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Anti-Mouse PD-1 & VEGFA Bispecific Recombinant Antibody (RMP1-14 & 2G11-2A05) (MS870053)

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  • 50ug
  • 100ug
  • 1mg
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概述
货号MS870053
品牌abinScience
描述
Anti-Mouse PD-1 & VEGFA Bispecific Recombinant Antibody (RMP1-14 / 2G11-2A05) (MS870053) is a mouse monoclonal antibody detecting PD-1 & VEGF,PD-1,VEGF in ELISA. Suitable for Mouse.
Highlights
  • ●Affinity Purified — Minimal background and high purity for reliable results.
种属反应性Mouse
应用ELISA
宿主Mouse
克隆类型Monoclonal
同种型IgG2a (LALA-PG)-scFv, kappa
克隆号RMP1-14 & 2G11-2A05
靶标CD279, PD1, PDCD1, Programmed cell death protein 1, Protein PD-1, PD-1, L-VEGF, N-VEGF, VEGF, VEGFA, VPF, Vascular endothelial growth factor A, long form, Vascular permeability factor
内毒素水平< 10 EU/mg
纯度>95% as determined by SDS-PAGE.
纯化方式Protein A/G purified from cell culture supernatant.
Accession号Q02242 & Q00731
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.

产品使用信息
应用方法 稀释比例
ELISA 1:2000-1:20000
稳定性和存储Use a manual defrost freezer and avoid repeated freeze thaw cycles. Store at 2 to 8°C for frequent use. Store at -20 to -80°C for twelve months from the date of receipt.
背景

Programmed cell death protein 1 (PDL1 & VEGF) 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.

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 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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