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Anti-Human PD-1 Recombinant Antibody (ANB-011), APC (HS870337)

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  • 50T
  • 100T
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概述
货号HS870337
品牌abinScience
种属反应性Human
应用FCM
宿主Human
同种型IgG4, kappa
克隆号ANB-011
偶联物APC
克隆类型Monoclonal
靶标Programmed cell death protein 1, Protein PD-1, hPD-1, PD1, PDCD1, CD279
内毒素水平Please contact with the lab for this information.
相关产品 Human IgG4 (S228P) Recombinant Isotype Control Antibody (13R4), APC
Accession号Q15116
状态Liquid
保存溶液 0.01M PBS, pH 7.4, 0.2% BSA, 0.05% Proclin 300.

Please refer to the specific buffer information in the hardcopy of datasheet or the lot-specific COA.

稳定性和存储Store at 4°C for 12 months. Protect from light. Do not freeze.
背景

Programmed cell death protein 1 (CD279/PD-1) is a ~31 kDa protein. Inhibitory receptor on antigen activated T-cells that plays a critical role in induction and maintenance of immune tolerance to self. Delivers inhibitory signals upon binding to ligands CD274/PDCD1L1 and CD273/PDCD1LG2. Following T-cell receptor (TCR) engagement, PDCD1 associates with TCR-CD3 in the immunological synapse and directly inhibits T-cell activation. Suppresses T-cell activation through the recruitment of PTPN11/SHP-2: following ligand-binding, PDCD1 is phosphorylated within the ITSM motif, leading to the recruitment of the protein tyrosine phosphatase PTPN11/SHP-2 that mediates dephosphorylation of key TCR proximal signaling molecules, such as ZAP70, PRKCQ/PKCtheta and CD247/CD3zeta. CD279 is the therapeutic target of pembrolizumab (Keytruda) and nivolumab (Opdivo).

1. Fife, BT. et al. (2011) Annals of the New York Academy of Sciences 1217, 45-59. PMID: 21276005
2. Bardhan, K. et al. (2019) Scientific reports 9, 17252. PMID: 31754127
3. Patsoukis, N. et al. (2020) Communications biology 3, 128. PMID: 32184441
4. Xiao, X. et al. (2023) Nature communications 14, 2859. PMID: 37208329
5. Zak, KM. et al. (2015) Structure (London, England : 1993) 23, 2341-2348. PMID: 26602187
NoteFor flow cytometric staining, the suggested use of this reagent is 0.5 µg per million cells in 100 µL volume. It is recommended that the reagent be titrated for optimal performance for each application. For research use only.
图片
参考文献
公式
质量 (g) = 浓度 (mol/L) × 体积 (L) × 分子量 (g/mol)
填写 质量、浓度、体积中的任意 2 项 + 分子量,自动计算未知值。
质量
=
浓度
×
体积
分子量 *
g/mol
公式
C₁ × V₁ = C₂ × V₂
填写 4 项中的任意 3 项,自动计算未知值。
母液
C₁ (起始浓度)
×
V₁ (起始体积)
=
工作液
C₂ (终浓度)
×
V₂ (终体积)

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