A framework for interdisciplinary understanding of rivers as ecosystems

Understanding and managing the behaviour of rivers as ecosystems requires holistic, interdisciplinary approaches. However, we lack appropriate frameworks to guide interdisciplinary thinking because disciplinary paradigms lose their usefulness in the interdisciplinary arena. Conceptual frameworks are useful tools with which to order phenomena and material, thereby revealing patterns and processes. A framework for the interdisciplinary study of river ecosystems is presented in this paper. The framework presents parallel hierarchies in the geomorphology, hydrology and ecology of a river with different organizational elements and levels of organization for each discipline. It assigns spatial and temporal scales for each level of organization for the different discipline hierarchies whereby different parts can be distinguished by different frequencies of occurrence and/or rates of change. Integration of the different disciplines, within the context of a particular study, is represented by a flow-chain model that describes process interactions that can change an ecosystem from one state (a template) of biophysical heterogeneity to another (a product). The framework concept is applied by first describing in detail the relevant organizational levels that characterize the different subsystems of the river ecosystem in the context of the problem being addressed. This is followed by the identification of appropriate scales and variables within the different organizational levels. Then the interactions with the products of template/agent of change/controller interactions that may account for any feedback influences are described. A series of examples is provided to illustrate the use of the framework in various interdisciplinary settings

PieParty: Visualizing cells from scRNA-seq data as pie charts

Abstract Single cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions in order for cells to be clustered in biologically meaningful ways. Subsequently, gene expression is frequently mapped onto these plots to show the distribution of gene expression across the plots, for instance to distinguish cell types. However, plotting each cell with only one color leads to repetitive and unintuitive representations. Here, we present Pie Party, which allows scRNA-seq data to be plotted such that every cell is represented as a pie chart, and every slice in the pie charts corresponds to the gene expression of individual genes. This allows for the simultaneous visualization of the expression of multiple genes and gene networks. The resulting figures are information dense, space efficient and highly intuitive. PieParty is publicly available on GitHub at https://github.com/harbourlab/PieParty. Competing Interest Statement The authors have declared no competing interest. Footnotes * ↵☩ Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, FL, USA. * https://github.com/harbourlab/PiePart

Abstract 2764: Mechanisms of genomic-microenvironmental interactions in uveal melanoma

Abstract Uveal melanoma (UM) is the most common primary eye cancer and has a high rate of metastasis with liver tropism. UM can be stratified according to metastatic risk into low risk Class 1 and high risk Class 2 tumor. Biallelic mutational inactivation of the tumor suppressor BAP1 is the quintessential molecular feature of Class 2 UM, but the mechanism by which loss of BAP1 leads to metastasis is poorly understood. We recently showed using single-cell RNA sequencing that the tumor microenvironment of primary and metastatic Class 2 UM is characterized by large numbers of inhibitory T cells and macrophages. Taken together, these findings led us to hypothesize that loss of BAP1 triggers changes in tumor-immune cell interactions that lead to an immunosuppressive microenvironment. To test this hypothesis, we performed RNA-seq and proteomic mass spectrometry in uveal melanocytes and UM cells engineered to lack BAP1 expression. These experiments identified a small cassette of immune modulatory genes that are up-regulated at the mRNA and protein levels following BAP1 loss. These proteins are known to drive monocytes towards type 2 macrophage polarization, which secrete cytokines that can inhibit T cell activation. Our findings suggest that altered interaction between UM cells and monocytes may be key to the emergence of metastatic competence in UM, and we are exploring this possibility with function experiments that may open the door to targeted therapy to subvert this process. Citation Format: Christopher J. Kaler, James J. Dollar, Stefan Kurtenbach, Jeffim N. Kuznetsov, Michael A. Durante, J. William Harbour. Mechanisms of genomic-microenvironmental interactions in uveal melanoma [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 2764

Single Genome Sequencing of Expressed and Proviral HIV-1 Envelope Glycoprotein 120 (gp120) and nef Genes.

The current study provides detailed protocols utilized to amplify the complete HIV-1 gp120 and nef genes from single copies of expressed or integrated HIV present in fresh-frozen autopsy tissues of patients who died while on combined antiretroviral therapy (cART) with no detectable plasma viral load (pVL) at death ( Lamers et al., 2016a and 2016b; Rose et al., 2016 ). This method optimizes protocols from previous publications ( Palmer et al., 2005 ; Norström et al., 2012 ; Lamers et al., 2015 ; 2016a and 2016b; Rife et al., 2016 ) to produce single distinct PCR products that can be directly sequenced and includes several cost-saving and time-efficient modifications

PieParty: visualizing cells from scRNA-seq data as pie charts

Single-cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions for cells to be clustered in biologically meaningful ways. Subsequently, gene expression is frequently mapped onto these plots to show the distribution of gene expression across the plots, for instance to distinguish cell types. However, plotting each cell with only a single color leads to repetitive and unintuitive representations. Here, we present PieParty, which allows scRNA-seq data to be plotted such that every cell is represented as a pie chart, and every slice in the pie charts corresponds to the gene expression of a single gene. This allows for the simultaneous visualization of the expression of multiple genes and gene networks. The resulting figures are information dense, space efficient, and highly intuitive. PieParty is publicly available on GitHub at https://github.com/harbourlab/PieParty

Multiple genetically distinct uveal melanomas arise in the same eye of two patients with melanosis oculi

To determine whether unilateral multifocal uveal melanomas (UM) in the setting of ocular melanosis (melanosis oculi) represent genetically independent tumors. Clinical case series. Two patients with unilateral multifocal UM in the setting of melanosis oculi were included. Tumors were evaluated for gene expression profile (GEP) and next generation sequencing (NGS) for uveal melanoma-associated mutations. Histopathologic analysis of enucleated specimens was also performed when available. Patients were both female, ages 73 and 83 years. In Patient #1, the tumors both exhibited Class 2 GEP but each harbored a unique BAP1 mutation. In Patient #2, one tumor was Class 1 and harbored an SF3B1 mutation, whereas the other tumor was Class 2 and harbored a BAP1 mutation. Unilateral multifocal UM in the setting of melanosis oculi can arise due to the development of genetically independent primary tumors, which is detectable based on the mutation profile of each tumor. This is the first report of genetically-confirmed independent primary tumors in the setting of unilateral multifocal UM