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Revision as of 18:05, 7 October 2018

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INTERLAB STUDY

INTRODUCTION

Do you imagine doing an experiment that could not be repeated? What if, after performing the same experiment several times, you obtain different results each time? This is a common problem throughout almost all laboratories in the entire world. A challenge, not just for Synthetic Biology but for any type of science, is taking reliable and repeatable measurements.

Over the past four years, the iGem Measurement Committee has been developing a series of experiments to make the biggest interlaboratory studies ever done in synthetic biology, and, in that way, try to fix all possible variables within a particular protocol.

WHAT IS THIS YEAR'S GOAL?

To know if there is any chance to reduce lab-to-lab variability in fluorescence measurements by normalizing to absolute cell count or c-forming units (CFUs) instead of optical density (OD).

In order to compute the cell count in our samples, we will use two orthogonal approaches:

Approach 1: Converting between absorbance of cells to absorbance of a known concentration of beads

The theory under how absorbance is measured is quite simple: a liquid sample of cells scatter light in a way or another depending on the number of cells this sample contains. The Committee provides us a sample with silica beads which are almost the same size and shape as a typical E. coli cell. So, when mixed with water, we obtain a liquid that should scatter light in a similar way as our E. coli sample does.

Because we know the concentration of beads, the absorbance measurement from a particular cell sample could be converted into an “equivalent concentration of beads” measurement, so that they are more universal and comparable measurements between different labs.

Approach 2: Counting c-forming units (CFUs) from the sample

This method relies on the idea that every grown c in our plate comes from a single cell. So, if we spread a known cell culture volume over an agar plate and then we count the number of colonies, we should have an idea on how many cells our liquid sample had. We will have to determine the number of CFUs in positive and negative control samples in order to compute a conversion factor from absorbance to CFU.

PLATE READER SETUP

ABSORBANCE600

Absorbance Endpoint

Full Plate

Wavelengths: 600

Read Speed: Normal, Delay: 100 msec, Measurements/Data Point: 8

FLUORESCENCE

Excitation: 485, Emission: 528

Optics: Top, Gain: 50

Light Source: Xenon Flash, Lamp Energy: High

Read Speed: Normal, Delay: 100 msec, Measurements/Data Point: 10

Read Height: 7 mm

USED PARTS

Device Part number Plate Location
Negative control BBa_R0040 Kit Plate 7 Well 2D
Positive control BBa_I20270 Kit Plate 7 Well 2B
Test Device 1 BBa_J364000 Kit Plate 7 Well 2F
Test Device 2 BBa_J364001 Kit Plate 7 Well 2H
Test Device 3 BBa_J364002 Kit Plate 7 Well 2J
Test Device 4 BBa_J364007 Kit Plate 7 Well 2L
Test Device 5 BBa_J364008 Kit Plate 7 Well 2N
Test Device 6 BBa_J364009 Kit Plate 7 Well 2P

CALIBRATION 1: OD600 REFERENCE POINT

Using LUDOX CL-X as a point reference to obtain a conversion factor to transform our absorbance (Abs600) data from our plate reader into a comparable OD 600 measurement as would be obtained in a spectrophotometer.

LUDOX CL-X H2O
R1 0.061 0.051
R2 0.060 0.049
R3 0.061 0.043
R4 0.062 0.049
Arith. Mean 0.061 0.048
Corrected Abs600 0.013
Reference OD600 0.063
OD600/Abs600 4.846

CALIBRATION 2: PARTICLE STANDARD CURVE

This allows us to construct a standard curve of particle concentration which can be used to convert Abs 600 measurements to an estimated number of cells.

CALIBRATION 3: FLUORESCENCE STANDARD CURVE

Absolute fluorescence values cannot be directly compared from one instrument to another. In order to compare fluorescence output of test devices between teams, it is necessary for each team to create a standard fluorescence curve.

EXPERIMENT

Fluorescence Raw Readings:
Hour 0: Neg. Control Pos. Control Device 1 Device 2 Device 3 Device 4 Device 5 Device 6 LB+Chlor (blank)
C1, R1 3618 3087 5355 2950 3402 4799 4112 3901 3350
C1, R2 3648 3414 5158 2887 3260 4647 4159 3758 3193
C1, R3 3273 3442 5077 1611 3331 4607 3972 3793 3234
C1, R4 3301 1381 5307 1074 3446 4519 4416 3804 3221
C2, R1 3350 3537 5091 3702 3976 4621 4517 3969 3256
C2, R3
lolita

Alberto Conejero lerolerolero

I am member of the Instituto Universitario de Matemática Pura y Aplicada of the UPV. I am also interested in Biomedical Data Analysis, Graph Theory, Network Science, and in the applications of Mathematics to Computational, Systems and Synthetic Biology, and Communication Networks.

I am the author of more than 50 research articles published in international research journals. In addition, I have stayed at the following universities for short periods: in Bowling Green (OH) and Kent (OH) (USA), Lecce (Italy), Prague (Czech Rep.) And Tübingen (Germany).

Before being Director of the Department of Applied Mathematics, I held the position of Director of Academic Performance and Curricular Students Assessment Area of the Vice-rectorate of Students and Culture of the UPV. Previously I held these positions university: Deputy Dean of the ETSINF (formerly Faculty of Informatics) (2004-2009), and Secretary of the Commission of the Strategic Plan of the UPV for the period 2007-2014 (2005-2007).

  • bellesa

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  • mpmor foreva

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