library(ggplot2)
library(pheatmap)
library(RColorBrewer)
library(tidyverse)
library(ggpubr)
library(ggsignif)
library(openxlsx)
library(viridis)
library(jcolors)
library(stringr)
setwd("//atlas.uni.lux/users/isabel.rosety/GBA/GCase activity/Plots")
Warning: The working directory was changed to //atlas.uni.lux/users/isabel.rosety/GBA/GCase activity/Plots inside a notebook chunk. The working directory will be reset when the chunk is finished running. Use the knitr root.dir option in the setup chunk to change the working directory for notebook chunks.
data  <- read_excel("//atlas.uni.lux/LCSB_Cellular_Biology/16-Our Papers/In Preparation/GBA hMO_Isabel/Figures/Fig1/Partials/B//Quantification/20210910_GCase activity results.xlsx",sheet=3)
dataNBarPlot<-dataN%>%
  group_by(CellLine)%>%
  summarise(Mean = mean(Gcase_activity), sd_rating = sd(Gcase_activity))
Error in group_by(., CellLine) : object 'dataN' not found

Violin Plots


dataN%>%
  ggplot(aes(x = Condition, y=Gcase_activity),ordered=TRUE)+
  #geom_violin( aes(fill=Condition),show.legend = T, trim=T),
  geom_violin( aes(fill=Condition),show.legend = T,scale = "width", trim=F)+
  geom_dotplot(binaxis = "y",stackdir = "center",dotsize=0.8)+
  #scale_fill_manual(values= c("#bdd7e7","#2171b5"),name = "Condition", guide = FALSE)+
    scale_fill_manual(values= alpha(c("#1565C0","#CC0000"),0.75),name = "Condition",guide = "none")+
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              margin_top=0.5,vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "Condition",
      title = "GCase activity") +
  theme_bw() +
  theme(
   axis.line = element_line(colour = 'black', size = 0.5) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=16, color="black"),
    axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size=10, color="black"),
    axis.ticks.y = element_line(),
    axis.ticks.length=unit(.20, "cm"),
    #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p
  #t<- cowplot::ggdraw(cowplot::add_sub(p, "Wilcox-test, ***p=0.001, **p=0.01, *p=0.05",hjust=-0.2, size=13))
  print(p)
  ##ggsave(paste0(Sys.Date(),"_", names[i], ".pdf"), plot=t)


ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=2.5,width=3)

Cell Lines


dataN%>%
  ggplot(aes(x = Condition, y=Gcase_activity),ordered=TRUE)+
    geom_boxplot(aes(fill=Condition),show.legend = FALSE,width=0.7)+
        #scale_fill_manual(values=c("#2171b5","#B22222","#008B8B"))+  #blue and red
  

scale_fill_manual(values= c("#FFFFFF","#999999"),name = "Condition", guide = "none")+ #guide false will remove the legend for the condition
  #ylim(4,9)+
    #geom_boxplot(width=0.07, fill="white") + 
    geom_point(aes(color=CellLine),size=3,show.legend = T,alpha = 0.5)+
    #scale_color_manual(values = rev(brewer.pal(n=6, name="OrRd")))+
    scale_color_jcolors("pal7")+
    #scale_color_viridis(option = "D", discrete=TRUE)+
    #geom_point(shape = 1,size = 3,colour = "black")+
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "Condition",
      title = "GCase activity") +
  theme_bw() +
  theme(
    axis.line = element_line(colour = 'black', size = 1) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=21, color="black"),
    axis.title.y = element_text(size = 21),
    axis.text.y = element_text(size=15, color="black"),
    axis.ticks.y = element_line(),
    axis.ticks.length=unit(.25, "cm"),
     #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p

  print(p)


#ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=4)

Bar Plots for all the features one timepoint


dataNBarPlot%>%
  ggplot(aes(x=factor(CellLine, level = c("CTRL1", "CTRL2","CTRL3", "PD1", "PD2","PD3")), y=MeanGCase),ordered=TRUE)+
  #geom_violin( aes(fill=Condition),show.legend = T, trim=T),
  geom_bar(aes(fill=CellLine),stat="summary",position=position_dodge(),colour="black",size=0.3,width=0.8) +
  scale_y_continuous(expand = c(0, 0))+
    scale_fill_manual(values= c("#1565C0", alpha(("#1565C0"),0.7),alpha(("#1565C0"),0.4),"#CC0000", alpha(("#CC0000"),0.5),alpha(("#CC0000"),0.2)),name = "CellLine",guide = "none")+
  geom_errorbar(aes(ymin=MeanGCase, ymax=MeanGCase+sd_rating),width=.2,position=position_dodge(.9), size=0.3)+        # Width of the error bars
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              margin_top=0.5,vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "",
      title = "") +
  theme_bw() +
  theme(
   axis.line = element_line(colour = 'black', size = 0.3) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=7, color="black"),
    axis.title.y = element_text(size = 10),
    axis.text.y = element_text(size=7, color="black"),
    axis.ticks.y = element_line(size=0.3),
    axis.ticks.x = element_line(size=0.3),
    axis.ticks.length=unit(.1, "cm"),
    #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p
  #t<- cowplot::ggdraw(cowplot::add_sub(p, "Wilcox-test, ***p=0.001, **p=0.01, *p=0.05",hjust=-0.2, size=13))
  print(p)
  ##ggsave(paste0(Sys.Date(),"_", names[i], ".pdf"), plot=t)


ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=2.5,width=3)

---
title: "R Notebook"
output: html_notebook
---
---
```{r}
library(ggplot2)
library(pheatmap)
library(RColorBrewer)
library(tidyverse)
library(ggpubr)
library(ggsignif)
library(openxlsx)
library(viridis)
library(jcolors)
library(stringr)
```

```{r}
setwd("//atlas.uni.lux/users/isabel.rosety/GBA/GCase activity/Plots")
data  <- read_excel("//atlas.uni.lux/LCSB_Cellular_Biology/16-Our Papers/In Preparation/GBA hMO_Isabel/Figures/Fig1/Partials/B//Quantification/20210910_GCase activity results.xlsx",sheet=3)

```


```{r}
#Normalize to mean of controls for one feature
dataN <-data %>%
     group_by(Batch, Condition) %>%
     mutate(Gcase_activity=Gcase_activity/mean(data$Gcase_activity[data$Condition=="CTRL"]/100,na.rm = TRUE)) 
dataNBarPlot<-dataN%>%
  group_by(CellLine)%>%
  summarise(MeanGCase = mean(Gcase_activity), sd_rating = sd(Gcase_activity))
#write.csv(dataN, file = 'Data as Percentage of controls.csv')

dataNBarPlot %>% 
   mutate(CellLine = str_replace_all(CellLine, 
            pattern = "WT_56", replacement = "CTRL1")) %>%
    mutate(CellLine = str_replace_all(CellLine, 
            pattern = "WT_39", replacement = "CTRL2"))  %>%
    mutate(CellLine = str_replace_all(CellLine, 
            pattern = "WT_68", replacement = "CTRL3")) %>%
    mutate(CellLine = str_replace_all(CellLine, 
            pattern = "Mut_309", replacement = "PD1")) %>%
    mutate(CellLine= str_replace_all(CellLine, 
            pattern = "Mut_KTI6", replacement = "PD2")) %>%
    mutate(CellLine = str_replace_all(CellLine, 
            pattern = "Mut_SGO1", replacement = "PD3")) ->dataNBarPlot

dataN<-as.data.frame(dataN)

```

Violin Plots
```{r}

dataN%>%
  ggplot(aes(x = Condition, y=Gcase_activity),ordered=TRUE)+
  #geom_violin( aes(fill=Condition),show.legend = T, trim=T),
  geom_violin( aes(fill=Condition),show.legend = T,scale = "width", trim=F)+
  geom_dotplot(binaxis = "y",stackdir = "center",dotsize=0.8)+
  #scale_fill_manual(values= c("#bdd7e7","#2171b5"),name = "Condition", guide = FALSE)+
    scale_fill_manual(values= alpha(c("#1565C0","#CC0000"),0.75),name = "Condition",guide = "none")+
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              margin_top=0.5,vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "Condition",
      title = "GCase activity") +
  theme_bw() +
  theme(
   axis.line = element_line(colour = 'black', size = 0.5) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=16, color="black"),
    axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size=10, color="black"),
    axis.ticks.y = element_line(),
    axis.ticks.length=unit(.20, "cm"),
    #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p
  #t<- cowplot::ggdraw(cowplot::add_sub(p, "Wilcox-test, ***p=0.001, **p=0.01, *p=0.05",hjust=-0.2, size=13))
  print(p)
  ##ggsave(paste0(Sys.Date(),"_", names[i], ".pdf"), plot=t)


ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=2.5,width=3)

```
Cell Lines
```{r}

dataN%>%
  ggplot(aes(x = Condition, y=Gcase_activity),ordered=TRUE)+
    geom_boxplot(aes(fill=Condition),show.legend = FALSE,width=0.7)+
        #scale_fill_manual(values=c("#2171b5","#B22222","#008B8B"))+  #blue and red
  

scale_fill_manual(values= c("#FFFFFF","#999999"),name = "Condition", guide = "none")+ #guide false will remove the legend for the condition
  #ylim(4,9)+
    #geom_boxplot(width=0.07, fill="white") + 
    geom_point(aes(color=CellLine),size=3,show.legend = T,alpha = 0.5)+
    #scale_color_manual(values = rev(brewer.pal(n=6, name="OrRd")))+
    scale_color_jcolors("pal7")+
    #scale_color_viridis(option = "D", discrete=TRUE)+
    #geom_point(shape = 1,size = 3,colour = "black")+
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "Condition",
      title = "GCase activity") +
  theme_bw() +
  theme(
    axis.line = element_line(colour = 'black', size = 1) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=21, color="black"),
    axis.title.y = element_text(size = 21),
    axis.text.y = element_text(size=15, color="black"),
    axis.ticks.y = element_line(),
    axis.ticks.length=unit(.25, "cm"),
     #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p

  print(p)

#ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=4)

```

Bar Plots for all the features one timepoint
```{r}

dataNBarPlot%>%
  ggplot(aes(x=factor(CellLine, level = c("CTRL1", "CTRL2","CTRL3", "PD1", "PD2","PD3")), y=MeanGCase),ordered=TRUE)+
  #geom_violin( aes(fill=Condition),show.legend = T, trim=T),
  geom_bar(aes(fill=CellLine),stat="summary",position=position_dodge(),colour="black",size=0.3,width=0.8) +
  scale_y_continuous(expand = c(0, 0))+
    scale_fill_manual(values= c("#1565C0", alpha(("#1565C0"),0.7),alpha(("#1565C0"),0.4),"#CC0000", alpha(("#CC0000"),0.5),alpha(("#CC0000"),0.2)),name = "CellLine",guide = "none")+
  geom_errorbar(aes(ymin=MeanGCase, ymax=MeanGCase+sd_rating),width=.2,position=position_dodge(.9), size=0.3)+        # Width of the error bars
    theme(legend.key=element_blank()) +
    
  geom_signif(comparisons = list(c("CTRL", "GBA-PD")), test='wilcox.test',
              margin_top=0.5,vjust=0.5, size=0.5, textsize=9, map_signif_level=c("***"=0.001, "**"=0.01, "*"=0.05,  " "=2) ) +
  #facet_grid(~fct_relevel(Day, "d30","d60"), scales="free") +
       labs(x     ="",
        y     = "Relative GCase activity",
       fill  = "",
      title = "") +
  theme_bw() +
  theme(
   axis.line = element_line(colour = 'black', size = 0.3) ,
    axis.title.x = element_blank(),
    axis.text.x = element_text(size=7, color="black"),
    axis.title.y = element_text(size = 10),
    axis.text.y = element_text(size=7, color="black"),
    axis.ticks.y = element_line(size=0.3),
    axis.ticks.x = element_line(size=0.3),
    axis.ticks.length=unit(.1, "cm"),
    #change legend text font size)
    #legend.key.size = unit(0.7, "cm"),
    #legend.key.width = unit(0.6,"cm"),
    legend.key=element_blank(),
    panel.grid.major = element_blank(), 
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    plot.title = element_text(size = 20, hjust=0.5, vjust= 1, face = "bold"),
    plot.subtitle = element_blank(),#element_text(size = 2, hjust=0.5)
    strip.text = element_text(size=12, vjust=0.5),
    strip.background = element_rect(fill="lightgray"),
   # panel.border = element_rect(fill = NA, color = "black"),
    panel.spacing.y = unit(0.8, "lines"),
    strip.switch.pad.wrap=unit(20, "lines"),
    legend.position="right",
    legend.text = element_text(size=17),
    legend.title = element_text(size=19)
    
  )  -> p
  #t<- cowplot::ggdraw(cowplot::add_sub(p, "Wilcox-test, ***p=0.001, **p=0.01, *p=0.05",hjust=-0.2, size=13))
  print(p)
  ##ggsave(paste0(Sys.Date(),"_", names[i], ".pdf"), plot=t)


ggsave(paste0(Sys.Date()," GCase activity DIV30.pdf"),height=2.5,width=3)

```
