Cyclic Electromagnetic DNA Simulation (CEDS) influences the functions of Long Oligo-dsDNAs and Plasmid DNAs
Lee, S. K.; Lee, D. G.; Kim, Y. S.
Show abstract
Hydrogen bonding magnetic resonance-based cyclic electromagnetic DNA simulation (CEDS) was proposed to play a role in regulating the function of target short oligo-dsDNA in the previous study, as the decagonal CEDS was found to induce the hybridization and conformational changes of target short oligo-dsDNA in a sequence-specific manner. This study applied dodecagonal CEDS on 24 bps oligo-dsDNAs and plasmid DNAs. CEDS can affect 24 bps oligo-dsDNAs intercalated by ethidium bromide (EtBr) or condensed by spermidine by stimulating them to partially remove EtBr or spermidine, respectively, depending on CEDS time. When the multiple cloning site of pBluescript was digested with eight restriction endonucleases (RE) under CEDS separately, all RE digests were enhanced depending on CEDS time compared to the negative and positive controls both in EtBr intercalated electrophoresis and HPLC analysis. In vitro RNA transcription from human VEGFA, vWF or elafin cDNA subcloned into pBluescript DNA was increased by CEDS using each promoter sequence depending on CEDS time compared to negative and positive controls. In addition, the productions of green fluorescent protein (GFP) and {beta}-galactosidase were enhanced by CEDS using each promoter sequence from pE-GFP-1 and pBluescript, respectively. In the survival assay using E. coli transfected with pBluescript containing ampicillin resistance gene, the number of surviving E. coli was increased by CEDS using a T3 promoter sequence compared to the control during two days of culture, while it was decreased by CEDS using a T7 promoter, non-specific 12A, 6(TA), or mutation-2 (GG18,19CC) T3 promoter sequence. Therefore, it is suggested that dodecagonal CEDS can target 24 bps oligo-dsDNAs and promoter sequences of plasmid DNAs in a sequence-specific manner and influence their functions.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Enzymatic Assembly for CRISPR Split-Cas9 System: The Emergence of a Sortase-based Split-Cas9 Technology 93%
- A Combinatorial Strategy for HRV 3C Protease Engineering to Achieve the N-terminal Free Cleavage 92%
- Structural and functional characterization of oligomeric states of proteins in RecFOR pathway 92%
Similar papers in this journal
- Akaby - cell-free protein expression system for linear templates 94%
- Mitochondrial DNA is a sensitive surrogate and oxidative stress target in oral cancer cells 93%
- In silico analysis and in planta production of recombinant ccl21/IL1β protein and characterization of its in vitro anti-tumor and immunogenic activity 93%
Similar papers in this journal
- KaScape: A sequencing-based method for global characterization of protein-DNA binding affinity 94%
- A pair of primers facing at the double-strand break site enables to detect NHEJ-mediated indel mutations at a 1-bp resolution 93%
- A versatile bulk electrotransfection protocol for mouse embryonic fibroblast and iPS cells 93%
Similar papers in this journal
- Simple cloning of large natural product biosynthetic gene clusters from Streptomyces by an engineered CRISPR/Cas12a system 95%
- Targeted mRNA demethylation using an engineered dCas13b-ALKBH5 fusion protein 93%
- RaptRanker: in silico RNA aptamer selection from HT-SELEX experiment based on local sequence and structure information 92%
Similar papers in this journal
- Development of Gene Editing Strategies for Human β-Globin (HBB) Gene Mutations 95%
- Designing a Cas9/gRNA-assisted quantitative Real-Time PCR (CARP) assay for identification of point mutations leading to rifampicin resistance in the human pathogen Mycobacterium tuberculosis 93%
- The baculovirus promoter OpIE2 sequence has inhibitory effect on the activity of the Cytomegalovirus (CMV) promoter in HeLa and HEK-293T cells 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.