General
The Journal of Steroid Biochemistry and Molecular Biology is devoted to new experimental and theoretical developments in areas related to steroids including vitamin D, lipids and their metabolomics. The Journal publishes a variety of contributions, including original articles, general and focused reviews, and rapid communications (brief articles of particular interest and clear novelty). Selected cutting-edge topics will be addressed in Special Issues managed by Guest Editors. Special Issues will contain both commissioned reviews and original research papers to provide comprehensive coverage of specific topics, and all submissions will undergo rigorous peer-review prior to publication.
Scope
Manuscripts relating to unsolved issues in genetics, molecular biology, biochemistry, structural biology, steroid chemistry, cell biology, molecular medicine, translational research and clinical medicine, are encouraged. Furthermore, the Journal publishes results on functional association studies and 'omics' that are instrumental in our understanding of common complex human diseases.
Specific aims
Studies on steroid signal transduction pathways, functional annotation of genes and kinetics of metabolic pathways
Provision of steroid-related tools, synthesis and analysis methods, and reference data
Creation of enduring and validated resources for metabolomics and systems biology analyses
Enhancement of our understanding, and the development of approaches to study the interplay between the environment, genomes, metabolism and disease
Exclusion criteria for manuscripts
data that have been as a whole or in part published elsewhere (does not apply to data that has been deposited in a data repository or documents that have been posted on a preprint server)
no functional analyses or mechanistic interpretation are provided
case descriptions or clinical descriptions of cohorts without analyses of mechanisms leading to changed phenotypes
observations collected by experiments in a single cell line
reagents that are not validated (e.g. antibodies that are not characterized, origin and identity of cells that are not depicted)
data based on technical replicates rather than biological replicates
use of inappropriate statistical analyses