Piperidolate
(Synonyms: 二苯哌酯) 目录号 : GC31056
Piperidolate是一种抗胆碱剂，作用于大鼠和狗，可抑制乙酰胆碱引起的肠抽筋。
Cas No.:82-98-4
Sample solution is provided at 25 µL, 10mM.
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Quality Control & SDS
- View current batch:
- Purity: >99.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
Piperidolate is an antimuscarinic, inhibits intestinal cramp induced by acetylcholine (rats and dogs).
| Cas No. | 82-98-4 | SDF | |
| 别名 | 二苯哌酯 | ||
| Canonical SMILES | O=C(OC1CN(CC)CCC1)C(C2=CC=CC=C2)C3=CC=CC=C3 | ||
| 分子式 | C21H25NO2 | 分子量 | 323.43 |
| 溶解度 | DMSO : ≥ 150 mg/mL (463.78 mM) | 储存条件 | Store at -20°C |
| General tips | 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液；一旦配成溶液，请分装保存，避免反复冻融造成的产品失效。 储备液的保存方式和期限：-80°C 储存时，请在 6 个月内使用，-20°C 储存时，请在 1 个月内使用。 为了提高溶解度，请将管子加热至37℃，然后在超声波浴中震荡一段时间。 |
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| Shipping Condition | 评估样品解决方案：配备蓝冰进行发货。所有其他可用尺寸：配备RT，或根据请求配备蓝冰。 | ||
| 制备储备液 | |||
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1 mg | 5 mg | 10 mg |
| 1 mM | 3.0919 mL | 15.4593 mL | 30.9186 mL |
| 5 mM | 0.6184 mL | 3.0919 mL | 6.1837 mL |
| 10 mM | 0.3092 mL | 1.5459 mL | 3.0919 mL |
| 第一步：请输入基本实验信息（考虑到实验过程中的损耗，建议多配一只动物的药量） | ||||||||||
| 给药剂量 | mg/kg |  |
动物平均体重 | g | |
每只动物给药体积 | ul | |
动物数量 | 只 |
| 第二步：请输入动物体内配方组成（配方适用于不溶于水的药物；不同批次药物配方比例不同，请联系GLPBIO为您提供正确的澄清溶液配方） | ||||||||||
| % DMSO % % Tween 80 % saline | ||||||||||
| 计算重置 | ||||||||||
计算结果:
工作液浓度： mg/ml；
DMSO母液配制方法： mg 药物溶于 μL DMSO溶液（母液浓度 mg/mL，
体内配方配制方法：取 μL DMSO母液，加入 μL PEG300，混匀澄清后加入μL Tween 80，混匀澄清后加入 μL saline，混匀澄清。
1. 首先保证母液是澄清的；
2.
一定要按照顺序依次将溶剂加入，进行下一步操作之前必须保证上一步操作得到的是澄清的溶液，可采用涡旋、超声或水浴加热等物理方法助溶。
3. 以上所有助溶剂都可在 GlpBio 网站选购。
PIPERIDOLATE hydrochloride
m6A-related lncRNA-based immune infiltration characteristic analysis and prognostic model for colonic adenocarcinoma
Background: Colonic adenocarcinoma (COAD) is a common gastrointestinal tract tumor, and its occurrence and progression are typically associated with genomic instability, tumor-suppressor gene and oncogene mutations, and tumor mutational load. N6-methyladenosine (m6A) modification of RNAs and long non-coding RNA (lncRNA) expression are important in tumorigenesis and progression. However, the regulatory roles of m6A-associated lncRNAs in the tumor microenvironment, stratification of prognosis, and immunotherapy are unclear.
Methods: We screened 43 prognostic lncRNAs linked to m6A and performed consistent molecular typing of COAD using consensus clustering. The single-sample Gene Set Enrichment Analysis and ESTIMATE algorithms were used to assess the immune characteristics of different subgroups. Covariation between methylation-related prognostic lncRNAs was eliminated by least absolute shrinkage and selection operator Cox regression. A nomogram was created and evaluated by combining the methylation-related prognostic lncRNA model with other clinical factors. The relationship between the prognostic model grouping and microsatellite instability, immunophenotype score, and tumor mutation burden was validated using R scripts. Finally, we used a linkage map to filter sensitive medicines to suppress the expression of high-risk genes. Three m6A-associated lncRNA modes were identified in 446 COAD specimens with different clinical endpoints and biological statuses. Risk scores were constructed based on the m6A-associated lncRNA signature genes. Patients with lower risk scores showed superior immunotherapy responses and clinical benefits compared to those with higher risk scores. Lower risk scores were also correlated with higher immunophenotype scores, tumor mutation burden, and mutation rates in significantly mutated genes (e.g., FAT4 and MUC16). Piperidolate, quinostatin, and mecamylamin were screened for their abilities to suppress the expression of high-risk genes in the model.
Conclusions: Quantitative assessment of m6A-associated lncRNAs in single tumors can enhance the understanding of tumor microenvironment profiles. The prognostic model constructed using m6A-associated lncRNAs may facilitate prognosis and immunotherapy stratification of patients with COAD; finally, three drugs with potential therapeutic value were screened based on the model.
Aggregation of antiacetylcholine drugs in aqueous solution: micellar properties of some diphenylmethane derivatives
Light scattering methods have been used to examine the aggregation in aqueous solution of a series of antiacetylcholine drugs based on the diphenylmethane nucleus. The drugs investigated included adiphenine hydrochloride, piperidolate hydrochloride, benztropine mesylate, orphenadrine hydrochloride, chlorphenoxamine hydrochloride, lachesine hydrochloride, poldine methylsulphate, pipenzolate bromide, clidinium bromide, benzilonium bromide and ambutonium bromide. A micellar pattern of association was established for all compounds and critical micellar concentrations and aggregation numbers have been determined.