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Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

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Figshare2022-10-21 更新2026-04-08 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Computational_quantification_and_characterization_of_independently_evolving_cellular_subpopulations_within_tumors_is_critical_to_inhibit_anti-cancer_therapy_resistance/21376354/1
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Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

补充文件4。该文件为4T1系统中放射治疗(RT)后6天的体内实验数据文件。所收录数据涵盖经荧光激活细胞分选术(Fluorescence-Activated Cell Sorting, FACS)检测得到的单细胞蛋白质表达水平、λα(cell)值、G(Giα)值,以及整体细胞群体中亚群所占的百分比。
提供机构:
Flashner-Abramson, Efrat; Granot, Zvi; Meirovitz, Amichay; Feldman, Jon; Rubinstein, Ariel M.; Chowdhury, Sangita Roy; Oguche, Solomon; Granit, Avital; Vasudevan, Swetha; Sheva, Kim; Cohen, Noa E.; Kravchenko-Balasha, Nataly; Stefansky, Shira; Peretz-Yablonsky, Tamar; Ben-Porath, Ittai; Alkhatib, Heba
创建时间:
2022-10-21
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