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Franck Molina

Publications and source records attributed to Franck Molina.

12 recordsLinked to original sources

Impact of RNA degradation on gene expression profiles: assessment of different methods to reliably determine RNA quality.

DNA microarray technology enables investigators to measure the expression of several 1000 mRNA species simultaneously in a biological specimen. However, the reliability of the microarray technology to detect transcriptional differences representative of the original samples is affected by the quality of the extracted RNA. Thus, it is of critical importance to standardize sample-handling protocols and to perform a quality assessment of RNA preparations. In this report, 59 human tissue samples were used to evaluate the relationships between RNA quality and gene expression. From Affymetrix GeneChip array data analysis of these samples, we compared the performance of the 28S/18S ratio, two computer methods (RIN and degradometer) and our in-house RNA quality scale (RQS) in assessing RNA quality. The optimal RNA reliability threshold was determined for each method using statistical discrimination measures. We showed that RQS, RIN and degradometer have a similar capacity to detect reliable RNA samples whereas the 28S/18S ratio leads to a misleading categorization. Furthermore, we developed a new approach, based on clustering analyses of full chip expression, to control RNA quality after hybridization experiments. The combination of these methods, allowing monitoring of RNA quality prior to and after the hybridization experiments, ensured reliable and reproducible microarray data.

Cluster Analysis↗

Discontinuous epitope prediction based on mimotope analysis.

MOTIVATION: Phage display is a widespread technique used to obtain peptide mimotopes selected by binding to a given monoclonal antibody in a similar way as the native epitope. However, the localization of the interaction site mimicked by the mimotopes on the surface of the antigen is not always a straightforward task. MIMOP is a computational tool developed with the aim of helping experimentalists to analyze a set of mimotope sequences and guide them in the identification of the mimicked region. RESULTS: To predict potential epitopic regions, MIMOP integrates two different approaches combining two- and three-dimensional analyses: MimAlign starts from degenerated alignment analyses, and MimCons is based on consensus identification. The relevance and usefulness of the tool are illustrated by four use cases corresponding to real-life situations.

Algorithms↗

A description scheme of biological processes based on elementary bricks of action.

With the fast growth of high-throughput strategies in Biology, there is a strong need to accelerate knowledge acquisition and organization of molecular functions. Unfortunately, although we know that there is a correlation between protein molecules and their functions, we are unable to clearly identify this link. Here, we revisit the current views of protein functions as well as their annotation, and we show that they are incompatible with unambiguous interpretations and the use of this knowledge. We describe herein a description scheme for biological processes based on elementary bricks of action that may be associated with biological molecules. To retrieve the descriptive quality found in annotations of other kinds of biological data, it was decided to develop a scheme involving four levels of abstraction: Basic Elements of Action, Biological Activities, Biological Functionalities and Biological Roles. This multi-level organization is a generic method; it allows for a description of biological processes by using a limited number of elementary bricks of action. Moreover, by using this description of biological processes, it should now be possible to clearly identify unambiguous relationships between the organization of biological processes and the structural or functional organizations of biological molecules.

Algorithms↗

The anti-Müllerian hormone type II receptor: insights into the binding domains recognized by a monoclonal antibody and the natural ligand.

Anti-Müllerian hormone (AMH) [also called Müllerian inhibiting substance (MIS)] is a member of the transforming growth factor-beta family. AMH and its type II receptor (AMHR-II) are involved in the regression of the Müllerian ducts in the male embryo, and in gonadal functions in the adult. AMH is also known to be a marker of granulosa and Sertoli cell tumours. We selected a high-affinity monoclonal antibody, mAb 12G4, specific for human AMHR-II (hAMHR-II), by FACS analysis, Western blotting and immunohistochemical staining of a hAMHR-II-transfected CHO (Chinese hamster ovary) cell line, normal adult testicular tissue and granulosa cell tumours. Using peptide array screening, we identified the binding sequences of mAb 12G4 and AMH on the receptor. Identification of Asp53 and Ala55 as critical residues in the DRAQVEM minimal epitopic sequence of mAb 12G4 definitively accounted for the lack of cross-reactivity with the murine receptor, in which there is a glycine residue in place of an aspartic acid residue. In a structural model, the AMH-binding interface was mapped to the concave side of hAMHR-II, whereas the mAb 12G4-binding site was located on the convex side. mAb 12G4, the first mAb to be raised against hAMHR-II, therefore has unique properties that could make it a valuable tool for the immunotargeting of tumours expressing this receptor.

Alanine↗

Pharmacoproteomic approach to the study of drug mode of action, toxicity, and resistance: applications in diabetes and cancer.

Proteomics is a powerful technique for investigating protein expression profiles in biological systems and their modifications in response to stimuli or to particular physiological or pathophysiological conditions. It is therefore a technique of choice for the study of drug mode of action, side-effects, toxicity and resistance. It is also a valuable approach for the discovery of new drug targets. All these proteomic applications to pharmacological issues may be called pharmacoproteomics. The pharmacoproteomic approach could be particularly useful for the identification of molecular alterations implicated in type 2 diabetes and for further characterization of existing or new drugs. In oncology, proteomics is widely used for the identification of tumour-specific protein markers, and pharmacoproteomics is used for the evaluation of chemotherapy, particularly for the characterization of drug-resistance mechanisms. The large amount of data generated by pharmacoproteomic screening requires the use of bioinformatic tools to insure a pertinent interpretation. Herein, we review the applications of pharmacoproteomics to the study of type 2 diabetes and to chemoresistance in different types of cancer and the current state of this technology in these pathologies. We also suggest a number of bioinformatic solutions for proteomic data management.

Animals↗

Data processing and exchange tools to facilitate chemical genetic screening processes.

Due to the development of chemical genomics, the screening of chemical libraries is used more and more by research laboratories to identify small molecule inhibitors or activators of cell functions. To facilitate the treatment and archiving of screening data, we developed a multiuser web application called Elisa Data Exchanger (EDE). The program is able to automatically identify which chemical compounds were tested. Several data exchange formats can be generated for visualization, printing, charting, or exporting to chemical analysis software. These data exchange functions allow for a comparison of results obtained from screening several targets in order to select the most specific compounds. EDE is freely available online at https://ibph.pharma.univ-montpl.fr/ede/ (login: evalede, password: loginede).

Combinatorial Chemistry Techniques↗

Synthesis and NMR structure of p41icf, a potent inhibitor of human cathepsin L.

The total synthesis and structural characterization of the MHCII-associated p41 invariant chain fragment (P41icf) is described. P41icf plays a crucial role in the maturation of MHC class II molecules and antigen processing, acting as a highly selective cathepsin L inhibitor. P41icf synthesis was achieved using a combined solid-phase/solution approach. The entire molecule (65 residues, 7246 Da unprotected) was assembled in solution from fully protected peptides in the size range of 10 residues. After deprotection, oxidative folding in carefully adjusted experimental conditions led to the completely folded and functional P41icf with a disulfide pairing identical to that of native P41icf. CD, NMR, and surface plasmon resonance (SPR) were used for the structural and functional characterization of synthetic P41icf. CD thermal denaturation showed clear cooperative behavior. Tight cathepsin L binding was demonstrated by SPR. (1)H NMR spectroscopy at 800 MHz of unlabeled P41icf was used to solve the three-dimensional structure of the molecule. P41icf behaves as a well-folded protein domain with a topology very close to the crystallographic cathepsin L-bound form.

Amino Acid Sequence↗

Mapping the paratope of anti-CD4 recombinant Fab 13B8.2 by combining parallel peptide synthesis and site-directed mutagenesis.

We analyzed antigen-binding residues from the variable domains of anti-CD4 antibody 13B8.2 using the Spot method of parallel peptide synthesis. Sixteen amino acids, defined as Spot critical residues (SCR), were identified on the basis of a 50% decrease in CD4 binding to alanine analogs of reactive peptides. Recombinant Fab 13B8.2 mutants were constructed with alanine residues in place of each of the 16 SCR, expressed in the baculovirus cell system, and purified. CD measurements indicated that the mutated proteins were conformationally intact, with a beta-sheet secondary structure similar to that of wild-type Fab. Compared with the CD4-binding capacity of wild-type Fab 13B8.2, 11 light (Y32-L, W35-L, Y36-L, H91-L, and Y92-L) and heavy chain (H35-H, R38-H, W52-H, R53-H, F100K-H, and W103-H) Fab single mutants showed a decrease in CD4 recognition as demonstrated by enzyme-linked immunosorbent assay, BIAcore, and flow cytometry analyses. The five remaining Fab mutants showed antigen-binding properties similar to those of wild-type Fab. Recombinant Fab mutants that showed decreased CD4 binding also lost their capacity to inhibit human immunodeficiency virus promoter activation and the antigen-presenting ability that wild-type Fab displays. Molecular modeling of the 13B8.2 antibody paratope indicated that most of these critical residues are appropriately positioned inside the putative CD4-binding pocket, whereas the five SCR that were not confirmed by mutagenesis show an unfavorable positioning. Taken together, these results indicate that most of the residues defined by the Spot method as critical matched with important residues defined by mutagenesis in the whole protein context. The identification of critical residues for CD4 binding in the paratope of anti-CD4 recombinant Fab 13B8.2 provides the opportunity for the generation of improved anti-CD4 molecules with more efficient pharmacological properties.

Alanine↗

Key role of the loop connecting the two beta strands of mussel defensin in its antimicrobial activity.

To elucidate the structural features of the mussel defensin MGD1 required for antimicrobial activity, we synthesized a series of peptides corresponding to the main known secondary structures of the molecule and evaluated their activity towards Gram-positive and Gram-negative bacteria, and filamentous fungi. We found that the nonapeptide corresponding to residues 25-33 of MGD1 (CGGWHRLRC) exhibited bacteriostatic activity once it was cyclized by a non-naturally occurring disulfide bridge. Longer peptides corresponding to the amino acid sequences of the alpha-helical part or to the beta-strands of MGD1 had no detectable activity. The bacteriostatic activity of the sequence 25-33 was strictly dependent on the bridging of Cys25 and Cys33 and was proportional to the theoretical isoelectric point of the peptide, as deduced from the variation of activity in a set of peptide analogues of the 25-33 sequence with different numbers of cationic charges. By using confocal fluorescence microscopy, we found that the cyclic peptides bound to Gram-positive bacteria without apparent lysis. However, by using a fluorescent dye, we observed that dead bacteria had been permeated by the cyclic peptide 25-33. Sequence comparisons in the family of arthopod defensins indicate that MGD1 belongs to a subfamily of the insect defensins, characterized by the constant occurrence of both positively charged and hydrophobic amino acids in the loop. Modelling studies showed that in the MGD1 structure, positively charged and hydrophobic residues are organized in two layered clusters, which might have a functional significance in the docking of MGD1 to the bacterial membrane.

Amino Acid Sequence↗

Application of the Spot method to the identification of peptides and amino acids from the antibody paratope that contribute to antigen binding.

Overlapping peptide scans prepared by Spot synthesis have been used to map interaction sites in several systems. Here we report our experience with this approach to identify peptides from the variable parts of anti-hapten, anti-peptide and anti-protein antibodies that retain their specific antigen-binding capacity in the Spot format. In general, the identification by the Spot method of antigen-reactive peptides was confirmed by using soluble peptides which demonstrated antigen-binding capacity in ELISA or Biacore and, biological activity for some peptides derived from anti-CD4 antibodies. The Spot method was also used to map precisely key residues from the antibody paratope. The identification of critical residues from an anti-troponin I antibody of diagnostic interest is reported as well as the compiled results from the analysis of five other antibodies of various specificities. A critical assessment of our results is provided by comparing results obtained by our approach in the mapping of antibody residues critical for antigen binding with data from the literature concerning the structural analysis of antigen-antibody complexes.

Amino Acid Motifs↗

Molecular basis for the cross-reactivity of antibodies elicited by a natural anatoxin with alpha- and beta-toxins from the venom of Tityus serrulatus scorpion.

A non-toxic protein (TsNTxP) isolated from the venom of the noxious scorpion Tityus serrulatus (Ts) induces polyclonal antibodies cross-reactive with several toxins from the venom, in sharp contrast to anti-toxin antibodies which are toxin specific. To try to uncover the molecular basis for these unusual properties, peptide scanning experiments were performed and indicated that the N- and C-terminal parts of TsNTxP enclose continuous epitopes (residues 1-15 and 47-61). Antibodies raised against peptides corresponding to these two regions were found to have neutralizing properties against a mixture of all toxic proteins from the T. serrulatus venom, indicating that residues 1-15 and 47-61 correspond to neutralizing epitopes. The identification of key antigenic residues within these two epitopes revealed that several of them are well conserved in the amino-acid sequences of the three main toxins (Ts II, Ts IV and Ts VII) from the venom: Glu 3, Tyr 5, Asp 8, Asp 50, Trp 55 and Lys 61. A single key-residue (Glu 58) is unique to TsNTxP. By using homology modeling, a model of the three-dimensional structure of TsNTxP was obtained. The antigenically important residues from TsNTxP were found to be surface exposed, with five of them clustered on the facet of the protein reported to enclose the active site of toxins. Residues equivalent to the seven key-residues of the anatoxin were also found to be exposed in the active toxins from T. serrulatus venom. These results show that antibodies elicited by the non-toxic protein TsNTxP recognized, within the N- and C-terminal parts of toxins of T. serrulatus, conserved and surface exposed residues which might also be involved in the toxic action of the proteins.

Amino Acid Sequence↗

Hyperstructures, genome analysis and I-cells.

New concepts may prove necessary to profit from the avalanche of sequence data on the genome, transcriptome, proteome and interactome and to relate this information to cell physiology. Here, we focus on the concept of large activity-based structures, or hyperstructures, in which a variety of types of molecules are brought together to perform a function. We review the evidence for the existence of hyperstructures responsible for the initiation of DNA replication, the sequestration of newly replicated origins of replication, cell division and for metabolism. The processes responsible for hyperstructure formation include changes in enzyme affinities due to metabolite-induction, lipid-protein affinities, elevated local concentrations of proteins and their binding sites on DNA and RNA, and transertion. Experimental techniques exist that can be used to study hyperstructures and we review some of the ones less familiar to biologists. Finally, we speculate on how a variety of in silico approaches involving cellular automata and multi-agent systems could be combined to develop new concepts in the form of an Integrated cell (I-cell) which would undergo selection for growth and survival in a world of artificial microbiology.

Algorithms↗