Impact of paclitaxel treatment on the Triple Negative Breast Cancer Cell line HCC1143
收藏Mendeley Data2024-06-11 更新2024-06-28 收录
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Data and code related to Zenodo repository: 10.5281/zenodo.11237850 Experimental goal: Evaluate the impact of escalating paclitaxel dose on cell count, nuclear morphology and cellular outcome. Methods: Cells were plated at 3000 cells in 100ul of complete media per well in a 96 well plate (#08-772-225, FisherScientific). After 24 hours, an additional 100ul of either vehicle (0.1% DMSO) or paclitaxel containing complete media was added. After 72 hours cells were fixed with 4% Formaldehyde (#28908, ThermoFisher Scientific) for 15 minutes at room temperature, then permeabilized with 0.3% Triton X-100 (#X100-100ML, Sigma Aldrich) for 10 minutes at room temperature, then washed twice with PBS. Fixed cells were blocked with 1% BSA (A7906-100G, Millipore Sigma) in PBS for 1 hour at room temperature and then stained overnight with 1:100 anti-CDKN2A/p16INK4A+CDKN2B/p15INK4B-AF644 (#ab199756, Abcam), and 1:100 anti-cPARP-AF647 (#6987S, Cell Signaling Technology) or 1:500 anti-TUBB3-AF647 (#ab190575, Abcam) overnight at 4C. Each well was washed twice with room temp PBS then stained with 0.5ug/mL DAPI (4083S, Cell Signaling Technology) in PBS for 15 minutes at room temperature. Following DAPI staining, wells were washed once with PBS, then stained with 1:20,000 HCS CellMask in PBS (Orange: #H32713, Green: #H32714, Invitrogen) for 15 minutes at room temperature. Wells were washed twice with room temperature PBS and then 4 fields of view per well imaged on an InCell 6000 (GE Healthcare). Images were segmented with two custom Cellpose models to segment the nucleus (using parameters: diameter = 45, chan = DAPI, chan2 = Cellmask Orange) and cytoplasm (using parameters: diameter = 90, chan = Cellmask Orange, chan2 = DAPI). Image quantification was performed in R (v4.3.1) using EBImage (v4.42.0), and cells were annotated based on the number of distinct nuclei segmented within each cytoplasmic mask. Included files: row_#_level_1.zip : 6 zip file containing original images from InCell 6000, one zip per row level_2.csv : Data quantified to the nuclear level (cytoplasmic quantification is duplicates across multiplet nuclei) level_3.csv: Data quantified at the cellular level including number of nuclei and stain intensities for segmented compartments platemap.csv: Description of each well from the stained plate cellpose_modelz.zip: Zip file containing the two CellPose models used for segmentation image_quantification.rmd : R markdown file containing code for extracting and quantifying image intensities using the raw images (level_1) and segmentation masks created from cellpose.
本数据集及代码关联至Zenodo仓储库:10.5281/zenodo.11237850。
实验目标:评估紫杉醇(paclitaxel)剂量递增对细胞计数、细胞核形态及细胞结局的影响。
实验方法:将3000个细胞以每孔100μL完全培养基的体积接种于96孔板(货号08-772-225,FisherScientific)。24小时后,向每孔补加100μL含0.1%二甲基亚砜(DMSO)的溶剂对照培养基,或含不同剂量紫杉醇的完全培养基。培养72小时后,使用4%甲醛(货号28908,ThermoFisher Scientific)室温固定细胞15分钟,随后用0.3%曲拉通X-100(Triton X-100,货号X100-100ML,Sigma Aldrich)室温通透10分钟,再用磷酸盐缓冲液(PBS)洗涤两次。固定后的细胞用1%牛血清白蛋白(BSA,货号A7906-100G,Millipore Sigma)于室温封闭1小时,随后于4℃过夜孵育一抗:1:100稀释的抗-CDKN2A/p16INK4A+CDKN2B/p15INK4B-AF644抗体(货号ab199756,Abcam)、1:100稀释的抗-cPARP-AF647抗体(货号6987S,Cell Signaling Technology),或1:500稀释的抗-TUBB3-AF647抗体(货号ab190575,Abcam)。每孔用室温PBS洗涤两次后,使用0.5μg/mL 4',6-二脒基-2-苯基吲哚(DAPI,货号4083S,Cell Signaling Technology)的PBS溶液室温染色15分钟。DAPI染色完成后,每孔用PBS洗涤一次,随后使用1:20000稀释的HCS CellMask荧光染料(橙色:货号H32713,绿色:货号H32714,Invitrogen)的PBS溶液室温染色15分钟。每孔再用室温PBS洗涤两次,随后在InCell 6000成像系统(GE Healthcare)下对每孔拍摄4个视野。
图像采用两款自定义Cellpose模型(Cellpose)进行分割:细胞核分割参数为直径=45,通道=DAPI,通道2=Cellmask Orange;细胞质分割参数为直径=90,通道=Cellmask Orange,通道2=DAPI。图像量化工作在R语言(v4.3.1)环境中完成,使用EBImage包(v4.42.0,EBImage),并根据每个细胞质掩码内分割得到的独立细胞核数量对细胞进行注释。
本数据集包含以下文件:
1. row_#_level_1.zip:共6个压缩包,包含InCell 6000采集的原始图像,每一行对应一个压缩包
2. level_2.csv:核水平量化数据(细胞质量化结果因多核细胞存在存在重复)
3. level_3.csv:细胞水平量化数据,包含细胞核数量及各分割区域的染色强度信息
4. platemap.csv:染色板各孔的实验信息说明
5. cellpose_modelz.zip:包含本次实验所用两款Cellpose分割模型的压缩包
6. image_quantification.rmd:R Markdown文件,包含从原始图像(level_1)及Cellpose生成的分割掩码中提取并量化图像强度的代码
创建时间:
2024-06-06



