Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This study constructed a single-cell atlas of hair follicle cells from yaks and taurine cattle, revealing that differences in WNT signaling within dermal papilla cells may be key to the yak's adaptation to cold environments on the Qinghai-Tibet Plateau.

This study identified increased expression of ACAA1 and its regulation by hsa-miR-1343-3p, linking androgenetic alopecia to lipid metabolism pathways, particularly through PPAR signaling, in scalp tissues.

This study used multi-omics analysis to explore how wheat roots adapt to temperature stress, revealing that distinct hormonal signaling pathways are linked to iron homeostasis and drive root morphological changes, supporting the idea of an 'iron-dependent hormonal trade-off' model.

The research aims to better understand hair follicle regulation and find new treatments for hair loss.

This study explores how chromatin differences between dermal papilla cells and papillary fibroblasts contribute to hair follicle inductivity and investigates the regulatory changes in androgenic alopecia.

Disrupted cell interactions in hair follicles contribute to hair loss in androgenetic alopecia.

Scarring alopecia involves increased immune cells and specific gene changes near damaged hair follicles.

In this study, researchers identified a causal link between Epstein-Barr virus infection and clear cell renal cell carcinoma, highlighting GBP1 as a key target and suggesting finasteride as a potential inhibitor, offering a new direction for treatment strategies.

This study developed a comprehensive atlas of human scalp tissue to uncover cell states and lineages in hair follicles, identifying disease-specific cellular changes associated with non-scarring and scarring hair loss, which may offer new diagnostic and therapeutic insights.

This study found that lipids are highly correlated with hair curvature while proteins are not, reporting the largest number of hair lipids and identifying novel proteins and chaperones relating to different hair types for the first time.

This review summarizes the latest progress and challenges in skin organoid research, emphasizing advancements in organoid construction, applications in disease modeling, and factors affecting tissue maturation, while noting barriers such as vascularization and neural integration that hinder clinical translation.

In this study, a deep neural network model called regX was developed to prioritize driver regulators for cell state transitions by incorporating gene-level regulation and interactions, showing potential therapeutic targets in type 2 diabetes and hair follicle development when applied to single-cell multi-omics data.

This study identified elevated CD25 on secreting CD4 regulatory T cells as a genetic risk factor for androgenetic alopecia, with certain plasma proteins acting as mediators in this causal relationship.

This study found that the transcription factor Lef1 is crucial for normal skin and hair development and wound healing, highlighting its role in regulating essential genes and pathways in papillary fibroblasts.

This study found that black phosphorus nanosheets positively influence skin repair by enhancing angiogenesis, anti-inflammatory response, collagen deposition, and re-epithelialization in a rat model of skin wounds, potentially through activating the JAK-STAT-OAS signaling pathway.

This study explored the epigenetic mechanisms of dermal fibroblast progenitor differentiation and found that the repressive chromatin profile from H3K27me3 prevents these progenitors from reforming skin in allograft assays, despite their multipotent potential.

This study reviews the potential of antioxidant plant compounds in improving wound healing for diabetic patients by reducing oxidative stress, controlling bacterial infections, and modulating inflammation, thereby promoting tissue regeneration and addressing key challenges in diabetic wound care.

This review summarizes the application of genome wide association studies and selection signature analyses in sheep and goat breeding in China, highlighting genomic regions that influence traits like reproductive performance and body size.

This review highlights the potential of drug repurposing to offer faster and more cost-effective solutions compared to traditional drug development methods by leveraging existing medications for new uses; however, regulatory and intellectual property challenges remain significant barriers.

This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.

This study demonstrated that RNA-seq can effectively expand hair follicle transcriptomic profiling in a multi-center study, offering deeper insights than blood transcriptomics alone.

This study constructed a panel of pharmacokinetic and pharmacodynamic genes, revealing that current SNP chips insufficiently capture many drug-response gene variants, highlighting the need for complementary genetic approaches.

This review explains methods for studying chromatin variation at the single-cell level using scATAC-seq and discusses integrating these measures with other omics platforms but reports no new results.

Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.

This research describes using advanced mass spectrometry imaging techniques to analyze gunshot residue and map molecular components in biological samples, such as tumors and mosquito ovarian follicles, at unprecedented spatial resolution and specificity.

In this study, the authors explore and compare advanced high-performance methods for transcriptome analysis, emphasizing the significant role of next-generation sequencing in understanding gene expression and revealing new RNA species.