Dataset Information

The full-ORF clone resource of the German cDNA Consortium.

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.

SUBMITTER: Bechtel S

PROVIDER: S-EPMC2213676 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The full-ORF clone resource of the German cDNA Consortium.

Bechtel Stephanie S Rosenfelder Heiko H Duda Anny A Schmidt Christian Peter CP Ernst Ute U Wellenreuther Ruth R Mehrle Alexander A Schuster Claudia C Bahr Andre A Blöcker Helmut H Heubner Dagmar D Hoerlein Andreas A Michel Guenter G Wedler Holger H Köhrer Karl K Ottenwälder Birgit B Poustka Annemarie A Wiemann Stefan S Schupp Ingo I

BMC genomics 20071031

<h4>Background</h4>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 genom ...[more]

PMID: 17974005

Similar Datasets

Project description:Historically part of the coronavirus (CoV) family, torovirus (ToV) was recently classified in the new family Tobaniviridae. While reverse genetics systems have been established for various CoVs, none exist for ToVs. Here, we developed a reverse genetics system using an infectious full-length cDNA clone of bovine ToV (BToV) in a bacterial artificial chromosome (BAC). Recombinant BToV harboring genetic markers had the same phenotype as wild-type (wt) BToV. To generate two types of recombinant virus, the hemagglutinin-esterase (HE) gene was edited, as cell-adapted wtBToV generally loses full-length HE (HEf), resulting in soluble HE (HEs). First, recombinant viruses with HEf and hemagglutinin (HA)-tagged HEf or HEs genes were rescued. These exhibited no significant differences in their effect on virus growth in HRT18 cells, suggesting that HE is not essential for viral replication in these cells. Thereafter, we generated a recombinant virus (rEGFP) wherein HE was replaced by the enhanced green fluorescent protein (EGFP) gene. rEGFP expressed EGFP in infected cells but showed significantly lower levels of viral growth than wtBToV. Moreover, rEGFP readily deleted the EGFP gene after one passage. Interestingly, rEGFP variants with two mutations (C1442F and I3562T) in nonstructural proteins (NSPs) that emerged during passage exhibited improved EGFP expression, EGFP gene retention, and viral replication. An rEGFP into which both mutations were introduced displayed a phenotype similar to that of these variants, suggesting that the mutations contributed to EGFP gene acceptance. The current findings provide new insights into BToV, and reverse genetics will help advance the current understanding of this neglected pathogen. IMPORTANCE ToVs are diarrhea-causing pathogens detected in various species, including humans. Through the development of a BAC-based BToV, we introduced the first reverse genetics system for Tobaniviridae. Utilizing this system, recombinant BToVs with a full-length HE gene were generated. Remarkably, although clinical BToVs generally lose the HE gene after a few passages, some recombinant viruses generated in the current study retained the HE gene for up to 20 passages while accumulating mutations in NSPs, which suggested that these mutations may be involved in HE gene retention. The EGFP gene of recombinant viruses was unstable, but rEGFP into which two NSP mutations were introduced exhibited improved EGFP expression, gene retention, and viral replication. These data suggested the existence of an NSP-based acceptance or retention mechanism for exogenous RNA or HE genes. Recombinant BToVs and reverse genetics are powerful tools for understanding fundamental viral processes, pathogenesis, and BToV vaccine development.

Dataset Information

The full-ORF clone resource of the German cDNA Consortium.

Publications

The full-ORF clone resource of the German cDNA Consortium.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets