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Biology subjects

Belato, P. B.

Publications and source records attributed to Belato, P. B..

2 recordsLinked to original sources

Loofah, a newly characterized adhesion protein, suppresses cell death in long-lived Drosophila hindgut enterocytes

Tissue maintenance in the presence of cell death-promoting insults requires a host of molecular mechanisms. Many studies focus on cell renewal through regeneration, while fewer studies explore mechanisms that promote cell longevity despite cell death stimuli. Here, we reveal that the adult Drosophila hindgut ileum is an excellent model to study tissue maintenance by long-lived cells. Hindgut ileal enterocytes resist the damaging detergent SDS and upstream caspase signaling by head-involution-defective (hid). This hid-induced death insensitivity arises early in adulthood and associates with numerous transcriptional changes. We interrogated 82 of these transcriptional changes in a candidate screen for enhancers of hid-induced death in the ileum. Top among our screen hits is an immunoglobulin family cell adhesion gene, CG15312. CG15312 maintains the adhesion protein FasIII on cell membranes. In hid-expressing ileal cells, CG15312 loss causes cell death and pyknotic nuclear clustering. We name this conserved gene low on-membrane fas and enhancer of hid (loofah). Our findings reveal a new mechanism linking cell adhesion and cell death resistance in a long-lived cell type. Our work establishes a new model to study tissue preservation.

cell biology↗

Spatial ploidy inference using quantitative imaging

Polyploidy (whole-genome multiplication) is a common yet under-surveyed property of tissues across multicellular organisms. Polyploidy plays a critical role during tissue development, following acute stress, and during disease progression. Common methods to reveal polyploidy involve either destroying tissue architecture by cell isolation or by tedious identification of individual nuclei in intact tissue. Therefore, there is a critical need for rapid and high-throughput ploidy quantification using images of nuclei in intact tissues. Here, we present iSPy (Inferring Spatial Ploidy), a new unsupervised learning pipeline that is designed to create a spatial map of nuclear ploidy across a tissue of interest. We demonstrate the use of iSPy in Arabidopsis, Drosophila, and human tissue. iSPy can be adapted for a variety of tissue preparations, including whole mount and sectioned. This high-throughput pipeline will facilitate rapid and sensitive identification of nuclear ploidy in diverse biological contexts and organisms.

developmental biology↗