A conversation about neuroscience

Nature research journal editors speak with Eric Nestler and Robert Greene about neurobiology and the Society for Neuroscience (SfN) 2017 annual meeting.

A conversation about neuroscience
presented by Nature Methods, Nature Neuroscience & Nature Communications

Sachin Ranade and Jean Zarate

eric_nestler_robert_greene

 

 

 

 

In advance of the 2017 annual meeting of the Society for Neuroscience, Jean Mary Zarate, an editor at Nature Neuroscience and Sachin Ranade , an editor at Nature Communications (photo, upper left) had the opportunity to speak with Eric Nestler, President of the Society for Neuroscience and researcher at the Icahn School of Medicine at Mt. Sinai and Robert Greene, a scientist at the University of Texas Southwestern Medical Center (photo, upper right).

Watch the video here

XFEL projects, tools, data portals

Earlier this year, the EuXFEL’s first laser beam reached the ‘hutch’.

Earlier this year, the EuXFEL’s first laser beam
reached the ‘hutch’.{credit}Jessica Mancuso{/credit}

As of September 1, the European X-ray free-electron laser (EuXFEL) is ready for the research community’s experiments; the user page is here.

In the September issue of Nature Methodswe present some of the experimental ideas researchers are exploring in that facility.

Other XFELs are operational or in the works: FERMI facilityLinac Coherent Light Source at Stanford (LCLS)Pohang Accelerator Laboratory (PAL) X-ray Free-Electron Laser, SPring-8 Angstrom Compact Free ElectronLaser (SACLA)Swiss Free-Electron Laser (SwissFEL).

One day, there might even be a XFEL that fits on a table-top (see below). The day is already here when scientists need to analyze mountains of XFEL-data. The EuXFEL will likely make those mountains grow in height. There are tools for that and likely more tools to come (see far below for a list of some tools).

Tabletop XFEL

To complement the large XFEL facilities, a number of research groups are developing benchtop XFELs9,10. Such projects involve miniaturization of all aspects of the technology, including the accelerator. Some groups explore ways to pass a laser through plasma to produce bright, high-energy, short-pulsed beams. Separately, some researchers use a terahertz generator, which can provide sufficiently high pulse energies, says Franz Kärtner, a physicist at the University of Hamburg who also holds an appointment at MIT. His team, along with Petra Fromme of Arizona State University, is developing such a tabletop XFEL instrument.

The scientists would like to use the instrument for coherent diffractive imaging and spectroscopy experiments on photosystem II, a protein complex involved in photosynthesis. Their compact XFEL approach, which will use a terahertz generator, lasers and nonlinear optics, is calculated to achieve photon energies between 10 and 12 keV, hard X-rays that can be harnessed for imaging at atomic resolution, says Kärtner.

Although this compact XFEL will generate fewer photons per shot than a large-scale FEL—106 to 109 photons per shot as opposed to 1012 photons or more—the machine will be able to produce very short pulses, on the order of 0.5 femtoseconds. That is 10–100 times shorter than current FEL pulses. And if that comes to be, says Kärtner, the peak power of the instrument may be almost on par with that of an XFEL.

A terahertz accelerator module for a table-top XFEL in the making

A terahertz accelerator module for a table-top XFEL in the making
{credit}DESY/Heiner Müller-Elsner{/credit}

In the instrument’s terahertz-driven accelerator there will be acceleration gradients between 500 MV/m to 1GV/m. It’s this high frequency that helps to compress electron bunches over short distances and that will let the developers to use compact electron guns. In this fashion, they will be able to shoot a coherent electron beam directly from a gun and emit an X-ray beam much like a FEL, says Kärtner.

Tabletop XFELs fill an important experimental gap between Röntgen’s X-ray tube and the large-scale FELs. “There is nothing in between,” says Kärtner. That’s akin to a situation in optical science in which researchers need to choose between a light bulb and a large-scale optical laser such as the one at the National Ignition Facility at Lawrence Livermore National Laboratory. If the developers of the compact XFEL succeed at packing enough photons into each shot, the instrument will have potential applications in many fields, he says, including enhanced characterization of materials or higher-resolution medical and structural biology imaging.

  1.  Kneip, et al. Nat. Phys. 6, 980–983 (2010).
  2.  Kärtner, X. et al. Nucl. Instrum. Methods Phys. Res. A 829, 24–29 (2016)

Data mountains

XFEL-based experiments produce mountains of data. At EuXFEL, there are two two-dimensional pixel detectors, which will each deliver 10-40 gigabytes of data every second of an experiment.

Experimental data will be housed in the facility’s online systems and then moved to offline disk-based systems also at the facility where researchers can access and analyze it, says Filipe Maia, a biophysicist at the Uppsala University.

The data torrent makes for “a daunting problem,” says Maia, “and currently there’s clearly a lack of user friendly tools.” This issue is a general trend and not unique to XFEL-based research, but researchers are getting better at handling datasets, which happens also as they familiarize themselves with the increasingly available tools. After publication, he hopes the XFEL-data will be transmitted to an online repository to share it with the community. One such resource is the Coherent X-ray Imaging Data Bank (CXIDB), which he built.


Here are some tools for analyzing and managing XFEL data                             

 Resource Description
CASS-CFEL-ASG Suite of tools for real-time monitoring of XFEL experiments, data analysis and visualization, raw data correction, crystal hit finding.
cctbx.xfel Suite of tools for processing measurements made during SFX experiments at an XFEL. Built on Computational Crystallographic Toolbox.
CrystFEL Software suite for processing SFX data.
 Cheetah Data analysis and high-throughput data reduction tools for SFX data.
 Condor Simulation of Flash X-ray imaging to help solve structures without needing crystallization
 Dragonfly  Software/algorithm for single-particle imaging with XFELs
 Hummingbird  Real-time monitoring of XFEL experiments
 Hawk  Package for analyzing and phasing diffraction patterns from single particle-based experiments
 IOTA Spot-finding software for XFEL-based diffraction images. Part of the cctbx.xfel suite.
 OnDA  Real-time monitoring and data analysis of XFEL experiments
 psana  A data analysis framework at LCLS
 SACLA analysis  framework Real-time data processing pipeline at SACLA for serial femtosecond crystallography; it uses modified Cheetah and CrystFEL.
WavePropaGator Software framework for simulating XFEL experiments.
 XATOM  Software calculating and simulating X-ray atom interaction.
Part of the software package Xraypac.
 XMDYN  Simulation tool for modeling dynamics of matter that is exposed to high-intensity X-rays. Part of the software package Xraypac.
 Resources and Portals 
 Coherent X-ray Imaging Data Bank (CXIDB) A database for coherent X-ray imaging experiments.
 LCLS data  analysis  Data analysis resources at LCLS.
 Protein Data  Bank (PDB)  Data repository for protein structures.
 SIMEX  A project that aims to develop an experimental simulation platform for use at XFELs

Sources: Henry Chapman, DESY; Janos Hajdu, Filipe Maia, Uppsala University; Sébastien Boutet, LCLS

LCLS: Stanford Linac Coherent Light Source; Linac Coherent Light Source, SLAC National Accelerator Laboratory (formerly named Stanford Linear Accelerator Center)
SACLA: Spring-8 Angstrom Compact Free Electron Laser
SFX: Serial Femtosecond Crystallography
XFEL: X-ray free-electron laser

Computable sugars: some computational resources in glycoscience

Glycoscience is sweet science

Glycoscience is sweet science{credit}PhotoDisc/ Getty Images{/credit}

As glycoscience advances, labs will increasingly want to ask questions about glycosylation sites on a protein or the structure of a sugar, says Raja Mazumder, a bioinformatician at George Washington University. They might ask for example: are there glycosyltransferases that are expressed in liver but not in the heart, or, which ones are overexpressed by a factor of three in more than two cancers. Such questions require infrastructure building, he says, because right now there is no mechanism to allow such queries. But he and others are building such capabilities. Mazumder along with William York at the University of Georgia are starting to build a glycoscience informatics portal.

Mazumder wants to leverage existing ontologies in the developer community in order to build systems that can be queried on a large-scale. For example, Mazumder is working with Cathy Wu at Georgetown University, who is developing the Protein Ontology. Such ontologies are collected, for example, by the non-profit OBO Foundry. To allow flexible querying, the computational resources will draw on different ontologies; ones that relate to glycans, genes, proteins, tissues, diseases and more.

Ontologies are part the team’s effort to build application program interfaces (APIs) that expose the data in a given database to incoming queries. Given how complex sugars are, the informatics framework has to be well-organized for both human and machine-based querying, says Mazumder.

When using the resource, a researcher will receive results that also document the search process itself such as the version of the queried database. “You need to be able to tell where you got that information from,” says Mazumder. Tracking data provenance matters especially in an age when databases continuously integrate information emerging in the literature.

For the Food and Drug Administration, Mazumder is developing computational standards for high-throughput sequencing, which he wants to also apply to glycoscience. His ‘biocompute object’ captures the given computational workflow a lab might have used to generate results: the software used, the databases queried and their version, and identifiers of data inputs and outputs. These biocompute objects are intended to help regulatory scientists interpret submitted work. It can also help scientists generally see if, for example, the version of software they used worked as it should, says Mazumder.

Too often labs use computational tools without benchmarking them, says Mazumder. “It would be unthinkable for a wet-lab scientist to not have a positive and negative control,” he says.  In informatics, developers benchmark their software but users often do not have these habits. “They don’t even know: if I don’t find anything, is it because my software did not run well or not?”

As labs move to big data analysis in genomics and also, eventually, in glycoscience, this aspect is ever more important, says Mazumder. In his view, biocompute objects will help glycobiology researchers communicate with one another about their results, such as where on a protein they found a sugar with a given structure. More generally, it will help glycoscientists to have a better way to connect the available sugar resources as they pursue their questions of interest.


Here are some resources that glycoscientists can tap into:                             

 Category Resource Description
General resources and funding information
Transforming Glycoscience: A Roadmap for the Future Report by the National Research Council of the National Academies of Science
NIH Common Fund program in glycoscience  Funding opportunities from the NIH Common Fund program in glycoscience
A roadmap for Glycoscience In Europe by BBSRC, EGSF, European Science Foundation   Glycoscience roadmap for Europe
GlycoNet Resources related to glycoscience research in Canada, based at the University of Alberta where the Alberta Glycomics Centre is located
National Center for Functional Glycomics A Glycomics-related Biomedical Technology Resource Center based at Beth Israel Deaconess Medical Center, Harvard Medical School with resources on, for example, microarrays and microarray services, protocols, training and databases
Databases and  portals 
CAZy Carbohydrate-Active Enzymes, a database of enzyme families that degrade, modify or create glycosidic bonds
Consortium for Functional Glycomics Resources and glycoscience data. Part of the National Center for Functional Glycomics.
ExPASy Software tools and databases to simulate, predict and visualize glycans, glycoproteins and glycan-binding proteins
Glycan Library  A list of lipid-linked sequence-defined glycan probes
Glyco3D A portal for structural glycoscience
GlycoBase 3.2 A database of N– and O-linked glycan structures with HPLC, UPLC, exoglycosidase sequencing and mass spectrometry data
GlycoPattern Portal for glycan array experimental results from the Consortium for Functional Glycomics
Glycosciences.de Collection of databases and tools in glycoscience
GlyToucan Repository for glycan structures based in Japan
MatrixDB A database of experimental data of interactions by proteoglycans, polysaccharides and extracellular matrix proteins
Repository of Glyco-enzyme expression constructs University of Georgia Complex Carbohydrate Research Center repository for glyco-enzyme constructs
SugarBind A database of carbohydrate sequences to which bacteria, toxins and viruses adhere
UniCarbKB A resource curated by scientists in in five countries. It includes GlycoSuiteDB, a database of glycan structures; EUROCarbDB, an experimental and structural database and UniCarb-DB, a mass spec database of glycan structures
Software tools
CASPER Web-based tool to calculate NMR chemical shifts of oligo- and polysaccharides
Glycan Builder An online tool at ExPASy for predicting possible oligosaccharide structures on proteins
GlycoMiner/GlycoPattern Software tools to automatically identify mass spec spectra of N-glycopeptides
GlyMAP An online resource for mapping glyco-active enzymes
NetOGlyc Software tool for predicting O--glycosylation sites on proteins
SweetUnityMol Molecular visualization software

Sources: NIH, R. Mazumder, George Washington University; New England Biolabs, Thermo Fisher Scientific, Nature Research

Sequencing: Ship-Seq sails the seas

To study a primordial nervous system, Leonid Moroz brings the tools of biology to the open sea. Nature Methods spoke with the neurobiologist turned sea adventurer.

Leonid Moroz diving in Palau, collecting Nautilus.

Leonid Moroz diving in Palau, collecting Nautilus.{credit}Aggressor Fleet / L.L. Moroz{/credit}

Meet neurobiologist Leonid Moroz of the University of Florida, the inventor of Ship-Seq. His hair is not always this wild, although his ideas tend to be.

Ship-Seq is a boat with a sequencing lab on board. On the high seas, Moroz and his crew of sailor-scientists do high-throughput sequencing of DNA and RNA from single cells, as well as neurobiology experiments. And they analyze results, too.

The ctenophore Beroe ovata.

The ctenophore Beroe ovata.{credit}J. Netherton/ L.L. Moroz{/credit}

He is especially intrigued by ctenophores, now believed to be the first multicellular organisms, which also have a nervous system but it is utterly unlike ours. It is likely, he says, that their ‘elementary brains,’ their neural and muscular systems, such as the ones found in molluscs and basal metazonas, have evolved independently from all other animal lineages.

In his Nature paper recently published, he and his colleagues present the genome of the ctenophore of the Pacific sea gooseberry (Pleurobrachia bachei)—the data are here—along with transcriptome analysis of other ctenophores. He and his colleagues also present metabolic and physiological data about these organisms. The authors describe how ctenophores have evolved neuronal organizations that show ‘molecular innovations.’ There is also an accompanying News and Views piece by Andreas Hejnol of the University of Bergen in Norway and a Nature news story by Ewen Callaway.

Labs can be outdoors and on-ship.

Labs can be outdoors and on-ship. {credit}L.L. Moroz{/credit}

Although organisms can be taken from the sea to the lab, they often need ocean depths or a certain temperature to survive. And when samples are prepared for travel, they need optimized conditions to not degrade. Three decades of dealing with dead organisms, degraded samples, delayed shipments and customs snafus have led Moroz to try something new: Ship-Seq. “We cannot bring the sea to the lab, but we can bring a whole lab to the sea,” he says.

After completing two proof-of-concept Ship-Seq voyages—one to the Bahamas and another near the Florida Keys and one to Palau to prepare those voyages—Moroz shares some of his findings here, offers a glimpse at his logistics and future plans. He hopes others can follow his example, because probing and analyzing nature while in and around nature is an adventure with biomedical value.

Leonid Moroz

Leonid Moroz wanted to bring the lab to the sea. {credit}L.L. Moroz{/credit}

Biologist and entrepreneur Craig Venter and his Global Ocean Sampling Expedition in some ways parted the seas for Moroz’s project. Moroz wanted to explore biodiversity through sequencing but also take an extra step to do on-site ‘integrative experimental biology,’ which is about using many types of tools to study whole organisms, their behavior and their cells and genomes.

Field biology tends to be an observational science, because in the field, biologists do not usually have an entire high-tech molecular biology lab in tow. And, says Moroz, field scientists may not be completely familiar with new genomics tools, which is too bad since nature has performed genetics experiments waiting to be evaluated. On the boat he studied regeneration, which is hard or even impossible to accomplish “in a dish,” he says, because the animals he studies are incredibly fragile.

King of Regeneration
Meet the comb jelly Bolinopsis, which Moroz calls ‘the king of regeneration.’

Bolinopsis can regenerate its brain in three to five days.

Bolinopsis can regenerate its brain in three to five days. {credit}L.L. Moroz{/credit}

These transparent organisms from the phylum Ctenophora propel themselves through the water with rows of iridescent combs of tiny hairs. Though they may be small and unassuming, they perform an amazing feat: they can regenerate their entire ‘elementary’ brain in three to five days.

Moroz calls their aboral organ with gravity sensors an ‘elementary’ brain; it is not homologous to the human brain. But it is a control center with many neuron types and it coordinates behaviors and motions. In that sense it is an “analog” of the human brain, he says. What astounded Moroz is that when it is dissected from the animal, it grows back.

Other marine organisms such as Hydra are known to regenerate organs, but examples are limited, particularly for organisms that can be maintained in the lab. Finding models for such biological phenomena are crucial in neurobiology, he says. And for regenerative medicine, too. Aplysia, the marine sea slug, has long been helping scientists study memory. And there are more such organisms to find and with which he wants to do ‘real-time’ experiments and analysis, for example look at the dialogue between pre- and post-synaptic neurons.

Bolinopsis has another intriguing trait that Moroz discovered by accident. He was making some small incisions and then briefly interrupted his work. “When I came back around 40 minutes or an hour later, I couldn’t find my cut,“ he says. He made another incision and watched the wound begin to close before his eyes. Overnight, the wound became invisible. “It’s very cool,” says Moroz.

Sequencing team on the first ShipSeq voyage, from feft to right: Tatiana Moroz, Andrea Kohn, Rachel Sanford

Sequencing team on the first ShipSeq voyage, from left to right: Tatiana Moroz, Andrea Kohn, Rachel Sanford{credit}L.L. Moroz{/credit}

He found this wound-healing ability in five or six ctenophore species. It is likely an adaptation to life close to the water surface, where there are predators and formidable waves that can inflict bodily harm on these organisms. A related ctenophore species that lives in deeper waters appears to have lost this wound-healing ability. In this sense, he says, “nature already performed knock-out experiments for us,” inviting researchers to investigate which genes might play a role in these instances. Some species in the same lineage are slow regenerators, others fast, another aspect that invites genomic analysis.

Traditional ways of exploring the biochemical underpinnings of physiology and behavior can be slow. With new technologies such as high-throughput sequencing, it is possible to connect data types more quickly. For example, one can see an organism behave and use genomics to see molecular changes, for example in gene expression or epigenetic markers. Being on the boat lets scientists directly address observed biology; “you basically follow up with what nature suggests to you,” says Moroz.

One-way ticket

The Ship-Seq sequencing team for the second trip (from left to right Suzette,  Lauran, Rachel, Gabby, Andrea, Greg, Emily, Leonid, Gustav).

The Ship-Seq sequencing team for the second trip (from left to right Suzette,Lauran, Rachel, Gabby, Andrea, Greg, Emily, Leonid, Gustav).{credit}L.Moroz{/credit}

ShipSeq is also an environmental research project. Roughly every six hours a species is lost, he says. The disappearance of these organisms means ecological harm and the loss of important molecular blueprints, which is not unlike losing precious art and heritage sites, he says.

Comparative biologists face the criticism that their work does not have ‘translational value’ for biomedicine. But Moroz believes Ship-Seq shows that marine organisms have tremendous biomedical value. Bolinopsis is one example of many.

A small volcanic island in Antarctica. Moroz nicknamed it  Aplysia Island given that it looks like a model organism,  the sea slug, Aplysia.

A small volcanic island in Antarctica. Moroz nicknamed it Aplysia Island because it looks like the sea slug, Aplysia, a model organism. {credit}L.L. Moroz {/credit}

Too many human diseases are “a one way ticket,” he says, such as age-related memory loss. Spinal cord injury and stroke lead to irreparable damage. But genomic analysis, including genome-wide expression studies can help researchers explore how to lessen the impact of these diseases and injuries. Scientists need to “jump” from the genome to complex functions and brain circuits, which recruit many parts of the genome.

By delivering the basic alphabet of an organism, sequencing is a boon to many fields. What scientists also need is the grammar with which this alphabet creates the biological equivalent of language, which is behavior and physiology.

With his approach to ‘real-time genomics,’ he wants to help expose this grammar, says Moroz. For example, scientists might want to capture epigenetic changes over the course of learning or regeneration.

Ship-Seq logistics

Copasetic with the mobile sequencing lab aboard

Copasetic with the mobile sequencing lab aboard{credit}Ian van der Watt{/credit}

This is Leonid Moroz’s boat, the Copasetic, a 141-foot yacht. Actually it isn’t his boat. And the story about how he gained access to it, is a tale of Moroz’s brand of determination.

Logistics expenses for field expeditions are usually not covered by traditional grants, so Moroz built a collaboration between companies and non-profits to make Ship-Seq a reality.Over the years, he found opportunities, but the tide was against him. One time, everything was ready to go, but the boat’s owner decided to sell the boat, a mere week before the scientists wanted to set sail. Ship-Seq’s maiden voyage was cancelled.

Then Moroz came across the Florida-based International Seakeepers Society, through which yacht-owners loan out their boats for research purposes when they are not using them.

In late 2012, Moroz was invited to an International Seakeepers Society dinner. He had a semiconductor chip in his pocket that is used in semiconductor-based sequencers from Life Technologies, now a part of Thermo Fisher. The scheduled presentation was delayed due to a glitch with the projector. Until the projector was fixed, Moroz gave an impromptu talk about how the small chip could help save the oceans’ heritage and tell the world about the genomic blueprints of marine organisms. He had already been using the technology in his lab and saw how the instrument was accelerating his work.

Some of the listeners smiled politely and ignored him, he says, but a few were excited. Around nine months after that dinner, finally an opportunity presented itself that allowed Ship-Seq to leave the dock.

Boat, crew, captain

Steven Sablotsky designed the Copasetic

Steven Sablotsky designed the Copasetic{credit}L.L. Moroz{/credit}

Steven Sablotsky, a University of Florida alumnus, engineer, businessperson, yacht owner and member of the International Seakeepers Society approached Moroz. Sablotsky had designed his own boat, the 141-foot Copasetic, with marine research in mind. Sablonsky offered his boat for Moroz’s “proof-of concept” trips for free, including his crew.

The added crew was important. Private boat owners can be their own skippers, but large boats are legally obliged to have a competent crew. “It’s pretty complicated machinery,” says Moroz. “You really have to work around the clock.”

The Copasetic crew

The Copasetic crew{credit}L.L. Moroz{/credit}

At the time, Moroz was also speaking with sequencer manufacturers. He had set up a Life Technologies’ Personal Genome Machine (PGM), which is a bench-top, semiconductor-based sequencer. The instrument’s semiconductor chip uses millions of wells to capture DNA sequence information. DNA is fragmented and each fragment is attached to a bead, and copied such that each bead is covered with copies of the same fragment. One bead is deposited into each one of many wells on the chip, which is then flooded with one of the four DNA bases. When a base is incorporated into DNA, a hydrogen ion is released, leading to a chemical change in the well. The instrument detects the change, converts the signal to voltage, which registers that the base was incorporated and adds it to the growing sequence of the fragment. Another base floods the wells and the process repeats.

After testing the PGM, Moroz decided that it should be the sequencer for Ship-Seq. He was not sure where to install it along with the other necessary lab equipment. It was the Copasetic’s captain Ian van der Watt who suggested housing the lab in a shipping container. A construction manager at Florida Biodiversity Institute helped to organize one such container and design the mobile lab with Moroz. A few weeks later it was ready to be placed on the boat’s deck.

The mobile lab contained is transferred to the Copasetic’s deck.

The mobile lab is placed on the boat’s deck….{credit}L.L. Moroz{/credit}

The lab is mobile

…and is ready to travel anywhere. {credit}L.L. Moroz{/credit}

The advantage of a container, says Moroz, is that it offers a completely controlled environment. He and his lab collected the supplies and instruments they needed such as benches, anti-vibration tables, PCR machine, and enrichment systems to measure RNA and DNA and run quality controls.

They needed a high-quality water purification system for the sequencing. It is, he says “somewhat ironic” that the team needed to produce ‘clean pure water’ even though they were in the middle of the ocean. Thermo Fisher engineers got the sequencer ship-shape for a seafaring environment. “Basically we made a full-scale molecular lab” for genomics and imaging, says Moroz.

He still had concerns about variables such as temperature and vibration. They set up the lab and tested all the instruments. While at the dock, he asked the captain to power the motor forwards and backwards, simulating high waves. The lab aced the test.

ShipSeq set sail on its first voyage and the lab was humming from the moment they left, Moroz says. Sablotsky came along, too. Every day they did two sequencing runs and sent the data via a satellite link to HiPerGator, which is a high performance computer with 24,000 core processing units installed at the University of Florida.

mobile lab inside for web

Ship-Seq’s core lab. {credit}L.L. Moroz{/credit}

Moroz had set up an analysis pipeline with computational tools and scripts to assemble and annotate the incoming sequence information. After automated analysis, data was beamed back to the boat. The sailor-scientists had considered taking a Thermo Fisher engineer along but that did not pan out “so we were on our own,” says Moroz. The good news was “everything worked.”

The second trip, to the Gulf Stream and Florida Keys was windy and through rough seas. Seasickness immobilized half of the lab staff for part of the trip, says Moroz, including his wife. “People could not cope with the field conditions but the PGM machine could,” he says of the sequencer on board. Actually, he says, the Ship-Seq’s sequencing runs were higher quality than in the lab on land. He speculates that the waves enhanced the mixing of chemicals.

“The versatility of our bench top sequencers is only limited by the imagination of today’s scientists,” says Mark Stevenson, executive vice president of Thermo Fisher Scientific in an e-mail to Nature Methods. “Clearly, Dr. Moroz has taken an ingenious idea to a new level and demonstrated that great data can be attained and analyzed in real time – even on a ship that’s rocking on the high seas.”

Seasick but happy
On both trips and despite the seasickness on the second venture, the lab’s team was especially motivated, says Moroz. “It is easy to work a 16-18 hour day when you have the beautiful sea, beautiful creatures around.” People have been important for the overall success of the venture, he says.

Moroz wants to do more trips and expand Ship-Seq’s scientific scope. Using a prototype of the PII chip (which is not yet on the market), he performed single neuron RNA-sequencing in the lab. He projects it might cost around $3 per individual neuronal transcriptome, if one wanted to do a census of neuronal cell types in the brain of a marine organism such as Bolinopsis or others ctenophores, plankton and other, as he calls them, ‘aliens of the sea.’

setting sail for web

It took a while before Ship-Seq could set sail. {credit}L.L. Moroz{/credit}

Ship-Seq and its ‘lab-in-a-container’ offers many opportunities, he says. “The beauty is that it is mobile.” The container could be put on a ship in Florida or it could be sent to Palau or Antarctica and placed on a boat there for not much greater cost. “You can get anywhere,” he says, maybe even set up a “sequencing fleet.”

The planning for the next Ship-Seq trips is underway—but the geographic and scientific directions are not yet finalized. And the finances, too, need to be organized. The trip might focus on more complex marine organisms. For example, cephalopods have complex brains, lending them their nickname ‘primates of the sea.’ Moroz hopes to one day study their neurobiology, integrating field biology, behavior, and genomics. He also wants to be part of the ongoing ‘race to save species,’ to not only study but also “preserve our planet.”

Moroz has encountered plenty of detractors and skeptics. Whenever he is criticized and told he should stick to the traditional way of doing science, his path of taking the lab to the sea feels right. He says it reinforces his sense: “I must do it.” To him, doing science on Ship-Seq feels like “the investigation of a new planet.”

Ship-Seq Protocol
1 x 141-foot boat
1 x generous entrepreneur
1 x ship’s crew
1 x mobile molecular biology lab equipped with lab benches, a sequencer, reagents
1 x manufacturer of a high-throughput sequencer willing to donate an instrument
1 x satellite link to a supercomputer
1 x lab staff and scientist/wife willing to be scientist-sailors
1 x diving equipment
1 x funding National Institutes of Health (NIH), National Science Foundation (NSF), National Aeronautics and Space Administration (NASA)
3 x support from non-profit organizations: Florida Biodiversity Institute, Florida Museum of Natural History, the International Seakeepers Society
1,000 international units of patience
Several remedies for seasickness

High-content screening: Our tech feature and the GE image competition

In single cell experiments, each well in a 384-well plate can spout a fountain of information. Chris Bakal at the Institute of Cancer Research, which is part of the University of London, practices “high content in high throughput” as he extracts hundreds of different features from single cells in his lab. In this month’s technology feature on single cell analysis, Bakal explains where his work leads and what he looks for in an imaging system.

In the past, drug discovery has driven high-content analysis but that trend is shifting. High content screening instruments are now increasingly finding homes in academic labs.

For example, the IN Cell Analyzer from GE Healthcare Life Sciences is also used at the University of Texas MD Anderson Cancer Center’s department of experimental Therapeutics. Geoffrey Grandjean, who was interviewed in this month’s technology feature, helped to set up a core facility service there, performing high-throughput, high-content siRNA screening. Seeing the images on a regular basis motivated him to start graduate school in experimental therapeutics.

Grandjean co-authored a paper in Cancer Research that looked at resistance to anti-mitotic chemotherapy agents and documented several gene clusters influencing reaction to the chemotherapy drug in “strikingly different ways.” The team also found that modulating microtubule stability in cancer cells is a way to enhance paclitaxel cytotoxicity. The team used siRNA to look at genetic factors regulating microtubule stability when ovarian cancer cells are treated with the drug paclitaxel.

{credit}Credit: G. Grandjean/U of Texas MD Anderson Cancer Center{/credit}

One of Grandjean’s images won last year’s IN Cell Analyzer Image Competition. A cancer drug makes the cellular scaffold so rigid that the cell cannot divide, thus resulting in a huge cell that dwarfs those around it.

Voting for GE Healthcare’s 2012 cell imaging competition has opened in two categories: microscopy and high-content analysis. You can cast your vote by December 19th. Winners will have their images displayed in New York City’s Times Square.

Q&A with the Nikon Small World Winners

For the last few years Nature Methods has published the winning image of the Nikon Small World Photomicrography Competition on our cover. This year I was lucky enough to serve on the competition judging panel alongside three other judges chosen by the competition organizers. The competition was fierce but the image below was chosen as the 2012 winner.

Nikon Small World winning image

Nikon Small World 2012 winning image{credit}Jennifer Peters & Michael Taylor{/credit}

The winning photomicrographers responsible for the image are microscopy specialist Jennifer Peters, a staff member of the Light Microscopy Core Facility at St. Jude Children’s Research Hospital in Memphis, Tennessee, and chemical biologist Michael Taylor. They created this image of the blood-brain barrier in a live transgenic zebrafish. The blood-brain barrier controls which substances come into contact with the vertebrate brain.

To view the other contest images and learn more about the competition please visit https://www.nikonsmallworld.com

Nature Methods talked briefly to the researchers about the science behind the beauty.

So what am I looking at?

MT: What you’re looking at is the blood-brain barrier of a live zebrafish larva at 6 days post-fertilization. The image of the brain vasculature is probably about 400 microns across.

JP: I always tell Mike that he has the most photogenic fish. It’s a 3D stack of images taken with a confocal microscope and collapsed in 2D. It changes from pink to red to yellow to green to blue as you go deeper into the brain. So the rainbow is pretty, but it’s also providing you with spatial information.

What do you hope to learn from these kinds of images?

MT: What we want to do with this is answer age-old questions in the field of brain-barrier biology. We want to answer “When does the blood-brain barrier develop, and what signaling pathways are involved in blood-brain barrier formation and maintenance?”

MT: We also want to be able to use it in drug screens. We’re interested in identifying compounds that modify the blood-brain barrier. The blood-brain barrier often keeps chemotherapeutics from getting into the brain, but it also breaks down in many neurodegenerative diseases. So if we can find small molecules that influence these processes, maybe we can come up with ways to treat diseases.

What did you have to do to get the image?

MT: We first made a transgenic blood-brain barrier reporter line in zebrafish to image this structure in a live animal. This transgenic line drives expression of the red fluorescent protein mCherry specifically in brain endothelial cells that make up the blood-brain barrier.

JP: In order to make the image look the way it does took some trial and error and some finessing. Imaging these live fish can be a challenge, since we have to keep the fish immobile and alive. We can also image the fish for up to 30 hours to examine development in real time.

These fish really are an ideal sample for microscopy and for the types of screens that Mike was talking about. You can fill up 96-well plates with fish embryos and visually screen them.

How did you get interested in science?

JP: [I’ve] always liked science ever since I was a kid. My father and I used to do chemistry experiments in the kitchen. I like instrumentation and like to take things apart and put them back together. That combined with the visual impact brought me to these kinds of studies.

MT: I had never considered science as a career. I was a business major and took chemistry to fulfill a requirement. At UC Davis, I became a biochemistry major and started working in a research lab to earn some spare money, and became interested in pursuing scientific research for my career. My boss encouraged me to go to graduate school, which is when I began working with zebrafish.

Next-generation naming

What wasn’t to like when people started talking about ‘next-generation’ sequencing? It sounds so cutting edge and futuristic. But now what?

‘Next-next-generation’ and the inevitable ‘next-next-next-generation’ bring back memories of MAPKK and MAPKKK except that those had intrinsic meaning to them that were obvious to the reader; thus, they worked.

Recently, people have started using the terms ‘second generation’ to refer to the 454, Illumina and SOLiD sequencing platforms and ‘third generation’ to refer to the Helicos and PacBio platforms. Nanopore-based platforms may also qualify for the ‘third generation’ moniker.

But while the acronym NGS was readily adopted by people to refer to next-generation sequencing, SGS and 2GS just haven’t seen the same kind of uptake in the community as acronyms for second-generation sequencing. For some reason they just aren’t as visually satisfying. Eventually, I think one of these will be picked up and popularized. While neither may be beautiful (if that can be said for any acronym), either of them would be infinitely better than NNGS and, heaven forbid, NNNGS.

Trace some neurons, get a big check

The idea of tracing the structure of stained neurons to obtain functional insights into in situ neural networks isn’t new and dates back over 100 years to Ramón y Cajal. Just recently I discovered that copies of his books have been digitized by Google and the illustrations are incredible. See for example Studien über die Hirnrinde des Menschen.

Even though software now exists to automate this process, it seems that the performance still isn’t good enough to replace manual tracing of image stacks of labeled neurons. Neuroanatomists often spend days to months manually tracing the structures rather than rely on the software that currently exists for automating the process.

Two big players in the neuroscience field have decided to do something about this. On April 9th the Allen Institute for Brain Science and the Janelia Farm Research Campus of the Howard Hughes Medical Institute announced the DIADEM Challenge. The acronym is derived from Digital Reconstruction of Axonal and Dendritic Morphology. I wonder how long it took to come up with that one.

Over the next year groups and individuals are invited to download image stacks of real data and use their algorithms to create digital reconstructions of the neurons and submit them for evaluation. Five finalists will be invited to compete in a final round at the Janelia Farm Research Campus. The organizers will award a $75,000 cash prize to the winner whose algorithm performs the best. The results will be submitted for publication in a special issue of the journal Neuroinformatics.

The hope is that the competition will encourage the advances in automated neuronal tracing that will be required for researchers to construct a functional atlas of the brain — one of the principle goals of the research at Janelia Farm.

It is encouraging to see a competition devoted to a small community like this. Nature Methods previously argued that such competitions would be valuable for improving algorithms in such specialized applications. I’m excited to see that it is happening and wish the organizers and competitors are successful.

Calling all photomicrographers

Every year Nikon treats people to some of the most spectacular images the microscopic world has to offer when they unveal the winners of their annual Small World Photomicrography Competition. Last year Nature Methods highlighted the winning image on the cover of our November issue.

Now is the chance for all you scientist-photographers to comb through your favorite images or take spectacular new ones because yesterday Nikon announced that they are accepting submissions for this year’s contest from now until April 30th. Go to https://www.nikonsmallworld.com for more information and to see previous year’s winners.