Biochemical Research Methods (BRM)

Section Information

Biochemical Research Methods focus on the tools and techniques used to study the structure, function, interactions, and dynamics of biomolecules in cells, tissues, and model systems. This field supports discovery in biology, medicine, agriculture, and biotechnology by providing reliable ways to measure and manipulate proteins, nucleic acids, metabolites, and other cellular components.

Modern biochemical research combines wet-lab experiments with quantitative analysis and data-driven approaches. Methods range from classic assays and separations to advanced spectroscopy, imaging, mass spectrometry, and high-throughput platforms. Careful design, standardization, and validation of methods are essential for reproducible and comparable results across laboratories and applications.

This section will publish research articles, method papers, and reviews on the development, optimization, comparison, and application of biochemical techniques, including sample preparation, detection and quantification, structural and functional analysis, and integrated workflows that support robust and transparent biochemical research.

Scope

General Biochemical Analysis and Assays
- Quantification of proteins, nucleic acids, lipids, and metabolites
- Colorimetric, fluorometric, and luminescent assays
- Enzyme-linked and immuno-based detection formats
- Method calibration, sensitivity, and dynamic range
Enzymology and Kinetic Methods
- Assays for enzyme activity, inhibition, and activation
- Steady-state and pre-steady-state kinetic analysis
- High-throughput screening of enzyme libraries and inhibitors
- Data fitting, model selection, and kinetic parameter estimation
Protein Separation and Characterization
- Chromatography, electrophoresis, and isoelectric focusing
- Protein purification workflows and tag-based strategies
- Folding, stability, and aggregation analysis
- Interaction studies using biochemical binding assays
Nucleic Acid Methods and Molecular Biology Tools
- DNA and RNA extraction, quantification, and quality control
- PCR, qPCR, digital PCR, and amplification strategies
- Cloning, expression systems, and genome editing workflows
- Hybridization, blotting, and nucleic acid labeling techniques
Mass Spectrometry, Metabolomics, and Lipidomics
- Sample preparation for metabolite and lipid analysis
- Targeted and untargeted profiling workflows
- Quantitative methods, internal standards, and normalization
- Data processing, annotation, and pathway-level interpretation
Spectroscopy, Imaging, and Structural Methods
- UV–Vis, fluorescence, circular dichroism, and related techniques
- Label-based and label-free imaging of biochemical processes
- Biophysical characterization of biomolecular interactions
- Integration with structural approaches such as NMR and scattering
Bioinformatics, Data Analysis, and Workflow Design
- Processing and analysis of biochemical and omics data
- Statistical analysis, error estimation, and visualization
- Reproducible workflows, scripting, and pipeline management
- Data sharing, annotation, and reporting standards
Method Development, Validation, and Quality Control
- Design, optimization, and troubleshooting of new assays
- Validation, robustness, and inter-laboratory comparison
- Controls, reference materials, and standard operating procedures
- Good laboratory practice and documentation in biochemical methods
High-Throughput, Miniaturized, and Integrated Platforms
- Microplate, microfluidic, and lab-on-a-chip systems
- Automation and robotics in biochemical experimentation
- Multiplexed assays and combinatorial workflows
- Integration of biochemical methods with systems-level studies