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Küchenhoff, L.

Publications and source records attributed to Küchenhoff, L..

2 recordsLinked to original sources

Shared and organ-specific gene expression programs of fibrotic diseases

Fibrotic scarring is a common response to tissue injury. Repeated or severe insults can cause fibrosis, leading to excessive extracellular matrix deposition and a substantial clinical risk of organ dysfunction. Despite its high prevalence, few therapeutic options exist, and fibrotic diseases collectively represent a major global health burden. Fibrotic diseases affect virtually all organs, yet they have been explored mainly in isolation for each organ. As a result, proposed shared fibrotic mechanisms are often based on indirect comparisons between independent datasets rather than on a unified, systematic, cross-organ meta-analysis. To overcome this gap, we conducted a large-scale meta-analysis of single-cell transcriptomic data from healthy and fibrotic human tissues to identify both shared and organ-specific transcriptomic profiles. We constructed a single-cell fibrosis atlas of over five million cells from 20 studies, covering more than 25 disease etiologies affecting the heart, liver, kidney, and lung. Through systematic comparison of these datasets, we identified organ-specific as well as cross-organ fibrosis-associated gene expression profiles in major cell types and defined disease fibroblast subpopulations with excessive extracellular matrix production. These analyses revealed a conserved fibrotic response shared across tissues. Our analysis spans global comparisons of fibrosis-associated changes in cellular composition and predictive disease signatures to detailed examinations of individual genes, transcription factors, and intercellular communication patterns observed in fibrotic diseases across organs. We provide our cross-organ integration as a user-friendly open resource for investigating fibrotic diseases across organs. This resource will enable an accelerated discovery of disease mechanisms and faster development of broadly effective antifibrotic strategies in the future. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/709232v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@37e26borg.highwire.dtl.DTLVardef@f1ef53org.highwire.dtl.DTLVardef@1974d4corg.highwire.dtl.DTLVardef@53f5ea_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

genomics↗

Population context drives cell-to-cell variability in interferon response in epithelial cells

Isogenic cells respond in a heterogeneous manner to interferon. Using a micropatterning approach combined with high-content imaging and spatial analyses, we characterized how the population context (position of a cell with respect to the neighboring cells) of human intestinal epithelial cells affects single cell response to interferons. We identified that cells at the edge of a cellular colony are significantly more responsive than cells embedded within this colony. We determined that this spatial heterogeneity in IFN response was the result of the polarized basolateral distribution of the IFN receptors making cells located in the center of a cellular colony not responsive to ectopic IFN stimulation. We could demonstrate that this population context driven cell-to-cell variability influences the outcome of viral infection as cells embedded in a cellular colony are not protected by interferons and therefore more susceptible to infection. Our data highlights that the behavior of individual isolated cells does not directly translate to their behavior in a population, placing the population context as a key driver of cell-to-cell heterogeneity in IFN response.

immunology↗