Literature DB >> 523321

The preferential codon usages in variable and constant regions of immunoglobulin genes are quite distinct from each other.

T Miyata, H Hayashida, T Yasunaga, M Hasegawa.   

Abstract

The pattern of codon utilization in the variable and constant regions of immunoglobulin genes are compared. It is shown that, in these regions, codon utilizations are quite distinct from one another: For most degenerate codons, there is a selective bias that prefers C and/or G ending codons to U and/or A ending codons in the constant region compared with the bias in the variable region. This would strongly suggest that, in immunoglobulin genes, the bias in code word usage is determined by other factors than those concerning with the translational mechanism such as tRNA availability and codon-anticodon interaction. A possibility is also suggested that this differance of code word usage between them is due to the existence of secondary structure in the constant region but not in the variable region.

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Year:  1979        PMID: 523321      PMCID: PMC342394          DOI: 10.1093/nar/7.8.2431

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  18 in total

1.  Sequence analysis of cloned cDNA encoding part of an immunoglobulin heavy chain.

Authors:  J Rogers; P Clarke; W Salser
Journal:  Nucleic Acids Res       Date:  1979-07-25       Impact factor: 16.971

2.  Sequences of mouse immunoglobulin light chain genes before and after somatic changes.

Authors:  O Bernard; N Hozumi; S Tonegawa
Journal:  Cell       Date:  1978-12       Impact factor: 41.582

3.  A complete immunoglobulin gene is created by somatic recombination.

Authors:  C Brack; M Hirama; R Lenhard-Schuller; S Tonegawa
Journal:  Cell       Date:  1978-09       Impact factor: 41.582

4.  Domains and the hinge region of an immunoglobulin heavy chain are encoded in separate DNA segments.

Authors:  H Sakano; J H Rogers; K Hüppi; C Brack; A Traunecker; R Maki; R Wall; S Tonegawa
Journal:  Nature       Date:  1979-02-22       Impact factor: 49.962

5.  Complete sequence of constant and 3' noncoding regions of an immunoglobulin mRNA using the dideoxynucleotide method of RNA sequencing.

Authors:  P H Hamlyn; G G Browniee; C C Cheng; M J Gait; C Milstein
Journal:  Cell       Date:  1978-11       Impact factor: 41.582

6.  Viral, prokaryote and eukaryote genes contrasted by mRNA sequence indexes.

Authors:  R Grantham
Journal:  FEBS Lett       Date:  1978-11-01       Impact factor: 4.124

7.  Nucleotide sequence of the ribosomal protein gene cluster adjacent to the gene for RNA polymerase subunit beta in Escherichia coli.

Authors:  L E Post; G D Strycharz; M Nomura; H Lewis; P P Dennis
Journal:  Proc Natl Acad Sci U S A       Date:  1979-04       Impact factor: 11.205

8.  Pattern and chance in the use of the genetic code.

Authors:  E M Berger
Journal:  J Mol Evol       Date:  1978-02-21       Impact factor: 2.395

9.  Codons and nearest-neighbor nucleotide pairs in mammalian messenger RNA.

Authors:  T H Jukes
Journal:  J Mol Evol       Date:  1978-06-20       Impact factor: 2.395

10.  Nucleotide sequence of the mitochondrial structural gene for subunit 9 of yeast ATPase complex.

Authors:  L A Hensgens; L A Grivell; P Borst; J L Bos
Journal:  Proc Natl Acad Sci U S A       Date:  1979-04       Impact factor: 11.205

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  10 in total

1.  B cell variable genes have evolved their codon usage to focus the targeted patterns of somatic mutation on the complementarity determining regions.

Authors:  Jasmine Saini; Uri Hershberg
Journal:  Mol Immunol       Date:  2015-02-06       Impact factor: 4.407

2.  Codon frequencies in 119 individual genes confirm consistent choices of degenerate bases according to genome type.

Authors:  R Grantham; C Gautier; M Gouy
Journal:  Nucleic Acids Res       Date:  1980-05-10       Impact factor: 16.971

3.  Coding strategy differences between constant and variable segments of immunoglobulin genes.

Authors:  P Perrin
Journal:  Nucleic Acids Res       Date:  1984-07-11       Impact factor: 16.971

4.  Extraordinarily high evolutionary rate of pseudogenes: evidence for the presence of selective pressure against changes between synonymous codons.

Authors:  T Miyata; H Hayashida
Journal:  Proc Natl Acad Sci U S A       Date:  1981-09       Impact factor: 11.205

5.  Rapidly evolving mouse alpha-globin-related pseudo gene and its evolutionary history.

Authors:  T Miyata; T Yasunaga
Journal:  Proc Natl Acad Sci U S A       Date:  1981-01       Impact factor: 11.205

6.  Nucleotide sequence divergence and functional constraint in mRNA evolution.

Authors:  T Miyata; T Yasunaga; T Nishida
Journal:  Proc Natl Acad Sci U S A       Date:  1980-12       Impact factor: 11.205

7.  Codon catalog usage is a genome strategy modulated for gene expressivity.

Authors:  R Grantham; C Gautier; M Gouy; M Jacobzone; R Mercier
Journal:  Nucleic Acids Res       Date:  1981-01-10       Impact factor: 16.971

8.  Relationship between amino acid composition and gene expression in the mouse genome.

Authors:  Kazuharu Misawa; Reiko F Kikuno
Journal:  BMC Res Notes       Date:  2011-01-27

9.  Measurement of average decoding rates of the 61 sense codons in vivo.

Authors:  Justin Gardin; Rukhsana Yeasmin; Alisa Yurovsky; Ying Cai; Steve Skiena; Bruce Futcher
Journal:  Elife       Date:  2014-10-27       Impact factor: 8.140

10.  GC-Content of Synonymous Codons Profoundly Influences Amino Acid Usage.

Authors:  Jing Li; Jun Zhou; Ying Wu; Sihai Yang; Dacheng Tian
Journal:  G3 (Bethesda)       Date:  2015-08-06       Impact factor: 3.154

  10 in total

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