首页 > 产品中心 > 抗体 > 一抗

Anti-Human PRPF8 Polyclonal Antibody (ARO-A12000)

价格:
规格:
数量:
  • 概述

  • 图片

  • 参考文献

概述
货号ARO-A12000
品牌ProteoGenix
描述
Anti-Human PRPF8 Polyclonal Antibody (ARO-A12000) is a rabbit polyclonal antibody detecting 220 kDa U5 snRNP-specific protein, p220, PRPF8, Splicing factor Prp8, PRP8 homolog, Pre-mRNA-processing-splicing factor 8, PRPC8 in ELISA, IHC, WB. Suitable for Human.
Highlights
  • Affinity Purified — Minimal background and high purity for reliable results.
  • Multi-Application — Validated across multiple applications.
种属反应性Human
应用ELISA, IHC, WB
宿主Rabbit
克隆类型Polyclonal
同种型IgG
免疫原E. coli - derived recombinant Human PRPF8 (Thr2071-Ala2335).
靶标220 kDa U5 snRNP-specific protein, p220, PRPF8, Splicing factor Prp8, PRP8 homolog, Pre-mRNA-processing-splicing factor 8, PRPC8
纯化方式Purified by antigen affinity column.
Accession号Q6P2Q9
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

Pre-mRNA-processing-splicing factor 8 (PRPF8) is a ~273 kDa protein. Plays a role in pre-mRNA splicing as core component of precatalytic, catalytic and postcatalytic spliceosomal complexes, both of the predominant U2-type spliceosome and the minor U12-type spliceosome. Functions as a scaffold that mediates the ordered assembly of spliceosomal proteins and snRNAs. Required for the assembly of the U4/U6-U5 tri-snRNP complex, a building block of the spliceosome. Functions as a scaffold that positions spliceosomal U2, U5 and U6 snRNAs at splice sites on pre-mRNA substrates, so that splicing can occur. Interacts with both the 5' and the 3' splice site.

1. Luo, HR. et al. (1999) RNA (New York, N.Y.) 5, 893-908. PMID: 10411133
2. Schneider, C. et al. (2002) Molecular and cellular biology 22, 3219-29. PMID: 11971955
3. Bertram, K. et al. (2017) Nature 542, 318-323. PMID: 28076346
4. Zhang, X. et al. (2017) Cell 169, 918-929.e14. PMID: 28502770
5. Bertram, K. et al. (2017) Cell 170, 701-713.e11. PMID: 28781166
6. Zhan, X. et al. (2018) Science (New York, N.Y.) 359, 537-545. PMID: 29301961
7. Zhang, X. et al. (2018) Cell research 28, 307-322. PMID: 29360106
8. Haselbach, D. et al. (2018) Cell 172, 454-464.e11. PMID: 29361316
9. Zhan, X. et al. (2018) Cell research 28, 1129-1140. PMID: 30315277
10. Fica, SM. et al. (2019) Science (New York, N.Y.) 363, 710-714. PMID: 30705154
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)

相关产品推荐