Dr. Eugene Trogan, Ph.D., Mount Sinai School of Medicine of New York University
Macrophage foam cells are integral in the development of atherosclerotic lesions, however gene expression studies are complicated by the cellular heterogeneity of atherosclerotic plaque. This application note describes a protocol for LCM of cells identified immunohistochemically, followed by real-time RT-PCR to selectively analyze RNA from foam cells of apolipoprotein E-deficient mice. The specificity of the procedure and the measurement of gene induction in laser captured cell populations after an in vivo perturbation are illustrated. These techniques will facilitate the study of atherosclerosis.
Macrophage foam cells are critical in the development of atherosclerosis (1-3). Therefore, a better understanding of the gene expression changes in foam cells during disease progression and regression has become an important goal in order to develop potential therapies and interventions (4-6). However, the study of macrophage foam cell gene expression in arterial lesions is hampered by the cellular heterogeneity of arterial tissue, which, besides macrophages, also contains lymphocytes, smooth muscle cells, endothelial cells, and adventitial fibroblasts. To overcome these technical obstacles, we describe here a method for the use of LCM (7, 8) to selectively procure macrophage foam cells from arterial lesions (identified by the macrophage-specific marker, CD68/ Macrosialin (9, 10). RNA extracted from the laser captured foam cell material was used to quantify, by real-time quantitative RT-PCR, the fold of enrichment and to measure the induction of specific transcripts in response to an inflammatory stimulus. These methods make possible the quantitative analysis of gene expression in macrophage foam cells and add a powerful dimension to the study of atherosclerosis.
Equipment and Reagents
This prot esion molecule1 (ICAM-1), and monocyte chemoattractant1(MCP-1) (see Table I for gene primer sequences). As shown in Table II, LPS stimulation increased the expression of the Nuclear Factor-κB-mediated inflammatory genes, thereby confirming the ability of LCM and quantitative real-time RT-PCR to measure the regulation of genes after a perturbation or in pathologic (vs. normal) condition.
1. Smith, J.D., Trogan, E., Ginsberg, M., Grigaux, C., Tian, J., and Miyata, M. 1995. Decreased atherosclerosis in mice deficient in both macrophage colony- stimulating factor (op) and apolipoprotein E. Proc Natl Acad Sci USA. 92:8264-8268.
2. Qiao, J.H., Tripathi, J., Mishra, N.K., Cai, Y., Tripathi, S., Wang, X.P., Imes, S., Fishbein, M.C., Clinton, S.K., Libby, P., Lusis, A.J., et al. 1997. Role of macrophage colony-stimulating factor in atherosclerosis: studies of osteopetrotic mice. Am J Pathol. 150:1687-1699.
3. de Villiers, W.J., Smith, J.D., Miyata, M., Dansky, H.M., Darley, E., and Gordon, S. 1998. Macrophage phenotype in mice deficient in both macrophage-colony- stimulating factor (op) and apolipoprotein E. Arterioscler Thromb Vasc Biol. 18:631-640.
4. Chong, P.H., and Bachenheimer, B.S. 2000. Current, new and future treatments in dyslipidaemia and atherosclerosis. Drugs. 60:55-93.
5. Brewer, H.B., Jr. 2000. The lipid-laden foam cell: an elusive target for therapeutic intervention. J Clin Invest. 105:703-705.
6. Plutzky, J. 1999. Atherosclerotic plaque rupture: emerging insights and opportunities. Am J Cardiol. 84:15J20J.
7. Emmert-Buck, M.R., Bonner, R.F., Smith, P.D., Chuaqui, R.F., Zhuang, Z., Goldstein, S.R., Weiss, R.A., and Liotta, L.A. 1996. Laser capture microdissection. Scien ce. 274:9981001.
8. Bonner, R.F., Emmert-Buck, M., Cole, K., Pohida, T., Chuaqui, R., Goldstein, S., and Liotta, L.A. 1997. Laser capture microdissection: molecular analysis of tissue. Science. 278:1481,1483.
9. Ramprasad, M.P., Fischer, W., Witztum, J.L., Sambrano, G.R., Quehenberger, O., and Steinberg, D. 1995. The 94- to 97-kDa mouse macrophage membrane protein that recognizes oxidized low density lipoprotein and phosphatidylserinerich liposomes is identical to macrosialin, the mouse homologue of human CD68. Proc Natl Acad Sci U S A. 92:9580-9584.
10. Ramprasad, M.P., Terpstra, V., Kondratenko, N., Quehenberger, O., and Steinberg, D. 1996. Cell surface expression of mouse macrosialin and human CD68 and their role as macrophage receptors for oxidized low density lipoprotein. Proc Natl Acad Sci U S A. 93:14833-14838.
11. Fend, F., Emmert-Buck, M.R., Chuaqui, R., Cole, K., Lee, J., Liotta, L.A., and Raffeld, M. 1999. Immuno-LCM: laser capture microdissection of immunostained frozen sections for mRNA analysis. Am J Pathol. 154:6166.
12. Bustin, S.A. 2000. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol. 25:169-193.
The data described herein has been published, in part, in Trogan et al., Proc Natl Acad Sci USA, 99: 2234-2239, (2002).
back to top ocol requires the following reagents:
◊ Isoflurane (Baxter, Cat. #Forane)
◊ Phosphate Buffered Saline (PBS) (Fisher Scientific, Cat. #FLBP399-1)
◊ OCT cryoembedding medium (VWR, Cat. #25608-930)
◊ ColorFrost Plus slides (Fisher Scientific, Cat. #12-550-17)
◊ Normal goat serum (Vector Laboratories, Cat. #S-1000)
◊ Anti-CD68/Macrosialin antibody (Serotec, Cat. #MCA1957S)
◊ SUPERaseIn (Ambion, Cat. #2694)
◊ Biotinylated rabbit-anti-rat IgG mouse-adsorbed secondary antibody (Vector Laboratories, Cat. #BA-4001)
◊ Vectastain ABC Alk- Phosphatase Kit (Vector Laboratories, Cat. #AK-5200)
◊ Vector Red substrate (Vector Laboratories, Cat. #SK-5100)
III. LASER CAPTURE MICRODISSECTION
◊ PixCell II Laser Capture Microdissection Instrument (Arcturus, Cat. #LCM1104)
◊ CapSure Macro LCM caps (Arcturus, Cat. #LCM0211)
IV. RNA EXTRACTION/ ISOLATION AND QUANTIFICATION
◊ PicoPure RNA Isolation Kit (Arcturus, Cat. # KIT0204)
◊ RNAse-Free DNase Set (Qiagen, Cat. #79254)
◊ Ribogreen RNA quantification kit (Molecular Probes, Cat. #R11490) V. REAL-TIME QUANTITATIVE RT-PCR
◊ Gene-specific TaqMan primers and probes (Biosearch Technologies, Cat. # (see Table I)
◊ SuperScript II reverse transcriptase enzyme (Invitrogen, Cat. #18064-014)
◊ 10mM dNTP mix (Invitrogen, Cat. #18427-013)
◊ Taq DNA polymerase (Invitrogen, Cat. #10342-020)
◊ RnaseOut RNase inhibitor (Invitrogen, Cat. #10777-019)
◊ Acetylated BSA (1g/ml) (Promega, Cat. #R9646A)
◊ 50X 5-carboxy-X-rhodamine (ROX) internal reference dye (Invitrogen, Cat. #12223-012)
The following laboratory equipment is required to complete the protocol:
◊ Disposable gloves
◊ Dry ice
◊ ABI Prism 7700 Sequence Detection System (Applied Biosystems)
◊ RNase AWAY (Fisher Scientific, Cat. #14-375-35)
◊ Nuclease-free pipette tips
◊ MicroAmp optical tubes (Applied Biosystems, Cat. #N801-0933)
◊ MicroAmp optical caps (Applied Biosystems, Cat. #N801-0935)
◊ Nusieve 3:1 agarose (BioWhittaker Molecular Applications)
◊ Immunostaining jars
All reagents were maintained under RNase-free sterile conditions.
A. Animals and Tissue Processing
B. Immunodetection of CD68+ Macrophages for LCM.
Standard immunohistochemical staining protocols usually require prolonged incubation periods in aqueous media, which results in significant degradation of RNA. To overcome this limitation, a modified rapid immunostaining protocol was developed for macrophage-specific CD68/Macrosialin that does not significantly affect RNA yields (<12% reduction of total RNA in immunostained versus non-immunostained whole tissue sections) (11).
C. LCM and RNA Extraction
Laser capture was performed under direct microscopic visualization on the CD68positively stained areas by activating a thermoplastic film mounted on optically transparent LCM caps over selected regions. 30 proximal aortic sections from each apolipoprotein E-deficient mouse were microdissected in regions immunostained positive for CD68/Macrosialin and with morphologically-identifiable cells having the characteristic foamy appearance. Approximately 300 laser pulses were performed on each section using the PixCell II LCM Instrument. The following parameters were used: 15m laser diameter, 40 mW power, 3.0 msec duration.
D. Analysis of macrophage foam cell gene expression by real-time quantitative RT-PCR.
Real-time quantitative RT-PCR is a very sensitive method which allows for measurements of low abundance transcripts and, unlike Northern or RNase protection assays, requires only a very small amount of total RNA (typically 100 pg - 1ng). A comprehensive review of the methodology has been done by Bustin, 2000. RT-PCR and subsequent PCR are both carried out in a single sealed optical tube using gene specific primers and fluorogenic probes.
1. Prepare a master mix containing the following for each reaction: 1X first strand buffer (50mM Tris-HCl pH 8.3, 75mM KCl, 3mM MgCl2), 5mM DTT, 0.3mM dNTP mix, 20U SuperScript II reverse transcriptase enzyme, 2.5U Taq DNA polymerase, 40U RnaseOut RNase inhibitor,0.625 g acetylated BSA, and 1X 5-carboxy-X-rhodamine internal reference dye (Invitrogen Life Technologies, Carlsbad, CA) in optical tubes.
2. Add 50nM of the forward primer and reverse primer, and 100nM of the probe to the master mix for each reaction.
3. To 5 l of samples (100 pg) and appropriate standard RNA (10 ng - 1 pg serial dilutions), add separately 20l of the master mix (see Special Considerations, Note 4).
4. Set the Sequence Detection System 7700 to the following cycling conditions: RT-PCR stage (95C, 10 sec; 45C, 50 min; 95C, 2min) immediately followed by 40 cycles of PCR amplification (denaturation: 95C, 15 sec; annealing/extension: 60C, 1 min). The reaction products are separated on a 2% Nusieve 3:1 agarose gel (Fig. 3B) to verify the appropriate size of the amplicons (~63- 67 bp; see Special Considerations, Note 5).
To aid in the identification of foam cells for laser capture, aortic sections were immunostained for the CD68/Macrosialin antigen (red color; Fig. 1). RNA extraction of the laser captured material yielded 3.520.18 ng of total RNA per animal (meanSD). The integrity of the RNA was assessed and was found to be of high quality (Fig. 2). Peaks corresponding to the 28S and 18S ribosomal RNAs were clearly visible on the BioAnalyzer profile (A) and pseudo-electropherogram (B). There was no detectable genomic DNA contamination, as evidenced by a lack of additional peaks to the right of the 28S peak. Typically, RNase degradation of total RNA samples produces a shift in the RNA size distribution toward smaller fragments and a decrease in fluorescence signal and the 18S and 28S peak can no longer be identified with certainty. Degraded total RNA will lack a smooth baseline and typically contains multiple peaks that are as large as or larger than the ribosomal peaks. For the different gene transcripts measured, the quantitative RT-PCR assay was highly reproducible (median intra-assay coefficients of variation, based on >20 samples run in duplicate, ranged between 2.4% and 7.7%) and highly sensitive (10 pg of starting total RNA resulted in detectable product formation). In Fig. 3A, representative standard curve plots for CD68 (top) and αactin (bottom) are shown. For all of the genes measured, a linear relationship between the log of the initial RNA concentration (pg) and the threshold cycle held true over a range of five orders of magnitude variation in the starting RNA concentration (for all experiments, the correlation coefficients were between 0.980-0.999). RT-PCR products from the serially-diluted standards and samples were analyzed by gel electrophoresis to confirm the presence of the specific amplicon (Fig. 3B). To show that LCM enriches macrophage-specific transcripts, RNA was extracted either from whole sections (analogous to homogenized tissue) or from LCM-derived CD68 immuno-positive macrophage foam cells. Real-time quantitative RT-PCR for CD68 was performed on equivalent amounts of RNA (100 pg) and the results normalized to the control gene, cyclophilin A. As shown in Fig. 3C, the LCM-derived RNA was significantly enriched in the mRNA for the macrophage specific marker, CD68, compared to whole section RNA (33.6-fold). To determine the potential cellular contamination of the laser captured cells by adjacent medial smooth muscle cells (SMC) either from non-specific tissue adherence to the thermoplastic film or from imprecise laser beam positioning, smooth muscle cellspecific α-actin was measured by real-time quantitative RT-PCR. As shown in Fig. 3D, in contrast to the level of α-actin in RNA from whole sections, in the LCM-derived RNA, α-actin expression was at background levels after 40 cycles of amplification. These results show that lesional macrophage foam cells can be precisely and selectively isolated from atherosclerotic vessels by CD68-guided LCM. To test whether RNA derived by LCM of macrophage foam cells can be utilized to quantitatively assess the transcriptional regulation of target genes implicated in atherosclerosis, laser captured lesional macrophage RNA from proximal aortas of LPS and control stimulated apolipoprotein E-/- mice were analyzed. Mice were administered either an intraperitoneal injection of the bacterial endotoxin lipopolysaccharide (LPS) (100 g) or vehicle only and, ~4 hours after treatment, the proximal aortas were processed for each mouse as described above. The relative gene transcript levels of the following genes were measured: vascular cell adhesion molecule-1 (VCAM-1), intercellular adh