Data - Effect Of Electrolytes As Adjuvants In Gfp And Lps Partitioning On Aqueous Two-Phase Systems: 2. Nonionic Micellar Systems
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<strong>Overview</strong> The production of recombinant biopharmaceuticals is highly dependent of a proper choice of the downstream processing stages. Particularly, the purification that must ensure that all the endotoxins (lipopolysaccharide - LPS) are efficiently removed from the final product. This dataset contains the raw data and statistical analysis for the research entitled - "Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems". <strong>Info</strong> ANOVA_Turkey_Sub.R <- code for ANOVA analysis in R statistic 3.3.3 <br> glm.R <- code for GLM analysis in R statistic 3.3.3<br> K&REC_ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) and recover (REC) for ANOVA analysis K_ORG_ANOVA.docx <- File with ANOVA result of partition coefficient (K) for GFP REC_ORG_ANOVA.docx <- File with ANOVA result of partition coefficient (REC) for GFP REM_LPS_ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of LPS removal for ANOVA analysis REM_LPS_ORG_ANOVA.docx <- File with ANOVA result of removal of LPS Stability__ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of GFP stability for ANOVA analysis Stability__ORG_ANOVA.docx <- File with ANOVA result of GFP stability K_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.05M salt assays K_ORG_glm_005.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.05M salt assays K_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.05M salt assays K_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays K_ORG_glm_025.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays K_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.25M salt assays REC_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.05M salt assays REC_ORG_glm_005.doc <- File with GLM analysis of GFP recover (REC) in 0.05M salt assays REC_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.05M salt assays REC_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.25M salt assays REC_ORG_glm_025.doc <- File with GLM analysis of GFP recover (REC) in 0.25M salt assays REC_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays REM_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.05M salt assays REM_ORG_glm_005.doc <- File with GLM analysis of LPS removal (REM) in 0.05M salt assays REM_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays REM_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.25M salt assays REM_ORG_glm_025.doc <- File with GLM analysis of LPS removal (REM) in 0.25M salt assays REM_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays <strong>Annotation</strong> 12/12 - Concentration of 12% of each polymer PEG/NaPA 16/16 - Concentration of 16% of each polymer PEG/NaPA P/N - PEG/NaPA 10e4, 10e5, 10e6 - Concentration of LPS in scientific notation - 10000, 100000, 100000 EU/mL poly - Polymer salt - Salt concentration in the assay tsalt - Type of salt in the assay (NaCl, KNO3, KI and Li2SO4) lps - lipopolysaccharide K - GFP partition coefficient REM - LPS removal REC - GFP recover wo_salt - Assay without salt addition <strong>Acknowledgements</strong> The authors are grateful for financial support from FAPESP (São Paulo Research Foundation, Brazil) through the following projects: 2005/60159-7; 2007/51978-0; 2014/16424-7; and 2014/19793-3. The authors also acknowledge the support from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil) through the process #0366/09-9 and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil). <strong>Consider citing our work. </strong> 1. Work in progress...
