Sequence of the human insulin gene.

Nature (Impact Factor: 42.35). 04/1980; 284(5751):26-32. DOI: 10.1038/284026a0
Source: PubMed

ABSTRACT The human insulin gene contains two intervening sequences, one is within the region transcribed into the 5'-untranslated segment of the mRNA and the other interrupts the C-peptide encoding region. A comparison of the human with the rat insulin genes indicates potential regulatory regions in the DNA segment preceding the gene and suggests that the ancestral form of the insulin gene had two intervening sequences.

1 Follower
  • Source
    Dataset: srep06465
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: There is a steady increasing demand for insulin worldwide. Current insulin manufacturing capacities can barely meet this increasing demand. The purpose of this study was to test the feasibility of producing human proinsulin in the milk of transgenic animals. Four lines of transgenic mice harboring a human insulin cDNA with expression driven by the goat β-casein gene promoter were generated. The expression level of human proinsulin in milk was as high as 8.1 g/L. The expression of the transgene was only detected in the mammary gland during lactation, with higher levels at mid-lactation and lower levels at early and late lactation. The blood glucose and insulin levels and the major milk compositions were unchanged, and the transgenic animals had no apparent health defects. The mature insulin derived from the milk proinsulin retained its biological activity. In conclusion, our study provides supporting evidence to explore the production of high levels of human proinsulin in the milk of dairy animals.
    Scientific Reports 09/2014; 4:6465. DOI:10.1038/srep06465 · 5.08 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Data mining produces models that capture and represent hidden patterns in the DNA structure. Any attempt to develop and test new algorithms for data mining in the field of bioinformatics, must begin with an optimal method by which even the huge FASTA files can be read step by step. The aim of the GENOMIN software is to provide an open source software platform which can work with large files like a whole chromosome or genome sequence. We have created an open source template software, named GENOMIN, for analyzing genetic data of sequences of different sizes downloaded from NCBI servers. Large NCBI FASTA files which store sequences of individual chromosomes come from other processing systems like UNIX. Processing these files on other operating systems is difficult due to different markers which indicate the end of each line. The GENOMIN software, reads the FASTA files by continuous buffer reading, without taking into account the end of line markers. The result of this type of reading is a brute, noisy free DNA sequence of the entire file regardless of its size. We presented three examples to demonstrate how the program can be used in biology: the estimation of GC content, identification of repetitive elements and search for sequences with different biological functions (e.g. duplicated regions or potential binding sites for transcription factors). Development of this open source software is limited only by the researcher programming skills. The results of our tests have been shown that GENOMIN can perform various tests on large sequences files and can work with different algorithms used in biology.

Full-text (2 Sources)

Available from
Jun 26, 2014