PKP2 transcript abundance is endogenously linked to the abundance of transcripts participating in the inflammatory/immune response. Cardiac-specific, tamoxifen (TAM)-activated PKP2-knockout mice (PKP2cKO) were crossed with a RiboTag line to allow characterization of the ribosome-resident transcriptome of cardiomyocytes after PKP2 knockdown. Data were combined with informatics analysis of human cardiac transcriptome using GTEx. Separately, the presence of non-myocyte cells at the time of analysis was assessed by imaging methods. We identified a large number of transcripts upregulated consequent to PKP2 deficiency in myocytes, inversely correlated with PKP2 abundance in human transcriptomes, and part of functional pathways associated with inflammatory/immune responses. Our data support the concept that PKP2 is transcriptionally linked, in cardiac myocytes, to genes coding for host-response molecules even in the absence of exogenous triggers. Targeted anti-inflammatory therapy may be effective in ARVC.

An increasing number of technologies combine spatial discrimination with molecule identification, as has been done for decades through immunohistochemistry and in situ hybridization. The difference is that now a sleuth of commercially available platforms promises to significantly increase the number of targets that can be identified on a single sample. They also provide higher throughput in terms of number of samples that can be interrogated, and some offer semiautomation with straightforward sample preparation. All these characteristics set up the new spatial profiling technologies as attractive candidates for biomedical research facilities. However, to be able to discriminate between them it is necessary to share real world experiences using them in our cores. This panel session brings together several researchers with hands on experience using two or more spatial profiling technologies. These will include antibody based (Opal/Vectra Polaris, Ultivue, MIBI, Hyperion) and nucleic acid (Visium, GeoMx) based platforms. Each panelist will give a quick overview of the technology, its biochemical principles, costs, advantages and disadvantages as they have identified them and compared them to each other or a gold standard, if available. At the end, we will have an open discussion where the audience is encouraged to ask questions and provide their experiences

Identification of biomarkers is a major goal of personalized medicine. Large transcriptome screens have identified new targets and molecular signatures for disease sub-types. However, tissue spatial information, which fundamentally alters in vivo cell behavior and gene expression, is lost. To understand spatial context and validate bulk tissue screens, most researchers rely exclusively on antibodies and immunostaining assays. Unfortunately, this is either not the appropriate choice for some targets, such as long non-coding RNAs, or it is not feasible because no reliable antibodies exist. To address these issues, we have established an alternative work-flow incorporating RNA in situ hybridization (CISH and FISH), whole slide and/or multispectral scanning and image analysis. Methods: RNAscope technology; Leica SCN scanner or Vectra3 multispectral imaging system for image acquisition; ImageJ2/FIJI, R, InForm and Visiopharm software platforms for quantitative analysis. Results: Several laboratories have used this workflow to address their specific questions. For example, we established and validated RNAscope assays for signaling factor transcripts, which are now integrated into an ongoing clinical trial. In this case, all tested commercial antibodies failed the validation assay. We also assessed expression of LNC RNAs in prostate cancer and put in place protocols for normalizing probe quantification across samples. The analysis revealed that storage and/or sample preparation affected the detection of certain LNC RNAs more than others identifying important factors regarding banking specimens. Spatial heat map visualization of RNAscope probes revealed an unexpected distribution of inflammatory cytokine targets in the kidney which are now being further investigated. In conclusion, RNA ISH is a powerful alternative strategy for assessing the spatial distribution of specific cell populations and critical biomarkers within intact tissues. This approach coupled with sophisticated imaging modalities and downstream analysis support provides new collaborative opportunities for Core laboratories.

Several modalities of multiplex immunofluorescence histology currently available require significant time and resources to implement. Many research laboratories develop questions benefiting from multiplex staining and analysis but do not have the human resources and/or equipment to perform the assay. Furthermore, pilot studies use similar metrics to evaluate multiplex histology data making them ideal for a core laboratory setup. The objective of this study was to establish a semi-automated workflow for multiplex immunofluorescence staining and initial quantification of cell populations in whole slide microscopy scans. The requirements for the workflow included: A. minimal transfer of decision making from the researcher to core personnel (Semi-Automation), B. modifiable in terms of antigen targets and tissue types with minimal disruption to the process and C. reproducible across samples submitted at different time periods (eg patient samples).

Background/Purpose : T and B cells come together in ectopic lymphoid aggregates in myositis, suggesting that local T:B cell interactions could play a role in disease. T follicular helper cells are increased in circulation in patients with active myositis. We studied circulating Tfh cells from myositis patients using single-cell RNA-sequencing and examined the proximity of Tfh cells to B cells in patient biopsies. Methods : Tfh cells [CD3 + CXCR5 + PD-1 + CXCR3 neg and CD3 + CXCR5 + PD-1 + CXCR3 pos ] cells were sorted from peripheral blood and subsets were identified by chemokine markers to designate Tfh1 and Tfh2/17 cell subsets. RNA sequencing was performed on individual cells of (3 controls and 3 myositis patients) using Fluidigm C1 HT platform, and data were analyzed using a pseudo-temporal ordering using Monocle. Biopsies were stained using the OPAL standardized sequential immunofluorescence method for PD-1, CXCR5, CD19, and CD4 in human muscle, and machine learning was used to map proximity of B cells to all T-cells compared with Tfh cells. Results : We found various subsets within the Tfh pool, corresponding to Tfh1 and Tfh2/17 cells and some cells that looked to be transitioning between states. Tfh2/17 were enriched in myositis patients vs. controls. The Tfh2/17 cells demonstrated a type I interferon signature, while the Tfh1 cells had a type II interferon and proteasome signature. In tissue, we demonstrate Tfh cells in close proximity to B cells in lymphoid aggregates. Conclusion : Tfh cells are present in myositis biopsies juxtaposed to B cells, suggesting productive T:B interactions in the tissue. Tfh subsets in blood from patients demonstrate distinct pathological signatures when compared to controls