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Biomedical subjects

Olivier Pible

Publications and source records attributed to Olivier Pible.

3 recordsLinked to original sources

Universal Identification of Pathogenic Viruses by Liquid Chromatography Coupled with Tandem Mass Spectrometry Proteotyping.

Accurate and rapid identification of viruses is crucial for an effective medical diagnosis when dealing with infections. Conventional methods, including DNA amplification techniques or lateral-flow assays, are constrained to a specific set of targets to search for. In this study, we introduce a novel tandem mass spectrometry proteotyping-based method that offers a universal approach for the identification of pathogenic viruses and other components, eliminating the need for a priori knowledge of the sample composition. Our protocol relies on a time and cost-efficient peptide sample preparation, followed by an analysis with liquid chromatography coupled to high-resolution tandem mass spectrometry. As a proof of concept, we first assessed our method on publicly available shotgun proteomics datasets obtained from virus preparations and fecal samples of infected individuals. Successful virus identification was achieved with 53 public datasets, spanning 23 distinct viral species. Furthermore, we illustrated the method's capability to discriminate closely related viruses within the same sample, using alphaviruses as an example. The clinical applicability of our method was demonstrated by the accurate detection of the vaccinia virus in spiked saliva, a matrix of paramount clinical significance due to its non-invasive and easily obtainable nature. This innovative approach represents a significant advancement in pathogen detection and paves the way for enhanced diagnostic capabilities.

Tandem Mass Spectrometry↗

INTERALIGN: interactive alignment editor for distantly related protein sequences.

SUMMARY: Improving and ascertaining the quality of a multiple sequence alignment is a very challenging step in protein sequence analysis. This is particularly the case when dealing with sequences in the 'twilight zone', i.e. sharing < 30% identity. Here we describe INTERALIGN, a dedicated user-friendly alignment editor including a view of secondary structures and a synchronized display of carbon alpha traces of corresponding protein structures. Profile alignment, using CLUSTALW, is implemented to improve the alignment of a sequence of unknown structure with the visually optimized structural alignment as compared with a standard multiple sequence alignment. Tree-based ordering further helps in identifying the structure closest to a given sequence.

Algorithms↗

Screening of human serum proteins for uranium binding.

About 20% of uranyl ions in serum are associated with the protein pool. A few of them such as transferrin have been characterized, but most still have to be identified to obtain a better explanation of the biochemical toxicology and kinetics of uranium. We designed an in vitro sensitive procedure involving a combination of bidimensional chromatography with time-resolved fluorescence, coupled with proteomic analysis, to identify uranium-binding proteins in human serum fractions. Ten novel targets were identified and validated using purified proteins and inductively coupled plasma mass spectrometry. Of these, ceruloplasmin, hemopexin, and two complement proteins displayed the capacity to bind uranium with stoichiometry greater than 1 mole of uranium per mole of protein. Not all of these targets are metalloproteins, suggesting that uranyl ions can use a wide variety of binding sites and coordination strategies. These data provide additional insights into a better understanding of uranium chemical toxicity.

Blood Proteins↗