ABSTRACT
Single cell genome analysis methods are powerful tools to define features of single cells and to identify differences between them. Since the DNA amount of a single cell is very limited, cellular DNA usually needs to be amplified by whole-genome amplification before being subjected to further analysis. A single nucleus only contains two haploid genomes. Thus, any DNA damage that prevents amplification results in loss of damaged DNA sites and induces an amplification bias. Therefore, the assessment of single cell DNA quality is urgently required. As of today, there is no simple method to determine the quality of a single cell DNA in a manner that will still retain the entire cellular DNA for amplification and downstream analysis. Here, we describe a method for whole-genome amplification with simultaneous quality control of single cell DNA by using a competitive spike-in DNA template.
Subject(s)
DNA/analysis , Genomics/methods , Nucleic Acid Amplification Techniques/methods , Single-Cell Analysis/methods , DNA/isolation & purification , HeLa Cells , High-Throughput Nucleotide Sequencing , Humans , Jurkat Cells , Microarray Analysis , Nucleic Acid Amplification Techniques/standards , Quality Control , Real-Time Polymerase Chain Reaction , Sequence Analysis, DNA/methods , Whole Genome Sequencing/methodsABSTRACT
BACKGROUND: With the completion of the human genome sequence the functional analysis and characterization of the encoded proteins has become the next urging challenge in the post-genome era. The lack of comprehensive ORFeome resources has thus far hampered systematic applications by protein gain-of-function analysis. Gene and ORF coverage with full-length ORF clones thus needs to be extended. In combination with a unique and versatile cloning system, these will provide the tools for genome-wide systematic functional analyses, to achieve a deeper insight into complex biological processes. RESULTS: Here we describe the generation of a full-ORF clone resource of human genes applying the Gateway cloning technology (Invitrogen). A pipeline for efficient cloning and sequencing was developed and a sample tracking database was implemented to streamline the clone production process targeting more than 2,200 different ORFs. In addition, a robust cloning strategy was established, permitting the simultaneous generation of two clone variants that contain a particular ORF with as well as without a stop codon by the implementation of only one additional working step into the cloning procedure. Up to 92 % of the targeted ORFs were successfully amplified by PCR and more than 93 % of the amplicons successfully cloned. CONCLUSION: The German cDNA Consortium ORFeome resource currently consists of more than 3,800 sequence-verified entry clones representing ORFs, cloned with and without stop codon, for about 1,700 different gene loci. 177 splice variants were cloned representing 121 of these genes. The entry clones have been used to generate over 5,000 different expression constructs, providing the basis for functional profiling applications. As a member of the recently formed international ORFeome collaboration we substantially contribute to generating and providing a whole genome human ORFeome collection in a unique cloning system that is made freely available in the community.
Subject(s)
Cloning, Molecular/methods , DNA, Complementary/genetics , Databases, Genetic , Genome, Human , Open Reading Frames/genetics , Codon, Terminator/genetics , Computer Simulation , Cooperative Behavior , DNA Primers , DNA-Directed DNA Polymerase/metabolism , Germany , Humans , Models, Biological , Polymerase Chain Reaction , Quality Control , Recombination, Genetic/genetics , Sequence Analysis, DNA/methods , User-Computer InterfaceABSTRACT
The methylotrophic yeast Hansenula polymorpha is a recognised model system for investigation of peroxisomal function, special metabolic pathways like methanol metabolism, of nitrate assimilation or thermostability. Strain RB11, an odc1 derivative of the particular H. polymorpha isolate CBS4732 (synonymous to ATCC34438, NRRL-Y-5445, CCY38-22-2) has been developed as a platform for heterologous gene expression. The scientific and industrial significance of this organism is now being met by the characterisation of its entire genome. The H. polymorpha RB11 genome consists of approximately 9.5 Mb and is organised as six chromosomes ranging in size from 0.9 to 2.2 Mb. Over 90% of the genome was sequenced with concomitant high accuracy and assembled into 48 contigs organised on eight scaffolds (supercontigs). After manual annotation 4767 out of 5933 open reading frames (ORFs) with significant homologies to a non-redundant protein database were predicted. The remaining 1166 ORFs showed no significant similarity to known proteins. The number of ORFs is comparable to that of other sequenced budding yeasts of similar genome size.
Subject(s)
Genome, Fungal , Pichia/genetics , Sequence Analysis, DNA , Base Sequence , DNA, Fungal/genetics , Databases, Protein , Gene Library , Genes, Fungal , Molecular Sequence Data , Open Reading Frames/genetics , Saccharomyces cerevisiae/geneticsABSTRACT
A 171812 bp nucleotide sequence between prkA and addAB (83 degrees to 97 degrees) on the genetic map of the Bacillus subtilis 168 chromosome was determined and analysed. An accurate physical/genetic map of this previously poorly described chromosomal region was constructed. One hundred and seventy open reading frames (ORFs) were identified on the DNA fragment. These include the previously described genes cspB, glpPFKD, spoVR, phoAIV, papQ, citRA, sspB, prsA, hpr, pbpF, hemEHY, aprE, comK and addAB. ORF yhaF in this region corresponds to the glyB marker. Among the striking features of this region are: an abundance of genes encoding (putative) transporter proteins, several dysfunctional genes, the ubiquitous hit gene, and five multidrug-resistance-like genes. These analyses have also revealed the existence of numerous paralogues of ORFs in this region: about two-thirds of the putative genes seem to have at least one paralogue in the B. subtilis genome.
