mProX™ Human PRKD2 Stable Cell Line
- Product Category:
- Membrane Protein Stable Cell Lines
- Subcategory:
- Kinase Cell Lines
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Published Data
Fig.1 Proliferation of AML cells was facilitated by PRKD2.
The effect of PRKD2 overexpression on cell proliferation was first confirmed, and an increase in proliferation was observed in both KASUMI and U937 cell lines. The proliferation of AML cells was promoted by PRKD2 overexpression as demonstrated by the CCK8 assay.
Ref: Liu, Qian, et al. "PRKD2 promotes progression and chemoresistance of AML via regulating Notch1 pathway." OncoTargets and therapy (2019): 10931-10941.
Pubmed: 31849496
DOI: 10.2147/OTT.S233234
Research Highlights
Hahn, Elan. et al. "Comprehensive Molecular Characterization of Polymorphous Adenocarcinoma, Cribriform Subtype: Identifying Novel Fusions and Fusion Partners." Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023.
In the study conducted by the authors, it was found that Polymorphous Adenocarcinoma (PAC), a type of salivary gland cancer, is commonly associated with gene fusions in PRKD1, PRKD2, or PRKD3. This was mainly detected through fluorescence in situ hybridization (FISH) analysis, with a small portion being evaluated by next-generation sequencing (NGS). The authors aimed to further investigate these fusions through NGS, and identified 28 cases with gene fusions involving PRKD1, PRKD2, or PRKD3 in 51 successfully sequenced PACs. The most common gene partners were ARID1A and ARID1B, with a diverse group of 13 novel partners being identified. The findings suggest a need for a broader strategy of sequencing for molecular confirmation in challenging cases of PAC.
Hahn, Elan. et al. "Comprehensive Molecular Characterization of Polymorphous Adenocarcinoma, Cribriform Subtype: Identifying Novel Fusions and Fusion Partners." Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023.
Pubmed:
37595638
DOI:
10.1016/j.modpat.2023.100305
H Mullin, Benjamin. et al. "Leveraging osteoclast genetic regulatory data to identify genes with a role in osteoarthritis." Genetics, 2023.
In this study, a unique human osteoclast-like cell-specific expression quantitative trait locus (eQTL) resource was generated to investigate the genetics of bone disease. An integrative analysis was conducted, combining this dataset with recent osteoarthritis (OA) genome-wide association study (GWAS) results. Summary data-based Mendelian randomization (SMR) and colocalization analyses identified 38 genes potentially associated with OA, including some linked to Mendelian diseases featuring joint/skeletal abnormalities, such as BICRA, EIF6, CHST3, and FBN2. Several OA GWAS signals showed colocalization with multiple eQTL peaks, and pleiotropic effects on OA-risk and gene expression were observed at loci LINC01481, CPNE1, and EIF6, indicating the presence of an OA-risk gene cluster at 20q11.22.
H Mullin, Benjamin. et al. "Leveraging osteoclast genetic regulatory data to identify genes with a role in osteoarthritis." Genetics, 2023.
Pubmed:
37579195
DOI:
10.1093/genetics/iyad150