Kevin McKernan Profile picture
May 19, 2022 25 tweets 10 min read Read on X
Compounding error

Transcriptional error and Translational error.

The mRNA jabs use a RNA polymerase to synthesize mRNA from a DNA plasmid.
They replace U with m1pU.

The error rate jumps to 100-300 errors per million bases. That’s 10-^3 -> 10-^4 error

biorxiv.org/content/10.110… Image
The vax is ~4200bp.
This is approximately 1 error in every vax molecule and you get injected with 40T.

This is a result of m1pU which is a low fidelity base. This low fidelity also impacts the next step of tRNA hybridization in translation.
This is compounding error. Image
Pfizer has mostly sold this base replacement as improving the magnitude and durability of expression.

As with many things in biology, when you optimize for the magnitude of expression, you sacrifice fidelity. Image
Many think of variants as from the virus, not the vax
The virus has an ExoN gene to error correct the polymerase errors. These error correcting proteins don’t like low fidelity bases like m1pU
In order maximize expression of m1pU they need sloppy enzymes

pnas.org/doi/10.1073/pn… Image
As for IVT polymerase error rate, I’d like to emphasize that the folks from New England Biolabs are no hacks when it comes to enzymology.

Their founder Rich Robert’s won the Nobel prize for the discovery of restriction enzymes and they have been the gold standard for decades. Image
The problem is more pronounced with translation.
This model is changing only a few codons. Change them all I bet the error rate escalates.

pnas.org/doi/10.1073/pn… Image
Add the transcriptional and translational compounded error and you have a combinatorial biochemistry problem on every injection.

This is why there is raw sequence data for vax lots in NCBI.
There is no peptide sequence of one of these mRNA libraries in NCBI.
Just smears on gels. Image
This is a highly variable prodrug.
The final drug has never been characterized.

There are 3D structures of protein translated from mRNA transcribed from a DNA construct without m1pU. Not relevant. No m1pU. ImageImage
There are also smeary antibody stained western blots.
Antibody stains are biased toward error free proteins. They don’t tag the mutated ones.

Need to stain everything.
Cell free in vitro TNT to understand glycosylation or PNGase F for removing in vivo glycosylation. More ?s. ImageImage
In summary, no mRNA injection should ever escape lot to lot sequence QC that is sensitive enough to find parts per thousand error. 40T molecules injected means small % error = billions of contaminants.
Protein sequencing of the final drug should be required.
This is why there is NO lot to lot raw sequence data in NCBI.^^^^
To simplify, the error measured by Chen et al, suggests 1 error in every mRNA molecule. Poisson would imply some molecules have 2 and 3 errors and many have zero.

Now imagine you inject 40 Trillion molecules where each one is different.

The combinatorics are mind blowing.
The good news is that folk at BASE are starting to look at this problem with direct RNA sequencing with Oxford Nanopore (ONT). But the m1pUs look foreign to the ONT platform and get called as both a C and a T. It's unlikely this will have the accuracy to pick up 1:1K heteroplasmy Image
The bad news is, this should have been done and made public before injecting 1B people. Its pretty bleeding edge so I can see how it was overlooked but at the minimum ILMN sequencing could have measured the heteroplasmies. Probably need UMIs to discount the cDNA syn error. Image
But now that the camel has its nose in the tent and has feasted on the money machine.. It will be back for more. Image
For those doubting my assessment of the mfg process, BASE spells it out here. Maybe my purity expectations are too high but I'd be anlot less scrupulous if Pfizer/Moderna put any raw sequence live for lot to lot QC. Zero for the vax. Millions for the virus. Image
This preprint monitors the translation fidelity in PseudoU and m1PseudoU.

biorxiv.org/content/10.110… ImageImageImage
Another one. I dont see an email address for this author.
jpands.org/vol27no2/hatfi…
One reason I don’t like the lemons into lemonade comment in this paper…
It speaks to sloppy translation perhaps being a good defense against variants.

That’s a very sloppy way to achieve a goal and may come with risks.
Consider this paper. RNA-Roulette

biorxiv.org/content/10.110…
If anyone has spare cycles, it would be helpful to calculate the Amino Acid edit distance of The vax Amino Acids to human amino acids in all 6 reading frames. This would give us a framework of the autoimmune risk of these synthesis errors.
The EMA leak has a lot to say about RNA integrity loss during manufacturing scale up.

If I had to guess,
Nucleotide purity probably played a role. It’s hard to scale up the synthesis of modified nucleotides and the polymerases don’t like to incorporate them. They stall. ImageImage
Particularly at long tracks of U.
PolyU incorporation it pure N1 methyl pseudoU could create polymerase stall points and truncated mRNA.

But RNA integrity numbers also include mRNAs that are too long so one can’t assume it’s only truncated mRNA.

childrenshealthdefense.org/defender/europ…

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More from @Kevin_McKernan

Mar 22
.@USMortality is sending letters to my employer trying to claim I doxxed him but spelled his name wrong?

That got a chuckle or two.

But at least we know he’s the cancel culture type that got @MartinKulldorff fired.

Stay away from this fraud.
I’m going to guess the reason he/it doesn’t want his name correctly spelled as it might risk his employment if people figured out who Ben M is.

But he’s just fine sending in complaints to other people’s employers.

Funny how that works.
Of course…
His actual name is public so the doxxing claim is pure BS.

threadreaderapp.com/thread/1383894…
Image
Read 5 tweets
Mar 22
There are some interesting comments in this piece.
Before I address the genetic fallacy.. Image
Let’s just reflect on how far the goal posts have moved. Image
Read 5 tweets
Mar 8
Doah
217 Jabs....Oh my....Go get your 10th from the CDC Image
No sign of BioNtech Spike sequence in their data.
tinyurl.com/w46vuu4y
For those not aware.

Hanna et al found it in Breast milk 5 days later
Krauson found it in heart milk issue 30 days later
Castruita found it in plasma 28 days later
Gonzalez found it in Placenta 10 days later.

But 217 jab pin cushion had none!
Read 4 tweets
Feb 23
That was hard to pack into 10 minutes.
I made one error.
The PFUFA act of 1992 allows the FDA to be funded by Pharma.

I said Pharma to be funded by Pharma which is nonsensical.
Sorry for the error.

Also the qPCR data was replicated by @DJSpeicher. Lead author of the preprint.
Just keep in mind, the PCR data in the cell lines is solid as we’re using assays we know work and sequencing shows it’s there.

The integrations need replication and validation.

We have 2+ unique reads for each event. But we don’t have both junctions covered.
Need to sequence deeper and with longer reads and it’s need to be replicated by others.

We did not find these in the unvaxxed control OvCar3 samples.

The odds of this being chimeric ligation at the same base in the Illumina library prep is 1 in 3 billion.
There is a possibility it is chromothripsis where the genome is shattered in cancer and the chimeric reads are extrachromosomal.
Hence longer reads are required to pin this down.
Read 4 tweets
Feb 22
Calling all genomics Jocks.

We sequenced vax treated OvCar3 cell lines that were washed and passaged such that the vaccine was diluted out and only cells with DNA inside are present.
Our collaborators who did this work also stained for spike expression.
60% of cells are positive for spike with IHC
We qPCRd these cells for spike,SV40 and Ori in bulk.
Not single cell measurement.
Positive with CTs similar to human RNAP.

We performed whole genome sequencing.
The entire vax plasmid can be reassembled at 3,000X coverage (Top Track). Image
This is at 30X coverage of the human genome so 100x higher coverage for the plasmid than the human genome?

As a control we also sequenced the vax alone.
It’s at 44,000X coverage.

You can see the left side of the IGV view has no SNPs. That’s the vector.
The spike has SNPs
Read 16 tweets
Feb 18
I’ve been a bit busy with other projects to weigh in much on the absurdities circulating.

The latest counter factual is that man modified genomes can’t spread.
Argument given is an appeal to complexity

These arguments are coming from an Aspergillus ‘expert’ with a shady history
Anyone versed in Aspergillus must know about AF36 and Afla-Guard.

This is a point mutation that knocks out the aflatoxin producing genes and is used on crops to outcompete wildtype mycotoxin producing Aspergillus flavus. Image
So there is an entire Agriculture industry built around man modified biocontrol agents that are used to occupy a niche and outcompete wild strains since 2004.

So it’s very bizarre to have an Aspergillus ‘expert’ make such counter factual points.

azcotton.org/af36program.ht…
Read 13 tweets

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