Submissions
Submission Preparation Checklist
All submissions must meet the following requirements.
- This submission meets the requirements outlined in the Author Guidelines.
- This submission has not been previously published, nor is it before another journal for consideration.
- All references have been checked for accuracy and completeness.
- All tables and figures have been numbered and labeled.
- Permission has been obtained to publish all photos, datasets and other material provided with this submission.
Specifications for Uploading Journal Submission Materials
- Title page (should be uploaded in Word format)
- Manuscript (should be uploaded in Word format. For the revised document, both the clean version and the version with revision marks should be provided)
- Acknowledgements (should be uploaded in Word format)
- Figure Legends (should be uploaded in Word format)
- Figures (should be uploaded in a compressed package. Jpg or png format is recommended for the pictures)
- Tables (should be uploaded in Word format)
- Supplementary Materials (can be uploaded in any form of a compressed package, Excel, or Word)
- Raw Data (can be uploaded in any form of a compressed package, Excel, or Word)
Abstract format
- Research Article, Short Communication: A structured abstract is needed, usually covering objective, methods, results, and conclusion, to clearly outline the study's core content and findings.
- Review Article, Perspective, Method, Protocol, Analysis: An unstructured abstract is required, offering an overall summary of the article without dividing it into specific sections, with more focus on the general summary and viewpoint presentation.
- Other types of articles: No abstract is needed. You can submit "No abstract available" in the system.
References format in citation
- For references with less than six authors, all authors should be listed, and a doi link should be attached at the end. For example: Shiogama H, Watanabe M, Kim H, & Hirota N. (2022). Emergent constraints on future precipitation changes. Nature, 602(7898),612-616. https://doi.org/10.1038/s41586-021-04310-8
- For references with more than six authors, only the first six authors should be listed, and the remaining authors should be replaced with "et al", and a doi link should be attached at the end. For example: Huang HJ, Liu C, Sun XW, Wei RQ, Liu LW, Chen HY, et al. (2024) The rheumatoid arthritis gut microbial biobank reveals core microbial species that associate and effect on host inflammation and autoimmune responses. iMeta, 3(5). https://doi.org/10.1002/imt2.242
References format in system
[1] Shiogama H, Watanabe M, Kim H, & Hirota N. (2022). Emergent constraints on future precipitation changes. Nature, 602(7898),612-616. https://doi.org/10.1038/s41586-021-04310-8
[2] Huang HJ, Liu C, Sun XW, Wei RQ, Liu LW, Chen HY, et al. (2024) The rheumatoid arthritis gut microbial biobank reveals core microbial species that associate and effect on host inflammation and autoimmune responses. iMeta, 3(5). https://doi.org/10.1002/imt2.242
References format in manuscript
- In the article, references should be placed in square brackets before the full stop of a sentence. For example: Recent advancements in integrating machine learning with multi-omics have been pivotal in identifying key molecular signatures in sarcoma [1].
- In the article, references should be placed in square brackets before the full stop of a sentence. Two articles are cited continuously. Whether the serial number of the literature is continuous or not, it should be separated by commas. For example: Recent advancements in integrating machine learning with multi-omics have been pivotal in identifying key molecular signatures in sarcoma [1,2].
- In the article, references should be placed in square brackets before the full stop of a sentence. When a number of consecutive references are cited, the serial number of the first article and the serial number of the last article should be separated by a horizontal bar. For example: Recent advancements in integrating machine learning with multi-omics have been pivotal in identifying key molecular signatures in sarcoma [1-5]
Word Limit
- Research Article: 3000-6000 words and 4–6 figures. Supplement file is no limit.
- Review Article: 3000-12000 words, 2–6 figures and tables.
- Short Communication: 1500-3000 words and 1–3 figures.
- Perspective: 3000-5000 words
- Method: 3000-12000 words, figures no limit
- Protocol: 3000-12000 words, figures no limit
- Abstracts: Up to 5000 words 8. Analysis: 3000-12000 words.
- Other types of articles: words and figures no limit.
All the Research Article and Short Communication manuscripts that are submitted to Open Access journal need to be submitted in the following format:
- Cover letter
- Title Page
- Abstract
- Introduction
- Materials and Methods
- Results
- Discussion
- Conclusion
- Abbreviations
- Acknowledgements
- References
The Acknowledgements section should include the following parts:
- Author contributions: This part details each author’s specific roles in the research, like who handled the study design, data collection, analysis, and writing. It clarifies author responsibilities and credit, enhancing research transparency. It’s typically at the paper’s end or in a separate author contribution statement.
- Ethics approval and consent to participate: For studies involving human subjects or animal experiments, this part confirms whether ethical committee approval and participant consent were obtained. It’s crucial for ensuring ethical compliance and is usually in the methods section or a separate ethics statement.
- Funding information: This lists the research’s funding sources, including funding agencies and project numbers. It helps understand financial support and acknowledges funders. It’s typically at the paper’s end or in a separate funding statement.
- Competing Interests: Authors declare any potential conflicts of interest that might affect the research’s fairness, such as financial ties to companies. If none exist, a statement like “The authors declare no competing interests” is used. It’s usually at the paper’s end or in a separate conflict of interest statement.
- Data Availability: This part explains if the research data is accessible and how to obtain it. Some journals require data sharing for reproducibility and transparency. It’s typically at the paper’s end or in a separate data availability statement.
- Thanks: The thanks section acknowledges individuals or institutions that assisted but didn’t directly participate in the research.
Allergy and Respiratory Research
Allergy and respiratory research in cellular biology focuses on understanding the cellular and molecular mechanisms that underlie allergic responses and respiratory diseases. This interdisciplinary field integrates immunology, cell biology, and pulmonary physiology to explore the complex interactions between environmental factors, immune cells, and lung tissue.
Researchers in this area investigate a wide range of conditions, including asthma, chronic obstructive pulmonary disease (COPD), cystic fibrosis, and various forms of allergies such as hay fever and food allergies. They study how allergens trigger immune responses, the role of inflammatory mediators, and the involvement of specific cell types like mast cells, eosinophils, and T-helper cells in the pathogenesis of these diseases.
Advances in allergy and respiratory research have led to significant improvements in diagnostics, treatments, and prevention strategies. Innovations include the development of biologics targeting specific cytokines or antibodies involved in allergic reactions, personalized medicine approaches based on genetic profiling, and advanced imaging techniques for monitoring lung function and structure. Moreover, there is growing interest in exploring the gut-lung axis and the impact of microbiota on respiratory health.
Cellular biology plays a critical role in guiding the discovery of new therapeutic targets and interventions. By investigating the signaling pathways and cellular processes involved in inflammation and immune regulation, researchers can identify potential drugs or therapies that could modulate these responses. Understanding these mechanisms also aids in predicting patient responses to different treatments and developing tailored therapies.
In conclusion, the Allergy and Respiratory Research in Cellular Biology section of our journal aims to highlight cutting-edge research findings and promote collaboration among immunologists, pulmonologists, biologists, and clinicians. We emphasize studies that advance our understanding of the cellular and molecular bases of allergic and respiratory diseases and apply this knowledge to develop innovative diagnostics and therapies.
Bioinformatics Research
Bioinformatics research in cellular biology integrates computational and statistical techniques to analyze and interpret complex biological data at the cellular level. This interdisciplinary field bridges computer science with molecular and cell biology, providing tools for understanding cellular processes and functions.
Researchers apply bioinformatics methods to study gene expression, protein-protein interactions, metabolic pathways, and signaling networks. Advanced algorithms and machine learning models are used to predict cellular behavior, identify disease biomarkers, and understand genetic variations that contribute to phenotypic diversity.
Advances in high-throughput technologies such as next-generation sequencing (NGS) have generated vast amounts of genomic, transcriptomic, proteomic, and metabolomic data. Bioinformatics plays a critical role in managing and analyzing this 'big data', enabling researchers to uncover novel insights into cellular mechanisms and develop personalized medicine approaches.
Cellular biology benefits greatly from bioinformatics through the construction of detailed cellular maps and models. By integrating multi-omics data, researchers can simulate cellular responses to environmental changes, drugs, or genetic modifications. This leads to better strategies for therapeutic interventions and drug discovery.
In conclusion, the Bioinformatics Research in Cellular Biology section of our journal aims to present leading-edge research findings and promote collaboration among computational biologists, cell biologists, and clinicians. We focus on the development and application of computational tools that enhance our understanding of cellular systems and contribute to biomedical advances.
Cancer Research
Cancer research in cellular biology is a vibrant and expanding field that delves into the fundamental mechanisms of cancer at the cellular level. By understanding how cancer cells form, grow, and spread, researchers are developing new therapies and treatment strategies to combat this devastating disease.
The focus of cellular biology in cancer research is on the intricate processes that govern cell division, DNA repair, cell signaling, and cell death. Aberrations in these processes can lead to the uncontrolled growth and spread of cancer cells. By studying these mechanisms, scientists are uncovering new targets for therapeutic intervention.
Advanced technologies, such as CRISPR/Cas9 gene editing, single-cell sequencing, and high-throughput screening, are revolutionizing cancer research in cellular biology. These tools enable researchers to manipulate genes, analyze individual cells, and identify potential drug candidates with unprecedented precision.
Collaboration among cellular biologists, oncologists, geneticists, and bioinformaticians is essential for advancing cancer research in cellular biology. This multidisciplinary approach fosters innovation and accelerates the translation of basic research findings into clinical applications. For example, by combining cellular biology insights with clinical data, researchers are developing personalized medicine approaches that tailor treatments to individual patients.
In conclusion, the Cancer Research in Cellular Biology section of our journal aims to showcase cutting-edge research and facilitate academic exchange in this exciting field. Here, we document the latest discoveries and advancements in understanding the cellular mechanisms of cancer. We believe that through continued support and engagement with this research community, we can make significant contributions to improving cancer outcomes and patient care.
Cardiovascular Research
Cardiovascular research in cellular biology is a pivotal area that delves into the fundamental mechanisms underlying heart and vascular function at the cellular level. This field plays a crucial role in understanding the cellular and molecular basis of cardiovascular diseases, paving the way for novel therapeutic strategies and diagnostic approaches.
Research in cellular biology has uncovered intricate signaling pathways, genetic mutations, and cellular processes that contribute to the development and progression of cardiovascular diseases. By elucidating these mechanisms, scientists can identify new targets for drug development and design more effective treatment strategies tailored to individual patients.
Advances in cellular technologies, such as CRISPR gene editing, stem cell therapy, and high-throughput screening, are revolutionizing cardiovascular research. These tools enable researchers to manipulate genes, study cellular differentiation, and identify potential therapeutic compounds more efficiently. This, in turn, accelerates the translation of basic research findings into clinical applications.
The intersection of cellular biology with other disciplines, such as bioinformatics, biophysics, and systems biology, is fostering a deeper understanding of cardiovascular physiology and pathology. Collaborative efforts among researchers from diverse fields are driving innovation and leading to the discovery of new insights into the complex mechanisms governing heart and vascular health.
In conclusion, the Cardiovascular Research in Cellular Biology section of our journal aims to be a leading platform for presenting cutting-edge research and facilitating academic exchange in this vital area. We strive to highlight the relentless pursuit of knowledge by scientists and celebrate the milestones they achieve in unraveling the cellular and molecular basis of cardiovascular diseases. Through continuous support and engagement with this field, we aspire to make significant contributions to improving human health.
Clinical and Public Health Research
Public health research in biological sciences integrates epidemiology, genetics, microbiology, and environmental health to understand the factors that influence population health and disease prevention. This interdisciplinary field seeks to uncover the biological mechanisms underlying health disparities and develop strategies for improving public health outcomes.
Researchers in this area investigate a broad spectrum of topics, from infectious diseases and chronic conditions to the impact of environmental exposures on human health. Studies often involve large-scale data analysis, biomonitoring, and molecular epidemiology to identify risk factors and protective elements within populations. Public health researchers also explore how genetic variability influences susceptibility to disease and response to treatments.
Advances in public health research have led to significant improvements in vaccination programs, infection control measures, and health policy development. Innovations in diagnostics, such as rapid testing technologies and personalized medicine approaches, have enhanced our ability to detect and manage diseases early. Moreover, the integration of genomics into public health practices is opening new avenues for targeted interventions and preventive strategies.
Biological sciences play an essential role in guiding the formulation of public health policies and guidelines. By understanding the molecular and cellular bases of diseases, researchers can provide evidence-based recommendations for interventions that reduce morbidity and mortality. This knowledge is critical for addressing global health challenges, including emerging infectious diseases, antimicrobial resistance, and non-communicable diseases.
In conclusion, the Public Health Research in Biological Sciences section of our journal aims to highlight pioneering research findings and promote collaboration among epidemiologists, biologists, clinicians, and policymakers. We focus on studies that enhance our understanding of the biological determinants of health and apply this knowledge to improve public health interventions and policies.
Diagnostics and Therapeutics Research
This section focuses on the core principles of cellular biology and their relevance to disease mechanisms. It covers the regulation of cellular pathways, interactions between various biomolecules, and the identification of molecular markers that underpin pathological processes. By integrating these fundamental insights, researchers can develop more accurate diagnostic assays and discover promising therapeutic targets.
Recent advances in high-throughput technologies—such as single-cell sequencing, multi-omics analyses, and CRISPR-based gene editing—have revolutionized our ability to detect and characterize disease at the cellular level. These innovations enable precision diagnosis, improve patient stratification, and pave the way for targeted therapies. Coupling these cutting-edge techniques with robust data analytics further refines our understanding of cellular mechanisms and accelerates clinical translation.
Looking ahead, continued exploration of cell-to-cell variability and integrative analysis of molecular data are poised to transform diagnostics and therapeutics. Efforts to personalize treatments based on a patient’s unique cellular and genetic profile will expand, driven by advances in predictive modeling and artificial intelligence. Additionally, increased collaboration between clinicians, researchers, and industry partners will foster next-generation diagnostic platforms and novel therapeutics.
Potential Submission Topics
- Novel biomarkers and molecular signatures for early disease detection
- Single-cell and multi-omics approaches in diagnostics and treatment planning
- CRISPR and gene-editing techniques for therapeutic intervention
- AI-driven analytics and predictive modeling for personalized medicine
- Translational research linking cellular biology findings to clinical applications
- Innovative assays, lab-on-a-chip platforms, and point-of-care diagnostic tools
Functional Molecules Research
Functional molecules play pivotal roles in cellular biology, mediating a myriad of processes essential for life. Research into these molecules, including their structure, function, and interactions, has become a cornerstone of modern biology due to their implications in understanding cellular mechanisms and developing novel therapies for various diseases.
The study of functional molecules in cellular biology encompasses a wide range of topics, from signaling molecules that transmit information within and between cells, to enzymes that catalyze biochemical reactions, and structural molecules that maintain cellular integrity. These molecules often work in concert within complex regulatory networks, making their study both challenging and fascinating.
Advances in technology, such as cryo-electron microscopy, mass spectrometry, and gene editing tools like CRISPR/Cas9, have revolutionized our ability to investigate functional molecules at the molecular and atomic levels. These techniques have enabled researchers to gain unprecedented insights into the structure and function of these molecules, paving the way for the development of new therapeutic strategies.
Functional molecules research also intersects with many other areas of biology and medicine, including genetics, biochemistry, and pharmacology. Collaboration among experts from these diverse fields has led to groundbreaking discoveries and the development of new technologies that have transformed our understanding of cellular biology. For example, the elucidation of the roles of specific functional molecules in disease pathways has informed the design of targeted therapies that are more effective and have fewer side effects.
In conclusion, the Functional Molecules Research in Cellular Biology section of our journal aims to be a leading platform for showcasing cutting-edge research and facilitating academic exchange in this dynamic field. We are committed to documenting the relentless pursuit of knowledge by scientists and celebrating the milestones they achieve in unraveling the complexities of functional molecules in cellular biology. Through continuous support and engagement with this field, we believe we can make significant contributions to improving human health.
Immunology Research
This section focuses on cutting-edge immunological studies with a strong emphasis on cellular biology. It explores the intricate cellular and molecular mechanisms that drive immune responses in health and disease. Topics include, but are not limited to, the role of immune cells in various pathological conditions, signaling pathways in immune regulation, cell-cell interactions within the immune system, and the development of novel immunotherapeutic strategies.
Submissions may cover a wide array of topics such as:
- Advances in the understanding of T-cell, B-cell, and macrophage biology
- The role of immune cells in tissue homeostasis, repair, and inflammation
- Cellular dynamics in transplant immunology, graft rejection and immune tolerance
- The interplay between immune cells and the tumor microenvironment
- The application of single-cell multi-omics technologies in unraveling immune heterogeneity
We encourage studies employing innovative methodologies, including single-cell analysis, spatiotemporal omics and advanced imaging, to deepen the understanding of immune cell biology. The section aims to provide a platform for high-quality, original research and comprehensive reviews that contribute to advancing the field of cellular immunology.
Submissions should highlight the relevance of their findings to the broader immunology and cellular biology communities, offering translational potential for therapeutic applications.
Integrated Multi-omics Research
Integrated multi-omics research in cellular biology combines data from genomics, transcriptomics, proteomics, metabolomics, and other omics layers to provide a comprehensive view of cellular processes. This approach enables researchers to understand the complex interplay between genetic information, gene expression, protein activity, and metabolic pathways within cells.
Researchers use advanced computational methods and statistical models to integrate multi-omics datasets. By doing so, they can uncover regulatory networks, identify key drivers of cellular behavior, and predict outcomes under different conditions or perturbations. This integrative approach facilitates the discovery of biomarkers for disease diagnosis and treatment.
Advances in high-throughput sequencing and analytical technologies have made it possible to generate vast amounts of omics data. Integrated multi-omics studies are essential for translating this data into meaningful biological insights. They help elucidate mechanisms underlying cellular responses to environmental changes, diseases, and therapeutic interventions.
Cellular biology benefits significantly from integrated multi-omics research by allowing for a systems-level understanding of cell function. Researchers can build predictive models that simulate cellular behavior, which is crucial for developing personalized medicine approaches and drug discovery. The integration of multi-omics data also aids in validating hypotheses generated from single-layer omics studies.
In conclusion, the Integrated Multi-omics Research in Cellular Biology section of our journal aims to highlight cutting-edge research findings and foster collaboration among bioinformaticians, cell biologists, and clinicians. We emphasize studies that leverage the power of multi-omics integration to deepen our understanding of cellular systems and advance biomedical research.
Signaling and Signal Transduction Research
Signaling and signal transduction research in cellular biology is a cornerstone field that explores the intricate mechanisms by which cells communicate and respond to external and internal stimuli. This area of study is vital for understanding how cells regulate their functions and adapt to changing environments.
Research in this field has revealed complex signaling pathways and molecular interactions that underpin cellular processes such as growth, differentiation, and metabolism. By deciphering these signaling networks, scientists can gain insights into the mechanisms of disease and develop novel therapeutic strategies.
Advances in technologies such as high-throughput screening, gene editing, and imaging have revolutionized signaling and signal transduction research. These tools enable researchers to probe the functions of signaling molecules, map out signaling pathways, and visualize the dynamic interactions within cells.
The integration of cellular biology with other disciplines, such as biochemistry, genetics, and bioinformatics, has enhanced our understanding of signaling and signal transduction. Collaborative efforts across these fields have led to the discovery of new signaling molecules, the elucidation of signaling pathways, and the development of innovative therapeutic approaches.
In conclusion, the Signaling and Signal Transduction Research in Cellular Biology section of our journal aims to showcase the latest research findings and foster academic exchange in this exciting field. We are committed to highlighting the groundbreaking work of scientists and promoting the advancement of knowledge in signaling and signal transduction.
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