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1.
BMC Genomics ; 8: 399, 2007 Oct 31.
Article in English | MEDLINE | ID: mdl-17974005

ABSTRACT

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 Interface
2.
PLoS One ; 6(7): e22176, 2011.
Article in English | MEDLINE | ID: mdl-21765947

ABSTRACT

Analysis of biological processes is frequently performed with the help of phenotypic assays where data is mostly acquired in single end-point analysis. Alternative phenotypic profiling techniques are desired where time-series information is essential to the biological question, for instance to differentiate early and late regulators of cell proliferation in loss-of-function studies. So far there is no study addressing this question despite of high unmet interests, mostly due to the limitation of conventional end-point assaying technologies. We present the first human kinome screen with a real-time cell analysis system (RTCA) to capture dynamic RNAi phenotypes, employing time-resolved monitoring of cell proliferation via electrical impedance. RTCA allowed us to investigate the dynamics of phenotypes of cell proliferation instead of using conventional end-point analysis. By introducing data transformation with first-order derivative, i.e. the cell-index growth rate, we demonstrate this system suitable for high-throughput screenings (HTS). The screen validated previously identified inhibitor genes and, additionally, identified activators of cell proliferation. With the information of time kinetics available, we could establish a network of mitotic-event related genes to be among the first displaying inhibiting effects after RNAi knockdown. The time-resolved screen captured kinetics of cell proliferation caused by RNAi targeting human kinome, serving as a resource for researchers. Our work establishes RTCA technology as a novel robust tool with biological and pharmacological relevance amenable for high-throughput screening.


Subject(s)
High-Throughput Screening Assays/methods , Mitosis , Phosphotransferases/metabolism , RNA Interference , Signal Transduction , Cell Proliferation/drug effects , Enzyme Assays , Gene Knockdown Techniques , HeLa Cells , Humans , Mitosis/drug effects , Mitosis/genetics , Phenotype , Phosphotransferases/antagonists & inhibitors , Protein Kinase Inhibitors/pharmacology , RNA, Small Interfering/metabolism , Signal Transduction/drug effects , Single-Cell Analysis , Time Factors
3.
Genomics ; 88(2): 143-51, 2006 Aug.
Article in English | MEDLINE | ID: mdl-16545939

ABSTRACT

Segmental duplications (SDs) play a key role in genome evolution by providing material for gene diversification and creation of variant or novel functions. They also mediate recombinations, resulting in microdeletions, which have occasionally been associated with human genetic diseases. Here, we present a detailed analysis of a large genomic region (about 240 kb), located on human chromosome 1q22, that contains a tandem SD, SD1q22. This duplication occurred about 37 million years ago in a lineage leading to anthropoid primates, after their separation from prosimians but before the Old and New World monkey split. We reconstructed the hypothetical unduplicated ancestral locus and compared it with the extant SD1q22 region. Our data demonstrate that, as a consequence of the duplication, new anthropoid-specific genetic material has evolved in the resulting paralogous segments. We describe the emergence of two new genes, whose new functions could contribute to the speciation of anthropoid primates. Moreover, we provide detailed information regarding structure and evolution of the SD1q22 region that is a prerequisite for future studies of its anthropoid-specific functions and possible linkage to human genetic disorders.


Subject(s)
Chromosomes, Human, Pair 1/genetics , Evolution, Molecular , Gene Duplication , Primates/genetics , Animals , Apoptosis Regulatory Proteins/genetics , Co-Repressor Proteins , DNA/metabolism , DNA-Binding Proteins , Genes, Duplicate , Humans , Models, Genetic , Platyrrhini/genetics , RNA/metabolism , RNA-Binding Proteins , Ribosomal Proteins/genetics , Sequence Analysis, DNA , Species Specificity , Transcription Factors/genetics , Transcription Factors/metabolism
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