Synthetic biology research reveals key trends and organisations

Сell_structure-synthetic-biology-G-158877265-1 Synthetic biology is one of the newest and fastest growing fields in the scientific realm—with applications across chemicals, pharma, energy and agriculture (among others). The global market size is expected to reach $38.7 billion by 2020. It is the textbook definition of a rising tide. 

This promising field can be described using a manufacturing-based extended metaphor, which I find quite apt:  

There’s the physical space or factory in which processes occur (the cell); there’s the production line which processes the materials introduced to the factory (cell signalling and pathways); there are the materials of input to the production line (feedstock and energy source) and the materials of output by it (pathway products); and there’s the machinery used to engineer this series of activities (enabling tech, e.g. microfluidics and bioreactors).

While I’m aware the definition of “synthetic biology” is in flux—spanning everything from genetic engineering to synthetic chemistry—I think this conceit encapsulates meaningfully the fundamentals of the field. Crucially, it provides a good conceptual framework for analysis of trends in patents relating to synthetic biology. 

This metaphor tells us synthetic biology involves:

  • Biological objects
  • Cellular infrastructure guiding the behaviours of these biological objects
  • Stimulation of these biological objects
  • Responses by these biological objects
  • Instruments for the manipulation of these biological objects and their environments (internal and external)

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Synthetic Biology Patent LandscapeOverview of the synthetic biology patent landscape (Source: PatSnap platform)

I recently completed a report which analyses patent data relating to synthetic biology. The full 30-page report, which gives an overview of innovation trends in the broad field and within the components outlined above, comprises four parts:

  1. Synthetic biology overview
  2. Knowledge generation in synthetic biology
  3. Enabling technologies in synthetic biology
  4. Applications of synthetic biology 

This article summarises some of the key findings from the full report. 

But why use patent data in this way? There are 100s of millions of (active and inactive) patent documents in existence today. Data points within patent documents can reveal important R&D and commercial insights. Data such as where these patents are being filed (geographically), by whom, in which technology areas, at what pace, to what end… and much more. 

If you’d like to read more, this peer-reviewed paper by MIT scientists explains the power of patent data to forecast technological development.

But, for now, let’s dive into some of the trends that emerge when we analyse patents relating to synthetic biology. If you’d like to learn how we selected patents falling into the field of synthetic biology and access all analyses, download the free 30-page report on which this article is based.

Major trends in synthetic biology: microfluidics, universities and China on the up 

My combined search on the entire synbio landscape yielded 24,070 total INPADOC patent family representatives (72,999 total patent docs). Of these, 6226 belong to an academy, 13,648 belong to a company, 5309 belong to a person and 548 belong to a government.

The rate of innovation (as signalled by patent filings) appears to be growing, but not at the blistering pace we might observe in other fields, such as blockchain or drones. It does take up to 18 months before patent filings are publicly disclosed, so the data we’re looking at is complete only up till 2016. We may yet see the 2016 and 2017 filing numbers grow.

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Synthetic Biology Innovation RateCombined patent filing rate across all areas of synthetic biology (Source: PatSnap platform)

Of these patent owners, the top companies—based on size of patent portfolio—are:

  1. University of California (472 patents)
  2. Novozymes (343 patents)
  3. Harvard University (301 patents)
  4. Massachusetts Institute of Technology (189 patents)
  5. Agilent Technologies (167 patents)
  6. Samsung Electronics (165 patents)
  7. Centre National de la Recherche Scientifique aka The French National Centre for Scientific Research (132 patents)
  8. California Institute of Technology (112 patents)
  9. Philips (108 patents)
  10. Scripps Research Institute (107 patents) 

1013_Synthetic_Biology_CTA_eBook_Cover_V_v30Download the free eBook, “Synthetic Biology Innovation Report: Breakthroughs, Enabling Technologies and Key Trends”. This 30-page report comprises a synthetic biology overview, and analyses of knowledge generation, enabling technologies, and applications of synthetic biology.


The overrepresentation of academic institutions in the top 10 list, despite the relatively small share of overall synbio patents held in academia, is not too surprising. While universities may not be volume dealers, they certainly seem to pioneer the most ground-breaking technologies—from CRISPR to synthetic artemisinin. If we zoom into the synbio patents owned by the University of California, we see they mostly fall under the following International Patent Classifications (IPCs):

  • C12Q1/68. Involving nucleic acids (99 patents)
  • B01L3/00 Containers or dishes for laboratory use (74 patents)
  • C12N5/10. Cells modified by introduction of foreign genetic material, e.g. virus-transformed cells (42 patents)

IPCs are good proxies for understanding the technological areas into which patented inventions fall. 

The most dominant terms within the University of California’s patents are “nucleic acid”, “microfluidic device”, “plant”, “synthetic”, “DNA”. And some of the most recurring phrases are “microorganism engineered to produce”, “potential for controlled microfluidic pumping” and “squamous cell carcinoma”

Trends in the University of California’s patent portfolio are somewhat reflective of those in the entire industry. The top IPCs at that level are:

  • C12N15 Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors; Use of hosts therefor (mutants or genetically engineered micro-organisms); use of medicinal preparations containing genetic material which is inserted into cells of the living body to treat genetic diseases, gene therapy
  • C12Q1 Measuring or testing processes involving enzymes or micro-organisms
  • B01L3 Containers or dishes for laboratory use; apparatus for enzymology or microbiology C12M 1/00); Droppers (receptacles for volumetric purposes G01F)
  • C12N5 Undifferentiated human, animal or plant cells; Culture media therefor

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Top IPCs SynBio PatentsTop IPCs into which synthetic biology patents fall, with volume of patents filed per year illustrated by bubble size (Source: PatSnap platform)

When we zoom into the area of enabling technologies for synthetic biology, we find the rate of innovation is growing—with an all-time high of 1041 patents published in 2016. We expect the numbers for 2016 and 2017 to rise even more. Microfluidics is a booming area, with the market expected to reach a value of $13.9bn by 2025—no surprise University of California is getting involved. 

Hewlett Packard (HP) only recently began accelerating filings in this area. In fact, filings in 2018, so far, have already exceeded filings in any other year. HP is an established innovator in printer technology (one of the popular application areas for microfluidics), so its appearance isn’t necessarily surprising. However, my patent search query is limited to synthetic biology, so the trends we’re seeing don’t only reflect HP’s familiarity with printers—they also reflect its exploration of life sciences. 

The company wants to apply its microfluidics technologies in adjacent life sciences markets.

HP Labs researcher, Anita Rogacs, explains: 

“…at the heart of every HP printer is a very sophisticated microfluidic chip able to manipulate fluids with a performance unparalleled to almost any other industrial solution today… And microfluidics is one of the most exciting areas in the life sciences at present because it affords an opportunity for decentralization and automation of the biochemical and analytical processes associated with diagnostics, testing, and screening.” 

Some smaller, yet revolutionary, companies that are new on the synthetic biology landscape include:

  1. Twist Bioscience (founded 2013)
  2. Emulate, Inc. (founded 2014)
  3. DNA Script (founded 2014)

Twist BioScience says it “makes high-quality gene synthesis, oligo pools, exome, NGS target enrichment, variant libraries and other synthetic DNA tools” for genome editing, drug discovery, DNA data storage and more.

Emulate recreates for cells artificial environments akin to those in which they would exist within the body. This helps researchers more accurately predict how a human may respond to diseases, medicines, chemicals and foods—sans actual human testing. This promises to revolutionise bioscience beyond current limitations of cell culture and animal-based testing.  

DNA Script says its “technology overcomes the current inefficiencies of synthetic DNA production, and enable[s] affordable, rapid, high-quality and high throughput production of synthetic biology tools, such as oligonucleotides, genes, pathways and genomes.” The company recently raised €11m in a Series A funding round led by Illumina Ventures and Merck Ventures.

How many more cross-industry applications exist in the world of synthetic biology? Who are the unexpected competitors or collaborators? Which revolutionary technologies are still at an embryonic stage? And what did we uncover about the US-China dynamic? Download the free 30-page report to learn all this and more.

Download the 4-part synthetic biology innovation report 

PatSnap's Synthetic Biology Innovation Report