The liver is the largest organ in the body, is probably second only to the brain in complexity, and has the main digestive function for the metabolism of most substances. It has a myriad of additional functions beyond digestion, such as the production of red blood cells during embryonic development, the production of various plasma proteins, and the detoxification of xenobiotics; it is also the most effective site for phagocytosis of solid material and the guardian interposed between the digestive tract and the rest of the body. Furthermore the liver is also the source of a major portion of the fatty acids sent to other organs to be used as the primary source of energy in the fasted state and is the major site for synthesis of fatty acids from excess sugar in the fed state. The liver has a central role in activation, catabolism, and excretion of retinols, which play various critical roles in vision, growth, reproduction, cell proliferation, differentiation, and the integrity of the immune system. In addition, the liver plays a major role in determining the pharmacokinetics of a drug because it is the major organ of drug elimination through its metabolic capacity and biliary excretion. Liver diseases, such as viral hepatitis, liver cancer, and alcohol-related and drug-related liver injury, are great challenges for modern medicine.
The transcriptome is an essential source for the research of liver, but it is not enough. In order to describe the liver systematically, HLPP was proposed at the HUPO Workshop (Bethesda, MD, April 28 - 29, 2002). The Scientific Categories and Objectives of HLPP were finally defined as eight subprojects: Sampling and Banking, Expression Profiling, Protein Linkage (Protein-Protein Interaction) Mapping and ORFeome, Modification Profiling, Localization Mapping, Antibody Banking, Bioinformatics, and Liver Diseases.
Here, we will release several experimental datasets and integrated datasets of liver proteome. Non-redundant and all possible identified proteins with annotation could be browsed and queried according to the database ID or protein name, and the detail experimental information could be found to confirm the identified results.