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Laird, M.

Publications and source records attributed to Laird, M..

5 recordsLinked to original sources

Rational design of HER2-targeted combination therapies to reverse drug resistance in fibroblast-protected HER2+ breast cancer cells.

IntroductionFibroblasts, an abundant cell type in the breast tumor microenvironment, interact with cancer cells and orchestrate tumor progression and drug resistance. However, the mechanisms by which fibroblast-derived factors impact drug sensitivity remain poorly understood. Here, we develop rational combination therapies that are informed by proteomic profiling to overcome fibroblast-mediated therapeutic resistance in HER2+ breast cancer cells. MethodsDrug sensitivity to the HER2 kinase inhibitor lapatinib was characterized under conditions of monoculture and exposure to breast fibroblast-conditioned medium. Protein expression was measured using reverse phase protein arrays. Candidate targets for combination therapy were identified using differential expression and multivariate regression modeling. Follow-up experiments were performed to evaluate the effects of HER2 kinase combination therapies in fibroblast-protected cancer cell lines and fibroblasts. ResultsCompared to monoculture, fibroblast-conditioned medium increased the expression of plasminogen activator inhibitor-1 (PAI1) and cell cycle regulator polo like kinase 1 (PLK1) in lapatinib-treated breast cancer cells. Combination therapy of lapatinib with inhibitors targeting either PAI1 or PLK1, eliminated fibroblast-protected cancer cells, under both conditions of direct coculture with fibroblasts and protection by fibroblast-conditioned medium. Analysis of publicly available, clinical transcriptomic datasets revealed that HER2-targeted therapy fails to suppress PLK1 expression in stroma-rich HER2+ breast tumors and that high PAI1 gene expression associates with high stroma density. Furthermore, we showed that an epigenetics-directed approach using a bromodomain and extraterminal inhibitor to globally target fibroblast-induced proteomic adaptions in cancer cells, also restored lapatinib sensitivity. ConclusionsOur data-driven framework of proteomic profiling in breast cancer cells identified the proteolytic degradation regulator PAI1 and the cell cycle regulator PLK1 as predictors of fibroblast-mediated treatment resistance. Combination therapies targeting HER2 kinase and these fibroblast-induced signaling adaptations eliminates fibroblast-protected HER2+ breast cancer cells.

bioengineering↗

CAR T cell infiltration and cytotoxic killing within the core of 3D breast cancer spheroids under control of antigen sensing in microwell arrays

The success of chimeric antigen receptor (CAR) T cells in blood cancers has intensified efforts to develop CAR T therapies for solid cancers. In the solid tumor microenvironment, CAR T cell trafficking and suppression of cytotoxic killing represent limiting factors for therapeutic efficacy. Here, we present a microwell platform to study CAR T cell interactions with 3D tumor spheroids and determine predictors of anti-tumor CAR T cell function. To precisely control antigen sensing by CAR T cells, we utilized a switchable adaptor CAR system, that instead of directly binding to an antigen of interest, covalently attaches to co-administered antibody adaptors that mediate tumor antigen recognition. Following addition of an anti-HER2 adaptor antibody, primary human CAR T cells exhibited higher infiltration and clustering compared to the no adaptor control. By tracking CAR T cell killing at the individual spheroid level, we showed the suppressive effects of spheroid size and identified the initial CAR T cell : spheroid area ratio as a predictor of cytotoxicity. Spatiotemporal analysis revealed lower CAR T cell numbers and cytotoxicity in the spheroid core compared to the periphery. Finally, increasing CAR T cell seeding density, resulted in higher CAR T cell infiltration and cancer cell elimination in the spheroid core. Our findings provide new quantitative insights into CAR T cell-mediated killing of HER2+ breast tumor cells. Given the miniaturized nature and live imaging capabilities, our microfabricated system holds promise for discovering cell-cell interaction mechanisms that orchestrate antitumor CAR T cell functions and screening cellular immunotherapies in 3D tumor models.

bioengineering↗

Nature AND Nurture: Enabling formate-dependent growth in Methanosarcina acetivorans

Methanogenic archaea are crucial in global carbon cycling as around 1 Gt of the potent greenhouse gas, methane, is produced annually. Major contributors belong to the order Methanosarcinales, which contain some of the most versatile methanogens that are capable of acetotrophic, methylotrophic and CO2-reducing methanogenesis. The genetically tractable model methanogen, Methanosarcina acetivorans, by its nature shows versatility in substrate utilization and energy conservation pathways but cannot utilize formate. In this study, we expanded the primary metabolism of M. acetivorans to include formate-dependent methanogenesis. By introducing an exogenous formate dehydrogenase, the two metabolically engineered M. acetivorans strains acquired the capacity for formate-dependent methanogenesis pathways with one capable of formate-dependent methyl-reduction and the other capable of formate-dependent CO2-reduction. Through nurturing the strain capable of CO2-reduction with adaptive laboratory evolution, we were able to enable growth and methanogenesis of M. acetivorans solely on formate, a metabolism only reported in methanogens without cytochromes which are limited by their versatility. M. acetivorans also showed acetogenic potential where the formate-dependent CO2-reducing strain was able to divert {approx} 10% of carbon to acetate instead of methane. Our results show that even though M. acetivorans lacks energy converting hydrogenase and cannot use H2, it has yet-uncharacterized capacity to obtain reduced ferredoxins from oxidizing formate. Our work encourages reevaluation of our understanding of formate utilization in Methanosarcinales. By enabling formate-dependent methanogenesis, we have expanded the substrate spectrum of a versatile model methanogen with cytochromes to include formate as well.

microbiology↗

The platyrrhine primate Cebus imitator uses gaze to adjust grasp posture for food handling and withdraw to the mouth

Orienting a food item held in the hand to withdraw it to the mouth for eating is mediated by vision in catarrhine anthropoids and by nonvisual strategies in strepsirrhines. The present study asks whether vision contributes to the withdraw in a platyrrhine anthropoid, a member of a monophyletic primate suborder whose stem group diverged from catarrhines about 40 million years ago. We examined gaze and hand use in arboreal fruit picking by the Costa Rican capuchin, Cebus imitator, a platyrrhine known for its skilled object-handling and tool use. Videos clips of reach, grasp and withdraw movements and associated gaze were examined frame-by-frame to assess hand shaping and sensory control of eating. Cebus imitator used vision and touch to reach for and grasp food items with precision or whole hand grasps. They used vision to orient food items held inhand into a precision grip and their withdraw of food items to the mouth was assisted with a vertically oriented hand. The conjoint use of vision, grasp and hand posture by capuchins is discussed in relation to the staged evolution of visual manipulation of objects, one of which is featured in this platyrrhine primate.

evolutionary biology↗

Refget: standardised access to reference sequences

Reference sequences are essential in creating a baseline of knowledge for many common bioinformatics methods, especially those using genomic sequencing. We have created refget, a Global Alliance for Genomics and Health API specification to access reference sequences and sub-sequences using an identifier derived from the sequence itself. We present four reference implementations across in-house and cloud infrastructure, a compliance suite and a web report used to ensure specification conformity across implementations. https://w3id.org/ga4gh/refget.

bioinformatics↗