Dataset Information

Systematic Identification of Genes Involved in Feather Regeneration in Wanxi-White Goose

ABSTRACT: Regeneration is one of the key factors affecting downy feather production. However, the signals and molecular controlling the progression of feather regeneration was poorly understood. We used a high density microarray to profile the temporal transcriptome dynamics during the regeneration periods. A total of 3540 genes expressed differentially with significant fold changes during feather regeneration. Cluster analysis revealed event specific dynamic expression of genes related to cell cycling, cell migration, cell proliferation, follicle re-growth and fiber elongation. These clusters involved functional clusters like regulation of actin cytoskeleton, focal adhesion and sphingolipid metabolism, and enriched signaling pathways like Wnt signaling pathway, MAPK pathway and TGFβ signaling pathway. In cell cycling, mainly involved genes were cyclin B3, cyclin Y. In TGFβ signaling pathway, mainly involved genes were TGFβ3, BMP7, NOG and BMP2. While Wnt5a, Wnt10a, FZD2, and FZD10 were involved in canonical Wnt/β-catenin pathway. Our study provides a comprehensive genetic blue print of diverse cellular responses during regeneraton of goose feather. The data provide an initial step towards a better understanding of molecular mechanisms underlying feather regeneration process and also suggest that signals or molecular participated in feather regeneration was quite different from the generation of hair in mammals.

ORGANISM(S): Gallus gallus Anser sp.

PROVIDER: GSE65852 | GEO | 2018/02/01

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: In humans, cleft palate (CP) accounts for one of the largest number of birth defects with a complex genetic and environmental etiology. TGFβ3 has been established as an important regulator of palatal fusion in mice and it has been shown that TGFβ3-null mice exhibit CP without any other major deformities. However, the genes that regulate cellular decisions and molecular mechanisms maintained by the TGFβ3 pathway throughout palatogenesis are predominantly unexplored. Our objective in this study was to analyze global transcriptome changes within the palate during different gestational ages within TGFβ3 knockout mice to identify TGFβ3-associated genes previously unknown to be associated with the development of cleft palate. We used deep sequencing technology, RNA-Seq, to analyze the transcriptome of TGFβ3 knockout mice at crucial stages of palatogenesis, including palatal growth (E14.5), adhesion (E15.5), and fusion (E16.5). Results: The overall transcriptome analysis of TGFβ3 wildtype mice (C57BL/6) reveals that almost 6000 genes were upregulated during the transition from E14.5 to E15.5 and more than 2000 were downregulated from E15.5 to E16.5. Using bioinformatics tools and databases, we identified the most comprehensive list of CP genes (n = 322) in which mutations cause CP either in humans or mice, and analyzed their expression patterns. The expression motifs of CP genes between TGFβ3+/− and TGFβ3−/− were not significantly different from each other, and the expression of the majority of CP genes remained unchanged from E14.5 to E16.5. Using these patterns, we identified 8 unique genes within TGFβ3−/− mice (Chrng Foxc2, H19, Kcnj13, Lhx8, Meox2, Shh, and Six3), which may function as the primary contributors to the development of cleft palate in TGFβ3−/− mice. When the significantly altered CP genes were overlaid with TGFβ signaling, all of these genes followed the Smad-dependent pathway. Conclusions: Our study represents the first analysis of the palatal transcriptome of the mouse, as well as TGFβ3 knockout mice, using deep sequencing methods. In this study, we characterized the critical regulation of palatal transcripts that may play key regulatory roles through crucial stages of palatal development. We identified potential causative CP genes in a TGFβ3 knockout model, which may lead to a better understanding of the genetic mechanisms of palatogenesis and provide novel potential targets for gene therapy approaches to treat cleft palate.

Dataset Information

Systematic Identification of Genes Involved in Feather Regeneration in Wanxi-White Goose

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets