JOURNAL OF CELLULAR BIOCHEMISTRY
Scope & Guideline
Fostering Excellence in Cellular Biochemistry Research
Introduction
Aims and Scopes
- Cellular Signaling Mechanisms:
Research on the pathways and networks that mediate cellular responses to external stimuli, including growth factors, hormones, and stress signals. - Metabolic Regulation:
Studies exploring the biochemical pathways involved in metabolism, energy production, and the role of metabolic dysregulation in diseases such as cancer and diabetes. - Cancer Biology:
Investigations into the molecular mechanisms underpinning cancer development, progression, and metastasis, including the roles of specific genes, proteins, and non-coding RNAs. - Stem Cell Biology and Regenerative Medicine:
Research focusing on the properties of stem cells, their differentiation, and their potential applications in regenerative therapies. - Molecular Pharmacology and Drug Development:
Studies aimed at understanding drug actions at the molecular level, including the development of novel therapeutics targeting specific pathways. - Role of Non-coding RNAs:
Exploration of the functions of various non-coding RNAs, including microRNAs and long non-coding RNAs, in regulating gene expression and cellular processes. - Oxidative Stress and Cell Death:
Research on the biochemical and molecular mechanisms of oxidative stress, apoptosis, and other forms of cell death in various pathological conditions. - Biochemical Techniques and Innovations:
Development and application of novel biochemical techniques, including molecular modeling and high-throughput screening, for studying cellular processes.
Trending and Emerging
- Integrative Omics Approaches:
There is a growing trend toward using multi-omics approaches (genomics, proteomics, metabolomics) to understand complex biological systems and disease states. - Targeted Therapies and Personalized Medicine:
Research focusing on the development of targeted therapies based on individual genetic and molecular profiles is gaining momentum, reflecting broader trends in precision medicine. - Microbiome-Cell Interactions:
Emerging studies are increasingly investigating the interactions between cellular biochemistry and the microbiome, highlighting its role in health and disease. - Cellular Metabolism and Cancer,:
A heightened focus on how metabolic pathways in cancer cells differ from normal cells, and how these differences can be exploited for therapeutic purposes. - Artificial Intelligence in Drug Discovery:
The integration of AI and machine learning techniques into biochemical research for drug discovery and predictive modeling is rapidly expanding. - Regenerative Medicine and Tissue Engineering:
Research in regenerative medicine, including stem cell therapies and tissue engineering, is gaining significant attention for its potential in treating various diseases. - Extracellular Vesicles and Intercellular Communication:
There is increasing interest in the role of extracellular vesicles in intercellular communication and their potential as biomarkers or therapeutic targets.
Declining or Waning
- Basic Biochemical Pathways:
Research that primarily focuses on well-established biochemical pathways has decreased, as the field increasingly emphasizes innovative approaches and complex interactions. - Single Pathway Studies:
Studies that investigate single signaling pathways in isolation are becoming less common, as the trend shifts towards understanding network dynamics and interactions. - Descriptive Studies of Cellular Processes:
There is a decline in purely descriptive studies that do not provide mechanistic insights, with a growing preference for research that elucidates underlying mechanisms. - In Vitro Models:
The reliance on traditional in vitro cell culture models is decreasing in favor of more complex models, such as organoids and in vivo systems that better mimic physiological conditions. - Retraction and Correction Frequency:
An increasing number of retractions and corrections in published studies may indicate a trend towards greater scrutiny and higher standards for reproducibility in research.
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