PSP
目录号 : GC49691
A two-photon fluorescent probe for H2Sn
Sample solution is provided at 25 µL, 10mM.
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Quality Control & SDS
- View current batch:
- Purity: >98.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
PSP is a two-photon fluorescent probe for hydrogen polysulfide (H2Sn), a reactive sulfur species (RSS) formed during ferroptosis.1 Upon reaction with H2Sn, the 2-fluoro-5-nitro-benzoate quenching group of PSP is removed, resulting in the release of a near-infrared emitting product. PSP is selective for H2Sn over a panel of reactive oxygen species (ROS), reactive nitrogen species (RNS), metal ions, and sulfur-containing ions. It has been used to detect H2Sn in live cells and tumor spheroids in vitro.
1.Di, X., Ge, C., Liu, Y., et al.Monitoring hydrogen polysulfide during ferroptosis with a two-photon fluorescent probeTalanta232122467(2021)
| Cas No. | N/A | SDF | Download SDF |
| Canonical SMILES | O=C(OC1=CC(C=CC(/C=C/C2=C/C(CC(C)(C)C2)=C(C#N)/C#N)=C3)=C3C=C1)C4=C(F)C=CC([N+]([O-])=O)=C4 | ||
| 分子式 | C30H22FN3O4 | 分子量 | 507.5 |
| 溶解度 | DMF: 1 mg/ml,DMSO: insol,Ethanol: insol,PBS (pH 7.2): insol | 储存条件 | -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 | |||
 |
1 mg | 5 mg | 10 mg |
| 1 mM | 1.9704 mL | 9.8522 mL | 19.7044 mL |
| 5 mM | 0.3941 mL | 1.9704 mL | 3.9409 mL |
| 10 mM | 0.197 mL | 0.9852 mL | 1.9704 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。
Application of ggplot2 to Pharmacometric Graphics
CPT Pharmacometrics Syst Pharmacol 2013 Oct 16;2(10):e79.PMID:24132163DOI:10.1038/PSP.2013.56.
Visualization is a powerful mechanism for extracting information from data. ggplot2 is a contributed visualization package in the R programming language, which creates publication-quality statistical graphics in an efficient, elegant, and systematic manner. This article summarizes key features of the package with examples from pharmacometrics and pointers to available resources for learning ggplot2.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e79; doi:10.1038/PSP.2013.56; advance online publication 16 October 2013.
Pharmacometrics and Systems Pharmacology Software Tutorials and Use: Comments and Guidelines for PSP Contributions
CPT Pharmacometrics Syst Pharmacol 2013 Dec 18;2(12):e86.PMID:24352522DOI:10.1038/PSP.2013.60.
In addition to methodological Tutorials,(1) CPT:PSP has recently started to publish software Tutorials.(2,3) Our readership and authors may be wondering what kind of format or product is expected, and the review of submissions we have already received prompted several discussions within the PSP Editorial Team. This editorial reflects on these discussions and summarizes their salient points. It aims at providing some details about the current vision of CPT:PSP for software tutorial articles. In addition, it brings some clarity on the topic of what role commercial software tutorials can have in CPT:PSP and how CPT:PSP tutorials differ from publications which describe the software itself, as those which can be found in other computer science journals. Finally, the discussion includes reproducibility considerations and the general use of commercial and noncommercial software in CPT:PSP publications. We hope our thoughts, and especially a stated requirement to publish user input to the software to aid in reproducibility, will help in guiding our authors and will stimulate healthy debate among our readers about the evolving nature of our science, how it can be facilitated using software and associated databases as a conduit, and what role this journal can play in fostering both the best modeling and simulation practices and the best scientific approaches to computational modeling, to bring the advantages of modeling and simulation to all regular practitioners, and not to just a (self) selected few.