Skip to main content

The Dance of Life - Magdalena Zernicka-Goetz and Roger Highfield ****

There is without doubt a fascination for all of us - even those who can find biology a touch tedious - with the way that a tiny cellular blob develops into the hugely complex thing that is a living organism, especially a human. In this unusual book which I can only describe as a memoir of science, Magalena Zernicka-Goetz, assisted by the Science Museum's Roger Highfield, tells the story of her own career and discoveries.

At the heart of the book, and Zernicka-Goetz's work, is symmetry breaking, a topic very familiar to readers of popular physics titles, but perhaps less so in popular biology. The first real breakthrough from her lab was the discovery of the way that a mouse egg's first division was already asymmetrical - the two new cells were not identical, not equally likely to become embryo and support structure as had always been thought.  As the book progresses, throughout the process of development we see how different symmetries are broken, with a particular focus on mammals, producing the different structures we see in a living organism.

We also read a fair amount on chimeras, where cells from different organisms can be combined (causing some dramatic newspaper headlines) and why they are valuable for research, with important and balanced discussion of the ethical limits of human embryo research, plus some fascinating material on effectively creating artificial embryoids. Part of the appeal here is the way that the authors portray the slow and not always steady progress - sometimes under significant attack from opposing scientists - that typifies real science, as opposed to the simplistic picture we often get, particularly from the way what we're taught at school simply delivers the end results without following the way the ideas and experiments have developed through a lot of grunt work.

Although the book is very well written, as someone from a physics background I do find the sheer quantity of things that have to be named a struggle. When I tell people physics is vastly simpler than biology, most non-scientists are non-plussed, but in physics, almost everything matter does can be dealt with using just three particles and two forces. Here, in one page alone, the authors feel the need to tell me about methylation, argenine residues, histones, trophectoderms, CARM1, H3, SOX2, NANOG and pluripotency transcription factors  - and that's by no means an unusual page.

Despite this, though, there was no doubt the book is fascinating. The only reason I've not given it five stars is that I'm not a fan of memoirs. It's not that I want a science book to be impersonal, and I appreciated some insights into Zernicka-Goetz's background (there were interesting parallels in her ingenuity arising from initially doing science under the limitations of working in 1980s Poland with Andre Geim's novel approach based on his early experience in Russia that led to the development of graphene) - but there was far too much autobiographical material for me. I appreciate a lot of readers love this, but I found it got in the way a little. (It was also weird, reading a book with two authors, written in the first person singular.) 

Ultimately, though, this remains a truly remarkable story and a book that deserves a place on any serious science bookshelf.

Hardback:     
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

In Seach of Sea Dragons - Matthew Myerscough ****

It's common advice to would-be authors of narrative non-fiction to open with something dramatic - Matthew Myerscough certainly does this with the story of his being trapped under an avalanche on Snowdon (while his girlfriend, also carried away remains on top of the snow unhurt). It certainly is dramatic, but seemed entirely disconnected from the reason I got the book, which was to read about fossil collecting.  Luckily, though, in the second chapter we get into a more conventional 'how I got interested in fossils as a boy'. Having recently reviewed Patrick Moore's autobiography and noting that astronomy was one of the few sciences where amateurs can still make a contribution, it came to mind that palaeontology is another - Myerscough is a civil engineer by trade, but just as amateur astronomers can find new details in the skies, so amateur fossil hunters have been searching for these relics for centuries. When I give talks in junior schools, the two topics that guarant...

Robot-Proof - Vivienne Ming ****

As Vivienne Ming makes apparent, there seem largely to be two views of AI's pros and cons, both of which are almost certainly wrong. It's either doom-saying 'It'll destroy life as we know it' or Pollyanna-ish 'It'll do all the boring work and we can all be wonderfully creative and live lives of leisure.' Instead, Ming gives us a clear analysis of the likely trajectory for the workplace, particularly for the IT industry. She describes three 'equally flawed, intellectually lazy strategies' to deal with the impact of AI. The first is substitution and deprofessionalisation, using AI to allow cheaper 'AI-augmented technicians' to replace more expensive professionals, producing more low wage jobs and fewer mid-range. This does save money but leaves a company at risk of being easily outcompeted. The second is what Ming describes as the '"A-Player" Hunger Games', the approach favoured by Silicon Valley. This sees the growing rif...