Publications by authors named "Salzet M"

Introduction: The project, funded by the Agence Nationale de la Recherche, aims to evaluate the long-term outcomes of patients with oesophageal atresia (OA) between 13 and 14 years old and establish multiomics profiles using data from the world's biggest OA registry.

Methods And Analysis: is a national multicentre population-based cohort study recruiting participants from all qualified French centres for OA surgery at birth. The primary objective is to assess the prevalence of gastro-oesophageal reflux disease in adolescence among patients with OA, with several secondary objectives including the identification of risk factors and multiomic profiles from oesophageal biopsies and blood samples collected between 13 and 14 years old, compared with a control group.

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N-myc downstream-regulated gene 1 (NDRG1) is a member of the NDRG family of intracellular proteins and plays a central role in a wide range of biological processes including stress response, differentiation, and metabolism. The overexpression of NDRG1 is an indicator of poor prognosis in various types of cancer. Here, we found that NDRG1 is an independent prognostic marker of poor outcome in breast cancer (BC).

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  • Cancer progression and treatment effectiveness are significantly affected by the interactions between tumor cells and immune cells in the tumor microenvironment (TME).
  • The protocol outlined focuses on creating co-cultures of tumor organoids (tumoroids) with macrophages, which can either be semi-liquid or embedded in a Matrigel matrix.
  • The detailed steps include preparing macrophages, establishing the co-culture, and adjusting the medium to ensure cell viability and functionality, primarily aimed at breast cancer but adaptable to other tumors.
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  • Researchers introduced "dry proteomics," a method that uses MALDI MSI to study the relationship between lipids and proteins in tissues, focusing on spatial localization.
  • This approach was tested on rat brain tissue and later applied to human glioblastoma, revealing unique lipid signatures that correlate with specific proteins and biological pathways.
  • Despite challenges with incomplete lipid data from glioblastoma patients, a classification model based on protein information was developed to enhance prognostic predictions and understand tumor heterogeneity.
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Chimeric antigen receptor (CAR)-T-cell therapy has revolutionized cellular immunotherapy, demonstrating remarkable efficacy in hematological cancers. However, its application in solid tumors faces significant challenges, including limited T-cell infiltration and tumor-induced immunosuppression. Given the prominent role of macrophages in the tumor microenvironment, their phenotypic plasticity and inherent antitumor properties, such as phagocytosis, offer a promising avenue for therapeutic intervention.

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  • The ovarian follicle's development relies on factors from both the blood and follicular cells, with extracellular vesicles (EVs) playing a crucial role in communication within the follicle.
  • Recent findings indicate that EVs are involved in follicular development and disorders like polycystic ovary syndrome (PCOS), with different protein patterns seen in EVs from follicular fluid (FF) and plasma.
  • sEVs from normal patients enhance steroid hormone secretion in granulosa cells, while those from PCOS patients fail to do so, indicating that PCOS alters granulosa cell functions, including inflammation and steroid production.
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  • Proteogenomics integrates genomics and mass spectrometry to uncover both standard and alternative proteins, enhancing personalized medicine for conditions like ovarian cancer.
  • Through RNA-sequencing and protein database generation, researchers identified 128 reference proteins and 30 alternative proteins unique to ovarian cancer cell lines, uncovering a specific mutation in an alternative protein.
  • Advanced techniques like cross-linking mass spectrometry revealed interactions between alternative and reference proteins, suggesting that some alternative proteins may play crucial roles in important cellular processes such as DNA replication and repair.
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In context of cancer diagnosis-based mass spectrometry (MS), the classification model created is crucial. Moreover, exploration of immune cell infiltration in tissues can offer insights within the tumor microenvironment. Here, we present a protocol to analyze 1D and 2D MS data from glioblastoma tissues for cancer diagnosis and immune cells identification.

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There is growing interest in limiting the use of fungicides and implementing innovative, environmentally friendly strategies, such as the use of beneficial bacteria-triggered immunity, to protect grapevines from natural pathogens. Therefore, we need rapid and innovative ways to translate the knowledge of the molecular mechanisms underlying the activation of grapevine defenses against pathogens to induced resistance. Here, we have implemented an minimally invasive approach to study the interaction between plants and beneficial bacteria based on metabolic signatures.

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  • AI platforms are important tools in genetics and medicine, helping to analyze lots of patient data and find new diseases.
  • They are making it possible to better understand complex health issues and improve treatments for things like rare diseases and cancers.
  • These technologies are helping doctors make better decisions for patient care, leading to more personalized and effective treatments.
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  • 3D tumoroids enhance cancer research by mimicking the diversity and complexity of actual tumors, allowing for better understanding of cancer development and treatment responses.
  • The study addresses the limitations of tumoroids by incorporating human macrophages, which are crucial for tumor progression, into three co-culture models to better simulate the tumor microenvironment.
  • Research findings reveal that macrophages affect molecular characteristics of tumoroids and their responses to chemotherapy, highlighting the need for more complex 3D models to accurately represent real-life tumor conditions.
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Glioblastoma is a highly heterogeneous and infiltrative form of brain cancer associated with a poor outcome and limited therapeutic effectiveness. The extent of the surgery is related to survival. Reaching an accurate diagnosis and prognosis assessment by the time of the initial surgery is therefore paramount in the management of glioblastoma.

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  • Intratumoral bacteria, specifically Colibactin-producing (CoPEC) strains, are linked to tumor heterogeneity and cancer recurrence by creating a low-immunity environment in right-sided colorectal tumors.
  • These bacteria foster lipid accumulation in cancer cells, which helps them survive and resist chemotherapy, correlating with worse survival rates in advanced-stage colorectal cancer patients.
  • Targeting the metabolic changes induced by CoPEC with specific inhibitors has shown potential in restoring chemotherapy sensitivity, suggesting a new approach to improve treatment outcomes for patients colonized by these bacteria.
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Early-life exposure to high-fat diets (HF) can program metabolic and cognitive alterations in adult offspring. Although the hippocampus plays a crucial role in memory and metabolic homeostasis, few studies have reported the impact of maternal HF on this structure. We assessed the effects of maternal HF during lactation on physiological, metabolic, and cognitive parameters in young adult offspring mice.

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The OpenProt proteogenomic resource (https://www.openprot.org/) provides users with a complete and freely accessible set of non-canonical or alternative open reading frames (AltORFs) within the transcriptome of various species, as well as functional annotations of the corresponding protein sequences not found in standard databases.

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Ovarian cancer is the leading cause of death from gynecologic cancer worldwide. High-grade serous carcinoma (HGSC) is the most common and deadliest subtype of ovarian cancer. While the origin of ovarian tumors is still debated, it has been suggested that HGSC originates from cells in the fallopian tube epithelium (FTE), specifically the epithelial cells in the region of the tubal-peritoneal junction.

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  • This study compares water-assisted laser desorption ionization (WALDI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging, with MALDI as the benchmark for analyzing lipids in biological samples.
  • The results show that both techniques produce similar lipidomic profiles, particularly highlighting a 100% similarity in detected peaks for norharmane in negative ion mode between the two methods across multiple samples.
  • While MALDI generally has a slightly higher percentage of detected peaks compared to WALDI, both approaches demonstrate a high degree of consistency, allowing researchers to combine data from both techniques for better analysis in biomedical research.
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  • Elevated alkaline phosphatase (ALP) levels in tumors indicate cancer progression, making ALP inhibition a potential cancer treatment strategy.
  • Researchers developed a new prodrug, phospho-apigenin, designed to be responsive to ALP and improve the solubility of the anticancer agent apigenin.
  • Phospho-apigenin demonstrated increased stability and a stronger anti-cancer effect, reducing the growth of PC-3 xenograft tumors by 52.8% compared to the parent compound.
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Liquid chromatography-mass spectrometry (LC-MS) is a powerful method for cell profiling. The use of LC-MS technology is a tool of choice for cancer research since it provides molecular fingerprints of analyzed tissues. However, the ubiquitous presence of noise, the peaks shift between acquisitions, and the huge amount of information owing to the high dimensionality of the data make rapid and accurate cancer diagnosis a challenging task.

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The dogma "One gene, one protein" is clearly obsolete since cells use alternative splicing and generate multiple transcripts which are translated into protein isoforms, but also use alternative translation initiation sites (TISs) and termination sites on a given transcript. Alternative open reading frames for individual transcripts give proteins originate from the 5'- and 3'-UTR mRNA regions, frameshifts of mRNA ORFs or from non-coding RNAs. Longtime considered as non-coding, recent in-silico translation prediction methods enriched the protein databases allowing the identification of new target structures that have not been identified previously.

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  • Water-assisted laser desorption/ionization mass spectrometry (WALDI-MS), also known as SpiderMass, is a new method for analyzing biological samples in real-time using an infrared laser to excite water molecules.
  • The technique utilizes water as a natural matrix to help release and ionize various biomolecules, including metabolites and lipids, from tissue samples.
  • Recently, WALDI-MS has been developed into an imaging tool capable of producing both 2D and 3D images for ex vivo and in vivo studies, with specific guidelines for optimizing the imaging process.
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Since the start of mass-spectrometry-based proteomics, proteins from non-referenced open reading frames or alternative proteins (AltProts) have been overlooked. Here, we present a protocol to identify human subcellular AltProt and decipher some interactions using cross-linking mass spectrometry. We describe steps for cell culture, in cellulo cross-link, subcellular extraction, and sequential digestion.

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  • Scientists studied newborn rat brain cells called astrocytes and found that they make special proteins called immunoglobulins, which are usually made by immune cells.
  • These brain versions of immunoglobulins are different from the ones made in immune cells and look more like those found in some cancers.
  • They also learned that certain genes in astrocytes influence how these proteins help in brain development and healing, which could help scientists understand more about how brain cells work.
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