1
Scott T. Clarke 1 , Jolene A. Bradford 1 , Shayne Boucher 2 , Lucas G. Chase 3 , and Mohan Vemuri 2 , 1 Molecular Probes ® Division – Life Technologies, 29851 Willow Creek Rd • Eugene, Oregon • USA 2 Primary & Stem Cells Systems – Life Technologies • 7305 Executive Way • Frederick, MD • USA 3 Cellular Systems Division – Life Technologies • 501 Charmany Drive • Madison, Wisconsin • USA RESULTS INTRODUCTION Adult human mesenchymal stem cells (hMSC) are rare fibroblast-like cells capable of differentiating into a variety of cell types including bone, cartilage, and fat cells. They have been shown to promote tumorigenesis and progression of cancer. Conventional surface markers used to define hMSCs are CD73, CD90, and CD105 positive and CD14, CD19, CD34, CD45 and HLA-DR negative. 1 Shifts in phenotypic and proliferation profiles of hMSC through multiple passaging reveal changes that are characteristic of gradual lineage restriction. 2 To characterize these cells at a single cell level, we performed multi-parametric flow cytometry combining eight surface marker panel analysis with DNA content and cell proliferation on two hMSC sources over multiple passages. MATERIALS AND METHODS Frozen seed stock from adipose derived stem cells (ADSC) (Invitrogen) and bone marrow derived hMSC (BMSC) (Lonza -four patient pool) were plated into serum free medium at an initial density of 1500 cells/cm 2 (assuming >95% viability). Cultures were grown and expanded in T75 flasks (Greiner) pre-coated with CELLStart™ (Invitrogen) in the serum free media, StemPro ® MSC SFM (Invitrogen) supplemented with L-glutamine (2 mM). Half of the flasks were also supplemented with a human derived lipoprotein supplement. Cells were serially passaged using TrypLE™ Express (Invitrogen) upon reaching near confluency, and reseeded to a density of 3000 cells/cm 2 . Passage number was defined by the growth in the medium used in the study. During passages 3 and 7, cultures were treated twice daily for 4 hours with 60 μM 5-ethynyl-2-deoxyuridine (EdU) immediately prior to harvesting. Similarly, for the other passages, replicate flasks were treated with EdU just prior to the time of passaging. 3,4 After harvesting, the cells were paraformaldehyde fixed and stored at 4° C in 1% BSA/DPBS until labeling. The labeling procedure requires permeabilizing the fixed cells with 0.1% Triton ® X-100 in phosphate buffered saline (DPBS), followed by labeling with Click-iT ® EdU Alexa Fluor® 647 azide (Invitrogen). 3,4 The cells were washed, and labeled with antibody dye conjugates (table 1). Following a final wash, FxCycle™ Violet stain (Invitrogen) was added. Data acquisition and analysis was performed using the 405 nm, 488 nm, and 633 nm laser lines on a BD™ LSR II flow cytometer with BD FACSDiva™ 6.1 software. Spectral compensation was adjusted using a combination of hMSC and the AbC™ anti-mouse bead kit (Invitrogen) for labeling of single-color controls. 5,6 Gating for immunophenotypic analysis was determined using Fluorescence Minus One (FMO) controls in dual parameter plots to define positive and negative populations. 5,6 Percent proliferating cells was determined in single parameter Click-iT ® EdU measurement and by combining Click-iT ® EdU measurement with the DNA content measurement obtained with FxCycle™ Violet stain for dual parameter analysis. Cell cycle was modeled using ModFit LT™ (Verity Software) to determine fitted S-phase fraction (% proliferation) and compared to the percent proliferating cells determined by Click-iT ® EdU analysis (data not shown). Proliferative and phenotypic characterization of human mesenchymal stem cells by flow cytometry and imaging Life Technologies • 5791 Van Allen Way • Carlsbad, CA 92008 • www.lifetechnologies.com Table 1. Immunophenotype Panel 450/50 405 FxCycle™ Violet stain DNA content 660/20 633 Click-iT ® EdU Alexa Fluor ® 647 azide Cell proliferation 780/60 488 Qdot ® 800 CD34 HLA-DR CD45 CD19 575/26 488 R-PE CD14 730/30 633 Alexa Fluor ® 700 CD105 530/30 488 FITC CD90 675/20 488 PerCP CD73 Emission Bandpass Excitation Laser (nm) Fluorophore Marker Figure 1. Flow Cytometric Analysis Immunophenotype as measured by flow cytometry is among the criteria for identifying hMSC proposed by an ISCT position paper in 2006, which states that 95% of the hMSC population must express CD105, CD73, and CD90 and the same cells must lack (2% positive) expression of CD45, CD34, CD14 or CD11b, CD79a or CD19, and HLA-DR. 1 Recent studies have shown that CD34 may have positive expression in early passages. 2 Flow cytometry is one of the most powerful technologies that is routinely used to measure multiple parameters in a single sample. 5-7 For this study, a flow cytometric panel was developed which combines immunophenotypic and functional testing in a ten-marker, seven-color panel (table 1) to test for antigen expression as well as measure proliferation and DNA content, providing more information with a minimum of sample. The markers which are expected to be negative (CD14, CD19, CD45, HLA-DR) are measured within the same fluorescent channel while the other markers and functional tests are measured in a separate channels (CD90, CD73, CD105, CD34, proliferation and DNA content). In multicolor flow cytometry, spectral overlap between the fluorophores needs to be eliminated using a mathematical process knows as compensation, but which may result in unexpected distribution (spread) of data and an inability to bring the extent of compensated data down to the autofluorescence level of unlabeled cells. The use of staining controls which include all reagents except for the one of interest, Fluorescence Minus One (FMO) controls, allows a precise definition for cut-off of positive and negative populations. 5-7 The proliferative state of the cells can be measured using Click-iT ® EdU, which in dual parameter testing with DNA content can very accurately measure the percentage of cells that are proliferating. 4 No percent change to either positive or negative markers was observed for any of the samples and conditions tested from passage 1 through passage 7. Figure 1A: (left) Demonstrates the use of FMO controls to determine gating of immunophenotypic parameters. Columns A and B shows dual parameter plots with FMO controls used for defining gating. Column C shows dual parameter plots with hMSC labeled with the full panel demonstrating that immunophenotype falls within defining criteria. Column D shows individual marker histograms of the full hMSC panel testing. Figure 1B: (below) Demonstrates proliferation and DNA content measurements E. Initial gating on singlet cells to eliminate cell aggregates from the analysis, based on signal width vs signal area (called pulse processing); all subsequent plots are gated on this singlet gate F. Histogram of the proliferation measurement as labeled with the Click-iT ® EdU azide G. Histogram of DNA content as measured with FxCycle™ Violet stain H. Dual parameter plot combining DNA content and proliferation measurements with region defining the dual positive region, the proliferating cells. FMO-No FITC CD90-FITC Negative cocktail-rPE 99.9% FMO-No PE CD90-FITC Negative cocktail-rPE 100% Full panel CD90-FITC Negative cocktail-rPE 100% Full panel CD90-FITC CD34-Qdot ® 800 100% FMO-No PerCP CD90-FITC CD73-PerCP 99.7% FMO-No FITC CD90-FITC CD34-Qdot ® 800 100% FMO-No Alexa Fluor ® 700 CD90-FITC CD105-AlexaFluor ® 700 99.1% 0.9% FMO-No FITC CD90-FITC CD105-AlexaFluor ® 700 99.7% 0.1% 0.2% Full panel CD90-FITC CD105-AlexaFluor ® 700 99.6% 0.4% FMO-No FITC CD90-FITC CD73-PerCP 99.7% 0.3% CD90-FITC CD73-PerCP Full panel 99.5% 0.5% 0.3% CD90-FITC CD34-Qdot ® 800 100% FMO-No Qdot ® 800 CD90-FITC CD73-PerCP CD34-Qdot ® 800 Negatives-rPE CD105-Alexa Fluor® 700 FxCycle™ Violet DNA content FxCycle™ Violet Width Signal FxCycle™ Violet Area Signal Click-iT ® EdU Alexa Fluor ® 647 azide 21.3% Click-iT ® EdU Alexa Fluor ® 647 azide FxCycle™ Violet DNA content 21.5% E F G H Figure 2: The relation between proliferation rate, cell origin, passage number, and confluency was examined. Images taken with phase contrast microscopy (10X objective) to estimate degree of confluency were compared to proliferation rates determined by Click-iT ® EdU labeling (insert of dual parameter plot of DNA content vs. EdU signal showing gated region defining % proliferation). 2A: Low passage cultures with low confluency have high % proliferation. 2B: Percent proliferation drops dramatically as cell density approaches confluency independent of passage number. 2C: Low passage confluent cultures with near zero % proliferation achieve very high proliferation rates after 24 hours from expansion. 2D: Late passage low confluency cultures have reduced % proliferation reflective of nearing their limited proliferative potential. 2A Figure 2. Proliferation Measurements 2C ADSC P7 day 4 ADSC P7 day 5 28.4 % 3.4 % ADSC P3 day 2 ADSC P3 day3 26.6 % 34.2 % BMSC P7 day4 BMSC P7 day5 16.7 % 12.6 % 2B 2D ADSC + lipoprotein P2 day 4 0.9 % ADSC + lipoprotein P3 day 2 56.7 % Figure 3. Cell Proliferation: Click-iT ® EdU labeling Figure 3: Proliferation rate measured by Click-iT ® EdU labeling during the course of a passages 3 and 7. 3A: Image shows EdU incorporated proliferating cells are detected with click chemistry. Nuclei of proliferating cells are labeled pink with Alexa Fluor ® 594 azide. DNA content labeled with Hoechst 33342 in blue. Overlay with DIC phase contrast shows spindle shape cellular morphology typical of hMSCs at low passage number. By imaging, proliferative index is determined by the ratio of % positive EdU cells to total cell. Image acquired on DeltaVision ® Core (API Issaquah, WA). 3B: Schematic of click chemistry labeling to determine % proliferation. EdU, when added to complete medium is incorporated into proliferating cells. After fixation and permeabilization, incorporated EdU is detected by click reaction of a fluorescently modified azide dye. 3C-3D: Percent proliferation as measured by EdU signal in passages 3 and 7 of ADSC and BMSC. Cultures from passage 3 with higher % proliferation rates reach confluency before P7 cultures. Medium replacement stimulates proliferation especially during cultures at low passage. Figure 4: Characterization of differentiated tissue derived from hMSC. Using medium specifically formulated to differentiate hMSC (StemPro ® osteogenesis, adipogenesis, or chrondrogenesis differentiation medium) , confirmation of terminal differentiation is made by staining for characteristic markers. Traditional methods use colorimetric stains like Oil Red O for adipocytes, Alcian Blue for chondrocytes, and alkaline phosphatase or Alazarin Red S for osteoblasts (fig. 4A-4D, respectively). Growth in adipogenesis differentiation medium (Invitrogen) differentiates hMSC to adipocytes which form lipid vesicles detected after staining with LipidTOX™ Green neutral lipid stain (Invitrogen). Nuclear counterstain with Hoechst 33342 (blue) (fig. 4E). DIC image shows adipocyte lipid droplets appear as refractile bodies within the cell (fig. 4F). % proliferation ADSC 0 5 10 15 20 25 30 35 40 45 50 55 60 65 0 20 40 60 80 100 120 time (hrs) P3 P7 % proliferation BMSC 0 5 10 15 20 25 30 35 40 45 50 55 60 65 0 20 40 60 80 100 120 time (hrs) P3 P7 Cu (I) DNA = Alexa Fluor ® dye Incorporation into DNA 4A 4B Medium replacement EdU added to culture medium 4A 4C 4E 4D 4F 3A EdU Hoechst 3B Medium replacement 3C 3D Figure 4. Terminal differentiation of hMSC Labeling with click chemistry Figure 5: Expansion of hMSC over multiple passages provides cells for experimental applications. Cumulative cell number of passage 3 (fig. 5A) and during the proliferative lifetime of the culture (fig. 5B) show effects of serum free medium supplemented with lipoprotein. Rapid proliferation at low passage results in higher yield of late passage cells in both ADSC and BMSC. Figure 5. Proliferation and cell yield CONCLUSIONS A multi-parameter immunophenotype panel was created which can be used to efficiently characterize hMSC while using a minimum number of cells. A direct measurement of S-phase synthesis using EdU incorporation detected with click chemistry is compatible with immunophenotype characterization. EdU plus DNA content measurement when combined with immunophenotyping creates information-rich data from a single sample. hMSCs immunophenotype profile examined during this experiment did not shift during multiple passages in serum free medium. Proliferation rates are affected by passage, medium replacement, and confluency. Late passage growth rates of hMSCs can be improved by augmenting culture medium with a lipoprotein supplement. Immunofluorescence imaging methods can be used for examining % proliferation and for characterizing terminally differentiated cells derived from hMSCs. REFERENCES 1. Dominci, M et al.; Cytotherapy 2006, 8(4):315- 317 2. Roche, S et al.; Proteomics 2009, 9:223-232 3. Salic, A et al.; PNAS U S A. 2008, 105(7):2415-2420 4. Buck, S et al.; BioTechniques 2008, 44(9):27-929 5. Roederer, M; Cytometry Part A. 2001, 45:194–205 6. Perfetto, S et al.; Nature 2004, 40:649-655 7. Baumgarth, N et al.; J Immun Methods 2000, 243:77-97 ACKNOWLEDGEMENTS The authors gratefully acknowledge the efforts of Tami Nyberg and John Ivanovitch from Molecular Probes ® division of Life Technologies for their assistance with cell culturing and data collection. Cumulative cell growth of passage 1-8 0.0E+00 5.0E+06 1.0E+07 1.5E+07 2.0E+07 2.5E+07 3.0E+07 0 5 10 15 20 25 30 35 40 time (days) total cell count ADSC ADSC + lipoprotein BMSC BMSC + lipoprotein 5B Cumulative cell number during passage 3 0.0E+00 2.0E+05 4.0E+05 6.0E+05 8.0E+05 1.0E+06 1.2E+06 1.4E+06 1.6E+06 1.8E+06 2.0E+06 0 20 40 60 80 100 120 time (hours) total cell count ADSC ADSC + lipoprotein BMSC BMSC + lipoprotein 5A

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Scott T. Clarke1, Jolene A. Bradford1, Shayne Boucher2, Lucas G. Chase3, and Mohan Vemuri2 , 1 Molecular Probes® Division – Life Technologies, 29851 Willow Creek Rd • Eugene, Oregon • USA 2Primary & Stem Cells Systems – Life Technologies • 7305 Executive Way • Frederick, MD • USA 3Cellular Systems Division – Life Technologies • 501 Charmany Drive • Madison, Wisconsin • USA

RESULTS INTRODUCTIONAdult human mesenchymal stem cells (hMSC) are rare fibroblast-like cells capable of differentiating into a variety of cell types including bone, cartilage, and fat cells. They have been shown to promote tumorigenesis and progression of cancer. Conventional surface markers used to define hMSCsare CD73, CD90, and CD105 positive and CD14, CD19, CD34, CD45 and HLA-DR negative.1 Shifts in phenotypic and proliferation profiles of hMSCthrough multiple passaging reveal changes that are characteristic of gradual lineage restriction.2 To characterize these cells at a single cell level, we performed multi-parametric flow cytometry combining eight surface marker panel analysis with DNA content and cell proliferation on two hMSC sources over multiple passages.

MATERIALS AND METHODSFrozen seed stock from adipose derived stem cells (ADSC) (Invitrogen) and bone marrow derived hMSC (BMSC) (Lonza -four patient pool) were plated into serum free medium at an initial density of 1500 cells/cm2 (assuming >95% viability). Cultures were grown and expanded in T75 flasks (Greiner) pre-coated with CELLStart™ (Invitrogen) in the serum free media, StemPro®

MSC SFM (Invitrogen) supplemented with L-glutamine (2 mM). Half of the flasks were also supplemented with a human derived lipoprotein supplement. Cells were serially passaged using TrypLE™ Express (Invitrogen) upon reaching near confluency, and reseeded to a density of 3000 cells/cm2. Passage number was defined by the growth in the medium used in the study. During passages 3 and 7, cultures were treated twice daily for 4 hours with 60 μM 5-ethynyl-2′-deoxyuridine (EdU) immediately prior to harvesting. Similarly, for the other passages, replicate flasks were treated with EdU just prior to the time of passaging.3,4 After harvesting, the cells were paraformaldehyde fixed and stored at 4° C in 1% BSA/DPBS until labeling. The labeling procedure requires permeabilizing the fixed cells with 0.1% Triton® X-100 in phosphate buffered saline (DPBS), followed by labeling with Click-iT® EdU Alexa Fluor® 647 azide (Invitrogen).3,4 The cells were washed, and labeled with antibody dye conjugates (table 1). Following a final wash, FxCycle™ Violet stain (Invitrogen) was added. Data acquisition and analysis was performed using the 405 nm, 488 nm, and 633 nm laser lines on a BD™LSR II flow cytometer with BD FACSDiva™ 6.1 software. Spectral compensation was adjusted using a combination of hMSC and the AbC™anti-mouse bead kit (Invitrogen) for labeling of single-color controls.5,6 Gating for immunophenotypic analysis was determined using Fluorescence Minus One (FMO) controls in dual parameter plots to define positive and negative populations.5,6 Percent proliferating cells was determined in single parameter Click-iT® EdU measurement and by combining Click-iT® EdU measurement with the DNA content measurement obtained with FxCycle™ Violet stain for dual parameter analysis. Cell cycle was modeled using ModFit LT™ (Verity Software) to determine fitted S-phase fraction (% proliferation) and compared to the percent proliferating cells determined by Click-iT® EdU analysis (data not shown).

Proliferative and phenotypic characterization of human mesenchymalstem cells by flow cytometry and imaging

Life Technologies • 5791 Van Allen Way • Carlsbad, CA 92008 • www.lifetechnologies.com

Table 1. Immunophenotype Panel

450/50405FxCycle™ Violet stainDNA content

660/20633Click-iT® EdU Alexa Fluor® 647 azideCell proliferation

780/60488Qdot® 800CD34

HLA-DR

CD45

CD19575/26488R-PE

CD14

730/30633Alexa Fluor® 700CD105

530/30488FITCCD90

675/20488PerCPCD73

Emission Bandpass

Excitation Laser (nm)FluorophoreMarker

Figure 1. Flow Cytometric Analysis

Immunophenotype as measured by flow cytometry is among the criteria for identifying hMSC proposed by an ISCT position paper in 2006, which states that ≥95% of the hMSC population must express CD105, CD73, and CD90 and the same cells must lack (≤ 2% positive) expression of CD45, CD34, CD14 or CD11b, CD79a or CD19, and HLA-DR.1 Recent studies have shown that CD34 may have positive expression in early passages.2 Flow cytometry is one of the most powerful technologies that is routinely used to measure multiple parameters in a single sample.5-7 For this study, a flow cytometric panel was developed which combines immunophenotypic and functional testing in a ten-marker, seven-color panel (table 1) to test for antigen expression as well as measure proliferation and DNA content, providing more information with a minimum of sample. The markers which are expected to be negative (CD14, CD19, CD45, HLA-DR) are measured within the same fluorescent channel while the other markers and functional tests are measured in a separate channels (CD90, CD73, CD105, CD34, proliferation and DNA content). In multicolor flow cytometry, spectral overlap between the fluorophores needs to be eliminated using a mathematical process knows as compensation, but which may result in unexpected distribution (spread) of data and an inability to bring the extent of compensated data down to the autofluorescence level of unlabeled cells. The use of staining controls which include all reagents except for the one of interest, Fluorescence Minus One (FMO) controls, allows a precise definition for cut-off of positive and negative populations.5-7 The proliferative state of the cells can be measured using Click-iT® EdU, which in dual parameter testing with DNA content can very accurately measure the percentage of cells that are proliferating.4 No percent change to either positive or negative markers was observed for any of the samples and conditions tested from passage 1 through passage 7.

Figure 1A: (left) Demonstrates the use of FMO controls to determine gating of immunophenotypic parameters. Columns A and B shows dual parameter plots with FMO controls used for defining gating. Column C shows dual parameter plots with hMSC labeled with the full panel demonstrating that immunophenotype falls within defining criteria. Column D shows individual marker histograms of the full hMSC panel testing.

Figure 1B: (below) Demonstrates proliferation and DNA content measurements E. Initial gating on singlet cells to eliminate cell aggregates from the analysis, based on signal width vs signal area (called pulse processing); all subsequent plots are gated on this singlet gate F. Histogram of the proliferation measurement as labeled with the Click-iT® EdU azide G.Histogram of DNA content as measured with FxCycle™ Violet stain H. Dual parameter plot combining DNA content and proliferation measurements with region defining the dual positive region, the proliferating cells.

FMO-No FITC

CD90-FITCNeg

ativ

e co

ckta

il-rP

E

99.9%

FMO-No PE

CD90-FITCNeg

ativ

e co

ckta

il-rP

E

100%

Full panel

CD90-FITC

Neg

ativ

e co

ckta

il-rP

E

100%

Full panel

CD90-FITCC

D34

-Qdo

t®80

0

100%

FMO-No PerCP

CD90-FITC

CD

73-P

erC

P

99.7%

FMO-No FITC

CD90-FITC

CD

34-Q

dot®

800

100%

FMO-No Alexa Fluor® 700

CD90-FITCCD

105-

Ale

xaFl

uor®

700

99.1%

0.9%

FMO-No FITC

CD90-FITCCD

105-

Ale

xaFl

uor®

700 99.7% 0.1%

0.2%

Full panel

CD90-FITCCD

105-

Ale

xaFl

uor®

700 99.6%

0.4%

FMO-No FITC

CD90-FITC

CD

73-P

erC

P

99.7%

0.3%

CD90-FITC

CD

73-P

erC

P

Full panel

99.5%

0.5%

0.3%

CD90-FITC

CD

34-Q

dot®

800

100%

FMO-No Qdot® 800

CD90-FITC

CD73-PerCP

CD34-Qdot® 800

Negatives-rPE

CD105-Alexa Fluor® 700

FxCycle™ Violet DNA content

FxCycle™ Violet Width Signal

FxC

ycle

™V

iole

t Are

a S

igna

lClick-iT® EdU

Alexa Fluor® 647 azide

21.3%

Clic

k-iT

®E

dU A

lexa

Flu

or®

647

azid

e

FxCycle™ Violet DNA content

21.5%

E F G H

Figure 2: The relation between proliferation rate, cell origin, passage number, and confluency was examined. Images taken with phase contrast microscopy (10X objective) to estimate degree of confluency were compared to proliferation rates determined by Click-iT®

EdU labeling (insert of dual parameter plot of DNA content vs. EdU signal showing gated region defining % proliferation). 2A: Low passage cultures with low confluency have high % proliferation. 2B: Percent proliferation drops dramatically as cell density approaches confluency independent of passage number. 2C: Low passage confluent cultures with near zero % proliferation achieve very high proliferation rates after 24 hours from expansion. 2D: Late passage low confluencycultures have reduced % proliferation reflective of nearing their limited proliferative potential.

2A

Figure 2. Proliferation Measurements

2C

ADSC P7 day 4 ADSC P7 day 5

28.4 % 3.4 %

ADSC P3 day 2 ADSC P3 day3

26.6 % 34.2 %

BMSC P7 day4 BMSC P7 day5

16.7 % 12.6 %

2B

2D

ADSC + lipoprotein P2 day 4

0.9 %

ADSC + lipoprotein P3 day 2

56.7 %

Figure 3. Cell Proliferation: Click-iT® EdU labeling

Figure 3: Proliferation rate measured by Click-iT® EdU labeling during the course of a passages 3 and 7. 3A: Image shows EdU incorporated proliferating cells are detected with click chemistry. Nuclei of proliferating cells are labeled pink with Alexa Fluor® 594 azide. DNA content labeled with Hoechst 33342 in blue. Overlay with DIC phase contrast shows spindle shape cellular morphology typical of hMSCs at low passage number. By imaging, proliferative index is determined by the ratio of % positive EdU cells to total cell. Image acquired on DeltaVision® Core (API Issaquah, WA). 3B: Schematic of click chemistry labeling to determine % proliferation. EdU, when added to complete medium is incorporated into proliferating cells. After fixation and permeabilization, incorporated EdU is detected by click reaction of a fluorescently modified azide dye. 3C-3D: Percent proliferation as measured by EdU signal in passages 3and 7 of ADSC and BMSC. Cultures from passage 3 with higher % proliferation rates reach confluency before P7 cultures. Medium replacement stimulates proliferation especially during cultures at low passage.

Figure 4: Characterization of differentiated tissue derived from hMSC. Using medium specifically formulated to differentiate hMSC (StemPro® osteogenesis, adipogenesis, or chrondrogenesis differentiation medium) , confirmation of terminal differentiation is made by staining for characteristic markers. Traditional methods use colorimetric stains like Oil Red O for adipocytes, Alcian Blue for chondrocytes, and alkaline phosphatase or AlazarinRed S for osteoblasts (fig. 4A-4D, respectively). Growth in adipogenesis differentiation medium (Invitrogen) differentiates hMSC to adipocytes which form lipid vesicles detected after staining with LipidTOX™ Green neutral lipid stain (Invitrogen). Nuclear counterstainwith Hoechst 33342 (blue) (fig. 4E). DIC image shows adipocyte lipid droplets appear as refractile bodies within the cell (fig. 4F).

% proliferation ADSC

0

5

10

15

20

25

30

35

40

45

50

55

60

65

0 20 40 60 80 100 120time (hrs)

P3P7

% proliferation BM SC

05

101520253035404550556065

0 20 40 60 80 100 120

time (hrs)

P3

P7

Cu (I)

DNA= Alexa Fluor® dye

Incorporation into DNA

4A

4B

Medium replacement

EdU added to culture medium

4A 4C

4E4D 4F

3A

EdUHoechst

3B

Medium replacement

3C

3D

Figure 4. Terminal differentiation of hMSC

Labeling with click chemistry

Figure 5: Expansion of hMSC over multiple passages provides cells for experimental applications. Cumulative cell number of passage 3 (fig. 5A) and during the proliferative lifetime of the culture (fig. 5B) show effects of serum free medium supplemented with lipoprotein. Rapid proliferation at low passage results in higher yield of late passage cells in both ADSC and BMSC.

Figure 5. Proliferation and cell yield

CONCLUSIONSA multi-parameter immunophenotype panel was created which

can be used to efficiently characterize hMSC while using a minimum number of cells.

A direct measurement of S-phase synthesis using EdU incorporation detected with click chemistry is compatible with immunophenotype characterization.

EdU plus DNA content measurement when combined with immunophenotyping creates information-rich data from a single sample.

hMSCs immunophenotype profile examined during this experiment did not shift during multiple passages in serum free medium.

Proliferation rates are affected by passage, medium replacement, and confluency.

Late passage growth rates of hMSCs can be improved by augmenting culture medium with a lipoprotein supplement.

Immunofluorescence imaging methods can be used for examining % proliferation and for characterizing terminally differentiated cells derived from hMSCs.

REFERENCES1. Dominci, M et al.; Cytotherapy 2006, 8(4):315- 3172. Roche, S et al.; Proteomics 2009, 9:223-2323. Salic, A et al.; PNAS U S A. 2008, 105(7):2415-24204. Buck, S et al.; BioTechniques 2008, 44(9):27-9295. Roederer, M; Cytometry Part A. 2001, 45:194–205 6. Perfetto, S et al.; Nature 2004, 40:649-6557. Baumgarth, N et al.; J Immun Methods 2000, 243:77-97

ACKNOWLEDGEMENTSThe authors gratefully acknowledge the efforts of Tami Nyberg and

John Ivanovitch from Molecular Probes® division of Life Technologies for their assistance with cell culturing and data collection.

Cumulative cell growth of passage 1-8

0.0E+00

5.0E+06

1.0E+07

1.5E+07

2.0E+07

2.5E+07

3.0E+07

0 5 10 15 20 25 30 35 40

time (days)

tota

l cel

l cou

nt

ADSC

ADSC + lipoprotein

BMSC

BMSC + lipoprotein

5BCumulative cell number during passage 3

0.0E+00

2.0E+05

4.0E+05

6.0E+05

8.0E+05

1.0E+06

1.2E+06

1.4E+06

1.6E+06

1.8E+06

2.0E+06

0 20 40 60 80 100 120time (hours)

tota

l cel

l cou

nt

ADSCADSC + lipoproteinBMSCBMSC + lipoprotein

5A