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TOWARDS AUTOMATED HIGH CONTENT SCREENING ON A 672-MICROWELL SLIDE Emilie Weibull 1* , Sara Lindström 2,3 , Anna Segerman 4 and Helene Andersson-Svahn 1, 2 1 Division of Nanobiotechnology, Royal Institute of Technology, Albanova University Center, SWEDEN, 2 Picovitro, SWEDEN, 3 Cell and Molecular Biology, Karolinska Institute, SWEDEN and 4 Department of Genetics and Pathology, Rudbeck Laboratory, SWEDEN ABSTRACT We present an automated high content screening method for single-cell analysis on a microwell slide. The 672 wells are screened in 73 minutes, i.e. a 10-fold increase, yielding a negative/positive response using an automated confocal software. This screening method is highly sophisticated, rapid and results in high-resolution imaging. The next step is to apply the method to a heterogeneous glioma cell line using a stem cell- and astrocyte marker to study the link between marker expression and proliferation rate on single cells. The resulting images are input files in a cell analyzing software to attain information about cell density, co-localization, cell size and cell count. KEYWORDS: High Content Screening, Automated Cell Analysis, Microwell Slide, Single-Cell INTRODUCTION In high-throughput single-cell analysis the following features are often required for an efficient analysis of large numbers of individual cells: 1) fast, controlled and simple cell seeding, 2) short- or long term culturing and 3) live-cell imaging with an end-point option to screen for fluorescence expression/labels. Existing systems often lack one or more of these features limiting the true advantage of single-cell analysis. We have earlier presented a slide with methods for step 1 and 2 [1]. However, step 3 has so far been manually performed, i.e. time- and work intensive [2]. Here, we pres- ent the missing 3 rd step: an automated high content screening method for single-cell analysis on the previously presented microwell slide. A confocal microscope with an automated software called MatrixScreener was used with possible 4-channel screen- ing of all 672 wells. The high-throughput single-cell method enables a rapid and comprehensive method for detecting e.g. cell heterogeneity. The name of the raw image is connected to its position on the slide and the specific channel. This metadata is then used for keeping track of the images in the cell analyzing software. THEORY The confocal software MatrixScreener is used to create a 14 x 48 matrix, where every matrix point symbolizes a well on the slide. The matrix points have constant and identical proportions along the x, y axis and the hypotenuse is 1500 µm. The home position is adjusted after installing the slide in the confocal microscope. The range of the autofocus is set to 150 µm (maximum range 500 µm) which is scanned in 30 steps (z-axis). It is possible to choose which wells to scan and whether autofocus should be applied before or during scanning of the slide. If done before, only certain wells needs to be autofocussed to create a morphology map of the slide. After scanning the slide, the images and metadata are transferred and processed by the software Cellprofiler [3]. For each image, automatic calculations of the number of cells per well correlated to marker expression in single cells or clones can then easily be obtained. Cellprofiler identifies cells’ primary structures (nuclei) and with the help of proxim- ity to the nucleus the intensities of e.g. the marked Endoplasmatic Reticulum (ER) or cytoplasm can be identified. Cell- profiler also keeps track of the images’ positions, and places all images (multiple channels) from a specific well in an im- age set. This enables co-localization studies of proteins between cell clones or cells in different wells i.e. cell heterogeneity. The software compares the identified areas between different channels in a set. EXPERIMENTAL The previously presented microwell slide holds 672 wells in a 14 x 48 format and has a format of a standard micro- scopic slide (figure 1a-b). The microwell slide was coated with fibronectin whereupon epithelial carcinoma cells were seeded on the slide [1]. Cell growing conditions were maintained by covering the slide with a thin polydimethylsiloxane membrane and cultured for 24h, followed by immunostaining [4] with a slightly modified protocol to match the minia- turized format [2]. To facilitate high content screening of the slide a confocal microscope with a screening software was used for auto- mated imaging. The slide was placed on a motorized table (x, y and z directions) on the microscope. Each well was im- aged separately whereby the images were put together to reassemble the slide (figure 1c), showing the negative/positive (n/p) response in 672 wells in a straightforward manner. The software enables multichannel screening and overlay possibilities to identify e.g. co-localized proteins. It is possible to screen for up to 4 markers simultaneously. An op- tional pre-screening autofocus function creates a morphology map used for fast n/p response. The autofocus function can also be run on all wells when detailed cellular information is essential. 978-0-9798064-3-8/μTAS 2010/$20©2010 CBMS 965 14th International Conference on Miniaturized Systems for Chemistry and Life Sciences 3 - 7 October 2010, Groningen, The Netherlands
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Page 1: TOWARDS AUTOMATED HIGH CONTENT SCREENING ON A 672 ... · We present an automated high content screening method for single-cell analysis on a microwell slide. The 672 wells are screened

TOWARDS AUTOMATED HIGH CONTENT SCREENING ON A 672-MICROWELL SLIDE

Emilie Weibull1*, Sara Lindström2,3, Anna Segerman4 and Helene Andersson-Svahn1, 2

1Division of Nanobiotechnology, Royal Institute of Technology, Albanova University Center, SWEDEN, 2Picovitro, SWEDEN, 3Cell and Molecular Biology, Karolinska Institute, SWEDEN and

4Department of Genetics and Pathology, Rudbeck Laboratory, SWEDEN ABSTRACT

We present an automated high content screening method for single-cell analysis on a microwell slide. The 672 wells are screened in 73 minutes, i.e. a 10-fold increase, yielding a negative/positive response using an automated confocal software. This screening method is highly sophisticated, rapid and results in high-resolution imaging. The next step is to apply the method to a heterogeneous glioma cell line using a stem cell- and astrocyte marker to study the link between marker expression and proliferation rate on single cells. The resulting images are input files in a cell analyzing software to attain information about cell density, co-localization, cell size and cell count. KEYWORDS: High Content Screening, Automated Cell Analysis, Microwell Slide, Single-Cell

INTRODUCTION

In high-throughput single-cell analysis the following features are often required for an efficient analysis of large numbers of individual cells: 1) fast, controlled and simple cell seeding, 2) short- or long term culturing and 3) live-cell imaging with an end-point option to screen for fluorescence expression/labels. Existing systems often lack one or more of these features limiting the true advantage of single-cell analysis. We have earlier presented a slide with methods for step 1 and 2 [1]. However, step 3 has so far been manually performed, i.e. time- and work intensive [2]. Here, we pres-ent the missing 3rd step: an automated high content screening method for single-cell analysis on the previously presented microwell slide.

A confocal microscope with an automated software called MatrixScreener was used with possible 4-channel screen-ing of all 672 wells. The high-throughput single-cell method enables a rapid and comprehensive method for detecting e.g. cell heterogeneity. The name of the raw image is connected to its position on the slide and the specific channel. This metadata is then used for keeping track of the images in the cell analyzing software. THEORY The confocal software MatrixScreener is used to create a 14 x 48 matrix, where every matrix point symbolizes a well on the slide. The matrix points have constant and identical proportions along the x, y axis and the hypotenuse is 1500 µm. The home position is adjusted after installing the slide in the confocal microscope. The range of the autofocus is set to 150 µm (maximum range 500 µm) which is scanned in 30 steps (z-axis). It is possible to choose which wells to scan and whether autofocus should be applied before or during scanning of the slide. If done before, only certain wells needs to be autofocussed to create a morphology map of the slide. After scanning the slide, the images and metadata are transferred and processed by the software Cellprofiler [3]. For each image, automatic calculations of the number of cells per well correlated to marker expression in single cells or clones can then easily be obtained. Cellprofiler identifies cells’ primary structures (nuclei) and with the help of proxim-ity to the nucleus the intensities of e.g. the marked Endoplasmatic Reticulum (ER) or cytoplasm can be identified. Cell-profiler also keeps track of the images’ positions, and places all images (multiple channels) from a specific well in an im-age set. This enables co-localization studies of proteins between cell clones or cells in different wells i.e. cell heterogeneity. The software compares the identified areas between different channels in a set. EXPERIMENTAL

The previously presented microwell slide holds 672 wells in a 14 x 48 format and has a format of a standard micro-scopic slide (figure 1a-b). The microwell slide was coated with fibronectin whereupon epithelial carcinoma cells were seeded on the slide [1]. Cell growing conditions were maintained by covering the slide with a thin polydimethylsiloxane membrane and cultured for 24h, followed by immunostaining [4] with a slightly modified protocol to match the minia-turized format [2].

To facilitate high content screening of the slide a confocal microscope with a screening software was used for auto-mated imaging. The slide was placed on a motorized table (x, y and z directions) on the microscope. Each well was im-aged separately whereby the images were put together to reassemble the slide (figure 1c), showing the negative/positive (n/p) response in 672 wells in a straightforward manner. The software enables multichannel screening and overlay possibilities to identify e.g. co-localized proteins. It is possible to screen for up to 4 markers simultaneously. An op-tional pre-screening autofocus function creates a morphology map used for fast n/p response. The autofocus function can also be run on all wells when detailed cellular information is essential.

978-0-9798064-3-8/µTAS 2010/$20©2010 CBMS 965 14th International Conference onMiniaturized Systems for Chemistry and Life Sciences

3 - 7 October 2010, Groningen, The Netherlands

Page 2: TOWARDS AUTOMATED HIGH CONTENT SCREENING ON A 672 ... · We present an automated high content screening method for single-cell analysis on a microwell slide. The 672 wells are screened

Figure 1: a) Microwell slide (26x76 mm) with 672 wells (14x48), well bottom 650x650 µm. b) Magnification of 3x3 wells, showing the sloped well walls. c) A multiple matrix of automated images reassembling the slide in 14x48 format

with zoom factor 1.8 and a 10x objective. The wells to the left have a cell concentration of 20-30 cells / well and the ones to the right approximately 50-70 cells / well.

RESULTS AND DISCUSSION

Scanning one channel for all 672 wells in high resolution took 73 minutes (i.e. only 6,5 seconds per well) resulting in a good n/p result (figure 2a-c). This is a 10-fold increase, if compared to manual screening (roughly 1 minute/well). The time for creating a morphology map with 10 autofocus points on the slide was excluded. When the autofocus option was used during scanning for every well the resulting time was 185 minutes for one channel. For each additional channel ap-proximately 73 minutes will be added to the total screening time.

Figure 2: Magnification of one of the wells in figure 1c, magnifying a few cells (A431) showing a) nucleus b) Endoplas-

matic Reticulum (ER) and c) an overlay image of both a & b. Top scale bar: 200 µm. Bottom scale bar: 50 µm.

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Page 3: TOWARDS AUTOMATED HIGH CONTENT SCREENING ON A 672 ... · We present an automated high content screening method for single-cell analysis on a microwell slide. The 672 wells are screened

We are now developing a software that can handle the tif files from the confocal microscope and the metadata from Cellprofiler such as cell count, and co-localization in and between cells. The final output will resemble the matrix in fig-ure 1c with the relevant metadata connected to each well. By clicking on a specific well it will be enlarged and channel switching and overlay possibilities are achievable on matrix and enlarged images.

Advantages of the slide in screening applications are its thin (175µm) and flat glass bottom (minimized variation in z-position between the wells) as compared to conventional multi-well plates. By the integration of automatic cell analysis, a comprehensive method for single-cell analysis in a microwell slide is presented. The next step is to apply the method to the heterogeneous glioma cell line U2987MG with stem cell- (SOX2) and astrocyte marker (GFAP) to study the link between marker expression and proliferation rate at the single-cell level (figure 3).

Figure 3: Proposed method for sorting and analysis of single glioma cells in a 672-microwell slide, using the pre-sented automated high content screening method.

CONCLUSION The imaging of the 672-microwell slide has been successfully automated and the rate has been improved 10-fold. The system will be fully automated with the upcoming visualization software. This will for example enable visualization of co-localization in a straightforward manner. ACKNOWLEDGEMENTS The authors would like to thank the cell atlas group (within the Protein Atlas) at the Royal Institute of Technology for their expertise and help. We acknowledge Picovitro and Royal Academy of Sciences for funding the study. REFERENCES [1] S. Lindström, R. Larsson, et al., Towards high-throughput single cell/clone cultivation and analysis,

Electrophoresis, 29: 9, (2008) [2] S. Lindström, M. Eriksson, et al., High-Density Microwell Chip for Culture and Analysis of Stem Cells, PLoS

ONE, 4(9): 9, (2009) [3] A.E. Carpenter, T.R. Jones, et al., CellProfiler: image analysis software for identifying and quantifying cell

phenotypes, Genome Biology, 7(10): R100, (2006) [4] L. Barbe, E. Lundberg, et al., Toward a Confocal Subcellular Atlas of the Human Proteome, MCP, 7: 499-508,

(2008) CONTACT *Emilie Weibull, +468-5537 8340, [email protected]

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