CD63 Knockout THP-1 Cell Line
Cat.No.:
EDC08232
Species:
Human
Cell Name:
THP-1
Gene:
CD63
Gene ID:
967
Size:
1×10⁶cells
CD63 Knockout THP-1 Cell Line is an exclusive upgraded CRISPR/Cas9 system-mediated gene knockout cell, with the advantages of Optimized Strategy Design, Efficient Cell Transfection, High-Performotion Cas9 Protein and Hassle-Free Cell Selection.
| Cat.No. | EDC08232 |
|---|---|
| Product Name | CD63 Knockout THP-1 Cell Line |
| Species | Human |
| Cell Line | THP-1 |
| Cellosaurus ID | CVCL_0006 |
| Gene ID | |
| Cell Line Synonyms | THP1, THP 1, THPI, THP-1(ATCC), THP-1-O, O-THP-1, Tohoku Hospital Pediatrics-1 |
| Gene | CD63 |
| Summary |
The protein encoded by this gene is a member of the transmembrane 4 superfamily, also known as the tetraspanin family. Most of these members are cell-surface proteins that are characterized by the presence of four hydrophobic domains. The proteins mediate signal transduction events that play a role in the regulation of cell development, activation, growth and motility. The encoded protein is a cell surface glycoprotein that is known to complex with integrins. It may function as a blood platelet activation marker. Deficiency of this protein is associated with Hermansky-Pudlak syndrome. Also this gene has been associated with tumor progression. Alternative splicing results in multiple transcript variants encoding different protein isoforms. [provided by RefSeq, Apr 2012]
|
| Digestion Time | / |
| Morphology | Adherent |
| Passage Ratio | 1:2~1:4 |
| Complete Culture Medium | RPMI-1640+10% FBS |
| Freezing Medium | 90% FBS+10% DMSO |
* 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: THP-1 | STR Info (Cell bank) Cell Line: THP-1 | ||
| Allele1 | Allele2 | Allele1 | Allele2 | |
| Amelogenin | X | Y | X | Y |
| CSF1PO | 11 | 13 | 11 | 13 |
| D1S1656 | 16 | 17 | 16 | 17 |
| D2S1338 | 17 | 18 | 17 | 18 |
| D3S1358 | 15 | 17 | 15 | 17 |
| D5S818 | 11 | 12 | 11 | 12 |
| D7S820 | 10 | 10 | ||
| D8S1179 | 10 | 14 | 10 | 14 |
| D12S391 | 19 | 18 | 19 | |
| D13S317 | 13 | 13 | ||
| D16S539 | 11 | 12 | 11 | 12 |
| D18S51 | 13 | 14 | 13 | 14 |
| D19S433 | 12.2 | 13 | 12.2 | 13 |
| D21S11 | 30 | 31.2 | 30 | 31.2 |
| FGA | 24 | 25 | 24 | 25 |
| Penta D | 10 | 12 | 10 | 12 |
| Penta E | 11 | 15 | 11 | 15 |
| TH01 | 8 | 9.3 | 8 | 9.3 |
| TPOX | 8 | 11 | 8 | 11 |
| VWA | 16 | 16 | ||
* 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.
FAQ
Which is better for studying CD63 function, CD63 Knockout THP-1 Cell Line or CD63 overexpression THP-1 Cell Line?
The choice depends on whether you are studying CD63 (LAMP3, tetraspanin TSPAN30)'s role as a late endosomal/lysosomal tetraspanin or modeling its classical role as an exosome and tumor surface marker. The Knockout line is the standard tool for asking whether CD63 is required for these processes — CD63 is a four-transmembrane tetraspanin highly enriched on late endosomes, lysosomes, and intraluminal vesicles of multivesicular bodies (MVBs), making CD63 one of the most reliable exosome and MVB markers; CD63 also has roles in melanosome biogenesis and platelet activation. Overexpression is useful for studying CD63 in heterologous expression contexts.
For exosome research, the EDITGENE CD63 Knockout in THP-1 is highly informative — THP-1 is a human monocytic leukemia cell line providing a myeloid context for studying CD63's role in exosome biogenesis from macrophage-like cells. Other tetraspanin family members (CD9, CD81, CD151) expression analysis aids interpretation. Rescue with wild-type or trafficking-deficient CD63 (Y235A in the AP-3 binding motif) enables structure-function studies. The knockout is valuable for studying CD63-dependent exosome biogenesis and cargo loading, MVB biology, and emerging CD63-targeted approaches in cancer.
What are the application scenarios for this model?
Primary applications:
• Exosome biogenesis: extracellular vesicle isolation and characterization in CD63-null THP-1 macrophages — CD63 is a classical exosome marker and its loss may affect exosome biogenesis and cargo.
• MVB biology: multivesicular body morphology and intraluminal vesicle formation analysis.
• Tetraspanin family dissection: CD9, CD81, CD151 expression analysis for systematic tetraspanin functional dissection.
• Macrophage exosome marker: anti-CD63 antibody specificity validation in extracellular vesicle research.
EDITGENE recommends this model for researchers investigating exosome biology and CD63 as the classical exosome/MVB marker.
Is this CD63 Knockout THP-1 Cell Line compatible with overexpression rescue experiments?
Yes. CD63 rescue experiments require attention to late endosomal/lysosomal targeting:
• Construct design: use a codon-modified CD63 sequence with a small intracellular C-terminal tag (FLAG, HA). CD63 is a four-transmembrane tetraspanin with C-terminal cytoplasmic GYEVM sequence (YXXΦ AP-3 binding motif) for late endosome/lysosome targeting — preserve all elements.
• Subcellular localization validation: confirm late endosomal/lysosomal localization by CD63-LAMP1 co-staining.
• Trafficking-deficient rescue: Y235A mutation in the AP-3 binding motif redirects CD63 from late endosomes to plasma membrane.
• Functional readout: rescue should restore CD63-positive exosome biogenesis.
THP-1-specific considerations:
• THP-1 is a human acute monocytic leukemia cell line widely used as a monocyte/macrophage model — PMA differentiation generates adherent macrophage-like cells.
• Lentiviral transduction efficiency is moderate; suspension and adherent (post-PMA) phenotypes should be characterized separately.
• THP-1 retains key monocyte/macrophage markers and is relevant for monocyte/macrophage exosome and surface marker biology.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.