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Anti-Human METTL1 Polyclonal Antibody (ARO-A12357)

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概述
货号ARO-A12357
品牌ProteoGenix
描述
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 METTL1 (Thr34-His276).
靶标miRNA (guanine-N(7)-)-methyltransferase, Methyltransferase-like protein 1, tRNA (guanine-N(7)-)-methyltransferase, mRNA (guanine-N(7)-)-methyltransferase, C12orf1, tRNA (guanine(46)-N(7))-methyltransferase, METTL1, tRNA(m7G46)-methyltransferase
纯化方式Purified by antigen affinity column.
Accession号Q9UBP6
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

tRNA (guanine-N(7)-)-methyltransferase (METTL1) is a ~31 kDa protein. Catalytic component of METTL1-WDR4 methyltransferase complex that mediates the formation of N(7)-methylguanine in a subset of RNA species, such as tRNAs, mRNAs and microRNAs (miRNAs). Catalyzes the formation of N(7)-methylguanine at position 46 (m7G46) in a large subset of tRNAs that contain the 5'-RAGGU-3' motif within the variable loop. M7G46 interacts with C13-G22 in the D-loop to stabilize tRNA tertiary structure and protect tRNAs from decay. Also acts as a methyltransferase for a subset of internal N(7)-methylguanine in mRNAs. Internal N(7)-methylguanine methylation of mRNAs in response to stress promotes their relocalization to stress granules, thereby suppressing their translation.

1. Alexandrov, A. et al. (2002) RNA (New York, N.Y.) 8, 1253-66. PMID: 12403464
2. Pandolfini, L. et al. (2019) Molecular cell 74, 1278-1290.e9. PMID: 31031083
3. Zhang, LS. et al. (2019) Molecular cell 74, 1304-1316.e8. PMID: 31031084
4. Ruiz-Arroyo, VM. et al. (2023) Nature 613, 383-390. PMID: 36599982
5. Li, J. et al. (2023) Nature 613, 391-397. PMID: 36599985
6. Jin, X. et al. (2023) Cell discovery 9, 65. PMID: 37369656
7. Zhao, Z. et al. (2023) Cell 186, 3208-3226.e27. PMID: 37379838
8. Dai, Z. et al. (2021) Molecular cell 81, 3339-3355.e8. PMID: 34352206
9. Orellana, EA. et al. (2021) Molecular cell 81, 3323-3338.e14. PMID: 34352207
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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