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Dr. Ezekiel Emanuel, an American oncologist and bioethicist who is senior fellow at the Center for American Progress as well as Vice Provost for Global Initiatives at the University of Pennsylvania and chair of the Department of Medical Ethics and Health Policy, said on MSNBC on Friday, March 20, that Tesla and SpaceX CEO Elon Musk told him it would probably take 8–10 weeks to get ventilator production started at his factories (he’s working on this at Tesla and SpaceX).

I reached out to Musk for clarification on that topic and he replied that, “We have 250k N95 masks. Aiming to start distributing those to hospitals tomorrow night. Should have over 1000 ventilators by next week.” With medical supplies such as these being one of the biggest bottlenecks and challenges at the moment in the COVID-19 response in the United States (as well as elsewhere) — something that is already having a very real effect on medical professionals and patient care — the support will surely be received with much gratitude. That said, while there has been much attention put on the expected future need for ventilators, very few places reportedly have a shortage of them right now. In much greater need at the moment are simpler supplies like N95 masks, which must be why Tesla/SpaceX is providing 250,000 of them.

Dr. Emanuel also said in the segment of MSNBC’s “Morning Joe” he was on that we probably need 8–12 weeks (2–3 months) of social distancing in the US in order to deal with COVID-19 as a society. However, he also expects that the virus will come back and we’ll basically have a roller coaster of “social restrictions, easing up, social restrictions, easing up … to try to smooth out the demand on the health care system.”

Josie Golding, Ph.D., who is the epidemics lead at the Wellcome Trust, a research charity based in London, United Kingdom, did not participate in the study but comments on its significance.

She says the findings are “crucially important to bring an evidence-based view to the rumors that have been circulating about the origins of the virus (SARS-CoV-2) causing COVID-19.”

“[The authors] conclude that the virus is the product of natural evolution,” Goulding adds, “ending any speculation about deliberate genetic engineering.”

Numbers don’t lie, they say. And the numbers show that, as with other life sciences and biotech fields, the number of women in leadership positions in the synthetic biology space is disappointingly low. Last year, I reported that only 14% of the 236 synthetic biology companies I surveyed were led by women. I think most people would agree this is a serious issue — and that something needs to be done about it. But all too often, well-meaning, proactive efforts fizzle out before they have a chance to make a real impact. Why?

I think one of the biggest problems lies in what the numbers can’t show us. The numbers can’t help us understand what it is like, day in and day out, to be a woman in a space where your authority, expertise, and qualifications are constantly questioned. The numbers can’t help us feel the sadness, anger, and frustration facing many women in synthetic biology. The numbers don’t adequately describe what it is really like to be a woman in synthetic biology, so for those that aren’t a woman in synthetic biology, the problem is easily forgotten, or assumed to be taken care of by, who else, the women in synthetic biology.

To put some emotion and empathy behind the numbers — rather than distance and apathy — I recently reached out to several leading women in the synthetic biology space for their stories. In their own, non-sugar coated words, here’s what’s it’s really like to be a woman in synthetic biology. I hope you are as inspired by their stories as I am.

I know some have speculated that the Coronavirus was engineered:

An analysis of public genome sequence data from SARS-CoV-2 and related viruses found no evidence that the virus was made in a laboratory or otherwise engineered.


The novel SARS-CoV-2 coronavirus that emerged in the city of Wuhan, China, last year and has since caused a large scale COVID-19 epidemic and spread to more than 70 other countries is the product of natural evolution, according to findings published today in the journal Nature Medicine.

The analysis of public genome sequence data from SARS-CoV-2 and related viruses found no evidence that the virus was made in a laboratory or otherwise engineered.

“By comparing the available genome sequence data for known coronavirus strains, we can firmly determine that SARS-CoV-2 originated through natural processes,” said Kristian Andersen, PhD, an associate professor of immunology and microbiology at Scripps Research and corresponding author on the paper.

Stanford researchers have developed a technique that reprograms cells to use synthetic materials, provided by the scientists, to build artificial structures able to carry out functions inside the body.

“We turned cells into chemical engineers of a sort, that use materials we provide to construct functional polymers that change their behaviors in specific ways,” said Karl Deisseroth, professor of bioengineering and of psychiatry and , who co-led the work.

In the March 20 edition of Science, the researchers explain how they developed genetically targeted chemical assembly, or GTCA, and used the new method to build on mammalian brain cells and on neurons in the tiny worm called C. elegans. The structures were made using two different biocompatible materials, each with a different electronic property. One material was an insulator, the other a conductor.

Now, in an important new resource for the scientific community published today in Nature Biotechnology, researchers in the lab of Neville Sanjana, PhD, at the New York Genome Center and New York University have developed a new kind of CRISPR screen technology to target RNA.

The researchers capitalized on a recently characterized CRISPR enzyme called Cas13 that targets RNA instead of DNA. Using Cas13, they engineered an optimized platform for massively-parallel genetic screens at the RNA level in human cells. This screening technology can be used to understand many aspects of RNA regulation and to identify the function of non-coding RNAs, which are RNA molecules that are produced but do not code for proteins.

By targeting thousands of different sites in human RNA transcripts, the researchers developed a machine learning-based predictive model to expedite identification of the most effective Cas13 guide RNAs. The new technology is available to researchers through an interactive website and open-source toolbox to predict guide RNA efficiencies for custom RNA targets and provides pre-designed guide RNAs for all human protein-coding genes.

Although the majority of the synthetic biology market is concentrated in North America and Europe, the synthetic biology landscape is growing worldwide — with some of the fastest growing areas developing outside of the United States. There are several hotspots — formed when innovation at one company or university lab sparks new spinoffs — that synthetic biology followers should pay close attention to in the coming months and years.

The United Kingdom and Ireland

Among non-US hotspots for synthetic biology, the United Kingdom stands out. While most US universities still lack programs in synthetic biology, they are not hard to come by in the UK. Imperial College London, the University of Warwick, Cambridge University, and the University of Edinburgh are all particularly noteworthy for the depth and breadth of synthetic biology research. And, OpenPlant, a joint initiative between the University of Cambridge, John Innes Centre, and the Earlham Institute, is advancing synthetic biology by engineering the next generation of DNA tools for “smart” crop breeding systems.

Google the word “jugaad,” and you’ll find a plethora of results, from simple dictionary definitions to advice that Western companies should adopt it as part of their practices. Jugaad — a colloquial Hindi, Bengali, and Punjab word — simply means “hack,” and captures the pervasive Indian spirit of finding a low-cost — and sometimes quite resourceful — solution to any problem. If this word doesn’t make one think of entrepreneurship, I don’t know what does.

Indeed, the small-scale biotech facilities scattered all across India, offering products with extremely high adoption rates such as microbial-based biofertilizers, capture the essence of jugaad. In India, finding solutions to the problems at hand is very natural, a way of life, essentially — and any solution, especially an economically sensible one, will be readily adopted. With such a pervasive ideal, India seems like the perfect setting for synthetic biology and biotech-based innovation.

Life is rife with patterns. It’s common for living things to create a repeating series of similar features as they grow: think of feathers that vary slightly in length on a bird’s wing or shorter and longer petals on a rose.

It turns out the brain is no different. By employing advanced microscopy and mathematical modeling, Stanford researchers have discovered a pattern that governs the growth of brain cells or . Similar rules could guide the development of other cells within the body, and understanding them could be important for successfully bioengineering artificial tissues and organs.

Their study, published in Nature Physics, builds on the fact that the brain contains many different types of neurons and that it takes several types working in concert to perform any tasks. The researchers wanted to uncover the invisible growth patterns that enable the right kinds of neurons to arrange themselves into the right positions to build a brain.