SynBioFromLeukipposInstitute
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Scooped by Gerd Moe-Behrens
March 8, 2017 8:03 AM
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Future of the Genetic Code

The methods for establishing synthetic lifeforms with rewritten genetic codes comprising non-canonical amino acids (NCAA) in addition to canonical amino acids (CAA) include proteome-wide replacement of CAA, insertion through suppression of nonsense codon, and insertion via the pyrrolysine and selenocysteine pathways. Proteome-wide reassignments of nonsense codons and sense codons are also under development. These methods enable the application of NCAAs to enrich both fundamental and applied aspects of protein chemistry and biology. Sense codon reassignment to NCAA could incur problems arising from the usage of anticodons as identity elements on tRNA, and possible misreading of NNY codons by UNN anticodons. Evidence suggests that the problem of anticodons as identity elements can be diminished or resolved through removal from the tRNA of all identity elements besides the anticodon, and the problem of misreading of NNY codons by UNN anticodon can be resolved by the retirement of both the UNN anticodon and its complementary NNA codon from the proteome in the event that a restrictive post-transcriptional modification of the UNN anticodon by host enzymes to prevent the misreading cannot be obtained.
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Scooped by Gerd Moe-Behrens
March 7, 2017 6:21 PM
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The Biotech Futures Talk + Lab Series Part II

The Biotech Futures Talk + Lab Series Part II | SynBioFromLeukipposInstitute | Scoop.it
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March 7, 2017 1:04 PM
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Antibiotics v2.0: computational and synthetic biology approaches to combat antibiotic resistance

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March 6, 2017 5:47 PM
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Using Synthetic Biology to Engineer Membrane Proteins

Using Synthetic Biology to Engineer Membrane Proteins | SynBioFromLeukipposInstitute | Scoop.it
Synthetic DNA is changing the way research is performed, allowing scientists to focus on performing their experiments and accelerating their discoveries.
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March 6, 2017 9:47 AM
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Genome editing in Clostridium saccharoperbutylacetonicum N1-4 using CRISPR-Cas9 system

Clostridium saccharoperbutylacetonicum N1-4 is well known as a hyper-butanol-producing strain. However, the lack of genetic engineering tools hinders further elucidation of its solvent production mechanism and development of more robust strains. In this study, we set out to develop an efficient genome engineering system for this microorganism based on the CRISPR-Cas9 system. First, the functionality of the CRISPR-Cas9 system previously customized for C. beijerinckii was evaluated in C. saccharoperbutylacetonicum by targeting on pta and buk, two essential genes for acetate and butyrate production, respectively. The pta, buk single deletion, and the pta and buk double deletion mutants were successfully obtained based on this system. However, the genome engineering efficiency was rather low (the mutation rate is < 20%). Therefore, the efficiency was further optimized by evaluating various promoters for the gRNA expression. With promoter P J23119 , we achieved a mutation rate of 75% for pta deletion without serial subculturing as suggested previously for C. beijerinckii Thus, this developed CRISPR-Cas9 system is highly desirable for efficient genome editing in C. saccharoperbutylacetonicum Batch fermentation results revealed that both the acid and solvent production profiles were altered due to the disruption of acid production pathways, however neither acetate nor butyrate production was eliminated with the deletion of the corresponding gene. The butanol production, yield and selectivity were improved in mutants dependent on the fermentation medium. In the pta-buk double deletion mutant, the butanol production reached 19.0 g/l in P2 medium, which is one of the highest among the ever reported from batch fermentations.IMPORTANCE An efficient CRISPR-Cas9 genome engineering system was developed for C. saccharoperbutylacetonicum N1-4. This paves the way for elucidating the solvent production mechanism in this hyper-butanol-producing microorganism and developing strains with desirable butanol-producing features. This tool can be easily adapted for use in other close relative microorganisms. As also reported by others, here we demonstrated with solid data that the highly efficient expression of gRNA is the key factor determining the efficiency of CRISPR-Cas9 for genome editing. The protocol developed in this study can provide essential references for other researchers who work in the metabolic engineering and synthetic biology area. The developed mutants can be used as excellent starting strains for development of more robust ones for desirable solvent production.
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March 4, 2017 8:56 AM
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Rational design of inducible CRISPR guide RNAs for de novo assembly of transcriptional programs

Rational design of inducible CRISPR guide RNAs for de novo assembly of transcriptional programs | SynBioFromLeukipposInstitute | Scoop.it
CRISPR-based transcription regulators (CRISPR-TRs) have transformed the current synthetic biology landscape by allowing specific activation or repression of any target gene. Here we report a modular and versatile framework enabling rapid implementation of inducible CRISPR-TRs in mammalian cells. This strategy relies on the design of a spacer-blocking hairpin (SBH) structure at the 5′ end of the single guide RNA (sgRNA), which abrogates the function of CRISPR-transcriptional activators. By replacing the SBH loop with ligand-controlled RNA-cleaving units, we demonstrate conditional activation of quiescent sgRNAs programmed to respond to genetically encoded or externally delivered triggers. We use this system to couple multiple synthetic and endogenous target genes with specific inducers, and assemble gene regulatory modules demonstrating parallel and orthogonal transcriptional programs. We anticipate that this ‘plug and play’ approach will be a valuable addition to the synthetic biology toolkit, facilitating the understanding of natural gene circuits and the design of cell-based therapeutic strategies.
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March 3, 2017 7:16 AM
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Methods to Synthesize Large DNA Fragments for a Synthetic Yeast Genome

De novo DNA synthesis is one of the key enabling technologies for synthetic biology. Methods for large-scale DNA synthesis, in particular, have transformed many facets of life science research, supporting new discoveries in biology through the design of novel synthetic biological systems. This protocol describes in detail the methods currently being used to synthesize and assemble large pieces of DNA for the synthetic yeast genome project. The protocol includes instructions for building block synthesis as well as chunk assembly, each of which can be used as a stand-alone procedure to generate a synthetic DNA of interest.
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Scooped by Gerd Moe-Behrens
March 2, 2017 4:40 PM
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DNA Fountain enables a robust and efficient storage architecture

DNA is an attractive medium to store digital information. Here, we report a storage strategy, called DNA Fountain, that is highly robust and approaches the information capacity per nucleotide. Using our approach, we stored a full computer operating system, movie, and other files with a total of 2.14×106 bytes in DNA oligos and perfectly retrieved the information from a sequencing coverage equivalent of a single tile of Illumina sequencing. We also tested a process that can allow 2.18×1015 retrievals using the original DNA sample and were able to perfectly decode the data. Finally, we explored the limit of our architecture in terms of bytes per molecules and obtained a perfect retrieval from a density of 215Petabyte/gram of DNA, orders of magnitudes higher than previous techniques.

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Scooped by Gerd Moe-Behrens
March 2, 2017 3:56 PM
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A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing | SynBioFromLeukipposInstitute | Scoop.it
A neuromorphic device based on the stable electrochemical fine-tuning of the conductivity of an organic ionic/electronic conductor is realized. These devices show high linearity, low noise and extremely low switching voltage.
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Scooped by Gerd Moe-Behrens
March 1, 2017 3:25 PM
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Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA

Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA | SynBioFromLeukipposInstitute | Scoop.it
The theory of computer science is based around universal Turing machines (UTMs): abstract machines able to execute all possible algorithms. Modern digital computers are physical embodiments of classical UTMs. For the most important class of problem in computer science, non-deterministic polynomial complete problems, non-deterministic UTMs (NUTMs) are theoretically exponentially faster than both classical UTMs and quantum mechanical UTMs (QUTMs). However, no attempt has previously been made to build an NUTM, and their construction has been regarded as impossible. Here, we demonstrate the first physical design of an NUTM. This design is based on Thue string rewriting systems, and thereby avoids the limitations of most previous DNA computing schemes: all the computation is local (simple edits to strings) so there is no need for communication, and there is no need to order operations. The design exploits DNA's ability to replicate to execute an exponential number of computational paths in P time. Each Thue rewriting step is embodied in a DNA edit implemented using a novel combination of polymerase chain reactions and site-directed mutagenesis. We demonstrate that the design works using both computational modelling and in vitro molecular biology experimentation: the design is thermodynamically favourable, microprogramming can be used to encode arbitrary Thue rules, all classes of Thue rule can be implemented, and non-deterministic rule implementation. In an NUTM, the resource limitation is space, which contrasts with classical UTMs and QUTMs where it is time. This fundamental difference enables an NUTM to trade space for time, which is significant for both theoretical computer science and physics. It is also of practical importance, for to quote Richard Feynman ‘there's plenty of room at the bottom’. This means that a desktop DNA NUTM could potentially utilize more processors than all the electronic computers in the world combined, and thereby outperform the world's current fastest supercomputer, while consuming a tiny fraction of its energy.
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March 1, 2017 12:36 PM
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Physical, Chemical, and Metabolic State Sensors Expand the Synthetic Biology Toolbox for Synechocystis sp. PCC 6803

Many under-developed organisms possess important traits that can boost the effectiveness and sustainability of microbial biotechnology. Photoautotrophic cyanobacteria can utilize the energy captured from light to fix carbon dioxide for their metabolic needs while living in environments not suited for growing crops. Various value-added compounds have been produced by cyanobacteria in the laboratory; yet, the products' titers and yields are often not industrially relevant and lag behind what have been accomplished in heterotrophic microbes. Genetic tools for biological process control are needed to take advantage of cyanobacteria's beneficial qualities, as tool development also lags behind what has been created in common heterotrophic hosts. To address this problem, we developed a suite of sensors that regulate transcription in the model cyanobacterium Synechocystis sp. PCC 6803 in response to metabolically relevant signals, including light and the cell's nitrogen status, and a family of sensors that respond to the inexpensive chemical, L-arabinose. Increasing the number of available tools enables more complex and precise control of gene expression. Expanding the synthetic biology toolbox for this cyanobacterium also improves our ability to utilize this important under-developed organism in biotechnology.
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February 28, 2017 12:53 PM
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Application of microelectronics CAD tools to synthetic biology

Synthetic biology is an emerging science that aims to create new biological functions that do not exist in nature, based on the knowledge acquired in life science over the last century. Since the beginning of this century, several projects in synthetic biology have emerged. The complexity of the developed artificial bio-functions is relatively low so that empirical design methods could be used for the design process. Nevertheless, with the increasing complexity of biological circuits, this is no longer the case and a large number of computer aided design softwares have been developed in the past few years. These tools include languages for the behavioral description and the mathematical modelling of biological systems, simulators at different levels of abstraction, libraries of biological devices and circuit design automation algorithms. All of these tools already exist in other fields of engineering sciences, particularly in microelectronics. This is the approach that is put forward in this paper.
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February 28, 2017 12:50 PM
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Fragmentation of the CRISPR-Cas Type I-B signature protein Cas8b

CRISPR arrays are transcribed into long precursor RNA species, which are further processed into mature CRISPR RNAs (crRNAs). Cas proteins utilize these crRNAs, which contain spacer sequences that can be derived from mobile genetic elements, to mediate immunity during a reoccurring virus infection. Type I CRISPR-Cas systems are defined by the presence of different Cascade interference complexes containing large and small subunits that play major roles during target DNA selection.
METHODS:
Here, we produce the protein and crRNA components of the Type I-B CRISPR-Cas complex of Clostridium thermocellum and Methanococcus maripaludis. The C. thermocellum Cascade complexes were reconstituted and analyzed via size-exclusion chromatography. Activity of the heterologous M. maripaludis CRISPR-Cas system was followed using phage lambda plaques assays.
RESULTS:
The reconstituted Type-I-B Cascade complex contains Cas7, Cas5, Cas6b and the large subunit Cas8b. Cas6b can be omitted from the reconstitution protocol. The large subunit Cas8b was found to be represented by two tightly associated protein fragments and a small C-terminal Cas8b segment was identified in recombinant complexes and C. thermocellum cell lysate.
CONCLUSIONS:
Production of Cas8b generates a small C-terminal fragment, which is suggested to fulfill the role of the missing small subunit. A heterologous, synthetic M. maripaludis Type I-B system is active in E. coli against phage lambda, highlighting a potential for genome editing using endogenous Type-I-B CRISPR-Cas machineries. This article is part of a Special Issue entitled "Biochemistry of Synthetic Biology - Recent Developments" Guest Editor: Dr. Ilka Heinemann and Dr. Patrick O'Donoghue.
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March 7, 2017 6:35 PM
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A Visual Language for Protein Design 

A Visual Language for Protein Design https://t.co/XlqkrbkqaO
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March 7, 2017 1:09 PM
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Cell-free synthetic biology: Engineering in an open world

Cell-free synthetic biology emerges as a powerful and flexible enabling technology that can engineer biological parts and systems for life science applications without using living cells. It provides simpler and faster engineering solutions with an unprecedented freedom of design in an open environment than cell system. This review focuses on recent developments of cell-free synthetic biology on biological engineering fields at molecular and cellular levels, including protein engineering, metabolic engineering, and artificial cell engineering. In cell-free protein engineering, the direct control of reaction conditions in cell-free system allows for easy synthesis of complex proteins, toxic proteins, membrane proteins, and novel proteins with unnatural amino acids. Cell-free systems offer the ability to design metabolic pathways towards the production of desired products. Buildup of artificial cells based on cell-free systems will improve our understanding of life and use them for environmental and biomedical applications.
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March 7, 2017 1:02 PM
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Enabling complex genetic circuits to respond to extrinsic environmental signals

Genetic circuits have the potential to improve a broad range of metabolic engineering processes and address a variety of medical and environmental challenges. However, in order to engineer genetic circuits that can meet the needs of these real-world applications, genetic sensors that respond to relevant extrinsic and intrinsic signals must be implemented in complex genetic circuits. In this work, we construct the first AND and NAND gates that respond to temperature and pH, two signals that have relevance in a variety of real-world applications. A previously identified pH-responsive promoter and a temperature-responsive promoter were extracted from the E. coli genome, characterized, and modified to suit the needs of the genetic circuits. These promoters were combined with components of the type III secretion system in Salmonella typhimurium and used to construct a set of AND gates with up to 23-fold change. Next, an antisense RNA was integrated into the circuit architecture to invert the logic of the AND gate and generate a set of NAND gates with up to 1,168-fold change. These circuits provide the first demonstration of complex pH- and temperature-responsive genetic circuits, and lay the groundwork for the use of similar circuits in real-world applications.
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March 6, 2017 4:36 PM
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World-first synthetic receptor mimics how cells ‘talk’ to the world around them

World-first synthetic receptor mimics how cells ‘talk’ to the world around them | SynBioFromLeukipposInstitute | Scoop.it
World-first synthetic receptor mimics how cells ‘talk’ to the world around them
March 6, 2017
Researchers from the University of Bristol have found a way to mimic the way cells in living organisms ‘talk’ to the world around them by creating a world-first synthetic receptor which can respond to chemical signals just like its natural equivalent.

The breakthrough research, published in the journal Nature Chemistry, paves the way for further advances in biotechnology and in the future could be used in the treatment of medical conditions caused by faulty cellular communication. The research was supported by the European Research Council and the Engineering and Physical Science Research Council (EPSRC).

Professor Jonathan Clayden from the University of Bristol’s School of Chemistry explains: “Cells in living organisms find out what is happening in the world around them by using receptor molecules embedded in their outer membranes. These respond to chemical messages, such as hormones, by changing shape, which sets off a cascade of chemical events inside the cell.

“Working with collaborators in Manchester, we have now designed and synthesised the first artificial mimic of one of these receptors.”

The synthetic receptor embeds itself into the membrane of simple cellular structures known as vesicles, and just like its natural equivalent, changes its molecular shape in response to chemical signals.

The researchers were able to get the receptor mimic to respond to the natural hormone Leu-enkephalin (an “agonist”), which in humans is involved in pain relief, and were able to use another chemical messenger (an “antagonist”) to switch this response off again.

“The discovery that artificial molecules can respond to chemical signals in this way raises the possibility that the natural communication pathways used by cells could be added to or bypassed,” said Professor Clayden.

“Ultimately, we could see artificial cells being used to produce valuable materials or medicines under the control of receptors in their membranes, or the use of artificial receptors to treat medical conditions caused by faulty cellular communications.”

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March 4, 2017 2:22 PM
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Photoelectrochemical enzymatic biosensors

Enzymatic biosensors have been valuable bioanalytical devices for analysis of diverse targets in disease diagnosis, biological and biomedical research, etc. Photoelectrochemical (PEC) bioanalysis is a recently emerged method that promptly becoming a subject of new research interests due to its attractive potential for future bioanalysis with high sensitivity and specificity. PEC enzymatic biosensors integrate the inherent sensitivities of PEC bioanalysis and the selectivity of enzymes and thus share their both advantages. Currently, PEC enzymatic biosensors have become a hot topic of significant research and the recent impetus has grown rapidly as demonstrated by increased research papers. Given the pace of advances in this area, this review will make a thorough discussion and survey on the fundamentals, sensing strategies, applications and the state of the art in PEC enzymatic biosensors, followed by future prospects based on our own opinions. We hope this work could provide an accessible introduction to PEC enzymatic biosensors for any scientist.
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March 3, 2017 7:18 AM
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Synthetic Biology in the Driving Seat of the Bioeconomy

Synthetic biology is revolutionising the biotech industry and is increasingly applied in previously unthought-of markets. Here, we discuss the importance of this industry to the bioeconomy and two of its key factors: the synthetic biology approach to research and development (R&D), and the unique nature of the carefully designed, stakeholder-inclusive, community-directed evolution of the field.
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March 3, 2017 6:48 AM
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DNA could store all of the world's data in one room

DNA could store all of the world's data in one room | SynBioFromLeukipposInstitute | Scoop.it
Humanity has a data storage problem: More data were created in the past 2 years than in all of preceding history. And that torrent of information may soon outstrip the ability of hard drives to capture it. Now, researchers report that they’ve come up with a new way to encode digital data in DNA to create the highest-density large-scale data storage scheme ever invented. Capable of storing 215 petabytes (215 million gigabytes) in a single gram of DNA, the system could, in principle, store every bit of datum ever recorded by humans in a container about the size and weight of a couple of pickup trucks. But whether the technology takes off may depend on its cost.

DNA has many advantages for storing digital data. It’s ultracompact, and it can last hundreds of thousands of years if kept in a cool, dry place. And as long as human societies are reading and writing DNA, they will be able to decode it. “DNA won’t degrade over time like cassette tapes and CDs, and it won’t become obsolete,” says Yaniv Erlich, a computer scientist at Columbia University. And unlike other high-density approaches, such as manipulating individual atoms on a surface, new technologies can write and read large amounts of DNA at a time, allowing it to be scaled up.

Scientists have been storing digital data in DNA since 2012. That was when Harvard University geneticists George Church, Sri Kosuri, and colleagues encoded a 52,000-word book in thousands of snippets of DNA, using strands of DNA’s four-letter alphabet of A, G, T, and C to encode the 0s and 1s of the digitized file. Their particular encoding scheme was relatively inefficient, however, and could store only 1.28 petabytes per gram of DNA. Other approaches have done better. But none has been able to store more than half of what researchers think DNA can actually handle, about 1.8 bits of data per nucleotide of DNA. (The number isn’t 2 bits because of rare, but inevitable, DNA writing and reading errors.)

Erlich thought he could get closer to that limit. So he and Dina Zielinski, an associate scientist at the New York Genome Center, looked at the algorithms that were being used to encode and decode the data. They started with six files, including a full computer operating system, a computer virus, an 1895 French film called Arrival of a Train at La Ciotat, and a 1948 study by information theorist Claude Shannon. They first converted the files into binary strings of 1s and 0s, compressed them into one master file, and then split the data into short strings of binary code. They devised an algorithm called a DNA fountain, which randomly packaged the strings into so-called droplets, to which they added extra tags to help reassemble them in the proper order later. In all, the researchers generated a digital list of 72,000 DNA strands, each 200 bases long.

They sent these as text files to Twist Bioscience, a San Francisco, California–based startup, which then synthesized the DNA strands. Two weeks later, Erlich and Zielinski received in the mail a vial with a speck of DNA encoding their files. To decode them, the pair used modern DNA sequencing technology. The sequences were fed into a computer, which translated the genetic code back into binary and used the tags to reassemble the six original files. The approach worked so well that the new files contained no errors, they report today in Science. They were also able to make a virtually unlimited number of error-free copies of their files through polymerase chain reaction, a standard DNA copying technique. What’s more, Erlich says, they were able to encode 1.6 bits of data per nucleotide, 60% better than any group had done before and 85% the theoretical limit.

“I love the work,” says Kosuri, who is now a biochemist at the University of California, Los Angeles. “I think this is essentially the definitive study that shows you can [store data in DNA] at scale.”

However, Kosuri and Erlich note the new approach isn’t ready for large-scale use yet. It cost $7000 to synthesize the 2 megabytes of data in the files, and another $2000 to read it. The cost is likely to come down over time, but it still has a long ways to go, Erlich says. And compared with other forms of data storage, writing and reading to DNA is relatively slow. So the new approach isn’t likely to fly if data are needed instantly, but it would be better suited for archival applications. Then again, who knows? Perhaps those giant Facebook and Amazon data centers will one day be replaced by a couple of pickup trucks of DNA.
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Scooped by Gerd Moe-Behrens
March 2, 2017 4:30 PM
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Suduko Hints at New Encoding Strategy for DNA Data Storage

Suduko Hints at New Encoding Strategy for DNA Data Storage | SynBioFromLeukipposInstitute | Scoop.it
New coding method that makes it possible to come close to the theoretical maximum for DNA data storage
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March 2, 2017 6:59 AM
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Design Automation in Synthetic Biology

Design automation refers to a category of software tools for designing systems that work together in a workflow for designing, building, testing, and analyzing systems with a target behavior. In synthetic biology, these tools are called bio-design automation (BDA) tools. In this review, we discuss the BDA tools areas—specify, design, build, test, and learn—and introduce the existing software tools designed to solve problems in these areas. We then detail the functionality of some of these tools and show how they can be used together to create the desired behavior of two types of modern synthetic genetic regulatory networks.
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March 1, 2017 3:19 PM
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Scientists Build New Computer Made of DNA

Scientists Build New Computer Made of DNA | SynBioFromLeukipposInstitute | Scoop.it
Scientists at the University of Manchester have developed a new type of self-replicating computer that uses DNA to make calculations, a breakthrough that could make computing far more efficient.

Computing with DNA was first proposed in 1994 as a way to solve problems faster than with normal computers. DNA has a number of advantages over silicon that makes it ideal for problem solving, namely that it's extremely small and highly stable.

But the biggest advantage of DNA is that it can copy itself. In computing terms, this means that a DNA computer can run an arbitrary number of calculations at the same time, which is very important for solving complex problems. While a typical computer might have to do a billion calculations one after another, a DNA computer can just make a billion copies of itself and do all the calculations at once.

In fact, that's just what the University of Manchester researchers did with their DNA computer. Theirs is the first physical demonstration of this concept, and they hope that a DNA computer could be used to solve complex problems faster than current computers, or even the quantum computers of the future.
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March 1, 2017 11:22 AM
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Synthetic biology to help colonize Mars | PLOS Synthetic Biology Community

Synthetic biology to help colonize Mars | PLOS Synthetic Biology Community | SynBioFromLeukipposInstitute | Scoop.it
Shannon Dangle finished her PhD ready to take on a new challenge and set her sights on research to help make Mars colonization possible. But she isn't pursuing
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February 28, 2017 12:52 PM
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High-throughput screening of microchip-synthesized genes in programmable double-emulsion droplets

The rapid advances in synthetic biology and biotechnology are increasingly demanding high-throughput screening technology, such as screening of the functionalities of synthetic genes for optimization of protein expression. Compartmentalization of single cells in water-in-oil (W/O) emulsion droplets allows screening of a vast number of individualized assays, and recent advances in automated microfluidic devices further help realize the potential of droplet technology for high-throughput screening. However these single-emulsion droplets are incompatible with aqueous phase analysis and the inner droplet environment cannot easily communicate with the external phase. We present a high-throughput, miniaturized screening platform for microchip-synthesized genes using microfluidics-generated water-in-oil-in-water (W/O/W) double emulsion (DE) droplets that overcome these limitations. Synthetic gene variants of fluorescent proteins are synthesized with a custom-built microarray inkjet synthesizer, which are then screened for expression in Escherichia coli (E. coli) cells. Bacteria bearing individual fluorescent gene variants are encapsulated as single cells into DE droplets where fluorescence signals are enhanced by 100 times within 24 h of proliferation. Enrichment of functionally-correct genes by employing an error correction method is demonstrated by screening DE droplets containing fluorescent clones of bacteria with the red fluorescent protein (rfp) gene. Permeation of isopropyl β-d-1-thiogalactopyranoside (IPTG) through the thin oil layer from the external solution initiates target gene expression. The induced expression of the synthetic fluorescent proteins from at least ∼100 bacteria per droplet generates detectable fluorescence signals to enable fluorescence-activated cell sorting (FACS) of the intact droplets. This technology obviates time- and labor-intensive cell culture typically required in conventional bulk experiment.
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