Publications by authors named "Marion Le Rochais"

In the realm of inflammation, including conditions like cancers, infections, and autoimmune diseases, the emergence of tertiary lymphoid structures (TLS) holds significant implications for prognosis and treatment response. Yet, traditional methodologies such as immunohistochemistry and immunofluorescence falter in capturing the nuanced complexities of TLS, necessitating innovative approaches, like imaging mass cytometry (IMC), to unravel their significance. With the capacity to concurrently assess nearly 40 markers within the same tissue section, IMC transcends the constraints of traditional approaches.

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Imaging mass cytometry (IMC) is a metal mass spectrometry-based method allowing highly multiplex immunophenotyping of cells within tissue samples. However, some limitations of IMC are its 1-µm resolution and its time and costs of analysis limiting respectively the detailed histopathological analysis of IMC-produced images and its application to small selected tissue regions of interest (ROI) of one to few square millimeters. Coupling on a single-tissue section, IMC and histopathological analyses could permit a better selection of the ROI for IMC analysis as well as co-analysis of immunophenotyping and histopathological data until the single-cell level.

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Article Synopsis
  • Persistent inflammation can lead to the formation of tertiary lymphoid structures (TLS) that resemble secondary lymphoid organs (SLO) like lymph nodes, with variations in TLS composition linked to different diseases.
  • Researchers conducted an analysis of colorectal and gastric tissues from patients with various inflammatory diseases and cancers, utilizing imaging mass cytometry (IMC) to compare TLS and SLO based on 39 specific markers.
  • The study found that while TLS organization varies among patients, it follows a maturation spectrum categorized into three stages: lymphoid-aggregates, non-GC TLS, and GC-like TLS, revealing insights into the architectural and functional differences that can have implications for diagnostic and prognostic assessments in diseases.
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The recent emergence of imaging mass cytometry technology has led to the generation of an increasing amount of high-dimensional data and, with it, the need for suitable performant bioinformatics tools dedicated to specific multiparametric studies. The first and most important step in treating the acquired images is the ability to perform highly efficient cell segmentation for subsequent analyses. In this context, we developed YOUPI (Your Powerful and Intelligent tool) software.

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Imaging mass cytometry (IMC) enables the analysis of in-depth-phenotyped cells in their native microenvironment within the preserved architecture of a single tissue section. To date, it permits the simultaneous analysis of up to 50 different protein- markers targeted by metal-conjugated antibodies. The application of IMC in the field of cancer research may notably help 1) to define biomarkers of prognostic and theragnostic significance for current and future treatments against well-established and novel therapeutic targets and 2) to improve our understanding of cancer progression and its resistance mechanisms to immune system and how to overcome them.

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