Printer Friendly

Clusters of CDK2, CCND1, and CMYC genes involved in cancers: acute lymphocytic leukemia (ALL) as a modelq.


Acute Lymphoblastic Leukemia (ALL) is one of the most frequent types of cancer that afflicts children. It is characterized by accumulation of immature lymphocyte progenitor cells in the bone marrow. Although current long term survival rate in children is above 80%, this disease is not completely curable with the available treatment strategies (Crazzolara and Bendall 2009). A better understanding of the underlying mechanisms behind ALL requires information about the changes that occur during cell cycle and the genes that are involved in the process. Our earlier studies on leukemia in children determined the role of susceptibility biomarkers and risk factors (Reddy et al. 2006; Reddy and Jamil 2006; Jamil and Reddy 2007), further we also determined the SNP changes in drug metabolizing genes like GSTs and FLT3 which relate to drug-gene interactions (Reddy et al. 2006, Kumar et al. 2011), the signaling pathways and biomarkers of hematological malignancies were also determined (Mani et al. 2006, 2007). Cell division in organisms is regulated by a family of cyclin dependent kinases (CDKs), which consist of a subunit of CDK and an activating cyclin subunit. These CDK complexes phosphorylate several substrates such as the Retinoblastoma family of proteins, which are negative regulators of cell cycle. The inactivation of these CDKs is also part of the typical cell cycle process. The inhibitors of CDK such as p16Ink4a, p15Ink4b, p27Kip1, and p21Cip1 negatively regulate CDK activities (D'Andrilli et al. 2004). The cell cycle process is regulated by the tumor suppressor gene, p53. Several other genes and proteins are also involved in the normal cell cycle process. Several studies have been carried out to determine the changes in the cell cycle that lead to leukemogenesis. Homozygous inactivation of p16 INK4 gene has been reported in childhood ALL by several researchers (Okuda et al. 1995; Lemos et al. 2003). Aberrant p15 promoter methylation (Batova et al. 1997) and deletion of p15 (Okuda et al. 1995) have been reported in several cases of childhood ALL. A study based on a population of Chinese children has implicated polymorphism of cyclin D1 (CCND1) in relation to occurrence of ALL (Hou et al. 2005). Several studies have reported deletion of p27/Kip1 gene in childhood ALL (Markaki et al. 2006; Takeuchi et al. 2006). CDK2 catalytic activity was reported in a sample of childhood ALL samples using in vitro kinase assays (Schmitz et al. 2005). Studies on Notch-1 regulatory mechanisms have suggested that c-Myc deregulation may be part of the early events in T-cell leukemogenesis (Palomero et al. 2006; Weng et al. 2006). Overexpression of MDM2 has been reported in 15-25% of ALL patients at the time of diagnosis (Hendy et al. 2009). Tumor suppressor gene, Tp53, mutations have been reported in some children with ALL, though it is more frequently associated with relapse patients (Kawamura et al. 1995).

In the present study, sequences of selected genes involved in the cell cycle pathway were selected to infer phylogeny as well as to determine their homology across various species in the animal kingdom to better understand how these genes contribute to leukemogenesis. Although the same cell cycle genes exist in various organisms across the animal kingdom, but they function differently in different organisms, while in humans when these genes develop mutations leukemogenesis occurs. A study of this nature might help in better understanding leukemogenic pathway in humans.

Materials and Methods

(a) Search for cell cycle genes in ALL

Literature databases were queried to devise a list of genes which are involved in cell cycle and have been reported in association with ALL (Table 1). Further information about each of the genes in the list was obtained by querying GeneCards database version 3 (Safran et al. 2010) (
Table 1: Cell cycle genes associated with Acute Lymphoblastic
S.No.  Gene Name      Function                Reference
1      p53            regulates target genes  Wojcik et al.
                      that induce cell cycle  2005
2      p16 INK 4A     Capable of inducing     Lemos et al.
       (CDKN2A)       cell cycle arrest in    2003
                      G1 and G2 phases.
3      p15 (CDKN2B)   Encodes a protein that  Iravani et al.
                      functions as a cell     1997
                      growth regulator that
                      controls cell cycle G1
4      Cyclin D1      Essential for the       Hou et al. 2005;
       (CCND1)        control of the cell     Aref et al.
                      cycle at the G1/S       2006
                      (start) transition
5      c-MYB          play a critical role    Clappier et al.
                      in regulating the       2007
                      G(1)/S cell cycle
6      CDK2           involved in the         Schmitz et al.
                      control of the cell     2005
7      CDKN 1B (p27,  Important regulator of  Markaki et al.
       Kip1)          cell cycle              2006
8      CDK6           Probably involved in    Chilosi et al.
                      the control of the      1998
                      cell cycle
9      CDKN 1A (p21,  functions as a          Roman-Gomez et
       Cip1)          regulator of cell       al. 2002
                      cycle progression at
10     CCND2          Essential for the       Clappier et al.
                      control of the cell     2006
                      cycle at the G1/S
                      (start) transition
11     ABL1           Regulates cytoskeleton  Chiaretti et al.
                      remodeling during cell  2007
                      differentiation, cell
                      division and cell
12     CCND3          Essential for the       Sicinska et al.
                      control of the cell     2003
                      cycle at the G1/S
                      (start) transition.
13     CDKN 1C (p57,  Negative regulator of   Gutierrez et al.
       Kip2)          cell proliferation.     2005
                      May play a role in
                      maintenance of the
                      state throughout life
14     c-MYC          plays a role in cell    Weng et al.
                      cycle progression,      2006
                      apoptosis and cellular
15     Rb1            key regulator of entry  Schmitz et al.
                      into cell division      2005; Tsai et
                      that acts as a tumor    al. 1996
16     MDM2           affects the cell        Hendy et al.
                      cycle, apoptosis, and   2009; Zhou et
                      tumorigenesis through   al. 2003
                      interactions with
                      other proteins
17     ATM            important cell cycle    Gumy et al.
                      checkpoint kinase       2003
S.No.  GeneCards ID
1       GC17M007565
2       GC09M021957
3       GC09M021992
4       GC11P069455
5       GC06P135544
6       GC12P056360
7       GC12P012768
8       GC07M092234
9       GC06P036645
10      GC12P004382
11      GC09P133589
12      GC06M041949
13      GC11M002861
14      GC08P128748
15      GC13P048877
16      GC12P069201
17      GC11P108127

(b) DNA sequence data and sequence alignment

Three genes were selected for the study from the list of cell cycle genes. NCBI GenBank database (Benson et al. 2011) (at was queried to retrieve all available nucleotide sequences, across various species, of the mRNA transcript of the genes. These sequences were saved as fasta file and were used for further analysis. The sequences were first imported into the alignment explorer of MEGA version 4 software (Tamura et al. 2007). An initial multiple sequence alignment was carried out using the Clustal W (Thompson et al. 1994) algorithm. The aligned sequences were further manually edited and again aligned using Clustal W with default parameters for Gap Opening, Gap Extension Penalty and DNA weight matrix to obtain optimal global sequence alignment. This multiple sequence alignment file was then used to infer phylogeny.

(c) Phylogenetic tree construction

Phylogeny was reconstructed using MEGA version 4.0. The distance based Neighbour-Joining (Saitou and Nei 1987) method was chosen for phylogeny reconstruction of the sequences. Kimura 2-parameter (Kimura 1980) distance model, which assumes uniform rate of substitution among sites, was selected as the nucleotide substitution model. To further increase the reliability of the phylogenetic tree obtained, 1000 Bootstrap replications were performed.

(d) Functional divergence

Functional divergence is useful in identifying sites/residues that are subjected to functional constraints during evolution. In this study, functional divergence between the various species for each gene was calculated using Diverge 1.04 software (Gu and Velden 1999). Sequences of the corresponding proteins encoded by the genes were aligned using Clustal W in MEGA software using default parameters and this alignment was used as input for the software. Using this input, the software was used to build a Kimura 2 parameter tree to delineate clusters. These clusters were then used to estimate statistical parameters such as site specific profile, which is useful to predict the amino acid residues which are vital for functional divergence. Residues estimated to have a functional divergence value greater than 0.1 were highlighted in the sequence alignment.


(i) Phylogenetic analysis

From the genes listed in Table 1 we selected three genes CDK2 (606 bp), CCND1 (526 bp) and c-MYC (509 bp) genes and determined their phylogeny after multiple sequence alignment.


From Genbank database we obtained sequences of seventeen species, which were used in the construction of phylogenetic unrooted tree for CDK2 (Figure 1), which could be grouped in five clusters, one cluster with humans and other Mammals, an isolated cluster of Red Jungle Fowl, one cluster with different species of Fish, a cluster of Amphibians, a final cluster consisting of other organisms. Information about the gene was obtained from GeneCards database (GCid: GC12P056360).



Analyzing the phylogenetic tree constructed using sequences of cyclin D1 from thirteen species revealed four clusters-a cluster consisting of humans and few other Mammals, an isolated cluster of Red Jungle Fowl, a cluster with two species of Amphibians and a cluster of Fish (Figure 2). Information about the gene was accessed from GeneCards database by querying with GCid: GC11P069455.



Sequences from seventeen species were used to infer phylogeny resulting in five clusters, a cluster of ten Mammalian species, a single isolated cluster of Red Jungle Fowl, a single cluster of Amphibians, a cluster consisting of Fish and a cluster with a species of hemichordate and Atlantic salmon (Figure 3). Information about the gene was accessed from GeneCards database (GCid: GC08P128748).

(ii) Functional divergence

We used Diverge 1.04 to calculate the functional divergence of CDK2, CCND1 and c-MYC genes. In our analysis, CDK2 and CCND1 genes showed no significant functional divergence. This result could probably indicate that these two genes are highly conserved, especially in Mammalian species.For the functional divergence analysis, the c-MYC gene was designated into two clusters-the first cluster is composed of species other than Mammals and the second cluster contained all the Mammalian species. The coefficient of functional divergence between these two clusters was 0.41. We found 317 residues to have a posterior probability greater than 0.1.These residues showed a higher degree of variability in species belonging to cluster one than cluster two (Figure 4).


Loss of cell cycle regulation through changes in cell cycle gene in the bone marrow is a common cause for the progress of tumorigenesis process. ALL is a serious pediatric malignancy, exhibiting both normal and proliferative controls and blocking differentiation into functional cells. In ALL mostly cells reside in the G-1 phase, and only a few cells proceed to the next G0 phase. In normal cells during cell cycle progression early G1 cells respond to environmental stimuli inducing differentiation. However, in disease condition the cells do not respond or do not recognize the signals and no longer respond to differentiation process. It has been reported that cyclin dependent kinase CDK2 was active in ALL and contributed to the disease condition. The catalytic activity of CDK2 was reported to increase in childhood leukemia (Schmitz et al. 2005). Further it was suggested by these authors that CDK2 contributed to the functional inactivation of Retinoblastoma gene (Rb). In


Cyclin D1 is an important cell cycle regulatory protein, which is involved in the transition of cell cycle from G1 phase to S phase during the process of cell division. Change in cell cycle kinetics and acceleration of G1 phase, which might lead to abnormal cell proliferation, has been associated with overexpression of this protein (Pabalan et al. 2008). During early G1 phase, Cyclin D1 binds to and activates CDK4 and CDK6 kinases, which leads to phosphorylation of Retinoblastoma protein, thus contributing to its inactivation. Studies have reported overexpression of cyclin D1 in patients with ALL and have suggested that cyclin D1 may play a role in mobilization of blast cell from the Bone Marrow to lymph nodes (Aref et al. 2006). These reports indicate that CCND1 could serve as a prognostic marker in the detection of ALL and hence needs to be investigated in more detail to elicit information regarding its role in tumorigenesis. The c-Myc proto-oncogene encodes a transcription factor that is essential for cell growth and proliferation. It has also been reported in the control of DNA replication. It dimerizes with a protein called Max, to bind Enhancer Box sequences (E-boxes) and recruits view of the above findings it was important to determine the role of CDK2. histone acetyltransferases for regulation of gene expression. The c-Myc proto-oncogene is involved in transformation and cell proliferation partly through activation of cyclin D2 promoter and also induces programmed cell death which is mediated by nuclear respiratory factor 1 (NRF-1) and the Arf-p53 pathway (Luo et al.. 2005). In normal cells, c-MYC regulation is induced and regulated by mitogenic stimulation. In the absence of this induction, the cells revert back to the non-proliferative state. Studies suggest that in cancer cells, there is an absence of stringency in regulation attributed to mutations in the regulation of Myc genes and the persistent induction of Myc expression through oncogenic signals that lie upstream such as Wnt/[beta]-catenin, Notch or RTK/Ras pathways (Sodir and Evan 2009). Translocations t(8;14), t(8;22), and t(2;8) involving MYC deregulation have been reported in 2%-5% of childhood ALL along with reports of aberrant c-Myc stability in cell lines and bone marrow samples in pediatric patients. Studies have reported that MYC is a direct transcriptional target of oncogenic Notch1, which is common in T-ALL. These studies indicate the need to delve further into the exact correlation between c-MYC and leukemogenesis (Delgado and Leon 2010).


Phylogenetic studies play an essential role in understanding evolutionary history of genes and their impact on disease etiology. Several studies have calculated the functional divergence of genes based on phylogenetic reconstruction across various species and further implicate those sites which are subjected to functional constraints during evolution (Khan and Jamil 2008; Khan and Jamil 2010). Further, this information could be used to observe drug-gene interactions with the help of homology modeling and affinity modeling studies (Kotra et al. 2008). Our earlier studies on phylogeny of p53 and MDM2 revealed that these genes show a high degree of sequence similarity in Mammals, suggesting parallel carcinogenesis pathways involving these genes in the Mammalian species (Jayaraman et al. 2011).

Studies based on evidence from paleontology and genetics suggest that mechanisms of cancer are embedded deeply throughout evolution. Understanding the phylogenetic evolution of these genes could help in furthering our knowledge on the mechanisms involved in cancer (Davies and Lineweaver 2011).

In the present study, we applied bioinformatics approaches to mine databases to garner information regarding the CDK2, CCND1 and c-MYC cell cycle genes and their role in ALL. We inferred phylogeny of these genes across various species, for which sequence information is available in the databases. Analysis of the sequence alignments indicates that throughout the mammalian species, these genes are mostly similar/exhibit sequence homology and thus group under a single cluster. Though the avian species, the amphibians and the some species of fish tend to form three separate clusters due to the variation in their sequences, there appears to be a moderate degree of sequence similarity with those of mammalian species.

In our study of the phylogenetic analysis and tree constructed using sequences of these three genes, we observed that these gene sequences are more or less similar across these few taxa, this might indicate the presence of cancer like disease genes in the evolutionary history of these species.

In the future, when the sequence information for these genes across a wide range of taxa becomes available, a more intensive phylogenetic analysis would be possible which could help in delving further into the changes and the mechanisms of change through which these genes contribute to the evolution of leukemogenesis process and also assist in designing effective therapeutic measures.

Correlation between CDK2, CCND1, c-MYC CDK2, cyclin D1 and c-MYC genes are important components in the cell cycle pathway. Alterations in these genes have been reported in association with malignant transformations. Studies have reported that c-MYC gene might be involved stimulating the activity of cyclin E/CDK2 complex. The phosphorylation of MYC by CDK2 is helpful in suppression of senescence (Hydbring and Larsson 2010). c-MYC gene has also been reported to regulate the expression of cyclin D1 at an early stage of the cell cycle process. Cyclin D1-CDK2 complex might indirectly promote cell proliferation by sequestering p21 and p27 genes this complex has been detected previously in breast cancer cell lines and was reported to exhibit several features of transformation (Chytil et al. 2004). These studies indicated that the three genes functionally interact with each other and play a role in direct/indirect regulation of the other genes. It is essential to better understand the association between these genes because their interaction might be a significant aspect in the tumorigenesis process.

Conflict of Interests

Authors have no conflicting interests.


We are grateful to Jawaharlal Nehru Institute of Advanced Studies (JNIAS) for the facilities provided.


Aref S, Mabed M, El-Sherbiny M, Selim T, Metwaly A, 2006. Cyclin D1 expression in acute leukemia. Hematology, 11(1): 31-34.

Batova A, Diccianni MB, Yu JC, Nobori T, Link MP, Pullen J, et al., 1997. Frequent and selective methylation of p15 and deletion of both p15 and p16 in T-cell acute lymphoblastic leukemia. Cancer Research, 57(5):832-836.

Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW, 2011. GenBank. Nucleic Acids Research, 39(Database Issue): D32-37.

Chiaretti S, Tavolaro S, Ghia EM, Ariola C, Matteucci C, Elia L, et al., 2007. Characterization of ABL1 expression in adult T-cell acute lymphoblastic leukemia by oligonucleotide array analysis. Haematologica, 92(5):619-626.

Chilosi M, Doglioni C, Yan Z, Lestani M, Menestrina F, Sorio C, et al., 1998. Differential expression of cyclin-dependent kinase 6 in cortical thymocytes and

T-cell lymphoblastic lymphoma/leukemia. The American Journal of Pathology, 152(1):209-217.

Chytil A, Waltner-Law M, West R, Friedman D, Aakre M, Barker D, et al., 2004. Construction of a cyclin D1-Cdk2 fusion protein to model the biological functions of cyclin D1-Cdk2 complexes. Journal of Biological Chemistry, 279(46):47688-98.

Kalyan CH, Jamil K, Raju GS, 2011. Predicting drug-target interaction in cancers using homology modeled structures of MTHFR gene. Biology and Medicine, 3 (3): 70-81.

Clappier E, Cuccuini W, Cayuela JM, Vecchione D, Baruchel A, Dombret H, et al., 2006. Cyclin D2 dysregulation by chromosomal translocations to TCR loci in T-cell acute lymphoblastic leukemias. Leukemia, 20(1):82-6.

Clappier E, Cuccuini W, Kalota A, Crinquette A, Cayuela JM, Dik WA, et al., 2007. The C-MYB locus is involved in chromosomal translocation and genomic duplications in human T-cell acute leukemia (T-ALL), the translocation defining a new T-ALL subtype in very young children. Blood, 110(4):1251-61.

Crazzolara R, Bendall L, 2009. Emerging treatments in Acute Lymphoblastic Leukemia. Current Cancer Drug Targets, 9:19-31.

D'Andrilli G, Kumar C, Scambia G, Giordano A, 2004. Cell cycle genes in ovarian cancer: steps toward earlier diagnosis and novel therapies. Clinical Cancer Research, 10(24):8132-8141.

Davies PCW, Lineweaver CH, 2011. Cancer tumors as Metazoa 1.0: tapping genes of ancient ancestors. Physical Biology, 8(1):015001.

Delgado MD, Leon J, 2010. Mycroles in hematopoiesis and leukemia. Genes & Cancer, 1: 605.

Gu X, Vander Velden K, 1999. Diverge: a phylogeny based analysis for functional-structural divergence of a protein family. Molecular Biology and Evolution, 16: 1664-1674.

Gumy Pause F, Wacker P, Maillet P, Betts D, Sappino AP, 2003. ATM gene alterations in childhood acute lymphoblastic leukemias. Human Mutation, 21(5): 554.

Gutierrez MI, Siraj AK, Ibrahim MM, Hussain A, Bhatia K, 2005. Childhood and adult ALL: differences in epigenetic lesions associated with cell cycle genes. American Journal of Hematology, 80(2):158-60.

Hendy OM, Elghannam DM, El -Sharnouby JA, Goda EF, El-Ashry R, Al-Tonbary Y, 2009. Frequency and prognostic significance of murine double minute

protein-2 overexpression and p53 gene mutations in childhood acute lymphoblastic leukemia. Hematology, 14(6):335-340.

Hou X, Wang S, Zhou Y, Xu Z, Zou Y, Zhu X, et al., 2005. Cyclin D1 gene polymorphism and susceptibility to childhood acute lymphoblastic leukemia in a Chinese population. International Journal of Hematology, 82(3):206-209.

Hydbring P, Larsson LG, 2010. Cdk2: a key regulator of the senescence control function of Myc. Aging, 2(4):244-250.

Iravani M, Dhat R, Price CM, 1997. Methylation of the multi tumor suppressor gene-2 (MTS2, CDKN1, p15INK4B) in childhood acute lymphoblastic leukemia. Oncogene, 15(21): 2609-2614.

Jamil K, Reddy H, 2007. Can polymorphisms in genes relate to overall survival in leukemias? Leukemia and Lymphoma, 48(6): 1070-1071.

Jayaraman A, Jamil K, Raju S, 2011. The interaction of p53 and MDM2 genes in cancers, in silico studies and phylogenetic analysis. Biology and Medicine, 3(3):01-12.

Kawamura M, Kikuchi A, Kobayashi S, Hanada R, Yamamoto K, Horibe K, et al., 1995. Mutations of the p53 and ras genes in childhood t(1;19)-acute lymphoblastic leukemia. Blood, 85(9):2546-2552.

Khan M, Jamil K, 2010. Phylogeny reconstruction of ubiquitin conjugating (E2) enzymes. Biology and Medicine, 2(2):10-19.

Khan M, Jamil K, 2008. Study on the conserved and polymorphic sites of MTHFR using bioinformatic approaches. Trends in Bioinformatics, 1(1):7-17.

Kimura M, 1980. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. Journal of Molecular Evolution, 16: 111-120.

Kotra S, Madala K, Jamil K, 2008. Homology models of the mutated EGFR and their response towards quinazolin analogues. Journal of Molecular Graphics and Modeling, 27:244-254.

Lemos JA, Defavery R, Scrideli CA, Tone LG, 2003. Analysis of p16 gene mutations and deletions in childhood acute lymphoblastic leukemias. Sao Paulo Medical Journal, 121(2):58-62.

Luo H, Li Q, O'Neal J, Kreisel F, Le Beau MM, Tomasson MH, 2005. c-Myc rapidly induces acute myeloid leukemia in mice without evidence of lymphoma-associated anti-apoptotic mutations. Blood, 106(7):2452-61.

Mani R, Murthy SS, Jamil K, 2006. Role of serum lactate dehydrogenase as a bio-marker in therapy related hematological malignancies. International Journal of Cancer Research, 2(4):383-389.

Mani R, Jamil K, Vamsy M, 2007. Specificity of serum tumor markers (CA125, CEA, AFP, Beta HCG) in ovarian malignancies. Trends in Medical Research, 2(3):128-134.

Markaki EA, Stiakaki E, Zafiropoulos A, Arvanitis DA, Katzilakis N, Dimitriou H, et al., 2006. Mutational analysis of the cell cycle inhibitor Kip1/p27 in childhood leukemia. Pediatric Blood & Cancer, 47(1):14-21.

Okuda T, Shurtleff SA, Valentine MB, Raimondi SC,

Head DR, Behm F, et al., 1995. Frequent deletion of [p16.sup.INK4A,MTS1] and [p15.sup.INK4B,MTS2] in pediatric acute

lymphoblastic leukemia. Blood, 85(9):2321-2330.

Pabalan N, Bapat B, Sung L, Jarjanazi H, Francisco-Pabalan O, Ozcelik H, 2008. Cyclin D1 Pro241Pro (CCND1-G870A) polymorphism is associated with increased cancer risk in human populations: a meta-analysis. Cancer Epidemiology, Biomarkers & Prevention, 17(10):2773-2781.

Palomero T, Lim WK, Odom DT, Sulis ML, Real PJ, Margolin A, et al., 2006. NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth. Proceedings of the National Academy of Sciences USA, 103(48):18261-18266.

Reddy H, Jamil K, 2006a. Polymorphism in the GST (M1 and T1) gene and their possible association with susceptibility to childhood acute lymphocytic leukemia (ALL) in the Indian population. African Journal of Biotechnology, 5(16):1454-1456.

Reddy H, Murthy S, Jamil K, 2006. Association of FLT3-ITD (Internal Tandem Duplication) polymorphism in the childhood acute lymphocytic leukemia. Recent Advances in Biotechnology, 92-198.

Reddy H, Jamil K, 2006. Polymorphisms in the MTHFR gene and their possible association with susceptibility to childhood acute lymphocytic leukemia (ALL) in Indian population. Leukemia & Lymphoma, 47(7):1333-1339.

Roman-Gomez J, Castillejo JA, Jimenez A, Gonzalez MG, Moreno F, Rodriguez M del C, et al., 2002. 5' CpG island hypermethylation is associated with transcriptional silencing of the p21 (CIP1/WAF1/SDI1) gene and confers poor prognosis in acute lymphoblastic leukemia. Blood, 99(7):2291-2296.

Safran M, Dalah I, Alexander J, Rosen N, Iny Stein T, Shmoish M, et al., 2010. GeneCards Version 3: the

human gene integrator. Database (Oxford), 2010:baq020.

Saitou N, Nei M, 1987. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Molecular Biology and Evolution, 4(4):406-425.

Schmitz NM, Leibundgut K, Hirt A, 2005. CDK2 catalytic activity and loss of nuclear tethering of retinoblastoma protein in childhood acute lymphoblastic leukemia. Leukemia, 19(10):1783-1787.

Sicinska E, Aifantis I, Le Cam L, Swat W, Borowski C, Yu Q, et al., 2003. Requirement for cyclin D3 in lymphocyte development and T cell leukemias. Cancer Cell, 4(6):451-461.

Sodir NM, Evan GI, 2009. Nursing some sense out of Myc. Journal of Biology, 8:77.

Takeuchi C, Takeuchi S, Ikezoe T, Bartram CR, Taguchi H, Koeffler HP, 2002. Germline mutation of the p27/Kip1 gene in childhood acute lymphoblastic leukemia. Leukemia, 16(5):956-958.

Tamura K, Dudley J, Nei M, Kumar S, 2007. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Molecular Biology & Evolution, 24(8):1596-1599.

Thompson JD, Higgins DG, Gibson TJ, 1994. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research, 22(22):4673-4680.

Tsai T, Davalath S, Rankin C, Radich JP, Head D, Appelbaum FR, et al., 1996. Tumor suppressor gene alteration in adult acute lymphoblastic leukemia (ALL). Analysis of retinoblastoma (Rb) and p53 gene expression in lymphoblasts of patients with de novo, relapsed, or refractory ALL treated in Southwest Oncology Group studies. Leukemia, 10(12):1901-11.

Weng AP, Millholland JM, Yashiro-Ohtani Y, Arcangeli ML, Lau A, et al., 2006. c-Myc is an important direct target of Notch1 in T-cell acute lymphoblastic leukemia/lymphoma. Genes & Development, 20(15):2096-2109.

Wojcik I, Szybka M, Golanska E, Rieske P, Blonski JZ, Robak T, et al., 2005. Abnormalities of the P53, MDM2, BCL2 and BAX genes in acute leukemias. Neoplasma, 52(4):318-324.

Zhou M, Gu L, Findley HW, Jiang R, Woods WG, 2003. PTEN reverses MDM2 -mediated chemotherapy resistance by interacting with p53 in acute lymphoblastic leukemia cells. Cancer Research, 63(19):6357-6362.

A Jayaraman, K Jamil*

Centre for Biotechnology and Bioinformatics, School of Life Sciences, Jawaharlal Nehru Institute of Advanced Studies, 6th Floor, Budha Bhawan, Secunderabad, AP, India.

*Corresponding Author:
Table 2: Sequence details of CDK2.
S.No.  Organism                 Common Name             R
                                Cluster 1
1      Homo sapiens             Human              X62071
2      Bostaurus                Cattle           BT020790
3      Cricetulusgriseus        Chinese          AJ223949
4      Rattusnorvegicus         Norway Rat      NM_199501
5      Musmusculus              House Mouse     NM_183417
6      Ovisaries                Sheep        NM_001142509
7      Mesocricetusauratus      Golden             D17350
8      Capra hircus             Goat             EF035041
                                Cluster 2
9      Gallus gallus            Red Jungle   NM_001199857
                                Cluster 3
10     Xenopuslaevis            African      NM_001090651
                                Clawed Frog
11     Xenopus (Silurana)       Western      NM_001008135
       tropicalis               Clawed Frog
                                Cluster 4
12     Daniorerio               Zebrafish       NM_213406
13     Salmosalar               Atlantic     NM_001141734
                                Cluster 5
14     Sphaerechinusgranularis  Purple Sea       AJ224917
15     Patiriapectinifera       Starfish         AB481376
16     Nasoniavitripennis       Jewel Wasp   NM_001161462
17     Paramecium tetraurelia   Paramecium       AF126147
S.No.     Accession
1          CAA43985
2          AAX08807
3          CAA11680
4         NP_955795
5         NP_904326
6      NP_001135981
7          BAA04165
8          ABK34941
9      NP_001186786
10     NP_001084120
11     NP_001008136
12        NP_998571
13     NP_001135206
14         CAA12223
15         BAH97197
16     NP_001154934
17         AAD34354

Table 3: Sequence details of CCND1.
S.No.  Organism            Common Name      Accession Number
                           Cluster 1
1      Homo sapiens        Human                   NM 053056
2      Musmusculus         House Mouse                S78355
3      Rattusnorvegicus    Norway Rat                 X75207
4      Cricetulusgriseus   Chinese Hamster          EF524275
5      Pongoabelii         Sumatran             NM_001131301
6      Bostaurus           Cattle                   BC112798
7      Rattusrattus        Black Rat                  D14014
8      Canis lupus         Dog                  NM_001005757
                           Cluster 2
9      Gallus gallus       Red Jungle Fowl            U40844
                           Cluster 3
10     Xenopuslaevis       African Clawed             X89475
11     Xenopus (Silurana)  Western Clawed       NM_001005452
       tropicalis          Frog
                           Cluster 4
12     Daniorerio          Zebrafish                AF365874
13     Salmosalar          Atlantic Salmon      NM_001165391
S.No.  Accession Number
1             NP 444284
2              AAB34495
3              CAA53020
4              ABP73256
5          NP_001124773
6              AAI12799
7              BAA03115
8          NP_001005757
9              AAA83271
10             CAA61664
11         NP_001005452
12             AAM00355
13         NP_001158863

Table 4: Sequence details of cMYC.
S.No.  Organism                 Common Name               Accession
                                Cluster 1
1      Homo sapiens             Human                        V00568
2      Canis lupus familiaris   Dog                          X95367
3      Ovisaries                Sheep                        Z68501
4      Musmusculus              House Mouse               NM_010849
5      Rattusnorvegicus         Norway Rat                NM_012603
6      Feliscatus               Domestic Cat           NM_001173446
7      Susscrofa                Pig                        FJ882404
8      Macacamulatta            Rhesus Monkey          NM_001142873
9      Bostaurus                Cattle                 NM_001046074
10     Pan troglodytes          Chimpanzee             NM_001142794
                                Cluster 2
11     Gallus gallus            Red Jungle Fowl        NM_001030952
                                Cluster 3
12     Xenopuslaevis            African Clawed               X14806
                                Cluster 4
13     Takifugurubripes         Tiger Puffer               AB236413
14     Oncorhynchusmykiss       Rainbow Trout              AJ627208
15     Ictaluruspunctatus       Channel Catfish            AF283994
                                Cluster 5
16     Saccoglossuskowalevskii  Acorn Worm             NM_001164972
17     Salmosalar               Atlantic Salmon        NM_001173816
S.No.  Accession Number
1              CAA23831
2              CAA64654
3              CAA92814
4             NP_034979
5             NP_036735
6          NP_001166917
7              ACQ76904
8          NP_001136345
9          NP_001039539
10         NP_001136266
11         NP_001026123
12             CAA32911
13             BAE45315
14             CAF25507
15             AF283994
16         NP_001158444
17         NP_001167287
COPYRIGHT 2012 HATASO Enterprises, LLC
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2012 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Research Article
Publication:Biology and Medicine
Article Type:Report
Geographic Code:9INDI
Date:Jan 1, 2012
Previous Article:Diagnosis of pulmonary tuberculosis by smear microscopy and culture in a tertiary health care facility.
Next Article:Bioremediation technology: a new horizon for environmental clean-up.

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |