Literature DB >> 28123535

The effect of miR-146a on STAT1 expression and apoptosis in acute lymphoblastic leukemia Jurkat cells.

Weihong Yan1, Hua Guo1, Feng Suo2, Chunling Han1, Hua Zheng1, Tong Chen1.   

Abstract

The effect of miR-146a-dependent regulation of STAT1 on apoptosis in acute lymphoblastic leukemia (ALL) Jurkat cells was investigated. The miR-146a mimic and miR-146a inhibitor vectors were constructed in vitro, and experimental grouping was as follows: Control group (untreated Jurkat cells), empty vector group (Jurkat cells transfected with empty vector), agonist group (Jurkat cells transfected with miR-146a mimic) and the inhibitor group (Jurkat cells transfected with miR-146a inhibitor). Western blot analysis was used to observe the expression, respectively, of STAT1, p-STAT1 and Bcl-xL, and flow cytometry was used to test apoptosis in Jurkat cells. STAT1 and p-STAT1 expression in the agonist group was higher than that in the control and empty vector groups, but lower in the inhibitor group, and differences were statistically significant (P<0.05). The rate of apoptosis in the agonist group was significantly higher than that of the control group and blank vector group, and it was significantly lower in the inhibitor group (P<0.05). As a tumor suppressor, miR-146a can regulate expression of apoptosis-promoting factor STAT1, and anti-apoptosis factor Bcl-xL, and is able to promote apoptosis of ALL Jurkat cells.

Entities:  

Keywords:  Jurkat cells; STAT1; acute lymphoblastic leukemia; apoptosis; miR-146a

Year:  2016        PMID: 28123535      PMCID: PMC5244898          DOI: 10.3892/ol.2016.5395

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

As a negative regulator of the acute-phase reaction in vivo, miR-146a plays an important role in various inflammatory and tumor related processes (1,2). Deficiency of miR-146a can result in leukemia in mice (3). The study by Zhang et al (4) showed that miR-146a was the only miRNA species which was elevated in both childhood acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). The transcription factor, STAT1 exerts its pro-apoptotic function by inducing the expression of caspases or by inhibiting growth-promoting NF-κB signals (5). Bcl-xL is a member of the anti-apoptotic Bcl-2 family protein, key regulators of the mitochondrial apoptosis pathway (6). In the present study, we analyzed the effect of miR-146a on the apoptotic mechanism of ALL Jurkat cells, in order to provide a basis for clinical treatment.

Materials and methods

Cells

Jurkat cells were obtained from the Chinese Type Culture Collection Center of Wuhan University (Wuhan, China). They were cultured in RPMI-1640 supplemented with 10% fetal bovine serum (both from Gibco BRL, Gaithersburg, MD, USA) in an incubator set to 37°C and 5% CO2 (Forma 3110 model; Thermo Fisher Scientific, Waltham, MA, USA). Actively growing cells were selected for seeding in 12-well culture plates (Corning Inc., Corning, NY, USA) at a density of 1.5×106 cells/well, and then were returned to the incubator under the same growth conditions. Fresh Opti-MEM culture medium (Gibco BRL) was added to cells before transfection. According to the manufacturer's instructions, Opti-MEM culture medium was used to dilute miR-146a mimic and miR-146a inhibitor (both from Guangzhou Ruibo Biotechnology Co., Ltd., Guangzhou, China) and Trans-EZ transfection reagent (Shanghai Shengbo Biotech Co., Ltd., Shanghai, China). Trans-EZ transfection reagent and miR-146a mimic were sufficiently mixed with the inhibitor to form stable transfection complexes.

Electrotransfection of miR-146a overexpression vector

Cell Line Nucleofector® Solutions V electrotransfection reagent was mixed with supplement according to the proportion of 4.5:1. Cells (1×106) were centrifuged and resuspended in 100-µl electrotransfection reagent and allowed to incubate for 10 min. Two micrograms of miR-146a overexpression vector (Zimmer, Shanghai, China) encoding DNA, 2 µg negative control DNA vector, and 2 µg pmaxGFP® vector were added to the cell suspensions and mixed. The product was then transferred to an electrotransfection cup, and the cover was fastened down. An Amaxa electrotransfection instrument (Bio-Rad, Berkeley, CA, USA) was used to perform the electrotransfection procedure, and the program was started. Transfection efficiency of the cells was observed under a fluorescence microscope (AX-70, Olympus, Tokyo, Japan) and images were captured.

Experimental grouping

Jurkat cells were treated as follows for western blot analyses and FACS analysis of apoptosis: Control group (untreated Jurkat cells), empty vector group (Jurkat cell transfected with empty vector), agonist group (Jurkat cell transfected with miR-146a mimic) and inhibitor group (Jurkat cells transfected with miR-146a inhibitor).

Western blot analysis

Total protein was extracted and measured for purity according to a previous study (4). Protein samples were separated by SDS-PAGE electrophoresis (Bio-Rad mini vertical electrophoresis apparatus). Separated protein was then transferred to cellulose acetate membranes (NC membranes). Membranes were blocked in 5% skim milk in TBST. Membranes were then incubated in primary antibody [mouse anti-STAT1, p-STAT1 and Bcl-xL mAbs, used at a dilution of 1:1,000 and rabbit polyclonal β-actin antibody were all obtained from BIOSS (Beijing, China) and used at a dilution of 1:500]. Secondary antibody (horseradish peroxidase-labeled secondary antibody was purchased from Sigma (St. Louis, MO, USA) and used at a dilution of 1:200. ECL reagent was used for signal development (Amersham Biosciences, Uppsala, Sweden). Membranes were exposed and photographed with a FluorChem 8000 gel-imaging analyzer (Alpha Innotech, San Leandro, CA, USA).

Flow cytometry (FCM) (FACS)

We used an Annexin V/PI double-staining FCM reagent kit (C60 Biotech) and a flow cytometer (FACScalibur model; Becton-Dickinson, Franklin Lakes, NJ, USA) installed with CellQuest software to conduct the analysis.

Statistical analysis

SPSS 20.0 software (Chicago, IL, USA) was used to conduct statistical analyses. Data are expressed as mean ± standard deviation, and single-factor ANOVA analysis was used for comparison among groups. P<0.05 was considered to indicate a statistically significant difference.

Results

Expression of STAT1, p-STAT1 and Bcl-xL

STAT1 and p-STAT1 expression in the agonist (miR-146a mimic) group was higher than in the control group and empty vector group, and was lowest in the inhibitor group. The differences between groups were statistically significant (P<0.05). Bcl-xL expression in the agonist group was lower than that in the blank control group and blank vector group, while this expression was the highest in inhibitor group. Differences were statistically significant (P<0.05) as shown in Table I and Fig. 1.
Table I.

Expression of STAT1, p-STAT1 and Bcl-xL.

GroupsSTAT1p-STAT1Bcl-xL
Blank control0.40±0.060.33±0.050.46±0.07
Blank vector0.41±0.050.30±0.050.43±0.06
Agonist0.47±0.090.65±0.080.20±0.03
Inhibitor0.35±0.060.12±0.040.55±0.05
F-value6.5328.5277.421
P-value0.0250.0090.016
Figure 1.

Western blot analysis. The levels of expression of STAT1, p-STAT1 and Bcl-xL in the different groups were assessed by western blot analysis. All experiments were repeated three times.

Jurkat cell apoptosis

Apoptosis in the agonist group was significantly higher than in the blank control group and blank vector group. Apoptosis was lowest in the inhibitor group agonist, 34.8±6.3% vs. control, 11.5±4.7% vs. empty vector, 12.3±4.6% vs. inhibitor, 4.9±1.5%; F=18.629, P<0.001) (Fig. 2).
Figure 2.

Detection of apoptosis. Apoptosis rates of the cells in each group as determined by Annexin-V/PI double-staining FCM. All experiments were repeated three times. FCM, flow cytometry.

Discussion

Expression of miR-146a is mainly located in hematopoietic stem cells and T lymphocytes (7). If miR-146a is overexpressed in hematopoietic stem cells and bone marrow transplantation is conducted, instantaneous marrow expansion will occur, erythropoiesis will be reduced and lymphocytopoiesis will be suppressed (8). Increased miR-146a expression is deleterious for marrow reconstruction in mice and reduces the survival rate of hematopoietic stem cells (9). Previous studies report that miR-146a regulates various aspects of the differentiation and survival of hematopoietic cells. Moreover, the effect of miR-146a expression in hematopoietic cells is similar to that of treatment with LPS (10). Expression of miR-146a was upregulated in the process of leukemia cell apoptosis induced by multiple drugs such as imatinib and all-trans retinoic acid, which may be related to the pro-apoptotic or anti-apoptotic activities of multiple transcription factors (11,12). The STAT family of proteins is responsible for transducing signals from growth factor receptors on the cytoplasmic membrane into the nucleus in order to regulate gene expression (12). Experiments using mutant cell lines and knockout mice have shown that STAT1 plays a significant role in interferon (IFN)-γ and IFN-α/β mediated signaling. The activity of STAT1 is tightly regulated by multiple mechanisms including post-translational modification, regulatory proteins and modulation by other STAT family members (13–15). In a previous study, it was shown that (16) miR-146a can influence STAT1 activity via multiple pathways. Modifications such as phosphorylation, acetylation and ubiquitination can regulate the transcriptional activity of STAT1. Overexpression of miR-146a can induce cytoplasmic tyrosine kinase activity of JAK family proteins, promote phosphorylation of tyrosine-701 on STAT1, promote dimerization of STAT1 as well as increase its nuclear translocation and DNA binding activity (17). Downstrean of IFN signals, phosphorylation of serine residues is necessary for maximum expression of STAT1 target genes. The p38 MAPK kinase exerts an important influence on phosphorylation of serine on STAT1 serine site induced by miR-146a (18). In mammals, there are two main pathways of apoptosis: The extrinsic pathway mediated by death receptors (DR) and the intrinsic pathway induced by mitochondria. Bcl-2 family proteins are equivalent to a molecular ‘rheostat’ which regulates the mitochondrial apoptosis pathway (19). Overexpression of Bcl-xL is regarded as being anti-apoptotic. Compared with Bcl-2, Bcl-xL can inhibit DISC formation and presentation and excitation of Bid, which indicates that Bcl-xL can inhibit upstream signaling in TNF-induced apoptosis more effectively than Bcl-2 (20). Overexpression of Bcl-xL can inhibit disruption of the DeltaPsim (inner mitochondrial membrane potential) and reduce generation of ROS and MMP (21). The growth-promoting activity of Bcl-xL has been explored in a series of overexpression and gene knockout studies (6,22). From the present study, we can conclude that STAT1 and p-STAT1 expression was significantly increased when treated with miR-146a mimic over the control group and empty vector group. Additionally, STAT1 and p-STAT1 expression was lowest in cells treated with the miR-146a mimic inhibitor. Apoptosis in Jurkat cells was higher when treated with miR-146a mimic over the control group and empty vector group, and lowest in the inhibitor treated group. The differences were all statistically significant (P<0.05). This indicates that as a tumor suppressor, miR-146a can regulate the expression of the pro-apoptotic factor, STAT1 and the anti-apoptotic factor Bcl-xL and is able to promote apoptosis of ALL Jurkat cells. However, future studies are required to confirm the findings.
  22 in total

1.  STAT transcript levels in childhood acute lymphoblastic leukemia: STAT1 and STAT3 transcript correlations.

Authors:  Maria Adamaki; Maria Tsotra; Spiros Vlahopoulos; Archontis Zampogiannis; Athanasios G Papavassiliou; Maria Moschovi
Journal:  Leuk Res       Date:  2015-09-11       Impact factor: 3.156

2.  Cisplatin-induced apoptosis in non-small-cell lung cancer cells is dependent on Bax- and Bak-induction pathway and synergistically activated by BH3-mimetic ABT-263 in p53 wild-type and mutant cells.

Authors:  Masaru Matsumoto; Wataru Nakajima; Masahiro Seike; Akihiko Gemma; Nobuyuki Tanaka
Journal:  Biochem Biophys Res Commun       Date:  2016-03-18       Impact factor: 3.575

3.  STAT1: A Novel Target of miR-150 and miR-223 Is Involved in the Proliferation of HTLV-I-Transformed and ATL Cells.

Authors:  Ramona Moles; Marcia Bellon; Christophe Nicot
Journal:  Neoplasia       Date:  2015-05       Impact factor: 5.715

4.  Prospective evaluation of whole genome microRNA expression profiling in childhood acute lymphoblastic leukemia.

Authors:  Muhterem Duyu; Burak Durmaz; Cumhur Gunduz; Canan Vergin; Deniz Yilmaz Karapinar; Serap Aksoylar; Kaan Kavakli; Nazan Cetingul; Gulersu Irken; Yontem Yaman; Ferda Ozkinay; Ozgur Cogulu
Journal:  Biomed Res Int       Date:  2014-05-14       Impact factor: 3.411

5.  Family of microRNA-146 Regulates RARβ in Papillary Thyroid Carcinoma.

Authors:  Agnieszka Anna Czajka; Anna Wójcicka; Anna Kubiak; Marta Kotlarek; Elwira Bakuła-Zalewska; Łukasz Koperski; Wiesław Wiechno; Krystian Jażdżewski
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

6.  Transcription factor and miRNA co-regulatory network reveals shared and specific regulators in the development of B cell and T cell.

Authors:  Ying Lin; Qiong Zhang; Hong-Mei Zhang; Wei Liu; Chun-Jie Liu; Qiubai Li; An-Yuan Guo
Journal:  Sci Rep       Date:  2015-10-21       Impact factor: 4.379

7.  miR-146a expression level as a novel putative prognostic marker for acute promyelocytic leukemia.

Authors:  Lan Xu; Hua Zhong; Haixia Wan; Fang-yuan Chen; Jihua Zhong; Fei Xiao; Jia Liu; Lijing Shen
Journal:  Dis Markers       Date:  2014-08-05       Impact factor: 3.434

8.  17β-estradiol ameliorates age-associated loss of fibroblast function by attenuating IFN-γ/STAT1-dependent miR-7 upregulation.

Authors:  Adam C Midgley; Glyn Morris; Aled O Phillips; Robert Steadman
Journal:  Aging Cell       Date:  2016-03-02       Impact factor: 9.304

9.  A novel small molecule STAT3 inhibitor, LY5, inhibits cell viability, colony formation, and migration of colon and liver cancer cells.

Authors:  Chongqiang Zhao; Wenlong Wang; Wenying Yu; David Jou; Yina Wang; Haiyan Ma; Hui Xiao; Hua Qin; Cuntai Zhang; Jiagao Lü; Sheng Li; Chenglong Li; Jiayuh Lin; Li Lin
Journal:  Oncotarget       Date:  2016-03-15

10.  High CIP2A levels correlate with an antiapoptotic phenotype that can be overcome by targeting BCL-XL in chronic myeloid leukemia.

Authors:  C M Lucas; M Milani; M Butterworth; N Carmell; L J Scott; R E Clark; G M Cohen; S Varadarajan
Journal:  Leukemia       Date:  2016-02-29       Impact factor: 11.528

View more
  5 in total

1.  A genetic variant in miR-100 is a protective factor of childhood acute lymphoblastic leukemia.

Authors:  Yao Xue; Xiaoyun Yang; Shaoyan Hu; Meiyun Kang; Jing Chen; Yongjun Fang
Journal:  Cancer Med       Date:  2019-03-07       Impact factor: 4.452

2.  miR-146a Deficiency Accelerates Hepatic Inflammation Without Influencing Diet-induced Obesity in Mice.

Authors:  Aida Javidan; Weihua Jiang; Michihiro Okuyama; Devi Thiagarajan; Lihua Yang; Jessica J Moorleghen; Latha Muniappan; Venkateswaran Subramanian
Journal:  Sci Rep       Date:  2019-09-02       Impact factor: 4.379

3.  Association Analysis Between the Functional Single Nucleotide Variants in miR-146a, miR-196a-2, miR-499a, and miR-612 With Acute Lymphoblastic Leukemia.

Authors:  Silvia Jiménez-Morales; Juan Carlos Núñez-Enríquez; Jazmín Cruz-Islas; Vilma Carolina Bekker-Méndez; Elva Jiménez-Hernández; Aurora Medina-Sanson; Irma Olarte-Carrillo; Adolfo Martínez-Tovar; Janet Flores-Lujano; Julian Ramírez-Bello; María Luisa Pérez-Saldívar; Jorge Alfonso Martín-Trejo; Héctor Pérez-Lorenzana; Raquel Amador-Sánchez; Felix Gustavo Mora-Ríos; José Gabriel Peñaloza-González; David Aldebarán Duarte-Rodríguez; José Refugio Torres-Nava; Juan Eduardo Flores-Bautista; Rosa Martha Espinosa-Elizondo; Pedro Francisco Román-Zepeda; Luz Victoria Flores-Villegas; Edna Liliana Tamez-Gómez; Víctor Hugo López-García; José Ramón Lara-Ramos; Juana Esther González-Ulivarri; Sofía Irene Martínez-Silva; Gilberto Espinoza-Anrubio; Carolina Almeida-Hernández; Rosario Ramírez-Colorado; Luis Hernández-Mora; Luis Ramiro García-López; Gabriela Adriana Cruz-Ojeda; Arturo Emilio Godoy-Esquivel; Iris Contreras-Hernández; Abraham Medina-Hernández; María Guadalupe López-Caballero; Norma Angélica Hernández-Pineda; Jorge Granados-Kraulles; María Adriana Rodríguez-Vázquez; Delfino Torres-Valle; Carlos Cortés-Reyes; Francisco Medrano-López; Jessica Arleet Pérez-Gómez; Annel Martínez-Ríos; Antonio Aguilar-De-Los-Santos; Berenice Serafin-Díaz; María de Lourdes Gutiérrez-Rivera; Laura Elizabeth Merino-Pasaye; Gilberto Vargas-Alarcón; Minerva Mata-Rocha; Omar Alejandro Sepúlveda-Robles; Haydeé Rosas-Vargas; Alfredo Hidalgo-Miranda; Juan Manuel Mejía-Aranguré
Journal:  Front Oncol       Date:  2021-11-05       Impact factor: 6.244

4.  Circulating miR-146a expression as a non-invasive predictive biomarker for acute lymphoblastic leukemia.

Authors:  Samiah Shahid; Wajeehah Shahid; Jawaria Shaheen; M Waheed Akhtar; Saima Sadaf
Journal:  Sci Rep       Date:  2021-11-23       Impact factor: 4.379

5.  ETV6/RUNX1 Fusion Gene Abrogation Decreases the Oncogenicity of Tumour Cells in a Preclinical Model of Acute Lymphoblastic Leukaemia.

Authors:  Adrián Montaño; Jose Luis Ordoñez; Verónica Alonso-Pérez; Jesús Hernández-Sánchez; Sandra Santos; Teresa González; Rocío Benito; Ignacio García-Tuñón; Jesús María Hernández-Rivas
Journal:  Cells       Date:  2020-01-15       Impact factor: 6.600

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.