1
SYTOX® AADvanced TM Red CellEvent TM 3/7 Green Percent of Max Percent of Max Flow Cytometry Multiplexing and its Use in Detailed Characterization of Cell Health Jeff Haskins, Michael O’Grady, Michelle Yan, Marcy Wickett & Leticia Montoya Thermo Fisher Scientific, Molecular Probes, Eugene, OR, USA Figure 1a. Varioskan™ High Throughput Screening of Ramos Cells with PrestoBlue Cell Viability Reagent Cells were plated at 40,000 cells per well and treated with 10 µM of each drug from the Killer Collection from MicroSource Discovery Systems, Inc. and cultured under standard conditions and either at hypoxic (1% O 2 ) or hyperoxic (19% O 2 ) levels using a Heracell™ VIOS 160i Tri- Gas Incubator. Cells were incubated at three time periods with the compound library. At 24, 48, and 72 hours post compound treatment, cells were assayed with either PrestoBlue Cell Viability Reagent or LIVE/DEAD Fixable Aqua Dead Cell Stain. These were analyzed with either the Varioskan TM Flash Multimode Reader or the Attune TM NxT Acoustic Focusing Cytometer. © 2017 Thermo Fisher Scientific Inc. All rights reserved. All Thermo Fisher Scientific and its subsidiaries unless otherwise specified Thermo Fisher Scientific • 5791 Van Allen Way • Carlsbad, CA 92008 • www.lifetechnologies.com. For research use only. Not for use in diagnostic procedures. Figure 2. Gambogic acid is more potent than the amide form ABSTRACT High throughput screening (HTS) is an extremely effective method for allowing researchers to identify putative compounds of interest which play a role in their area of cellular research. Recently, flow cytometry has emerged as a powerful HTS tool with the added benefit of cell-by-cell analysis. Flow cytometry not only allows a researcher to study drug effectiveness towards different cell types but also can be used to analyze protein-protein interactions, metabolic activities, as well as DNA/mRNA content in a single or multiplexed assay format. In this study, we screened the MicroSource Discovery System Killer Plate compound library and compared HTS using a plate reader with flow cytometer multiplexing. Jurkat and Ramos cells, T and B lymphocyte cell types respectively, were used as cell models and cultured under standard conditions and screened either at hypoxic (1% ) or hyperoxic (19%) oxygen levels at varied lengths of time (24, 48, or 72 hrs). To assess compound veracity, post-screening analysis was implemented to establish EC50s of “hits” from the compound library. Membrane integrity and metabolic activity were measured as an initial screening output for evaluating cellular viability. Using the multiplexed capabilities of flow cytometry, we performed secondary and tertiary assays to further characterize the possible mechanism of action by analysis of cell cycle, specific RNA expression levels, oxidative stress, and caspase activation across differing concentrations of the compounds. This method and analysis highlights the complicated nature of assessing toxicity in cellular screening assays and the advantages of Flow Cytometry in particular for characterizing cell health. RESULTS Screening 0 24 48 72 96 120 144 168 192 1 10 100 Ramos 24 hours PrestoBlue Sample # RFU 2. 7. 101. 110. 175. 2. 7. 101. 110. 175. 1% O 2 19% O 2 0 24 48 72 96 120 144 168 192 1 10 100 Ramos 24 hours Fixable Live Dead Aqua Sample # % Dead Cells 2. 7. 101. 110. 175. 2. 7. 101. 110. 175. Selected hits Figure 3. Flow allows for detailed characterization of the cell cycle Figure 4. Caspase Assay Confirms Differential Potency of Gambogic Acid Apoptotic Cells G0/G1 G2/M S Apoptotic Cells G0/G1 G2/M S Control 6 µg GA FxCycle TM Violet Click-it® EdU AF647 Control 6 µg GA FxCycle TM Violet Count Figure 5. PrimeFlow TM RNA allows for detailed characterization of RNA and Protein Levels High fluorescence Low fluorescence PrestoBlue® Cell Viability Reagent Cell viability as indicated by the fluorescence of reduction product. Resazurin (PrestoBlue reagent) is reduced by the intracellular environment of living cells. ~Z= 0.7 Cell viability was determined by measuring the fluorescence intensity of total cells per well using a Varioskan Flash plate reader. LIVE/DEAD® Fixable Aqua Dead Cell Stain Cell viability evaluated based on cell membrane integrity. For cells with compromised plasma membranes, amine reactive dye labels both the cell surface and the cell interior. For intact cells, dye labels only the cell surface. Cell viability was determined by the mean fluorescent intensity (MFI) of total cell population. ~Z= 0.8 Figure 1b. Attune TM NxT High Throughout Screening of Ramos Cells with LIVE/DEAD Fixable Aqua Dead Cell Stain Attune TM NxT Autosampler HTS: “Cherry Picking”: Different Readouts Confirm Potency of Drug Jurkat O 2 19% Jurkat O 2 1% Ramos O 2 19% Ramos O2 1% 0.01 0.1 1 10 100 0 50 100 150 Gambogic Acid Amide #7 (Fixable Live Dead Aqua) Gambogic Acid Amide (µM) Normalized MFI 0.01 0.1 1 10 100 0 50 100 150 Gambogic Acid Amide #7 (Presto Blue) Gambogic Acid Amide (µM) Normalized RFU Jurkat O 2 19% Jurkat O 2 1% Ramos O 2 19% Ramos O2 1% 0.01 0.1 1 10 100 0 50 100 150 Gambogic Acid #2 (Fixable Live Dead Aqua) Gambogic Acid (µM) Normalized MFI 0.01 0.1 1 10 100 0 50 100 150 Gambogic Acid #2 (Presto Blue) Gambogic Acid (µM) Normalized RFU Gambogic Acid Response EC 50 PrestoBlue LIVE/DEAD 19% O 2 1% O 2 19% O 2 1% O 2 0.6 µM 0.6 µM Jurkat ~0.6 µM ~0.5 µM 0.2 µM 0.2 µM Ramos ~0.3 µM ~0.3 µM Gambogic Acid Amide Response EC 50 PrestoBlue LIVE/DEAD 19% O 2 1% O 2 19% O 2 1% O 2 1.3 µM 1.5 µM Jurkat 2.5 µM 2.8 µM 0.5 µM 0.4 µM Ramos 1.0 µM 2.3 µM Secondary Assays: Test mechanism of Action Gambogic Acid Response EC 50 CellEvent 3/7 Green 19% O 2 1% O 2 Jurkat 2.1 µM 1.7 µM Ramos 0.8 µM 0.6 µM FMO Hif1α FMO Hif1α Hif1 alpha Protein Hif1 alpha PrimeFlow RNA Percent of Max Percent of Max SUMMARY • Jurkat and Ramos cells displayed differential responses to compound treatment when studied across cell health, cell cycle and RNA expression assays. • Cell health determination based on reduction potential of the cell using an HTS plate reader format and membrane integrity assay using flow cytometry showed higher potency of Gambogic Acid than it’s derivative compound Gambogic Acid Amide. • The statistics of flow cytometry allow for more detailed characterization of “hits” • Biological applications on flow cytometry (Click-it EdU, Fixable LIVE/DEAD, PrimeFlow RNA, etc…) allow for a more specific analysis of a compound’s possible mechanism of action. • Future directions- Further analysis of “hits” or lead compounds to include assays shown here and an expanded miRNA panel. • Dysfunctional expression of microRNAs is a common feature in leukemia diseases, comparing the expression profiles of Burkitt’s lymphoma (B-cells) and T-cell acute lymphoblastic leukemia (T-cells) cells , microRNA 342-3p shows higher expression levels in B-cells (Ramos-) than in T-cells (Jurkat). • Introducing hypoxic conditions to T- and B-cells demonstrates microRNA levels are diverse. We show that common mciroRNAs such as let-7a are up-regulated in hypoxic conditions (1% O 2 ). • Human RPL13a is a housekeeping gene that is shown to stay consistent across the two oxygen levels tested. • Click-it® EdU allows for full cell cycle analysis on the Attune NxT flow cytometer. •A greater number of proliferating cells is observed at 1% vs 19% oxygen levels. • CellEvent TM Caspase-3/7 Green gives characteristics of lysed-, apoptotic-, and normal cells. • Hif1α is a tumor suppressor gene and is up-regulated in hypoxic conditions. The duration of hypoxia incubation may promote or inhibit leukemia progression and maintenance, thus explaining the oncogenic or tumor suppressor activity. 272 B112

Flow CytometryMultiplexing and its Use in Detailed … · 2017. 8. 28. · CellEventTM3/7 Green SYTOX® AADvancedTMRed x x Flow CytometryMultiplexing and its Use in Detailed Characterization

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  • SYTOX® AADvancedTM RedCellEventTM 3/7 Green

    Perc

    ent o

    f Max

    Perc

    ent o

    f Max

    Flow Cytometry Multiplexing and its Use in Detailed Characterization of Cell Health

    Jeff Haskins, Michael O’Grady, Michelle Yan, Marcy Wickett & Leticia MontoyaThermo Fisher Scientific, Molecular Probes, Eugene, OR, USA

    Figure 1a. Varioskan™ High Throughput Screening of Ramos Cells with PrestoBlue Cell Viability Reagent

    Cells were plated at 40,000 cells per well and treated with 10 µM of each drug from the KillerCollection from MicroSource Discovery Systems, Inc. and cultured under standard conditionsand either at hypoxic (1% O2) or hyperoxic (19% O2) levels using a Heracell™ VIOS 160i Tri-Gas Incubator. Cells were incubated at three time periods with the compound library. At 24,48, and 72 hours post compound treatment, cells were assayed with either PrestoBlue CellViability Reagent or LIVE/DEAD Fixable Aqua Dead Cell Stain. These were analyzed witheither the VarioskanTM Flash Multimode Reader or the AttuneTM NxT Acoustic FocusingCytometer.

    © 2017 Thermo Fisher Scientific Inc. All rights reserved. All Thermo Fisher Scientific and its subsidiaries unless otherwise specified Thermo Fisher Scientific • 5791 Van Allen Way • Carlsbad, CA 92008 • www.lifetechnologies.com. For research use only. Not for use in diagnostic procedures.

    Figure 2. Gambogic acid is more potent than the amide form

    ABSTRACTHigh throughput screening (HTS) is an extremely effective method for allowingresearchers to identify putative compounds of interest which play a role in theirarea of cellular research. Recently, flow cytometry has emerged as a powerfulHTS tool with the added benefit of cell-by-cell analysis. Flow cytometry not onlyallows a researcher to study drug effectiveness towards different cell types butalso can be used to analyze protein-protein interactions, metabolic activities, aswell as DNA/mRNA content in a single or multiplexed assay format.In this study, we screened the MicroSource Discovery System Killer Platecompound library and compared HTS using a plate reader with flow cytometermultiplexing. Jurkat and Ramos cells, T and B lymphocyte cell typesrespectively, were used as cell models and cultured under standard conditionsand screened either at hypoxic (1% ) or hyperoxic (19%) oxygen levels at variedlengths of time (24, 48, or 72 hrs). To assess compound veracity, post-screeninganalysis was implemented to establish EC50s of “hits” from the compoundlibrary. Membrane integrity and metabolic activity were measured as an initialscreening output for evaluating cellular viability. Using the multiplexedcapabilities of flow cytometry, we performed secondary and tertiary assays tofurther characterize the possible mechanism of action by analysis of cell cycle,specific RNA expression levels, oxidative stress, and caspase activation acrossdiffering concentrations of the compounds. This method and analysis highlightsthe complicated nature of assessing toxicity in cellular screening assays and theadvantages of Flow Cytometry in particular for characterizing cell health.

    RESULTSScreening

    0 2 4 4 8 7 2 9 6 1 2 0 1 4 4 1 6 8 1 9 21

    1 0

    1 0 0

    R a m o s 2 4 h o u r sP re s to B lu e

    S a m p le #

    RF

    U 2 . 7 .

    1 0 1 .1 1 0 . 1 7 5 .

    2 .

    7 . 1 0 1 .

    1 1 0 .

    1 7 5 .

    0 2 4 4 8 7 2 9 6 1 2 0 1 4 4 1 6 8 1 9 21

    1 0

    1 0 0

    R a m o s 2 4 h o u r sP re s to B lu e

    S a m p le #

    RF

    U 2 . 7 .

    1 0 1 .1 1 0 . 1 7 5 .

    2 .

    7 . 1 0 1 .

    1 1 0 .

    1 7 5 .

    1% O219% O2

    0 2 4 4 8 7 2 9 6 1 2 0 1 4 4 1 6 8 1 9 21

    1 0

    1 0 0

    R a m o s 2 4 h o u r sF ix a b le L iv e D e a d A q u a

    S a m p le #

    % D

    ea

    d C

    ell

    s

    2 .

    7 .1 0 1 .

    1 1 0 .

    1 7 5 .

    2 .7 .

    1 0 1 .

    1 1 0 .

    1 7 5 .

    Selected hits

    Figure 3. Flow allows for detailed characterization of the cell cycle

    Figure 4. Caspase Assay Confirms Differential Potency of Gambogic Acid

    Apoptotic Cells

    G0/G1G2/M

    S

    Apoptotic Cells

    G0/G1G2/M

    SControl 6 µg GA

    FxCycleTM Violet

    Clic

    k-it®

    EdU

    AF6

    47

    Control 6 µg GA

    FxCycleTM Violet

    Cou

    nt

    Figure 5. PrimeFlowTM RNA allows for detailed characterization of RNA and Protein Levels

    High fluorescenceLow fluorescence

    PrestoBlue® Cell Viability ReagentCell viability as indicated by the fluorescence of reduction product. • Resazurin (PrestoBlue reagent) is reduced by the intracellular environment of

    living cells. ~Z’ = 0.7• Cell viability was determined by measuring the fluorescence intensity of total

    cells per well using a Varioskan™ Flash plate reader.

    LIVE/DEAD® Fixable Aqua Dead Cell Stain Cell viability evaluated based on cell membrane integrity.• For cells with compromised plasma membranes, amine reactive dye labels

    both the cell surface and the cell interior. For intact cells, dye labels only the cell surface.

    • Cell viability was determined by the mean fluorescent intensity (MFI) of total cell population. ~Z’ = 0.8

    Figure 1b. AttuneTM NxT High Throughout Screening of Ramos Cells with LIVE/DEAD Fixable Aqua Dead Cell Stain

    AttuneTM NxT Autosampler HTS: “Cherry Picking”: Different Readouts Confirm Potency of Drug

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    A m s a c r in e # 1 1 0(F ix a b le L iv e D e a d A q u a )

    A m s a c rin e (µ M )

    No

    rma

    lized

    MF

    I

    J u rk a t O 2 1 9 %

    J u rk a t O 2 1 %

    R a m os O 2 1 9 %

    R a m o s O 2 1 %

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    G a m b o g ic A c id A m id e # 7(F ix a b le L iv e D e a d A q u a )

    G a m b o g ic A c id A m id e (µ M )

    No

    rma

    lized

    MF

    I J u rk a t O 2 1 %R a m o s O 2 1 9 %R a m o s O 2 1 %

    J u rk a t O 2 1 9 %

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    G a m b o g ic A c id A m id e # 7(P re s to B lu e )

    G a m b o g ic A c id A m id e (µ M )

    No

    rma

    lize

    d R

    FU

    J u rk a t O 2 1 9 %

    J u rk a t O 2 1 %

    R a m o s O 2 1 9 %

    R a m o s O 2 1 %

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    A m s a c r in e # 1 1 0(F ix a b le L iv e D e a d A q u a )

    A m s a c rin e (µ M )

    No

    rma

    lized

    MF

    I

    J u rk a t O 2 1 9 %

    J u rk a t O 2 1 %

    R a m os O 2 1 9 %

    R a m o s O 2 1 %

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    G a m b o g ic A c id # 2(F ix a b le L iv e D e a d A q u a )

    G a m b o g ic A c id (µ M )

    No

    rma

    lized

    MF

    I J u rk a t O 2 1 %

    R a m o s O 2 1 9 %

    R a m o s O 2 1 %

    J u rk a t O 2 1 9 %

    0 .0 1 0 .1 1 1 0 1 0 00

    5 0

    1 0 0

    1 5 0

    G a m b o g ic A c id # 2(P re s to B lu e )

    G a m b o g ic A c id (µ M )

    No

    rma

    lize

    d R

    FU

    J u rk a t O 2 1 9 %

    J u rk a t O 2 1 %

    R a m o s O 2 1 9 %

    R a m o s O 2 1 %

    Gambogic Acid Response EC50PrestoBlue LIVE/DEAD

    19% O2 1% O2 19% O2 1% O20.6 µM 0.6 µM Jurkat ~0.6 µM ~0.5 µM0.2 µM 0.2 µM Ramos ~0.3 µM ~0.3 µM

    Gambogic Acid Amide Response EC50PrestoBlue LIVE/DEAD

    19% O2 1% O2 19% O2 1% O21.3 µM 1.5 µM Jurkat 2.5 µM 2.8 µM0.5 µM 0.4 µM Ramos 1.0 µM 2.3 µM

    Secondary Assays: Test mechanism of Action

    Gambogic Acid Response EC50CellEvent 3/7 Green19% O2 1% O2

    Jurkat 2.1 µM 1.7 µMRamos 0.8 µM 0.6 µM

    FMO Hif1α

    FMOHif1α

    Hif1 alpha Protein Hif1 alpha PrimeFlow RNA

    Perc

    ent o

    f Max

    Perc

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    f Max

    SUMMARY• Jurkat and Ramos cells displayed differential responses to compound

    treatment when studied across cell health, cell cycle and RNA expressionassays.

    • Cell health determination based on reduction potential of the cell using anHTS plate reader format and membrane integrity assay using flowcytometry showed higher potency of Gambogic Acid than it’s derivativecompound Gambogic Acid Amide.

    • The statistics of flow cytometry allow for more detailed characterization of“hits”

    • Biological applications on flow cytometry (Click-it EdU, Fixable LIVE/DEAD,PrimeFlow RNA, etc…) allow for a more specific analysis of a compound’spossible mechanism of action.

    • Future directions- Further analysis of “hits” or lead compounds to includeassays shown here and an expanded miRNA panel.

    • Dysfunctional expression of microRNAs is a common feature in leukemiadiseases, comparing the expression profiles of Burkitt’s lymphoma (B-cells)and T-cell acute lymphoblastic leukemia (T-cells) cells , microRNA 342-3pshows higher expression levels in B-cells (Ramos-) than in T-cells (Jurkat).

    • Introducing hypoxic conditions to T- and B-cells demonstrates microRNAlevels are diverse. We show that common mciroRNAs such as let-7a areup-regulated in hypoxic conditions (1% O2).

    • Human RPL13a is a housekeeping gene that is shown to stay consistentacross the two oxygen levels tested.

    • Click-it® EdU allows forfull cell cycle analysis onthe Attune NxT flowcytometer.

    • A greater number ofproliferating cells isobserved at 1% vs 19%oxygen levels.

    • CellEventTM Caspase-3/7 Green gives characteristics of lysed-, apoptotic-,and normal cells.

    • Hif1α is a tumor suppressor gene and is up-regulated in hypoxic conditions.The duration of hypoxia incubation may promote or inhibit leukemiaprogression and maintenance, thus explaining the oncogenic or tumorsuppressor activity.

    272 B112