By searching the TDP data against a database of human proteoforms using TDPortal and 1% conservative false discovery rate (FDR), a total of 11,466 proteoforms from 740 proteins were identified (Table ). Of these annotations, 8,784 proteoforms and 343 proteins were unique to a single tissue type (Table , Figure ). Lung tissue contained the highest number of proteoforms and proteins (overall and unique) while kidney tissue contained the fewest unique proteoforms (Figure ). Despite having the lowest number of proteins identified, spleen tissue had a high number of proteoforms per protein (Figure ). While histones and hemoglobin generated the highest number or proteoforms per protein in most tissues, several other proteins populated the top fifteen proteins (Figure ). Overall, CZE-MS/MS resulted in a higher number of protein and proteoform identification than RPLC (Figure ). However, the difference in MS instrument performance likely contributed to the increased number of IDs characterized the CZE-MS/MS workflow.