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Tracks/Measurement
From 2014.igem.org
iGEM 2014 Measurement New Track
Introduction
Precise measurements lie at the foundation of every scientific discipline, including synthetic biology. The limits of our knowledge are set by how well we can connect observations to reproducible quantities that give insight. Measurement is also an act of communication, allowing researchers to make meaningful comparisons between their observations. The science and technology of measurement are easily overlooked, because measuring devices are so familiar to us, but behind even the simplest devices lies an elaborate infrastructure. Consider a laboratory pipette. How accurate are the volumes it dispenses? How similar is it to other pipettes? How do you know? The answers to these questions are a complex story involving everything from the speed to light in vacuum to the atomic properties of cesium.
In synthetic biology, measurement is a critical challenge that is receiving an increasing amount of attention each year. For example, one of the long-standing goals of both iGEM and synthetic biology at large, is to characterize biological parts, so that they can be more easily used for designing new systems. The aim of the iGEM Measurement Track is to get students informed and excited about these problems, and to highlight the successes that teams are able to achieve in the area of measurement. The Measurement Track also aims to find out what measurement assays teams have available and to lay groundwork for future more complex measurement activities in iGEM.
Measurement Challenges in Synthetic Biology
With all the instruments in our laboratories, why isn't measurement a solved problem in synthetic biology? Part of the problem is knowing what to measure and in what context. One way to think about the impact of measurements is in terms of four levels, each building upon the last:
- Measurement quantifies a phenomenon that has been experimentally
observed.
- Quantitative measurements may be used to create a model of how the
phenomenon was produced.
- Models may be applied to predict what quantitative phenomena will be
observed in a new context.
- Predictions may be used to inform choices about how to engineer
towards desired phenomena.
Even when we know what we wish to quantify, it may be impractical to
obtain with our current instruments. For example, many
quantitative models describe how the concentration of chemicals in a
single cell changes over time. Behaviors often vary greatly from
cell to cell, so it is often desirable to collect data from a large
number of individual cells. Most current instruments, however,
cannot readily measure this. Instead we end up having to make
tradeoffs like these:
 A mass spectrometer can measure the amount of particular chemicals in a sample, but any cell measured is destroyed, it is difficult to obtain measurement from individual cells, and often difficult to interpret the massive pattern of data produced to quantify particular chemicals of interest. |
 A flow cytometer can take vast numbers of individual cell measuremements, but the measurements are of a proxy fluorescent protein rather than the actual chemical of interest and the cells may still be disrupted by running them through the instrument. Unless calibration controls are run with an experiment, the measurements are relative and non-reproducible. |
 A fluorimeter is less invasive than a flow cytometer and can measure changing fluorescence over time with little impact on the cells, but still uses a fluorescent proxy. Its measurements are also of the whole sample rather than individual cells, and also relative to the number of cells in the sample. |
 A microscope can track and quantify fluorescence from individual cells, but not very many of them, and often needs human help on tracking. |
Figure 1: No generally available instrument can measure chemical concentrations in large number of single cells over time.
Relative measurements are a major problem, because they cannot be
compared. If you build models of biological devices using
different relative measurements, then you cannot combine the models to
predict what will happen when you combine the devices. If units
are relative to a batch of samples or to a laboratory, then you cannot
reproduce experimental results: even if two experiments produce the
same numbers in a new experiment, if the units are relative you cannot
tell whether the results are actually the same or whether they have
been uniformly shifted (which might be very important!).
Figure 2: Models using different relative units cannot be compared or connected. How many "Blue" in the output characterized for Repressor #1 are equal to a "Red" in the input characterized for Repressor #2?
Beyond these core scientific concerns, there are pragmatic problems
as well. Instruments are also often very expensive to buy and to
operate. This is an especially big problem for DIY groups and
researchers in smaller institutions or developing nations.
Cheaper instruments are sometimes available, but usually produce much
less accurate or precise data. Once you've got the data, you also
need to be able to share it effectively, so that everybody can benefit
from the information that is being learned. The community will
thus likely also need new tools and data exchange standards to allow
for simpler and more effective sharing of measurements and models.
Additional Reading on Measurement and Synthetic Biology
Here are some additional resources that may be interesting and can
help you learn more about the lay of the land for measurement in
synthetic biology:
Plans for the Measurement Track in 2014
The 2014 event expands on iGEM's long-running inclusion of measurement as a focus area (a measurement award has been given since 2006). This year we are introducing a medal for measurement, and splitting the single prior award into two awards.
Teams participating in the Measurement Track in 2014 can earn a medal by taking part in a group measurement project, in which each team measures the same properties of several known samples. We will provide some recommendations for experimental and measurement protocols, but teams are encouraged to use whatever approach will provide the most reliable and accurate measurements with the resources available to them. All of the results will be collected together and later shared, which will allow people to see the tradeoffs between different approaches.
Teams will also be able to compete for two awards:
- Best Characterization Project
focuses on performing
measurement. It will be awarded to the team that best gathers
high-quality data about the behavior of biological devices, such that this data can aid
future engineering projects.
- Best Innovation in Measurement
focuses on improving
measurement. It will be awarded to the team that provides the
best improvement to quality and/or accessibility of measurement
techniques.
Details
The measurement track offers two separate opportunities for teams:
- Earning a measurement medal: any team may do this, including teams that compete in other tracks
- Competing for Measurement Track awards
Earning a Measurement Medal:
In iGEM 2014, the Measurement Track features an interlab study, in which teams around the world will measure the same systems in order to determine the amount of variation and reliability of various properties and approaches to measurement. Any team that participates in the interlab study (details TBD) will earn a Measurement Medal.
Your team does not have to compete in the Measurement Track to participate: teams in any track can participate in the interlab study and earn a Measurement Medal. All teams that compete in the Measurement Track, however, are required to participate in the interlab study.
For iGEM 2014, all teams participating in the measurement track will take part in interlab study across all participating teams. Interlab studies are an important tool for understanding measurement techniques and for establishing community standards. In an interlab study, every participating laboratory attempts to measure the same things. After all of the measurements from all of the laboratories are gathered together, they are compared to see how similar they are. How close the measurements are to one another indicates how much variation there is in materials, protocols, instruments, or the fundamental nature of the subject. Likewise, a lab may discover that it has a problem if its values are very different from most of the others in the study.
Here is how to participate and earn a medal:
- You need to be a registered iGEM team.
- You should receive a set of "measurement mystery samples" in your iGEM kit. These are intended to be used for the interlab study. The contents of the samples are not labelled in order to make the study blind: if you knew what was in them in advance, it could influence your measurements. To participate in the interlab study, you will need to make a set of measurements on your mystery samples. Details TBA.
Medal criterion: collect all required sets of measurements. - In science, it is always important to give information about your methods, so that people know how much to trust your results, and also so that they can replicate and build on them. We have provided a "metrology worksheet" as a template to help you think about what information you need to be able to share about how you make your measurements.
Medal criterion: fill out a metrology worksheet for each of the assays you used in measuring the mystery samples. - Nobody can recognize your contributions or build on top of them if they are not shared. Even if your results are not good, it is important to share them, for a number of reasons. First, sharing what doesn't work helps others avoid wasting time rediscovering the same problem. Second, sharing all the results, both good and bad, helps us know whether good results are actually real or just a fluke, as part of systematic reviews.
Medal criterion: upload all of your measurements and the accompanying metrology worksheets to the iGEM interlab measurement site.
Any team that participates in the interlab study and fulfills all four medal criteria will receive a Measurement Medal.
Competing in the Measurement Track:
To compete for an award in the measurement track, your team must:
- Register your team, make a wiki page describing your project, and present a poster and talk at the Jamboree
- Qualify by participating in the interlab study and fulfulling all four medal criteria.
Additional details are given on the measurement track requirements page.
There will be two measurement track awards, “Best Characterization Project” and “Best Innovation in Measurement.”
Best Characterization Project:
Careful measurement of a large library of devices is necessary to build a solid foundation for engineering biological systems. This award goes to the team that most advances this goal, as judged by:
- Number of devices characterized in reproducible, non-relative units
- Precision of characterization
- Replicability of results
- Ease of accessibility and portability of results to other laboratories
- Quality of presentation and documentation
Best Innovation in Measurement:
Our ability to characterize the behavior of devices is limited by the assays that are available. Better measurements will be made easier by improvements in how and what we measure, and how we are able to use those measurements. This award goes to the team that best pushes the frontier of measurement capabilities, as judged by:
- Degree of improvement over the state of the art in cost, efficiency, precision, resolution, and/or other relevant capabilities.
- Ease of accessibility and portability of methods to other laboratories
- Quality of presentation and documentation
(Note that “Best Innovation in Measurement” replaces the prior “Best BioBrick Measurement Approach” award)
Requirements
Measurement teams must meet the general iGEM 2014 requirements. In addition, Measurement teams must meet the following track specific requirements:
- Interlab Measurement Study: For the Measurement Track, it is also important to submit data taken for the interlab experiment. Data should be uploaded to the iGEM interlab measurement site, along with accompanying metrology worksheets. Data will not be considered if it is uploaded without an accompanying worksheet or if the worksheet does not give consent for inclusion of the data in the interlab study.
Measurement Track Committee
We have a great committee to help coordinate the Measurement track in 2014.
Contact: measurement@igem.org- Chair: Jacob Beal, Raytheon BBN Technologies
- Traci Haddock, Boston University
- Jim Hollenhorst, Agilent Technologies
