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Gerritsen, J.

Publications and source records attributed to Gerritsen, J..

3 recordsLinked to original sources

Dissecting signaling regulators driving AXL-mediated bypass resistance and associated phenotypes by phosphosite perturbations

Receptor tyrosine kinase (RTK)-targeted therapies are often effective but invariably limited by drug resistance. A major mechanism of acquired resistance involves "bypass" switching to alternative pathways driven by non-targeted RTKs that restore proliferation. One such RTK is AXL whose overexpression, frequently observed in bypass resistant tumors, drives both cell survival and associated malignant phenotypes such as epithelial-to-mesenchymal (EMT) transition and migration. However, the signaling molecules and pathways eliciting these responses have remained elusive. To explore these coordinated effects, we generated a panel of mutant lung adenocarcinoma PC9 cell lines in which each AXL intracellular tyrosine residue was mutated to phenylalanine. By integrating measurements of phosphorylation signaling and other phenotypic changes associated with resistance through multivariate modeling, we mapped signaling perturbations to specific resistant phenotypes. Our results suggest that AXL signaling can be summarized into two clusters associated with progressive disease and poor clinical outcomes in lung cancer patients. These clusters displayed favorable Abl1 and SFK motifs and their phosphorylation was consistently decreased by dasatinib. High-throughput kinase specificity profiling showed that AXL likely activates the SFK cluster through FAK1 which is known to complex with Src. Moreover, the SFK cluster overlapped with a previously established focal adhesion kinase (FAK1) signature conferring EMT-mediated erlotinib resistance in lung cancer cells. Finally, we show that downstream of this kinase signaling, AXL and YAP form a positive feedback loop that sustains drug tolerant persister cells. Altogether, this work demonstrates an approach for dissecting signaling regulators by which AXL drives erlotinib resistance-associated phenotypic changes. One-sentence summaryA systems biology approach elucidates the signaling pathways driving AXL-mediated erlotinib resistance in lung cancer.

cancer biology↗

Monkeybread: A Python toolkit for the analysis of cellular niches in single-cell resolution spatial transcriptomics data

Spatial transcriptomics technologies enable the spatially resolved measurement of gene expression within a tissue specimen. With these technologies, researchers can investigate how cells organize into cellular niches which are defined as distinct regions in the tissue comprising a specific composition of cell types or phenotypes. While general-purpose software tools for the exploratory analysis of spatial transcriptomics data exist, there is a need for tools that specialize in the analysis of cellular organization into niches. This can further enhance the downstream application of these data towards drug target discovery, target validation, and biomarker development. We present Monkeybread: A Python toolkit for analyzing cellular organization and intercellular communication in single-cell resolution spatial transcriptomics data. We applied Monkeybread to a human melanoma sample to demonstrate its utility in identifying cellular niches with diverse immunogenic compositions in the tumor microenvironment. We found that these niches were differentially enriched for immunogenic and tolerogenic macrophage populations that could be correlated to T cell abundance. These findings highlight how Monkeybread can be used for revealing underlying biology of the tumor microenvironment, and in the future, for understanding the influence of these niches on response to available treatments and discovery of novel drug targets.

bioinformatics↗

Impact of Donor Individuality, Temporal Variation, and Culture Medium Type on Microbiota Composition and Metabolic Activity in Human Fecal Batch Culture

Fecal batch culture (FBC) studies often rely on a single fecal sample collection and the use of one type of medium for cultivation, bringing challenges to the interpretation of results and the comparison between studies. This study investigated the impact of donor individuality, temporal variation and culture medium type on microbiota composition and metabolic activity in an FBC setting with the fiber polydextrose (PDX) as carbon and energy source. FBCs were inoculated with fecal microbiota from three healthy donors sampled at three different days (day 1, 2 and 30), using either basal or rich culture medium with PDX as carbon source. Microbiota composition and metabolic activity were determined after 0, 6, 12, and 24 h of incubation. Microbiota composition variation explained by donor individuality dropped from 51% to 16% during incubation, while that explained by medium and PDX supplementation increased from 0% to 17% and 20%, respectively. Independent of the medium, the genera Erysipelotrichaceae UCG-003, Blautia and Fusicatenibacter were stimulated by PDX supplementation. In basal medium Bacteroides and Anaerostipes grew better, whereas Bifidobacterium, Faecalibacterium and Megasphaera grew better in rich medium. Metabolite variation was explained up to 50% by PDX supplementation during incubations, with butyrate being produced at the highest concentrations among all metabolites. Temporal variation explained less than 3% of the variation in both microbiota and metabolite composition. In conclusion, in this study donor individuality had the most profound impact on microbiota succession while medium and PDX supplementation had larger impacts on metabolic activity in FBCs. IMPORTANCEFBCs or other in vitro models are often chosen to assist in obtaining mechanistic insights complementing in vivo microbiome observations by mimicking the colonic fermentation. However, FBCs are prone to a variety of factors such as the individuality of feces donor, temporal variation in microbiota composition within the individual, and cultivation medium. The importance of our study is in reinforcing that both donor individuality and medium type have major impacts on PDX degradation, whilst the impact of temporal variation is limited. Of interest is that bifidobacterial growth was more stimulated in rich medium with PDX as carbon source, whereas growth of members of the Bacteroidetes were more stimulated in basal medium with PDX as carbon source. We recommend that variations in medium and donor samples should be considered when planning and interpreting in vitro incubation studies.

microbiology↗