FB2026_03 , released September 17, 2026
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Lin, G., Xu, N., Xi, R. (2010). Paracrine Unpaired Signaling through the JAK/STAT Pathway Controls Self-renewal and Lineage Differentiation of Drosophila Intestinal Stem Cells.  J. Mol. Cell. Biol. 2(1): 37--49.
FlyBase ID
FBrf0209721
Publication Type
Research paper
Abstract
Drosophila and mammalian intestinal stem cells (ISCs) share similarities in their regulatory mechanisms, with both requiring Wingless (Wg)/Wnt signaling for their self-renewal, although additional regulatory mechanisms are largely unknown. Here we report the identification of Unpaired as another paracrine signal from the muscular niche, which activates a canonical JAK/STAT signaling cascade in Drosophila ISCs to regulate ISC self-renewal and differentiation. We show that compromised JAK signaling causes ISC quiescence and loss, whereas signaling overactivation produces extra ISC-like and progenitor cells. Simultaneous disruption or activation of both JAK and Wg signaling in ISCs results in a stronger ISC loss or a greater expansion of ISC-like cells, respectively, than by altering either pathway alone, indicating that the two pathways function in parallel. Furthermore, we show that loss of JAK signaling causes blockage of enteroblast differentiation and reduced JAK signaling preferentially affects enteroendocrine (ee) cell differentiation. Conversely, JAK overactivation produces extra differentiated cells, especially ee cells. Together with the functional analysis with Notch (N), we suggest two separate roles of JAK/STAT signaling in Drosophila ISC lineages: it functions upstream of N, in parallel and cooperatively with Wg signaling to control ISC self-renewal; it also antagonizes with N activity to control the binary fate choice of intestinal progenitor cells.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Mol. Cell. Biol.
    Title
    Journal of molecular cell biology
    ISBN/ISSN
    1674-2788 1759-4685
    Data From Reference
    Genes (10)