Ali Bouamrani

Increased Phosphorylation of Vimentin in Noninfiltrative Meningiomas

Background Tissue invasion or tissue infiltration are clinical behaviors of a poor-prognosis subset of meningiomas. We carried out proteomic analyses of tissue extracts to discover new markers to accurately distinguish between infiltrative and noninfiltrative meningiomas. Methodology/Principal Findings Protein lysates of 64 different tissue samples (including two brain-invasive and 32 infiltrative tumors) were submitted to SELDI-TOF mass spectrometric analysis. Mass profiles were used to build up both unsupervised and supervised hierarchical clustering. One marker was found at high levels in noninvasive and noninfiltrative tumors and appeared to be a discriminative marker for clustering infiltrative and/or invasive meningiomas versus noninvasive meningiomas in two distinct subsets. Sensitivity and specificity were 86.7% and 100%, respectively. This marker was purified and identified as a multiphosphorylated form of vimentin, a cytoskeletal protein expressed in meningiomas. Conclusions/Significance Specific forms of vimentin can be surrogate molecular indicators of the invasive/infiltrative phenotype in tumors.

Apolipoprotein A1: A new serum marker correlated to JAK2 V617F proportion at diagnosis in patients with polycythemia vera

Polycythemia vera (PV) is a myeloproliferative disorder (MPD) characterized by an acquired gain‐of‐function mutation of the JAK2 protein (JAK2 V617F). Allele‐specific quantitative PCR has showed a JAK2 V617F dosage effect on haematological and clinical parameters of PV at diagnosis, but it is unknown whether the level of certain serum proteins might correlate with the proportion of mutated JAK2. Taking into account that such proteins could represent useful prognostic marker, we investigated the serum protein profile of PV patients by SELDI‐TOF MS. We identified apolipoprotein A1 (Apo‐A1) as a serum marker correlated to the percentage of JAK2 V617F alleles; Apo‐A1 expression being the highest for PV patients with more than 75% of mutated alleles. Immuno‐assay on an automated random immuno‐analyser confirmed the correlation between Apo‐A1 concentrations and JAK2 V617F percentages, and showed that serum Apo‐A1 assay allowed the specific discrimination of PV patients with high levels of mutated alleles (≥75%). These data suggest that Apo‐A1 assay could be a useful assay for the stratification of PV patients at diagnosis.

Identification of proteomic signatures of mantle cell lymphoma, small lymphocytic lymphoma, and marginal zone lymphoma biopsies by surface enhanced laser desorption/ionization-time of flight mass spectrometry.

Mantle cell lymphoma (MCL), small lymphocytic lymphoma (SLL), and marginal zone lymphoma (MZL) are small B-cell non-Hodgkin lymphomas (NHLs) that may be difficult to distinguish. In order to identify specific proteomic biomarkers, differential proteomic analysis of these three NHLs was performed using surface enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS). Whole cell lysates obtained from 18 MCL, 20 SLL, and 20 MZL biopsies were applied on two different ProteinChips (cationic and anionic). Hierarchical clustering and discriminating scores combined with an innovative bio-informatics microdissection strategy allowed us to distinguish specific lymphoma proteomic signatures based on the expression of 37 protein peaks. SELDI-assisted protein purification combined with nano-liquid chromatography (LC) quadrupole-time of flight tandem mass spectrometry (Q-TOF MS/MS) was used to identify proteins overexpressed in both MCL and SLL tumors. Among them two histones, H2B and H4, were identified in MCL tumor biopsies and the signal recognition particle 9 kDa protein, SRP9, in SLL tumor biopsies.

A Micro-Silicon Chip for in Vivo Cerebral Imprint in Monkey

Access to cerebral tissue is essential to better understand the molecular mechanisms associated with neurodegenerative diseases. In this study, we present, for the first time, a new tool designed to obtain molecular and cellular cerebral imprints in the striatum of anesthetized monkeys. The imprint is obtained during a spatially controlled interaction of a chemically modified micro-silicon chip with the brain tissue. Scanning electron and immunofluorescence microscopies showed homogeneous capture of cerebral tissue. Nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS) analysis of proteins harvested on the chip allowed the identification of 1158 different species of proteins. The gene expression profiles of mRNA extracted from the imprint tool showed great similarity to those obtained via the gold standard approach, which is based on post-mortem sections of the same nucleus. Functional analysis of the harvested molecules confirmed the spatially controlled capture of striatal proteins implicated in dopaminergic regulation. Finally, the behavioral monitoring and histological results establish the safety of obtaining repeated cerebral imprints in striatal regions. These results demonstrate the ability of our imprint tool to explore the molecular content of deep brain regions in vivo. They open the way to the molecular exploration of brain in animal models of neurological diseases and will provide complementary information to current data mainly restricted to post-mortem samples.

The heterogeneity of meningioma revealed by multiparameter analysis: infiltrative and non-infiltrative clinical phenotypes

Tumor invasion or infiltration of adjacent tissues is the source of clinical challenges in diagnosis as well as prevention and treatment. Among brain tumors, infiltration of the adjacent tissues with diverse pleiotropic mechanisms is frequently encountered in benign meningiomas. We assessed whether a multiparametric analysis of meningiomas based on data from both clinical observations and molecular analyses could provide a consistent and accurate appraisal of invasive and infiltrative phenotypes and help determine the diagnosis of these tumors. Tissue analyses of 37 meningiomas combined enzyme-linked immunosorbent assay (ELISA) and surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) assays of two different protein biomarkers (thrombospondin 1 and a phosphorylated form of vimentin) as well as gene expression analyses with oligonucleotide micro-arrays. Up to four different clinical and molecular parameters were then examined for tumor classification. From this study, we were able to cluster 36 out of the 37 tumors into two different subsets corresponding to infiltrative/invasive and non-infiltrative tumors. In addition, meningiomas that invade brain and those that infiltrate the neighboring skull bone exhibited no distinguishable molecular features. Our multi-parameter analysis that combines clinical data, transcriptomic and molecular assays clearly reveals the heterogeneity of meningiomas and distinguishes the intrinsically infiltrative/invasive tumors from the non-infiltrative meningiomas.

Accessing to the minor proteome of red blood cells through the influence of the nanoparticle surface properties on the corona composition.

Nanoparticle (NP)–protein interactions in complex samples have not yet been clearly understood. Nevertheless, several studies demonstrated that NP’s physicochemical features significantly impact on the protein corona composition. Taking advantage of the NP potential to harvest different subsets of proteins, we assessed for the first time the capacity of three kinds of superparamagnetic NPs to highlight the erythrocyte minor proteome. Using both qualitative and quantitative proteomics approaches, nano-liquid chromatography–tandem mass spectrometry allowed the identification of 893 different proteins, confirming the reproducible capacity of NPs to increase the number of identified proteins, through a reduction of the sample concentration range and the capture of specific proteins on the three different surfaces. These NP-specific protein signatures revealed significant differences in their isoelectric point and molecular weight. Moreover, this NP strategy offered a deeper access to the erythrocyte proteome highlighting several signaling pathways implicated in important erythrocyte functions. The automated potentiality, the reproducibility, and the low-consuming sample demonstrate the strong compatibility of our strategy for large-scale clinical studies and may become a standardized sample preparation in future erythrocyte-associated proteomics studies.

Deep brain stimulation-associated brain tissue imprints: a new in vivo approach to biological research in human Parkinson’s disease

BackgroundDeep brain stimulation (DBS) of the subthalamic nucleus (STN) or the internal segment of the globus pallidus (GPi) has been established as a highly effective symptomatic therapy for Parkinson’s disease (PD). An intriguing biological aspect related to the DBS procedure is that a temporary contact establishes between surgical instruments and the surrounding brain tissue. In this exploratory study, we took advantage of this unique context to harvest brain material adhering to the stylet routinely used during surgery, and to examine the biological value of these samples, here referred to as “brain tissue imprints” (BTIs).ResultsNineteen BTIs from 12 STN- or GPi-electrode implanted patients were obtained in vivo during DBS surgery, without any modification of the surgical procedure. Immunofluorescence analyses confirmed that our approach allowed the harvesting of many neural cells including neurons harboring distinct neurotransmitter markers. Shotgun proteomic and transcriptomic analyses provided for the first time molecular information from DBS-associated brain samples, and confirmed the compatibility of this new type of sample with poly-omic approaches. The method appears to be safe and results consistent.ConclusionsWe here propose BTIs as original and highly valuable brain samples, and DBS-related brain imprinting as a new conceptual approach to biological research in living patients with PD.