Do vaults fit GEIER's programme? - Yes! Therefore, a relevant hypothesis ... ! - A first look by Stefan Geier et al.

Do vaults fit GEIER's programme? - Yes! Therefore, a relevant hypothesis ... ! - A first look
by Stefan Geier et al.

1. 78 major vault proteins fit the 9th LUCAS-number 76 with 97.4%. GEIER's Equations may be worth being considered.

2. In addition, 78 = 2 x 3 x 13 = 2 x 3 x F7, with F7 the 7th FIBONACCI-number, would fit GEIER's "2 x 3 Rule" and GEIER's Equations with 100%; therefore, vaults should be analysed with this point of view, too. (Both findings indicate that GEIER's equlibrium standpoint including GEIER's equations and GEIER's 2x3 Rule is a successfull theory. An equilibrium explains 1. as well as 2. . Further analyses are appropriate.)
Yours Stefan Geier, Haidholzen

Wikipedia, today: PDB ID: 2ZUO H. Tanaka, K. Kato, et al. The Structure of Rat Liver Vault at 3.5 Angstrom Resolution. Science 323 pp. 384 (2009)

Addita: 1. vRNA lengths fit the region of F11=89 to F12=144 with the 10th LUCAS-number 123 in the middle. (Wikipedia, 4.7.2026: 86 to 141 nt, center 127.5 nt; this provides additional - however weak - evidence for GEIER's programme.)

2. Main fit table provides additional evidence:

Biological quantityValueNearest FibonacciFitNearest LucasFitBest fit
MVP copies per full vault78F10 = 5570.51%L9 = 7697.44%Lucas


13-fold cap/symmetry feature reported in newer structural discussions13F7 = 13100%L6 = 1861.54%Fibonacci
Human MVP length893 aaF16 = 98789.47%L14 = 84394.40%Lucas
Rat MVP length861 aaF16 = 98785.37%L14 = 84397.91%Lucas
Human PARP4/vPARP1,724 aaF17 = 159792.63%L15 = 136479.12%Fibonacci
Human TEP12,627 aaF18 = 258498.36%L16 = 220784.01%Fibonacci
Human hvg-1 / vtRNA1-198 ntF11 = 8990.82%L10 = 12374.49%Fibonacci
Human hvg-2/hvg-388 ntF11 = 8998.86%L9 = 7686.36%Fibonacci
Rodent vtRNA141 ntF12 = 14497.87%L10 = 12387.23%Fibonacci
Bullfrog vtRNA 189 ntF11 = 89100%L9 = 7685.39%Fibonacci
Bullfrog vtRNA 294 ntF11 = 8994.68%L10 = 12369.15%Fibonacci

(Note on human vRNA/vtRNA: Human vRNA does not refute the Fibonacci/Lucas hypothesis; rather, it shows a split pattern. The two 88-nt human vRNAs remain very near F11=89, whereas the 98-nt vRNA1-1 deviates. This suggests that Fibonacci/Lucas nearness may be strongest in structurally constrained or ancestral-like vRNAs, while paralogue-specific regulatory evolution can shift the length away from the nearest Fibonacci number.)

Graphical abstract:

References:

a) https://www.science.org/content/article/biologist-aims-solve-cell-s-biggest-mystery-could-it-help-cancer-patients-too?utm_campaign=Science&utm_medium=ownedSocial&utm_source=facebook&fbclid=IwY2xjawS05s9leHRuA2FlbQIxMQBzcnRjBmFwcF9pZBAyMjIwMzkxNzg4MjAwODkyAAEe2oNHaw-wxfbVGbUOXoS7BESvauMpossUTKpZ6AQFhnEYVYj2P5VlFXMF6Oo_aem_OLBqNwX9Zc4Ezbx31aEOQA&__cf_chl_f_tk=yPapKoaJZuQHuirR0DXkQQ298De70FTrBdzOZfcd3vU-1783105407-1.0.1.1-qfw2afZnphltQIGGZSiRAAU7wHglHlQBxdbuQHwWWOY#

b) Science on Facebook, today:

"Leonard Rome’s lab discovered an odd, abundant component of cells in the 1980s—and he’s still trying to figure out what it does.
Learn more: https://scim.ag/4fMmFKg #ScienceMagArchives"

c) Stefan Geier on Blogger and ResearchGate ... : ... .

d) Yu-Kai Chao et al. , A genetically encoded device for transcriptome storage in mammalian cells.Science391,eadz9353(2026).DOI:10.1126/science.adz9353391,eadz9353(2026).DOI:10.1126/science.adz9353

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