Minimal level of conflict (1)

By: James V. Kohl | Published on: December 8, 2023

When President Donald Trump linked sunlight and humidity to biophysically constrained coronavirus replication on 4/23/20, he failed to detail all the links from God’s ATP-dependent Creation of RNA to RNA interference (RNAi) via the physiology of reproduction and Biblical Genesis.

What should have been a minimal level of conflict in the context of RNAi (84,700 results), which was the 2002 Science Breakthrough of the Year, was subsequently placed into the context of the claims in Separated We Survive 9/29/20 and other more or less offensive claims based on pseudoscientific nonsense.

Public health fascists pitted individual liberty against the synthetic mRNA propaganda and the Politics of Epigenetics 11/12/21 (link opens pdf.)

Anyone who told the truth about energy-dependent stem cell Creation at the origin of life was silenced on social media, and the historical record was removed from consideration.

For examples, see: Eshel Ben-Jacob and miRNA and Learning from bacteria about natural information processing 10/15/09

For a recent obfuscation of facts, see: A tailed mirtron promotes longevity in Drosophila 12/4/23

“We found that miR-1017 can extend lifespan when ectopically expressed in the neurons, which seems partly due to this miRNA targeting its host transcript, acetylcholine receptor Dα2. Unexpectedly we found that not only did miR-1017 function in trans but also in cis by affecting splicing of Dα2. This suggests a mechanism for mirtron evolution where initial roles of structural elements in splicing lead to secondary acquisition of trans-regulatory function.”

No experimental evidence from any model organism has been linked to “mirtron evolution.” See The mirtron pathway generates microRNA-class regulatory RNAs in Drosophila 6/28/07

Pathways do not generate anything. Energy is required. The energy comes from sunlight.

Today’s PubMed search for miRNAs resulted in a link to An Enhanced Quantitative Reverse Transcription-PCR Approach for Measuring Circulating MicroRNAs 12/8/23

“Short (22 nt) RNAs called microRNAs (miRNAs) bind to and inhibit target messenger RNAs in gene regulatory networks. Recent study suggests that miRNAs circulate in a stable, cell-free form and that particular miRNAs in plasma or serum may be biomarkers for cancer and other diseases.”

The measurements link energy-dependent changes in the miRNA-mRNA balance to healthy longevity or from the virus-driven degradation of mRNA to all virus-driven diseases.

To return to what is known to intelligent serious scientists about energy-dependent miRNA-mediated healthy longevity across kingdoms see:

Systems Biology 12/8/23. It links everything known about natural information processing from quantum coherence to coherently organized biology during the past 6000 years of stem cell Creation, cell type differentiation, and ecological adaptations across kingdoms.

“Part One looks at models in systems biology and parameters identification such as short peptide analysis, metastasis models, and metabolomics. Part Two covers computational methods in the study of organisms, and cancer non-linear dynamics. Part Three discusses critical transition states across Waddington’s like landscapes such as understanding cell differentiation through single-cell approaches and modeling mammary organogenesis from biological first principles. Part Four talks about specific fields of investigation including inborn errors of metabolism, system biology approach in epithelial-mesenchymal transition, and an approach to understanding how COVID-19 spreads in the population.”

If you are confused by the nonsense touted by theorists, see: MicroRNA-based regulation of epithelial-hybrid-mesenchymal fate determination 10/23/13 Start with the facts known to all intelligent serious scientists in 2013, and learn how to prevent virus-driven pathology, or pretend you will not be held accountable for not knowing why Trump claimed that sunlight and humidity weakened coronaviruses, which was the SCIENTIFIC TRUTH.

See:

  1. Front MatterPages i-xviPDF
  2. Models in Systems Biology and Parameters Identification
    1. Front MatterPages 1-1PDF
    2. Identifying Key In Silico Knockout for Enhancement of Limonene Yield Through Dynamic Metabolic Modelling
      • Jasmeet Kaur Khanijou, Yan Ting Hee, Kumar Selvarajoo
      Pages 3-19
    3. The Search for System’s Parameters: Statistical and Dynamical Description from Complex Network Analysis
      • Alessandro Giuliani
      Pages 21-30
    4. Untargeted Analysis of Short-Chain Peptides in Urine Samples Short Peptides Analysis
      • SaraElsa Aita, Andrea Cerrato, Aldo Laganà, Carmela Maria Montone, Enrico Taglioni, Anna Laura Capriotti
      Pages 31-43
    5. Metastasis Models: Thermodynamics and Complexity
      • A. Guerra, J. A. Betancourt-Mar, J. A. Llanos-Pérez, R. Mansilla, J. M. Nieto-Villar
      Pages 45-75
    6. Metabolomics: Challenges and Opportunities in Systems Biology Studies
      • Ahmed Mediani, Syarul Nataqain Baharum
      Pages 77-90
    7. Optical Estimation of Bioelectric Patterns in Living Embryos
      • Patrick McMillen, Michael Levin
      Pages 91-102
  3. Computational Methods
    1. Front MatterPages 103-103PDF
    2. Mathematical Modeling in the Study of Organisms and Their Parts
      • Maël Montévil
      Pages 105-119
    3. Systems Biology Modeling of Cancer Nonlinear Dynamics
      • Abdallah Alameddine
      Pages 121-134
  4. Critical Transition States Across Waddington’s Like Landscapes
    1. Front MatterPages 135-135PDF
    2. From Cell States to Cell Fates: Control of Cell State Transitions
      • Masa Tsuchiya, Alessandro Giuliani, Paul Brazhnik
      Pages 137-162
    3. Understanding Cell Differentiation Through Single-Cell Approaches: Conceptual Challenges of the Systemic Approach
      • Laëtitia Racine, Andras Paldi
      Pages 163-176
    4. Modeling Mammary Organogenesis from Biological First Principles: A Systems Biology Approach
      • Cheryl M. Schaeberle, Victoria A. Bouffard, Carlos Sonnenschein, Ana M. Soto
      Pages 177-188
  5. Specific Fields of Investigation
    1. Front MatterPages 189-189PDF
    2. Systems Biology and Inborn Error of Metabolism: Analytical Strategy in Investigating Different Biochemical/Genetic Parameters
      • Aurora Piombarolo, Cristiano Ialongo, Mariano Bizzarri, Antonio Angeloni
      Pages 191-210
    3. System Biology Approach in Investigating Epithelial-Mesenchymal Transition (EMT)
      • Noemi Monti, Alessandro Querqui, Guglielmo Lentini, Marco Tafani, Mariano Bizzarri
      Pages 211-225
    4. An Enhanced Quantitative Reverse Transcription-PCR Approach for Measuring Circulating MicroRNAs
      • Mahmoud Tavallaie, Mostafa Khafaei
      Pages 227-231
    5. Systems Biology Approaches to Understanding COVID-19 Spread in the Population
      • Sofija Marković, Igor Salom, Marko Djordjevic
      Pages 233-253

“We here demonstrate that a combination of dynamic modeling and machine learning approaches can represent a powerful tool in understanding the spread, not only of COVID-19, but of any infectious disease of epidemiological proportions.”

If you still believe in moronic theories that link the emergence of energy from the cosmic void to the evolution of humans from pond scum, you exemplify human idiocy, and you will probably suffer the same fate as every other fool who has existed since the origin of life.


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