Project description:Transcriptome profiling reveals different expression pattern in baseline group(after isolated hair follicles---HFs,collect samples immediately), 0G group(sham irradiation, collect organ-cultured HFs for 3 days),and 5G group(5G dose irradiation, collect organ-cultured HFs for 3 days) in ex vivo organ-cultured HFs. Hair greying or canities is one of the earliest phenomena in aging. A worldwide survey based on a large sample of human subjects showed that men grey faster than women, but in distinct scalp regions, and the populations of Asian and African descent had less grey hair than those of the same age of Caucasian descent. The average grey hair age of whites is 34 ± 9.6 years in Caucasians, while 43.9 ± 10.3 years in African. And then clinical observation demonstrates that by the age of 50 in 50% of all men in senile canities, 50% of all hair follicles (HFs) have lost their pigment. In addition, an increasing number of studies found that hair greying acts as an important predictor of aging-associated pathology, including Alzheimer’s disease, Parkinson’s disease and cardiovascular disease, etc. Grey hair is both visible and non-lethal, and it makes this phenotype a unique model system for investigating mechanisms that contribute to tissue aging and therapeutic strategies to combat this process. In humans and mice, age-related grey hair is attributed to the loss of melanocyte stem cells (MeSCs), precursor cells, and melanocytes, or their reduced or restricted functions, which is induced by a multitude of exogenous and endogenous challenges, such as radiation, inflammation, psycho-emotional stress, or gene mutation (BCL-2 deficiency), etc. Of which, ionizing radiation (IR) produces multiple clusters of double-strand breaks that mediate cell cycle arrest, apoptosis, and DNA repair, and successfully induces grey hair in mice. The accelerating process of aging by IR may provide an avenue to create a grey hair model. Although there is a mouse model of grey hair, the existence of species differences also limits the translational potential of the mice HF models for human applications. Recently, Rachmin et al demonstrated that IR could result to ectopically pigmented melanocytes (EPM) in outer root sheath (ORS) followed hair greying and speculated that this may provide a tool to prevent or reverse hair greying in humans. They proved that different genotoxicity can induce premature differentiation of MeSCs and/or amelanotic cells. However, they didn’t determine the appropriate dose of irradiation for creating the hair grey model and not discuss the mechanisms of forming the model. Hence, this study focuses on establishing a suitable ex vivo human grey HF model by IR, demonstrating the series change of grey hair and exploring the possible mechanisms of the model. In our study, parameters about senescence and melanotic features in our model are almost in line with essential traits of human grey hair in previous studies. In addition,to explore the profound mechanism of the irradiated model, we performed transcriptome analysis for baseline, 0G and 5G groups. Then, three pairwise comparisons were established---0G vs 5G, baseline vs 5G and baseline vs 0G. This profiling results be used to understand the different molecular mechanism of creating ex vivo grey HFs model,and those provided a possibility for anti-aging treatment.In summary, our results indicate that the ex vivo grey HFs by irradiation can perfectly replace elderly grey hair and establish a potential preclinical aging model for pharmacological and mechanism studies.

Project description:Inner Mongolia Cashmere Goat is a local excellent breed of cashmere and meat dual-purpose, which is a typical heterogeneous indumentum. The hair follicles cycle through periods of vigorous growth (anagen), a regression caused by apoptosis (catagen), and relative rest (telogen). At present, it is not clear which genes affect the cycle transformation of hair follicles and unclear how proteins impact the creation and expansion of hair follicles. In this work, we investigated the possible pathways of transformation and apoptosis in goat hair follicles using multi-omics joint analysis methodologies. The results showed that 917 , 1187 and 716 proteins were specifically expressed in anagen, catagen and telogen. The result of gene ontology (GO) annotation showed that differentially expressed proteins（DEPs) are in different growth cycle periods, and enriched GO items are mostly related to the transformation of cells and proteins. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment result indicated that the apoptosis process has a great impact on hair follicle's growth cycle. The results of the protein interaction network of differential proteins showed that the Ribosomal Protein family ( RPL4, RPL8, RPS16, RPS18, RPS2, RPS27A, RPS3 ) was the core protein in the network. The results of combined transcriptome and proteomics analysis showed that there were 16,34, and 26 overlapped DEGs and DEPs in the comparison of anagen VS catagen, catagen VS telogen and anagen VS telogen, of which API5 plays an important role in regulating protein and gene expression levels. We focused on API5 and Ribosomal protein and found that API5 affected the apoptosis process of hair follicles, and Ribosomal Protein was highly expressed in the resting stage of hair follicles. They are both useful as molecular marker candidate genes to study hair follicle growth and apoptosis, and they both have an essential function in the cycle transition process of hair follicles. The results of this study may provide a theoretical basis for further research on the growth and development of hair follicles in Inner Mongolian Cashmere goats.

Project description:This a model from the article: The follicular automaton model: effect of stochasticity and of synchronization of hair cycles. Halloy J, Bernard BA, Loussouarn G, Goldbeter A. J Theor Biol 2002 Feb 7;214(3):469-79 11846603 , Abstract: Human scalp hair consists of a set of about 10(5)follicles which progress independently through developmental cycles. Each hair follicle successively goes through the anagen (A), catagen (C), telogen (T) and latency (L) phases that correspond, respectively, to growth, arrest and hair shedding before a new anagen phase is initiated. Long-term experimental observations in a group of ten male, alopecic and non-alopecic volunteers allowed determination of the characteristics of hair follicle cycles. On the basis of these observations, we previously proposed a follicular automaton model to simulate the dynamics of human hair cycles and the development of different patterns of alopecia [Halloy et al. (2000) Proc. Natl Acad. Sci. U.S.A.97, 8328-8333]. The automaton model is defined by a set of rules that govern the stochastic transitions of each follicle between the successive states A, T, L and the subsequent return to A. These transitions occur independently for each follicle, after time intervals given stochastically by a distribution characterized by a mean and a standard deviation. The follicular automaton model was shown to account both for the dynamical transitions observed in a single follicle, and for the behaviour of an ensemble of independently cycling follicles. Here, we extend these results and investigate additional properties of the model. We present a deterministic version of the follicular automaton. We show that numerical simulations of the stochastic version of the automaton yield steady-state level of follicles in the different phases which approach the levels predicted by the deterministic equations as the number of follicles progressively increases. Only the stochastic version can successfully reproduce the fluctuations of the fractions of follicles in each of the three phases, observed in small follicle populations. When the standard deviation is reduced or when the follicles become otherwise synchronized, e.g. by a periodic external signal inducing the transition of anagen follicles into telogen phase, large-amplitude oscillations occur in the fractions of follicles in the three phases. These oscillations are not observed in humans but are reminiscent of the phenomenon of moulting observed in a number of mammalian species. Copyright 2002 Elsevier Science Ltd. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Halloy J, Bernard BA, Loussouarn G, Goldbeter A. (2002) - version=1.0 The original CellML model was created by: Catherine Lloyd c.lloyd@auckland.ac.nz The University of Auckland This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

			Action	DRS
	SRR7419921_1.fastq.gz	Fastqsanger.gz
	SRR7419921_2.fastq.gz	Fastqsanger.gz

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