Caenorhabditis elegans
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA102803 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:CGH mapping of Genetic Deficiencies balanced by sDp3 on LGIII
| PRJNA103147 | ENA
Project description:We have extended our array-CGH analysis of genetic deficiencies in Caenorhabditis elegans to a set on LGV (left) balanced by the reciprocal translocation eT1. This set includes 20 deletions and a single duplication. Keywords: C.elegans Deficiencies CGH
2009-12-18 | GSE14036 | GEO
Project description:High-resolution array comparative genomic hybridization of genetic deficiencies on chromosome V in C. elegans
| PRJNA112393 | ENA
Project description:Fast genetic mapping of complex traits in C. elegans using millions of individuals in bulk
| PRJNA529922 | ENA
Project description:Background: A collection of genetic deficiencies covering over 70% of the Caenorhabditis elegans genome exists, however the application of these valuable biological tools has been limited due to the incomplete correlation between their genetic and physical characterization. Results: We have applied oligonucleotide array Comparative Genomic Hybridization (oaCGH) to the high resolution, molecular characterization of several genetic deficiency and duplication strains in a 5Mb region of Chromosome III. We incorporate this data into a physical deficiency map which is subsequently used to direct the positional cloning of essential genes within the region. From this analysis we are able to quickly determine the molecular identity of several previously unidentified mutations. Conclusion: We have applied accurate, high resolution molecular analysis to the characterization of genetic mapping tools in Caenorhabditis elegans. Consequently we have generated a valuable physical mapping resource, which we have demonstrated can aid in the rapid molecular identification of mutations of interest. Keywords: C.elegans Deficiencies CGH
2007-10-23 | GSE9413 | GEO
Project description:Background: A collection of genetic deficiencies covering over 70% of the Caenorhabditis elegans genome exists, however the application of these valuable biological tools has been limited due to the incomplete correlation between their genetic and physical characterization. !Series_summary = Results: We have applied oligonucleotide array Comparative Genomic Hybridization (oaCGH) to the high resolution, molecular characterization of several genetic deficiency and duplication strains in a 5Mb region of Chromosome III. We incorporate this data into a physical deficiency map which is subsequently used to direct the positional cloning of essential genes within the region. From this analysis we are able to quickly determine the molecular identity of several previously unidentified mutations. Conclusion: We have applied accurate, high resolution molecular analysis to the characterization of genetic mapping tools in Caenorhabditis elegans. Consequently we have generated a valuable physical mapping resource, which we have demonstrated can aid in the rapid molecular identification of mutations of interest. Keywords: C.elegans Deficiencies CGH
2007-10-11 | GSE9214 | GEO
Project description:mRNA expression analysis in mock and cgh-1(RNAi) animals
| PRJNA155455 | ENA
Project description:Recombinant inbred lines were created by crossing the alpha-synuclein containing Caenorhabditis elegans strains NL5901 and SCH4856. These strains contain the human alpha-synuclein gene fused to YFP and under the control of an unc-54 promotor (unc-54p::alpha-synnuclein::YFP) in an N2 and CB4856 genetic background, respectively. These two strains were used to generate a total of 212 recombinant inbred lines, of which 88 were genotyped by whole-genome sequencing using a MiSeq. These recombinant inbred lines can be used for mapping genetic modifiers affecting protein accumulation.
2023-06-30 | E-MTAB-12575 | biostudies-arrayexpress
Project description:mRNA expression analysis in wild-type, gld-1 and cgh-1 mutant animals
| PRJNA155521 | ENA
Project description:Balanced chromosome rearrangements (BCRs) can cause genetic diseases by disrupting or inactivating specific genes, and the characterisation of breakpoints in disease-associated BCRs has been instrumental in the molecular elucidation of a wide variety of genetic disorders. However, mapping chromosome breakpoints using traditional methods, such as in situ hybridization with fluorescent dye-labeled bacterial artificial chromosome clones (BAC-FISH), is rather laborious and time consuming. In addition, the resolution of BAC-FISH is often insufficient to unequivocally identify the disrupted gene. To overcome these limitations, we have performed shotgun sequencing of flow-sorted derivative chromosomes using ânext generationâ (Solexa/Illumina) multiplex sequencing-by-synthesis technology. As shown here for three different disease-associated BCRs, the coverage attained by this platform is sufficient to bridge the breakpoints by PCR amplification, and this procedure allows to determine their exact nucleotide positions within few weeks. Its implementation will greatly facilitate large-scale breakpoint mapping and gene finding in patients with disease-associated balanced translocations. Array CGH was performed in three carriers of balanced translocations to exclude DNA copy number changes.
2010-05-22 | E-GEOD-10115 | biostudies-arrayexpress