Integration into the genome... yet. They need long read Whole genome sequencing to prove that which Im sure is currently underway. Rudi showed it was integrated but was critiqued that it could be an artifact of making sequencing libraries. This paper fills in many questions.
The study was well controlled with RNAse confirmation that the target is in fact DNA and not RT of RNA.
Team "Scientific Censorship" has a lot of explaining to do. Many people on this team were vocal opponents of the CRISPR baby experiments run in China. Now they are guilty of
Advocating such experiments on a billion people. It is amazing how pliable their ethics are with a pinch of fear.
We covered this in our PrePrint with Dr. McCullough. @P_McCulloughMD
In a sane world this would lead to immediate moratorium on mRNA transfections until WGS are complete.
We are no longer in a sane world and you should take protection into your own hands osf.io/bcsa6/
You can find them at the below link on the bioRxiv preprint.
A good question from a fellow cat...
When will Whole Genome Sequence Moon?
I think they will need long read sequencing to sort out LINE-1 integration. That usually requires >100ng of DNA.
Human genome is 6pg so 10,000-100,000 cells of DNA are needed to sequence.
Each cell is unlikely to carry integrations in the same location of the genome. So they can't use consensus sequencing (ensemble of all 10,000 cells DNA sequencing) to sort it out. PacBio HiFi sequencing can deliver 150Gb in a single flow cell or 50X coverage per flow cell
More recent studies are pushing this number down to 5ng for PacBio, so they maybe able to get away with 1,000 cells. pacb.com/wp-content/upl…
This might require multiple flow cells. 10 would give you 500X. Either way, this could be over $25K in sequencing but the accuracy of the HiFi reads means each 20Kb read is as good as Sanger sequencing but 30X longer and better for mapping in LINE-1 regions.
They improve at a faster than Moore's law rate and they may be able to better speak to current yields. Will need to be done in those Huh7 cell lines and ultimate in patient biopsies. @PacBio pacb.com/wp-content/upl…
I did leave a comment in Rudi preprint that suggested DNAse and RNAse controls.
It had some push back.
The DNAse and RNAse experiments we just done on BNT162b2 and further move this from conspiracy towards Fact.
Before we get overly focused on Integration….
We should pause to realize this paper has data that should concern us today.
The paper demonstrates vax induced elevated LINE-1 expression.
It is worth reading the Back and Forth on the Jaenisch labs paper (Zhang et al).
They suggest integration with the virus is 2-5 integrations per 10,000 cells.
While a helpful high school version of biology,
Her statement about the 100% unidirectional nature of DNA was put to bed decades ago when we sequenced the human genome and found 8% of it coded for HERVs.
Most cell biologists also understand that when cells divide the nuclear envelope dissolves allowing cytosolic RNA and DNA to enter the nucleus.
In true form, the journalist never links to the paper.
Did you not realize that?
If you go digging for it, you’ll see it’s a non peer reviewed study designed to never find a 1:5000 event like myocarditis.
But one person died 4 days after vax and they chalked it up as coincidence.
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.
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.