KDM6A Knockout HEK293 Cell Line
Cat.No.:
EDJ-KQ1956
Species:
Human
Cell Name:
HEK293
Gene:
KDM6A
Gene ID:
7403
Size:
1×10⁶cells
KDM6A Knockout Cell Line (HEK293) is an exclusive upgraded CRISPR/Cas9 system-mediated gene knockout cell, with the advantages of Optimized Strategy Design, Efficient Cell Transfection, High-Performance Cas9 Protein and Hassle-Free Cell Selection.
| Cat.No. | EDJ-KQ1956 |
|---|---|
| Product Name | KDM6A Knockout Cell Line (HEK293) |
| Cell Line | HEK293 |
| Cellosaurus ID | CVCL_0045 |
| Cell Line Synonyms | Hek293, HEK-293, HEK/293, (HEK)293, HEK 293, HEK,293, 293, 293 HEK, 293 Ad5, Graham 293, Graham-293, Human Embryonic Kidney 293 |
| Gene |
KDM6A |
| NCBI Gene ID | |
| Gene Synonyms | KABUK2|UTX|bA386N14.2 |
| Summary |
This gene is located on the X chromosome and is the corresponding locus to a Y-linked gene which encodes a tetratricopeptide repeat (TPR) protein. The encoded protein of this gene contains a JmjC-domain and catalyzes the demethylation of tri/dimethylated histone H3. Multiple alternatively spliced transcript variants have been found for this gene. [provided by RefSeq, Apr 2014]
|
| Associated Diseases | Non-tumor |
| Morphology | Adherent |
| Passage Ratio | 1/5,2days |
| Complete Culture Medium | DMEM + 10% FBS |
| Freezing Medium | 95% Complete culture medium+ 5% DMSO |
| QC | Indels validated by Sanger sequencing; sterility confirmed via microbial testing. |
* For research use only. Not intended for use in humans or animals, including clinical, therapeutic, or diagnostic purposes.
| Loci | STR Info (Sample Cell) Sample Cell Line: HEK293 | STR Info (Cell bank) Cell Line: HEK293 | ||
| Allele1 | Allele2 | Allele1 | Allele2 | |
| Amelogenin | X | X | ||
| CSF1P0 | 12 | 11 | 12 | |
| D2S1338 | 19 | 19 | ||
| D3S1358 | 15 | 17 | 15 | 17 |
| D5S818 | 8 | 8 | 9 | |
| D7S820 | 11 | 12 | 11 | 12 |
| D8S1179 | 12 | 14 | 12 | 14 |
| D13S317 | 12 | 14 | 12 | 14 |
| D16S539 | 9 | 13 | 9 | 13 |
| D18S51 | 17 | 18 | 17 | 18 |
| D19S433 | 15 | 18 | 15 | 18 |
| D21S11 | 28 | 30.2 | 28 | 30.2 |
| FGA | 23 | 23 | ||
| Penta D | 9 | 10 | 9 | 10 |
| Penta E | 7 | 15 | 7 | 15 |
| TH01 | 7 | 9.3 | 7 | 9.3 |
| TPOX | 11 | 11 | ||
| vWA | 16 | 19 | 16 | 19 |
| D6S1043 | 11 | 11 | ||
| D12S391 | 19 | 21 | 11 | 15 |
| D2S441 | 11 | 15 | 11 | 15 |
* STR authentication data of this cell line matches with that of cell lines sourced from ATCC, DSMZ, JCRB, and RIKEN databases.
Conclusion: The STR identification of this cell is correct.
Conclusion: The STR identification of this cell is correct.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.
Related Publications
Multi-omics elucidation of KDM5C, KDM6A, and KMT2B roles in cancer epigenetic dysregulation and transcriptional reprogramming.
IF=5.1
Communications biology
Histone-modifying enzymes (HMEs) are critical regulators of tumorigenesis through epigenetic reprogramming. While mutations in HMEs are recognized drivers of cancer epigenome dysregulation, systematic comparative analyses of their mutational impacts and functional divergence across malignancies remain underexplored. Here, we investigated three HMEs frequently mutated in diverse cancers: KMT2B (H3K4me3 methyltransferase), KDM5C (H3K4me3 demethylase), and KDM6A (H3K27me3 demethylase). Using CRISPR/Cas9-engineered HEK293T knockout cell lines, we performed integrated multi-omics profiling that combined genome-wide chromatin accessibility, transcriptomics, and chromatin-bound proteomics. Contrary to expectations that KMT2B loss (H3K4me3 depletion) and KDM5C loss (H3K4me3 accumulation) would induce opposing transcriptional programs, or that KDM6A deficiency (H3K27me3 accumulation) would exhibit distinct regulatory effects, our analyses revealed distinct effect of all three HME modulations in terms of both transcriptional output and chromatin-associated proteomic state. Functionally, KDM5C loss upregulated FOXF2 and downregulated KLF5, implicating the dysregulation of G protein-coupled receptor pathways; KDM6A loss upregulated JUNB and downregulated TP73, affecting extracellular matrix regulation; and KMT2B loss upregulated JUN and downregulated HOXA10, impacting on cytokine signaling. Notably, transcription factors such as PATZ1 and GATA2 were commonly altered across knockouts. In PANC-1 pancreatic cancer cells, we further confirmed that KDM6A regulates CDH family genes controlling cell adhesion, thereby promoting migration and invasion. Finally, integrative analyzes demonstrated strong correlations between promoter accessibility, transcription factor occupancy, and gene expression, and uncovered cooperation between epigenetic and genetic drivers. Together, these findings reveal context-dependent functional hierarchies among HMEs and underscore the necessity of multi-layered analyses to resolve the complexity of epigenetic regulation in cancer.
This KO model may be useful for:
- Investigating the role of H3K27me3 demethylase activity in extracellular matrix regulation and cell adhesion via CDH family genes
- Studying the transcriptional control of JUNB and TP73 in cancer cell migration and invasion
- Analyzing the impact of H3K27me3 accumulation on chromatin accessibility and transcription factor occupancy (e.g., PATZ1, GATA2)
- Modeling epigenetic dysregulation linked to pancreatic cancer progression in PANC-1 cells
- Exploring cooperation between epigenetic modifiers and genetic drivers in multi-omics integration studies