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  • mProX™ Human PDCD1LG2 Stable Cell Line

    [CAT#: S01YF-1023-PY184]
    Product Category:
    Membrane Protein Stable Cell Lines
    Subcategory:
    Immune Checkpoint Cell Lines

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    Product Information

    Target Family
    Immune Checkpoint
    Target Protein Species
    Human
    Host Cell Type
    HEK293;CHO-K1;KHOS;U2OS
    Target Classification
    Immune Checkpoint Cell Lines
    Target Research Area
    Infectious Research
    Related Diseases
    Cysticercosis; Autoimmune Cardiomyopathy
    Gene ID
    Human:80380
    UniProt ID
    Human:Q9BQ51

    Product Properties

    Biosafety Level
    Level 1
    Activity
    Yes
    Quantity
    10⁶ cells per vial
    Applications
    PDCD1LG2, also known as PDL2, is an immunological checkpoint molecule that plays a role in regulating immune responses. Several studies have investigated the applications of PDCD1LG2 in different types of cancer. In hepatocellular carcinoma (HCC), PDCD1LG2 expression was found to be positively correlated with the expression of other immunological checkpoints and was associated with better sensitivity to immunotherapy agents. In ovarian cancer, a pyroptosis-related signature that included PDCD1LG2 was identified as a prognostic marker and was associated with immune responses. In colorectal cancer, PDCD1LG2 expression was found to be positively correlated with immune checkpoint molecules and was associated with immune activity in the tumor microenvironment. In gliomas, FCGR2B expression was positively correlated with PDCD1LG2 expression and other immune checkpoint molecules, and high expression of FCGR2B was associated with immunosuppression in the tumor microenvironment. In bladder cancer, ADRM1 expression was elevated in tumor tissues compared to adjacent tissues and was associated with worse overall survival. ADRM1 expression was also positively correlated with immune checkpoint molecules, immune infiltration, and tumor mutation burden, suggesting its potential as a biomarker and therapeutic target. Overall, these studies highlight the diverse applications of PDCD1LG2 in cancer research, including its role in predicting prognosis, evaluating the tumor immune microenvironment, and guiding treatment decisions.

    Protocols

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    FAQ

    chat Jordan Jones (Verified Customer)

    What is the role of PDCD1LG2 in the tumor microenvironment? Mar 01 2021

    chat Patrick Liam (Creative Biolabs Scientific Support)

    PDCD1LG2, also known as PD-L2, plays a significant role in modulating the immune response within the tumor microenvironment. It interacts with PD-1 on T cells to inhibit their activity, contributing to immune evasion by tumor cells. Mar 01 2021

    chat Casey Davis (Verified Customer)

    How does PDCD1LG2 expression affect cancer prognosis? Jan 16 2021

    chat Patrick Liam (Creative Biolabs Scientific Support)

    The expression of PDCD1LG2 in tumors can be associated with prognosis in various cancers. Its expression levels can correlate with tumor aggressiveness and patient survival outcomes. Jan 16 2021

    Published Data

    Fig.1 The proliferation of osteosarcoma cells is influenced by the expression of PD-L2.

    The cell viability of KHOS and U2OS cells was assessed through CCK-8 assays following PD-L2 knockdown, with each experiment being repeated three times. The data is expressed as the mean ± SD, and statistical significance was indicated by *P < 0.05, **P < 0.01, and ***P < 0.001.

    Ref: Ren, Tingting, et al. "Osteosarcoma cell intrinsic PD-L2 signals promote invasion and metastasis via the RhoA-ROCK-LIMK2 and autophagy pathways." Cell Death & Disease 10.4 (2019): 261.

    Pubmed: 30886151

    DOI: 10.1038/s41419-019-1497-1

    Research Highlights

    Zhang, Shuqiao. et al. "Single cell and bulk transcriptome analysis identified oxidative stress response-related features of Hepatocellular Carcinoma." Frontiers in cell and developmental biology, 2023.
    This article presents a study on the effectiveness of different teaching approaches on students' academic performance in math. The study was conducted with a sample of 100 high school students, divided into two groups. One group received traditional lecture-based instruction while the other received a more interactive approach. Results showed that the interactive approach led to a significant improvement in students' math scores compared to the traditional approach. The findings highlight the potential benefits of using more engaging teaching methods in math education.
    Zhang, Shuqiao. et al. "Single cell and bulk transcriptome analysis identified oxidative stress response-related features of Hepatocellular Carcinoma." Frontiers in cell and developmental biology, 2023.
    Pubmed: 37842089   DOI: 10.3389/fcell.2023.1191074

    Yang, Jiani. et al. "A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer." Journal of ovarian research, 2023.
    In this study, the researchers aimed to investigate the potential prognostic patterns of pyroptosis in ovarian cancer (OV), a highly fatal gynecological malignant tumor characterized by high recurrence rates and heterogeneity. Using the TCGA-OV dataset, they identified 106 potential pyroptosis-related genes (PRGs) among 6406 differentially expressed genes (DEGs). Through LASSO-Cox analysis, they established a 6-gene prognostic signature (consisting of CITED2, EXOC6B, MIA2, NRAS, SETBP1, and TRPV46) that showed promising prognostic value in OV. Further analyses showed that this signature could also be used to construct and validate a nomogram model for predicting 1-year, 2-year, and 3-year OV survival. Pathway analysis revealed the potential role of pyroptosis-related genes in cancer progression, while an m6A analysis showed higher m6A levels in the high-risk group. The CIBERSORT algorithm was used to assess the tumor immune microenvironment and showed higher levels of M1 macrophages, activated DCs, and key immune checkpoint molecules (CTLA4, PDCD1LG2, and HAVCR2) in the high-risk group. Interestingly, this group showed poor sensitivity towards immunotherapy but better sensitivity towards certain chemotherapies. In summary, the pyroptosis-related signature proposed in this study has the potential to aid in prognosis prediction and evaluation of immune responses, providing important guidance in personalized treatment decisions for OV patients.
    Yang, Jiani. et al. "A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer." Journal of ovarian research, 2023.
    Pubmed: 37730669   DOI: 10.1186/s13048-023-01275-2

    Please note: All products are "FOR RESEARCH USE ONLY. NOT FOR USE IN DIAGNOSTIC OR CLINICAL PROCEDURES" For licensing inquiries, please contact
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