Open Access

Effect of silencing HOXA5 gene expression using RNA interference on cell cycle and apoptosis in Jurkat cells

  • Authors:
    • Hui-Ping Huang
    • Wen-Jun Liu
    • Qu-Lian Guo
    • Yong-Qi Bai
  • View Affiliations

  • Published online on: February 4, 2016     https://doi.org/10.3892/ijmm.2016.2480
  • Pages: 669-678
  • Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Acute lymphocytic leukemia (ALL) is a common malignant tumor with a high morbidity rate among children, accounting for approximately 80% of leukemia cases. Although there have been improvements in the treatment of patients frequent relapse lead to a poor prognosis. The aim of the present study was to determine whether HOXA5 may be used as a target for gene therapy in leukemia in order to provide a new treatment. Mononuclear cells were extracted from the bone marrow according to the clinical research aims. After testing for ALL in the acute stage, the relative mRNA and protein expression of HOXA5 was detected in the ALL remission groups (n=25 cases per group) and the control group [n=20 cases, immune thrombocytopenia (ITP)]. Gene silencing by RNA interference (RNAi) was used to investigate the effect of silencing HOXA5 after small interfering RNA (siRNA) transfection to Jurkat cells. The HOXA5-specific siRNA was transfected to Jurkat cells using lipofectamine. The experiment was divided into the experimental group (liposomal transfection of HOXA5 targeting siRNA), the negative control group (liposomal transfection of cells with negative control siRNA) and the control group (plus an equal amount of cells and culture media only). Western blotting and quantitative fluorescent polymerase chain reaction (QF‑PCR) were used to detect the relative HOXA5 mRNA expression and protein distribution in each cell group. Cell distribution in the cell cycle and the rate of cells undergoing apoptosis were determined using flow cytometry. The expression of HOXA5 at the mRNA and protein levels in the acute phase of ALL was significantly higher than that in ALL in the remission and control groups. In cells transfected with HOXA5-specific siRNA, the expression of HOXA5 at the mRNA and protein levels decreased significantly (P<0.05). The distribution of cells in the cell cycle was also altered. Specifically, more cells were present in the G0/G1 phase compared to the S phase (P<0.05). In addition, the apoptotic rate was significantly higher in cells transfected with HOXA5‑specific siRNA (P<0.05). In conclusion, high expression levels of HOXA5 mRNA and protein in children with ALL indicate that HOXA5 is closely associated with childhood ALL. In addition, HOXA5-specific siRNA effectively silences HOXA5 gene expression and induces apoptosis and cell-cycle arrest in Jurkat cells, thus inhibiting cell proliferation.

Introduction

Acute lymphocytic leukemia (ALL) is one of the most common malignant tumors and has the highest morbidity rates among children, accounting for ~80% of leukemia cases. The incidence rate of ALL is 5-fold higher than that of acute myeloid leukemia (AML). The development of medical technology, has led to improvement in the treatment of ALL. However, 20–30% of children with leukemia suffer ALL relapse and subsequently have a poor prognosis (13).

Clinical studies have shown that the relapse of AML after treatment is strongly associated with the expression of homeobox (HOX) genes, whose main role is to control the proliferation and differentiation of hematopoietic stem and progenitor cells (4). It has also been shown that even the development of various types of acute leukemia such as acute myeloid leukemia, is associated with HOX gene expression (5,6). HOX genes are divided into four clusters according to the similarity and chromosomal location of the human HOX gene sequence. These clusters are HOXA, HOXB, HOXC and HOXD, which are located on chromosome number VII, XVII, XII and II, respectively. Each of the HOX contains 9–11 genes. HOXA5 belongs to type 1 of the HOXA gene and is located on chromosome VII (7p15.2). HOXA encodes a DNA-binding transcription factor that regulates the expression of genes which control cell differentiation (6). The abnormal expression of HOX may affect cell differentiation and maturation in hematopoietic disorders (6). It may also decrease hematopoietic ability and result in the occurrence and development of leukemia (6). Findings by Delval et al (7) have shown that HOXA1 interacts with B-cell leukemia transcription factor through a HOX polypeptide. The mutation of the conserved tryptophan and methionine residues led to loss of its ability to stimulate cell proliferation, anchorage-independent cell growth and loss of contact inhibition (7). A study by Okada et al (8) showed that HOXA5 methylation plays an important role in leukemic transformation, which is induced by the CALM-AF10 fusion protein (8). Bach et al (9) found that the high expression of HOXA5 may contribute to the occurrence and phenotype of leukemia.

RNA interference (RNAi) is a type of simple and effective genetic tool that has been developed in recent years and is used instead of gene knockout (10,11). RNA interference (RNAi) is the process of sequence-specific, post-transcriptional gene silencing in the same direction, initiated by double-stranded RNA (10). RNAi technology is a type of small-interfering RNA (siRNA) with 21–23 bp that is derived from double-stranded DNA (dsRNA) by effect of RNase III endonuclease Dicer (11). It is a highly efficient gene-blocking technology that blocks the expression of target genes by mediating specific degradation of complementary homologous mRNA (12). In the present study, HOXA5 gene expression in ALL was detected by clinical tests, and the expression levels of HOXA5 mRNA and protein were detected by quantitative fluorescent-polymerase chain reaction (QF-PCR) and western blot analysis. Subsequently, through the synthesis of HOXA5 targeting-specific siRNA, cationic liposome was used to transfect Jurkat cells, a human acute T-cell leukemia cell line. HOXA5-specific siRNA may inhibit the expression of HOXA5 gene. We detected the expression of HOXA5 mRNA and protein in Jurkat cells and investigated the effect of HOXA5 gene in cell cycle and apoptosis. In the present study, the results showed that HOXA5 can be used as a target for gene therapy in leukemia and provide a new treatment for acute lymphoblastic leukemia.

Materials and methods

Cell lines and reagents

Human lymphocyte separation medium were obtained from Tianjin TBD Co. (Tianjin, China), and Jurkat leukemic T cells from human peripheral blood (Shanghai Institute of Cell Library, Shanghai, China). RPMI-1640 and fetal bovine serum (FBS) were purchased from HyClone (Logan, UT, USA) and Lipofectamine™ 2000 from Invitrogen-Life Technologies (Carlsbad, CA, USA). G418 and CCK-8 were obtained from Beyotime Institute of Biotechnology (Shanghai, China) and DMSO from Sigma (St. Louis, MO, USA). Annexin V-PE/7AAD and the cell apoptosis detection kit were obtained from Nanjing KeyGen Biotech (Nanjing, China) and the TRIzol reagent from Invitrogen-Life Technologies. The RNA extraction reagent was purchased from BioFlux, Hangzhou, China. The QF-PCR kit, HOXA5, glyceraldehyde 3-phosphate dehydrogenase (GAPDH) primer, restriction endonuclease BamHI, T4 DNA ligase, and gel purification kit were purchased from Takara (Shiga, Japan). siRNA sequence targeting HOXA5, and the negative control siRNA sequence were purchased from Adicon Co. (Shanghai, China). Rabbit anti-human HOXA5 polyclonal antibodies were purchased from Abcam (Cambridge, UK) and horseradish peroxidase-labeled goat anti-rabbit secondary antibodies were purchased from the Beyotime Institute of Biotechnology. Other reagents were developed and purified in China.

Cases

Fifty children newly diagnosed with ALL were enrolled in the study between October 2013 and June 2015.

The patients were divided into three groups: i) the acute phase group included 25 newly diagnosed cases of ALL. The ALL cases were confirmed by morphological analysis of bone marrow cells and MICM typing, had not previously received any treatment and excluded other neoplastic diseases, such as multiple myeloma tumor and malignant lymphoma, according to the basic criteria for the diagnosis of ALL. ii) The ALL remission group comprised 25 cases. In this group, ALL remission induction therapy administered achieved complete remission as per CR standards with efficacy standards of ALL. iii) The control group comprised 20 cases. Selected bone marrow samples were obtained from children with immune thrombocytopenia (ITP) (13). The samples were collected with the consent of the children's parents.

The ALL acute phase group comprised 13 male and 12 female children with a median age of 6.6 years (10 months to 14 years). In the ALL remission group, there were 15 male and 10 female children with a median age of 6.3 years (10 months to 14 years). The control group included 9 male and 11 female children with a median age of 6.7 years (10 months to 14 years).

Isolation of mononuclear cells from bone marrow

Prior to diagnosis with ALL, routine biopsy was performed to obtain bone marrow samples of ~2 ml from each child. Subsequently, lymphocyte bone marrow mononuclear cell samples were isolated. Bone marrow cells (2 ml) were diluted by adding an equal volume of saline solution. Human lymphocyte separation medium (4 ml) was added to the centrifuge tube. Diluted bone marrow fluid was gently and gradually layered along the wall until it adhered to the lymphocyte separation medium, and then centrifuged at 599.4 × g for 25 min. The intermediate buffy coat layer was then collected and placed into a new tube. Four volumes of saline were added, followed by centrifugation at 599.4 × g for 20 min. The cells were washed twice with RPMI-1640, which was purchased from Hyclone (Logan, UT, USA), prior to discarding the supernatant. The cell pellet was then washed with 10% FBS RPMI-1640, after the dispersion count. The cells were seeded in a culture flask (Hyclone) at a concentration of 3×107/ml, and placed in a cell incubator at a temperature of 37°C, carbon dioxide (CO2) concentrations of 5 and 30% moisture saturation. The medium was changed after 2–3 days and passaged once.

Detection of HOXA5 mRNA expression levels in mononuclear cells using QF-PCR

RNA was extracted from the mono nuclear cells of the bone marrow. The absorbance of the samples was determined by the UV spectrophotometer A ratio (A260/A280), at a range of 1.8–2.2, by identification of 1% agarose gel electrophoresis. Amplification of HOXA5 and GAPDH genes was performed by QF-PCR. HOXA5 gene was amplified using the primers: upstream, 5′-TTTTGCGGTCGCTATCC-3′, and downstream, 5′-CTGAGATCCATGCCATTGTAG-3′ and the amplified fragment length was 140 bp. For the GAPDH gene, the primers used were: upstream, 5′-ATGCTG GCGCTGAGTACGTC-3′ and downstream, 5′-GGTCATGAGTCCTTCCACGATA-3′ and the amplified fragment length was 262 bp. The conditions used to set up the PCR reaction were: 95°C denaturation 30 sec, followed by 95°C denaturation for 5 sec, 58°C annealing for 34 sec, for 40 cycles. The condition for drawing the dissolution curve was 95°C denaturation for 15 min, 60°C annealing for 60 sec, and 95°C denaturation for 15 sec. Data were analyzed using the formula RQ = 2−ΔΔCt while 2−ΔΔCt was used to represent the relative expression levels of mRNA HOXA5. The gray-level ratio with HOXA5 and internal reference gene GAPDH expressed was used to indicate the relative expression of HOXA5 mRNA. The experiment was repeated three times.

Detection of HOXA5 protein expression in bone marrow mononuclear cells using western blot analysis

Bone marrow mononuclear cells were washed with cold phosphate-buffered saline (PBS) twice, cell lysis was performed and the cell lysate was collected and stored at −80°C. The protein concentration in the lysate was determined using the BCA method to ensure that the same amount of protein was added in each reaction. Subsequently, 5X SDS [sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE)] polyacrylamide gel electrophoresis sample buffer (Abcam, Cambridge, UK) was added to this cell lysate and boiled for 5 min. The proteins were then transferred to PVDF membranes following SDS-PAGE. Tris-HCl buffer solution (TBS) sealing liquid with 5% skim milk powder as well as 1 g/l Tween-20 were used to block the solution for 2 h on the table concentrator. Subsequently, 1X TBST was used to fully rinse the solutions three times for 5 min. HOXA5 polyclonal antibody and anti-HOXA5 antibody were used at a dilution of 1:1,000 and incubated overnight at 4°C. After fully rinsing the primary antibody the following day, goat anti-rabbit secondary antibody was added at a dilution of 1:1,000. Following incubation at room temperature for 1 h, the blot was developed with ECL light developing film in the dark using the Gel-Pro Analyzer software (Media Cybernetics, Rockville, MD, USA). The relative ratio of target protein was determined using HOXA5 protein bands of gray value and GAPDH protein bands of gray value. The gray-level ratio with HOXA5 and the internal reference gene GAPDH, the relative expression quantity of HOXA5 protein expressed in the experimental group was carried out. The experiment was repeated three times.

Short hairpin RNA (shRNA) design, screening and synthesis

For the Jurkat cell experiments, three specific sequences of HOXA5 siRNA were chemically designed and synthesized. To overcome the influence of siRNA, we designed a negative control sequence (siRNA-NC), which had no homology with any of the human genes. The three siRNA sequences targeting the HOXA5 gene are shown in Table I. The sequences contained restriction sites for the BamHI and HindIII enzymes. siRNA was synthesized by Adicon Co. (Jiangsu, China).

Table I

Sequences of the siRNA targeting HOXA5 gene.

Table I

Sequences of the siRNA targeting HOXA5 gene.

GroupHindIIISenseLoopAntisenseTermination signalHindIII
siRNA insert A 1:75 bpGGATCCCG TTATGGAGATCATAGTTCCGTTTCAAGAGA ACGGAACTATGATCTCCATAATTTTTTCCAAAAGCTT
siRNA insert B 1:75 bpGGATCCCG TACGGCTACAATGGCATGGATTTCAAGAGA ATCCATGCCATTGTAGCCGTATTTTTTCCAAAAGCTT
siRNA insert C 1:75 bpGGATCCCG TTGCGGTCGCTATCCAAATGGTTCAAGAGA CCATTTGGATAGCGACCGCAATTTTTTCCAAAAGCTT

[i] siRNA, small interfering RNA; HOXA5, homeobox gene.

Cell culture and transfection

Jurkat cells were cultured in RPMI-1640 medium at 37°C, with a 5% volume fraction of CO2 and 30% saturated humidity. The medium was supplemented with 10% fetal calf serum, penicillin and streptomycin at a concentration of 100 IU/ml. The cells were grown in suspension, the medium was changed after 2–3 days, and the cells were passaged once. Experiments were conducted with cells in the logarithmic growth phase. To perform transfection, the cell concentration was adjusted to 3×107/ml in the RPMI-1640 medium with no serum and no antibiotics. The cells were divided into group A, blank control group (plus an equal amount of cells and culture media only); group B, the negative control group (liposomal transfection with negative control siRNA); and group C, the experimental group (liposomal transfection with HOXA5 targeting siRNA). The siRNA concentration for each transfection was 135 ng/μl according to the Lipofectamine™ 2000 specification, mixed with serum-free medium without antibiotics. The mixed liquid was transfected into Jurkat cells. G418 (200 g/ml) was added to the screened cells after 24 h of transfection. Monoclonal cells were selected after screening for 4 weeks and G418 (200 g/ml) medium was used to expand the culture. The experiment was repeated three times.

Detection of HOXA5 mRNA expression levels in Jurkat cells using QF-PCR

Jurkat cells in the logarithmic phase at 3×105 cells/well were transfected in the 6-well culture plate as the control group. The experimental and negative control groups were established using the early stably transfected cells seeded in a 6-well plate. The cells in each group were seeded in 2 wells and total RNA was extracted after 24 h. The conditions used to set up the PCR reaction and the calculation of the relative quantity of gene expression were described earlier. The gray-level ratio with HOXA5 and the internal reference gene GAPDH was used to indicate the relative expression of HOXA5 mRNA, prior to calculation of the experimental group HOXA5 mRNA inhibition rate. The HOXA5 mRNA inhibition rate was calculated as: [1- experimental group (HOXA5 mRNA relative expression level)/blank control group (HOXA5 mRNA relative expression level)] ×100%. The experiment was repeated three times.

Detection of HOXA5 protein expression levels using western blot analysis

Jurkat cells in the logarithmic phase were vaccinated in a 6-well culture plate. The cell groups, the density of inoculation and the transfection steps were similar to those described earlier. After 24 h of transfection, the cells were washed with cold PBS twice, cell lysis was performed and the cell lysate was collected and stored at −80°C. The conditions for the PCR reaction were performed as described earlier. The gray-level ratio with HOXA5 and the internal reference gene GAPDH were determined, the relative expression quantity of HOXA5 protein was expressed in the experimental group, and the calculation of HOXA5 protein inhibition rate was performed. The HOXA5 protein inhibition rate was calculated as: [1- experimental group (HOXA5 protein relative expression)/blank control group (HOXA5 protein relative expression)] ×100%. The experiment was repeated three times.

Detection of cell cycle

The cells in each group containing 0.5% serum in RPMI-1640 medium were cultured for 48 h after cell synchronization. The cells were cultured in complete medium for 48 h and then seeded at 5×105/well in a 6-well culture plate in a final volume of 1 ml. The cells were washed twice with ice-cold PBS solution, followed with ice-cold 70% ethanol and then fixed at 4°C for 2 h overnight. Subsequently, the cells were washed with PBS to remove the ethanol. Conventional PI staining was measured using flow cytometry and FACScan DNA analysis was performed to determine the content of DNA. The results were analyzed using MultiCycle software. Experiments were repeated three times.

Determination of the apoptotic rate using Annexin V-PE/7AAD

Jurkat cells in the logarithmic phase were seeded at 5×105 cells/well in a 6-well culture plate in a final volume of 1 ml. The cells were transfected with HOXA5-specific siRNA or the control siRNA. The cells were collected and washed with cold PBS twice. The cells were then resuspended in 50 μl of binding buffer, followed by 5 μl of 7-AAD. Staining was performed at a room temperature of 25°C for 5–15 min in the dark. This was followed by the addition of 450 μl of binding buffer, 1 μl of Annexin V-PE, at room temperature for 5–15 min in the dark. The apoptotic rate was determined using flow cytometry within 1 h. Experiments were repeated three times.

Statistical analysis

Data were analyzed using SPSS 13.0 statistical software (SPSS, Inc., Chicago, IL, USA). Measurement data were presented as means ± SD. ANOVA was used to compare groups, and multiple pairwise comparisons were made by the Dixon's q-test. P<0.05 was considered statistically significant.

Results

HOXA5 mRNA expression levels in bone marrow mononuclear cells

HOXA5 expression was observed in 7 of 20 control group patients with ITP (positive rate of 28%). HOXA5 was expressed in 16 of the 25 cases of children with ALL in the acute stage (positive rate of 64%). In the ALL remission group, HOXA5 was expressed in 10 of 25 cases (positive rate of 40%). The results of QF-PCR for the HOXA5 mRNA relative expression analysis in each group were: ALL acute phase 2−ΔΔCt 0.76±0.05% (F=16.31, P<0.05); ALL remission 2−ΔΔCt 0.48±0.07%; and control group (ITP) 2−ΔΔCt 0.47±0.08% (Fig. 1 and Table II).

Table II

Expression of HOXA5 mRNA in bone marrow of each group.

Table II

Expression of HOXA5 mRNA in bone marrow of each group.

GroupnHOXA5 mRNA positive rate
[cases (%)]
HOXA5 mRNA
(mean ± SD)
Control group207 (28)0.47±0.08
ALL acute phase2516 (64)a0.76±0.05a
ALL remission stage2510 (40)b0.48±0.07b

a Compared with the control group, P<0.05;

b compared with the control group, P>0.05. Expression of HOXA5 mRNA in the acute phase of ALL was significantly higher than that in the ALL remission stage and the control group. HOXA5, homeobox gene; ALL, acute lymphocytic leukemia.

HOXA5 protein expression levels in bone marrow mononuclear cells

The results of the western blot analysis of HOXA5 protein expression levels in bone marrow mononuclear cells were: ALL acute phase (0.70±0.02), ALL remission (0.39±0.03), control group ITP (0.42±0.02) (Fig. 2).

Jurkat cells transfected with recombinant vector

Green fluorescent protein was expressed in Jurkat cells transfected with pRNAT-GFP-Neo-siHOXA5C recombinant vector (Fig. 3). The transfection efficiency was ~60%.

QF-PCR amplification and melting curve

The experimental amplification curve shown in Fig. 4A and B is an s-shaped curve that demonstrates line dynamics. Following QF-PCR reaction at a temperature of 65–65°C, melting curve analysis was conducted and the results are shown in Fig. 4C and D. The homogeneous melting point of the HOXA5 gene and GAPDH was 84–85°C. The graphs have a single sharp absorption peak (Fig. 4C and D). No other product was observed and primer-dimer formation did not occur, indicating that the design of the primer had a good specificity (Fig. 4).

Effects of the recombinant vector on the expression of HOXA5 mRNA in Jurkat cells

QF-PCR results for the relative expression quantity of HOXA5 mRNA were: PRNAT-GFP-Neo-HOXA5A (1.01±0.03%), PRNAT-GFP-Neo-HOXA5B (0.87±0.02%), PRNAT-GFP-Neo-HOXA5C (0.39±0.01%), negative control group (1.34±0.06%), and blank control group (1.29±0.21%) (Fig. 5). The difference between the experimental, negative control and blank control groups was not statistically significant (P>0.05). The difference between the experimental, blank control and negative control groups was statistically significant (P<0.05), while there was no significant difference between the negative control and blank control groups (P>0.05). HOXA5 mRNA inhibition ratios were as follows: PRNAT-GFP-Neo-HOXA5A (24.62±2.34%), PR NAT- GF P-Neo -HOX A 5B (35. 07±3. 21%) a nd PRNAT-GFP-Neo-HOXA5C (70.89±6.41%) (Fig. 5). It was evident that of the three selected siRNAs, PRNAT-GFP-Neo- HOXA5C had the best interfering interference effects (Fig. 5). Consequently, PRNAT-GFP-Neo-HOXA5C was selected to conduct the subsequent experiments.

Effects of siRNA on HOXA5 protein expression levels in Jurkat cells

Western blot analysis was used to examine the expression of HOXA5 protein. The results revealed that, siRNA targeting of HOXA5 in Jurkat cells after 24 h decreased the expression of HOXA5 protein, pRNAT-GFP-Neo-HOXA5A (0.64±0.15), pRNAT-GFP-Neo-HOXA5B (0.41±0.06), pRNAT-GFP-Neo-HOXA5C (0.17±0.05), negative control group (0.73±0.12), and the blank control group (0.73±0.13) (Fig. 6). The difference between the experimental, blank control and negative control groups was statistically significant (P<0.05), while there was no significant difference between the negative control and blank control groups (P>0.05). The relative HOXA5 protein expression in the experimental group was significantly lower than that in the negative control and blank control groups. The HOXA5 protein inhibitory rate was: pRNAT-GFP-Neo-HOXA5A (12.32±3.12%), pRNAT-GFP-Neo-HOXA5B (43.83±4.13%) and pRNAT-GFP-Neo-HOXA5C (76.71±5.16%) (Fig. 6). The expression levels of the pRNAT-GFP-Neo-HOXA5C vector of the HOXA5 protein had a significant inhibitory effect and were shown to be effective in the interference for subsequent experiments.

Morphological changes in each group as revealed by the Wright's stain method

When observed under light microscopy and compared with the negative control and blank control groups, the experimental nuclear mass ratio in the experimental group decreased, and rare nuclear fission and the apoptotic rate increased (Fig. 7).

Effects of siRNA on cell cycle of Jurkat cells

Following the transfection of Jurkat cells with HOXA5 siRNA for 48 h, the ratio of Jurkat cells in the G0/G1 phase significantly increased (56.70±6.4 vs. 38.55±6% and 38.69±2.2%), whereas the ratio of cells in the S phase significantly decreased (29±5.5 vs. 49.53±8.3% and 48.86±6%) (Fig. 8 and Table III). This difference was statistically significant (P<0.05). No statistically significant difference was identified in the distribution of cells in the control and negative control groups (Fig. 8A and B, respectively, and Table III).

Table III

Distribution of the cell cycle 48 h after transfection (%, mean ± SD).

Table III

Distribution of the cell cycle 48 h after transfection (%, mean ± SD).

GroupG0/G1SG2/M
Control38.69±2.248.86±6.011.70±2.8
Negative control38.55±6.049.53±8.311.60±3.5
Experimental
(pRNAT-GFP-Neo-HOXA5C)
56.70±6.4a29.00±5.5a14.29±1.5b

a Experimental group (pRNAT-GFP-Neo-HOXA5C) compared with the control and negative control groups, P<0.05;

b experimental group (pRNAT-GFP-Neo-HOXA5C) compared with the empty vector and control groups, P>0.05.

Effects of recombinant vector on apoptosis in Jurkat cells

After staining with Annexin V-PE and 7-AAD, double labeling flow cytometry showed that the recombinant vector was transfected in Jurkat cells after 48 h. The apoptotic cell rate in the control, negative control and experimental groups was 13.98±1.05, 13.94±0.98 and 24.99±5.16%, respectively. The difference in the apoptotic rate between the experimental, control and negative control groups was statistically significant (P<0.05), whereas the difference between the negative control and control groups, was not statistically significant (P>0.05) (Fig. 9 and Table IV).

Table IV

Restructuring carrier effects on Jurkat cell apoptosis (%, mean ± SD).

Table IV

Restructuring carrier effects on Jurkat cell apoptosis (%, mean ± SD).

GroupFlow rate of apoptosis (%)
Control13.98±1.05
Negative control13.94±0.98
Experimental (pRNAT-GFP-Neo-HOXA5C)24.99±5.16a

a Experimental group (pRNAT-GFP-Neo-HOXA5) compared with the cells in the control and negative control groups, P<0.05.

Discussion

Leukemia is a malignant hyperplastic disease of the hematopoietic system, which ranks first among tumor diseases in children (14). Homeobox genes encode transcription factors that are members of the Hox gene family and participate in hematopoietic stem/progenitor cell (HSPC) proliferation, differentiation and maturation (15). They are a type of regulatory gene that controls embryonic and cell differentiation and is closely associated with the incidence of leukemia (1518). Normal mature tissues express HOX genes, which are silent, or expressed in the embryonic state during organization, leading to tumor development (19). HOX genes are important in the regulation of the hematopoietic proliferation and differentiation, as well as the abnormal expression of HOX genes, leading to the occurrence of leukemia (20). The head end (HOXA1-HOXA5) HOX gene, a positive marker of AML of mixed leukemia genes [mixed lineage leukemia (MLL)] is often characterized by abnormal protein expression (21). It has been suggested that MLL protein fusion is achieved by disordering the transcription of HOX genes (21). As a member of the family of HOX genes, HOXA5 is expressed in many organs and regulates gene expression, cell differentiation and the morphogenesis of body function (22). HOXA5 is a key regulator of the haematopoietic stem cell (HSC) cycle, and the inappropriate expression of HOXA5 in lineage-committed progenitor cells leads to aberrant erythropoiesis (22). Its structure and dysfunction is closely associated with the occurrence of leukemia. Kim et al (23) performed pyrosequencing to quantify the methylation level of the HOXA5 gene in the bone marrow samples obtained from 50 patients with AML and 19 normal controls. The results showed that the survival rate of AML patients with stage 3A cancer correlated with HOXA5 methylation (23).

Under certain conditions, changing the expression level of the HOXA gene may promote or inhibit the occurrence and development of a tumor (24). Although there are many methods of inhibiting gene expression, RNAi is the most commonly used. RNAi technology is a simple and effective alternative knockout genetic tool that has been developed in recent years (25,26). Moore et al (27) found that a significant expression of HOXA5 mediated by retrovirus causes myeloid differentiation but not erythroid differentiation of hematopoietic stem cells and progenitor cells. The findings of Liu et al (28) indicated that miR-196a is significantly upregulated in non-small cell lung cancer (NSCLC) tissues and regulates NSCLC cell proliferation, migration and invasion, partially via the downregulation of HOXA5. Thus, miR-196a is a potential therapeutic target for NSCLC intervention. The study of Wang et al (29) suggested that specific siRNA of CXCR4 effectively downregulates the expression of the CXCR4 gene and induces cell cycle arrest and apoptosis of Jurkat cells, while inhibiting cell proliferation. Other studies have shown that Jurkat cells of human leukemia cell line is an ideal RNAi experimental cell model (30,31). Therefore, the application of RNAi technology to downregulate HOXA5 expression may inhibit the proliferation and apoptosis of leukemia cells. A study by Zhang et al (32) showed that shRNA targeting of silent HOXA10 gene mediated by lentiviral vector, can effectively inhibit the proliferation and promote the apoptosis of U937 cells. Fan et al (33) study showed that RNAi technology combined with a small dose of Ara-C effectively inhibits the proliferation and induces the apoptosis of K562 cells.

The specific detection of QF-PCR and western blot analysis in the present study indicated that HOXA5 gene was expressed at high levels in ALL patients. The expression of ALL mRNA (0.76±0.05%) and protein (0.70±0.020%) in the acute phase was significantly higher than that in the remission stage and control groups. The experimental group (pRNAT-GFP-Neo-siHOXA5C) affected by siRNA showed lower mRNA (0.39±0.01%) and protein (0.17±0.05%) levels compared to the negative control and blank control groups. The results showed that pRNAT-GFP-Neo-siRNAHOXA5C HOXA5 carrier effectively silences gene expression and inhibits Jurkat cell proliferation. The cell cycle detected through flow cytometry showed that, compared with the negative control and blank control groups, the proportion of G0/G1 cells increased and the proportion of S phase cells decreased. Annexin V-PE/7-AAD double staining is an ideal method for detection of the apoptotic rate (34). In the present study, the experimental group (pRNAT-GFP-Neo-siHOXA5C) under the influence of siRNA showed a flow apoptotic rate of 24.99±5.16, which was higher as compared to that of the negative control group (13.94±0.98) and the blank control group (13.98±1.05). Following transfection, mRNA in the pRNAT-GFP-Neo siHOXA5C group was effectively reduced, and the apoptotic rate was significantly increased compared with the other groups. Another study has shown that the overexpression of HOXA5 inhibits apoptosis (34) by inhibiting its target genes. Flow cytometry showed that, in this group, siRNA carrier inhibited the ability of HOXA5 to promote Jurkat cell apoptotic rate, which was 24.99±5.16%. Compared with the negative control and blank control groups, the mRNA and protein expression of HOXA5 in Jurkat cells in the experimental group (pRNAT-GFP-Neo-siHOXA5C) was significantly reduced, the cell cycle was suppressed, and the apoptotic rate increased. The evidence showed that the construction of pRNAT-GFP-Neo-siHOXA5 in this experiment was successful.

The aforementioned results show that HOXA5 gene is highly expressed in ALL and closely associated with the occurrence of ALL in children. Eukaryotic expression carrier targeting HOXA5 constructed in the present study can effectively reduce the expression of HOXA5 in Jurkat leukemia cells and inhibit its proliferative ability by silencing the HOXA5 gene. Therefore, this eukaryotic expression carrier has the potential to become an effective gene therapy to treat leukemia.

Acknowledgments

We would like to thank the Science and Technology Bureau of Sichuan Province for its financial support (grant no. 201410).

References

1 

Ceppi F, Antillon F, Pacheco C, Sullivan CE, Lam CG, Howard SC and Conter V: Supportive medical care for children with acute lymphoblastic leukemia in low- and middle-income countries. Expert Rev Hematol. May 26–2015.Epub ahead of print. View Article : Google Scholar

2 

Lo-Coco F, Fouad TM and Ramadan SM: Acute leukemia in women. Womens Health (Lond Engl). 6:239–249. 2010. View Article : Google Scholar

3 

Pui CH: Recent research advances in childhood acute lymphoblastic leukemia. J Formos Med Assoc. 109:777–787. 2010. View Article : Google Scholar : PubMed/NCBI

4 

Strathdee G, Holyoake TL, Sim A, Parker A, Oscier DG, Melo JV, Meyer S, Eden T, Dickinson AM, Mountford JC, Jorgensen HG, Soutar R and Brown R: Inactivation of HOXA genes by hypermethylation in myeloid and lymphoid malignancy is frequent and associated with poor prognosis. Clin Cancer Res. 13:5048–5055. 2007. View Article : Google Scholar : PubMed/NCBI

5 

De Braekeleer E, Douet-Guilbert N, Basinko A, Le Bris MJ, Morel F and De Braekeleer M: Hox gene dysregulation in acute myeloid leukemia. Future Oncol. 10:475–495. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Lu TT and Liu W: Studies on the relationship between HOX genes and leukemia. J Pediatr Hematol Oncol. 18:1421452013.

7 

Delval S, Taminiau A, Lamy J, Lallemand C, Gilles C, Noël A and Rezsohazy R: The Pbx interaction motif of Hoxa1 is essential for its oncogenic activity. PLoS One. 6:e252472011. View Article : Google Scholar : PubMed/NCBI

8 

Okada Y, Jiang Q, Lemieux M, Jeannotte L, Su L and Zhang Y: Leukaemic transformation by CALMAF10 involves upregulation of HOXA5 by hDOT1L. Nat Cell Biol. 8:1017–1024. 2006. View Article : Google Scholar : PubMed/NCBI

9 

Bach C, Buhl S, Mueller D, García-Cuéllar MP, Maethner E and Slany RK: Leukemogenic transformation by HOXA cluster genes. Blood. 115:2910–2918. 2010. View Article : Google Scholar : PubMed/NCBI

10 

Boutter J, Huang Y, Marovca B, Vonderheit A, Grotzer MA, Eckert C, Cario G, Wollscheid B, Horvath P, Bornhauser BC and Bourquin JP: Image-based RNA interference screening reveals an individual dependence of acute lymphoblastic leukemia on stromal cysteine support. Oncotarget. 5:11501–11512. 2014. View Article : Google Scholar : PubMed/NCBI

11 

Landry B, Valencia-Serna J, Gul-Uludag H, Jiang X, Janowska-Wieczorek A, Brandwein J and Uludag H: Progress in RNAi-mediated molecular therapy of acute and chromic myeloid leukemia. Mol Ther Nucleic Acids. 4:e2402015. View Article : Google Scholar

12 

Olivieri D, Sykora MM, Sachidanandam R, Mechtler K and Brennecke J: An in vivo RNAi assay identifies major genetic and cellular requirements for primary piRNA biogenesis in Drosophila. EMBO J. 29:3301–3317. 2010. View Article : Google Scholar : PubMed/NCBI

13 

China Medical Sciences Branch of Hematology Group: Editorial Committee Member of Chinese Journal of Pediatrics. Diagnosis and treatment for children with acute lymphoblastic leukemia (Third Amendment Bill). Zhonghua Er Ke Za Zhi. 44:392–395. 2006.In Chinese.

14 

Qian X and Wen-jun L: Platelet changes in acute leukemia. Cell Biochem Biophys. 67:1473–1479. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Jiang Q and Liu WJ: Relationship between the HOX gene family and the acute myeloid leukemia-review. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 21:1340–1344. 2013.In Chinese. PubMed/NCBI

16 

Wen-jun L, Qu-lian G, Hong-ying C, Yan Z and Mei-Xian H: Studies on HOXB4 expression during differentiation of human cytomegalovirus-infected hematopoietic stem cells into lymphocyte and erythrocyte progenitor cells. Cell Biochem Biophys. 63:133–141. 2012. View Article : Google Scholar : PubMed/NCBI

17 

Liu WJ, Huang MX, Guo QL, Chen JH and Shi H: Effect of human cytomegalovirus infection on the expression of Hoxb2 and Hoxb4 genes in the developmental process of cord blood erythroid progenitors. Mol Med Rep. 4:1307–1311. 2011.PubMed/NCBI

18 

Liu WJ1, Jiang NJ, Guo QL and Xu Q: ATRA and As2O3 regulate differentiation of human hematopoietic stem cells into granulocyte progenitor via alteration of Hoxb8 expression. Eur Rev Med Pharmacol Sci. 19:1055–1062. 2015.

19 

Shah N and Sukumar S: The Hox genes and their roles in oncogenesis. Nat Rev Cancer. 10:361–371. 2010. View Article : Google Scholar : PubMed/NCBI

20 

Jiang N and Liu W: Role of HOX gene in occurrence of leukemia and study progress. J Appl Clin Pediatr. 27:215–217. 2012.In Chinese.

21 

Marschalek R: Mechanisms of leukemogenesis by MLL fusion proteins. Br J Haematol. 152:141–154. 2011. View Article : Google Scholar

22 

Yang D, Zhang X, Dong Y, Liu X, Wang T, Wang X, Geng Y, Fang S, Zheng Y, Chen X, et al: Enforced expression of Hoxa5 in haematopoietic stem cells leads to aberrant erythropoiesis in vivo. Cell Cycle. 14:612–620. 2015. View Article : Google Scholar : PubMed/NCBI

23 

Kim SY, Hwang SH, Song EJ, Shin HJ, Jung JS and Lee EY: Level of HOXA5 hypermethylation in acute myeloid leukemia is associated with short-term outcome. Korean J Lab Med. 30:469–473. 2010. View Article : Google Scholar : PubMed/NCBI

24 

Zhang ML, Nie FQ, Sun M, Xia R, Xie M, Lu KH and Li W: HOXA5 indicates poor prognosis and suppresses cell proliferation by regulating p21 expression in non small cell lung cancer. Tumour Biol. 36:3521–3531. 2015. View Article : Google Scholar : PubMed/NCBI

25 

Fujita Y, Kuwano K and Ochiya T: Development of small RNA delivery systems for lung cancer therapy. Int J Mol Sci. 16:5254–5270. 2015. View Article : Google Scholar : PubMed/NCBI

26 

Teng Z and Liu W: The research progress of RNA interference targeting leukemia HOXA genes. Chin J Pract Pediatr. 30:396–399. 2015.

27 

Moore MA, Dorn DC, Schuringa JJ, Chung KY and Morrone G: Constitutive activation of Flt3 and STAT5A enhances self-renewal and alters differentiation of hematopoietic stem cells. Exp Hematol. 35(Suppl 1): 105–116. 2007. View Article : Google Scholar : PubMed/NCBI

28 

Liu XH, Lu KH, Wang KM, Sun M, Zhang EB, Yang JS, Yin DD, Liu ZL, Zhou J, Liu ZJ, et al: MicroRNA-196a promotes non-small cell lung cancer cell proliferation and invasion through targeting HOXA5. BMC Cancer. 12:348–360. 2012. View Article : Google Scholar : PubMed/NCBI

29 

Wang Y, Liu XR, Tan YF and Yin XC: Effects of CXCR4 silence induced by RNA interference on cell cycle distribution and apoptosis of Jurkat cells. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 18:625–628. 2010.In Chinese. PubMed/NCBI

30 

Crnkovic-Mertens I, Hoppe-Seyler F and Butz K: Induction of apoptosis in tumor cells by siRNA-mediated silencing of the livin/ML-IAP/KIAP gene. Oncogene. 22:8330–8336. 2003. View Article : Google Scholar : PubMed/NCBI

31 

Wu H, Lin H, Zhu Y, Gu C, Ye Z and Zhang M: Establishment of Jurkat Cell Lines with Knockdown of BIRC7 Gene. J Sun Yat-Sen Univ. 29:139–143. 2008.In Chinese.

32 

Zhang YJ, Jia XH, Li JC and Xu YH: Effect of HOXA10 gene silenced by shRNA on proliferation and apoptosis of U937 cell line. Zhongguo Dang Dai Er Ke Za Zhi. 14:785–791. 2012.In Chinese. PubMed/NCBI

33 

Fan W, Jia X, Li J, Tang S and Zhu S: Effects of RNA interference and low dose cytarabine on proliferation and apoptosis of K562 cells. J Appl Clin Pediatr. 27:1177–1180. 2012.

34 

Chen H, Chung S and Sukumar S: HOXA5-induced apoptosis in breast cancer cells is mediated by caspases 2 and 8. Mol Cell Biol. 24:924–935. 2004. View Article : Google Scholar : PubMed/NCBI

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March-2016
Volume 37 Issue 3

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Online ISSN:1791-244X

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Spandidos Publications style
Huang H, Liu W, Guo Q and Bai Y: Effect of silencing HOXA5 gene expression using RNA interference on cell cycle and apoptosis in Jurkat cells. Int J Mol Med 37: 669-678, 2016.
APA
Huang, H., Liu, W., Guo, Q., & Bai, Y. (2016). Effect of silencing HOXA5 gene expression using RNA interference on cell cycle and apoptosis in Jurkat cells. International Journal of Molecular Medicine, 37, 669-678. https://doi.org/10.3892/ijmm.2016.2480
MLA
Huang, H., Liu, W., Guo, Q., Bai, Y."Effect of silencing HOXA5 gene expression using RNA interference on cell cycle and apoptosis in Jurkat cells". International Journal of Molecular Medicine 37.3 (2016): 669-678.
Chicago
Huang, H., Liu, W., Guo, Q., Bai, Y."Effect of silencing HOXA5 gene expression using RNA interference on cell cycle and apoptosis in Jurkat cells". International Journal of Molecular Medicine 37, no. 3 (2016): 669-678. https://doi.org/10.3892/ijmm.2016.2480