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Final project – Final project – Computational Computational
BiologyBiologyRNA RNA
QuantificationQuantificationמיכל סימוןמגישים:
חיים בן שימול
יהודה ברודי בהנחיית:ד"ר ירון שב-טל
IntroductionIntroduction
Quantification of single molecules is a Quantification of single molecules is a rather new methodrather new method
IntroductionIntroduction It is now possible to fluorescently It is now possible to fluorescently
tag different molecules within the tag different molecules within the cell.cell.
Fluorescence microscopy makes it Fluorescence microscopy makes it possible track these molecules possible track these molecules (movement, interactions, kinetics (movement, interactions, kinetics etc.)etc.)
The data can be analyzed and The data can be analyzed and quantified using computational tools. quantified using computational tools.
Project goalProject goal
Providing an easy to use tool for Providing an easy to use tool for quantifying RNA molecules in cell, quantifying RNA molecules in cell,
determining their location and determining their location and distributiondistribution..
The tool will facilitate the tracing The tool will facilitate the tracing process of biological activities in process of biological activities in
cellscells..
RNA FISHRNA FISH
Synthesis of a complementary complementary oligonucleotide.oligonucleotide.
Covalently link the Covalently link the oligonucleotide to a oligonucleotide to a fluorescent molecule.fluorescent molecule.
Hybridization of the probe Hybridization of the probe with the RNA of interestwith the RNA of interest.
Detection of the labeled probe using fluorescent microscopy.
RNA FISHRNA FISH
Wide-Field microscopy Wide-Field microscopy techniquetechnique
Wide-Field microscopy Wide-Field microscopy techniquetechnique
Fluorescent sample is illuminated with light of the proper wave length.
The sample will emit light of a different wave length.
The light will be detected by a CCD camera.
The camera will acquire a two dimensional image of the emitted light intensity.
Acquiring several 2d planes will build a 3d representation of the object.
Wide-Field microscopy Wide-Field microscopy techniquetechnique
The final image is composed of pixels whose intensities are proportional to the florescence emitted by the cell at the represented area.
Image analysisImage analysis
Similar tool made in USA.Similar tool made in USA.
Image analysisImage analysis
At the beginning…...At the beginning…...
Image analysisImage analysis
IMARISIMARIS – – Tool for analyzing images Tool for analyzing images Wide graphical abilities.Wide graphical abilities. Embedded link to MATLAB programs.Embedded link to MATLAB programs.
Step I – defining spotsStep I – defining spots
Step II – Particles Step II – Particles boundingbounding
Each particle has a local maxima.Each particle has a local maxima. Each maxima is surrounded be local minima Each maxima is surrounded be local minima
points.points.
Step II – Particles Step II – Particles boundingbounding
Defining the right boundaries is essential Defining the right boundaries is essential for correct quantification!for correct quantification!
Boundaries too Boundaries too
wide:wide:
Step II – Particles Step II – Particles boundingbounding
Defining the right boundaries is essential Defining the right boundaries is essential for correct quantification!for correct quantification!
Boundaries too Boundaries too
narrow:narrow:
Step II – Particles Step II – Particles boundingbounding
Defining the right boundaries is essential Defining the right boundaries is essential for correct quantification!for correct quantification!
Reasonable Reasonable
boundaries:boundaries:
Step III – Calculating Step III – Calculating number of molecules in number of molecules in
each particleeach particle Summing the intensity of Summing the intensity of
each particle.each particle. Using calibration data for Using calibration data for
calculating the number of calculating the number of molecules in each molecules in each particle.particle.
Coloring each particle Coloring each particle with a color that will with a color that will indicate the number of indicate the number of molecules in it.molecules in it.
Calibration curveCalibration curve
The light output of a single probe is determined by measuring the TFI (total fluorescent intensity) of different dilutions of the probe in a fixed volume.
The TFI is plotted against the number of fluorochrome molecules to generate the calibration curve.
The slope is equal to the TFI per fluorochrome
Calibration curveCalibration curve
The final outputThe final output
AdvantagesAdvantages
Spots definition allows the user to determine Spots definition allows the user to determine which particles will be considered.which particles will be considered.
Displaying the boundaries upon the image allows Displaying the boundaries upon the image allows the user to verify the boundaries correctness.the user to verify the boundaries correctness.
The coloring of the particles is done upon the The coloring of the particles is done upon the image.image.
The final data may also be exported to an excel The final data may also be exported to an excel file.file.
Comparison to the existing Comparison to the existing tooltool
Overlapping spots gave the same Overlapping spots gave the same number of molecules in both tools.number of molecules in both tools.
Spots defined only by the old tool Spots defined only by the old tool were found to be noise rather than were found to be noise rather than real molecules.real molecules.
Comparison to the Comparison to the existing toolexisting tool
What’s next?What’s next?
Special treatment for the Special treatment for the transcription site.transcription site.
Improving the boundaries definition Improving the boundaries definition (currently, all particles are bounded (currently, all particles are bounded by squares).by squares).
Automatic de-convolution of the Automatic de-convolution of the image.image.
ThanksThanks
Dr. Yaron Shav-TalDr. Yaron Shav-Tal Mr. Yehuda BrodyMr. Yehuda Brody
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