| P.O.Box 2345, Beijing 100023,China | World J Gastroenterol 2003 Apr 15;9(4):683-687 |
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Gene expression profiles of hepatoma cell line HLE
Lian-Xin Liu, Zhi-Hua Liu, Hong-Chi Jiang, Wei-Hui Zhang, Shu-Yi Qi, Jie Hu, Xiu-Qin Wang, Min Wu
Lian-Xin Liu, Hong-Chi Jiang,
Wei-Hui Zhang, Department of Surgery,
the First Clinical College, Harbin Medical University, Harbin 150001,
Heilongjiang Province, China
Lian-Xin Liu, Zhi-Hua Liu, Xiu-Qin Wang,
Min Wu, National Labortory of Molecular
Oncology, Department of Cell Biology, Cancer Institute, Chinese Academy of
Medical Science & Peking Union Medical College, Beijing 100021, China
Shu-Yi Qi, Jie Hu,
Department of VIP, the First Clinical College, Harbin Medical University, Harbin
150001, Heilongjiang Province, China
Supported by China
Key Program on Basic Research, No.Z-19-01-01-02; Chinese Climbing Project,
No.18; Youth Natural Scientific Foundation of Heilongjiang Province and Harbin,
No.QC01C11
Correspondence to: Dr.
Lian-Xin Liu, Department of Surgery, the First Clinical College of Harbin
Medical University, No.23 Youzheng Street, Nangang District, Harbin 150001,
China. liulianxin@sohu.com
Telephone: +86-451-3668999
Fax: +86-451-3670428
Received:
2002-10-17 Accepted: 2002-12-16
Abstract
AIM: To investigate the global gene
expression of cancer related genes in hepatoma cell line HLE using Atlas Human
Cancer Array membranes with 588 well-characterized human genes related with
cancer and tumor biology.
METHODS: Hybridization
of cDNA blotting membrane was performed with 32P-labeled cDNA probes synthesized
from RNA isolated from Human hepatoma cell line HLE and non-cirrhotic normal
liver which was liver transplantation donor. AtlasImage, a software specific to
array, was used to analyze the result. The expression pattern of some genes
identified by Atlas arrays hybridization was confirmed by reverse transcription
polymerase chain reaction (RT-PCR) in 24 pairs of specimens and Northern blot of
4 pairs of specimens.
RESULTS: The
differential expression of cell cycle/growth regulator in hepatocellular
carcinoma (HCC) showed a stronger tendency toward cell proliferation with more
than 1.5-fold up-regulation of Cyclin C, ERK5, ERK6, E2F-3, TFDP-2 and CK4. The
anti-apoptotic factors such as Akt-1 were up-regulated, whereas the promotive
genes of apoptosis such as ABL2 were down-regulated. Among oncogene/tumors
suppressors, SKY was down-regulated. Some genes such as Integrin beta 8,
Integrin beta 7, DNA-PK, CSPCP, byglycan, Tenacin and DNA Topo were
up-regulated. A number of genes, including LAR, MEK1, eps15, TDGF1, ARHGDIA were
down-regulated. In general, expression of the cancer progression genes was
up-regulated, while expression of anti-cancer progression genes was
down-regulated. These differentially expressed genes tested with RT-PCR were in
consistent with cDNA array findings.
CONCLUSION: Investigation
of these genes in HCC is helpful in disclosing molecular mechanism of
pathogenesis and progression of HCC. For the first time few genes were
discovered in HCC. Further study is required for the precise relationship
between the altered genes and their correlation with the pathogenesis of HCC.
Liu LX, Liu ZH, Jiang HC, Zhang WH, Qi SY, Hu J, Wang XQ, Wu M. Gene expression
profiles of hepatoma cell line HLE. World J Gastroenterol 2003;
9(4): 683-687
http://www.wjgnet.com/1007-9327/9/683.htm
INTRODUCTION
Hepatocellular carcinoma (HCC) is one of
the most common malignant tumors and ranks the eighth in incidence of human
cancer in Asia, Africa and South Europe, and causes an estimated 1 million
deaths annually. The molecular mechanism underling HCC is currently unknown[1-15].
Tumor development and progression involves a cascade of genetic alterations.
Techniques frequently used in study of gene expression, such as RT-PCR,
differential display PCR and Northern blot analysis, have their limitations
including requirement of large amounts of RNA, time-consuming, and limited
number of genes being tested simultaneously. Hence, analysis of expression
profiles of a large number of genes in hepatoma cell line is an essential step
toward clarifying the detailed mechanisms of hepatocarcinogenesis and
discovering target molecules for the development of novel therapeutic drugs.
DNA microarray enables
investigators to study the gene expression profile and gene activation in
thousands of genes and sequences[16-25]. In this study, we used cDNA
expression microarray containing 588 genes related to carcinoma to analyze genes
that are differentially expressed in human Hepatoma cell line HLE.
MATERIALS AND METHODS
Tissues and specimens
Four normal liver tissues
without cirrhosis and 24 pairs of primary HCC and corresponding noncancerous
liver tissues without cirrhosis were obtained with informed consent from
patients who underwent liver transplantation and hepatectomy at the First
Clinical College of Harbin Medical University. Histopathological identification
was confirmed by the same pathologist. These specimens were immediately frozen
in liquid nitrogen once obtained.
Cell culture
The HCC cell line HLE,
epithelial-like cells, established from HCC patient in 1975 by Dr Dor was used
in this study. HLE was cultured in RPMI1640 (Sigma, Saint Louis, USA) media
containing 10 % fetal bovine serum, 1 % penicillin and streptomycin in a 37 ℃
incubator. Cells were harvested at 70-80 % confluence.
RNA isolation and
purification
Total RNA of normal liver
tissues was obtained by extracting frozen tissues in Trizol (Life Technologies
Inc., Gaitherbur, MD) according to the manufacturer's instructions.
Normal liver were made in spices and homogenized in Trizol solution (1 ml/100
mg). Trizol was added into the bottles cultured with HLE, after washed with cold
PBS. The concentration of RNA was assessed by absorbency at 260nm using a
Nucleic Acid and Protein Analyzer (BECKMAN 470, USA).
cDNA microarray membrane
Atlas human cancer cDNA
expression array (7742-1) was purchased from Clonech Laboratories Inc (Palo
Alto, USA). The membrane contained 10 ng of each gene-specific cDNA from 588
known genes and 9 housekeeping genes. The cancer-related genes analyzed in this
study were divided into six different groups according to its function.
cDNA synthesis, labeling and
purification
Total RNA was reverse-transcribed
into cDNA and labeled with a-32P
dCTP using SuperscriptTM Preamplification system for First Strand
cDNA Synthesis Kit (Life Technologies, Gaithersburg, MD) following the
manufacture's instructions.
The labeled first strand cDNA probes were purified by Spin 200 column (Clontech,
Palo Alto, CA) to remove the unincorporated nucleotides.
Membrane hybridization and
exposure
Different probes were added to tubes
containing Atlas human cancer cDNA expression array, which were pre-hybridized
at 68 ℃
for 2 hr, and hybridization was performed at 68 ℃
for 18 hr in rolling bottles. The membranes were washed strictly and exposed to
X-ray films (Fuji Films, Tokyo, Japan) at -70 ℃
for 1-3 days.
Image and analysis
The images were scanned with Fluor-S
MultiImager (Bio-Rad, Hercules, CA) and analyzed with AtlasImage analysis
software Version 1.01a (Clontech, Palo Alto, CA). Human
glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was selected for
normalization because its expression was constant in cancer array hybridization
system. The normalized intensity of each spot representing a unique gene
expression level was acquired. Genes were considered to be up-regulated when the
intensity ratio was ≥1.5
or the difference was ≥10
000 between the expressions of HLE and normal liver tissues.
Semi-quantitative RT-PCR
To confirm the cDNA array results,
semi-quantitative RT-PCR of 24 pairs of HCC tissues and normal liver tissues was
performed for two genes (TFDP2, E2F3) displaying expression
alterations. Twenty-five ml reaction mixture was performed under the following
conditions: denaturation at 95 ℃
(3 min); 24 cycles of 94 ℃
(30 s), 60 ℃
(30 s) and 72 ℃
(45 s); then 72 ℃
extension (3 min). GAPDH were used as an internal reference in each PCR
reaction. The 5 ml RT-PCR product was analyzed by electrophoresis on a 1.5%
agarose gel.
Primer were as follows: GAPDH,
forward primer 5'ACCACAGTCCATGCCATCAC-3'and reverse primer
5'TCCACCACCCTGTTGCTGTA-3' TFDP2, forward primer 5' GGAGTCAGGCAAATGCTCTC-3'and
reverse primer 5' GCTAAGGCCACTTCTGCATC-3' E2F3, forward primer 5'
TTATGACTGCGTGAGCCTTAG-3'and reverse primer 5' AGAGCCACAACAAAGAACAGA -3'.
Northern blot
RNAs of HCC and normal liver tissues
were electrophoresed in a 1.5 % agarose gel containing 2.2M formaldehyde, and
then transferred onto a nylon membrane (Zeta-Probe, Bio-Rad, USA) by capillary
action. RNA was permanently attached to the membrane by UV illumination for 150
s (GS Gene Linker, Bio-Rad, USA). The hybridization probe was obtained by PCR.
The primers were as follows: b-actin,
forward primer 5'CGTCTGGACCTGGCTGGCCGGGACC-3'and reverse primer
5'CTAGAAGCATTTGCGGTGGACGATG-3' TFDP2, forward primer 5' GGAGTCAGGCAAATGCTCTC
-3'and reverse primer 5'CTGCCCTCAGTATCCCTCAC-3' E2F3, forward primer 5'
AAGAGCAGGAGCAGAGAGATG-3'and reverse primer 5' TTTGACAGGCCTTGACACTG-3' a-32P-labeled
cDNA probes were synthesized using Primer-a-Gene random labeling Kit (Promega,
USA). Hybridization was performed overnight in rolling bottles containing 8 ml
of hybridization buffer. The membranes were washed and exposed to X-ray films
(Fuji Films, Tokyo, Japan) at -70 ℃
for 24-48 h.
RESULTS
Atlas human cancer cDNA microarray
expression profile
Using a cDNA expression microarray
technique we established the expression profile of 588 genes selected from
different areas in human hepatoma cell line HLE and normal liver tissues(Figure
1A, 1B). No signals were visible in the blank spots and negative control spots
indicating that the Atlas human cancer array hybridization was highly specific.
The intensity for housekeeping genes was similar at the same time indicating
that the results were credible. GAPDH was used to normalize the intensities. The
comparison results analyzed by AtlasImage software showed that there were 30
genes changed, 22 up-regulated and 8 down-regulated in Hepatoma cell line HLE
versus normal liver tissues. In the test, the ratio one over the other ≥1.5
or the difference between two ≥10
000 was considered as up-regulated genes (Table 1).
Table 1
Genes differentially expressed between hepatoma cell line HLE and normal liver
tissues generated by AtlasImage software (Version 1.01a)
| Gene | Ratio | Difference | Protein/gene |
| F6k | 0.361 | -7908 | TDGF1 + TDGF2 + TDGF3 |
| B7g | 0.412 | -9606 | SKY (DTK) (TYRO3) (RSE) |
| A5b | 0.484 | -8262 | ERK activator kinase 1; MAPK/ERK kinase 1 (MEK1) |
| C5f | 0.487 | -8154 | Epidermal growth factor receptor substrate (eps15) |
| E5b | 0.504 | -14946 | Rho GDP-dissociation inhibitor 1 |
| D6c | 0.662 | -10998 | Semaphorin E |
| B7j | 0.664 | -12474 | Tyrosine-protein kinase ABL2 ; tyrosine kinase ARG (ABLL) |
| F5l | 0.732 | -12132 | Leukocyte interferon-inducible peptide |
| B2g | 1.237 | 10252 | TRAF-interacting protein (TRIP) |
| B3h | 1.241 | 10508 | Caspase-8 precursor; MACH; FLICE; (CAP4) (CASP8) |
| D5f | 1.363 | 12000 | CD9 |
| C7l | 1.381 | 14882 | Retinoic acid receptor gamma |
| A3i | 1.387 | 14088 | CDK inhibitor p19INK4d |
| C7m | 1.401 | 13224 | Retinoid X receptor beta (RXR-beta) |
| C6n | 1.444 | 11820 | Sex gene |
| D3e | 1.52 | 17176 | Vitronectin precursor; serum spreading factor; |
| D4b | 1.61 | 16212 | Integrin alpha8 |
| D2n | 1.692 | 19718 | TENASCIN-R |
| C1a | 1.804 | 15096 | DNA-dependent protein kinase (DNA-PK) |
| A4j | 2.008 | 17856 | Extracellular signal-regulated kinase 6 (ERK6) (ERK5) |
| D1b | 2.038 | 20026 | Byglycan |
| A7d | 2.06 | 18522 | Type II cytoskeletal 11 keratin; cytokeratin 1 (K1; CK 1); |
| A2k | 2.061 | 18084 | Cyclin C G1/S-specific |
| D4j | 2.178 | 27156 | Integrin beta7 |
| D4k | 2.252 | 28122 | Integrin beta8 |
| A7g | 2.257 | 13428 | Type II cytoskeletal 4 keratin; cytokeratin 4 (K4; CK4) |
| D1a | 2.31 | 29184 | Cartilage-specific proteoglycan core protein (CSPCP); aggrecan1 |
| A5i | 2.418 | 10668 | E2F-3 |
| B4d | 2.474 | 11814 | Akt1; rac protein kinase alpha; protein kinase B; c-Akt |
| A5l | 4.256 | 37824 | DP2 dimerization partner of E2F |
Figure 1 Parallel analyses of gene expression profiles in human hepatoma cell line HLE and normal liver tissues. Atlas human cancer cDNA expression array (Clontech, USA) was hybridized with 32P-labeled cDNA probes in normal liver tissues (A) and human hepatoma cell line HLE (B).
Semi-quantitative RT-PCR
Twenty four paired tissues were
performed for RT-PCR to verify accuracy and universality of the hybridization
data. The RT-PCR results for 2 genes were consistent with hybridization data
after normalization. Among the 24 paired tissues, the RT-PCR results of 2 genes
were identical to the microarray results and the constituency was TFDP2 17/24,
E2F3 16/24, respectively (Figure 2).
Figure 2 (PDF) Partial semi-quantitative RT-PCR for 2 genes in 24 paired tissues. A total of 10 ml RT-PCR products were electrophoresed on 2 % agarose gel containing ethidium bromide. GAPDH was used as an internal control. (RT-PCR, reverse transcription polymerase chain reaction; N, adjacent normal liver tissue; C, human hepatocellular carcinoma tissue; GAPDH, glyceraldehyde-s-phosphate dehydrogenase; M, pUC Mix Maker).
Northern blot
Northern blot of four paired tissues
were performed and verified the accuracy of the microarray. Among the 4 paired
tissues, the northern blot results of 4 genes further meant that the Atlas human
cancer cDNA microarray data were believable and comparable (Figure 3).
Figure
3 (PDF)
Northern blot analysis of 2 genes to confirm the Atlas human cancer cDNA
expression array. Four paired cases were used to determine these genes
expression patterns. Twenty mg RNA was analyzed on a 1.2 % denaturing agrose gel
and transferred onto a nylon membrane. 32P-labeled cDNA probes for
these genes were hybridized to the RNA-blotted membranes. After stringent
washes, membranes were exposed to X-ray film overnight at -70 ℃.
The same membranes were rehybridized with human b-actin for an RNA loading
control (N, adjacent normal liver tissue; C, human HCC tissue).
DISCUSSION
In this study, we explored the gene
expression profiles in human hepatoma cell line HLE and normal liver tissues
using Atlas human cancer array. cDNA array technology was used to examine
simultaneously the expression of specific genes on a single hybridization.
Although human genome projects have generated a large-scale sequence data for
millions of genes, the biological functions of such genes remain to be
deciphered. It is very important to define differential gene expression profiles
of tumors and normal tissues before understanding the functional significance of
specific gene products. Thus a systematic approach for examining large number of
genes simultaneously is required. Microarray techniques have been developed in
this conditions[23]. The gene expression profiles obtained from
microarray technique was first reported in 1995[16]. It might be
useful for tumor classification, elucidation of key factor in tumors, and
identification of genes[24-27].
Several genes related to cell
cycle regulators, growth regulators were abundantly up-regulated in our HCC
samples. E2F-3 is a transcription factor that plays an important role during the
cell cycle of proliferating cells, its products are rate limiting for initiation
of DNA replication[28]. E2F-3 is able to activate transcription of
E2F-responsive genes in a manner depending upon the presence of at least one
functional E2F binding site[29,30]. TFDP2 gene is a member of the
TFDP genes family of transcription factors. TFDP2 protein can form heterodimers
with E2F family proteins in vivo. The E2F-TFDP transcription factors are major
regulators of genes that are required for the progression of S-phase and they
play a critical role in cell cycle regulation and differentiation[29].
TFDP2 may plays a major role in modulating the function of E2F in cell cycle
regulation and oncogenesis. The retinoblastoma tumor suppressor protein has been
shown to induce growth arrest by binding to E2F-TFDP and repressing its activity[31].
The up-regulation of E2F-3 and TFDP2 may play an important role in HCC cell
proliferation.
Protein kinase B (PKB)/Akt is a
growth-factor-regulated serine/threonine kinase which contains a pleckstrin
homology domain[32]. Activated PKB/Akt provides a survival signal
that protects cells from apoptosis induced by various stresses, and also
mediates a number of metabolic effects of insulin[33]. The
up-regulation of Akt1 may have a great help for tumor cell to survive from
apoptosis.
In our study, genes related to
DNA repair and recombination was up-regulated in HLE, which indicates that the
generative ability of tumor cell was stronger than that of normal hepatocytes.
DNA-dependent protein kinase (DNA-PK) is a nuclear protein serine/threonine
kinase that is activated by DNA double strand breaks (DSBs). It is a component
of the DNA DSB repair apparatus, and cells deficient in DNA-PK are
hypersensitive to ionizing radiation and radio-mimetic drugs[34].
DNA-PK may have roles in controlling transcription, apoptosis, and the length of
telomeric chromosomal ends. The DNA-PK complex is regulated in a cell
cycle-dependent manner, with peaks of activity found at the G1/early
S phase and again at the G2 phase in wild-type cells[35].
Integrins are a major family of
cell adhesion molecules involved in cell-cell and cell-extracellular matrix
interactions. Integrins are suggested to be involved in many different
biological processes such as growth, differentiation, migration, and cell death.
The integrin alpha 8 beta 1 has been reported to bind to fibronectin,
vitronectin, tenascin-C and osteopontin in cell adhesion or neurite outgrowth
assays[36,37]. Integrins are heterodimeric cell adhesion proteins
connecting the extracellular matrix to the cytoskeleton and transmitting signals
in both directions[38]. The up-regulation of Integrin may play a role
in HCC metastasis.
In conclusion, our study
demonstrates the cDNA array is a powerful tool to explore gene expression
profiles in cancer. The genes described in this study provide valuable resources
not only for basic research, such as molecular mechanism of carcinogenesis,
progression and prognosis, but also for clinical application, such as
development of new diagnostic markers, identification of therapeutic
intervention in human HCC.
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Edited by Ren SY