Data - Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems

Overview

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". 

Info

ANOVA_Turkey_Sub.R <- code for ANOVA analysis in R statistic 3.3.3    
glm.R <- code for GLM analysis in R statistic 3.3.3
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

Annotation

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

Acknowledgements

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).

Consider citing our work. 

1. Work in progress...