Scientific background
Published guidance and reviews inform terminology, methods and research questions.
Our scientific approach starts with the source, the cargo and the biological context, then asks what evidence would support the next step.
General literature, founder publications, patent application records and Rnevox-specific results represent different kinds of evidence.
Published guidance and reviews inform terminology, methods and research questions.
Earlier work documents Senem Şimşek's research contribution in cell differentiation and disease modelling.
Technical disclosures and named inventors are distinct from product validation, granted rights and company ownership.
No product-specific experimental dataset is presented on this site. Any future result should identify its methods, model, limitations and publication status.
Published studies have identified coding and non-coding RNAs in selected EV preparations. Finding RNA does not by itself demonstrate delivery, translation or a useful biological effect.
We propose a staged evaluation strategy, selecting models according to the material, exposure route and biological question.
Proposed evaluationConsider relevant three-dimensional models to examine cell responses and variation within a defined biological context.
Explore whether a designed tissue arrangement would help assess interactions between cells, cargo and surrounding material.
Consider these systems where an exposed epithelial surface is appropriate to the research question.
Compare carrier, cargo and formulation controls, with measurements chosen to distinguish association, uptake and biological response.
Cell differentiation and tissue function connect this research with regenerative biology. Evidence must be established separately for each material and intended use.
Research contextThe proposed evaluation addresses material quality, biological barriers and safety before an application claim can be made.
Track changes in integrity, composition and activity during storage and handling.
Compare independent preparations to establish how much their properties vary.
Test whether increasing production preserves material quality, recovery and reproducibility.
Measure RNA classes, abundance and integrity alongside other cargo, and distinguish vesicle-associated material from non-vesicular components.
For oral concepts, test exposure to relevant digestive conditions and barriers to transport.
Determine where material goes, what is released and whether the intended interaction occurs.
Assess dose, repeated exposure and unintended responses over relevant durations for each material and intended use.
We aim to explore AI, machine learning and deep learning for biological imaging and omics analysis, with hypotheses tested through laboratory experiments.
Proposed moduleGeneral scientific background
MISEV2023: guidance for extracellular vesicle researchWelsh et al., 2024. ISEV consensus guidance on terminology and experimental rigour. This is field guidance, not Rnevox validation.
General scientific background
Hybrid nanoencapsulation systems for functional foodsSethunga et al., 2025. A review of formulation approaches and remaining challenges. It does not evaluate a Rnevox material.
Founder publication
Modeling Cystic Fibrosis Using Pluripotent Stem Cell-Derived Human Pancreatic Ductal Epithelial CellsSimsek et al., 2016. An experimental study of cell differentiation and laboratory disease modelling, undertaken at Weill Cornell.
Founder publication
Human-induced pluripotent stem cell technology for the establishment of a versatile pancreatic ductal disease platformSimsek, 2021. A research perspective on pancreatic cell models and future model integration. It is not a Rnevox product study.
Experimental scientific background
Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cellsValadi et al., 2007. Experiments in specified mast-cell systems; not evidence that every EV preparation has the same cargo or function.
Experimental scientific background
Performance assessment of total RNA sequencing of human biofluids and extracellular vesiclesEveraert et al., 2019. Profiles mRNA, lncRNA and circRNA, with differences among sample types and limits to generalisation.