Determinants of the Interaction Selectivity Between Lanthanide and Actinide Ions and the N-Terminal Domain of Calmodulin

Metal-binding proteins are macromolecules capable of finely tuning the properties of metal-binding sites, their affinity and selectivity for the metal of interest. The aim of this thesis is to optimize protein binding sites for lanthanides (Ln(III)) and americium (Am(III)) and, notably sites that are selective within the Ln(III) series or between Am(III) and Ln(III).
It will build upon recent work by the BIAM/IPM and DES/LILA teams, which demonstrated the possibility of generating affine binding sites for Ln(III) and Am(III), with LogK = 9–12, by introducing a lanthanide-binding peptide (LBT, Nitz et al. 2004) in place of the calcium-binding site on a truncated form of calmodulin (Berthomieu et al. 2026; Daronnat et al. in preparation).
The aim of this thesis is to explore the effect of modifications to the amino acid sequence involved in lanthanide binding at sites 1 and 2 of the N-terminal domain of calmodulin on the protein’s affinity and its intra-lanthanide or Ln(III)-Am(III) selectivity, as well as their impact on potential cooperative binding between the two sites. Smaller proteins/peptides will also be studied to optimize capture capabilities and enable the acquisition of structural data via solution NMR.
This thesis will involve protein engineering (focused directed evolution, post-translational modifications) guided by AI and molecular dynamics approaches, as well as the analysis of protein–f-element interaction properties using complementary spectroscopy and analytical chemistry techniques (notably UV-Vis, Fluorescence, TRLIFS, FTIR, NMR, ITC and protein crystallography). It will make it possible to assess the feasibility of implementing bio-based approaches for the selective extraction of f-elements.

Uncovering the signaling roles of inositol polyphosphates in plant growth and development

Inositol polyphosphates (InsPs), particularly their pyrophosphate derivatives (PP-InsPs), are recently characterized as signaling molecules present in all eukaryotes. Extensive research has been conducted on the PP-InsP pathway revealing its impacts on organogenesis and various diseases such as cancer metastasis, obesity, and diabetes. Cellular PP-InsPs exist in low concentrations, complex isoforms, and turnover fast, therefore, making them a real challenge to monitor and to analyze. This restricts the PP-InsP study especially on defining their specific roles or putatively variable distribution among cells/tissues. To solve the problem, this project aims to create cellular reporters for monitoring PP-InsPs in real-time. Given the PP-InsP pathway is conserved, the development of the PP-InsP sensors in plants will have a broader impact on the study of to the fundamental characteristics of PP-InsP signaling in animals. For example, the transfer of the PP-InsP reporters to cancer cell lines for possibility to use it for better understanding of PP-InsP-regulated cancer metastasis in the future.

Study of the rare earth elements selective detection in Pseudomonas putida and development of chelating architectures

Rare earths (REE) are widely used in high technology, and demand for REE is set to double over the next 30 years. The selective extraction and recycling of REE has a triple challenge: economic, technological and ecological. Currently, less than 1% of REEs are recycled. What's more, extraction methods are tedious and polluting. They require several stages with acids or solvents. The discovery in 2011 of enzymes that naturally use light REE has opened up new prospects. The development of biosourced methods could be a key element in unlocking current selectivity and extraction barriers. This thesis is part of the biotechnologies of tomorrow theme. The aim of this thesis is to acquire fundamental data on the molecular mechanism of a biological system for selective TR perception in order to take advantage of it for the development of selective chelating architectures. To do this, a screen based on the use of fluorescent reporters that respond specifically to certain TRs will be used. Cell biology, biochemistry, and in silico analysis techniques using artificial intelligence tools will be used to accomplish this project. The results obtained will identify: 1) the molecular mechanism of TR detection, 2) the factors influencing selectivity, and 3) the development of selective chelating architectures based on 1) and 2).

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