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Kidney International, Vol. 67 (2005), pp. 2488–2493

TECHNICAL NOTE

Antibodies against macrophages that overlap in specificity with fibroblasts

TSUTOMU INOUE, DAVID PLIETH, CHRISTO D. VENKOV, CAROL XU, and ERIC G. NEILSON

Department of Medicine and Department of Cell and Developmental Biology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee

Antibodies against macrophages that overlap in specificity with fibroblasts.

Background. Fibroblasts can be misidentified as macrophages because both cell types share antigens that are associated with popular antibodies targeting the monocyte/ macrophage lineage. With the recent description of fibroblastspecific protein 1 (FSP1), we revisited the specificity of antibodies directed against macrophages to determine systematically which antibodies best distinguish both cell types in fi- brotic tissues.

Methods. Tissue fibrosis was produced in mice carrying the GFP transgene encoding green fluorescent protein under the control of the FSP1 promoter. Single cell suspensions from these marked tissues were submitted for flow cytometry using antibodies against Mac-1, Mac-2, Mac-3, F4/80, CD68, major histocompatibility complex (MHC) class II, and CD45, and cDNA amplification of mRNA encoding the above target antigens was performed using specific primer sets in sorted pools of cells. Fibrotic tissues were also stained by immunohistochemistry with the same antibodies and examined under confocal microscopy.

Results. Comparison overlap between FSP1+ fibroblasts with each of the macrophage markers demonstrated that all antimacrophage antibodies (Mac-1, Mac-2, Mac-3, CD68, MHC class II, and CD45) except one (F4/80) recognize both cell types.

Conclusion. Antibodies directed against F4/80 clearly distinguish macrophages from FSP1+ fibroblasts in fibrotic tissues and is the preferred antibody in mice.

Macrophages and fibroblasts frequently appear together in fibrotic tissue following inflammation. A number of antibodies are available to identify monocytes or macrophages, although their specificity for fibroblasts has not been studied systematically. Until the characterization of fibroblast-specific protein 1 (FSP1) a few years ago [1], fibroblasts were bereft of specific markers. FSP1, also known as S100A4, is only expressed in fibroblasts [1–

Key words: macrophage, fibroblast, FSP1, S100A4, F4/80, Mac-1, Mac- 2, Mac-3, CD68, CD45.

Received for publication October 15, 2004 and in revised form December 11, 2004 Accepted for publication December 20, 2004

C 2005 by the International Society of Nephrology

3], in epithelia undergoing epithelial-mesenchymal transition (EMT) to form fibroblasts [3, 4] or in metastatic tumor cells [5]. Although FSP1+ fibroblasts in fibrotic tissue typically express vimentin and HSP47, or occasionally a - smooth muscle actin (a -SMA) [6], none of these proteins are specific for fibroblasts. Primary mesenchymal cells also do not express FSP1, since the gene encoding FSP1 is only active after embryonic day (E) 8.5 in the mouse [1]. FSP1 is expressed during murine development only in fibroblasts derived from secondary epithelium following EMT [3], or briefly in very early granulocytic lineages from the bone marrow that disappears quickly with maturation (unpublished observations). About 12% of tissue fibroblasts come from the blood stream after they are released by the bone marrow [4]. FSP1+ fibroblasts from bone marrow and peripheral blood are Mac-1+ and Gr- 1lownegative in preliminary data using flow cytometry with a lineage panel including Mac-1, Gr-1, B220, CD3, and TER119 (data not shown). The present study was undertaken because of concern that fibroblasts might be regularly misidentified as monocytes or macrophages if care is not taken in choosing a reliable cell-specific marker.

METHODS

Transgenic mice and the fibrosis model of unilateral ureteral obstruction (UUO)

Three-month-old BALB/c FSP1.GFP (green fluorescent protein) transgenic mice and GFPlittermates were used in all experiments. FSP1.GFP transgenic mice express GFP in fibroblasts under the control of the FSP1 promoter [5]. UUOs were created in single kidneys and harvested at 21 days as previously described [7]. Institutional Animal Care and Use Committee at Vanderbilt University approved all animal studies.

Flow cytometry

Three weeks after operation, anesthetized mice were systemically perfused with 50 mL ice-cold phosphate buffered saline (PBS) before the kidneys were removed. Diced tissue specimens were incubated for 30 minutes

2488

Inoue et al: Fibroblast and macrophage identification

 

 

A

 

 

 

B

 

C

 

4

 

Whole cell suspension

 

Interstitial cell gate

 

 

 

 

 

4

 

 

scatterSide

10

 

 

 

F4/80

10

 

countCell

10

 

 

 

10

 

 

 

 

 

 

 

Mac

 

 

2

 

 

 

 

2

Fib

 

 

 

 

 

 

 

 

 

 

0

 

 

 

 

0

 

100

 

10

0

500

1000

 

10

102

104

 

 

 

100

 

 

 

Forward scatter

 

 

GFP (FSP1)

 

2489

Fibroblast

3.6 ± 1.8

102 104 F4/80

D

Fibroblast

Cell count

100

J

Macrophage

Cell count

100

Mac-1

 

 

E

70.2 ± 7.2

Cell count

 

 

102

104

100

 

 

K

99.4 ± 0.5

Cell count

 

 

102

104

100

Mac-2

 

 

F

70.7 ± 5.2

Cell count

 

 

102

104

100

 

 

L

20.1 ± 7.5

Cell count

 

 

102

104

100

Mac-3

 

 

G

56.6 ± 4.1

Cell count

 

 

102

104

100

 

 

M

99.0 ± 0.9

Cell count

 

 

102

104

100

CD68

 

 

H

35.5 ± 7.4

Cell count

 

 

102

104

100

 

 

N

94.9 ± 4.7

Cell count

 

 

102

104

100

MHCII

 

 

I

66.1 ± 7.3

Cell count

 

 

102

104

100

 

 

O

98.8 ± 0.8

Cell count

 

 

102

104

100

CD45

89.6 ± 6.9

102 104

94.2 ± 3.8

102 104

A

Whole cell suspension

 

4

 

 

 

scatterSide

10

 

 

 

10

 

 

 

 

2

 

 

 

 

0

 

 

 

 

10

0

500

1000

 

 

Forward scatter

B

 

 

 

FSP1

F4/80

Mac-1

Mac-2

CD68

MHCII

CD45

GAPDH CollagenI

100bp ladder

 

 

 

D

 

 

 

 

 

 

 

 

Interstitial cell gate

 

 

 

 

 

 

 

 

 

 

countCell

Fibroblasts

Fibroblasts

 

 

 

 

 

 

 

 

(GFP+)

(GFP

+

)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

E

 

 

 

 

 

 

 

 

100

102

104

 

 

 

 

 

 

 

 

 

 

 

GFP (FSP1)

Mac-1+/GFP

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

C

Non-fibroblasts fraction 4 10

Mac-1+/GFP-

-1

2

 

 

Mac

10

 

 

 

0

Mac-1/GFP-

 

10

102

104

 

100

 

 

F4/80

 

F

Mac-1/GFP

G

Whole cell suspension RT (−)

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Inoue et al: Fibroblast and macrophage identification

Fig. 1. Flow cytometric analysis of single cell suspensions from fibrotic kidneys. After gating on live cells by forward and side scatter (A), both macrophage and fibroblast populations were separately gated based on F4/80 staining and green fluorescent protein (GFP) expression under the control of the fibroblast-specific protein 1 (FSP1) promoter (B), F4/80+ staining represented 3.6% of the fibroblast population. Mac is macrophagered, Fib is fibroblast-green (C). Each macrophage marker staining was then compared between FSP1+ fibroblasts (D to I) and F4/80-defined macrophages (J to O). Representative histograms are shown with an average and standard deviation from five individual experiments. Broken lines indicate negative controls.

at room temperature with gentle stirring in Dulbecco’s modified Eagle’s medium (DMEM), including 0.1% collagenase (Sigma Chemical Co., St. Louis, MO, USA), 0.001% hyaluronidase (Sigma Chemical Co.), and 0.002% DNase (Sigma Chemical Co.) [3]. Cells were then fixed in PBS containing 4% paraformaldehyde, then incubated with 0.1% Tween-20 for 15 minutes at 37C [3, 8]. An Avidin/Biotin Blocking Kit (Vector Laboratories, Burlingame, CA, USA) plus antimouse CD16/CD32 (Fc blocker) (BD Bioscience, San Jose, CA, USA) were employed before incubation with all primary antibodies. Cells were stained using optimum concentrations of primary antibody for 20 minutes at 4C in PBS containing 1% fetal bovine serum (FBS) and 0.002% saponin. At least, 1 × 104 cells per sample were analyzed in the Vanderbilt Flow Cytometry Core (FACSCalibur) (BD Bioscience). Mac-1 (M1/70), Mac-3 (M3/84), major histocompatibility complex (MHC) class II (M5/114.15.2), and CD45 (30-F11) were obtained from BD Bioscience; F4/80 (Cl:A3-1) and CD68 (FA-11) were obtained from Serotec Inc. (Raleigh, NC, USA); and Mac-2 (M3/38) was from Cedarlane Laboratories (Ontario, Canada). For biotinylated antibodies, streptavidin-dye (BD Bioscience) was employed. Isotype-specific antibodies were used as negative controls.

Tissue immunostaining

Paraffin embedded kidney sections were deparafinized, rehydrated, and then incubated with 0.05% trypsin and 10 lg/mL proteinase K in Hepes buffer saline for 15 minutes at room temperature [3]. Sections were next exposed to Fc blocker (see above) and washed in blocking buffer [PBS with 1.0% bovine serum albumin (BSA)]. Primary antibodies were diluted in blocking buffer and then applied for 1 hour. A tyramide signal amplification kit (Molecular Probes, Eugene, OR, USA) was used to heighten the reaction product. A laser scanning confocal microscope (LSM510-Meta) (Carl Zeiss, Thornwood, NY, USA) in the Vanderbilt Cell Imaging Core was used to capture digital images

for assembly and editing in Photoshop (Adobe Systems, Inc., San Jose, CA, USA).

Reverse transcriptase-polymerase chain reaction (RT-PCR)

Nonfixed, nonpermeabilized cells were incubated with antimouse CD16/CD32 Fc blocker, and stained by Mac-1 antibody in PBS containing 1% FBS for 20 minutes at 4C. The cells were then sorted into PBS with 1% FBS based on GFP and Mac-1 using the Vanderbilt Flow Cytometry Core (FACSAria) (BD Bioscience). Total RNA was isolated using RNeasy Mini Kit (Qiagen, Valencia, CA, USA). RNA concentrations were adjusted based on cell number. RQ1 RNase-Free DNase (Promega, Madison, WI, USA) and iScript cDNA Synthesis Kit (Bio-Rad, Hercules, CA, USA) were used for DNA digestion and reverse transcription [3]. All reactions ran on the following cycler schedule: 95C 5 minutes, then 95C 1 minute, 58C 1 minute, 72C 1 minute for 25 to 35 cycles (midlinear range) with a finish at 72C for 7minutes. Amplicons were separated in 2% agarose gel and stained by ethidium bromide. The following primers were used: FSP1 [3] forward 5 -GTGATTTGGGTCATGCT CAG-3 , reverse 5 -CATTGCACATCATGGCAATG- 3 ; Mac-1 [9] forward 5 -CAGATCAACAATGTGACC GTATGG-3 , reverse 5 -CATCATGTCCTTGTACTG CCGC-3 ; Mac-2 [10] forward 5 -GCCCCGCATGCT GATCACAATC-3 , reverse 5 -GTTGTACTGCAGTA GGTGAGCATCGT-3 ; CD68 [11] forward 5 -CTTCC CACAGGCAGCACAG-3 , reverse 5 -AATGATGAG AGGCAGCAAGAGG-3 ; F4/80 [11] forward 5 -CTT TGGCTATGGGCTTCCAGTC-3 , reverse 5 -GCAAG GAGGACAGAGTTTATCGTG-3 ; MHC class II [12] forward 5 -GGCTCCTCAAGCGACTGTGT-3 , reverse 5 -GGGGCTGGAATCTCAGGTTC-3 ; CD45 [13] forward 5 -GAGACCAGGAAGTCTGTGCTCAGTA-3 , reverse 5 -CGCAGAACCATTGGCAGCATGTTCT- 3 ; procollagen, type I [14] forward 5 -GCATGGCCA AGAAGACATCC-3 , reverse 5 -CCTCGGGTTTCC ACGTCTC-3 ; and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) [14] forward 5 -GCACAGTCA

Fig. 3. Cell sorting for analysis of mRNA encoding fibroblast-specific protein 1 (FSP1) and macrophage markers. Using the same gates for the flow cytometric analysis shown in Figure 1 (A), cells were sorted into several pools: FSP1+ fibroblasts [green fluorescent protein (GFP+ )] (B), and the remaining GFPcells into Mac-1+ and Mac-1 groups (C). Data shown in (C) is representative of the previous staining pattern with macrophage antibodies. Three pools of cells were sorted for reverse transcription-polymerase chain reaction (RT-PCR) analysis: FSP1+ fibroblasts (GFP+ ) (D), macrophage-enriched (Mac-1+ /GFP ) (E), and macrophage/fibroblast-depleted (Mac-1/GFP ) (F). mRNA from unsorted cells was used for negative control without reverse transcriptase (RT) (G).

Inoue et al: Fibroblast and macrophage identification

2491

Merge

Immunostain

GFP (FSP1)

F4/80

Mac-2

MHCII

CD45

M

Immunohistochemistry

 

Fibroblast: FSP1+

Tubular epithelial cells

F4/80

Mac-2

+

+

Mac-3

+/−

+

MHCII

+

+/−

CD45

+

Fig. 2. Immunostaining of fibrotic tissues.

Stainings revealed that F4/80 localized to green fluorescent protein (GFP) [fibroblastspecific protein 1 (FSP1)] cells (A, B, and C, arrows). Mac-2–stained cytoplasm of both GFP+ (FSP1+ ) fibroblasts (D, E, and F, arrows) and GFP(FSP1) cells; also, many tubular epithelial cells were positive (D, E, and F, ). Major histocompatibility complex (MHC) class II staining was in a cell membrane pattern in both GFP+ fibroblasts (G, H, and I, arrows) and GFPcells. Tubular epithelial staining of MHC class II was similar to interstitial cell staining in our experiments. Many inflammatory cells were stained by CD45, which also costained FSP1+ (GFP+ ) fibroblasts (J, K, and L, arrows). Bar = 25 lm. Results are summarized on the table (M). Results are indicated by + (positive), +/(weak positive), or (negative).

AGGCCGAGAAT-3 , reverse 5 -GCCTTCTCCATGG TGGTGAA-3 .

RESULTS AND DISCUSSION

Various studies using antibodies of overlapping specificity have given mixed messages regarding the expression of FSP1 in monocytes, macrophages, lymphocytes, and in some cell lines [1, 15–19]. No systematic com-

parison of antibodies with specificity for macrophages has been made with marked fibroblasts harvested from fibrotic tissues. Here, we used transgenic mice carrying the GFP gene under the control of the FSP1 promoter to properly mark fibroblasts; the high selectivity of FSP1 in fibroblasts has been previously established [1–3, 7]. UUO following surgical ligation produces an acute nephropathy associated with significant infiltration by macrophages and lymphocytes leading to fibrosis

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Inoue et al: Fibroblast and macrophage identification

and eventual loss of the kidney [3, 7]. Cells suspensions were prepared from fibrotic kidney tissues or from contralateral control kidneys. Macrophage gates were established using highly specific antisera against F4/80; F4/80 does not stain established fibroblast cell lines in culture [20].

In Figure 1, all antibodies against monocytes/ macrophages, except F4/80, stained both populations of cells. The staining intensities for Mac-1, Mac-3, CD68, CD45, and MHC class II were often higher in monocytes/macrophages than in fibroblasts. The staining with Mac-2 was also cross-reactive but with less intensity in fibroblasts. CD68 also stained only one third of fibroblasts, and those reactions were relatively faint. F4/80 was largely nonoverlapping (<3%) with FSP1+ fibroblasts, which is within the error of normal experimental variation [20].

Immunohistochemistry was employed to ascertain the distribution of cellular staining in fibrotic tissue because tubular epithelial cells are also reported to be Mac-2 and/or Mac-3 positive in normal adult kidney [21]. Moreover, CD45 and MHC class II are expressed by many leukocytes, including macrophages, in inflammatory or pathologic tissues [22]. Representative stainings for a few of the markers are shown in Figure 2. Overall, the results of our immunohistochemistry were consistent with findings from flow cytometry, and Mac-3 showed approximately the same distribution as Mac-2 (data not shown). F4/80 again was largely nonoverlapping (<3%) with FSP1+ fibroblasts. Of special interest was the apparent coexpression of the CD45 common leukocyte antigen in FSP1+ fibroblasts.

Finally, in Figure 3A and B, whole cell suspensions from fibrotic kidneys were sorted by flow cytometry into the following three pools: FSP1+ fibroblasts (GFP+), macrophage-enriched (Mac-1+ and GFP), or macrophage/fibroblast-depleted (Mac-1 and GFP). Mac-1 was used as the second marker for cell sorting because Mac-1 is a surface antigen while F4/80 is distributed in both cytoplasm and cell membrane. Each pool was then subjected to cDNA amplification to determine the selective presence of mRNA encoding the various macrophage markers used for flow cytometry in Figure 1 (Fig. 3D to F). Except for mRNA encoding F4/80 being absent in GFP+ (FSP1+) fibroblast pool and mRNA encoding FSP1being absent in the Mac-1+/GFP and Mac- 1/GFPpools, the mRNA encoding our other test set of macrophage markers were present in all pools of cells except control. mRNA encoding CD45 was found in all cell pools, including fibroblasts (Fig. 3D). Although CD45 is expressed by all hematopoietic lineages [23], it is also found in fibrocytes from peripheral blood [24], and in our hands is also expressed by FSP1+ fibroblasts in tissue. Thus, CD45 does not discriminate between macrophages and fibroblasts, either.

This distribution of amplicons confirmed the selectivity of F4/80 as the clearest marker of macrophages. Approximately 70% of the cells in the Mac-1+/GFP group were F4/80+ (Fig. 3C), confirming that Mac-1 is also present in other nonfibroblast cells besides macrophages [21]. We suspect the remaining 30% is made up of granulocytes and dendritic cells. Furthermore, mRNA transcripts encoding type I collagen were coexpressed with FSP1 in GFP+ fibroblasts. Mac-1 leucocytes, tubular epithelia, mesangial cells, podocytes, or cells from blood vessels in the Mac-1/GFP pool also express mRNA encoding nonselective macrophage markers as well as type I collagen, as expected.

F4/80 is well-known as a highly restricted macrophage molecule in mice [20]. Anti-CD68 antibody has been extensively used to characterize monocytes/macrophage populations in humans. CD68 is also known as macrosialin, a murine homologue [25]. Although these two antibodies distinguish macrophages from fibroblasts, F4/80 is a substantially better macrophage marker than CD68 for mice in terms of specificity and intensity of expression. Mac-2 antigen, galectin-3, was originally described as carbohydrate-binding protein 35 (CBP35) in 3T3 fibroblasts [26]. It is also highly expressed in thioglycollate-elicited peritoneal macrophages [27]. Finally, around 70% of FSP1+ fibroblasts are Mac-1+ and unlike the other markers, levels of Mac-1 expression are similar in both fibroblasts and macrophages.

CONCLUSION

We demonstrate the Mac-series of antibodies are overlapping while F4/80 best distinguishes monocytes/macrophages from FSP1+ fibroblasts, and is the preferred linage marker for macrophages.

ACKNOWLEDGMENT

This study was supported by NIH grants DK-46282, HL-68121, CA098131, and CA-68485.

Reprint requests to Eric G. Neilson, M.D., Hugh Jackson Morgan Professor of Medicine and Cell and Developmental Biology Chairman, Department of Medicine, D-3100 MCN, Vanderbilt University School of Medicine, Nashville, TN 37232–2358.

E-mail: eric.neilson@vanderbilt.edu

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