Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cells Michael Boutros, Amy A. Kiger,...

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Genome-Wide RNAi Analysis of

Growth and Viability inDrosophila Cells

Michael Boutros, Amy A. Kiger, Susan Armknecht, Kim Kerr, Marc Hild, Britta Koch, Stefan A. Haas,Heidelberg Fly Array Consortium, Renato Paro,

Norbert Perrimon

Presented by: Noushin Farnoud

Goal

Whole Genome Sequence

Functional Analysis of predicted Genes

Using RNAi to analyze LOF phenotypesto characterize gene functions

List the putative Genes in cell growth and viability

Cell viability assay:Using Lucimnescent to correlate the

reduction of signal to dying cells

• Fluorometric method for estimating the number of viable cells in culture by quantifying the amount of ATP present.

inhibitor of apoptosis :positive control in screen

Fluorescence microscopy of Kc167 cells after 3 days treatment with RNAi

Z scores

• Indicates how far and in what direction an item deviates from its distribution's mean.

• Especially useful when seeking to compare the relative items from distributions with different means and/or different standard deviations.

Method Reproducibility (5 days)

D-IAP1 phynotypes: positive control

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arranged by 384-well plates as outlined in upperleft. Results in each plate were mean-centered before overall analysis. Grayvalues indicate z score, with darker shades representing below-averageresults.The D-IAP1 control phenotypes are evident as the dark boxes in the upper left corner of eachplate, indicative of dying cells and a lower signal.

Scatter plot of quantitative genome-wide RNAi phenotypes

Correlation=0.86

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z score (thisscore signifies the severity or rank of specificRNAi phenotypes)

Efficiency of the screen:

Positive controlNegative control

z = 2.9 +/- 0.8

• Averaged RNAi phenotypes of 72 genes encoding all annotated ribosomal proteins were tested.

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highlyrepresented functional group of genes.

Further analysis of essential gene functions: Sequence-based

Classification of Genes

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zscore >3 for these 438 samples: dsRNA resulted in greatly reduced cell number

Quantitative Reproducibility

• Phenotypes for a highly represented functional group of genes (nearly all of the tested genes encoding ribosomal components exhibited similar quantitative phenotypes).

• Analysis of the phenotypes from independent dsRNAs targeting the same gene (show similar phenotypes).

Results of Quantitative analysis

• Identified many uncharacterized genes with essential cellular roles (e.g, HDC14318 with z=6.8 and 7.3).

• Identified uncharacterized genes with phenotypes quantitatively similar to that of D-IAP1 (z score 5). Examples: CG11700, a ubiquitin-like gene, and CG15455, a gene encoding an AML1-like transcription factor (z scores 7.2 and 7.4 in Kc167 cells).

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identified uncharacterizedgenes with phenotypes quantitatively similarto that of D-IAP1 (z score � 5), raisingthe possibility that these loss-of-functionphenotypes resulted from cell death, perhapsdue to the activation of apoptosis.

Classification of quantitative RNAi phenotypes of selected genes

Flow cytometry analysis of propidium iodide stained DNA after 3 days RNAi

Identification of anti-apoptotic gene function by severity of RNAi viability

phenotypes

Results

• It suggests that the CG11700 gene may act in

the same pathway as D-IAP1 to directly prevent

Nc caspase-activated apoptotic cell death.

• In contrast, a set of essential transcription factors may regulate complex responses for cell fate, proliferation, and/or cell survival that directly or indirectly initiate a partially caspase-dependent apoptotic program.

Critiques

• Supplementary data !!!!!!

Scatter plot of quantitative genome-wide RNAi phenotypes

“For example, D-IAP1 resulted in a severephenotype with z scores of 6.1 and 7.0in S2R and Kc167 cells, respectively”.

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z score (thisscore signifies the severity or rank of specificRNAi phenotypes)

RNAi against ribosomal genes show similar quantitative phenotypes

34 genes:Similar quantitative RNAi phenotype

Total number Of annotated as ribosomalsubunits

putative falsenegativeRNAi experiments

Lucimnescent cell viability assay

• The assay determines the number of viable cells in culture by quantifying the amount of ATP present - a marker of metabolically active cells.The assay is designed for 96 or 384 well formats, making it ideal for automated high throughput screening (HTS), of cell proliferation and cytotoxicity assays.A homogeneous 'add, mix and measure' format makes the CellTiter-Glo assay simple to use with no cell washing, media removal or multiple pipetting steps.Measurements can be made on a CCD camera imaging device or a plate reading luminometer (no injector is required) as little as 10 minutes after addition of the reagent.

• The CellTiter-Blue™ Cell Viability Assay is a homogeneous,• fluorometric method for estimating the number of viable• cells present in a cell population.• Similar to a video camera, digital camera use the lens which focuses the image onto

a Charge Coupled Device (CCD), which then converts the image into electrical pulses. These pulses are then saved into memory.

• In short, Just as the film in a conventional camera records an image when light hits it, the CCD records the image electronically.

Z scores

• Indicates how far and in what direction an item deviates from its distribution's mean.

• Especially useful when seeking to compare the relative standings of items from distributions with different means and/or different standard deviations.

• The number of standard deviations that a measurement is from the mean. This quantity indicates the relative location of a measurement within its distribution.