Biology subjects

Moreau, V.

Publications and source records attributed to Moreau, V..

4 recordsLinked to original sources

bioRxiv2018

PEPOP: new approaches to mimic non-continous epitopes

Bioinformatics methods are helpful to identify new molecules for diagnostic or therapeutic applications. For example, the use of peptides capable of mimicking binding sites has several benefits as replacing a protein difficult to produce, or toxic. Using peptides is less expensive. Peptides are easier to manipulate, and can be used as drugs. Continuous epitope predicted by bioinformatics tools are commonly used and these sequential epitopes are used as such in further experiments. Numerous discontinuous epitope predictors have been developed but only two bioinformatics tools proposed so far to predict peptide sequences: Superficial and PEPOP. PEPOP can generate series of peptide sequences that can replace continuous or discontinuous epitopes in their interaction with their cognate antibody. We have developed an improved version of PEPOP dedicated to answer to the experimentalists need for a tool able to handle proteins and to turn them into peptides. The PEPOP web site has been reorganized by peptide prediction category and is therefore better formulated to experimental designs. Since the first version of PEPOP, 32 new methods of peptide design were developed. In total, PEPOP proposes 35 methods in which 34 deal specifically with discontinuous epitopes, the most represented epitope type in nature.\n\nWe present the user-friendly, well-structured web-site of PEPOP and its validation through the use of predicted immunogenic or antigenic peptides mimicking discontinuous epitopes in different experimental ways. PEPOP proposes 35 methods of peptide design to guide experimentalists in using peptides potentially capable of replacing the cognate protein in its interaction with an Ab.

bioinformatics↗

bioRxiv2018

Benchmarking the PEPOP methods for mimicking discontinuous epitopes

Computational methods provide approaches to identify epitopes in protein antigens to help characterizing potential biomarkers identified by high-throughput genomic or proteomic experiments. PEPOP version 1.0 was developed as an antigenic or immunogenic peptide prediction tool. We have now improved this tool by implementing 32 new methods (PEPOP version 2.0) to guide the choice of peptides that mimic discontinuous epitopes and thus potentially able to replace the cognate protein antigen in its interaction with an antibody. In the present work, we describe these new methods and the benchmarking of their performances.\n\nBenchmarking was carried out by comparing the peptides predicted by the different methods and the corresponding epitopes determined by X-ray crystallography in a dataset of 75 antigen-antibody complexes. The Sensitivity (Se) and Positive Predictive Value (PPV) parameters were used to assess the performance of these methods. The results were compared to that of peptides obtained either by chance or by using the SUPERFICIAL tool, the only available comparable method.\n\nThe PEPOP methods were more efficient than, or as much as chance, and 33 of the 34 PEPOP methods performed better than SUPERFICIAL. Overall, \"optimized\" methods (tools that use the traveling salesman problem approach to design peptides) can predict peptides that best match true epitopes in most cases.

bioinformatics↗

bioRxiv2017

Scalable composition frameworks for multicellular logic

A major goal of synthetic biology is to reprogram living organisms to solve pressing challenges in manufacturing, environmental remediation, or healthcare. While many types of genetic logic gates have been engineered, their scalability remains limited. Previous work demonstrated that Distributed Multicellular Computation (DMC) enables the implementation of complex logic within cellular consortia. However, current DMC systems require spatial separation of cellular subpopulation to be scalable to N-inputs, and need cell-cell communication channels to operate. Here we present scalable composition frameworks for the systematic design of multicellular consortia performing recombinase-based Boolean or history-dependent logic, and integrating an arbitrary number of inputs. The theoretical designs for both Boolean and history-dependent logic are based on reduced sets of computational modules implemented into specific cellular subpopulations which can then be combined in various manners to implement all logic functions. Our systems mark a departure from previous DMC architectures as they do not require either cell-cell communication nor spatial separation, greatly facilitating their implementation and making them fully autonomous. Due to their scalability and composability, we anticipate that the design strategies presented here will help researchers and engineers to reprogram cellular behavior for various applications in a streamlined manner. We provide an online tool for automated design of DNA architectures allowing the implementation of multicellular N-inputs logic functions at: http://synbio.cbs.cnrs.fr/calin.

synthetic biology↗

bioRxiv2017

Fast Activation Cycles Of Rac1 At The Lamellipodium Tip Trigger Membrane Protrusion

The spatiotemporal coordination of actin regulators in the lamellipodium determines the dynamics and architecture of branched F-actin networks during cell migration. The WAVE complex, effector of Rac1 during cell protrusion, is concentrated at the lamellipodium tip. Yet, correlation of Rho GTPases activation with cycles of membrane protrusions, suggested that Rac1 activation is not synchronized with membrane protrusion and occurs behind the lamellipodium. However, RhoA activation is maximal at the cell edge and synchronized with edge progression. Combining single protein tracking (SPT) and super-resolution imaging with loss- or gain-of-function of Rho GTPases mutants, we demonstrate that Rac1 immobilizations at the lamellipodium tip are correlated with Rac1 activation, on the contrary to RhoA. We show that Rac1 effector WAVE and Rac1 regulator IRSp53 accumulate at the lamellipodium tip by membrane free-diffusion and trapping. Nevertheless, wild-type Rac1, which directly interacts with WAVE and IRSp53, only displays slower diffusion at the lamellipodium tip, suggesting fast local activation/inactivation cycles. Local optogenetic activation of Rac1, triggered by Tiam1 membrane recruitment, proves that Rac1 activation must occur at the lamellipodium tip and not behind the lamellipodium to trigger efficient membrane protrusion. Furthermore, coupling tracking with optogenetic activation of Rac1 demonstrates that Rac1-WT diffusive properties are unchanged despite enhanced lamellipodium protrusion. Taken together, our results support a model where Rac1 is rapidly switching between activation and inhibition at the lamellipodium tip, ensuring a local and fast control of Rac1 actions on its targets.\n\nSignificanceRac1 and RhoA GTPases are molecular switches controlling the actin cytoskeletal during cell migration. WAVE, Rac1 effector during cell protrusion, is concentrated at the lamellipodium tip. But, recent biosensor imaging studies suggested that Rac1 activation occurs behind the lamellipodium, while RhoA activation is maximal at the cell edge. Using single-molecule imaging and optogentics Rac1 activation we solved this apparent contradiction. We revealed a strong correlation between Rac1 activation and transient immobilizations at the lamellipodium tip, unlike RhoA. Furthermore, we demonstrated that Rac1 must be activated at the lamellipodium tip and not away from it to stimulate protrusion. Thus, fast cycling between activation and inhibition at the proximity of Rac1 targets ensures a local and fast control over Rac1 actions.\n\nAbbreviations

cell biology↗