![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
![[img]](http://edoc.mdc-berlin.de/style/images/fileicons/application_pdf.png) |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
790kB |
| Item Type: | Article |
|---|---|
| Title: | Structural genomics of human proteins - target selection and generation of a public catalog of expression clones |
| Creators Name: | Buessow, K. and Scheich, C. and Sievert, V. and Harttig, U. and Schultz, J. and Simon, B. and Bork, P. and Lehrach, H. and Heinemann, U. |
| Abstract: | BACKGROUND: The availability of suitable recombinant protein is still a major bottleneck in protein structure analysis. The Protein Structure Factory, part of the international structural genomics initiative, targets human proteins for structure determination. It has implemented high throughput procedures for all steps from cloning to structure calculation. This article describes the selection of human target proteins for structure analysis, our high throughput cloning strategy, and the expression of human proteins in Escherichia coli host cells. RESULTS AND CONCLUSION: Protein expression and sequence data of 1414 E. coli expression clones representing 537 different proteins are presented. 139 human proteins (18%) could be expressed and purified in soluble form and with the expected size. All E. coli expression clones are publicly available to facilitate further functional characterisation of this set of human proteins. |
| Keywords: | Controlled Study, DNA Determination, DNA Sequence, DNA Structure, Escherichia Coli, Genetic Selection, Host Cell, Molecular Cloning, Nucleotide Sequence, Protein Analysis, Protein Expression, Protein Purification, Protein Structure, Protein Targeting, Publication, Sequence Analysis, Structural Genomics, Unindexed Sequence |
| Source: | Microbial Cell Factories |
| ISSN: | 1475-2859 |
| Publisher: | BioMed Central |
| Volume: | 4 |
| Page Range: | 21 |
| Date: | 5 July 2005 |
| Official Publication: | https://doi.org/10.1186/1475-2859-4-21 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
