Comparative study and prediction of DNA fragments associated with various elements of the nuclear matrix

被引:28
作者
Glazko, GV [1 ]
Rogozin, IB
Glazkov, MV
机构
[1] Inst Cytol & Genet, Novosibirsk 630090, Russia
[2] Penn State Univ, Inst Mol Evolut Genet, Mueller Lab 311, University Pk, PA 16802 USA
[3] Penn State Univ, Dept Biol, Mueller Lab 311, University Pk, PA 16802 USA
[4] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA
[5] Inst Gen Genet, Moscow 117809, Russia
来源
BIOCHIMICA ET BIOPHYSICA ACTA-GENE STRUCTURE AND EXPRESSION | 2001年 / 1517卷 / 03期
关键词
nuclear matrix; scaffold/matrix-associated region; computer-based prediction; nucleotide motifs; discriminant analysis; satellite DNA;
D O I
10.1016/S0167-4781(00)00297-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Scaffold/matrix-associated region (S/MAR) sequences are DNA regions that are attached to the nuclear matrix, and participate in many cellular processes. The nuclear matrix is a complex structure consisting of various elements. In this paper we compared frequencies of simple nucleotide motifs in S/MAR sequences and in sequences extracted directly from various nuclear matrix elements, such as nuclear lamina, cores of rosette-like structures, synaptonemal complex, Multivariate linear discriminant analysis revealed significant differences between these sequences. Based on this result we have developed a program, ChrClass (Win/NT version, ftp.bionet.nsc.ru/pub/biology/chrclass/ chrclass.zip), for the prediction of the regions associated with various elements of the nuclear matrix in a query sequence. Subsequently, several test samples were analyzed by using two S/MAR prediction programs (a ChrClass and MAR-Finder) and a simple MRS criterion (S/MAR recognition signature) indicating the presence of S/MARs. Same overlap between the predictions of all MAR prediction tools has been found. Simultaneous use of the ChrClass, MRS criterion and MAR-Finder programs may help to obtain a more clearcut picture of S/MAR distribution in a query sequence. In general, our results suggest that the proportion of missed S/MARs is lower for ChrClass, whereas the proportion of wrong S/MARs is lower for MAR-Finder and MRS. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:351 / 364
页数:14
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