Skip to Content
Uncategorized

Two Kinds of Potential

Writing in Science, South Korean researchers Dr Woo Suk and Dr. Shin Young Moon of Seoul University announced what Gina Kolata at The New York Times calls “a high efficently recipe for producing human embryos through cloning, and then…

Writing in Science, South Korean researchers Dr Woo Suk and Dr. Shin Young Moon of Seoul University announced what Gina Kolata at The New York Times calls “a high efficently recipe for producing human embryos through cloning, and then extracting their stem cells.” It is, in fact, a very significant breakthrough for therapeutic cloning. Stem cells created by therapeutic cloning are exact matches of the donor, and will be used to study the genetic blueprint for certain maddening diseases likes Parkinson’s. Scientists hope therapeutic cloning will one day be used to replace cells destroyed by a variety of genetically implicated diseases.

The Koreans produced no less than 11 stem cell lines from donors that ranged in age from 2 to 56! This is the same research team that produced a single stem cell line from a cloned embryo. This is very, very cool stuff, providing researchers with a new order of tools. In my opinion, therapeutic cloning has more potential to ease human suffering than the biotechnology revolution of the 1970s. But in this country the Korean breakthrough will inevitably be seen through the prism of the debate about “the culture of life”–that is, the political and religious arguments about abortion. The debate is depressing because it is intractable, and life scientists do themselves no favors by pretending otherwise. Human embryos are destroyed in harvesting stem cells from cloned blastocysts (pictured); if one believes (see The New Altantis for a highly intelligent, civilized form of bioconservatism) that the potentiality for human life has the same moral value as the life of a child or adult human, one must necessarily believe that therapeutic cloning is murder.

Technorati tag: stem cells

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.