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Mohamed Benhammadi

Researcher at Université de Montréal

Publications -  7
Citations -  352

Mohamed Benhammadi is an academic researcher from Université de Montréal. The author has contributed to research in topics: MHC class I & Chemokine. The author has an hindex of 3, co-authored 6 publications receiving 223 citations.

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Noncoding regions are the main source of targetable tumor-specific antigens

TL;DR: The authors validated the immunogenicity and efficacy of TSA vaccination for select antigens in mouse models of cancer and demonstrated that the strength of antitumor responses after TSA vaccination was influenced by two parameters that can be estimated in humans and could serve for TSA prioritization in clinical studies.
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Immunoproteasomes Control the Homeostasis of Medullary Thymic Epithelial Cells by Alleviating Proteotoxic Stress

TL;DR: It is reported that, because of pGE, mature mTECs synthesize substantially more proteins than other cell types and are exquisitely sensitive to loss of immunoproteasomes (IPs), and IP deficiency causes proteotoxic stress in mTecs and leads to exhaustion of postnatal mT EC progenitors.
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IFN-λ Enhances Constitutive Expression of MHC Class I Molecules on Thymic Epithelial Cells.

TL;DR: It is reported that thymic epithelial cells (TECs), particularly the medullary TECs, constitutively express up to 100-fold more cell surface MHC I proteins than epithelial Cells from the skin, colon, and lung.
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Regulation of MHC Class I Expression in Lung Epithelial Cells during Inflammation

TL;DR: It is reported that inhalation of the TLR4 ligand LPS upregulates cell surface MHC I by ∼25-fold on the three subtypes of mouse lung ECs, dependent on Nlrc5, Stat1, and Stat2 and caused by a concerted production of the three IFN families.
Posted ContentDOI

Codon arrangement modulates MHC-I peptides presentation

TL;DR: The role of codon arrangement in the regulation of MAP presentation is demonstrated and integration of both translational and post-translational events in predictive algorithms to ameliorate modeling of the immunopeptidome is supported.