Journal Guide

The Journal of Biological Chemistry publishes papers based on original research that are judged to make a novel and important contribution to understanding the molecular and cellular basis of biological processes.

The Journal of Lipid Research (JLR) focuses on the science of lipids in health and disease. The Journal emphasizes lipid function and the biochemical and genetic regulation of lipid metabolism. In addition, JLR publishes manuscripts on patient-oriented and epidemiological research relating to altered lipid metabolism, including modification of dietary lipids. The JLR aims to be on the forefront of the emerging areas of genomics, proteomics, and lipidomics as they relate to lipid metabolism and function.The JLR covers biochemistry, cell biology, molecular biology, structural biology, genetics, genomics, immunology, metabolism, nutrition and clinical science as they relate to lipids.

The accelerating determination of genome sequences and their interpretation (genomics) has brought with it one of the most daunting challenges to modern bioscience--the concomitant determination of the structure, function, and expression of the corresponding proteins encoded therein. The magnitude of this task is staggering. The difficulties arise at many stages, ranging from protein isolation and identification to structure determination, protein/protein interactions and gene expression, and the answers will require both existing technologies and methods yet to be developed. Thus, this rapidly expanding field of proteomics, a term coined in evident parallel to genomics, is both an extension of traditional biochemistry and at the same time a new and exciting field. Moreover, the magnitude of this effort will produce volumes of data that will dwarf previous outputs and pose severe problems in their own right. The storage, analysis and manipulation of this information, a problem already realized from genomic studies, has spawned a related field generally called bioinformatics. It is likely that these data sets will drive discovery and research that is unparalleled in the history of bioscience and could eclipse, at least in the early stages, hypothesis-driven experimentation. The management of research databases is not a new phenomenon, but the size of the task will require new and innovative approaches.