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This study found differential expression of genes related to hair fiber production in Pashmina and Barbari goats, potentially enhancing pashmina fiber quality and informing future enrichment analyses.

This study identified a four-gene loop as a non-invasive biomarker that selectively activates in alopecia areata, providing a precise target for JAK inhibitor treatments.

This study observed that in both mouse and human models of alopecia areata, T cells exhibit a stress response involving heat shock proteins and other regulatory markers, suggesting their potential as targets for therapeutic intervention in this autoimmune skin disease.

In this study, researchers investigated the genetic basis of the feathered foot trait in Guangxi native chickens and found that the gene TBX5 plays a critical role, suggesting it affects feather formation by regulating the proliferation and migration of dermal fibroblasts.

Melatonin affects when and how certain genes work during the growth of goat hair follicles.

Melatonin affects when and how certain genes work during the growth of goat hair follicles.

Melatonin affects when and how goat hair follicle genes turn on and off during growth cycles.

Melatonin affects when and how goat hair follicle genes turn on and off during growth cycles.

Melatonin affects when and how goat hair follicle genes turn on and off during growth cycles.

Melatonin affects when and how certain genes work during the different stages of hair growth in goats.

Melatonin affects when and how certain genes work during the different stages of goat hair growth.

Melatonin affects when and how certain genes work during the growth of goat hair follicles.

Melatonin affects when and how goat hair follicle genes turn on and off during growth cycles.

Melatonin affects when and how goat hair grows by changing gene activity at different stages.

In this study, researchers analyzed spaceflight data from various sources and found that skin issues during spaceflight are linked to DNA damage, mitochondrial dysregulation, and gene alterations, while also highlighting the skin's adaptability post-flight.

This study analyzed gene expression data to identify key genes involved in severe forms of alopecia areata, discovering four immune monitoring genes (LGR5, SHISA2, HOXC13, S100A3) with potential for early diagnosis and better understanding of the disease's biological mechanisms.

In this study, PDO, PLLA, and PCL thread implants in ageing rat skin did not alter MMP1 gene expression but maintained collagen levels similar to young skin without UV-B exposure, suggesting possible benefits for skin collagen but not gene expression modification.

This study generated a transcriptomic map of human hair follicle compartments, providing a database for identifying compartment-specific gene expression which may aid in developing targeted treatments for hair follicle disorders.

In this study, researchers found that synchronization between expanding epithelial cells and background mesenchymal cells in the mouse hair cycle may be maintained by inhibitory regulation, with potential mediators of this regulation identified.

This review discusses the hair follicle cycle's complex regulation and highlights the potential for targeting catagen control in future therapies without presenting new experimental data.

This review discusses current genomics and proteomics research on cutaneous autoimmune diseases, noting overlapping gene patterns but highlighting the scarcity of data on local gene expression in affected tissues.

This systematic scoping review synthesized evidence from 175 in vivo studies on the effects of plant-based substances on hair growth, using animal models such as mice and rabbits. The authors created a checklist to improve data comparison and reproducibility in future hair growth research.

This study identified four keratin genes associated with hair follicle development that were expressed more highly in super fine wool Xinji sheep compared to fine wool sheep.

This study demonstrates that combining gene expression data with a random forest algorithm provides highly accurate diagnosis of childhood growth hormone deficiency, showing potential utility in distinguishing it from non-GHD short stature.

This narrative review shares a personal account of meeting and collaborating with Irwin Freedberg while discussing the historical development of keratin research and its clinical implications, without presenting new data or results.

This study is designed to explore how circadian rhythms are affected by obesity and mental health conditions, such as schizophrenia and bipolar disorder, using biological and lifestyle data from independently living adults.

Keratins change and are modified differently in skin layers and body parts.

This study re-analyzed single cell RNAseq data and confirmed longstanding views on keratin gene regulation in keratinocytes, while challenging assumptions about their role in cellular differentiation states.

In this study, deep learning models accurately predicted gene expression in whole slide images of colorectal cancer, with convolutional neural networks outperforming transformer and graph-based approaches in spatial RNA pattern prediction.

This study found that BBS7 is crucial for maintaining Sonic hedgehog signaling activity and periodontal ligament homeostasis, with changes in gene expression observed in occlusal hypofunctional PDL.