癌症的基本特征包括细胞增殖、血管生成、迁移、凋亡逃避机制和细胞永生等。找到癌症发生过程中这些通路的关键标记物和对应的抗体用于检测至关重要。
为您推荐一个泛素化位点预测神器——泛素化分析工具，可以为您的蛋白的泛素化位点作出预测和评分。
细胞自噬受体图形绘图工具为你的蛋白的细胞受体结合位点作出预测和评分，识别结合到自噬通路中的蛋白是非常重要的，便于让我们理解自噬在正常生理、病理过程中的作用，如发育、细胞分化、神经退化性疾病、压力条件下、感染和癌症。
PARS2 Antibody - N-terminal region
Rabbit Polyclonal Antibody
- 产品详情
- 实验流程
Application 
| WB |
|---|---|
| Primary Accession | Q7L3T8 |
| Other Accession | NM_152268, NP_689481 |
| Reactivity | Human, Mouse, Rat, Rabbit, Zebrafish, Pig, Guinea Pig, Horse, Bovine |
| Predicted | Human, Mouse, Rat, Rabbit, Zebrafish, Pig, Guinea Pig, Horse, Bovine |
| Host | Rabbit |
| Clonality | Polyclonal |
| Calculated MW | 53263 Da |
| Gene ID | 25973 |
|---|---|
| Alias Symbol | MT-PRORS |
| Other Names | Probable proline--tRNA ligase, mitochondrial, 6.1.1.15, Prolyl-tRNA synthetase, ProRS, PARS2 |
| Format | Liquid. Purified antibody supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose. |
| Reconstitution & Storage | Add 50 ul of distilled water. Final anti-PARS2 antibody concentration is 1 mg/ml in PBS buffer with 2% sucrose. For longer periods of storage, store at 20°C. Avoid repeat freeze-thaw cycles. |
| Precautions | PARS2 Antibody - N-terminal region is for research use only and not for use in diagnostic or therapeutic procedures. |
For Research Use Only. Not For Use In Diagnostic Procedures.
| Name | PARS2 (HGNC:30563) |
|---|---|
| Function | Mitochondrial aminoacyl-tRNA synthetase that catalyzes the specific attachment of the proline amino acid (aa) to the homologous transfer RNA (tRNA), further participating in protein synthesis. The reaction occurs in a two steps: proline is first activated by ATP to form Pro-AMP and then transferred to the acceptor end of tRNA(Pro). |
| Cellular Location | Mitochondrion matrix |
Research Areas
Application Protocols
Provided below are standard protocols that you may find useful for product applications.
REFERENCES
Ota T.,et al.Nat. Genet. 36:40-45(2004).
Gregory S.G.,et al.Nature 441:315-321(2006).
Mural R.J.,et al.Submitted (SEP-2005) to the EMBL/GenBank/DDBJ databases.
Bechtel S.,et al.BMC Genomics 8:399-399(2007).
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