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      Nematode Models of Development and Disease 

      Innate immunity in C. elegans

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      , ,
      Elsevier

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          The danger model: a renewed sense of self.

          For over 50 years immunologists have based their thoughts, experiments, and clinical treatments on the idea that the immune system functions by making a distinction between self and nonself. Although this paradigm has often served us well, years of detailed examination have revealed a number of inherent problems. This Viewpoint outlines a model of immunity based on the idea that the immune system is more concerned with entities that do damage than with those that are foreign.
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            PAMP s and DAMP s: signal 0s that spur autophagy and immunity

            Summary Pathogen‐associated molecular pattern molecules (PAMPs) are derived from microorganisms and recognized by pattern recognition receptor (PRR)‐bearing cells of the innate immune system as well as many epithelial cells. In contrast, damage‐associated molecular pattern molecules (DAMPs) are cell‐derived and initiate and perpetuate immunity in response to trauma, ischemia, and tissue damage, either in the absence or presence of pathogenic infection. Most PAMPs and DAMPs serve as so‐called ‘Signal 0s’ that bind specific receptors [Toll‐like receptors, NOD‐like receptors, RIG‐I‐like receptors, AIM2‐like receptors, and the receptor for advanced glycation end products (RAGE)] to promote autophagy. Autophagy, a conserved lysosomal degradation pathway, is a cell survival mechanism invoked in response to environmental and cellular stress. Autophagy is inferred to have been present in the last common eukaryotic ancestor and only to have been lost by some obligatory intracellular parasites. As such, autophagy represents a unifying biology, subserving survival and the earliest host defense strategies, predating apoptosis, within eukaryotes. Here, we review recent advances in our understanding of autophagic molecular mechanisms and functions in emergent immunity.
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              Comprehensive single-cell transcriptional profiling of a multicellular organism

              To resolve cellular heterogeneity, we developed a combinatorial indexing strategy to profile the transcriptomes of single cells or nuclei, termed sci-RNA-seq (single-cell combinatorial indexing RNA sequencing). We applied sci-RNA-seq to profile nearly 50,000 cells from the nematode Caenorhabditis elegans at the L2 larval stage, which provided >50-fold "shotgun" cellular coverage of its somatic cell composition. From these data, we defined consensus expression profiles for 27 cell types and recovered rare neuronal cell types corresponding to as few as one or two cells in the L2 worm. We integrated these profiles with whole-animal chromatin immunoprecipitation sequencing data to deconvolve the cell type-specific effects of transcription factors. The data generated by sci-RNA-seq constitute a powerful resource for nematode biology and foreshadow similar atlases for other organisms.
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                Author and book information

                Book Chapter
                2021
                : 309-351
                10.1016/bs.ctdb.2020.12.007
                33992157
                b1415b08-add3-48ad-86f5-e07c6dfcb2c5
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