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InVivoMAb Anti-Human/Mouse CD274/PD-L1/B7-H1 Antibody (PRO304397) (ARO-A12965)

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概述
货号ARO-A12965
品牌ProteoGenix
描述
InVivoMAb Anti-Human/Mouse CD274/PD-L1/B7-H1 Antibody (PRO304397) [PRO304397] (ARO-A12965) is a mouse monoclonal antibody detecting Programmed cell death 1 ligand 1, PD-L1, PDCD1 ligand 1, Programmed death ligand 1, hPD-L1, B7 homolog 1, B7-H1, CD274, CD274, B7H1, PDCD1L1, PDCD1LG1, PDL1 in FuncS. Suitable for Human.
Highlights
  • Protein A/G purified from cell culture supernatant. — Ensuring high specificity and minimal background.
  • Validated for FuncS — Optimized for consistent performance.
种属反应性Human
应用FuncS
宿主Mouse
同种型IgG2a, kappa
克隆号PRO304397
克隆类型Monoclonal
靶标Programmed cell death 1 ligand 1, PD-L1, PDCD1 ligand 1, Programmed death ligand 1, hPD-L1, B7 homolog 1, B7-H1, CD274, CD274, B7H1, PDCD1L1, PDCD1LG1, PDL1
内毒素水平Please contact with the lab for this information.
纯度>95% as determined by SDS-PAGE.
相关产品 pH 7.4 Dilution Buffer
纯化方式Protein A/G purified from cell culture supernatant.
Accession号Q9NZQ7
状态Liquid
保存溶液 0.01M PBS, pH 7.4.

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

稳定性和存储Use a manual defrost freezer and avoid repeated freeze-thaw cycles. Store at 4°C short term (1-2 weeks). Store at -20°C 12 months. Store at -80°C long term.
背景

Programmed cell death 1 ligand 1 (CD274/PD-L1) is a ~33 kDa protein. Plays a critical role in induction and maintenance of immune tolerance to self. As a ligand for the inhibitory receptor PDCD1/PD-1, modulates the activation threshold of T-cells and limits T-cell effector response. Through a yet unknown activating receptor, may costimulate T-cell subsets that predominantly produce interleukin-10 (IL10). Can also act as a transcription coactivator: in response to hypoxia, translocates into the nucleus via its interaction with phosphorylated STAT3 and promotes transcription of GSDMC, leading to pyroptosis. CD274 is the therapeutic target of atezolizumab (Tecentriq) and durvalumab (Imfinzi).

1. Freeman, GJ. et al. (2000) The Journal of experimental medicine 192, 1027-34. PMID: 11015443
2. Mezzadra, R. et al. (2017) Nature 549, 106-110. PMID: 28813410
3. Burr, ML. et al. (2017) Nature 549, 101-105. PMID: 28813417
4. Huang, X. et al. (2019) Cancer immunology research 7, 1580-1590. PMID: 31399419
5. Kennedy, A. et al. (2023) The EMBO journal 42, e111556. PMID: 36727298
6. Dong, H. et al. (1999) Nature medicine 5, 1365-9. PMID: 10581077
7. Hou, J. et al. (2020) Nature cell biology 22, 1264-1275. PMID: 32929201
NoteFor research use only. Not suitable for clinical or therapeutic use.
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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