Publications by authors named "Julien Tessier"

Article Synopsis
  • - The discovery of biomarkers for drug development is constrained by limited tissue samples from core needle biopsies, which can hinder the analysis of tissue heterogeneity and cell interactions due to standard 'omics platforms consuming large amounts of tissue.
  • - Current spatial transcriptomics technologies have low throughput and limited transcriptome coverage, while the Digital Spatial Profiling (DSP) method allows for scalable analysis of the entire transcriptome and high-plex protein analysis from a single tissue slide.
  • - The DSP Scientific Consortium has established best practices to enhance the use of spatial biology tools in drug discovery, aiming to optimize tissue analysis across various research fields to better understand disease biology and discover potential therapeutic targets.
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Lung cancer is the second most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide. Tumour ecosystems feature diverse immune cell types. Myeloid cells, in particular, are prevalent and have a well-established role in promoting the disease.

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IVA337 is a pan-peroxisome proliferator-activated receptor (PPAR) agonist with moderate and well-balanced activity on the three PPAR isoforms (α, γ, δ). PPARs are regulators of lipid metabolism, inflammation, insulin resistance, and fibrogenesis. Different single or dual PPAR agonists have been investigated for their therapeutic potential in nonalcoholic steatohepatitis (NASH), a chronic liver condition in which steatosis coexists with necroinflammation, potentially leading to liver fibrosis and cirrhosis.

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