Publications by authors named "E Becht"

Improving the selectivity and effectiveness of drugs represents a crucial issue for future therapeutic developments in immuno-oncology. Traditional bulk transcriptomics faces limitations in this context for the early phase of target discovery as resulting gene expression levels represent the average measure from multiple cell populations. Alternatively, single cell RNA sequencing can dive into unique cell populations transcriptome, facilitating the identification of specific targets.

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Article Synopsis
  • Primary Sjögren disease (pSD) is an autoimmune disease that causes dryness in the body and is not yet treatable effectively.
  • Researchers studied blood samples from pSD patients to find groups of genes (called Consensus gene Modules) that reveal important information about the disease.
  • They discovered that different gene groups could predict how well patients respond to certain treatments, which could help doctors find better ways to help people with pSD in the future.
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Communications between immune cells are essential to ensure appropriate coordination of their activities. Here, we observed the infiltration of activated macrophages into the joint-footpads of chikungunya virus (CHIKV)-infected animals. Large numbers of CD64MHCII and CD64MHCII macrophages were present in the joint-footpad, preceded by the recruitment of their CD11bLy6C inflammatory monocyte precursors.

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Background: The Mixed Lymphocyte Reaction (MLR) consists in the allogeneic co-culture of monocytes derived dendritic cells (MoDCs) with T cells from another donor. This assay is largely used for the assessment of immunotherapy compounds. Nevertheless, the phenotypic changes associated with lymphocyte responsiveness under MLR have never been thoroughly evaluated.

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Memory CD8 T cells can be broadly divided into circulating (T) and tissue-resident memory T (T) populations. Despite well-defined migratory and transcriptional differences, the phenotypic and functional delineation of T and T cells, particularly across tissues, remains elusive. Here, we utilized an antibody screening platform and machine learning prediction pipeline (InfinityFlow) to profile >200 proteins in T and T cells in solid organs and barrier locations.

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