Cellule (biologie)

Résumé

vignette|Dessin de « cellules » observées dans des coupes d'écorce d'arbre par Robert Hooke en 1665, à l'origine du nom latin cellula « chambre de moine », ayant aussi le sens de cella « petite chambre, chambrette ». vignette|Dessin d'Edmund Beecher Wilson publié en 1900 dont la légende originale était : « Vue générale de cellules situées à la pointe de croissance d'une racine d'oignon à partir d'une coupe longitudinale agrandie . a. cellules qui ne se divisent pas, avec réseau de chromatine et nucléoles fortement colorés ; b. noyaux se préparant à la division ; c. Cellules en cours de division présentant des figures de mitose ; e. Paire de cellules filles peu après la division. » vignette|Paramecium aurelia, une paramécie. vignette|Colonie de Bacillus subtilis, une bactérie, vue au microscope optique. La cellule — du latin cellula « chambre de moine »

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https://fr.wikipedia.org/wiki/Cellule_(biologie)

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Basic course in biochemistry as well as cellular and molecular biology for non-life science students enrolling at the Master or PhD thesis level from various engineering disciplines. It reviews essential notions necessary for a training in biology-related engineering fields.

Diversité du monde vivant, rôle et action des Procaryotes dans la biosphère. Fonctionnement biochimique des êtres vivants comprenant les voies métaboliques centrales et les fonctions des biomolécules majeures. Rôle central joué par l'information génétique, des mécanismes évolutifs et de régulation.

Ce cours décrit le fonctionnement du système immunitaire humain et les bases immunologiques de la vaccination, de la transplantation, de l'immunothérapie, et de l'allergie. Il présente aussi le rôle des cellules souches dans la formation des tissus, notamment la lignée hématopoïétique.

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Breakthroughs in health care over the coming decades may well consist of cell based therapeutics, potentially allowing the repair and replacement of damaged tissues and organs. Recently developed induced pluripotency methods as well as advances in stem cell biology show hope of such a reality. But such prospects come with the need to have a robust understanding and control over cell development and differentiation processes. Cells in the body develop in tightly controlled and specialized micro-environments that provide many complex cues and interactions that guide cell fate by directing gene expression. But current cell culture techniques that are most widely used to study the cell outside the body have not significantly changed from when first started over a century ago, using simple containers and flasks with plastic surfaces. Many studies have shown that three-dimensions (3D) over conventional 2D cell culture alone, showed to have increased levels of cell organization, morphology and function. By combining novel biomaterials and microfabrication methods, this project aims to create a tool that allows the study of cells within a simplified 3D environment. With the potential to build up the physical and soluble complexity of this environment in a tailor made fashion, a "dissection" of the functions and influences of external factors may be understood. Such a tool can also be used for the development of cell based models, highly relevant for drug discovery application as well as potentially for the development of cell based therapeutics. We have developed a novel microfluidic 3D cell culture platform that allows controlled soluble factor perfusion in an enzymatically formed and cell responsive PEG-based hydrogel. Soft lithographic processes were used to mold microchannels on a layer of hydrogel. In a second step, a flat hydrogel layer is placed on top to enclose and form the microchannels . The system allows the control over soluble factor delivery and it is able to perform long-term cell culture and generate user controlled gradients of soluble factors. With continuous perfusion, metabolic waste is constantly removed and cells are supplied with fresh medium. The platform also can allow creation of tailor made environments building up complexity in a controlled fashion. Higher throughput is also achieved by arraying individual culture chambers. The device was applied towards the culture of mouse embryonic stem cells (mESC) in order to demonstrate their self-renewal capacity on the microfluidic platform. The effects of some cytokine factors were also studied. Meaningful readouts such as fluorescence are easily used for analysis and cells can possibly be extracted from the device for further downstream analysis and processing. Through this device we show that microfluidics technologies combined with biomaterials enables the creation of platforms that are biologically relevant for the study and understanding of cell processes from cancer to stem cell development, processes which are fundamentally regulated by interactions with the microenvironment. The platform developed may also be used to develop human tissue models perhaps more relevant than current animal based testing, providing new tools for drug development and also potentially new approaches for developing cell based therapeutics

2009

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Data-driven whole mouse brain modeling for multi-scale simulations

Dimitri Bruno Marie Rodarie

In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point-neuron models of the whole mouse brain. The ultimate goal is to replicate close loop experiments with a virtual body in a virtual world. This pipeline was origi-nally created by a PhD student of the Blue Brain Project and this pioneer work has yielded the first versions of the model and their simulations. My objective is to refine, extend and consolidate the previous version of the workflow and in particular to extend the repertoire of neuron types by integrating and consolidating available literature data.The pipeline has four main parts. First, we define a pair of reference atlases to create a spatial reference for every dataset that we want to integrate. Second, we create a cell atlas with estimates of the number and density of the major cell types in each brain region. Then, we build a connectivity atlas that describes the connections of each neuron of the mouse brain and their properties. Finally, we assign point-neuron parameters to each of the neuron types, and synaptic parameters to each of the connection types of our model to obtain a point-neuron network of the mouse brain. This network can be simulated to perform mouse brain experi-ments in-silico.In this thesis, we evaluate the quality of the different reference atlases, released by the Allen Institute for Brain Science and pro-vide methods to mitigate the impact of artifacts in the original images. We further extend the cell atlas with density estimates of more inhibitory neuron types. To do so, we introduce a new method to combine estimates of inhibitory neuron counts from the literature into a consistent framework. We also estimate inhibitory neuron density in regions where no literature data are avai-lable, using collected literature estimates and gene expression data from in situ hybridization image stacks. Our approach can be further extended to other cell types and provides a resource to build more detailed circuits of the mouse brain. Next, we refine the connectivity atlas, including literature findings on short-range connectivity. Additionally, we construct a database to store data collected on neuron types point-neuron parameters and synaptic parameters. With the results of the previous steps, we generate a new version of the whole mouse brain point-neuron network. We tested this new model against its previous version using three benchmark experiments. We explore the possibility to embed and connect detailed circuit reconstructions of the mouse brain to our point neuron model and co-simulate them. Finally, we constrain a 3D skeleton model of the mouse with joint constraints from the literature and attach muscle to its bones to create a musculoskeletal model of the mouse body that can be simulated in close-loop with our model to reproduce motor control experiments.

EPFL2022

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Biochemistry of Aminoacyl tRNA Synthetase and tRNAs and Their Engineering for Cell-Free and Synthetic Cell Applications

Ragunathan Bava Ganesh, Sebastian Maerkl

Cell-free biology is increasingly utilized for engineering biological systems, incorporating novel functionality, and circumventing many of the complications associated with cells. The central dogma describes the information flow in biology consisting of transcription and translation steps to decode genetic information. Aminoacyl tRNA synthetases (AARSs) and tRNAs are key components involved in translation and thus protein synthesis. This review provides information on AARSs and tRNA biochemistry, their role in the translation process, summarizes progress in cell-free engineering of tRNAs and AARSs, and discusses prospects and challenges lying ahead in cell-free engineering.

FRONTIERS MEDIA SA2022

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Data-driven whole mouse brain modeling for multi-scale simulations

Dimitri Bruno Marie Rodarie

EPFL2022

2009