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J. Biol. Chem., Vol. 277, Issue 17, 14877-14883, April 26, 2002
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From the
Received for publication, January 14, 2002, and in revised form, February 6, 2002
Cellular senescence forms a barrier that inhibits
the acquisition of an immortal phenotype, a critical feature in
tumorigenesis. The inactivation of multiple pathways that positively
regulate senescence are required for immortalization. To identify these pathways in an unbiased manner, we performed DNA microarray analyses to
assess the expression of 20,000 genes in human prostate epithelial cells (HPECs) passaged to senescence. These gene expression patterns were then compared with those of HPECs immortalized with the human Papillomavirus 16 E7 oncoprotein. Senescent cells
display gene expression patterns that reflect their nonproliferative,
differentiated phenotype and express secretory proteases and
extracellular matrix components. A comparison of genes
transcriptionally up-regulated in senescence to those in which
expression is significantly down-regulated in immortalized HPECs
identified three genes: the chemokine BRAK, DOC1, and a member of the insulin-like growth factor axis,
IGFBP-3. Expression of these genes is found to be uniformly
lost in human prostate cancer cell lines and xenografts, and
previously, their inactivation was documented in tumor samples. Thus,
these genes may function in novel pathways that regulate senescence and
are inactivated during immortalization. These changes may be critical not only in allowing cells to bypass senescence in vitro
but in the progression of prostate cancer in
vivo.
Normal primary cells proliferate in culture for a limited number
of population doublings prior to undergoing terminal growth arrest and
acquiring a senescent phenotype (1). Senescent cells are resistant to
mitogen-induced proliferation, express senescence-associated In part, senescence is mediated by the loss of telomere length, which
occurs with progressive divisions of mortal cells (4). Cellular
senescence also can be induced prematurely by a variety of stimuli
including DNA damage, perturbations of chromatin structure, and
overexpression of mitogenic signals including E2F1, oncogenic Ha-ras, Raf, or MEK (mitogen-activated protein
kinase/extracellular signal-regulated kinase kinase) (5-8). Two genes
implicated in and critical for the induction and maintenance of
senescence are pRb and p53 (3). Overexpression of
downstream members of these pathways including p16, the p53 effector
molecule p21, and p14ARF can elicit cell cycle arrest and senescence
(5, 9, 10). These gain of function experiments demonstrating that
senescence can be prematurely induced, however, do not directly address
the complex pathways regulating senescence in unmanipulated, serially passaged, normal primary cells. These mechanisms may significantly differ. For example in fibroblasts, the overexpression of E2F1 leads to
senescence; however, E2F1 expression is actually repressed as
unmanipulated cells senesce (11).
Inactivation of the p16/pRb and p53 pathways is necessary to bypass
senescence; however, this is insufficient for immortalization. Telomerase activation is also required, although the overexpression of
telomerase alone is not sufficient to confer immortalization in
epithelial cells (12). In addition, genetic analyses of immortalized prostate epithelial and other cell types reveal that a number of
consistent genetic alterations are required, including the amplification of chromosome 20q and 8q (13, 14). Based on these
findings and other microcell transfer experiments, it has been proposed
that alterations in multiple pathways are required for the acquisition
of the immortal phenotype (15). In a series of classical experiments
the fusion of different immortalized cell lines were shown to
restore senescence, and these cell lines could be sorted into four
complementation groups. This work implies that there are a limited
number of pathways critical to senescence, that these pathways must be
activated to initiate senescence, and that they can override other
transforming genetic events to yield a senescent phenotype (16).
Genes that have been implicated in senescence are also targeted in the
development and progression of human prostate and bladder cancer.
The alteration of the p16/pRb pathway in 85% of primary prostate cancers is a predictor of adverse clinical
outcome.2 The tumor suppressor
p53 is one of the most commonly mutated genes in human cancer and is
altered frequently in advanced prostate and bladder cancers (18, 19).
Several lines of evidence suggest that bypassing senescence may also be
important in cancer progression in vivo. Immortalized colon
cancer cell lines can only be established from large, pathologically
advanced lesions (20). When noninvasive papillary bladder neoplasms are
grown in culture, they uniformly senesce and maintain an intact p16/pRb
pathway (19, 21). In contrast, cells cultured from myoinvasive,
aggressive transitional cell bladder carcinomas do not senesce, have
alterations of the p53 pathway, and inactivate either p16 or pRb.
Furthermore, prostate tumors that grow as xenografts have been
generated solely from advanced, metastatic cancers (22). These results
suggest that bypassing senescence is important in cancer progression
and occurs late in the progression of cancers in vivo.
To gain insight into novel pathways involved in bypassing senescence,
we developed a model in which transcript levels for more than 20,000 unique sequences were tracked in replicate cultures as human prostate
epithelial cells senesced or were immortalized. A major advantage of
this approach is that it avoids exogenous gene expression for the
induction of premature senescence that can result in biased or aberrant
results. Using this strategy, we have identified several genes,
BRAK, DOC1, and IGFBP-3, that are
up-regulated in senescence and inactivated during immortalization. We
found, utilizing quantitative RT-PCR, that these genes are significantly down-regulated in human prostate cancer cell lines and
xenografts. Interestingly, all of these genes have been previously implicated in the tumorigenic phenotype (23-25). These data support the concept that pathways activated at senescence and selectively inactivated with immortalization are important in carcinogenesis and
tumor progression. Furthermore, these results provide an important effort in cataloging genes altered in senescence, a biologically relevant model of aging.
Cell Culture--
Prostate tissue was obtained under an approved
Internal Review Board protocol from men (ages 44-66) undergoing
cystoprostatectomy for bladder cancer at the University of Wisconsin
Hospitals and Clinics. Histology confirmed that no bladder or prostate
cancer was present in the tissues harvested for our studies. Prostate epithelial cultures were established as described previously (13). Prostate tissues were minced with a scalpel, digested in a solution containing 500 units/ml collagenase (Sigma), and plated on
collagen-coated plates. Cells were maintained in Ham's F-12 medium
(Invitrogen) supplemented with regular insulin, 0.25 units/ml;
hydrocortisone, 1 µg/ml; human transferrin, 5 µg/ml; dextrose, 2.7 mg/ml; nonessential amino acids, 0.1 mM; penicillin, 100 units/ml; streptomycin,100 µg/ml; L-glutamine, 2 mM; cholera toxin, 10 ng/ml; bovine pituitary extract, 25 µg/ml; and 1% fetal bovine serum (26). Cells were passaged
when confluent after incubation with trypsin-EDTA. Proliferating cells
were harvested 2 days following the first passage. Pre-senescent cells
were harvested when cell growth ceased, 1-5% of all cells appeared
morphologically circular, flattened and enlarged, and SA- Transformation of HPECs with HPV16 E6 and/or E7--
Infections
and characterization of HPEC cell lines was carried out as described
(13). We used a retrovirus construct carrying either the HPV16 E6
and/or E7 gene(s) as well as a gentamicin resistance cassette (received
from Dr. D. Galloway, Seattle, WA) (27). Subconfluent proliferating
HPECs were infected with 103-105 infectious
viral units at pre-passage (~5 × 105 cells/100-mm
dish) in 3 ml of 1% fetal bovine serum, F-12+ containing 4 µg/ml
polybrene (Sigma). After 6 h, the virus-containing medium was
exchanged, and infected cells were selected with 50 µg/ml G418
(Invitrogen) for a minimum of 7 days. Immortalized cell lines were
screened for HPV16 E6 and/or E7 protein expression and loss of p53 and
pRB by Western blot analysis. All immortalized lines were passaged in
1% fetal bovine serum F-12+ for well over 20 times to confirm their immortality.
Microarray Hybridizations and Data Analysis--
Microarray
manufacture and hybridizations were carried out in accordance with
previously published methods available at (28). For this set of
experiments we used DNA microarrays with either 41,000 or 47,000 spots
representing over 20,000 unique human genes and ESTs. For each
hybridization, 2 µg of poly(A) mRNA from each sample was
reverse-transcribed and labeled with fluorescence-tagged nucleotides
(Cy3 for the reference sample, Cy5 for the experimental sample).
Samples were hybridized against a common reference pool of mRNA
derived from a panel of human cell lines as described previously (29).
Hybridizations were carried out for 16 to 18 h at 65 °C, and the
arrays were washed. After drying, the microarrays were scanned with a
confocal laser GenePix microarray scanner (Axon Instruments) and
analyzed with GenePix software. After visual inspection, spots of poor
quality were flagged and excluded from analysis. Data files containing
fluorescence ratios were entered into the Stanford Microarray Data
Base, and compiled experiments were further analyzed with hierarchical
clustering software and visualized with Treeview software (30). Prior
to cluster analysis, gene entries were filtered to select those with
>2.5-fold changes in signal intensity when comparing proliferating
cells to pre-senescent, terminally senescent, and immortalized cell
lines on at least one-third of the array samples, with fluorescent
intensity in each channel that was greater than 1.6 times the local
background. The identities of spotted cDNAs are based on
information available in UniGene cluster Build 137 (June,
2001).3
Statistical Analysis of Microarray Data--
Genes with
significant expression changes in response to senescence and
immortalization in normal prostate epithelial cells were identified
using the significance analysis of microarrays (SAM) procedure (31).
The changes in gene expression for any single gene as measured in
several array experiments provide a statistically testable measure of
robustness, regardless of the magnitude of change in expression. The
SAM procedure computes a two-sample T-statistic (e.g.
proliferating versus senescent HPECs) for the normalized log
ratios of gene expression levels for each gene. It thresholds the
T-statistics to provide a "significant" gene list and provides an
estimate of the false discovery rate (the percent of genes identified
by chance alone) from randomly permuted data.
For the experiments described in our study, the raw expression ratio
data set was filtered, using the program Cluster, for genes in which
transcript levels differ from their median value by at least 1.5-fold
in androgen-treated cells compared with controls in at least two
experiments (with not more than 30% of measurements discarded because
of poor data quality for each entry). We selected a data set in which
0.5 is the median number of likely false positive genes (false
detection rate of 0.088%) for further analysis. We selected this value
because it provided statistical assurance that most genes in the set
were significantly altered but was not so stringent as to exclude genes
of biological interest.
Quantitative RT-PCR Analysis--
Total RNA was isolated using
the RNeasy RNA isolation kit (Qiagen) and treated with DNase, and 1 µg was used to prepare cDNA. Quantitative RT-PCR was performed by
monitoring in real time the increase in fluorescence of the SYBR green
dye as described using a iCycler detection system (Bio-Rad) (32, 33).
For comparison of transcript levels between samples, a standard curve
of cycle thresholds for several serial dilutions of a cDNA sample
was established. This value was then used to calculate the relative
abundance of each gene. These values were then normalized to the
relative amounts of 18S cDNA. All PCR reactions were performed in
duplicate. The sequences of the primers used for PCR analysis are
available upon request.
Analysis of Senescence Pathways in Human Prostate Epithelial
Cells--
Genome-wide RNA expression analysis of serially passaged
primary human prostate epithelial cells (HPECs) and HPV16 E7
immortalized HPECs was performed with DNA microarrays representing over
20,000 distinct human genes and ESTs. To identify genes induced at
senescence and inactivated at immortalization, HPEC cultures derived
from three separate patients were analyzed at three defined stages in
each patient's life span. Cells harvested in their first passage and
growing exponentially were defined as proliferating. Pre-senescent cells were harvested when growth was halted, but the cells had not yet
expressed the morphologic characteristics of senescence and were not
yet SA-
Three independently proliferating HPEC cultures were then
immortalized utilizing HPV16 E7 retrovirus. We have used this molecular tool previously to dissect the genetic events involved in bypassing senescence (13, 35). The E7 oncoprotein acts, in part, by inactivating
the pRb/p16 pathway and, via the binding of p21, the p53 pathway, thus
recapitulating several genetic alterations commonly observed in
prostate tumors (13, 18). HPV E7 immortalized cells are non-tumorigenic
(36), making them an applicable model with which to isolate genes
associated with the immortalization phenotype. However, because of some
of the diverse activities of the HPV oncoproteins, we note that not all
targets relevant to bypassing senescence will be identified utilizing
this approach. Poly(A)+ mRNA was isolated from each of these
experimental samples, reverse-transcribed, labeled with Cy-5, and
hybridized in comparison with a common reference pool of cDNA
(labeled with Cy-3) (29).
The determination of genes that significantly differed in expression
levels between cellular phenotypes was made utilizing the analytical
tool SAM (31). A comparison of proliferating to terminally senescent
HPECs generated 262 unique entries using SAM, of which 93 were induced
at senescence (51 of known function) and 159 were repressed (77 of
known function). Complete details and transcript identities for all
outputs can be accessed in the supplemental data (Supplemental Figs. 1 and 2). SAM outputs comparing proliferating to pre-senescent cells
identified no genes with significant induction in expression in
pre-senescent cultures but did find 101 genes in which expression
levels were repressed. These 101 genes also displayed repressed
transcript levels in terminally senescent cultures. The results
generated by SAM were filtered to remove ESTs and genes of unknown
function. The remaining genes were then classified based on their
cellular function and placed into one or more related groups.
Consistent with a nonproliferative senescent state, 28 of the 77 known
genes that were repressed at senescence are positive growth regulators
or transcription factors involved in promoting cell cycle progression.
An additional 28 repressed genes are directly involved in DNA
replication, repair or mitosis. Of greater interest to us were those
genes induced as cells progressed to terminal senescence as these genes
may lend insights into the induction of senescence. It has been
postulated that p16 and p53 function as tumor suppressors, in part, by
inducing senescence pathways (37). We have previously reported at the
cyclin-dependent kinase (cdk) inhibitor p16 protein level, a
known marker of senescent cells, is elevated at senescence (34). In
this study, we found an ~50-fold increase in p16 mRNA at
senescence, suggesting that p16 protein increases are due, at least in
part, to increased transcription. Transcript levels of other negative
growth regulators were also increased including the p53-regulated
targets BTG2, p21, IGFBP-3, and mdm2 (Fig.
1A), suggesting elevated p53
activity at senescence. Overexpression of BTG2 (38), p21 (39), IGFBP-3 (25), and even mdm2 in normal diploid cells (40) can result in
G0/1 cell cycle arrest. These p53-inducible genes may
reflect the participation of p53 in regulating the onset of senescence, lending further insight into senescence-associated p53 targets.
Senescent cells show permanent growth arrest and express markers
associated with terminal differentiation. Consistent with this
phenotype, 15 of 51 genes induced in senescent cells are associated
with differentiation, 10 of which are commonly expressed in neuronal
tissue (Fig. 1A). These genes may be indicative of the
terminally differentiated phenotype rather than the induction of a
neuronal phenotype as senescent HPECs do not resemble the elongated,
spindle-shaped cells characteristic of neuronal cells in culture (13).
Senescent HPECs also acquire a phenotype in which extracellular matrix
(ECM)-degrading proteases, growth factors, and other inflammatory
cytokines are produced (41). 16 of the 51 genes induced at senescence
code for ECM proteins and matrix proteases (Supplemental Fig. 1). This
group includes transcripts for chondroitin sulfate proteoglycan
2, matrix metalloproteinase 2, and microfibrillar-associated protein 2, and their respective increases (5.3-, 4.9-, and 4.3-fold increase by
cDNA array, respectively) are among the highest we observed.
Several other transcripts encoding ECM proteins (CSPG3, COL1A1, and
fibronectin) and proteases (PAPPA and cathepsin F) are also induced
(2.3- and 4.3-fold by cDNA array, respectively). Senescent cells
produce extracellular proteases that promote matrix and basement
membrane degradation, changes that are thought to contribute to the
aging process in vivo (42). Our data suggest that senescence
is associated with significant alterations of the ECM and provides some
of the molecular underpinnings for these matrix changes.
The finding that the ras homolog gene family member B
(rhoB) was induced at senescence is novel. rhoB
mRNA levels were induced 3.6-fold by cDNA array and confirmed
with real-time qPCR (17-fold increase, Fig.
2A). It has been demonstrated
that the overexpression of oncogenic H-ras promotes
senescence in primary, mortal epithelial cells and fibroblasts (6);
however we did not observe changes in H-ras expression
during senescence in our HPEC expression profiles. RhoB
appears to have several functions in the cell including negative growth
regulation, the induction of cytoskeletal changes, and sensitizing
cells to apoptosis (43, 44). In aging mice, rhoB expression was found to be induced in skeletal muscle, and this alteration was attenuated with caloric restriction, the only known mechanism for retarding the aging process (45). Collectively, these
data suggest that RhoB may be integral to both senescence and the aging
process, potentially contributing to both the growth arrest and the
characteristic morphology observed in senescent cells.
To validate the alterations in gene expression observed with senescence
and immortalization, we performed real-time quantitative PCR (qRT-PCR)
in additional HPEC cultures on 20 genes that had high (>3-fold) or low
(<3-fold) level expression changes (Fig. 2). The pattern of gene
induction or repression observed on the microarrays correlated with
that seen by qRT-PCR, consistent with other validation experiments
performed using this array system (46). However, microarrays tended to
underestimate changes in transcript levels when genes were induced or
repressed by more than ~3-fold.
Many of the gene expression changes we observed are also observed in
primary fibroblasts undergoing senescence (Table
I). However, in contrast to senescent
fibroblasts, HPECs show increased transcript levels of the retinoic
acid receptor Identification of Pathways and Genes Altered following HPEC
Immortalization--
To aid in defining the pathways important in
bypassing senescence, we immortalized HPEC cell cultures with the HPV16
E7 oncoprotein. A comparison of genes expressed by these cells with
proliferating non-immortalized cells revealed 229 significant
alterations in expression of which 92 were induced (40 of known
function) and 137 repressed (70 of known function). (For a complete
list see Supplemental Figs. 3 and 4.) In bypassing senescence, HPECs
appear to lose many specialized functions associated with
proliferating, mortal prostate epithelial cells. Of 70 genes
down-regulated upon immortalization, ~29 are associated with an
epithelial cell function. For example, HPV16 E7 immortalized HPECs lose
expression of prostate epithelial cell-specific kallikreins 10 and 11, two secreted proteases potentially important in reproduction (47). Not
surprisingly, immortalized HPECs activate genes that participate in
pathways that promote proliferation, including transcription factors
and signaling proteins (Fig. 1B). In addition, genes
involved in DNA damage response were also up-regulated during
immortalization (Fig. 1B). It is unclear whether induction
of these repair genes reflects increased DNA surveillance or an
enhanced DNA repair capacity.
Identification of Genes Associated with Bypassing Senescence in
Prostate Cancer Cells--
We hypothesized that a gene whose
expression is induced during senescence (activation) and repressed
following immortalization (inactivation) could be targeted during
prostate cancer progression. Hierarchical clustering analysis was
performed on genes in which expression changed by more than 1.5-fold as
cells progressed to senescence or following immortalization to identify
a group of genes with elevated transcript levels at senescence that
returned to levels below or comparable with normal proliferating cells upon immortalization (Fig. 3). To further
identify genes that may be inactivated during carcinogenesis, we
focused on transcripts induced in senescent HPECs and down-regulated in
the immortalized HPECs below levels found in HPECs (determined using
SAM). This comparison revealed that only BRAK,
DOC1 (down-regulated in ovarian cancer), and IGFBP-3 were significantly induced
with senescence and repressed in immortalized cells markedly below
(>10-fold) levels in proliferating HPECs.
To extend these findings, we analyzed the expression of
BRAK, DOC1, and IGFBP-3 levels in the
human prostate cancer cell lines LNCaP, Du145, Tsu, PPC-1, PC-3,
and DuPro using qRT-PCR. In six of six tumorigenic, immortalized
prostate cancer cell lines we found DOC-1 to be down-regulated roughly
23-fold and BRAK and IGFBP-3 expression to be
undetectable (Fig. 4). We analyzed the expression levels of these three genes found in two additional human
prostate cancer xenografts, LAPC4 and LAPC9, to evaluate whether their
expression is also lost in vivo. Similar to the prostate
cancer cells, expression of BRAK, DOC1, and
IGFBP-3 were all reduced markedly in these models compared
with normal HPECs (Fig. 4). These prostate cancer xenografts have not
been passaged in vitro, suggesting that the decreased
expression of BRAK, DOC1, and IGFBP-3
is not due to artifacts introduced by growth in vitro (22).
Our results indicate that genes and pathways activated at senescence
and repressed during HPV16 E7 immortalization are also down-regulated
in human prostate cancer cell lines and xenografts and may have a role
in human prostate cancer.
Previous reports suggest that BRAK, DOC1, and IGF
family members have roles in the progression of other tumor types
in vivo. BRAK is a member of the CXC chemokine family, which
is widely expressed in normal tissues but is commonly repressed
in head and neck squamous cell carcinomas (23). Its location on 5q
harbors a putative susceptibility gene for prostate cancer based on
familial linkage studies (48). As its name implies, DOC1 was
discovered as a transcript down-regulated in ovarian cancers (24). Its function remains unknown. The IGF axis includes several ligands (IGF-I,
IGF-II), cell-surface receptors (IGF-R), and binding proteins (IGFBPs) that regulate cell growth and differentiation (reviewed in
Ref. 49). IGFBP-3 modulates interaction of the IGFs to their receptors
and also possesses IGF-independent functions (50). Decreased IGFBP-3
expression is associated with prostate cancer progression,
demonstrating more frequent loss of expression in advanced disease in
both human and mouse models (25, 51, 52). Our data suggest that this
may be due to bypassing senescence pathways. Another factor
implicating IGFBP-3 in a senescence pathway is that the HPV16 E7
oncoprotein targets IGFBP-3 for inactivation (53). Further study of
prostate cancer specimens will be necessary to evaluate the role of
BRAK and DOC1 specifically in prostate cancer. These findings
underscore the potential importance of inactivation of senescence in
carcinogenesis and tumor progression.
In summary, using DNA microarray analysis, we have identified genes
participating in normal human prostate epithelial cell senescence. We
suspect that these pathways participate in the induction of senescence
in many other cell types and that these genes are members of a limited
number of pathways that can be inactivated to bypass senescence during
tumorigenesis (15). We also have identified novel markers for the
senescent phenotype that could assist in an analysis of the role of
senescence in normal and pathologic states in vivo (54).
Future studies will explore whether reactivation of these pathways in
immortalized cells can also re-establish cellular senescence and
whether this may represent a novel therapeutic approach to prostate cancer.
We thank Dr. Rob Reiter for the xenografts
and Dr. John Svaren for the critical reading of this manuscript.
*
This work was supported by grants from the National
Institutes of Health (CA76184-01 to D. F. J.), the University of
Wisconsin Comprehensive Cancer Center (to D. F. J.), the Doris Duke
Foundation (to J. D. B.), and the Kovitz Foundation (to J. D. B.).The costs of publication of this
article were defrayed in part by the
payment of page charges. The article
must therefore be hereby marked
"advertisement" in
accordance with 18 U.S.C. Section
1734 solely to indicate this fact.
¶
Current address: Sugen, Inc., South San Francisco, CA 94080.
Published, JBC Papers in Press, February 8, 2002, DOI 10.1074/jbc.M200373200
2
D. F. Jarrard, J. Modder, C. Sandefur, Y. Shi,
D. Heisey, S. Schwarze, and A. Friedl, submitted for publication.
3
Website is
ftp.ncbi.nlm.nih.gov/repository/unigene.
The abbreviations used are:
SA-
Novel Pathways Associated with Bypassing Cellular Senescence in
Human Prostate Epithelial Cells*,
,
,
,
Department of Surgery, Division of Urology,
University of Wisconsin Medical School, Molecular and Environmental
Toxicology and the University of Wisconsin Comprehensive Cancer
Center, Madison, Wisconsin 53972 and the § Department of
Urology, Stanford University, Stanford, California 94305
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ABSTRACT
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
REFERENCES
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INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
REFERENCES
-galactosidase
(SA-
-gal),1 and assume a
characteristic enlarged, flattened morphology (reviewed in Ref. 2).
With progressive cell divisions, errors in DNA replication, oxidative
metabolism, and environmental insults generate somatic mutations and
place cells at risk for oncogenic transformation. Accumulating data
suggest that the terminal arrest associated with cellular senescence
represents a major barrier, analogous to apoptosis, that cells must
circumvent to become malignant (3). Research into the pathways that
positively regulate senescence and ways cells bypass senescence is
therefore critical in understanding carcinogenesis.
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MATERIALS AND METHODS
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
REFERENCES
-gal
expression was negative. Terminally senescent cells were harvested when
>60% appeared morphologically senescent and expressed high levels of
SA-
-gal.
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RESULTS AND DISCUSSION
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ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
REFERENCES
-gal positive. We have previously shown that this is a
distinct point at which cells transiently elevate the protein levels of
selected cell cycle inhibitory genes, and it appears critical in
signaling the onset of senescence (34). At terminal senescence, >60%
of HPECs expressed SA-
-gal and had acquired an enlarged, flattened
morphology (13, 34).

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Fig. 1.
Identity and cellular role of specific
categories of genes induced in terminally senescent HPECs
(A) and repressed in immortalized HPECs
(B). Transcripts of named genes were selected
from the SAM outputs and placed into functional categories. Included in
A are genes induced at senescence associated with
differentiated cell or neuronal functions and those associated with
growth regulation. Genes repressed in immortalized cells that are
involved in signaling, transcription, and DNA repair are listed in
B. The GenBankTM accession number and
fold change from normal proliferating HPEC proliferating values are
listed for each entry. A "+" indicates gene induction, and "
"
indicates repression.

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Fig. 2.
Quantitative RT-PCR validation of cDNA
microarray results. Real-time PCR following the
incorporation of SYBR green into DNA was performed on cDNA derived
from three independent HPEC cultures at in the proliferating,
pre-senescent, and terminally senescent stages and in HPV16 E7
immortalized HPECs. Relative expression levels were normalized to the
18S content, also determined by qRT-PCR, and plotted on a log scale as
fold change compared with proliferating cells. Expression levels from
three separate microarray experiments were averaged and plotted with
the qRT-PCR data for comparison. Good correlation was observed for all
transcript levels, although the DNA microarrays tended to underestimate
changes in transcript levels at higher magnitudes. The results are
separated into three panels (A, B, and
C) for clarity.
, interleukin 1
, interleukin 6, and IGF-I at
terminal senescence. These differences in expression may be cell
type-specific or may reflect differences between epithelial cells and
fibroblasts (29). Comparisons of limited expression profiles from
fibroblasts with our data derived from HPECs are extraordinarily
consistent, suggesting that pathways that regulate senescence are
conserved among cells derived from different tissues.
Comparison of HPEC senescence-associated gene mRNA levels with
those reported in the literature (fibroblasts)

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Fig. 3.
Cluster analysis of transcripts from
senescent and HPV16 E7 immortalized HPECs identified by the SAM
procedure. Experiments are grouped to show transcripts that are
induced at pre- and terminal senescence and at or below levels of
proliferating cells in the immortalized HPECs. The red
squares indicate expression levels higher than that of
proliferating HPECs, green squares indicate expression
levels lower than that of proliferating HPECs, black squares
indicate transcript levels approximately equal to those in
proliferating HPECs, and gray squares indicate data of
insufficient quality. NP, normal prostate; HPVE7, HPV16 E7
immortalized HPECs; Prol, proliferating;
Pre-sen., pre-senescence; T-sen., terminally
senescent.

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Fig. 4.
Expression of BRAK,
DOC1, and IGFBP-3 is very low in immortalized
human prostate cancer cell lines. qRT-PCR was performed on six
prostate cancer cell lines (LNCaP, Du145,
Tsu, PPC-1, PC-3, and
DuPro) and two xenografts (LAPC4 and LAPC9) and normalized
to proliferating HPEC values. Expression levels in all samples were
standardized to 18 S RNA levels. Prol, proliferating;
Pre-sen., pre-senescent; T-sen., terminally
senescent.
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ACKNOWLEDGEMENTS
![]()
FOOTNOTES
The on-line version of this article (available at
http://www.jbc.org) contains Supplemental Figs.
1-4.
To whom correspondence should be addressed: Dept. of Surgery,
University of Wisconsin, K6/530, 600 Highland Ave., Madison, WI 53792. Tel.: 608-265-2225; Fax: 608-265-8133; E-mail:
jarrard@surgery.wisc.edu.
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ABBREVIATIONS
-gal, senescence-associated
-galactosidase;
HPEC, human prostate
epithelial cell;
EST, expressed sequence tag;
qRT-PCR, quantitative
reverse transcriptase PCR;
HPV, human papillomavirus;
SAM, significance
analysis of microarrays;
IGF, insulin-like growth factor;
IGFBP, IGF-binding protein;
ECM, extracellular matrix.
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REFERENCES
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
REFERENCES
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