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znTUm*<$rf`tJY`gpHKKneq*x&2#yWjJCzi&RD;u+dNBev{S8;}m$Hb!SC>9>55$j-0xhBC?`8 zQz_S8$D$385em^L>G;~i3Y($n=%yJ*Se}SlkCvs2o@>jFX<%({qEAH+Nf$f#Q=xqP z>vHuG*=ro*f%bRDoVN8>)f=xva`zp&-(%FJf^@^xG+9>rkEHfFI(drOm6-3>O*U5X z1COu^yAdNIX{UrVply=L$Rrj)k`tRHHL4T`qACy4@4=H$4sN?(i$<)7!IwHok*t#T z%o6i{O1I7M4XSDxB`NhOT(&BA87+0!E`Tu@=4P?{R?_D^9lJd@J?*zWQS^Y6f*&o? zVZPNVVjDTB&AF^42+ji)U`l?~D~|Qi+>=iT$7Mwmsx- z?R?zdlRd2cX7zJ7rMOay1>KB1F)w|yS)_ru*QX`3CNzpq-zI5e^j#-nhQLF@d~p|v z)BHN$9>589pAEHJl3DWmI&T;g{Q_4T5c=8cy=`I&W-&@>WdeDE=L{A5O$ym(O_3h< zcvlqR08w#RSWwoSKQ+mo)9h>ehgf3?g%?3F6@!|+LJ^XtGj}^xxtMs{6WCu zlM1sR6Pt8}!kTAgc5qv~Mp2f8yMP&?I>flSN)%z&V{5W#KU{8VL$aU&#TOS9J(LUyQ40?a@M$OEprsn2gZMqCaUxWT17Rh_y&C3M77S6 zhF*GYP^+Xh&s;Hp(vyWzo~x*Rz$IKp8o>9?z24RI%{Nn8;6&Jp=LW!qi!;nrTMGjS zw?GD9-C?sEyK^OON3R)O_th_(z^ z$Q1qmP2?r$ifI8j<-hO0&F$q0O4!{k$X8HEf*mN>(V~x|Nuc0%EEqyXew&z2lhMUKHGui1gmQbFVoT1nH1)G6h$aK= 380 & wavelength < 675) , + subset(ex, sample %in% unique(ex$sample)[c(3, 4)] & wavelength >= 450 & wavelength < 675) ) + + + +ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]<-ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]/max(ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]) + +ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]<-ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]/max(ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]) + +par(yaxs='i', xaxs='i') +plot(ex$wavelength, ex$absorbance, type='n', ylab='Absorbance (AU)', xlab = 'Wavelength', las=1, xlim=c(380, 700), ylim=c(0,1), axes=F) + +color <- c('green3', 'green4', 'red', 'red4') +unique_samples <- unique(ex$sample) +# Loop through each unique sample and create a polygon plot +for (sample_name in unique_samples) { + # Subset the data for the current sample + sample_data <- ex[ex$sample == sample_name, ] + + # Create a polygon plot for the current sample + polygon(c(sample_data$wavelength, + sample_data$wavelength[nrow(sample_data)], + sample_data$wavelength[1], + sample_data$wavelength[1]), + + c(sample_data$absorbance, 0, 0, sample_data$absorbance[1]), + col = color[match(sample_name, unique_samples)], + border = "black") + + # Add a legend for sample names + legend("topright", legend = unique_samples, fill = color) +} +``` + +![](supplementary_fig02_files/figure-commonmark/unnamed-chunk-29-1.png) + +Change colors and make a figure with correct dimensions to fit in the +larger figure layout: + +``` r +col2hex <- function(cname) + { + colMat <- col2rgb(cname) + rgb( + red=colMat[1,]/255, + green=colMat[2,]/255, + blue=colMat[3,]/255 + ) +} + +quartz(width= 16, height=4.8) +par(yaxs='i', xaxs='i') +plot(ex$wavelength, ex$absorbance, type='n', ylab='Absorbance (AU)', xlab = 'Wavelength (nm)', las=1, xlim=c(380, 700), ylim=c(0,1), axes=F) + +color <- c('green3', 'green4', 'red', 'red4') +unique_samples <- unique(ex$sample) + +peak.max <- numeric() +# Loop through each unique sample and create a polygon plot +for (sample_name in unique_samples) { + # Subset the data for the current sample + sample_data <- ex[ex$sample == sample_name, ] + + # Create a polygon plot for the current sample + polygon(c(sample_data$wavelength, + sample_data$wavelength[nrow(sample_data)], + sample_data$wavelength[1], + sample_data$wavelength[1]), + + c(sample_data$absorbance, 0, 0, sample_data$absorbance[1]), + col = paste0( col2hex( color[match(sample_name, unique_samples)] ), '70' ), + border = color[match(sample_name, unique_samples)], lwd=2, xpd=TRUE ) + + # Add a legend for sample names + legend("topright", legend = unique_samples, fill = color) + + peak.max <- c(peak.max, sample_data$wavelength[which.max(sample_data$absorbance)] ) +} +axis(1) +axis(2, las=1, at=c(0,0.5,1)) +``` + +![](supplementary_fig02_files/figure-commonmark/unnamed-chunk-30-1.png) + +``` r +quartz.save(file="pdf/S02b_excitation.pdf", type='pdf') +``` + + quartz_off_screen + 2 diff --git a/supplementary_fig02.qmd b/supplementary_fig02.qmd index d11d11f..f45fa85 100644 --- a/supplementary_fig02.qmd +++ b/supplementary_fig02.qmd @@ -373,17 +373,24 @@ quartz.save(file='./pdf/S02c.pdf', type='pdf') # Bargraph of TFP-ester labeling gels ```{r} -gel <- read.table('./data/gels/csv/2023-09-07_chickenAlexa488.csv', header = TRUE, sep = ',') +gel <- read.table('./data/gels/csv/2023-09-08_GoatAlexa488.csv', header = TRUE, sep = ',') refDOL <- 5 #ThermoFisher A21200 gel$norm <- (gel$Mean/gel$Mean[1])*refDOL +gel$norm[5:8] <- (gel$Mean[5:8]/gel$Mean[5])*refDOL + +#add a character to the name to get alphabetical ordering of the groups we want in the plot +gel$sample <- rep( c('A Goat-Alexa488', 'B 1:3', 'C 1:9', 'D 1:15') , 2) + +avg<-tapply(gel$norm, gel$sample, mean) + quartz(width=3.6, height=6.1) par(mar=c(6,4,1,0)) -bar <- barplot(gel$norm, ylab='Degree of Labeling (DOL)', las=1, xaxt="n") -labs <- c('Chicken-Alexa488', '1:3', '1:9', '1:15') +bar <- barplot(avg, ylab='Degree of Labeling (DOL)', las=1, xaxt="n") +labs <- c('Goat-Alexa488', '1:3', '1:9', '1:15') text(cex=1, x=c(bar[1]-.55, bar[-1]), y=c(-0.8,rep(-0.4,3)), labs, xpd=TRUE, srt=45) text(mean(bar[-1]), -1.1, 'Goat-PEG4-TCO\nAZdye488-bis(PEG2-Tz)', xpd=TRUE) lines(c(bar[2]-.25, bar[4]+.25), rep(-0.75, 2), xpd = TRUE) @@ -397,3 +404,100 @@ quartz.save(file='./pdf/S02f.pdf', type='pdf') # Absorption spectrum +The output from the spectrophotometer is a CSV file. +Values are read in as character strings so we have to recast to numeric. +Data starts from column 26 and each row is a sample. +```{r} +spec <- read.table('data/spectra/absorption.csv', sep=',', header=TRUE) + +ex <- data.frame(sample = character(), wavelength = integer(), absorbance = numeric()) + +for(i in 1:nrow(spec)){ + ex.tmp <- data.frame(sample = spec$Sample.Name[i], wavelength = as.integer( substr(names(spec[,26:ncol(spec)]), 2,4) ), absorbance = as.numeric(spec[i,26:ncol(spec)]) ) + + ex <-rbind(ex, ex.tmp) +} + + + +# Subset the data frame and remove rows with wavelength under 450 +ex <- rbind(subset(ex, sample %in% unique(ex$sample)[c(1, 2)] & wavelength >= 380 & wavelength < 675) , + subset(ex, sample %in% unique(ex$sample)[c(3, 4)] & wavelength >= 450 & wavelength < 675) ) + + + +ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]<-ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]/max(ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(1,2)])]) + +ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]<-ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]/max(ex$absorbance[ex$sample %in% c(unique(ex$sample)[c(3,4)])]) + +par(yaxs='i', xaxs='i') +plot(ex$wavelength, ex$absorbance, type='n', ylab='Absorbance (AU)', xlab = 'Wavelength', las=1, xlim=c(380, 700), ylim=c(0,1), axes=F) + +color <- c('green3', 'green4', 'red', 'red4') +unique_samples <- unique(ex$sample) +# Loop through each unique sample and create a polygon plot +for (sample_name in unique_samples) { + # Subset the data for the current sample + sample_data <- ex[ex$sample == sample_name, ] + + # Create a polygon plot for the current sample + polygon(c(sample_data$wavelength, + sample_data$wavelength[nrow(sample_data)], + sample_data$wavelength[1], + sample_data$wavelength[1]), + + c(sample_data$absorbance, 0, 0, sample_data$absorbance[1]), + col = color[match(sample_name, unique_samples)], + border = "black") + + # Add a legend for sample names + legend("topright", legend = unique_samples, fill = color) +} +``` + +Change colors and make a figure with correct dimensions to fit in the larger figure layout: + +```{r} +col2hex <- function(cname) + { + colMat <- col2rgb(cname) + rgb( + red=colMat[1,]/255, + green=colMat[2,]/255, + blue=colMat[3,]/255 + ) +} + +quartz(width= 16, height=4.8) +par(yaxs='i', xaxs='i') +plot(ex$wavelength, ex$absorbance, type='n', ylab='Absorbance (AU)', xlab = 'Wavelength (nm)', las=1, xlim=c(380, 700), ylim=c(0,1), axes=F) + +color <- c('green3', 'green4', 'red', 'red4') +unique_samples <- unique(ex$sample) + +peak.max <- numeric() +# Loop through each unique sample and create a polygon plot +for (sample_name in unique_samples) { + # Subset the data for the current sample + sample_data <- ex[ex$sample == sample_name, ] + + # Create a polygon plot for the current sample + polygon(c(sample_data$wavelength, + sample_data$wavelength[nrow(sample_data)], + sample_data$wavelength[1], + sample_data$wavelength[1]), + + c(sample_data$absorbance, 0, 0, sample_data$absorbance[1]), + col = paste0( col2hex( color[match(sample_name, unique_samples)] ), '70' ), + border = color[match(sample_name, unique_samples)], lwd=2, xpd=TRUE ) + + # Add a legend for sample names + legend("topright", legend = unique_samples, fill = color) + + peak.max <- c(peak.max, sample_data$wavelength[which.max(sample_data$absorbance)] ) +} +axis(1) +axis(2, las=1, at=c(0,0.5,1)) + +quartz.save(file="pdf/S02b_excitation.pdf", type='pdf') +``` diff --git a/supplementary_fig02_files/figure-commonmark/unnamed-chunk-27-1.png 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