Neuropeptide Receptors in the Dental Pulp

Objectives: The inflammatory response to pulpal injury or infection has major clinical significance. The aim of the study is to investigate the presence and regulation of expression of neuropeptide receptors on human pulp fibroblasts and whole pulp tissue. This study will investigate the expression of Substance P (NK-1) and Neuropeptide Y (NPY-Y1) receptors on pulp fibroblasts, determine the effects of Transforming Growth Factor Beta-1 (TGF-b1) and Interleukin 1-Beta (IL-1b) on the expression of NK-1 and NPY-Y1 receptors on pulp fibroblasts and examine the levels of receptor expression in whole pulp samples. Methods: Primary pulp fibroblast cell lines were obtained from patients undergoing extractions for orthodontic reasons. The cells were grown to confluence and stimulated for 5 days with IL-1b or TGF-b1. Pulp tissue fragments were obtained from freshly extracted sound and carious teeth, snap frozen in liquid nitrogen and cracked open using a vice. The monolayer was removed with cell scrapers and pelleted. The cell membranes of the cultured cells and the whole tissue were isolated using a Mem-PER® Eukaryotic Membrane Protein Extraction Reagent Kit (Pierce, UK). The membrane proteins were separated by SDS-PAGE and Western blotting was used to detect the presence of NK-1 and NPY-Y1. Results: Initial results demonstrated the presence of NK-1 and NPY-Y1 in cultured pulp fibroblasts. Following the 5 day incubation with TGF-b1, the cells appeared not to express NK-1. IL-1b had a slight stimulatory effect on NK-1 expression. The NPY-Y1 expression was not affected by either TGF-b1 or IL-1b. In whole pulp samples, levels of NK-1 were increased in carious teeth compared to caries-free teeth. The NPY-Y1 levels were similar in carious and non-carious teeth. Conclusion: These findings give an insight into how pulp cells react to inflammatory stimuli with regards to neuropeptide receptor expression and their roles in health and disease

QUADrATiC: scalable gene expression connectivity mapping for repurposing FDA-approved therapeutics

Background: Gene expression connectivity mapping has proven to be a powerful and flexible tool for research. Its application has been shown in a broad range of research topics, most commonly as a means of identifying potential small molecule compounds, which may be further investigated as candidates for repurposing to treat diseases. The public release of voluminous data from the Library of Integrated Cellular Signatures (LINCS) programme further enhanced the utilities and potentials of gene expression connectivity mapping in biomedicine. Results: We describe QUADrATiC (http://go.qub.ac.uk/QUADrATiC), a user-friendly tool for the exploration of gene expression connectivity on the subset of the LINCS data set corresponding to FDA-approved small molecule compounds. It enables the identification of compounds for repurposing therapeutic potentials. The software is designed to cope with the increased volume of data over existing tools, by taking advantage of multicore computing architectures to provide a scalable solution, which may be installed and operated on a range of computers, from laptops to servers. This scalability is provided by the use of the modern concurrent programming paradigm provided by the Akka framework. The QUADrATiC Graphical User Interface (GUI) has been developed using advanced Javascript frameworks, providing novel visualization capabilities for further analysis of connections. There is also a web services interface, allowing integration with other programs or scripts.Conclusions: QUADrATiC has been shown to provide an improvement over existing connectivity map software, in terms of scope (based on the LINCS data set), applicability (using FDA-approved compounds), usability and speed. It offers potential to biological researchers to analyze transcriptional data and generate potential therapeutics for focussed study in the lab. QUADrATiC represents a step change in the process of investigating gene expression connectivity and provides more biologically-relevant results than previous alternative solutions.

A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping

Gene expression connectivity mapping has gained much popularity recently with a number of successful applications in biomedical research testifying its utility and promise. Previously methodological research in connectivity mapping mainly focused on two of the key components in the framework, namely, the reference gene expression profiles and the connectivity mapping algorithms. The other key component in this framework, the query gene signature, has been left to users to construct without much consensus on how this should be done, albeit it has been an issue most relevant to end users. As a key input to the connectivity mapping process, gene signature is crucially important in returning biologically meaningful and relevant results. This paper intends to formulate a standardized procedure for constructing high quality gene signatures from a user’s perspective.