Planar cell polarity-dependent and independent functions in the emergence of tissue-scale hair follicle patterns

Cetera, Maureen; Leybova, Liliya; Woo, Frank W.; Deans, Michael R.; Devenport, Danelle

doi:10.1016/j.ydbio.2017.06.003

Cited by 43 publications

(61 citation statements)

References 46 publications

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“…Instead of forming a network, in mammalian hair, arrector pili are attached to one single follicle. Although the orientation of individual hair follicles is determined by global and local sources of polarity, the orientation of the arrector pili closely adapts to that of the associated follicle (20,21).…”

Section: Connecting the Dots: How Intradermal Smooth Muscle Fibers Esmentioning

confidence: 99%

Self-assembly of biological networks via adaptive patterning revealed by avian intradermal muscle network formation

Yeh

Harn

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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Networked structures integrate numerous elements into one functional unit, while providing a balance between efficiency, robustness, and flexibility. Understanding how biological networks self-assemble will provide insights into how these features arise. Here, we demonstrate how nature forms exquisite muscle networks that can repair, regenerate, and adapt to external perturbations using the feather muscle network in chicken embryos as a paradigm. The selfassembled muscle networks arise through the implementation of a few simple rules. Muscle fibers extend outward from feather buds in every direction, but only those muscle fibers able to connect to neighboring buds are eventually stabilized. After forming such a nearest-neighbor configuration, the network can be reconfigured, adapting to perturbed bud arrangement or mechanical cues. Our computational model provides a bioinspired algorithm for network self-assembly, with intrinsic or extrinsic cues necessary and sufficient to guide the formation of these regenerative networks. These robust principles may serve as a useful guide for assembling adaptive networks in other contexts. feather | skin appendage | morphogenesis | regeneration | network assembly

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Section: Connecting the Dots: How Intradermal Smooth Muscle Fibers Esmentioning

confidence: 99%

Self-assembly of biological networks via adaptive patterning revealed by avian intradermal muscle network formation

Yeh

Harn

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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“…Swirls (whorls) and saddles (crosses) are among repeatedly observed patterns in mutants [10,24,[45][46][47]. In certain situations the polarization pattern contains topological defects like vortices, saddles, as well as domain walls separating two regions with different polarities.…”

Section: F4 Topological Defects and Domain Walls In Polarization Fieldmentioning

confidence: 87%

The Role of Cytoplasmic Interactions in the Collective Polarization of Tissues and its Interplay with Cellular Geometry

Shadkhoo

Mani²

2018

Preprint

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Planar cell polarity (PCP), the ability of a tissue to polarize coherently over multicellular length scales, provides the directional information that guides a multitude of developmental processes at cellular and tissue levels. While it is manifest that cells utilize both intracellular and intercellular mechanisms, how they couple together to produce the collective response remains an active area of investigation. Exploring a phenomenological reaction-diffusion model, we predict a crucial, and novel, role for cytoplasmic interactions in the largescale correlations of cell polarities. We demonstrate that finite-range (i.e. nonlocal) cytoplasmic interactions are necessary and sufficient for the robust and longrange polarization of tissues -even in the absence of global cues -and are essential to the faithful detection of weak directional signals. Strikingly, our model recapitulates an observed influence of anisotropic tissue geometries on the orientation of polarity. In order to facilitate a conversation between theory and experiments, we compare five distinct classes of in silico mutants with experimental observations. Within this context, we propose quantitative measures that can guide the search for the participant molecular components, and the identification of their roles in the collective polarization of tissues.

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“…Under natural conditions, animal hair displays a regular growth pattern and, following birth, the hair follicles are constantly changing [25,26]. The follicles undergo self-renewal and periodic growth, which can be divided into the three phases of anagen, catagen, and telogen [27][28][29].…”

Section: Discussionmentioning

confidence: 99%

Skin transcriptome reveals the periodic changes in genes underlying cashmere (ground hair) follicle transition in Cashmere goats

Yang

Liu

Zhao

et al. 2020

Preprint

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Background: Cashmere goats make an outstanding contribution to the livestock textile industry and their cashmere is famous for its slenderness and softness and has been extensively studied. However, there are few reports on the molecular regulatory mechanisms of the secondary hair follicle growth cycle in cashmere goats. In order to explore the regular transition through the follicle cycle and the role of key genes in this cycle, we used a transcriptome sequencing technique to sequence the skin of Inner Mongolian cashmere goats during different months. We analyzed the variation and difference in genes throughout the whole hair follicle cycle. We then verified the regulatory mechanism of the cashmere goat secondary hair follicle growth cycle using fluorescence quantitative PCR. Results: The growth cycle of cashmere hair could be divided into three distinct periods: a growth period (March–September), a regression period (September–December), and a resting period (December–March). The results of differential gene analyses showed that March was the most significant month. Cluster analysis of gene expression throughout the whole growth cycle further supported the key nodes of the three periods of cashmere growth, and the differential gene expression of keratin corresponding to the ground haircashmere growth cycle further supported the results from tissue slices. Quantitative fluorescence analysis showed that KAP3-1, KRTAP 8-1, and KRTAP 24-1 genes had close positive correlation with the cashmere growth cycle, and their regulation was consistent with the growth cycle of cashmere. Conclusion: The growth cycle of cashmere cashmere could be divided into three distinct periods: a growth period (March–September), a regression period (September–December) and a resting period (December–March). March was considered to be the beginning of the cycle. KAP and KRTAP showed close positive correlation with the growth cycle of secondary hair follicle cashmere growth, and their regulation was consistent with the cashmere growth cycle. But hair follicle development-related genes are expressed earlier than cashmere growth, indicating that cycle regulation could alter the temporal growth of cashmere. This study laid a theoretical foundation for the study of the cashmere development cycle and provided evidence for key genes during transition through the cashmere cycle. Our study provides a theoretical basis for cashmere goat breeding.

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Planar cell polarity-dependent and independent functions in the emergence of tissue-scale hair follicle patterns

Cited by 43 publications

References 46 publications

Self-assembly of biological networks via adaptive patterning revealed by avian intradermal muscle network formation

Self-assembly of biological networks via adaptive patterning revealed by avian intradermal muscle network formation

The Role of Cytoplasmic Interactions in the Collective Polarization of Tissues and its Interplay with Cellular Geometry

Skin transcriptome reveals the periodic changes in genes underlying cashmere (ground hair) follicle transition in Cashmere goats

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