Mines ParisTech

About: Mines ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Microstructure. The organization has 6564 authors who have published 11676 publications receiving 359898 citations. The organization is also known as: École nationale supérieure des mines de Paris & École des mines de Paris.

Co-word maps of biotechnology: An example of cognitive scientometrics

Abstract: To analyse developments of scientific fields, scientometrics provides useful tools, provided one is prepared to take the content of scientific articles into account. Such cognitive scientometrics is illustrated by using as data a ten-year period of articles from a biotechnology core journal. After coding with key-words, the relations between articles are brought out by co-word analysis. Maps of the field are given, showing connections between areas and their change over time, and with respect to the institutions in which research is performed. In addition, other approaches are explored, including an indicator of lsquotheoretical levelrsquo of bodies of articles.

Toward inline multiplex biodetection of metals, bacteria, and toxins in water networks: the COMBITOX project.

Abstract: This special issue of Environmental Science and Pollution Research highlights selected papers whose results have been obtained in the course of the COMBITOX project. COMBITIOX is an interdisciplinary research project funded by the French National Research Agency (ANR) aiming at conceiving an inline multiparametric device for the surveillance of water networks using biosensors. This device is not intended to fully replace chemical methods, but when compared to analytical chromatographic methodologies, biological sensors can offer rapid and on-site monitoring of even trace levels of targeted compounds (Sun et al. 2015) and can quickly raise the alarm in the event of an accidental or intentional pollution. Numerous developments have been published to improve the sensitivity, specificity, and time response of various biosensors in laboratory conditions (Xiong et al. 2012) (der Meer et al. 2010), but their actual transfer into technological devices for the surveillance of water networks remains at a conceptual level. Thus, the challenge here is to go a step beyond and validate biosensors under real-life field conditions by incorporating them in a single inline detector. During the course of COMBITOX, we could define the interface between the biosensors and a common light detector as well as the physical conditioning of the bioreagents and usage protocol. Our resulting prototype allow the detection of bioavailable toxic compounds as well as microorganisms, impacting human health through the drinking water network or interfering with the biological process of modern wastewater treatment plants. We also plan to propose this system to meet the emerging threats such as bioterrorism. COMBITOX focuses on three families of Bobjects^ to detect: metals (cadmium, mercury, arsenic, nickel, etc.), environmental and/or food toxins, and pathogenic microorganisms. Whole-cell biosensors based on reporter gene under the control of an inducible promoter are used to detect various metals (Hynninen and Virta 2010), the antibody/antigen interaction for toxins (Makaraviciute and Ramanaviciene 2013), and the specific infection of bacteria by bacteriophages for pathogenic microorganisms (Smartt et al. 2012) (Vinay et al. 2015). In all cases, the signal measured is photochemical (fluorescence, bioluminescence, or chemo-luminescence): such a method to transduce the biological recognition is very sensitive and a single photodetector can be used for all biosensors included in the device. The challenge here rather lies in the design and the optimization of the different biological compounds for their use in the field while maintaining a high sensibility and robustness. As a consequence, the different articles presented in this special issue focus on original strategies for the optimization and the adaptation of the three types of biosensors for their use in a semi-autonomous inline water analyzer. In the case of whole-cell biosensors, improvement of the dose-responses Responsible editor: Philippe Garrigues

Mechanical induction of the tumorigenic β-catenin pathway by tumour growth pressure

Abstract: The tumour microenvironment may contribute to tumorigenesis owing to mechanical forces such as fibrotic stiffness or mechanical pressure caused by the expansion of hyper-proliferative cells. Here we explore the contribution of the mechanical pressure exerted by tumour growth onto non-tumorous adjacent epithelium. In the early stage of mouse colon tumour development in the Notch(+)Apc(+/1638N) mouse model, we observed mechanistic pressure stress in the non-tumorous epithelial cells caused by hyper-proliferative adjacent crypts overexpressing active Notch, which is associated with increased Ret and β-catenin signalling. We thus developed a method that allows the delivery of a defined mechanical pressure in vivo, by subcutaneously inserting a magnet close to the mouse colon. The implanted magnet generated a magnetic force on ultra-magnetic liposomes, stabilized in the mesenchymal cells of the connective tissue surrounding colonic crypts after intravenous injection. The magnetically induced pressure quantitatively mimicked the endogenous early tumour growth stress in the order of 1,200 Pa, without affecting tissue stiffness, as monitored by ultrasound strain imaging and shear wave elastography. The exertion of pressure mimicking that of tumour growth led to rapid Ret activation and downstream phosphorylation of β-catenin on Tyr654, imparing its interaction with the E-cadherin in adherens junctions, and which was followed by β-catenin nuclear translocation after 15 days. As a consequence, increased expression of β-catenin-target genes was observed at 1 month, together with crypt enlargement accompanying the formation of early tumorous aberrant crypt foci. Mechanical activation of the tumorigenic β-catenin pathway suggests unexplored modes of tumour propagation based on mechanical signalling pathways in healthy epithelial cells surrounding the tumour, which may contribute to tumour heterogeneity.

Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences

Abstract: We present and evaluate a person re-identification scheme for multi-camera surveillance system. Our approach uses matching of signatures based on interest-points descriptors collected on short video sequences. One of the originalities of our method is to accumulate interest points on several sufficiently time-spaced images during person tracking within each camera, in order to capture appearance variability. A first experimental evaluation conducted on a publicly available set of low-resolution videos in a commercial mall shows very promising inter-camera person re-identification performances (a precision of 82% for a recall of 78%). It should also be noted that our matching method is very fast: ~ 1/8s for re-identification of one target person among 10 previously seen persons, and a logarithmic dependence with the number of stored person models, making re- identification among hundreds of persons computationally feasible in less than ~ 1/5 second.