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KMT2B Knockout HEK293 Cell Line

KMT2B Knockout HEK293 Cell Line
Cat.No.:

EDJ-KQ2759

Species:

Human

Cell Name:

HEK293

Gene:

KMT2B

Gene ID:

9757

Size:

1×10⁶cells

KMT2B 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-KQ2759
Product Name KMT2B 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
NCBI Gene ID
Gene Synonyms CXXC10|DYT28|HRX2|MLL1B|MLL2|MLL4|MRD68|TRX2|WBP-7|WBP7
Summary
This gene encodes a protein which contains multiple domains including a CXXC zinc finger, three PHD zinc fingers, two FY-rich domains, and a SET (suppressor of variegation, enhancer of zeste, and trithorax) domain. The SET domain is a conserved C-terminal domain that characterizes proteins of the MLL (mixed-lineage leukemia) family. This gene is ubiquitously expressed in adult tissues. It is also amplified in solid tumor cell lines, and may be involved in human cancer. Two alternatively spliced transcript variants encoding distinct isoforms have been reported for this gene, however, the full length nature of the shorter transcript is not known. [provided by RefSeq, Jul 2008]
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.
LociSTR Info (Sample Cell)
Sample Cell Line: HEK293
STR Info (Cell bank)
Cell Line: HEK293
Allele1Allele2Allele1Allele2
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.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.

Research Publications

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 H3K4me3 methylation in cytokine signaling pathways via JUN and HOXA10 regulation - Studying epigenetic dysregulation and transcriptional reprogramming in cancer, particularly through integrated multi-omics profiling of chromatin accessibility and transcriptomics - Analyzing context-dependent functional hierarchies among histone-modifying enzymes in malignancies - Exploring cooperation between epigenetic and genetic drivers in tumorigenesis - Examining chromatin-bound proteomic states and transcription factor occupancy (e.g., PATZ1, GATA2) in relation to gene expression

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