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CD33 Knockout HEK293 Cell Line

CD33 Knockout HEK293 Cell Line
Cat.No.:

EDJ-KQ17685

Species:

Human

Cell Name:

HEK293

Gene:

CD33

Gene ID:

945

Size:

1×10⁶cells

CD33 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-KQ17685
Product Name CD33 Knockout Cell Line (HEK 293)
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
945
Gene Synonyms CD33rSiglec|SIGLEC-3|SIGLEC3|p67
Summary
Enables protein phosphatase binding activity; protein tyrosine phosphatase activator activity; and sialic acid binding activity. Involved in several processes, including immune response-regulating signaling pathway; negative regulation of cytokine production; and negative regulation of monocyte activation. Located in Golgi apparatus; external side of plasma membrane; and peroxisome. [provided by Alliance of Genome Resources, Jul 2025]
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=9.1
Proceedings of the National Academy of Sciences of the United States of America
Siglecs are a family of sialic acid-binding receptors expressed by cells of the immune system and a few other cell types capable of modulating immune cell functions upon recognition of sialoglycan ligands. While human Siglecs primarily bind to sialic acid residues on diverse types of glycoproteins and glycolipids that constitute the sialome, their fine binding specificities for elaborated complex glycan structures and the contribution of the glycoconjugate and protein context for recognition of sialoglycans at the cell surface are not fully elucidated. Here, we generated a library of isogenic human HEK293 cells with combinatorial loss/gain of individual sialyltransferase genes and the introduction of sulfotransferases for display of the human sialome and to dissect Siglec interactions in the natural context of glycoconjugates at the cell surface. We found that Siglec-4/7/15 all have distinct binding preferences for sialylated GalNAc-type O-glycans but exhibit selectivity for patterns of O-glycans as presented on distinct protein sequences. We discovered that the sulfotransferase CHST1 drives sialoglycan binding of Siglec-3/8/7/15 and that sulfation can impact the preferences for binding to O-glycan patterns. In particular, the branched Neu5Acα2-3(6--sulfo)Galβ1-4GlcNAc (6'-Su-SLacNAc) epitope was discovered as the binding epitope for Siglec-3 (CD33) implicated in late-onset Alzheimer's disease. The cell-based display of the human sialome provides a versatile discovery platform that enables dissection of the genetic and biosynthetic basis for the Siglec glycan interactome and other sialic acid-binding proteins.
This KO model may be useful for: - Investigating Siglec-sialoglycan binding specificities in a human cell-based context. - Elucidating CD33-dependent immune signaling pathways. - Functional validation of glycan array interactions. - Studying CD33 as a target for immunomodulatory drug screening. - Characterizing cell surface receptor-ligand interactions in myeloid biology.

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