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Laboratories of 1 Nuclear Dynamics and Genome Plasticity, 2 Pathology, and 3 Biostatistics, Curie Institute/CNRS, Paris, France
| ABSTRACT |
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| INTRODUCTION |
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CAF-1 is best known for its ability to facilitate deposition of histones H3 and H4 on newly synthesized DNA (9) . CAF-1 is a heterotrimeric complex comprising p150, p60 (6 , 10) , and p48 subunits (11) . The p48 subunit is an escort protein that is part of several additional complexes involved in histone metabolism. We therefore chose to follow CAF-1 through its two unique and largest subunits. The direct coupling between CAF-1 activity and DNA replication highlights its critical role during S phase. In addition, expression of a dominant-negative mutant of CAF-1 p150 has been shown to lead to an S-phase arrest (12) , suggesting that CAF-1 activity could be required for S-phase progression.
In the case of ASF1, two isoforms, ASF1a and ASF1b, have been identified in human cells (13) . Both of them can interact with CAF-1 p60, and ASF1 proteins can synergize with CAF-1 in chromatin assembly coupled to DNA synthesis (14) . In addition, a potential link with cell cycle regulation, mainly through the checkpoint kinases of the ataxia telangiectasia-mutated family, has been proposed (15) .
Finally, HIRA, a single polypeptide in humans (16) can regulate histone gene expression (17) and act in a chromatin assembly pathway independent from DNA synthesis (18) . Interestingly, overexpression of HIRA also leads to cell cycle defects (17) .
To gain insights into how these assembly factors are controlled and whether they may represent physiologically relevant targets for cell cycle regulation, of interest for human health, we decided to examine their expression as a function of cellular proliferation in both cultured cells and clinical samples. Specifically, our aim was to analyze differences between proliferating and quiescent cells.
We show that both CAF-1 subunits are massively down-regulated in quiescent cells compared with cycling populations, whereas the expression of the chromatin assembly factor HIRA remains constant. On the other hand, the CAF-1 partner ASF1 displays a more complex pattern of regulation. Because CAF-1 subunits were found to be good indicators of the proliferative state, their expression was analyzed further. Following exit from the quiescent state, CAF-1 subunits were detected early after cell cycle entry, before S phase. We also distinguished the total pool of CAF-1 from the fraction tightly associated with chromatin, which is believed to correspond to the active molecules (19) . The amount of CAF-1 proteins corresponding to each pool correlated directly with the proliferative state of the cells. This result supports a connection between the regulation of the amount of available CAF-1 in a cell and its usage at the chromatin level. Furthermore, we found that CAF-1 expression appeared to be regulated largely at the RNA level, when comparisons were made based on the proliferative state. These data encouraged us to examine CAF-1 status under various physiological conditions in human samples and more specifically in the context of cancer pathology. Tumor cells are generally characterized by a deregulated high rate of proliferation (20) , and the proliferation rate of a tumor is often related to the clinical prognosis. Proliferation rate can be estimated in the following two ways (21) : (a) by detecting cells at one of the phases critical for cell proliferation such as mitosis (mitotic index) or replication (S-phase fraction) or alternatively (b) through the presence of proliferation-associated proteins. Examples of the latter include proliferating cell nuclear antigen (PCNA; Ref. 22 , 23 ), Ki-67 (24 , 25) , and the minichromosome maintenance (MCM) proteins, whose use as proliferation markers has recently been revealed (26, 27, 28) . The properties of CAF-1 discovered in this study rendered it a reasonable candidate for comparison with representative markers of the two types described above. We have therefore evaluated CAF-1 as a marker of clinical value.
| MATERIALS AND METHODS |
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HeLa cells were synchronized in G1, S, and G2 by a double thymidine block, as follows: 25-h block in 2 mM thymidine (Sigma-Aldrich, Lyon, France); 12-h release in 30 µM 2'-deoxycytidine (Sigma-Aldrich), 25-h block in 2 mM thymidine followed by 3-, 8-, and 14-h release in 30 µM 2'-deoxycytidine to collect S, G2, and G1 cells, respectively. HeLa mitotic cells were obtained by mitotic shake-off after 19 h of treatment with 10 ng/ml nocodazole (Sigma-Aldrich). 1BR3 cells were blocked in G0 by 4 days of serum starvation, and MCF7 cells were blocked in G0 by 48 h of treatment with 10 nM ICI182780, an estrogen receptor antagonist (Fischer Bioblock Scientific, Ilkirch, France; Ref. 29 ). 1BR3 cells were released from G0 by adding serum in culture medium, and MCF7 cells were released from G0 by treatment with 100 nM 17-ßestradiol E2 (Sigma-Aldrich; Ref. 30 ). Synchronization analyses were performed by flow cytometry after propidium iodide intercalation (Sigma-Aldrich). Percentages of replicating S-phase cells were determined by flow cytometry after BrdUrd incorporation (Sigma-Aldrich).
Antibodies.
Primary antibodies used were anti-p150 mAb7655 and anti-p60 mAb8133 (Abcam, Cambridge, United Kingdom), anti-p60 poly (gift from T. Krude), anti-ASF1 obtained using recombinant proteins produced at our laboratory (immunization from Agrobio, Villeny, France), antiheterochromatin protein 1
2G9 (Euromedex, Mundolsheim, France), anti-HIRA (gift from P. Adams), anti-Ki67 MIB1 (Dako, Carpinteria, CA), anti-PCNA PC10 (Dako), anti-MCM2 BM28 (BD PharMingen, San Diego, CA), anti-BrdUrd (Harlan Sera-Lab, Loughborough, United Kingdom), anti-cdc6 sc-8341 (Santa Cruz Biotechnology, Santa Cruz, CA), and anti-ßactin AC15 (Sigma-Aldrich). Anti-p60 mAb8133 only recognizes the phosphorylated forms of p60 whereas anti-p60 poly recognizes both phosphorylated and unphosphorylated forms. Secondary antibodies coupled to FITC or Texas red were purchased from Jackson ImmunoResearch Laboratories (West Grove, PA).
Immunofluorescence.
Immunofluorescence on paraformaldehyde-fixed cells was performed as described previously (19)
using an epifluorescence microscope (model DMRHC; Leica, Deerfield, IL) equipped with a HBO100 mercury lamp (Osram, München, Germany), a CoolSnap FX camera (Roper Scientific, Duluth, GA) and Metamorph 4.6 software (Universal Imaging Co., Marlow, Buckinghamshire, United Kingdom) for image acquisition. Images were processed using Adobe Photoshop 5.5 software (San Jose, CA). The percentages of positively stained cells were obtained by counting at least 500 cells in each case. BrdUrd immunodetection was performed as described previously (31)
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Cell Extracts, Western Blot.
Nuclear, cytosolic, total, and Triton cell extracts were prepared and subjected to Western blotting as described previously (19)
. Serial dilutions were loaded for each sample to check signal linearity. Protein amounts were estimated by Bradford analysis (for nuclear and cytosolic extracts), by detection of ßactin levels (for total extracts), or by Ponceau staining (for Triton cell extracts). Quantification was performed using Quantity One 4.2.1 software.
RNA Extracts, Real-Time Quantitative RT-PCR, Northern Blot.
Total RNA was extracted using RNA NOW (Biogentex, Seabrook, TX) according to the manufacturers instructions. To avoid any contamination by genomic DNA, DNA was digested by DNase1 Rnase-free RQ1 (Promega, Madison, WI) for 30 min at 37°C. DNase 1 was then inactivated by heating at 65°C for 10 min.
A quantification of p150and p60RNA levels was performed relative to ßactinRNA level as an internal control. The following primer pairs (Sigma Genosys, Cambridge, United Kingdom) were designed using Oligo6 software: p60-forward, CGGACACTCCACCAAGTTCT; p60-reverse, CCAGGCGTCTCTGACTGAAT; p150-forward, GGAGCAGGACAGTTGGAGT-G; p150-reverse, GACGAATGGCTGAGTACAGA; ßactin-forward, ACCCCGTGCTGCTGACCGA; ßactin-reverse, GCACAGCCTGGATAGCA-AC. Total RNA extracts were used in independent RT reactions with the Omniscript RT kit (Qiagen, Santa Clarita, CA) using the corresponding reverse primers except for p150 RT in Hs578Bst cell line requiring another reverse primer (GGCACAAAGAAACCATCGTC) to increase amplification specificity. Quantitative amplifications were performed with the LightCycler Fast Start DNA Master SYBR Green I kit (Roche Diagnostics, Basel, Switzerland) according to the manufacturers instructions during 45 cycles at a hybridization temperature of 60°C. Amplification efficiency was determined from serial 1:5 dilutions of the RT products. Considering every amplification 100% efficient, the relative amount of p150or p60RNA normalized to the internal control ßactinwas calculated as follows:
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-32P]dCTP (50µCi/25 ng of DNA probe) according to the manufacturers instructions. Detection was achieved using PhosphorImager STORM 860 (Molecular Dynamics, Sunnyvale, CA).
Patients and Specimens.
One hundred breast tumoral samples obtained from 98 patients were included in this study. Before diagnostic investigations, each patient gave informed consent. The age of the patients ranged from 18 to 98 years (mean, 56.8 years). Tumors were nonpalpable (T0) in 8%, T1 in 17%, T2 in 49%, and T3 and T4 in 26% of cases. Sixty-four patients were node negative, and 34 had palpable axillary lymphadenopathies. Fine needle aspirations were performed by a pathologist during a specialized consultation at the Institut Curie (Paris, France). Nonpalpable tumors were sampled using ultrasound-guided technique. Aspirates were smeared on two slides for diagnosis and on three other slides (Superfrost +) for immunocytochemical studies. Histologically, eight tumors proved to be benign (fibroadenomas, 5; abscess, 2; tuberculoid granuloma, 1), and 92 tumors proved to be malignant. Among malignancies, 1 was ductal in situ, 79 ductal infiltrative, 8 lobular infiltrative, and 4 belonged to other types of infiltrative malignancies. Carcinomas were graded as I in 13, II in 45, and III in 31 cases. Eleven cases were nongradable. Status of estrogen receptors was determined by immunohistochemistry on histological sections in 90 cases presenting positivity in 64 cases whereas 26 were negative.
DNA Flow Cytometry.
All DNA flow cytometry analyses were performed on a FACScan flow cytometer (Becton Dickinson, San Jose, CA) equipped with a doublet discrimination module. Nuclear DNA content was measured by flow cytometry on cell suspensions obtained by fine needle aspiration. Clinical samples were checked before analysis by light microscopy on cytocentrifuged preparations stained using the May-Grünwald-Giemsa procedure to verify that at least 80% of material was composed of tumoral nuclei. Data files from at least 10,000 nuclei stained using propidium iodide were acquired in list mode. Tumors with a DNA index ranging from 0.9 to 1.1 were classified as diploid; those with a single DNA index lower than 0.9 or over 1.1 were classified as aneuploid; and the others were classified as multiploid. S-phase fractions were computed using ModFit LT 2.0 software (Verity Software House, Topsham, ME). Tumors were DNA diploid in 41 cases and DNA aneuploid/multiploid in 58 cases (in 1 case, ploidy could not be determined). S phase ranged from 0.3 to 31.4% (mean, 5.76%). S-phase percentages were subdivided into the following four groups (proliferation indexes): very low (02%); low (24.5%); moderate (4.510%); and high (>10%); standards commonly used for clinical studies at the Curie Institute.
Immunocytochemistry, Immunohistochemistry.
Immunostainings for p60, Ki-67, and PCNA were performed on paraformaldehyde-fixed smears or on formalin-fixed paraffin-embedded tissue sections (4 µm) using the appropriate antibody, a Vectastain Elite ABC- peroxidase kit (Vector Laboratories, Peterborough, United Kingdom) and the Liquid DAB Substrate-Chromogen System (Dako) according to manufacturers instructions. For every antigen detection in paraffin-embedded tissues and for Ki-67 detection in smears, an additional step of antigen retrieval [citrate buffer (pH 6.1) and microwave heating] was performed before antibody incubation. Cells were counterstained with hematoxylin (Merck, Darmstadt, Germany).
Statistical Analysis.
The percentages of positively stained cells in immunocytochemistry experiments were obtained by counting at least 1000 cells in each case by two independent observers. Concordance between the two observers was demonstrated by calculating an intra-class correlation coefficient, allowing us to use the mean values for the after statistical analyses. Correlations were evaluated using the Spearman rank test. Average comparisons between multiple groups were determined by ANOVAs in case of homogeneous variances (according to the Bartlett test) or by the Kruskal-Wallis test. Statistical significance was taken as P < 0.05. Statistical analyses were performed using SPlus 2000 software.
| RESULTS |
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Considering the massive down-regulation of CAF-1 in quiescent cells, we wondered if some of its interacting partners were similarly regulated and, if so, to what extent. PCNA is the first-described partner of CAF-1 p150 (35
, 36)
. We observed that PCNA is also down-regulated in G0, consistent with its use as a proliferation marker (22
, 23)
, but to a lesser extent than CAF-1 (2-fold decrease; Fig. 1C
, supplementary Fig. S1). This may be attributable to a longer half-life of PCNA because lower PCNA levels can be detected in long-term quiescent cells (23)
. Next we examined the expression of ASF-1, a histone H3 and H4 chaperone that interacts and synergizes with CAF-1 during replication and repair (14)
. We found that the expression of the ASF-1b isoform is substantially reduced in G0 compared with asynchronous cells. The total level of ASF1a is less affected, but ASF1a is hyperphosphorylated in G0. Indeed, the ratio of phosphorylated to unphosphorylated form shifts from 1:3 to 3:1 after G0 arrest (Fig. 1C)
. In the case of heterochromatin protein 1
, another p150 partner (37)
, we found no significant difference between quiescent and cycling cells (Fig. 1C)
. Thus CAF-1 is regulated concordantly with several of its partners, but it still appears to be the most powerful marker for discrimination between proliferating and quiescent cells.
CAF-1 down-regulation in G0 was confirmed in another type of cell line, 1BR3 primary fibroblasts (supplementary Fig. S2), showing additionally that this regulation is not specific for immortalized and transformed cell lines but represents a more general phenomenon. This is consistent with the direct coupling of CAF-1 activity and DNA replication. Because quiescent cells do not replicate, they would not need CAF-1 to fulfill this particular function. However, renewal of histones may still be needed in long-living resting cells, and other factors should thus ensure deposition of histones. One candidate for this function is the chromatin assembly factor HIRA. Indeed, it has been found to act independently from DNA synthesis in vitro with Xenopus egg extracts, in contrast to CAF-1 (18)
. It was thus interesting to compare HIRA expression to CAF-1 in quiescent cells. Remarkably, HIRA expression was not affected in G0-arrested MCF7 cells (Fig. 1D)
, suggesting that HIRA could ensure stability of chromatin in quiescent cells.
Taken together, these results highlight the importance of the chromatin assembly factor CAF-1 as a major target for down-regulation in quiescent cells. It is noteworthy that the down-regulation level of the phosphorylated form of CAF-1 p60 in G0 is of greater magnitude than that of any of the factors we have analyzed, including proliferation markers described previously, such as PCNA (2-fold decrease) and MCM2 (6-fold decrease; supplementary Fig. S1). We therefore believe that the amount of phosphorylated p60 could be a very good candidate for discriminating between cycling and resting cells.
The Amounts of Total and Chromatin Bound CAF-1 Correlate Directly with Cell Proliferation.
To expand and generalize our findings, we studied the expression of CAF-1 subunits and CAF-1 partners in the following human mammary cell lines with different proliferation rates (estimated by BrdUrd incorporation): Hs578Bst normal cell line (13% in S phase); Hs578T (providing a comparison between cells of similar origin); and T47D and MCF7 tumoral cell lines (29, 16, and 37% in S phase, respectively). Immunofluorescence experiments (Fig. 2A)
showed a higher percentage of cells expressing CAF-1 p150 and p60 in the tumoral cell lines (81% on average) versus the normal cell line (21%) and, among the tumoral cell lines, in MCF7 cells (86%) versus T47D cells, which proliferate more slowly (72%). Western blot experiments indicated that CAF-1 subunits (p150, p60) as well as CAF-1 partners (ASF1a, ASF1b, PCNA, and heterochromatin protein 1
) are more abundantly expressed in tumoral versus normal cells (Fig. 2B)
. Only a higher exposure allowed detection of the signal in normal cells. Estimation of the relative levels of CAF-1 expression in these two cell types gave at least a 6-fold difference. Taken together, these data show that the expression of CAF-1 and its partners correlates directly with cell proliferation.
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CAF-1 Level Increases after G0 Release before S-Phase Entry.
Obviously, if CAF-1 decreases in G0, a need to produce it arises when cells re-enter the cell cycle. We therefore wished to determine when CAF-1 proteins are re-expressed after G0 release and how this is related to cell cycle progression. MCF7 cells were thus released from the quiescent phase, and progression into the cell cycle was monitored. S-phase entry occurred 12 h after G0 release as identified by an increase in the number of cells incorporating BrdUrd (Fig. 3A)
, consistent with previous data (30)
. As an additional marker of cell cycle progression into S phase, the increase in cyclin A expression after release was recorded (Fig. 3B)
. During G0 release, we could identify cells harboring distinct CAF-1-staining profiles typical of early, middle, and late S phase as described previously (31)
. Consistent with a progression in S phase, accumulation of late S-phase profiles was observed at the expense of early profiles as a function of time (data not shown).
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The Amount of CAF-1 RNA in a Cell Population Correlates with the Proliferative State.
The regulation of CAF-1 expression linked to cell proliferation could occur at the RNA (transcription activity, RNA stability) and/or at the protein (translation activity, protein stability) level. To examine CAF-1 regulation at the RNA level, we quantified p150and p60RNA levels in comparison with ßactinRNA level by quantitative RT-PCR (Fig. 4A)
and Northern blot analysis (Fig. 4B)
and obtained similar results from both experiments. The length of the amplicons from quantitative RT-PCR were as expected: 79 bp with p60 primers; 198 bp with p150 primers; and 117bp with ßactin primers; amplification efficiencies were very close to each other and very close to 100%: e.g., 97% for p60 primers; 99% for p150 primers; and 100% for ßactin primers (data not shown). For p60RNA quantification, we verified that the putative transcript arising from a p60pseudogene on chromosome 6 was not affecting our results (supplementary Fig. S4). We found similar variations for both p150and p60RNA quantities between cell lines (Fig. 4A)
. Except for T47D cell line, in general these RNAs were less expressed in cells with low proliferation rates compared with rapidly proliferating MCF7. There was a 5-fold increase in the amount of p150and p60 RNA when comparing G0 arrested to asynchronously proliferating MCF7 cells (Fig. 4, A and B)
. Remarkably, this difference corresponds almost exactly to the one observed previously at the protein level (7-fold increase; supplementary Fig. S1), demonstrating that a control at the RNA level could be sufficient to account for CAF-1 expression linked to the proliferative state in this particular cell type. However, we should stress that this correspondence is not observed for Hs578T versus Hs578Bst cells. In this case, a higher increase was observed in protein levels (at least 6-fold; Fig. 2B
) compared with RNA levels (about 1.5-fold; Fig. 4A
). Interestingly, this suggests that additional regulation at the protein level can also operate in these cells, which may relate to the existence of proline-glutamic acid-serine-threonine domains in p150 and p60 subunits (10)
.
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We thus compared p60 to the Ki-67 marker by counting positively stained cells on cytology smears. The percentages obtained were concordant between two independent observers (intra-class correlation coefficient, 0.9981 for Ki-67 and 0.9983 for p60); therefore, the mean percentages were used for statistical analyses (Fig. 6)
. A significant correlation factor was achieved between p60 and Ki-67 expression (r = 0.94, P < 104) showing that p60 expression is a good indicator of cell proliferation (Fig. 6A)
. The correlation level is lower with S phase, although still significant (r = 0.83 with Ki-67 and r = 0.84 with p60, P < 104; Fig. 6A
). This may be because the procedures used were different (flow cytometry versus immunocytochemistry) and Ki-67 and p60 are cell cycle (not only S phase) markers. Finally, we examined the correlations between CAF-1 p60 expression and several clinicopathological prognosis factors of practical use (Table 1
; Fig. 6B
). Whereas no significant association was noted with age and lymph node status, a clear association was found for tumor size (P = 0.0081), grade (P = 0.0004), estrogen receptor status (P = 0.019), proliferation index (P < 0.0001), and DNA ploidy (P < 0.0001).
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| DISCUSSION |
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These results have to be considered in the light of our current knowledge of CAF-1 function. Based mainly on in vitro studies, CAF-1 has been shown to be involved in chromatin assembly coupled to DNA synthesis during replication (38)
and repair (42)
. Replication is characteristic of S-phase whereas repair might occur in other phases as well as S-phase. The correlation of CAF-1 expression and cell proliferation is coherent with the S-phase function and reinforces the link with DNA replication. However, CAF-1 is also expressed outside S-phase in G1 and G2 (Fig. 1A
; 19
, 33
), which could account for the function of CAF-1 associated with DNA repair. In the case of quiescent cells, which do not replicate DNA but in principle should also be able to undergo DNA repair, CAF-1 involvement in this process can be questioned. In this context, one can envision either that in G0 (a) the low amounts of CAF-1 may still be sufficient to ensure chromatin assembly coupled to DNA repair or that alternatively (b) another chromatin assembly factor, yet to be identified, may substitute for CAF-1. Considering that CAF-1 promotes chromatin assembly on newly synthesized DNA, its main requirement during DNA replication would thus be associated with the elongation process. However, based on our results, it is tempting to hypothesize that CAF-1 might also be involved at the initiation step of DNA replication. Indeed, we found that CAF-1 re-expression after release from the quiescent state occurs early, before replication (Fig. 3)
in parallel with MCM proteins known to be involved in the initiation of DNA replication (43)
.
Compared with other factors involved in chromatin assembly, CAF-1 appears as the most powerful discriminator between the proliferative and quiescent states. Indeed, contrary to CAF-1, the chromatin assembly factor HIRA is expressed at similar levels in both states (Fig. 1D)
. This strengthens previous in vitro results arguing that HIRA promotes chromatin assembly in a way that is independent from DNA synthesis (18)
. It also suggests that HIRA may be a good candidate for chromatin assembly occurring in quiescent cells that do not undergo DNA replication but still need assembly factors for histone renewal. Variations affecting ASF1 isoforms provide a more complex regulation profile as detected by Western blot (Fig. 1C)
, ASF1b being massively down-regulated compared with ASF1a, which is hyperphosphorylated. Intriguingly, this hyperphosphorylation pattern in quiescent cells is reminiscent of the pattern described in S-phase cells, resulting from Tousled-like kinase activation (13
, 44)
. Because this hyperphosphorylation was not observed in primary cells (not shown), it may be a specific feature of tumor MCF7 cells due either to high Tousled-like kinase activity or to the involvement of additional kinases. Further investigations will be needed to clarify this complex post-translational regulation. Furthermore, we cannot distinguish between ASF1 isoforms by immunofluorescence (data not shown) compromising the use of ASF1 detection in proliferation studies by immunocytochemistry or immunohistochemistry. The data we present, showing that ASF1 isoforms do not behave in the same way, provides the first report suggestive of distinct regulatory pathways and possible functional differences between them.
We have also demonstrated that CAF-1 expression linked to the proliferative state is controlled at least in part at the RNA level (Fig. 2B
and Fig. 4
), offering a possibility to assess cell proliferation by examining CAF-1 RNA level. We should stress, however, that assessment at the protein level proved to be more reliable in all cell lines tested. Our results showing a down-regulation of CAF-1 at the RNA level in quiescent versus cycling cells supplement our current knowledge about the transcriptional regulation of CAF-1 during the cell cycle. Indeed, microarray analyses in human cells [HeLa cells (45
, 46)
and primary fibroblasts (47)
] showed that CAF-1 p150and p60RNA expression is cell cycle regulated with an increase at the G1-S boundary and a subsequent decrease in G2-M. These variations, which are obvious in primary cells, are more difficult to observe in HeLa cells (45)
. In that respect, it is interesting to note that we also found it difficult to detect variations at the protein level in HeLa cells (Fig. 1A)
. This shows that observations using HeLa cells cannot necessarily be generalized and underlines the importance of taking into account the influence of the cell genetic background. In our study, the variations observed in CAF-1 expression cannot be because of widespread genetic differences as they have been observed between asynchronously proliferating and G0-arrested cells from the same cell line (Figs. 1, B and C
, and 4)
and also between Hs578T and Hs578Bst lines derived from the same mammary tissue (Figs. 2
and 4)
. Considering the cell cycle variations of CAF-1 RNA amounts and their down-regulation after cell cycle exit, it is tempting to speculate on a possible transcriptional regulation via retinoblastoma protein/E2F. Indeed, a putative E2F binding site has been found in p150promoter by in silico studies (48)
. This does not exclude an additional regulation at the protein level, because CAF-1 p150 and p60 both comprise a proline-glutamic acid-serine-threonine domain (10)
, which is an amino acid sequence common to rapidly degraded proteins (49)
, potentially acting as a signal for targeting proteins for degradation by the proteasome. Furthermore, CAF-1 activity may not be regulated only by CAF-1 protein amount but also by post-translational modifications such as phosphorylation/dephosphorylation and recruitment to DNA via PCNA as described in previous studies. Indeed, it has already been shown that CAF-1 hyperphosphorylation in mitosis inhibits its chromatin assembly activity (33)
and CAF-1 phosphorylation in interphase has been associated with chromatin assembly coupled to DNA repair (19)
. In any case, the labeling at the protein level provides a reliable marker of cell proliferation.
Our observations in cell line models were further explored in a physiological context by studies on tissue samples. These studies showed a direct correlation at the protein level between CAF-1 p60 and several proliferation markers. This is most likely reflecting the behavior of the entire CAF-1 complex. Indeed, results from a transcriptome analysis in human breast cancer show that CAF-1 p150belongs to the same "proliferation cluster" as genes involved in DNA replication (50) . Other proliferation markers, like PCNA (23) , Ki-67 (25) and MCM proteins (28) , have already been validated and used successfully in different tumoral types. However, PCNA immunoreactivity can be affected by the time of fixation (23) , and the use of Ki-67 has limitations attributable to (a) the lack of knowledge concerning its role in cell proliferation and (b) the systematic requirement of an antigen retrieval step for its immunodetection. On the contrary, CAF-1 can be detected directly on cytological preparations (supplementary Fig. S6) and the link between CAF-1 and cell proliferation has been well documented, lying in a PCNA-mediated coupling between CAF-1 activity and DNA replication (35 , 36) . Although CAF-1 activity is also directly coupled to DNA repair (nucleotide excision repair; Ref. 42 ), and CAF-1 is recruited to chromatin after UV irradiation (19 , 51) , its expression is not induced after DNA damage (19) . Thus CAF-1 detection by immunostaining is unlikely to be because of repair events and only reflects the proliferative state. Furthermore, PCNA and Ki-67 have not proved useful in every cancer type, especially for cervical smear analysis (27) . On the other hand, MCM markers have only been examined in a limited number of cases in breast cancer (26) , and in fact, in the normal breast, a high proportion of cells have been found to express MCM proteins (52) . This suggests that the use of MCM markers may not be ideal for assessment of breast cancer. In this case, alternative markers can be useful for following cell proliferation. Furthermore, several arguments point to the use of CAF-1 as a general marker in a variety of tumor types. In addition to the widespread conservation across species of CAF-1 (53) , in humans it appears to be expressed in cells derived from a variety of tissue types [293 (38) derived from kidney, HeLa (33) derived from cervix, and 1BR3 derived from skin and mammary cells (as shown in this work)]. It will thus be of great importance to investigate further the potential use of CAF-1 p60 as a proliferation marker in many cancer types in comparison with MCM proteins. Obviously, MCM proteins do not detect only actively proliferating cells but also cells licensed for proliferation, thus they appear to be highly sensitive markers for proliferative potential (52) . We propose that their use could be complemented by the use of CAF-1, which is a more specific marker of actively proliferating cells. The combined use of these two markers could provide a powerful diagnosis tool for assessing cancer progression. Additionally, long-term follow-up studies would be of major interest to determine the relationship between CAF-1 expression and patients outcome. Finally, all proliferation markers mentioned above have been involved in DNA replication but in addition, CAF-1 provides a direct link to the control of chromatin organization that is critical for many aspects of DNA metabolism including gene expression. This may represent a good illustration of the importance of chromatin-related events in the context of cancer.
This work puts forward CAF-1 as a novel proliferation marker, potentially helpful in cancer prognosis and in monitoring tumor response to therapies. It also opens up interesting perspectives in fundamental cancer research, especially in the comprehension of how CAF-1 expression is integrated into pathways leading to tumorigenesis.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Note: The present address for S. E. Theocharis is the Department of Forensic Medicine and Toxicology, Medical School, University of Athens, 75, Mikras Asias Street, GR 11527, Athens, Greece. Supplemental data for this article can be found at Cancer Research Online (http://cancerres@aacrjournals.org).
Requests for reprints: Geneviève Almouzni, Laboratoire de Dynamique Nucléaire et Plasticité du Génome, UMR 218, Institut Curie/CNRS, 26, rue dUlm, 75248 Paris cedex 5, France. Phone: 33-142-34-6701; Fax: 33-146-33-3016; E-mail: Genevieve.Almouzni{at}curie.fr
Received 9/18/03. Revised 12/16/03. Accepted 2/ 3/04.
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B. A. Tamburini, J. J. Carson, M. W. Adkins, and J. K. Tyler Functional Conservation and Specialization among Eukaryotic Anti-Silencing Function 1 Histone Chaperones Eukaryot. Cell, September 1, 2005; 4(9): 1583 - 1590. [Abstract] [Full Text] [PDF] |
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