Biology subjects

Aboulouard, S.

Publications and source records attributed to Aboulouard, S..

5 recordsLinked to original sources

bioRxiv2025

Sex-dependent effects of maternal high-fat diet during lactation in adult THY-Tau22 mice offspring

The perinatal environment has been suggested to participate to the development of tauopathies and Alzheimers disease but the molecular and cellular mechanisms involved remain contradictory and under-investigated. Here, we evaluated the effects of a maternal high-fat diet (HFD) during lactation on the development of tauopathy in the THY-Tau22 mouse strain, a model of progressive tau pathology associated with cognitive decline. During lactation, dams were fed either a chow diet (13.6% of fat) or a HFD (58% of fat). At weaning, offspring was fed a chow diet until sacrifice at 4 months of age (the onset of tau pathology) or 7 months of age (the onset of cognitive impairment). During lactation, maternal HFD increased body weight gain in offspring. At 3 months of age, maternal HFD led to a mild glucose intolerance only in male offspring. Moreover, it impaired spatial memory in both male and female 6-month-old offspring, with males being more impacted. These cognitive deficits were associated with increased phosphorylation of hippocampal tau protein-observed at 4 months in males and at 7 months in females, highlighting a sex-specific temporal shift. Additionally, maternal HFD modified adult hippocampal neurogenesis (AHN), leading to an increase of mature neuronal cells number in females and of dendritic arborization length in males. Synaptic analysis further revealed that maternal HFD led to synaptic loss only in males. Finally, multi-omics approaches showed that maternal HFD has long-term consequences on both transcriptome, proteome and regulome, this effect being also sex-dependent with mitochondrial pathways, ribosomal activity, cilium and the extracellular matrix predominantly impacted in males, while gliogenesis, myelination and synaptic plasticity were primarily affected in females. Regulome analysis suggested that this sex-dependent phenotype was more related to a temporal shift rather than distinct sex-specific alterations. Collectively, our data suggest that maternal malnutrition accelerates the development of tauopathy in THY-Tau22 offspring, with sex-dependent effects, males being impacted earlier than females. These findings highlight the critical role of the perinatal environment as a key window of opportunity for interventions aimed at preventing the development of neurodegenerative diseases.

neuroscience↗

bioRxiv2022

Establishment and characterization of a tumoroid biobank derived from dog patients' mammary tumors for translational research

Breast cancer is the most frequent cancer among women causing the greatest number of cancer-related deaths. Cancer heterogeneity is a main obstacle to therapies. Around 96% of the drugs fail from discovery to the clinical trial phase probably because of the current unreliable preclinical models. New models emerge such as companion dogs who develop spontaneous mammary tumors resembling human breast cancer in many clinical and molecular aspects. The present work aimed at developing a robust canine mammary tumor model in the form of tumoroids which recapitulate the tumor diversity and heterogeneity. We conducted a complete characterization of these canine mammary tumoroids through histologic, molecular and proteomic analysis, demonstrating their strong similarity to the primary tumor. We demonstrated that these tumoroids can be used as a drug screening model. In fact, we showed that Paclitaxel, a human chemotherapeutic, could killed canine tumoroids with the same efficacy as human tumoroids with 0.1 to 1 M of drug needed to kill 50% of the cells. Due to easy tissue availability, canine tumoroids can be produced at larger scale and cryopreserved to constitute a biobank. We have demonstrated that cryopreserved tumoroids keep the same histologic and molecular features (ER, PR and HER2 expression) as fresh tumoroids. Two techniques of cryopreservation were compared demonstrating that tumoroids made from frozen tumor material allowed to maintain a higher molecular diversity. These findings revealed that canine mammary tumoroids can be easily generated at large scale and can represent a more reliable preclinical model to investigate tumorigenesis mechanisms and develop new treatments for both veterinary and human medicine.

cancer biology↗

bioRxiv2021

Towards high spatially resolved microproteomics using expansion microscopy

Expansion microscopy is an emerging approach for morphological examination of biological specimens at nanoscale resolution using conventional optical microscopy. To achieve physical separation of cell structures, tissues are embedded in a swellable polymer and expanded several folds in an isotropic manner. This work shows the development and optimization of physical tissue expansion as a new method for spatially resolved large scale proteomics. Herein, we established a novel method to enlarge the tissue section to be compatible with manual microdissection on regions of interest and to carry out MS-based proteomic analysis. A major issue in the Expansion microscopy is the loss of proteins information during the mechanical homogenization phase due to the use of Proteinase K. For isotropic expansion, different homogenization agents are investigated, both to maximize protein identification and to minimize protein diffusion. Better results are obtained with SDS. From a tissue section enlarge more than 3-fold, we have been able to manually cut out regions of 1mm in size, equivalent to 300{micro}m in their real size. We identified up to 655 proteins from a region corresponding to an average of 940 cells. This approach can be performed easily without any expensive sampling instrument. We demonstrated the compatibility of sample preparation for expansion microscopy and proteomic study in a spatial context. Abstract graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/433765v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@14cc519org.highwire.dtl.DTLVardef@1201e36org.highwire.dtl.DTLVardef@19fa853org.highwire.dtl.DTLVardef@e4112a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2020

Overall patient's survival of glioblastoma associated to molecular markers: a pan-proteomic prospective study

Molecular heterogeneities are a key feature of glioblastoma (GBM) pathology impeding patients stratification and leading to high discrepancies between patients mean survivals. Here, we established a molecular classification of GBM tumors using a pan-proteomic analysis. Then, we identified, from our proteomic data, 2 clusters of biomarkers associated with good or bad patient survival from 46 IDH wild-type GBMs. Three molecular groups have been identified and associated with systemic biology analyses. Group A tumors exhibit neurogenesis characteristics and tumorigenesis. Group B shows a strong immune cell signature and express poor prognosis markers while group C tumors are characterized by an anti-viral signature and tumor growth proteins. 124 proteins were found statistically different based on patients survival times, of which 10 are issued from alternative AltORF or non-coding RNA. After statistical analysis, a panel of markers associated to higher survival (PPP1R12A, RPS14, HSPD1 and LASP1) and another panel associated to lower survival (ALCAM, ANXA11, MAOB, IP_652563 and IGHM) has been validated by immunofluorescence. Taken together, our data will guide GBM prognosis and help to improve the current GBM classification by stratifying the patients and may open new opportunities for therapeutic development. SignificanceGlioblastoma are very heterogeneous tumors with median survivals usually inferior to 20 months. We conducted a pan-proteomics analysis of glioblastoma (GBM) in order to stratify GBM based on the molecular contained. Forty-six GBM cases were classified into three groups where proteins are involved in specific pathways i.e. the first group has a neurogenesis signature and is associated with a better prognosis while the second group of patients has an immune profile with a bad prognosis. The third group is more associated to tumorigenesis. We correlated these results with the TCGA data. Finally, we have identified 28 new prognostic markers of GBM and from these 28, a panel of 4 higher and 5 lower survival markers were validated. With these 9 markers in hand, now pathologist can stratify GBM patients and can guide the therapeutic decision. HighlightsO_LIA novel stratification of glioblastoma based on mass spectrometry was established. C_LIO_LIThree groups with different molecular features and survival were identified. C_LIO_LIThis new classification could improve prognostication and may help therapeutic options. C_LIO_LI8 prognosis markers for oncologist therapeutic decision have been validated. C_LI

cancer biology↗

bioRxiv2020

On-tissue spatially-resolved glycoproteomics guided by N-glycan imaging reveal global dysregulation of canine glioma glycoproteomic landscape

Here we present an approach to identify N-linked glycoproteins and deduce their spatial localization using a combination of MALDI mass spectrometry N-glycan imaging and spatially-resolved glycoproteomic strategies. We subjected formalin-fixed, paraffin-embedded glioma biopsies to on-tissue PNGaseF digestion and MALDI imaging and found that the glycan HexNAc4-Hex5-NeuAc2 was found to be predominantly expressed in necrotic regions of high-grade canine gliomas, whereas high mannose HexNAc2-Hex5 was predominantly found in benign regions. To determine the underlying sialo-glycoprotein, various regions in adjacent tissue sections were subjected to microdigestion and the extracts were analyzed by LC-MS/MS without further glycopeptide enrichment. Results identified haptoglobin, which is involved in iron scavenging that presents aberrant fucosylation/sialylation in various cancers, as the protein associated with HexNAc4-Hex5-NeuAc2. Additionally, we identified several high-mannose (Hex2-HexNAc5) glycopeptides enriched in benign regions. To the best of our knowledge, this is the first report that directly links glycan imaging with intact glycopeptide identification. In total, our spatially-resolved glycoproteomics technique identified over 400 N-glycosylated, O-GalNAcylated, O-mannosylated, and S- and O-GlcNAcylated glycopeptides from over 30 proteins, demonstrating the diverse array of glycosylation present on the tissue slides and the sensitivity of our technique. While N-glycosylation and O-mannosylation were similar between benign and tumor/necrotic sections, S- and O-GlcNAc glycopeptides were significantly deceased in tumor/necrotic sections, whereas sialylated O-GalNAc glycopeptides were significantly upregulated. Ultimately, this proof-of-principle work demonstrates the capability of spatially-resolved glycoproteomics to complement MALDI-imaging technologies in understanding dysregulated glycosylation in cancer.

cancer biology↗