mProX™ Human NEK4 Stable Cell Line
- Product Category:
- Membrane Protein Stable Cell Lines
- Subcategory:
- Kinase Cell Lines
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Patrick Liam (Creative Biolabs Scientific Support)
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Patrick Liam (Creative Biolabs Scientific Support)
Published Data
Fig.1 The biological function of NEK4 in relation to EMT.
Displayed are visuals capturing the matrigel-coated transwell assay at distinct time intervals. A549 cells underwent transfection with a mixture of siNEK4 or siRNA control. These findings stem from a set of three distinct experiments.
Ref: Ding, Nian-Hua, et al. "NEK4 kinase regulates EMT to promote lung cancer metastasis." Journal of cellular and molecular medicine 22.12 (2018): 5877-5887.
Pubmed: 30247800
DOI: 10.1111/jcmm.13857
Research Highlights
Li, Xiaoyan. et al. "Mendelian Randomization Using the Druggable Genome Reveals Genetically Supported Drug Targets for Psychiatric Disorders." Schizophrenia bulletin, 2023.
Psychiatric disorders impose a significant burden on both the health and economic well-being of modern society. Despite these challenges, a completely effective treatment has yet to be found, due in part to the difficulties in identifying and validating drug targets. The authors of this study aim to address this issue by conducting a Mendelian randomization (MR) analysis to identify potential therapeutic targets relevant to psychiatric disorders. This approach holds promise for improving treatment outcomes and reducing the burden of psychiatric disorders on society.
Li, Xiaoyan. et al. "Mendelian Randomization Using the Druggable Genome Reveals Genetically Supported Drug Targets for Psychiatric Disorders." Schizophrenia bulletin, 2023.
Pubmed:
37418754
DOI:
10.1093/schbul/sbad100
J Meyers, Travis. et al. "Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine." HGG advances, 2023.
The authors conducted a genome-wide association study (GWAS) to identify genetic susceptibility loci for migraine, resulting in the identification of over 130 loci. However, the specific impact of these loci on migraine development remains unknown. In order to identify new genes associated with migraine, the authors performed a transcriptome-wide association study (TWAS) using FUSION software. They used meta-analyzed summary statistics from 26,052 migraine cases and 487,214 controls of European ancestry from two cohorts (the Kaiser Permanente GERA and the UK Biobank). They then evaluated these associations for colocalization with expression quantitative trait loci (eQTLs) and identified 53 genes that showed significant associations with migraine after adjusting for multiple testing. Further analysis revealed that 10 of these genes (CSPG5, TANC2, ATXN1, LRP1, AZI2, CEP68, GINS4, TSPYL6, CNTN3 and TRPM7) were differentially expressed in blood samples from patients with migraine.
J Meyers, Travis. et al. "Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine." HGG advances, 2023.
Pubmed:
37415806
DOI:
10.1016/j.xhgg.2023.100211
