Skip to content

Advertisement

BMC Biology

  • Research article
  • Open Access

A single-nucleotide polymorphism in the human p27kip1gene (-838C>A) affects basal promoter activity and the risk of myocardial infarction

  • Pelayo González1,
  • Antonio Díez-Juan2,
  • Eliecer Coto1Email author,
  • Victoria Álvarez1,
  • Julian R Reguero1,
  • Alberto Batalla3 and
  • Vicente Andrés2
BMC Biology20042:5

https://doi.org/10.1186/1741-7007-2-5

©  González et al; licensee BioMed Central Ltd. 2004

Received: 19 December 2003

Accepted: 02 April 2004

Published: 02 April 2004

Abstract

Background

Excessive proliferation of vascular smooth muscle cells and leukocytes within the artery wall is a major event in the development of atherosclerosis. The growth suppressor p27kip1 associates with several cyclin-dependent kinase/cyclin complexes, thereby abrogating their capacity to induce progression through the cell cycle. Recent studies have implicated p27kip1 in the control of neointimal hyperplasia. For instance, p27kip1 ablation in apolipoprotein-E-null mice enhanced arterial cell proliferation and accelerated atherogenesis induced by dietary cholesterol. Therefore, p27kip1 is a candidate gene to modify the risk of developing atherosclerosis and associated ischaemic events (i.e., myocardial infarction and stroke).

Results

In this study we found three common single-nucleotide polymorphisms in the human p27kip1 gene (+326T>G [V109G], -79C>T, and -838C>A). The frequency of -838A carriers was significantly increased in myocardial infarction patients compared to healthy controls (odds ratio [OR] = 1.73, 95% confidence interval [95%CI] = 1.12–2.70). In addition, luciferase reporter constructs driven by the human p27kip1 gene promoter containing A at position -838 had decreased basal transcriptional activity when transiently transfected in Jurkat cells, compared with constructs bearing C in -838 (P = 0.04).

Conclusions

These data suggest that -838A is associated with reduced p27kip1 promoter activity and increased risk of myocardial infarction.

Keywords

myocardial infarctionp27kip1 single-nucleotide polymorphisms

Background

The proliferation of leukocytes and vascular smooth muscle cells (VSMCs) within the artery wall is a hallmark of the atherosclerotic process [1]. The exposure of coronary arteries to chemical and mechanical injury triggers an inflammatory response characterized by excessive arterial cell proliferation. Progression through the cell cycle depends on the sequential activation of several cyclin-dependent kinases (CDKs). Activation of CDKs requires their interaction with regulatory subunits named cyclins. In resting cells, cyclin–CDK complexes are inhibited by the reversible association with CDK inhibitory proteins (CKIs) of the Cip/Kip family (p21cip1, p27kip1, and p57kip2) and Ink4 family (p16Ink4a, p15Ink4b, p18Ink4c, p19Ink4d) [2].

In recent years, accumulating evidence has implicated p27kip1 as an important endogenous regulator of leukocyte and VSMC proliferation in various pathophysiological situations [3–7]. Remarkably, p27kip1 expression and proliferation of VSMCs and leukocytes are inversely correlated in human atheroma, and a significantly lower level of p27kip1 expression has been reported in primary atherosclerotic and restenotic tissue versus nondiseased arterial tissue [8–10]. We have previously shown that fat-fed mice deficient in both apolipoprotein E (apoE) and p27kip1 display increased arterial cell proliferation and accelerated atherogenesis compared to apoE-null mice with an intact p27kip1 gene [11]. We also found that reconstitution of sublethally irradiated apoE-null mice with p27kip1-deficient bone marrow was sufficient to enhance arterial macrophage proliferation and atherosclerosis induced by fat feeding [12]. In view of these findings, the present study was designed to assess whether p27kip1 is a candidate gene to modify the risk of developing atherosclerosis and consecutive myocardial infarction (MI) in humans.

Results

Identification of p27kip1polymorphisms and genotyping of MI patients and controls

The complete coding sequence as well as 1500 base pairs of the promoter region of the human p27kip1 gene were analysed through single-strand conformation analysis (SSCA) in 50 MI patients and 50 controls. As shown in Fig. 1, we identified different electrophoretic patterns in p27kip1 DNA fragments obtained with primers P3-F+P3-R3, P1-F+P1-R, and E1-F+E1-R (Table 1). After direct sequencing, we identified three single-nucleotide polymorphisms (SNPs) within the human p27kip1 gene: +326T>G (V109G), -79C>T, and -838C>A (nucleotide positions numbered relative to the start of transcription according to Genbank accession number AB003688). +326T>G (V109G) and -79C>T have been previously described (rs2066827 and rs34330, respectively), and -838C>A is a novel polymorphism. +326T>G (V109G) is a missense polymorphism in exon 1 which has been previously analysed in the context of susceptibility to several types of cancer [13–15]. This polymorphism lies within the domain of p27kip that is required for interaction with p38jab1, a protein–protein association that promotes p27kip1 proteolysis [16]. The -79C>T is a polymorphism within a U-rich element in the 5' untranslated sequence of p27kip1 which is necessary for the translation of the p27kip1 mRNA [17].
Figure 1
Figure 1

Single-strand conformation analysis of the -838C>A polymorphism within the human p27 kip1 gene. Note the distinct electrophoretic patterns for AA homozygotes, CC homozygotes, and CA heterozygotes.

Table 1

Primers used to amplify the p27kip1 gene for single-strand conformation analysis (SSCA).

Amplified sequence

Primer sequence*

Annealing temperature

PCR product length (bp)

promoter

P5-F: GGAGGAAGGAAGGAGCTGTTGTA

P5-R: AAGCCAAAGCGAACGTCTTTC

62°C

360

promoter

P4-F: ATGATAAGTGCCGCGTCTACTCCT

P4-F: ACCAGAGGACCGCGAAGGT

62°C

310

promoter

P3-F: GGCCGAGCTGGGGGCAGCT

P3-R: TTAACCTGGCCCCGGCGC

66°C

362

promoter

P2-F: TCGGGGAGGCGGCGCGCTCG

P2-R: AGAGGGTGGCAAAGCCCGTC

62°C

360

promoter

P1-F: TGGGTTCGCGGGACCGCG

P1-R: CTGCCTGGCGTCCATCCG

62°C

385

Exon 1

E1-F: TGCGAGTGTCTAACGGGAGC

E1-R: TTACCGTCGGTTGCAGGTC

58°C

472

Exon 2

E2-F: TAAAGATTGTGTGTTCTTTTTAA

E2-R: TATCGTGAGGTCTGAAGGCC

55°C

230

* F: forward; R, reverse.

To genotype these polymorphisms in MI patients and controls, we developed a protocol based on endonuclease digestion of DNA fragments obtained by amplification with the primers shown in Table 2. Table 3 summarizes the genotype and allele frequencies for the three polymorphisms in 180 MI patients and 250 controls. The frequencies for the -79C>T and +326T>G (V109G) polymorphisms did not differ between the two groups. For the -838C>A polymorphism, the A allele was significantly more frequent in cases compared to control subjects (P = 0.002; OR = 1.53; 95%CI = 1.15–2.03). Carriers of the A allele (AA+AC genotypes) would have an almost twofold risk of suffering an episode of MI compared to controls (P = 0.009; OR = 1.73; 95%CI = 1.12–2.70).
Table 2

Primers used to genotype the single-nucleotide polymorphisms (SNPs).

SNP

Primer sequence*

Annealing temperature (Enzyme)

PCR product length after digestion (bp)

-838C>A

F: TCCAGGTCCCGGCTTCCCGGt**

R: CCTGCTCTGGCTGGCCTCGGAG

65°C (TaqI)

177 (A allele) 153+24 (C allele)

-79C>T

F: TGATCAGCGGAGACTCGGCG

R:CTGCCTGGCGTCCATCCG

58°C (HaeIII)

275 (T allele) 140+135 (C allele)

+326T>G (V109G)

F: TGCGAGTGTCTAACGGGAGC

R: TTACCGTCGGTTGCAGGTC

58°C (BglI)

472 (T allele) 316+156 (G allele)

* F: forward; R, reverse. ** A mismatch to create a TaqI site when -838C is present is shown in lower case.

Table 3

Genotype frequencies for the -838C>A, -79C>T, and V109G p27kip1 single-nucleotide polymorphisms (SNPs).

 

-838C>A*

 

CC

CA

AA

Patients

47 (26%)

88 (49%)

45 (25%)

Controls

95 (38%)

115 (46%)

40 (16%)

 

-79C>T

 

CC

CT

TT

Patients

99 (55%)

70 (39%)

11 (6%)

Controls

152 (61%)

82 (32%)

16 (7%)

 

V109G

 

VV

VG

GG

Patients

100 (55%)

71 (40%)

9 (5%)

Controls

143 (57%)

98 (39%)

9 (4%)

*P = 0.009; OR = 1.73, 95%CI = 1.12–2.70 (AA+AC) vs CC. For each SNP, the table shows the total number of cases for each genotype and their relative frequencies among controls and patients with myocardial infarction.

Functional effect of the -838C>A polymorphism in the promoter region of the human p27kip1gene

Having demonstrated that the -838A allele of the p27kip1 gene is associated with MI, we sought to determine whether the -838C>A genetic variation has functional consequences. Because this SNP lies within the promoter region, we examined in transiently transfected Jurkat cells the activity of reporter constructs driven by the human p27kip1 gene promoter containing either nucleotide A or C at position -838. We generated two different pGL3-p27kip1 constructs for each A and C alleles (pGL3-p27kip1 A and pGL3-p27kip1 C, respectively), and performed three independent transfections with each construct. To correct for differences in transfection efficiency, cells were cotransfected with a plasmid encoding for the green fluorescent protein (GFP) (see Methods). After normalizing luciferase activity by the internal GFP control, the average transcriptional activity of pGL3-p27kip1 A was 34% less than that of pGL3-p27kip1 C (P = 0.04) (Fig. 2).
Figure 2
Figure 2

Transcriptional activity in Jurkat cells transfected with luciferase reporter gene constructs driven by the p27 kip1 gene promoter containing the -838C or A allelic variants. Luciferase activity was normalized by the internal control green fluorescent protein. Data represent the means ± SD of six independent transfections (P = 0.04 in t-test).

Discussion

VSMC and macrophage proliferation within the artery wall is a major event in the development of the atherosclerotic lesion, a pathological hallmark of coronary artery disease. The CKI p27kip1 is a tumour suppressor that functions as a brake against excessive cell proliferation [2]. Several recent studies have suggested an important role for p27kip1 as a negative regulator of arterial cell proliferation and atheroma development. First, both whole body genetic ablation of p27kip1 and selective p27kip1 inactivation in haematopoietic precursors increase neointimal cell proliferation and accelerates atherosclerosis in fat-fed apoE-null mice [11, 12]. Second, evidence has been presented suggesting that p27kip1 expression and arterial cell proliferation are inversely correlated within human neointimal lesions [8–10].

In addition to environmental risk factors, such as smoking, hypertension, and hypercholesterolaemia, genetic factors may also increase the risk of atherosclerosis and associated ischaemic events. For example, evidence exists indicating that polymorphisms in the components of the renin–angiotensin system, nitric oxide synthases, apolipoproteins, and several cytokines/chemokines and growth factors could modulate the risk of suffering an episode of MI. Genetic variations must fulfil two criteria to be considered candidate modifiers of cardiovascular risk: the corresponding gene encodes a protein involved in vascular physiology or in atheroma development, and the nucleotide change affects gene expression and/or function. In the present study, we have investigated whether genetic variations within the p27kip1 are associated with increased risk of MI. Among the three SNPs described here, only -838C>A showed differences in allele frequency between cases and controls. Carriers of the -838A allele (AA+AC genotypes) would have an almost twofold risk of suffering an episode of MI compared to controls (OR = 1.73; 95%CI = 1.12–2.70), and the risk increased to twofold for AA homozygous (OR = 2.27; 95%CI = 1.26–4.10; AA versus CC).

Because -838C>A lies within the promoter region of p27kip1, we examined whether this SNP affects p27kip1 gene expression. Transient transfection experiments revealed a 34% reduction in promoter activity for -838A compared with the -838C allele. Thus, reduced p27kip1 expression in -838A carriers might facilitate neointimal hyperplasia and therefore accelerate atheroma progression and increase the risk of MI. Distinct transcription factor binding and/or activity may contribute to the difference in -838A and -838C p27kip1 promoter activity. Indeed, analysis of the promoter sequence containing the -838C>A SNP using the MatInspector v2.2 and TRANSFAC v7.3 software revealed potential binding sites for several transcription factors, including STAT and IK-2. However, additional studies are required to conclusively address whether specific transcription factors are involved in different transcriptional activation of -838A versus -838C. These studies should provide valuable insight not only for atherosclerosis but also for cancer, as p27kip1 expression appears to be altered in some human tumors [18, 19].

The use of SSCA to identify p27kip1 SNPs may be a limitation of our study, because this technique apparently fails to identify approximately 20% of SNPs. Therefore, additional functionally relevant p27kip1 SNPs may exist. We also recognize that the number of cases analysed in our study is limited. This was mostly because we included only patients with angiographically diseased vessels, a strategy that was deemed important because p27kip1 has been involved in the control of neointimal thickening [8–12]. The possibility of false-positive results due to population stratification must be considered in association studies, but this is unlikely to occur in our study because we analysed individuals from a homogeneous white population. In addition, genotype frequencies were in the Hardy–Weinberg equilibrium in both groups, suggesting that the observed frequencies are representative of cases and controls.

Conclusions

Three polymorphisms of the human p27kip1 gene (-838C>A, -79C>T, and V109G) were analysed as candidates to modify the risk of suffering MI. We found a significantly higher frequency of the -838A carriers in MI patients compared to controls. Importantly, this polymorphism was associated with reduced basal p27kip1gene promoter activity. We suggest that reduced p27kip1 expression in -838A carriers may facilitate the proliferative response associated with atherosclerosis, thus increasing the risk of MI in these individuals.

Methods

Subjects

A total of 180 patients who had suffered an episode of MI were included in the present study. All patients were male, no more than 55 years of age, and had at least one angiographically diseased vessel (a vessel was considered diseased when the angiography showed a narrowing of at least 70% in the lumen diameter). These patients were recruited for a search of genetic factors involved in MI [20].

The control group consisted of 250 healthy males younger than 55 years (blood bank donors and Hospital Universitario Central de Asturias staff). Although control subjects did not have a history of cardiovascular disease, they were not angiographically analysed to exclude the presence of diseased vessels. Patients and controls were white and were all from the same region (Asturias, northern Spain, 1 million total population) and gave their informed consent to participate in the study, which was approved by the Ethical Committee of the Hospital Universitario Central de Asturias.

Identification and genotyping of SNPs within the human p27kip1gene

Genomic DNA was obtained from each individual included in the study. In the search for p27kip1 SNPs, we analysed 50 patients and 50 controls using SSCA. The entire p27kip1 coding sequence and 1500 nucleotides of the promoter region were amplified in overlapping fragments of 300–450 base pairs by PCR (Table 1 shows the sequences of the PCR primers; the sequence of the p27kip1 gene was obtained from http://ncbi.nlm.nih.gov, accession number NT009714). SSCA analysis was performed as previously described [21]. The DNA from samples showing atypical electrophoretic patterns was amplified, purified, and sequenced using an automated ABI310 system.

For genotyping of the three SNPs in patients and controls, genomic DNA was amplified by PCR to generate DNA fragments containing the SNP, and these fragments were digested with restriction enzymes that produced distinct patterns of digestion depending on the allele present (primers and restriction enzymes are listed in Table 2). The digested fragments were electrophoresed on 3% agarose gels, and the pattern corresponding to each individual was visualized after ethidium bromide staining of the gel.

Construction of p27kip1reporter vectors

DNA fragments from the 5' flanking region of the p27kip1gene between nucleotides – 1100 to -27, containing either C or A at -838, were generated through PCR of two CC and AA homozygous individuals with forward (TATGATGGTACCAGACGTTCGCTTTGGCTTC) and reverse (GCACGAAAGCTTCTCTCGCACTCTCAAAAA) primers containing KpnI and HindIII sites, respectively. The PCR products were cloned into the pGL3-Basic plasmid (Promega, Madison, WI, USA) to generate pGL3-p27kip1 C (-838C) and pGL3-p27kip1 A (-838A). For each genotype, two plasmids were generated and confirmed by direct sequencing.

Cell culture and luciferase reporter gene assays

Jurkat cells (American Type Culture Collection) were incubated at 37°C in a humidified 5% CO2–95% O2 atmosphere in RPMI medium supplemented with 100U/ml penicillin, 0.1 mg/ml streptomycin, 2 mmol/l L-glutamine, and 10% fetal calf serum. Transfections were performed with SuperFect Transfection Reagent following the manufacturer's protocol (Quiagen, Valencia, CA, USA). In a blinded manner, the promoter/luciferase reporter gene (2 μg) was cotransfected with 1 μg of pEGFP-N1 control vector. Three independent transfections were done for each of the four reporter genes (2 pGL3-p27kip1 C and 2 pGL3-p27kip1 A, a total of six transfections for each SNP). For luciferase activity assay, cells were collected by centrifugation, washed twice with PBS, and lysed with 100 μl of cell lysis reagent (Promega). Insoluble protein was removed by a 10-minute centrifugation at 15,000 g, and the supernatants were immediately assayed for luciferase activity and green fluorescence. Luciferase assays were performed using a Victor 4120 multilabel counter (Perkin Elmer, Boston, MA, USA) and the Promega luciferase assay kit. Cell extract (50 μl) and 100 μl of luciferin mixture were incubated for 5 s and light output was monitored for 5 s. For each sample, arbitrary light units from luciferase were normalized versus the measure of green fluorescence.

Statistical analysis

Allele and genotype frequencies in patients and controls were compared using a chi-square test. This test was also used to determine if the observed genotype frequencies in cases and controls differed from those expected under the Hardy–Weinberg equilibrium. Multivariate analysis was used to compare the genotype and allele frequencies between the groups according to the presence/absence of classical risk factors. Odds ratios (OR) with 95% confidence intervals (CI) were obtained to calculate the relative risk of MI associated with the genotypes. The results of transfections were analysed by two-tailed unpaired t-test. All statistical analyses were performed with the SPSS statistical package (v.11.0).

Declarations

Acknowledgements

PG was the recipient of a fellowship from the Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y Tecnológica (FICYT, BP 01-082). AD-J received salary support from Fondo Social Europeo (CSIC-Programa I3P). We thank MJ Andrés-Manzano for preparing the figures. This work was supported by grants from the Spanish Fondo de Investigaciones Sanitarias to EC (FIS 03/05) and from the Spanish Ministry of Science and Technology and Fondo Europeo de Desarrollo Regional to VAndrés (SAF2002-1443).

Authors’ Affiliations

(1)
Laboratorio de Genética Molecular, Instituto de Investigación Nefrológica (IRSIN-FRIAT), and Servicio de Cardiología, Hospital Universitario Central de Asturias (Maternidad), Oviedo, Spain
(2)
Laboratory of Vascular Biology, Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia-CSIC, Valencia, Spain
(3)
Servicio de Cardiología Hospital de Cabueñes, Gijón, Spain

References

  1. Dzau V, Braun-Dullaeus RC, Sedding DG: Vascular proliferation and atherosclerosis: new perspectives and therapeutic strategies. Nat Med. 2002, 8: 1249-1256. 10.1038/nm1102-1249.View ArticlePubMedGoogle Scholar
  2. Sherr CJ, Roberts JM: Inhibitors of mammalian G1 cyclin-dependent kinases. Genes Dev. 1995, 9: 1149-1163.View ArticlePubMedGoogle Scholar
  3. Díez-Juan A, Castro C, Edo MD, Andrés V: Role of the growth suppressor p27kip1 during vascular remodeling. Curr Vascular Pharmacol. 2003, 1: 99-106.View ArticleGoogle Scholar
  4. Nathe TJ, Deou J, Walsh B, Bourns B, Clowes AW, Daum G: Interleukin-1β inhibits expression of p21(WAF1/CIP1) and p27(KIP1) and enhances proliferation in response to platelet-derived growth factor-BB in smooth muscle cells. Arterioscl Thromb Vasc Biol. 2002, 22: 1293-1298. 10.1161/01.ATV.0000023428.69244.49.View ArticlePubMedGoogle Scholar
  5. Sedding DG, Seay U, Fink L, Heil M, Kummer W, Tillmanns H, Braun-Dullaeus RC: Mechanosensitive p27kip1 regulation and cell cycle entry in vascular smooth muscle cells. Circulation. 2003, 108: 616-622. 10.1161/01.CIR.0000079102.08464.E2.View ArticlePubMedGoogle Scholar
  6. Antonov AS, Munn DH, Kolodgie FD, Virmani R, Gerrity RG: Aortic endothelial cells regulate proliferation of human monocytes in vitro via a mechanism synergistic with macrophage colony-stimulating factor. J Clin Invest. 1997, 99: 2867-2876.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Mohapatra S, Agrawal D, Pledger WJ: p27kip1 regulates T cell proliferation. J Biol Chem. 2001, 276: 21976-21983. 10.1074/jbc.M009788200.View ArticlePubMedGoogle Scholar
  8. Tanner FC, Yang ZY, Duckers E, Gordon D, Nabel GJ, Nabel EG: Expression of cyclin-dependent kinase inhibitors in vascular disease. Circ Res. 1998, 82: 396-403.View ArticlePubMedGoogle Scholar
  9. Braun-Dullaeus RC, Ziegler A, Bohle RM, Bauer E, Hein S, Tillmanns H, Haberbosch W: Quantification of the cell-cyclin inhibitors p27kip1 and p21cip1 in human atherectomy specimens: primary stenosis versus restenosis. J Lab Clin Med. 2003, 141: 179-189. 10.1067/mlc.2003.23.View ArticlePubMedGoogle Scholar
  10. Ihling C, Technau K, Gross V, Schulte-Monting J, Zeiher AM, Schaefer HE: Concordant upregulation of type II-TGF-beta-receptor, the cyclin-dependent kinases inhibitor p27/Kip1 and cyclin E in human atherosclerotic tissue: implications for lesion cellularity. Atherosclerosis. 1999, 144: 7-14. 10.1016/S0021-9150(99)00032-5.View ArticlePubMedGoogle Scholar
  11. Díez-Juan A, Andrés V: The growth suppressor p27kip1 protects against diet-induced atherosclerosis. FASEB J. 2001, 15: 1989-1995. 10.1096/fj.01-0130com.View ArticlePubMedGoogle Scholar
  12. Díez-Juan A, Perez P, Aracil M, Sancho D, Bernad A, Sánchez-Madrid F, Andrés V: Selective inactivation of p27kip1 in hematopoietic progenitor cells increases neointimal macrophage proliferation and accelerates atherosclerosis. Blood. 2004, 103: 158-161. 10.1182/blood-2003-07-2319.View ArticlePubMedGoogle Scholar
  13. Kibel AS, Suarez BK, Belani J, Oh J, Webster R, Brophy-Ebbers M, Guo C, Catalona WJ, Picus J, Goodfellow PJ: CDKN1A and CDKN1B polymorphisms and risk of advanced prostate carcinoma. Cancer Res. 2003, 63: 2033-2036.PubMedGoogle Scholar
  14. Chen TC, Ng KF, Lien JM, Jeng LB, Chen MF, Hsieh LL: Mutational analysis of the p27(kip1) gene in hepatocellular carcinoma. Cancer Lett. 2000, 153: 169-173. 10.1016/S0304-3835(00)00366-9.View ArticlePubMedGoogle Scholar
  15. Takeuchi S, Koeffler HP, Hinton DR, Miyoshi I, Melmed S, Shimon I: Mutation and expression analysis of the cyclin-dependent kinase inhibitor gene p27/Kip1 in pituitary tumors. J Endocrinol. 1998, 157: 337-341.View ArticlePubMedGoogle Scholar
  16. Tomoda K, Kubota Y, Kato J: Degradation of the cyclin-dependent-kinase inhibitor p27kip1 is instigated by jab1. Nature. 1999, 398: 160-165. 10.1038/18230.View ArticlePubMedGoogle Scholar
  17. Millard SS, Vidal A, Markus M, Koff A: A U-rich element in the 5' untranslated region is necessary for the translation of p27 mRNA. Mol Cell Biol. 2000, 20: 5947-5959. 10.1128/MCB.20.16.5947-5959.2000.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Drexler HCA: The role of p27kip1 in proteasome inhibitor induced apoptosis. Cell Cycle. 2003, 2: 438-441.View ArticlePubMedGoogle Scholar
  19. Sgambato A, Cittadini A, Faraglia B, Weinstein IB: Multiple functions of p27Kip1 and its alterations in tumor cells: a review. J Cell Physiol. 2000, 183: 18-27. 10.1002/(SICI)1097-4652(200004)183:1<18::AID-JCP3>3.0.CO;2-S.View ArticlePubMedGoogle Scholar
  20. González P, Álvarez R, Batalla A, Reguero JR, Álvarez V, Astudillo A, Cubero GI, Cortina A, Coto E: Genetic variation at the chemokines receptors CCR5/CCR2 in myocardial infarction. Genes Immun. 2001, 2: 191-195. 10.1038/sj.gene.6363760.View ArticlePubMedGoogle Scholar
  21. García-Castro M, Reguero JR, Batalla A, Díaz-Molina B, González P, Álvarez V, Cortina A, Cubero GI, Coto E: Hypertrophic cardiomyopathy: low frequency of mutations in the beta myosin heavy chain (MYH7) and cardiac troponin T (TNNT2) genes among Spanish patients. Clin Chem. 2003, 49: 1279-1285. 10.1373/49.8.1279.View ArticlePubMedGoogle Scholar

Copyright

© González et al; licensee BioMed Central Ltd. 2004

This article is published under license to BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.

Advertisement

BMC Biology

ISSN: 1741-7007

Contact us