Dataset Information

Selection of a T7 promoter mutant with enhanced in vitro activity by a novel multi-copy bead display approach for in vitro evolution.

ABSTRACT: In vitro evolution of nucleic acids and proteins is a powerful strategy to optimize their biological and physical properties. To select proteins with the desired phenotype from large gene libraries, the proteins need to be linked to the gene they are encoded by. To facilitate selection of the desired phenotype and isolation of the encoding DNA, a novel bead display approach was developed, in which each member of a library of beads is first linked to multiple copies of a clonal gene variant by emulsion polymerase chain reaction. Beads are transferred to a second emulsion for an in vitro transcription-translation reaction, in which the protein encoded by each bead's amplicon covalently binds to the bead present in the same picoliter reactor. The beads then contain multiple copies of a clonal gene variant and multiple molecules of the protein encoded by the bead's gene variant and serve as the unit of selection. As a proof of concept, we screened a randomized library of the T7 promoter for high expression levels by flow cytometry and identified a T7 promoter variant with an ~10-fold higher in vitro transcriptional activity, confirming that the multi-copy bead display approach can be efficiently applied to in vitro evolution.

SUBMITTER: Paul S

PROVIDER: S-EPMC3592457 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Selection of a T7 promoter mutant with enhanced in vitro activity by a novel multi-copy bead display approach for in vitro evolution.

Paul Siddhartha S Stang Alexander A Lennartz Klaus K Tenbusch Matthias M Überla Klaus K

Nucleic acids research 20121015 1

In vitro evolution of nucleic acids and proteins is a powerful strategy to optimize their biological and physical properties. To select proteins with the desired phenotype from large gene libraries, the proteins need to be linked to the gene they are encoded by. To facilitate selection of the desired phenotype and isolation of the encoding DNA, a novel bead display approach was developed, in which each member of a library of beads is first linked to multiple copies of a clonal gene variant by em ...[more]

PMID: 23074193

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Project description:ObjectivesGliomas with comutations of isocitrate dehydrogenase (IDH) genes and telomerase reverse transcriptase (TERT) gene promoter (IDHmut pTERTmut) show distinct biological features and respond to first-line treatment differently in comparison with other gliomas. This study aimed to characterize the IDHmut pTERTmut gliomas in multimodal MRI using the radiomic method and establish a precise diagnostic model identifying this group of gliomas.MethodsA total of 140 patients with untreated primary gliomas were admitted between 2016 and 2020 to West China Hospital as a discovery cohort, including 22 IDHmut pTERTmut patients. Thirty-four additional cases from a different hospital were included in the study as an independent validation cohort. A total of 3654 radiomic features were extracted from the preoperative multimodal MRI images (T1c, FLAIR, and ADC maps) and filtered in a data-driven approach. The discovery cohort was split into training and test sets by a 4:1 ratio. A diagnostic model (multilayer perceptron classifier) for detecting the IDHmut pTERTmut gliomas was trained using an automatic machine-learning algorithm named tree-based pipeline optimization tool (TPOT). The most critical radiomic features in the model were identified and visualized.ResultsThe model achieved an area under the receiver-operating curve (AUROC) of 0.971 (95% CI, 0.902-1.000), the sensitivity of 0.833 (95% CI, 0.333-1.000), and the specificity of 0.966 (95% CI, 0.931-1.000) in the test set. The area under the precision-recall curve (AUCPR) was 0.754 (95% CI, 0.572-0.833) and the F1 score was 0.833 (95% CI, 0.500-1.000). In the independent validation set, the model reached 0.952 AUROC, 0.714 sensitivity, 0.963 specificity, 0.841 AUCPR, and 0.769 F1 score. MR radiomic features of the IDHmut pTERTmut gliomas represented homogenous low-complexity texture in three modalities.ConclusionsAn accurate diagnostic model was constructed for detecting IDHmut pTERTmut gliomas using multimodal radiomic features. The most important features were associated with the homogenous simple texture of IDHmut pTERTmut gliomas in MRI images transformed using Laplacian of Gaussian and wavelet filters.

Dataset Information

Selection of a T7 promoter mutant with enhanced in vitro activity by a novel multi-copy bead display approach for in vitro evolution.

Publications

Selection of a T7 promoter mutant with enhanced in vitro activity by a novel multi-copy bead display approach for in vitro evolution.

Similar Datasets

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