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Biology subjects

Brouwer, C.

Publications and source records attributed to Brouwer, C..

5 recordsLinked to original sources

Real-time mass-resolved label-free single-molecule immunoassay

Protein-protein interactions govern the biomolecular logic of immunity, signalling, and disease. Elementary rates of association, dissociation, and inhibition underpin our understanding of life processes and remain a limiting factor at the frontier of therapeutic discovery. Yet existing assays infer these processes indirectly through ensemble-averaged signals or molecular labels that obscure native dynamics. Here, we introduce a label-free, real-time, mass-resolved single-molecule immunoassay based on interferometric scattering microscopy (iSCAT) that directly observes individual protein-protein binding events in complex biological samples. By detecting light scattered from single proteins as they bind to an antibody-functionalized surface, we resolve discrete antibody-antigen interactions with single-molecule sensitivity and molecular-weight discrimination. Using IgM as a model system, we demonstrate real-time detection of individual binding events, with measured association rates that scale linearly with concentration over three orders of magnitude. Direct counts of IgM binding events in human serum yield quantitative concentrations that agree with bulk measurements obtained by enzyme-linked immunosorbent assay (ELISA). This bioaffinity iSCAT platform unifies molecular specificity, label-free detection, real-time kinetics, and mass-resolved single-molecule sensitivity, enabling direct access to protein-protein recognition processes and establishing a general framework for quantitative, single-molecule immunoassays.

biophysics↗

Overexpression of MUC1 influences the anti-proliferative effect of STAT3-inhibitor Napabucasin in epithelial cancers.

MUC1 is a transmembrane glycoprotein that is overexpressed and aberrantly glycosylated in epithelial cancers. The cytoplasmic tail of MUC1 (MUC1 CT) aids in tumorigenesis by upregulating the expression of multiple oncogenes. Signal transducer and activator of transcription 3 (STAT3) plays a crucial role in several cellular processes and is aberrantly activated in many cancers. In this study, we focus on recent evidence suggesting that STAT3 and MUC1 regulate each others expression in cancer cells in an auto-inductive loop and found that their interaction plays a prominent role in mediating epithelial-to-mesenchymal transition (EMT) and drug resistance. The STAT3 inhibitor Napabucasin was in clinical trials but was discontinued due to futility. We found that higher expression of MUC1 increased the sensitivity of cancer cells to Napabucasin. Therefore, high-MUC1 tumors may have a better outcome to Napabucasin therapy. We report how MUC1 regulates STAT3 activity and provide a new perspective on repurposing the STAT3-inhibitor Napabucasin to improve clinical outcome of epithelial cancer treatment.

cancer biology↗

SBGNview: Data Analysis, Integration and Visualization on All Pathways

Pathway analysis is widely used in genomics and omics research, but the data visualization has been highly limited in function, pathway coverage and data format. Here we develop SBGNview a comprehensive solution to address these needs. By adopting the standard SBGN format, SBGNview greatly extend the coverage of pathway based analysis and data visualization to essentially all major pathway databases beyond KEGG, including 5200 reference pathways and over 3000 species. In addition, SBGNview substantially extends current tools in both design and function, including standard coherent input/output formats, high quality graphics convenient for both computational and manual analysis, and flexible and open-end workflow. In addition to pathway analysis and data visualization, SBGNview provides essential infrastructure for SBGN data manipulation and processing. SBGNview is available online: https://github.com/datapplab/SBGNview.

bioinformatics↗

The Aliment to Bodily Condition knowledgebase (ABCkb): A database connecting plants and human health

ObjectiveOverconsumption of processed foods has led to an increase in chronic diet-related diseases such obesity and type 2 diabetes. Although diets high in fresh fruits and vegetables are linked with healthier outcomes, the specific mechanisms for these relationships are poorly understood. Experiments examining plant phytochemical production and breeding programs, or separately on the health effects of nutritional supplements have yielded results that are sparse, siloed, and difficult to integrate between the domains of human health and agriculture. To connect plant products to health outcomes through their molecular mechanism an integrated computational resource is necessary. ResultsWe created the Aliment to Bodily Condition Knowledgebase (ABCkb) to connect plants to human health by creating a stepwise path from plant [->] plant product [->] human gene [->] pathways [->] indication. ABCkb integrates 11 curated sources as well as relationships mined from Medline abstracts by loading into a graph database which is deployed via a Docker container. This new resource, provided in a queryable container with a user-friendly interface connects plant products with human health outcomes for generating nutritive hypotheses. All scripts used are available on github (https://github.com/atrautm1/ABCkb) along with basic directions for building the knowledgebase.

bioinformatics↗

Tumor -Associated MUC1 Regulates TGF-β Signaling and Function in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDA) is one of the most lethal human cancers. Transforming Growth Factor Beta (TGF-{beta}) is a cytokine that switches from a tumor-suppressor to a tumor promoter throughout tumor development, by a yet unknown mechanism. Tumor associated MUC1 (tMUC1) is aberrantly glycosylated and overexpressed in >80% of PDAs and is associated with poor prognosis. The cytoplasmic tail of MUC1 (MUC1-CT) interacts with other oncogenic proteins promoting tumor progression and metastasis. We hypothesize that tMUC1 levels regulate TGF-{beta} functions in PDA in vitro and in vivo. We report that high-tMUC1 expression positively correlates to TGF-{beta}RII and negatively to TGF-{beta}RI receptors. In response to TGF-{beta}1, high tMUC1 expressing PDA cells undergo c-Src phosphorylation, and activation of the Erk/MAPK pathway; while low tMUC1 expressing cells activate the Smad2/3 pathway, enhancing cell death. Correspondingly, mice bearing tMUC1-high tumors responded to TGF-{beta}1 neutralizing antibody in vivo showing significantly retarded tumor growth. Analysis of clinical data from TCGA revealed significant alterations in gene-gene correlations in the TGF-{beta} pathway in tMUC1 high versus tMUC1 low samples. This study deepens our understanding of tMUC1-regulated TGF-{beta}s paradoxical function in PDA and establishes tMUC1 as a potential biomarker to predict response to TGF-{beta}-targeted therapies.

cancer biology↗