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Cool! Has anything similar been attempted in tumor tissue, given the many claims of microbes in tumors? Especially tumors not in contact with the exterior.


As far as I know, most of the tumor microbiome claims haven't held up very well. For example, the 2020 Nature paper "Microbiome analyses of blood and tissues suggest cancer diagnostic approach" was retracted this past year [1].

Given the ease of contamination of tissues (and databases), I tend to be pretty skeptical of tumor microbiome claims -- especially the wide-ranging claims of microbes being present in all tumors.

[1] https://www.nature.com/articles/s41586-024-07656-x


And further down: ” Contributions

J.J. and D.H. led the research. J.J., R.E., A. Pritzel, M.F., O.R., R.B., A. Potapenko, S.A.A.K., B.R.-P., J.A., M.P., T. Berghammer and O.V. developed the neural network architecture and training. T.G., A.Ž., K.T., R.B., A.B., R.E., A.J.B., A.C., S.N., R.J., D.R., M.Z. and S.B. developed the data, analytics and inference systems. D.H., K.K., P.K., C.M. and E.C. managed the research. T.G. led the technical platform. P.K., A.W.S., K.K., O.V., D.S., S.P. and T. Back contributed technical advice and ideas. M.S. created the BFD genomics database and provided technical assistance on HHBlits. D.H., R.E., A.W.S. and K.K. conceived the AlphaFold project. J.J., R.E. and A.W.S. conceived the end-to-end approach. J.J., A. Pritzel, O.R., A. Potapenko, R.E., M.F., T.G., K.T., C.M. and D.H. wrote the paper.”


> J.J. and D.H. led the research

Hey, I wonder who these mysterious "J.J." and "D.H." might be?


These people aren't in the "These authors contributed equally" list.


These cells won’t divide because they will fail to replicate their DNA due to the lack of thymidine. The use case is cell therapies, where you give the patient cells grown in the lab but you don’t want those cells to potentially divide and cause cancer. For example, CAR T therapy to treat cancer, or dopaminergic neuron replacement therapy for Parkinson’s disease.


TERT activation is one of the most common alterations causing cancer. In fact, the whole point of the normally very low TERT expression in somatic cells is likely to be cancer prevention. It’s the mechanism behind the Hayflick limit, which puts a bound on the max number of divisions a cell can go through, via telomere shortening. Without such a limit, you get cancer. I highly doubt it will make you live longer.


Sure it likely will. However, it may also get you cancers, for which we'd need to enhance other cancer preventing mechanisms. TERT is essentially a fallback.

Plus perhaps you can have a "rejuvenation session" with TERT instead of boosting it forever. Thing seems like it can work after TAC is no longer being activated for quite some time.

Ultimately though yes, it may increase the number of cells that have already taken multiple hits if multiple hit cancer hypothesis is really true.


Until there is a cure for cancer.


Freezing and thawing organoids is not new, it’s fairly routine. The frozen piece of brain from an epilepsy patient doesn’t retain ”normal function”. There is no evidence in the paper that it integrates into neuronal circuits (this was not even tested), or supports anything like normal neuronal firing. The cells are alive, yes, and likely highly abnormally perturbed.


”The Emperor of all Maladies” by Siddhartha Mukherjee is fantastic


Related: Dijkstra, ”Why numbering should start at zero”

https://www.cs.utexas.edu/users/EWD/transcriptions/EWD08xx/E...


I am a programmer. I numbers strings, lists and arrays from 0. 'Normal' people don't. I asked my wife what the position of the letter 'a' was in 'abc' and she said '1'. When I suggested it was 0 she looked at me like I was insane. Excel FIND() indexes from 1.


None, that was done 100 years ago, e.g. by Ramon y Cajal (Nobel prize 1906). But microscopic detail does not give molecular detail. What these current studies add is data on gene expression (mRNA molecules), chromatin accessibility (related to gene regulation), electrophysiology (in some cases), etc. We need such detail to connect disease genes inferred from genetics to specific brain cell types, for example.


So basically just mapping each individual neuron and all of their connections is almost useless?


No that would be amazing. But we don’t have the technology to map all the connections in large mammalian brains. It was done in the fruitfly just this year: https://www.science.org/doi/10.1126/science.add9330


that is a pretty amazing work


Useless? No, but by today standards it doesn't amount to much. It's like having a low res pic in black and white. It worked alright in the past. That's the point.


Papers are paywalled but most can be found on bioRxiv, e.g. https://www.biorxiv.org/content/10.1101/2022.10.12.511898v1


That’s not a terrible summary of the one paper, but there are 20 more papers. An overview by the Science editor: https://www.science.org/doi/full/10.1126/science.adl0913

The full collection of papers is linked here: https://news.ycombinator.com/item?id=37878935

They are paywalled, but most are available as preprints on bioRxiv, e.g. https://www.biorxiv.org/content/10.1101/2022.10.12.511898v1


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