Frequency, color and light (1)

By: James V. Kohl | Published on: November 14, 2024

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The truth about the latest development in effective cancer treatment links frequency, color and light from testing that I performed as a USAF-trained medical laboratory scientist to experiments with the growth of Angel Trumpets and protection from the virus-driven degradation of mRNA that links the origin of life to light-matter interactions, miRNA-mRNA interactions and protein-protein interactions.

The protein-protein interactions link light-activated carbon fixation in cyanobacteria and humidity to the color and fragrance of Angel Trumpets, which are extinct in the wild. What is known about the conserved molecular mechanisms across kingdoms refutes theories that differences in species ‘evolved’ during billions to millions of years of mutation-driven changes in genomes (gene-centric theories).

See for comparison: Alyssum Therapeutics closes Series A and emerges from stealth mode as a clinical stage B cell immunology company 10/23/24

“The core dataset of TransmiR, that is, literature-derived TF–miRNA regulation entries, has expanded from 3730 to 5095. Moreover, by leveraging ChIP-based experiments for TF-binding regions, we have generated >6 million putative TF–miRNA regulations…”

No moronic gene-centric theories link the automagical emergence of energy from the cosmic void to the mathemagical evolution of people from pond scum via energy-dependent TF–miRNA regulations.

See GROK AI @microRNApro for discussion of difference between facts about energy-dependent miRNA-mediated life and moronic theories.

Re: TransmiR v3.0: an updated transcription factor-microRNA regulation database Does this report on >6 million putative –F–miRNA regulations conclusively link energy-dependent changes in frequency, color and light directly to biophysically constrained healthy longevity across kingdoms via miRNA-mRNA interactions and protein-protein interactions?

Answer
The TransmiR v3.0 database, as described in the provided report, focuses on transcription factor (TF) to microRNA (miRNA) regulations. Here’s an analysis based on the information:

Content of TransmiR v3.0: TransmiR v3.0 contains over 6 million TF–miRNA regulations derived from ChIP-seq data and literature-curated entries. This vast amount of data provides a comprehensive view of how TFs influence miRNA expression across different species. Link to Energy-Dependent Changes: The database itself doesn’t explicitly make conclusions about energy-dependent changes in frequency, color, and light. However, the role of miRNAs in gene regulation is crucial for various biological processes, including those potentially affected by environmental factors like light and energy. Implications for Healthy Longevity: miRNAs are known to play significant roles in aging and longevity by regulating gene expression that can affect cellular processes, stress responses, and disease states. The interactions documented in TransmiR could indirectly suggest pathways through which energy-dependent environmental factors might influence health and longevity: miRNA-mRNA Interactions: miRNAs can regulate mRNA stability or translation, affecting protein synthesis which might be crucial in responses to environmental cues like light. Protein-Protein Interactions: While TransmiR focuses on TF-miRNA interactions, the downstream effects could certainly involve protein-protein interactions as part of the broader regulatory network. Cross-Kingdom Regulation: The database includes regulations from multiple organisms, which could imply a level of conservation in regulatory mechanisms across different species or kingdoms. This might suggest a universal pathway where environmental inputs like light could affect miRNA regulation, contributing to biological processes like aging. Conclusion: While TransmiR v3.0 offers a rich resource for understanding TF-miRNA networks, it does not directly or conclusively link energy-dependent changes like frequency, color, and light to healthy longevity across kingdoms. However, the data can be used to hypothesize and study such connections: Research Potential: Researchers could use this database to look for patterns where certain TF-miRNA interactions are modulated by environmental factors known to influence light and energy metabolism, potentially linking these to longevity and health outcomes.

In summary, TransmiR v3.0 provides foundational data for studying how genetic regulation might be influenced by environmental factors, but making a direct, conclusive link to energy-dependent changes affecting longevity across kingdoms would require integrating this data with other studies focusing on environmental impacts on biological systems.

My response:

There are 177,847 results from today’s PubMed search for miRNAs that appear to integrate data on environmental impacts and epigenetic effects on coherently organized biology that link quantum coherence at the origin of life via animal models. See for examples: https://pubmed.ncbi.nlm.nih.gov/?term=mirnas&sort=date What might more studies do to eliminate moronic data-driven theories from any further consideration whatsoever?

Answer
The vast number of results from your PubMed search on miRNAs underscores the extensive research in this field, particularly where miRNAs intersect with environmental impacts and epigenetics. Here’s how further studies might help in refining or eliminating less robust theories:

Clarification of Mechanisms: Mechanistic Studies: More in-depth studies focusing on the molecular mechanisms by which miRNAs respond to environmental stimuli or induce epigenetic changes would be crucial. Detailed biochemical pathways showing how miRNAs interact with environmental factors at the molecular level could validate or refute theoretical models. Integration with Systems Biology: Network Analysis: Studies integrating miRNAs into larger biological networks can demonstrate how these small RNAs fit into the broader context of cellular regulation. This holistic view can help eliminate models that do not fit within these networks or fail to account for observed biological complexity. Experimental Validation: Animal and Plant Models: Continued use of various model organisms can test hypotheses in vivo. For instance, altering environmental conditions like light, temperature, or diet in these models and observing miRNA responses can confirm or challenge existing theories. Longitudinal Studies: Long-term studies observing the effects of miRNAs over generations or lifespans in response to environmental changes could provide insights into transgenerational epigenetic inheritance and longevity, potentially disproving simplistic models. Advanced Computational Approaches: Machine Learning and AI: Employing advanced data analysis techniques to sift through large datasets can help in identifying patterns or discrepancies not visible through traditional statistical methods. These tools can predict outcomes and validate models against real-world data, potentially highlighting where theories fail. Interdisciplinary Collaboration: Physics and Biology: Collaborations between physicists and biologists could further explore the quantum aspects of biological processes, particularly how quantum coherence might influence miRNA function or epigenetic regulation. This might refine theories about life’s origins and evolution. Replicability and Meta-analysis: Replicating Key Findings: Ensuring that significant findings are replicated by independent research groups reduces the likelihood of false positives or misinterpretations. Meta-analyses: These can aggregate data across multiple studies to provide a more robust understanding of trends, helping to eliminate outliers or theories based on weak data. Functional Studies: Gain- or Loss-of-Function Experiments: Manipulating miRNA levels in controlled settings to observe direct effects on epigenetic marks or health outcomes under various environmental conditions can test the causality in proposed pathways. Critical Review and Debate: Peer Review and Scientific Debate: Encouraging rigorous peer review, publishing critical reviews, and fostering scientific debate on controversial or speculative theories can push for better experimental design and interpretation. Public Data Sharing and Transparency: Open Data Initiatives: Promoting the sharing of raw data and methodologies can allow for re-analysis by others, which might reveal flaws or confirm strengths in existing hypotheses.

By adopting these strategies, the scientific community can move towards a more evidence-based understanding, potentially eliminating models that lack empirical support or fail to integrate with the broader knowledge of molecular biology. This process would aim to refine the field’s focus on substantiated mechanisms rather than speculative or overly simplistic theories.

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Frequency, color and light (1)

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