Calzadilla Lisandra, Hernández Erick, Dustet Julio, Fernandez-de-Cossio-Diaz Jorge, León Kalet, Pietzke Matthias, Vazquez Alexei, Mulet Roberto, Boggiano Tammy
Center of Molecular Immunology, Bioprocesses Development Division. 216 Street and 15 Avenue, Atabey, HavanaX, Cuba.
Technological University of Havana José Antonio Echeverría, Chemical Engineering Faculty. 114 Street, No. 11901, Marianao, Havana PO 11600, Cuba.
Data Brief. 2023 Sep 21;50:109604. doi: 10.1016/j.dib.2023.109604. eCollection 2023 Oct.
The data for provide evidences of the multi steady state of the human cell line HEK 293 was obtained from 2 L bioreactor continuous culture. A HEK 293 cell line transfected to produce soluble HER1 receptor was used. The bioreactor was operated at three different dilution rates in sequential manner. Daily samples of culture broth were collected, a total of 85 samples were processed. Viable cell concentration and culture viability was addressing by trypan blue exclusion method using a hemocytometer. Heterologous HER1 supernatant concentration was quantified by a specific ELISA and the metabolites by mass spectrometry coupled to a liquid chromatography. The primary data were collected in excel files, where it was calculated the kinetic and other variables by using mass balance and mathematical principles. It was compared the steady states behavior each other's to find out the existence of steady states' multiplicity, taking into account the stationary phase with respect to the cell density (which means its coefficient of variation is less than 20 %). From the metabolic measurements by using Liquid Chromatography coupled to mass spectrometry (LC-MS), it was also built the data matrix with the specific rates of the 76 metabolites obtained. The data were processed and analyzed, using multivariate data asssnalysis (MVDA) to reduce the complexity and to find the main patterns present in the data. We describe also the full data of the metabolites not only for steady states but also in the time evolution, which could help others in terms of modeling and deep understanding of HEK293 metabolism, especially under different culture conditions.
用于提供人类细胞系HEK 293多稳态证据的数据来自2 L生物反应器连续培养。使用转染以产生可溶性HER1受体的HEK 293细胞系。生物反应器以三种不同的稀释率依次运行。每天收集培养液样本，共处理85个样本。通过使用血细胞计数器的台盼蓝排斥法测定活细胞浓度和培养活力。通过特异性ELISA对异源HER1上清液浓度进行定量，并通过与液相色谱联用的质谱法对代谢产物进行定量。原始数据收集在Excel文件中，在其中通过质量平衡和数学原理计算动力学和其他变量。相互比较稳态行为以找出稳态多重性的存在，同时考虑到相对于细胞密度的稳定期（这意味着其变异系数小于20%）。通过使用液相色谱-质谱联用（LC-MS）进行代谢测量，还构建了包含所获得的76种代谢产物的特定速率的数据矩阵。对数据进行处理和分析，使用多变量数据分析（MVDA）来降低复杂性并找出数据中存在的主要模式。我们还描述了代谢产物的完整数据，不仅包括稳态数据，还包括随时间的演变数据，这在HEK293代谢的建模和深入理解方面，尤其是在不同培养条件下，可能会对其他人有所帮助。
