Laurence Choulier

An Arabidopsis Dual-Localized Pentatricopeptide Repeat Protein Interacts with Nuclear Proteins Involved in Gene Expression Regulation

This work examines a novel PPR protein that localizes to both mitochondria and nuclei in Arabidopsis. In mitochondria, it associates with polysomes, and in the nucleus, it interacts with a nucleosome assembly protein and a TCP transcription factor. This PPR protein might play a role in gene expression adjustments between mitochondria and the nucleus. Following the endosymbiotic acquisition of mitochondria by eukaryotic cells, most of the genes in this organelle were transferred to the nucleus. To maintain mitochondrial biogenesis and function, nuclear and mitochondrial genomes require regulated and coordinated expression. In plant organelles, nuclear-encoded proteins targeted to the organelles control posttranscriptional and posttranslational mechanisms. Pentatricopeptide repeat (PPR) proteins are good candidates to play such regulatory roles. Here, we identify PNM1 (for PPR protein localized to the nucleus and mitochondria 1), a novel PPR protein that is dual localized to mitochondria and nuclei in Arabidopsis thaliana, as observed by green fluorescent protein fusions and immunodetection on subcellular fractions and on histological sections. Genetic complementation showed that loss of PNM1 function in mitochondria, but not in nuclei, is lethal for the embryo. In mitochondria, it is associated with polysomes and may play a role in translation. A genetic screen in yeast identified protein partners of PNM1. These partners, the nucleosome assembly protein NAP1, and the transcription factor TCP8 interact with PNM1 in the nucleus in planta. Furthermore, TCP8 can bind the promoter of PNM1. This suggests that PNM1 might be involved in the regulation of its own gene expression in the nucleus and could thus play a role in gene expression adjustments between mitochondria and the nucleus.

A Peptide-Based, Ratiometric Biosensor Construct for Direct Fluorescence Detection of a Protein Analyte

We present the design, synthesis, and functional evaluation of peptide-based fluorescent constructs for wavelength-ratiometric biosensing of a protein analyte. The concept was shown using the high-affinity model interaction between the 18 amino acid peptide pTMVP and a recombinant antibody fragment, Fab57P. pTMVP was functionalized in two different positions with 6-bromomethyl-2-(2-furanyl)-3-hydroxychromone, an environmentally sensitive fluorophore with a two-band emission. The equilibrium dissociation constant of the interaction between pTMVP and Fab57P was largely preserved upon labeling. The biosensor ability of the labeled peptide constructs was evaluated in terms of the relative intensity change of the emission bands from the normal (N*) and tautomer (T*) excited-state species of the fluorophore ( I(N*)/I(T*)) upon binding of Fab57P. When the peptide was labeled in the C terminus, the I(N*)/I(T*) ratio changed by 40% upon analyte binding, while labeling close to the residues most important for binding resulted in a construct that completely lacked ratiometric biosensor ability. Integrated biosensor elements for reagentless detection, where peptides and ratiometric fluorophores are combined to ensure robustness in both recognition and signaling, are expected to become an important contribution to the design of future protein quantification assays in immobilized formats.

Effects on interaction kinetics of mutations at the VH-VL interface of Fabs depend on the structural context.

The influence of framework residues belonging to VH and VL modules of antibody molecules on antigen binding remains poorly understood. To investigate the functional role of such residues, we have performed semi‐conservative amino acid replacements at the VH–VL interface. This work was carried out with (i) variants of the same antibody and (ii) with antibodies of different specificities (Fab fragments 145P and 1F1h), in order to check if functional effects are additive and/or similar for the two antibodies. Interaction kinetics of Fab mutants with peptide and protein antigens were measured using a BIACORE® instrument. The substitutions introduced at the VH–VL interface had no significant effects on ka but showed small, significant effects on kd. Mutations in the VH module affected kd not only for the two different antibodies but also for variants of the same antibody. These effects varied both in direction and in magnitude. In the VL module, the double mutation FL37L–QL38L, alone or in combination with other mutations, consistently decreased kd about two‐fold in Fab 145P. Other mutations in the VL module had no effect on kd in 145P, but always decreased kd in 1F1h. Moreover, in both systems, small‐magnitude non‐additive effects on kd were observed, but affinity variations seemed to be limited by a threshold. When comparing functional effects in antibodies of different specificity, no general rules could be established. In addition, no clear relationship could be pointed out between the nature of the amino acid change and the observed functional effect. Our results show that binding kinetics are affected by alteration of framework residues remote from the binding site, although these effects are unpredictable for most of the studied changes. Copyright

Predicting the kinetics of peptide–antibody interactions using a multivariate experimental design of sequence and chemical space

A multivariate approach involving modifications in peptide sequence and chemical buffer medium was used as an attempt to predict the kinetics of peptide‐antibody interactions. Using a BIACORE® system the kinetic parameters of the interaction of Fab 57P with 18 peptide analogues of an epitope of tobacco mosaic virus protein were characterized in 20 buffers of various pH values and containing different chemical additives (NaCl, urea, EDTA, KSCN and DMSO). For multivariate peptide design, three amino acid positions were selected because their modification was known to moderately affect binding, without abolishing it entirely. Predictive mathematical models were developed which related kinetic parameters (ka or kd) measured in standard buffer to the amino acid sequence of the antigen. ZZ‐scales and a helix‐forming‐tendency (HFT) scale were used as descriptors of the physico‐chemical properties of amino acids in the peptide antigen. These mathematical models had good predictive power (Q2 = 0.49 for ka, Q2 = 0.73 for kd). For the non‐essential residues under study, HFT and charge were found to be the most important factors that influenced the activity. Experiments in 19 buffers were performed to assess the sensitivity of the interactions to buffer composition. The presence of urea, DMSO and NaCl in the buffer influenced binding properties, while change in pH and the presence of EDTA and KSCN had no effect. The chemical sensitivity fingerprints were different for the various peptides. The results indicate that multivariate experimental design and mathematical modeling can be applied to the prediction of interaction kinetics. Copyright

Delineation of a linear epitope by multiple peptide synthesis and phage display

Two different approaches, the phage display technique and the Spot peptide synthesis on cellulose membranes, were used to identify sequences recognized by Fab 57P, specific for tobacco mosaic virus protein (TMVP), and define the preferred chemical composition of a functional epitope. Kinetic measurements of the interaction between peptide variants and the antibody fragment were used to further refine the molecular basis of binding activity. Our results show that the functional epitope of Fab 57P requires precise physico-chemical properties at a limited number of positions, and that residues flanking these key residues can influence binding affinity. The phage display and Spot synthesis methods allowed the straightforward localization of the binding region and the identification of residues that are essential for recognition. However, these methods yielded slightly different views of accessory factors that are able to influence antibody binding. The influence on binding activity of these factors can only be assessed through quantitative affinity measurements.

Environmentally Sensitive Fluorescent Sensors Based on Synthetic Peptides

Biosensors allow the direct detection of molecular analytes, by associating a biological receptor with a transducer able to convert the analyte-receptor recognition event into a measurable signal. We review recent work aimed at developing synthetic fluorescent molecular sensors for a variety of analytes, based on peptidic receptors labeled with environmentally sensitive fluorophores. Fluorescent indicators based on synthetic peptides are highly interesting alternatives to protein-based sensors, since they can be synthesized chemically, are stable, and can be easily modified in a site-specific manner for fluorophore coupling and for immobilization on solid supports.

Covariance analysis of protein families: The case of the variable domains of antibodies

A nonrestrictive method for identifying covariance in protein families is described and applied to human and mouse germline Vκ and VH sequence alignments. Amino acids that occur at each position in a sequence alignment are divided into two sets, called a word, by generating all possible combinations of alternative amino acids. Each word is associated with a pattern of changes. Words with identical patterns identify covariant positions. In antibody variable domains, the number of words generated ranged between 1103 and 2195 depending on the alignment, of which 4 to 12 % occurred in covariant pairs. Despite the nonrestrictive character of pattern generation, covariant residues did not reflect a random selection with respect to the nature of amino acid changes and/or their spatial proximity in a reference crystallographic structure. This approach allowed the identification of a covariance signal for positions with high variability, mostly located in the outer part of the common structural framework of antibody variable domains. Covariance in these regions may reflect the existence of alternative and mutually exclusive atomic arrangements that are compatible with antibody function. The method may be of general applicability to rationalize residue variability in protein families. Proteins 2000;41:475–484.

Chemical Library Screening Using a SPR-Based Inhibition in Solution Assay: Simulations and Experimental Validation

We have developed a surface plasmon resonance (SPR)-based inhibition in solution assay (ISA) to search for inhibitors of the medium affinity (KD = 0.8 μM) interaction between an E6-derived peptide (E6peptide) immobilized on the sensor and a PDZ domain (MAGI-1 PDZ1) in the mobile phase. DZ domains are widespread protein-protein interaction modules that recognize the C-terminus of various partners. Simulations indicated that relatively low compound concentrations (10 μM) and limited peptide densities (Rmax < 200 resonance units) should allow the detection of inhibitors with a target affinity close to 100 μM, which was then demonstrated experimentally. ISA screening, carried out on the Prestwick Chemical Library® (1120 compounds), identified 36 compounds that inhibited the interaction by more than 5%. Concentration-dependent ISA, carried out on a subset of 19 potential inhibitors, indicated that 13 of these indeed affected the interaction between MAGI-1 PDZ1 and the E6peptide. No effect was observed for 84 compounds randomly chosen among noninhibitors. One of the four best inhibitors was a peptide binder, and three were PDZ binders with KD in the 10-50 μM range. We propose that a medium (μM) affinity between the target and surface-bound partner is optimal for SPR-based ISA screening.

Small-molecule negative modulators of adrenomedullin: design, synthesis, and 3D-QSAR study.

Adrenomedullin (AM) is a peptidic hormone that was isolated in 1993, the function of which is related to several diseases such as diabetes, hypertension, and cancer. Compound 1 is one of the first nonpeptidic small‐molecule negative modulators of AM, identified in a high‐throughput screen carried out at the National Cancer Institute. Herein we report the synthesis of a series of analogues of 1. The ability of the synthesized compounds to disrupt the binding between AM and its monoclonal antibody has been measured, together with surface plasmon resonance (SPR)‐based binding assays as implemented with Biacore technology. These data were used to derive a three‐dimensional quantitative structure–activity relationship (3D‐QSAR) model, with a q2 (LOO) value of 0.8240. This study has allowed us to identify relevant features for effective binding to AM: the presence of a hydrogen‐bond donor group and an aromatic ring. Evaluation of the ability of selected compounds to modify cAMP production in Rat2 cells showed that the presence of a free carboxylic acid is essential for negative AM modulation.

Chapter 4:Surface Plasmon Resonance

Surface Plasmon Resonance (SPR) biosensors monitor association and dissociation events between a binding partner that is immobilized on a sensor surface and the other partner injected over the surface. The SPR signal, which is related to the mass of molecules at the sensor surface, is plot as a function of time. The shape of the resulting curves depends on molecular concentrations of binding partners, kinetic on- and off-rate parameters and binding stoichiometry. Their mathematical analysis therefore allows calculating one or several of these parameters. Because of the high-information content of SPR data, the technology has numerous applications in research and biotechnology for the identification of binders and for the detailed characterization of binding. In particular, SPR is widely used in the development of therapeutic molecules, which is illustrated with antibodies and chemical compounds.