Biology subjects

Hall, B. A.

Publications and source records attributed to Hall, B. A..

3 recordsLinked to original sources

bioRxiv2018

Tumor pre-conditioning of draining lymph node stroma by lactic acid

Communication between tumors and the stroma of tumor draining lymph nodes (TDLNs) exists before metastasis arises, altering structure and function of the TDLN niche. Transcriptional profiling of fibroblastic reticular cells (FRCs), the dominant stromal population of the LN, revealed reprogramming of these cells in immune related pathways, but also in fibroblast activation and mitochondrial function. However, tumor derived factors driving the changes in FRCs remained to be identified. Taking an unbiased approach, we show that lactate, a metabolite released by cancer cells, elicits upregulation of Pdpn and Thy1 in FRCs of TDLNs, making them akin to activated fibroblasts found at the primary tumor site. Furthermore, we show that tumor-derived lactate alters mitochondrial function of FRCs of TDLNs. Thus, our results demonstrate a novel mechanism by which a tumor-derived metabolite modulates the function of fibroblasts in TDLNs.

cancer biology↗

bioRxiv2018

A Toolbox for Discrete Modelling of Cell Signalling Dynamics

In an age where the volume of data regarding biological systems exceeds our ability to analyse it, many researchers are looking towards systems biology and computational modelling to help unravel the complexities of gene and protein regulatory networks. In particular, the use of discrete modelling allows generation of signalling networks in the absence of full quantitative descriptions of systems, which are necessary for ordinary differential equation (ODE) models. In order to make such techniques more accessible to mainstream researchers, tools such as the BioModelAnalyzer (BMA) have been developed to provide a user-friendly graphical interface for discrete modelling of biological systems. Here we use the BMA to build a library of discrete target functions of known canonical molecular interactions, translated from ordinary differential equations (ODEs). We then show that these BMA target functions can be used to reconstruct complex networks, which can correctly predict many known genetic perturbations. This new library supports the accessibility ethos behind the creation of BMA, providing a toolbox for the construction of complex cell signalling models without the need for extensive experience in computer programming or mathematical modelling, and allows for construction and simulation of complex biological systems with only small amounts of quantitative data.\n\nAUTHOR SUMMARYOrdinary differential equation (ODE) based models are a popular approach for modelling biological networks. A limitation of ODE models is that they require complete networks and detailed kinetic parameterisation. An alternative is the use of discrete, executable models, in which nodes are assigned discrete value ranges, and the relationship between them defined with simple mathematical operations. One tool for constructing such models is the BioModelAnalyzer (BMA), an open source and publicly available (https://www.biomodelanalyzer.org) software, aimed to be fully usable by researchers without extensive computational or mathematical experience. A fundamental question for executable models is whether the high level of abstraction substantially reduces expressivity relative to continuous approaches. Here, we present a canonical library of biological signalling motifs, initially defined by Tyson et al (2003), translated for the first time into the BMA. We show that; 1) these motifs are easily and fully translatable from continuous to discrete models, 2) Combining these motifs in a computationally naive way generates a fully functional and predictive model of the yeast cell cycle.

systems biology↗

bioRxiv2017

In vivo cross-linking and transmembrane helix dynamics support a non-piston model of signaling within E. coli EnvZ

In Gram-negative bacteria, porins span the outer membrane and control the influx of several prominent groups of antibiotics. Thus, it should not be surprising that expression of these porins is often altered in clinical isolates exhibiting multidrug resistance (MDR). The major regulator of porin expression in Escherichia coli is EnvZ, a canonical sensor histidine kinase (SHK). It allosterically processes periplasmic interactions with MzrA and cytoplasmic osmosensing into a single unified change in the ratio of its kinase and phosphatase activities. Unfortunately, the role of the EnvZ transmembrane domain (TMD) in bidirectional communication of these signals remains not well understood. Here, we employed in vivo sulfhydryl-reactivity to probe the dynamics of the TM2 helices and demonstrate that upon stimulus perception, only the region proximal to the periplasm undergoes conformational rearrangement. Furthermore, in silico coarse-grained molecular dynamics (CG-MD) simulations with aromatically tuned variants of EnvZ TM2 demonstrate the existence of both tilting and azimuthal rotational components to transmembrane communication while ruling out piston-type repositioning of TM2. Finally, in contrast to a similar analysis of TM1, we identified position-specific mutants possessing a \"flipped\" phenotype by dual-color fluorescent reporter analysis suggesting that both the periplasmic and cytoplasmic ends of TM2 are critical for maintenance of EnvZ signal output. Taken together, these data strongly support that EnvZ employs a non-piston-type mechanism during transmembrane communication. We conclude by discussing these results within the context of allosteric processing by EnvZ and propose that these results can be used to predict and classify transmembrane communication by various SHKs.\n\nImportanceThe EnvZ sensor histidine kinase serves as the major regulator of porin expression within Escherichia coli. A long-standing question is how stimulus perception by a bacterial receptor on one side of a biological membrane is transmitted to the opposite side of the membrane. To address this question, we monitored the dynamics of the transmembrane domain of EnvZ in vivo and coupled these results with in silico simulations of membrane-embedded EnvZ transmembrane domains. Taken together, these results demonstrate that detection of osmotic stress by the cytoplasmic domain of EnvZ results in non-piston communication across the inner membrane of E. coli. Thus, in addition to understanding how EnvZ regulates porin balance and antibiotic influx, these results contribute to answering the long-standing question of how transmembrane communication is performed by bacterial receptors. Our work concludes with a framework that correlates receptor domain composition and signal transduction mechanisms that could be employed by other research groups on their particular receptors of interest.

biochemistry↗