Pea protein, p53 and cancer prevention (7)

(click to enlarge)

Organ-delimited gene regulatory networks provide high accuracy in candidate transcription factor selection across diverse processes 4/23/24

“Coherence of interactions across development, growth, and treatment variations. In plants, numerous studies (2) have focused on the inference of GRNs from gene expression data.”

Reported as: Research team develops fast-track process for genetic improvement of plant traits 5/6/24

“We were able to generate mutant lines for eleven of those twelve. Five of those eleven do change the seed oil content,” he said. “Further, we also showed that overexpression of one factor increases seed oil up to twelve percent.”

“The eight known regulatory genes, added to the eight new ones, showed that the inference approach accurately identified 13 of the top 20 candidates. The strength of the approach is that working only from a list of genes, it can predict with high accuracy which ones will regulate a trait of interest.”

“It took a long time to do because it’s a long, complicated process, and there was no guarantee that it would work,” said Varala of the four-year project. “Nothing on this scale had been attempted before.”

There was no need for intelligent serious scientists to attempt this. All of them knew that the transcription factors link God’s Creation of sunlight and humidity to oxygen-dependent plant growth and the ATP-dependent Creation of RNA in regulatory T cells that was reported in 1964. See: Dependence of RNA synthesis in isolated thymus nuclei on glycolysis, oxidative carbohydrate catabolism and a type of “oxidative phosphorylation”

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

Since RNA is the key to supercoiled DNA, see also: NOVA scienceNOW : 8 – RNAi 7/23/12

In this video

• 00:32 RNA Builds Life
• 00:56 From DNA to a Cell
• 01:53 Ribosomes
• 02:51 The Discovery of RNAi
• 03:24 RNAi Experiment

Anecdote:

As I transplanted a small tomato plant and planted some sunflower seeds, I began to wonder where theorists learned to link anything but sunlight and humidity from plant growth to biophysically constrained protein folding chemistry in the context of former President Trump’s 4/23/20 claim about protection from coronaviruses.

Re: Inference of gene regulatory networks (GRNs) from gene expression data.

I came inside and found this example of facts about the miRNA-mRNA balance, which was indexed today: Exploring the Mechanism of Yiwei Decoction in the Intervention of a Premature Ovarian Insufficiency Rat Based on Network Pharmacology and the miRNA-mRNA Regulatory Network. 4/17/24

Then I thought about the biodiversity I’ve seen in travels across 47 states. I never suspected that the diversity was not energy-dependent and miRNA-mediated. That led me to ask myself how people learn to become like the biologically uninformed science idiots that Paul claimed were fools in 1 Corinthians 15:36-38.

See for comparison: Superspreading Seeds 5/3/24

“COVER This illustration shows a process of social contagion, whereby innovative and beneficial ideas and practices spread outward from carefully chosen seed individuals within face-to-face social networks. Using a randomized experiment involving 24,702 people in 176 isolated Honduran villages, researchers documented how this process can be optimized and how social contagion can be exploited to enhance human welfare. See eadi5147.”

Natural selection for energy-dependent miRNA-mediated codon optimality is the link to optimization that requires food energy-dependent pheromone-regulated constraints on protein folding chemistry. The constraints are linked to 20 copies of p53 in cancer-free African elephants via Insect pheromone in elephants 2/22/96, and by our claims in the molecular epigenetics section of this 1996 review of stem cell Creation and cell type differentiation in species from yeasts to humans. From Fertilization to Adult Sexual Behavior.

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