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Badyaev, A.

Publications and source records attributed to Badyaev, A..

2 recordsLinked to original sources

Transient epithelial mimicry reconciles stemness and regional specification in neural crest cells of avian beaks

Multicellular morphogenesis must balance organismal cohesion with local tissue differentiation. Migratory stem cells commonly fulfill these dual needs by orchestrating region-specific tissue differentiation, yet how they balance the maintenance of stemness with positional sensitivity is unclear. Here, we show that in the developing avian beak, early arriving neural crest-derived mesenchymal (NCM) cells transiently match protein profiles of the overlying epithelium, which diverges as development proceeds. This "local mimicry" phase propagates region-specific epithelial signaling into the mesenchyme, producing distinct boundaries that anchor mesenchymal cell condensations. As NCM cells accumulate, cells within condensations undergo morphological and molecular homogenization, erasing regional differences in protein expression and restoring cellular multipotency. These cycles of transient specialization and homogenization - driven by universal processes of cell proliferation and migration - enable NCM cells to reconcile location-specific anchoring signals with stemness needed for ongoing regional specification of growing beak. By balancing global coordination with local divergence, this developmental organization can facilitate the remarkable evolutionary diversification of avian beaks.

developmental biology↗

FInCH: FIJI plugin for automated and scalable whole-image analysis of protein expression and cell morphology

Study of morphogenesis and its regulation requires analytical tools that enable simultaneous assessment of processes operating at cellular level, such as synthesis of transcription factors (TF), with their effects at the tissue scale. Most current studies conduct histological, cellular and immunochemical (IHC) analyses in separate steps, introducing inevitable biases in finding and alignment of areas of interest at vastly distinct scales of organization, as well as image distortion associated with image repositioning or file modifications. These problems are particularly severe for longitudinal analyses of growing structures that change size and shape. Here we introduce a python-based application for automated and complete whole-slide measurement of expression of multiple TFs and associated cellular morphology. The plugin collects data at customizable scale from the cell-level to the entire structure, records each data point with positional information, accounts for ontogenetic transformation of structures and variation in slide positioning with scalable grid, and includes a customizable file manager that outputs collected data in association with full details of image classification (e.g., ontogenetic stage, population, IHC assay). We demonstrate the utility and accuracy of this application by automated measurement of morphology and associated expression of eight TFs for more than six million cells recorded with full positional information in beak tissues across 12 developmental stages and 25 study populations of a wild passerine bird. Our script is freely available as an open-source Fiji plugin and can be applied to IHC slides from any imaging platforms and transcriptional factors. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/590413v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@162f9borg.highwire.dtl.DTLVardef@8f9544org.highwire.dtl.DTLVardef@90c99aorg.highwire.dtl.DTLVardef@1a3aa0f_HPS_FORMAT_FIGEXP M_FIG C_FIG Specifications table O_TBL View this table: org.highwire.dtl.DTLVardef@1f1e48eorg.highwire.dtl.DTLVardef@1d432eaorg.highwire.dtl.DTLVardef@5aa5b0org.highwire.dtl.DTLVardef@133ebf3org.highwire.dtl.DTLVardef@1c7a130_HPS_FORMAT_FIGEXP M_TBL C_TBL

developmental biology↗