mProX™ Human F3 Stable Cell Line

Product Information

Target Family

Other Targets

Target Protein Species

Human

Host Cell Type

HEK293;CHO-K1;HK-1;AGS

Target Classification

Other Targets Drug Discovery Assays and Products

Target Research Area

Immunology Research

Related Diseases

Disseminated Intravascular Coagulation; Carotid Artery Thrombosis

Gene ID

Human:2152

UniProt ID

Human:P13726

Product Properties

Biosafety Level

Level 1

Activity

Yes

Quantity

10⁶ cells per vial

Applications

F3, commonly known as Tissue Factor (TF), is a cell surface glycoprotein that plays a crucial role in the initiation of the blood coagulation cascade. Beyond its hemostatic functions, F3 has been implicated in various pathological processes, including tumor growth, angiogenesis, and metastasis. The overexpression of F3 in many cancers has led researchers to explore its potential as a therapeutic target. Its involvement in tumor-associated thrombosis and its role in promoting tumor cell migration and invasion underline its significance in oncology research.

Protocols

Please visit our protocols page.

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FAQ

chat Taylor Williams (Verified Customer)

How does F3-mediated platelet aggregation affect antitumor natural killer cells? Jun 23 2023

chat Patrick Liam (Creative Biolabs Scientific Support)

EBV infection induces F3-mediated platelet aggregation, which inhibits the antitumor function of natural killer (NK) cells. This provides a rationale for developing therapies combining NK cell-based treatments with F3 inhibitors for EBV-associated epithelial malignancies. Jun 23 2023

chat Peyton Williams (Verified Customer)

What is the impact of F3 on the gut microbiota in mice? Nov 27 2022

chat Patrick Liam (Creative Biolabs Scientific Support)

Different fractions of whey protein hydrolysate treated by electrodialysis, including F3, showed changes in the gut microbiota composition and functions in mice, suggesting potential health impacts. Nov 27 2022

Published Data

Fig.1 Knockdown or overexpression of the F3 gene in EBV-positive epithelial tumor cells.

In EBV-positive cell lines, F3 was inhibited, while in EBV-negative cell lines, F3 was augmented through overexpression.

Ref: Duan, Xiaobing, et al. "EBV infection in epithelial malignancies induces resistance to antitumor natural killer cells via F3-mediated platelet aggregation." Cancer Research 82.6 (2022): 1070-1083.

Pubmed: 35064016

DOI: 10.1158/0008-5472.CAN-21-2292

Research Highlights

Liu, Xiaoyi. et al. "Optical enhancement of highly efficient organic-inorganic oxyfluoride red phosphors via the cation co-doping strategy" Dalton transactions (Cambridge, England : 2003), 2023.
In this article, a novel organic cationic matrix, [N(CH3)3][CH3COO], is introduced. The matrix is synthesized and characterized, and its potential applications in various fields are discussed. Results show that the matrix exhibits unique properties suitable for use in different functional materials. The cationic nature of the matrix allows for electrostatic interactions with anionic species, making it a promising candidate for use in charge storage devices. Overall, this newly developed organic matrix has the potential to significantly impact various industries.
Liu, Xiaoyi. et al. "Optical enhancement of highly efficient organic-inorganic oxyfluoride red phosphors via the cation co-doping strategy" Dalton transactions (Cambridge, England : 2003), 2023.
Pubmed: 37870811 DOI: 10.1039/d3dt01860a

van Twist, Eris. et al. "An EEG-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children." Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2023.
The pediatric intensive care unit (PICU) often experiences disruptions in sleep, but the ability to perform real-time sleep monitoring at the bedside is currently lacking. This study aimed to develop a simple index for sleep classification using spectral band powers of electroencephalography (EEG) data. By utilizing this index, sleep disturbances in the PICU may be better understood and managed.
van Twist, Eris. et al. "An EEG-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children." Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2023.
Pubmed: 37869968 DOI: 10.5664/jcsm.10880