Dataset Information

Synthesizing non-natural parts from natural genomic template.

ABSTRACT:

Background

The current knowledge of genes and proteins comes from 'naturally designed' coding and non-coding regions. It would be interesting to move beyond natural boundaries and make user-defined parts. To explore this possibility we made six non-natural proteins in E. coli. We also studied their potential tertiary structure and phenotypic outcomes.

Results

The chosen intergenic sequences were amplified and expressed using pBAD 202/D-TOPO vector. All six proteins showed significantly low similarity to the known proteins in the NCBI protein database. The protein expression was confirmed through Western blot. The endogenous expression of one of the proteins resulted in the cell growth inhibition. The growth inhibition was completely rescued by culturing cells in the inducer-free medium. Computational structure prediction suggests globular tertiary structure for two of the six non-natural proteins synthesized.

Conclusion

To our best knowledge, this is the first study that demonstrates artificial synthesis of non-natural proteins from existing genomic template, their potential tertiary structure and phenotypic outcome. The work presented in this paper opens up a new avenue of investigating fundamental biology. Our approach can also be used to synthesize large numbers of non-natural RNA and protein parts for useful applications.

SUBMITTER: Dhar PK

PROVIDER: S-EPMC2642765 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Synthesizing non-natural parts from natural genomic template.

Dhar Pawan K PK Thwin Chaw Su CS Tun Kyaw K Tsumoto Yuko Y Maurer-Stroh Sebastian S Eisenhaber Frank F Surana Uttam U

Journal of biological engineering 20090203

<h4>Background</h4>The current knowledge of genes and proteins comes from 'naturally designed' coding and non-coding regions. It would be interesting to move beyond natural boundaries and make user-defined parts. To explore this possibility we made six non-natural proteins in E. coli. We also studied their potential tertiary structure and phenotypic outcomes.<h4>Results</h4>The chosen intergenic sequences were amplified and expressed using pBAD 202/D-TOPO vector. All six proteins showed signific ...[more]

PMID: 19187561

Similar Datasets

Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Establish a contextual expression database of spatial-temporal cardiac structures, and validate a predictive tool to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state. The overall experimental design includes 3 time points (Day0, Day5, Day11) and 3 different stem cell lines: R1 embryonic stem cells (ESCs), H9 induced pluripotent stem cells (H9-iPSCs) generated/reprogrammed by 3 transcription factors (called 3F-iPSCs), and 19BL induced pluripotent stem cells (19BL-iPSCs) generated/reprogrammed by 4 transcription factors (called 4F-iPSC). At each time point, each cell line has 3 biological replicates. In total, there are 27 samples. R1-embryonic stem cells (R1-ESCs): Day0 undifferentiated ESCs - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 3F-iPSC (H9 iPSCs): Day 0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 4F-iPSC (19BL-iPSCs): Day0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates.

Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Apply the contextual expression database of spatial-temporal cardiac structures (published in another manuscript by Li X. from the same group) to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state.

Dataset Information

Synthesizing non-natural parts from natural genomic template.

Background

Results

Conclusion

Publications

Synthesizing non-natural parts from natural genomic template.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets