diff --git a/R/dataProcessPlots.R b/R/dataProcessPlots.R
index 76da2a7e..9a290729 100644
--- a/R/dataProcessPlots.R
+++ b/R/dataProcessPlots.R
@@ -391,7 +391,8 @@ dataProcessPlots = function(
         Protein == all_proteins[i],
         list(PROTEIN = unique(Protein), PEPTIDE = "Run summary",
              TRANSITION = "Run summary", FEATURE = "Run summary",
-             LABEL = raw_label_map[LABEL], RUN = RUN,
+             LABEL = if("LABEL" %in% names(.SD)) raw_label_map[LABEL] else "Endogenous", 
+             RUN = RUN,
              ABUNDANCE = LogIntensities, FRACTION = 1, 
              UPPERBOUND = if("Variance" %in% names(.SD)) LogIntensities + 1.96 * sqrt(Variance) else NA_real_, # 95% confidence interval
              LOWERBOUND = if("Variance" %in% names(.SD)) LogIntensities - 1.96 * sqrt(Variance) else NA_real_
diff --git a/R/utils_dataprocess_plots.R b/R/utils_dataprocess_plots.R
index 5036773a..f3cf7806 100644
--- a/R/utils_dataprocess_plots.R
+++ b/R/utils_dataprocess_plots.R
@@ -157,8 +157,7 @@
     num_features = data.table::uniqueN(input$FEATURE)
     profile_plot = ggplot(data = input, 
                           aes(x = .data$RUN, y = .data$newABUNDANCE, 
-                                     color = .data$analysis, linetype = .data$FEATURE, 
-                                     size = .data$analysis)) +
+                                     color = .data$analysis, linetype = .data$FEATURE)) +
         facet_grid(~LABEL) +
         geom_line(linewidth = 0.5)