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31 results about "Chromosomal rearrangement" patented technology

In genetics, a chromosomal rearrangement is a mutation that is a type of chromosome abnormality involving a change in the structure of the native chromosome. Such changes may involve several different classes of events, like deletions, duplications, inversions, and translocations. Usually, these events are caused by a breakage in the DNA double helices at two different locations, followed by a rejoining of the broken ends to produce a new chromosomal arrangement of genes, different from the gene order of the chromosomes before they were broken. Structural chromosomal abnormalities are estimated to occur in around 0.5% of newborn infants.

Algorithm for modification of somatic cancer evolution

Most clinically distinguishable malignant tumors are characterized by specific mutations, specific patterns of chromosomal rearrangements and a predominant mechanism of genetic instability. It has been suggested that the internal dynamics of genomic modifications as opposed to the external evolutionary forces have a significant and complex impact on Darwinian species evolution. A similar situation can be expected for somatic cancer evolution as the key mechanisms encountered in species evolution such as duplications, rearrangements or deletions of genes also constitute prevalent mutation mechanisms in cancers with chromosomal instability. The invention is an algorithm which is based on a systems concept describing the putative constraints of the cancer genome architecture on somatic cancer evolution. The algorithm allows the identification of therapeutic target genes in individual cancer patients which do not represent oncogenes or tumor suppressor genes but have become putative therapeutic targets due to constraints of the cancer genome architecture on individual somatic cancer evolution. Target genes or regulatory elements may be identified by their designation as essential genes or regulatory elements in cancer cells of the patient but not in normal tissue cells or they may be identified by their impact on the process of somatic cancer evolution in individual patients based on phylogenetic trees of somatic cancer evolution and on the constructed multilayered cancer genome maps. The algorithm can be used for delivering personalized cancer therapy as well as for the industrial identification of novel anti-cancer drugs. The algorithm is essential for designing software programs which allow the prediction of the natural history of cancer disease in individual patients.
Owner:RUBBEN ALBERT

Algorithm for Modification of Somatic Cancer Evolution

Most clinically distinguishable malignant tumors are characterized by specific mutations, specific patterns of chromosomal rearrangements and a predominant mechanism of genetic instability. It has been suggested that the internal dynamics of genomic modifications as opposed to the external evolutionary forces have a significant and complex impact on Darwinian species evolution. A similar situation can be expected for somatic cancer evolution as the key mechanisms encountered in species evolution such as duplications, rearrangements or deletions of genes also constitute prevalent mutation mechanisms in cancers with chromosomal instability. The invention is an algorithm which is based on a systems concept describing the putative constraints of the cancer genome architecture on somatic cancer evolution. The algorithm allows the identification of therapeutic target genes in individual cancer patients which do not represent oncogenes or tumor suppressor genes but have become putative therapeutic targets due to constraints of the cancer genome architecture on individual somatic cancer evolution. Target genes or regulatory elements may be identified by their designation as essential genes or regulatory elements in cancer cells of the patient but not in normal tissue cells or they may be identified by their impact on the process of somatic cancer evolution in individual patients based on phylogenetic trees of somatic cancer evolution and on the constructed multilayered cancer genome maps. The algorithm can be used for delivering personalized cancer therapy as well as for the industrial identification of novel anti-cancer drugs. The algorithm is essential for designing software programs which allow the prediction of the natural history of cancer disease in individual patients.
Owner:RUBBEN ALBERT

An optimized method for efficiently and rapidly constructing a library of homogeneous mutants with high saturation and high resistance in stepgrass

The invention discloses an optimization method for efficiently and quickly building an ophiopogon japonicus saturation high resistance homogeneous mutant library. Ethylmethane sulfonate (EMS) and <60> Co-gamma ray are physical and chemical mutagenic agents which are most widely used, efficient and stable. The EMS can generate a plurality of point mutations on one genome, the generated mutations can be randomly distributed on the whole genome, the distribution is even, the density is high, the cost is low, and the obtaining of allelic mutants is facilitated, especially, a saturated mutant library can be obtained by a smaller mutant population; Gamma ray mutagenesis mainly causes the loss of DNA fragments and chromosomal rearrangement and is specially suitable for the building of a mutant library of which multiple family gene functions are lost; therefore, by using the two method simultaneously to make their respective advantages complementary to each other, the capacity of the mutant library is increased, the demands of the saturated mutant library are satisfied, the content of the saturated mutant library is enriched, and moreover, the obtained mutants do not involve a GM event, so the safety is high and the application is convenient.
Owner:JIANGSU POLYTECHNIC COLLEGE OF AGRI & FORESTRY
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