Suppr超能文献

一种新的临床前三维琼脂糖集落形成试验。

A new preclinical 3-dimensional agarose colony formation assay.

作者信息

Kajiwara Yoshinori, Panchabhai Sonali, Levin Victor A

机构信息

Department of Neuro-Oncology, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77230-1402, USA.

出版信息

Technol Cancer Res Treat. 2008 Aug;7(4):329-34. doi: 10.1177/153303460800700407.

Abstract

The evaluation of new drug treatments and combination treatments for gliomas and other cancers requires a robust means to interrogate wide dose ranges and varying times of drug exposure without stain-inactivation of the cells (colonies). To this end, we developed a 3-dimensional (3D) colony formation assay that makes use of GelCount technology, a new cell colony counter for gels and soft agars. We used U251MG, SNB19, and LNZ308 glioma cell lines and MiaPaCa pancreas adenocarcinoma and SW480 colon adenocarcinoma cell lines. Colonies were grown in a two-tiered agarose that had 0.7% agarose on the bottom and 0.3% agarose on top. We then studied the effects of DFMO, carboplatin, and SAHA over a 3-log dose range and over multiple days of drug exposure. Using GelCount we approximated the area under the curve (AUC) of colony volumes as the sum of colony volumes (microm2xOD) in each plate to calculate IC50 values. Adenocarcinoma colonies were recognized by GelCount scanning at 3-4 days, while it took 6-7 days to detect glioma colonies. The growth rate of MiaPaCa and SW480 cells was rapid, with 100 colonies counted in 5-6 days; glioma cells grew more slowly, with 100 colonies counted in 9-10 days. Reliable log dose versus AUC curves were observed for all drugs studied. In conclusion, the GelCount method that we describe is more quantitative than traditional colony assays and allows precise study of drug effects with respect to both dose and time of exposure using fewer culture plates.

摘要

评估针对胶质瘤和其他癌症的新药治疗及联合治疗方法,需要一种强大的手段来研究广泛的剂量范围和不同的药物暴露时间,同时不会使细胞(集落)因染色而失活。为此,我们开发了一种三维(3D)集落形成试验,该试验利用了GelCount技术,这是一种用于凝胶和软琼脂的新型细胞集落计数器。我们使用了U251MG、SNB19和LNZ308胶质瘤细胞系以及MiaPaCa胰腺腺癌和SW480结肠腺癌细胞系。集落在两层琼脂糖中生长,底部为0.7%的琼脂糖,顶部为0.3%的琼脂糖。然后,我们研究了二氟甲基鸟氨酸(DFMO)、卡铂和辛二酰苯胺异羟肟酸(SAHA)在3个对数剂量范围内以及多天药物暴露情况下的效果。使用GelCount,我们将集落体积的曲线下面积(AUC)近似为每个平板中集落体积(平方微米×光密度)的总和,以计算半数抑制浓度(IC50)值。在3 - 4天时通过GelCount扫描识别腺癌集落,而检测胶质瘤集落则需要6 - 7天。MiaPaCa和SW480细胞的生长速度很快,在5 - 6天内可计数100个集落;胶质瘤细胞生长较慢,在9 - 10天内可计数100个集落。对于所有研究的药物,均观察到了可靠的对数剂量与AUC曲线。总之,我们所描述的GelCount方法比传统的集落试验更具定量性,并且使用更少的培养平板就能精确研究药物在剂量和暴露时间方面的效果。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验