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Anti-APPL1 Polyclonal Antibody (ARO-A13601)

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概述
货号ARO-A13601
品牌ProteoGenix
描述
Anti-APPL1 Polyclonal Antibody (ARO-A13601) is a rabbit polyclonal antibody detecting APPL1, Dip13-alpha, APPL, DIP13A, DCC-interacting protein 13-alpha, KIAA1428, Adapter protein containing PH domain, PTB domain and leucine zipper motif 1 in ELISA, IHC, WB. Suitable for Human, Mouse.
Highlights
  • Affinity Purified — Minimal background and high purity for reliable results.
  • Multi-Application — Validated across multiple applications.
  • Multi-Species — Cross-reactive for translational research.
种属反应性Human, Mouse
应用ELISA, IHC, WB
宿主Rabbit
同种型IgG
克隆类型Polyclonal
免疫原E. coli - derived recombinant Human APPL1 (Phe404-Ser673).
靶标APPL1, Dip13-alpha, APPL, DIP13A, DCC-interacting protein 13-alpha, KIAA1428, Adapter protein containing PH domain, PTB domain and leucine zipper motif 1
纯化方式Purified by antigen affinity column.
Accession号Q9UKG1
状态Liquid
保存溶液 0.01M PBS, pH 7.4, 50% Glycerol, 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

DCC-interacting protein 13-alpha (APPL1) is a ~79 kDa protein. Multifunctional adapter protein that binds to various membrane receptors, nuclear factors and signaling proteins to regulate many processes, such as cell proliferation, immune response, endosomal trafficking and cell metabolism. Regulates signaling pathway leading to cell proliferation through interaction with RAB5A and subunits of the NuRD/MeCP1 complex. Functions as a positive regulator of innate immune response via activation of AKT1 signaling pathway by forming a complex with APPL1 and PIK3R1. Inhibits Fc-gamma receptor-mediated phagocytosis through PI3K/Akt signaling in macrophages. Regulates TLR4 signaling in activated macrophages.

1. Mitsuuchi, Y. et al. (1999) Oncogene 18, 4891-8. PMID: 10490823
2. Miaczynska, M. et al. (2004) Cell 116, 445-56. PMID: 15016378
3. Wang, C. et al. (2009) The Journal of biological chemistry 284, 31608-15. PMID: 19661063
4. Prudente, S. et al. (2015) American journal of human genetics 97, 177-85. PMID: 26073777
5. Song, J. et al. (2016) Oncotarget 7, 279-92. PMID: 26583432
6. Cheng, KK. et al. (2014) Diabetes 63, 3748-58. PMID: 24879834
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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