powabiatch

powabiatch t1_j4h1a8b wrote

There are entire institutions that don’t count Scientific Reports papers in considerations for promotion/graduation. It’s widely seen in my field as a dumping ground for papers that can’t get accepted anywhere else.

That’s not to say that there’s no great papers in there. There are. Just on average not.

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powabiatch t1_j4gn7fg wrote

Scientific Reports is one if the lowest tiers of journals. That doesn’t mean that there isn’t good work that comes out in it, but on average the work is not highly impactful.

This illustrates the disconnect between science and mainstream: the articles that are exciting to researchers rarely make it to the mainstream, whereas less interesting work to researchers often make it to the press based on an exciting title.

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powabiatch t1_ivfr1li wrote

By now we have hundreds of thousands of people’s full (whole genome) DNA sequences. Iceland alone has a project to sequence its population, for example. Many cancer sequencing projects sequence normal tissue as well.

Human DNA is so similar it’s enough to publish a few genomes and then simply annotate the differences (e.g. single nucleotide polymorphisms). All major genome webportals include these data.

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powabiatch t1_iu30406 wrote

While there are drugs that target epigenetic regulators (e.g. Ezh2 inhibitors), it’s not clear yet how the new data would take advantage of them (if they can at all). While some of these drugs have shown promise, all of them have some drawbacks because they affect so many genes, often leading to unwanted toxicities. But hopefully this type of new data may help refine when to use which epigenetic drugs in which combinations.

Even so, epigenetic drugs may not always be the best answer to epigenetic dysregulation in cancer cells - remains to be seen though.

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powabiatch t1_iu1zggb wrote

Directly? Probably not much.

But indirectly, it can change the way other researchers approach their projects - by more carefully paying attention to epigenetic marks etc and changing the way they might model their hypotheses. It also has implications about the evolution of drug resistance, metastasis, and more. So I think this will help more researchers appreciate and incorporate non-genomic mechanisms in their thoughts - many already do, of course, but more would be better.

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powabiatch t1_iu14nf6 wrote

What’s novel is that the papers attribute cell-to-cell variation within a tumor to a larger degree of epigenetic regulation compared to genetic variation (i.e. mutations) than previously demonstrated. In other words, cells that look and behave different from each other within the same tumor are less so as a product of different mutations, than as a function of their epigenetic “plasticity” - suggesting more than previously shown that cells can readily change their phenotype without necessarily changing their genotype.

Which, some of us already thought so… but these papers use large datasets and brand new technology to measure it more finely than anyone has before.

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