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Merck
CN

17-701

EZ-Magna RIP® RNA结合蛋白质免疫沉淀试剂盒

12 individual RNA-binding protein immunoprecipitation (RIP) reactions using protein A/G magnetic beads

别名:

RNA免疫沉淀试剂盒

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NACRES:
NA.84
UNSPSC Code:
41105331
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产品名称

EZ-Magna RIP® RNA结合蛋白质免疫沉淀试剂盒, 12 individual RNA-binding protein immunoprecipitation (RIP) reactions using protein A/G magnetic beads

packaging

kit of 12 assay(s)

manufacturer/tradename

Upstate®

technique(s)

immunoprecipitation (IP): suitable (RNA-binding protein immunoprecipitation)

Quality Level

Disclaimer

除非我们的产品目录或产品附带的其他公司文档另有说明,否则我们的产品仅供研究使用,不得用于任何其他目的,包括但不限于未经授权的商业用途、体外诊断用途、离体或体内治疗用途或任何类型的人类或动物食用或应用。

Application

RNA免疫沉淀(RIP)试剂盒,包含使用蛋白A/G磁珠进行12个单独RNA结合蛋白免疫沉淀(RIP)反应所需的所有试剂。包含的对照引物。

Features and Benefits

  • 蛋白质A/G磁珠,经优化可结合核酸蛋白免疫复合物
  • RNAse抑制剂和无RNAse试剂
  • 阳性和阴性对照


General description

RNA结合蛋白免疫沉淀(RIP)是更为人熟知的ChIP应用(染色质免疫沉淀)的RNA模拟,可在体内细胞环境中识别DNA结合蛋白的DNA靶点。RIP可用于识别与特定核或细胞质结合蛋白相关的特定RNA分子(多种类型)。这些实验包括对内源性形成的RNA结合蛋白复合物进行免疫沉淀,并共同分离与该RNA结合蛋白相关的任何RNA物种。 这些RNA物种的纯化可以询问和鉴定mRNA(以及与之相关的潜在非编码RNA),并可以直接使用下游应用进行测量,包括定量逆转录聚合酶链反应(RT-PCR)、微阵列分析(RIP-chip)和“深度测序”或基于第二代测序的平台(RIP-Seq)。

Other Notes

  • 磁珠蛋白A/G
  • RIP清洗缓冲液
  • RIP裂解缓冲液
  • 0.5 M EDTA
  • 10% SDS
  • 盐溶液I
  • 盐溶液II
  • 沉淀增强剂
  • 正常小鼠IgG
  • 提纯后的兔IgG
  • 蛋白酶抑制剂混合物200X
  • RNase抑制剂
  • 蛋白酶K (10 mg/mL)
  • 无核酸酶水
  • 阳性对照抗体(Anti-SNRNP70)
  • 对照引物

Packaging

三个盒子包含进行12次单独RNA结合蛋白免疫沉淀(RIP)反应所需的所有试剂。
包括阳性对照抗体和对照引物。

Preparation Note

收到后,将组件储存在标签上指示的温度下。当按照指示储存时,试剂盒组件自运输之日起可稳定储存6个月。

Legal Information

MAGNA RIP is a registered trademark of Merck KGaA, Darmstadt, Germany
UPSTATE is a registered trademark of Merck KGaA, Darmstadt, Germany

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Hazard Classifications

Acute Tox. 4 Oral - Aquatic Chronic 3 - Eye Irrit. 2 - Skin Irrit. 2

存储类别

10 - Combustible liquids


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相关内容

All eukaryotic organisms require tight regulation of gene expression for complex processes such as development, differentiation, cell specification, and responses to environmental stimuli. Many genes are regulated post-transcriptionally, in addition to transcriptional mechanisms of gene regulation. RNA-binding proteins (RBPs) are essential for post-transcriptional gene regulation, linking transcription and translation in many processes including transcription, splicing, export, rate of translation and turnover. In all of these events, RBPs coordinate regulation of the amount of protein produced from mRNA transcripts.

Cancer is a complex disease manifestation. At its core, it remains a disease of abnormal cellular proliferation and inappropriate gene expression. In the early days, carcinogenesis was viewed simply as resulting from a collection of genetic mutations that altered the gene expression of key oncogenic genes or tumor suppressor genes leading to uncontrolled growth and disease (Virani, S et al 2012). Today, however, research is showing that carcinogenesis results from the successive accumulation of heritable genetic and epigenetic changes. Moreover, the success in how we predict, treat and overcome cancer will likely involve not only understanding the consequences of direct genetic changes that can cause cancer, but also how the epigenetic and environmental changes cause cancer (Johnson C et al 2015; Waldmann T et al 2013). Epigenetics is the study of heritable gene expression as it relates to changes in DNA structure that are not tied to changes in DNA sequence but, instead, are tied to how the nucleic acid material is read or processed via the myriad of protein-protein, protein-nucleic acid, and nucleic acid-nucleic acid interactions that ultimately manifest themselves into a specific expression phenotype (Ngai SC et al 2012, Johnson C et al 2015). This review will discuss some of the principal aspects of epigenetic research and how they relate to our current understanding of carcinogenesis. Because epigenetics affects phenotype and changes in epigenetics are thought to be key to environmental adaptability and thus may in fact be reversed or manipulated, understanding the integration of experimental and epidemiologic science surrounding cancer and its many manifestations should lead to more effective cancer prognostics as well as treatments (Virani S et al 2012).

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