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Computational Analysis of Mutations in Neonatal Diabetes (KCNJ11) Gene Reveals no Relation with Microsatellites
Allam Appa Rao, Gunna Kishore*, Ravikanth Satapati, Susmitha Gogula
Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam-530003, India
*Corresponding author : Dr. Gunna Kishore,
Email: kishore_brbm@yahoo.co.in                                       
Received April 20, 2008; Accepted May 15, 2008; Published May 25, 2008
Citation: Allam AR, Gunna K, Ravikanth S, Susmitha G (2008) Computational Analysis of Mutations in Neonatal Diabetes (KCNJ11) Gene Reveals no Relation with Microsatellites. J Proteomics Bioinform S1: S046-S049. doi:10.4172/jpb.s1000008
 
Copyright: © 2008 Allam AR, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 
Abstract
Gain-of-function mutations in the genes encoding the ATP-sensitive potassium (K (ATP)) channel subunit Kir6.2 (KCNJ11) is a common cause of neonatal diabetes mellitus.(de Wet H 2007 et al). Neonatal diabetes was defined as hyperglycemia that requires insulin treatment and occurs during the first month of life ,it is also known as monogenic diabetes of infancy, which includes both the permanent and the transient types (Barbetti F. Endocr Dev. 2007) and the mutations in KCNJ11 gene causes Neonatal diabetes(Mlynarski W 2007 et al). We tried to find out whether the presence of micro satellite or simple sequence repeats in the KCNJ11 gene has any significance in the generation of these mutations and checked whether these mutations are fallen in the regions of those microsatillites and if so is there any significance of these microsatillites in the functional domains of the each gene. Our analysis reveled that all the microsatellites (National diabetes information clearinghouse) of the KCNJ11 does not contain any mutations and these mutations also does not fall in the functional domains of the KCNJ11 thus indicating that here there is no role of microsatellites in the mutations of KCNJ11 gene.

Keywords
Microsatellites; Bioinformatics; Neonatal Diabetes

Introduction
Neonatal diabetes mellitus is a rare form of Insulin dependent diabetes mellitus that present Within the first month of life, lasting at least two weeks and requiring insulin therapy. Intrauterine growth restriction, failure to thrive, fever, dehydration, hyperglycemia and acidosis with or without ketonuria are the clinical features of the disease. Monogenic forms of diabetes account for about 1 to 5 percent of all cases of diabetes in young people. In most cases of monogenic diabetes, the gene mutation is inherited; in the remaining cases the gene mutation develops spontaneously. Most mutations in monogenic diabetes reduce the body’s ability to produce insulin, a protein produced in the pancreas that helps the body use glucose for energy. Neonatal diabetes mellitus (NDM) and maturity-onset diabetes of the young (MODY) are the two main forms of monogenic diabetes. MODY is much more common than NDM. NDM first occurs in newborns and young infants; MODY usually first occurs in children or adolescents but may be mild and not detected until adulthood . Micro satellites are known to be highly polymorphic due to the high rate of mutations in their tracts (Fan H , Chu, J.Y 2007). These mutations can be either in the form of increase / decrease of repeat units or in the form of single nucleotide substitutions/ deletions/insertions and other events (Li, Y.C., Korol, A.B., Fahima, T. and Nevo, E. 2004) . Increase or decrease of repeat units of micro satellites in coding regions might lead to shift in reading frames there by causing changes in protein product (Martin P 2005)and in non-coding regions are known to effect the gene regulation(Sibly 2003 et al). Point mutations (Substitutions and Indels) are also found to occur at a higher rate in micro satellites than elsewhere (Stenson 2003 et al). Micro satellite mutations with in or near certain genes are known to be responsible for some human neurodegenerative diseases. So, we made a brief study to check whether the mutations in this KCNJ11 gene have any relation with these micro satellites repeats and the study revealed the following results.

Methods
All the 30 proved mutations except the mutations, which occur at codon numbers 12,23,34 and, 35 of the KCNJ11gene are falling inside the coding region and are eventually leading to phenotypic differences were collected from the Human Gene Mutation Database (HGMD)(Mudunuri S.B., Nagarajaram 2007). Micro satellites are obtained from the Imperfect Micro satellite Extractor (IMEX) (Letunic, I., 2004 et al )tool using intermediate mode with default values 10 for single 5 for di 3 tri 3 for tetra 2 for penta and 2 for hexa and obtained only 4 micro satellites in KCN1J1. Since micro satellites are drawn from the nucleotide sequence and HGMD mutations are given for protein sequence we have used DNA to Amino Acid translator. We compared the microsatellite regions with the mutations whether they have mutations in those regions and found that no mutations fall in the microsatellite regions. Now we analyzed whether these mutations have fallen in the functional domains of those genes by using Simple Modular Architecture Research Tool (SMART)( Endocr Dev 2007) and the results are as follows

Name of the domain Begin End
low complexity 25 34
Pfam:IRK 36 366
The microsatellites found in KCNJ11 gene



Consensus iterations from to Imperfection
CAC 3 639 648 10%
CAC 4 826 837 8%
ACCT 3 904 914 9%
GGCCAA 3 1125 1142 5%

And the mutations of KCNJ11 gene are

Accession number

Codon change

Amino acid change

Codon number

CM970815

TACG-TAA

Tyr-Term

12

CM981121

cGAG-AAG

Glu-Lys

23

CM050649

CGC-CAC

Arg-His

34

CM042726

cTTT-GTT

Phe-Val

35

CM051548

cTGC-CGC

Cys-Arg

42

CMO50280

CGG-CCG

Arg-Pro

50

CMO40760

CAG-CGG

Gln-Arg

52

CMO50650

gGGC-AGC

Gly-Ser

53

CMO50651

gGGC-CGC

Gly-Arg

53

CMO40762

cGTG-ATG

Val-Mat

59

CMO40761

GTG-GGG

Val-Gly

59

CMO24598

AAGt-AAC

Lys-Asn

67

CM994423

gTGG-CGG

Trp-Arg

91

CMO51091

GCC-GAC

Ala-Asp

101

CMO51092

GGG-GCG

Gly-Ala

134

CMO51093

CGC-CTC

Arg-Leu

136

CM960894

CTG-CCG

Leu-Pro

147

CMO50281

AAG-AGG

Lys-Arg

170

CMO50282

AAGa-AAC

Lys-Asn

170

CMO50652

cATC-GTC

Arg-Cys

182

CMO40763

aCGT-TGT

Arg-Cys

201

CMO40764

CGT-CAT

Arg-His

201

CMO43296

CCG-CTG

Pro-Leu

254

CMO53288

CAT-CGT

His-Arg

259

CMO51094

CCA-CTA

Pro-Leu

266

CMO40765

cATC-CTC

lle-eu

296

Cmo51095

CGC-CAC

Arg-His

301

CMO42727

gGAG-AAG

Glu-Lys

322

CMO42728

TAC-TGC

Tyr-Cys

330

CMO42729

gTTT-ATT

Phe-lle

333

Table 1: List of Mutations HGMDMaterials.

Results and Discussion
The mutations in the KCNJ11 are causing the neonatal diabetes mellitus. These mutations result in reduced ATP sensitivity of the KATP channels compared with the wild types. The level of channel activity defect is responsible for different clinical features: the ‘mild’ form confers isolated permanent neonatal diabetes whereas the severe form combines diabetes and neurological symptoms such as epilepsy, developmental delay, muscle weakness and mild dysmorphic features.so to check whether is there any relationship is there between the microsatellites and the mutations. we analyzed and found that there are no mutations in the microsatellite regions and therefore can say that the microsatellites are not responsible for mutations in the KCNJ11 gene.
 
Acknowledgement
This work was supported by IIT up gradation grants of AUCE (A).

References
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