Codon optimality vs systemic fraud (6)

By: James V. Kohl | Published on: July 2, 2022

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Re: Analysis of mRNA Dynamics Using RNA Sequencing Data 7/2/22

Excerpt 1) The RNA abundance of each gene is determined by its rates of transcription and RNA decay.

Excerpt 2) Estimating differential transcription and decay rates of RNA molecules would enable the identification of regulatory factors, such as transcription factors, RNA binding proteins, and microRNAs, that govern large-scale shifts in RNA expression.

Excerpt 3) We…demonstrate how estimates of differential stability can be leveraged to infer the regulatory factors underlying them.

The regulatory factors that underlie differences between RNA abundance and RNA decay are energy-dependent and miRNA-mediated.
The abstract and list of 25 references can be linked from God’s Creation of energy-as-information via the claim from McEwen et al. (1964)

The synthesis of RNA in isolated thymus nuclei is ATP dependent.

What will people who claim to be intelligent serious scientists claim when they learn that God’s ATP-dependent Creation of RNA has been linked to estimating differences in miRNA-mediated transcription and decay rates of RNA molecules that have regulated viral endemicity via pH-dependent RNA expression during the past ~6000 years of ecological adaptations across kingdoms?
See these two video presentations: What is life when it is not protected from virus driven entropy 3/30/16 and Energy as information and constrained endogenous RNA interference 2/15/17
The facts links quantum coherence to coherently organized biology via MicroRNAs organize intrinsic variation into stem cell states 3/5/20, MicroRNA Involvement in Signaling Pathways During Viral Infection, 3/10/20 and to former President Donald J. Trump’s claim from 4/23/20 that sunlight and humidity weaken coronaviruses, such as COVID19, via food energy and the fact that Optimal Nutritional Status for a Well-Functioning Immune System Is an Important Factor to Protect against Viral Infections 4/23/20
For examples of systemic fraud, see: Gurus of Omics from the current issue of The Pathologist

…at least six more of the 20 common amino acids are also phosphorylated in humans.

They still have not linked phosphorylation from God’s Creation of sunlight and humidity to the ATP-dependent Creation of RNA via the potential of hydrogen (pH).

We aim to create technologies that facilitate identification of metabolites that can alter biological systems…”
They did not link food metabolism to pheromone-regulated genetic processes of reproduction in biological systems from yeasts to humans.

They did not link food metabolism to pheromone-regulated genetic processes of reproduction in biological systems from yeasts to humans.

…we don’t like to use “features” or “tentatively identified molecules.

Clearly, they are not like neo-Darwinian evolutionary theorists. However, this claim invalidates their pseudoscientific nonsense.

…my group was the first to combine transcriptomics, proteomics, and metabolomics to investigate bioactive food compounds…

See: Nutrient-dependent/pheromone-controlled adaptive evolution: a model (2013)

An environmental drive evolved from that of nutrient ingestion in unicellular organisms to that of pheromone-controlled socialization in insects. In mammals, food odors and pheromones cause changes in hormones such as LH, which has developmental affects on pheromone-controlled sexual behavior in nutrient-dependent reproductively fit individuals across species of vertebrates.

If the gurus of omics continue to plagiarize the works of intelligent serious scientists, you can still use facts supported by experimental evidence of energy-dependent miRNA-mediated top-down causation and biophysically constrained virus-driven pathology in From Fertilization to Adult Sexual Behavior (1996) and Nutrient-dependent Pheromone-Controlled Ecological Adaptations: From Angstroms to Ecosystems 4/18/18
See for comparison, more than 144,000 indexed published works that mention miRNAs, and these selected references from Re: Analysis of mRNA Dynamics Using RNA Sequencing Data 7/2/22

- Kinker GS, Greenwald AC, Tal R et al (2020) Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity.
- Mathys H, Davila-Velderrain J, Peng Z et al (2019) Single-cell transcriptomic analysis of Alzheimer’s disease.
- Schoenberg DR, Maquat LE (2012) Regulation of cytoplasmic mRNA decay.
- Bartel DP (2018) Metazoan MicroRNAs.
- Carpenter S, Ricci EP, Mercier BC et al (2014) Post-transcriptional regulation of gene expression in innate immunity.
- Eser P, Demel C, Maier KC et al (2014) Periodic mRNA synthesis and degradation co-operate during cell cycle gene expression.
- Chen Y-W, Song S, Weng R et al (2014) Systematic study of drosophila MicroRNA functions using a collection of targeted knockout mutations.
- DeVeale B, Swindlehurst-Chan J, Blelloch R (2021) The roles of microRNAs in mouse development.
- Shibata M, Nakao H, Kiyonari H et al (2011) MicroRNA-9 regulates neurogenesis in mouse telencephalon by targeting multiple transcription factors.
- Tonelli DDP, Pulvers JN, Haffner C et al (2008) miRNAs are essential for survival and differentiation of newborn neurons but not for expansion of neural progenitors during early neurogenesis in the mouse embryonic neocortex.
- Tani H, Akimitsu N (2012) Genome-wide technology for determining RNA stability in mammalian cells.
- Wada T, Becskei A (2017) Impact of methods on the measurement of mRNA turnover.
- Yamada T, Akimitsu N (2019) Contributions of regulated transcription and mRNA decay to the dynamics of gene expression.
- Rodrigues DF, Costa VM, Silvestre R et al (2019) Methods for the analysis of transcriptome dynamics.
- Gaidatzis D, Burger L, Florescu M, Stadler MB (2015) Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation.
- Alkallas R, Fish L, Goodarzi H, Najafabadi HS (2017) Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease.
- Furlan M, Galeota E, Gaudio ND et al (2020) Genome-wide dynamics of RNA synthesis, processing, and degradation without RNA metabolic labeling.
- Scheckel C, Drapeau E, Frias MA et al (2016) Regulatory consequences of neuronal ELAV-like protein binding to coding and non-coding RNAs in human brain.
- Agarwal V, Bell GW, Nam J-W, Bartel DP (2015) Predicting effective microRNA target sites in mammalian mRNAs.

The Gurus of Omics from the current issue of The Pathologist appear to have many things in common with David Sloan Wilson, a biologically uninformed neo-Darwinian gene-centric evolutionary theorist who failed to link God’s Creation of energy to all biophysically constrained biodiversity on Earth via the claims in Biblical Genesis.
Instead see: Human Energy initiated this project, Science of the Noosphere to conduct research that would place the ideas described in Chapter 10 — titled “The Formation of the Noosphere: A Plausible Biological Interpretation of Human History”
Plausible biological interpretations of human history link energy-dependent Peptide synthesis at the origin of life 11/13/20 to Footprints of a Singular 22-Nucleotide RNA Ring at the Origin of Life 4/20/20 and all biodiversity on Earth via Visualizing a protonated RNA state that modulates microRNA-21 maturation 10/26/20

Codon optimality vs systemic fraud (6)

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