Ontology highlight
ABSTRACT:
PROVIDER: PRJEB13825 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Accurately predicting the fitness effects of high-order mutations is a grand challenge in understanding and engineering proteins. Existing models, including pre-trained protein language models, struggle to capture the multi-residue interactions that govern these effects. Here, we introduce DENet, a deep learning framework that harnesses the rich co-mutation information within directed evolution (DE) trajectories to reconstruct high-resolution fitness landscapes for deciphering and engineering of complex protein variants. Applied to the cancer target KRAS, DENet-guided screening systematically identified high-order mutants with potent activities and uncovered hidden allosteric mechanisms. For MEK1, DENet discovered complex variants with >1,000-fold increased drug resistance, revealed synergistic tail mutations, and retrospectively identified over 75% of known clinical mutations, largely outperforming existing models. To broaden the framework’s applicability, we developed an in silico strategy that simulates directed evolution to generate crucial co-mutation information from widely available single-mutant datasets. DENet provides a quantitative framework for navigating complex fitness landscapes, uniting the rational engineering of multi-mutation proteins with the elucidation of their allosteric and clinical implications.
2026-01-15 | GSE315318 | GEO
Project description:Directed evolution in mammalian cells can facilitate the engineering of mammalian-compatible biomolecules and can enable synthetic evolvability for mammalian cells. We engineered an orthogonal alphaviral RNA replication system to evolve synthetic RNA-based devices, enabling RNA replicase-assisted continuous evolution (REPLACE) in live mammalian cells. we employed REPLACE to drive the continuous intracellular evolution of the cancer-related protein MEK1 with the aim of conferring resistance to Cobimetinib. To investigate the accumulation of mutations during this evolutionary process, we conducted amplicon sequencing on experimental materials collected at different stages. The results revealed intricate relationships among different mutations, highlighting the complex nature of the evolutionary landscape.
2024-07-07 | GSE235328 | GEO
Project description:Studies of the RNA polymerase-binding molecule ppGpp in bacteria and plants have shown that changes to the kinetics of the RNA polymerase can have dramatic biological effects in the short-term as a stress response. Here we describe the reprogramming of the kinetic parameters of the RNAP through mutations arising during laboratory adaptive evolution of Escherichia coli in minimal media. The mutations cause a 10- to 30-fold decrease in open complex stability at a ribosomal promoter and approximately a 10-fold decrease in transcriptional pausing in the his operon. The kinetic changes coincide with large scale transcriptional changes, including strong downregulation of motility, acid-resistance, fimbria, and curlin genes which are observed in site-directed mutants containing the RNA polymerase mutations as well as the evolved strains harboring the mutations. Site-directed mutants also grow 60% faster than the parent strain and convert the carbon-source 15% to 35% more efficiently to biomass. The results show that long-term adjustment of the kinetic parameters of RNA polymerase through mutation can be important for adaptation to a condition. Mutations in the RNA polymerase beta prime subunit (rpoC) were discovered in E. coli following adaptation to continual logarithmic growth (OD <= 0.3) in glycerol M9 minimal media at 30 C. We used site-directed mutagenesis to make strains of E. coli isogenic to wild-type except for single adaptive rpoC mutations. We found they increase growth rate in this condition by 60%. In order to understand how the mutations affect gene expression in this condition, we extracted total mRNA from the strains, which had been growing in the adaptive evolution condition, at OD=0.3. There were three RNAP mutants and the wild-type (E. coli K-12 MG1655). Each strain had three flasks from which RNA was extracted (three biological replicates). There were no technical replicates. The mRNA was synthesized into cDNA, labeled, and hybridized to an Affymetrix E. coli 2.0 GeneChip.
2010-04-12 | E-GEOD-15500 | biostudies-arrayexpress
Project description:Directed biomolecular evolution is widely used to tailor and enhance proteins but has hitherto not been applied in the reprogramming of mammalian cells. Here we describe a novel method to identify artificially enhanced and evolved reprogramming factors by pooled screens with randomised protein libraries, cell selection based on phenotypic readouts and genotyping by amplicon sequencing. We benchmark this approach by identifying artificially enhanced Sox2 and Sox17 factors in pluripotency reprogramming.
2018-07-12 | GSE107987 | GEO
Project description:Studies of the RNA polymerase-binding molecule ppGpp in bacteria and plants have shown that changes to the kinetics of the RNA polymerase can have dramatic biological effects in the short-term as a stress response. Here we describe the reprogramming of the kinetic parameters of the RNAP through mutations arising during laboratory adaptive evolution of Escherichia coli in minimal media. The mutations cause a 10- to 30-fold decrease in open complex stability at a ribosomal promoter and approximately a 10-fold decrease in transcriptional pausing in the his operon. The kinetic changes coincide with large scale transcriptional changes, including strong downregulation of motility, acid-resistance, fimbria, and curlin genes which are observed in site-directed mutants containing the RNA polymerase mutations as well as the evolved strains harboring the mutations. Site-directed mutants also grow 60% faster than the parent strain and convert the carbon-source 15% to 35% more efficiently to biomass. The results show that long-term adjustment of the kinetic parameters of RNA polymerase through mutation can be important for adaptation to a condition.
2010-04-01 | GSE15500 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE36129: An IDN2-containing complex involved in RNA-directed DNA methylation in Arabidopsis [leaves RNA-seq] GSE36143: An IDN2-containing complex involved in RNA-directed DNA methylation in Arabidopsis [BS-seq] GSE37206: An IDN2-containing complex involved in RNA-directed DNA methylation in Arabidopsis [flowers RNA-seq] Refer to individual Series
2012-05-25 | E-GEOD-36148 | biostudies-arrayexpress