As the natural extension of the genomic sequencing projects, the goal of the various world-wide Structural Genomics projects is development of techniques for high throughput (HTP) cloning, protein overexpression, purification and structural determination, with the ultimate goal of determining all possible protein structures. Rapid (small-scale) screening of potential expression clones under different growth conditions is presumed to be possible and a viable way to increase throughput of protein expression. In order to test the utility of screening for soluble, heterologous protein expression, we have compared the production of recombinant proteins on a small scale (1 ml cultures in 96-well plates) in Escherichia coli under two growth conditions [a rich medium and a defined (minimal) medium] using an enzyme-linked immunosorbent assay (ELISA) against the affinity tag, with the amount of recombinant protein produced during the large-scale (500 ml) growth of E. coli. The large-scale expression products were examined after a single step affinity purification by visualization on SDS-PAGE gels. Of the open reading frames that were successfully expressed on the 1 ml scale as judged by immunodetection, 80% of them successfully scaled-up to 500 ml in a rich medium and 81% of them scaled-up in a defined medium. This is significantly higher than would be expected by a randomly selected expression condition and validates the use of small-scale expression as a screening tool for more efficient protein production.
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http://dx.doi.org/10.1007/s10969-005-3341-3 | DOI Listing |
J Microbiol Biotechnol
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School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, P.R. China.
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View Article and Find Full Text PDFJ Proteome Res
January 2025
Functional Genomics Center Zurich (FGCZ) - University of Zurich/ETH Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
Mass spectrometry is a cornerstone of quantitative proteomics, enabling relative protein quantification and differential expression analysis () of proteins. As experiments grow in complexity, involving more samples, groups, and identified proteins, interactive differential expression analysis tools become impractical. The addresses this challenge by providing a command-line interface that simplifies , making it accessible to nonprogrammers and seamlessly integrating it into workflow management systems.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Laboratory of Structural and Functional Organization of Chromosomes, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia.
Dictyostelium discoideum is a unicellular slime mold, developing into a multicellular fruiting body upon starvation. Development is accompanied by large-scale shifts in gene expression program, but underlying features of chromatin spatial organization remain unknown. Here, we report that the Dictyostelium 3D genome is organized into positionally conserved, largely consecutive, non-hierarchical and weakly insulated loops at the onset of multicellular development.
View Article and Find Full Text PDFMol Biotechnol
January 2025
Chongqing Key Laboratory of Sichuan-Chongqing Co-Construction for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Wenjiang District, Chengdu, 611137, Sichuan, China.
Quantitative polymerase chain reaction (qPCR) is a vital molecular technique for biomarker detection; however, its clinical application is impeded by the scarcity of robust biomarkers and the inherent limitations of the technology. This study conducted a bibliometric analysis of 4063 qPCR-based biomarker studies sourced from the Web of Science (WOS) database, employing VOSviewer and CiteSpace to generate multi-dimensional structural insights into this field. The results reveal a growing trend in research within this domain, with gene expression analysis playing a central role in the identification of potential biomarkers.
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