<scp>KRT5</scp> mutation regulate melanin metabolism through notch signalling pathway between keratinocytes and melanocytes

Jia, Weixue; Zhang, Yuanyuan; Wang, Xue; Luo, Lingling; Sun, Hao; Jiang, Yiqun; Wang, Jianbo; Mao, Quanzong; Guo, Yong; Kong, Lingyan; Mo, Ran; Li, Chengrang

doi:10.1111/exd.14761

Cited by 3 publications

(2 citation statements)

References 52 publications

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“… 79 In recent years, this pathway is demonstrated in a number of clinical observations and basic studies to exert an important effect on metabolism, vascular physiology, bile duct differentiation, and LR. 80 , 81 , 82 , 83 , 84 , 85 Moreover, great attention has been paid to LR. Notch pathway represents an earliest pathway that is activated within 15–30 min after PHx.…”

Section: Signaling Pathways In Lrmentioning

confidence: 99%

Signaling pathways of liver regeneration: Biological mechanisms and implications

Zhang,

Sun,

Zhao

et al. 2024

iScience

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Section: Signaling Pathways In Lrmentioning

confidence: 99%

Signaling pathways of liver regeneration: Biological mechanisms and implications

Zhang,

Sun,

Zhao

et al. 2024

iScience

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“…[ 12 ] KRT5 is a gene located on chromosome 12, and the protein encoded by this gene is a member of the keratin gene family. [ 13 ] Mutations or abnormalities in the KRT5 gene can lead to various skin disorders, as keratins are crucial for maintaining the structural integrity of epithelial tissues.…”

Section: Introductionmentioning

confidence: 99%

CAV1 and KRT5 are potential targets for prostate cancer

Guo,

Liu,

Yang

et al. 2023

Medicine

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Prostate cancer is the most common malignant tumor of male urogenital system that occurs in prostate epithelium. However, relationship between CAV1 and KRT5 and prostate cancer remains unclear. The prostate cancer datasets GSE114740 and GSE200879 were downloaded from Gene Expression Omnibus generated by GPL11154 and GPL32170. De-batch processing was performed, differentially expressed genes (DEGs) were screened, and weighted gene co-expression network analysis. The construction and analysis of protein–protein interaction network, functional enrichment analysis, gene set enrichment analysis. Gene expression heat map was drawn and immune infiltration analysis was performed. Comparative toxicogenomics database analysis were performed to find the disease most related to core gene. In addition, the cell experiment was performed to verify the role of CAV1 and KRT5 by western blot. Divided into 4 groups: control, prostate cancer, prostate cancer-over expression, and prostate cancer- knock out. TargetScan screened miRNAs that regulated central DEGs; 770 DEGs were identified. According to Gene Ontology analysis, they were mainly concentrated in actin binding and G protein coupled receptor binding. In Kyoto Encyclopedia of Gene and Genome analysis, they were mainly concentrated in PI3K-Akt signal pathway, MAPK signal pathway, and ErbB signal pathway. The intersection of enrichment terms of differentially expressed genes and GOKEGG enrichment terms was mainly concentrated in ErbB signaling pathway and MAPK signaling pathway. Three important modules were generated. The protein–protein interaction network obtained 8 core genes (CAV1, BDNF, TGFB3, FGFR1, PRKCA, DLG4, SNAI2, KRT5). Heat map of gene expression showed that core genes (CAV1, TGFB3, FGFR1, SNAI2, KRT5) are highly expressed in prostate cancer tissues and low in normal tissues. Comparative toxicogenomics database analysis showed that core genes (CAV1, TGFB3, FGFR1, SNAI2, KRT5) were associated with prostate tumor, cancer, tumor metastasis, necrosis, and inflammation. CAV1 and KRT5 are up-regulated in prostate cancer. CAV1 and KRT5 are highly expressed in prostate cancer. The higher expression of CAV1 and KRT5, the worse prognosis.

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StaVia: spatially and temporally aware cartography with higher-order random walks for cell atlases

Stassen,

Kobashi,

Lam

et al. 2024

Genome Biol

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Single-cell atlases pose daunting computational challenges pertaining to the integration of spatial and temporal information and the visualization of trajectories across large atlases. We introduce StaVia, a computational framework that synergizes multi-faceted single-cell data with higher-order random walks that leverage the memory of cells’ past states, fused with a cartographic Atlas View that offers intuitive graph visualization. This spatially aware cartography captures relationships between cell populations based on their spatial location as well as their gene expression and developmental stage. We demonstrate this using zebrafish gastrulation data, underscoring its potential to dissect complex biological landscapes in both spatial and temporal contexts.

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KRT5 mutation regulate melanin metabolism through notch signalling pathway between keratinocytes and melanocytes

Cited by 3 publications

References 52 publications

Signaling pathways of liver regeneration: Biological mechanisms and implications

Signaling pathways of liver regeneration: Biological mechanisms and implications

CAV1 and KRT5 are potential targets for prostate cancer

StaVia: spatially and temporally aware cartography with higher-order random walks for cell atlases

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