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Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

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Page 1: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Quantification of fluorescent signals

Sabine Mai, Ph.D.Manitoba Institute of Cell Biology

Page 2: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Goals:

Reliable analysis of data

Comparison of fluorescent and molecular data

Valid conclusions

Precision of data

Special goals for this workshop:

Rules of quantifications - relationship to other methods - relate this experience to own research program..

Page 3: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Reliable analysis of data using fluorescence

Qualitative vs.quantitative analysis

FISH signals: how many and where?how intense (deletion vs. amplification)

Protein signals: where? How many?How much protein is expressed?

Controls: what are appropriate controls?

Page 4: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Comparison of fluorescent and molecular data

FISH: how does it relate to other techniques? How can it be compared? Single cell vs. whole cell population.Precision and combination with other techniques.Morphology.

Protein: how does it relate to other techniques?Protein analysis of individual cells and of populationsProtein localization studies. Precision.Morphology.

Page 5: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Valid conclusions.

Data can be measured and compared between research andclinical laboratories.

Data are stored and archived and can be revisited any time.

Specific software makes analysis independent of user:valid, reliable, objective.

Page 6: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Precision of data.

•Individual genes, •protein localization and movement,•chromosome structure and changes, •three-dimensional (3D) localization within theinterphase nucleus.

Page 7: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Spectral Imaging

Qualitative analysis: genomic rearrangements.

Page 8: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

SKY on primary cells (normal cells).

Additional methods:

M-FISH, painting, FISH, Southern.

Page 9: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Three-dimensional analysis of the interphase nucleus.

Measurement of relative positions within the nucleus in m scale.

Trisomy 11.

Page 10: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

QuickTime™ and aIntel Indeo® Video 5.0 decompressor

are needed to see this picture.

Page 11: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

Pirmary cell with normal chromosome 11.

Additional methods:

None.

Page 12: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Chromosome painting.

Measurement of length of duplicated chromosome bands.

Page 13: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

Normal cells (primary cells) without chromosomalchanges.

Additional methods:

Southern blot

Page 14: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Centromere FISH.

Evaluation of centromere numbers and sizes.

Page 15: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

Internal control for centromere length

Additional methods:

Cytometry analysis of centromere length by FACS.

Page 16: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Q-FISH.

Measurement of telomere length.

Page 17: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

Internal control for telomere length

Additional methods:

Southern blot to measure relative telomere length

Cytometry analysis of telomere length by FACS.

Page 18: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Fluorescent immunohistochemistry.

Measurement of protein levels andprotein location.

Page 19: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

- Antibody controls- Cells that serve as positive and negative controls.

Additional methods:

Western analysis.

Page 20: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Fluorescent immunohistochemistry.

Single cell and population analyses.

Page 21: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Controls:

- Antibody controls- Cells that serve as positive and negative controls.

Additional methods:

Western analysis.Disadvantages:

- no single cell analysis, only populationanalysis;- simultaneous analysis of several parameters is not possible;- localization of protein(s) is not as obvious.Contaminationissues;- morphology of cell(s) is absent in Western blot.

Page 22: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Goals for the workshop:

Acquisition of images and analysis on different workstations.Focus today: telomeres, protein, and later 3D analysis.

Analysis/measurements with different software packages:

• Northern Eclipse• Applied Imaging• Teloquant

Page 23: Quantification of fluorescent signals Sabine Mai, Ph.D. Manitoba Institute of Cell Biology

Please see Kim for the distribution of groups

at different workstations

and computers.