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Hoshika, S.

Publications and source records attributed to Hoshika, S..

4 recordsLinked to original sources

Sequence-Specific Targeting of GC-Rich Gene Loci by Parallel Triplex-Forming Oligonucleotides Containing a Modified Nucleobase

Targeting GC-rich gene loci is a major challenge owing to their high duplex stability, repetitive sequence composition, and propensity to adopt alternative DNA structures. Triplex-forming oligonucleotides (TFOs) provide a programmable strategy towards the recognition of GC-rich DNA, but their application is restricted by the limited recognition capabilities of natural nucleobases in a cellular setting. Here, we overcome this barrier using parallel-binding TFOs containing the synthetic nucleobase 6-amino-5-nitropyridin-2-one (Z), which enables pH-independent recognition of G-C base pairs. Using two structurally distinct regulatory elements within the MYC promoter, we show that Z-modified TFOs form stable, sequence-selective triplexes that repress promoter activity by 50-80% in both episomal reporter assays and at endogenous gene loci. Notably, the greatest repression was observed at a GC-rich quadruplex-forming element that functions as a structural hub for transcription factor recruitment. To our knowledge, this represents the first demonstration that a simple nucleobase modification alone is sufficient to enable parallel-binding TFOs to repress expression of an endogenous gene, establishing a general strategy for targeting GC-rich regulatory elements through programmable DNA recognition. TOC graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/741700v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1ee4ad6org.highwire.dtl.DTLVardef@173299eorg.highwire.dtl.DTLVardef@1b14d05org.highwire.dtl.DTLVardef@1379384_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

DNA Ligases Discriminate Between Natural and Non-Natural Base Pairs

Artificially Expanded Genetic Information Systems (AEGIS) increase the information content of nucleic acids by including new nucleobase pairings that are orthogonal to those of canonical Watson-Crick nucleobases. DNA ligases do not form direct interactions with the nucleobases during catalytic turnover, suggesting that these enzymes should efficiently and faithfully join double-stranded AEGIS substrates. Here we report the systematic investigation into the validity of this hypothesis for structurally-diverse DNA ligases employing substrates built from the eight nucleotide hachimoji genetic alphabet, where orthogonality is achieved by rearranging the hydrogen bonding patterns seen in canonical Watson-Crick pairs. We find that single, or multiple, non-canonical bases are well tolerated at the 5-end of the nick. However, tracts of consecutive non-canonical bases at the 3-end of the break significantly decrease ligation efficiency or abolish it altogether. Possible reasons for this apparent bias against non-canonical nucleobases could include incompatibility in electrostatic interactions between the ligase active site and the non-canonical substrates or altered conformational preferences and/or dynamics in key catalytic intermediates. We also observe single hachimoji mismatches are ligated more frequently than mis paired canonical bases, potentially due to promiscuous pairing of tautomeric forms of the non-canonical bases.

biochemistry↗

Overcoming Resolution Attenuation During Tilted Cryo-EM Data Collection

Structural biology efforts using cryogenic electron microscopy are frequently stifled by specimens adopting "preferred orientations" on grids, leading to anisotropic map resolution and impeding structure determination. Tilting the specimen stage during data collection is a generalizable solution but has historically led to substantial resolution attenuation. Here, we develop updated data collection and image processing workflows and demonstrate, using multiple specimens, that resolution attenuation is negligible or significantly reduced across tilt angles. Reconstructions with and without the stage tilted as high as 60{degrees} are virtually indistinguishable. These strategies allowed the reconstruction to 3 [A] resolution of a bacterial RNA polymerase with preferred orientation. Furthermore, we present a quantitative framework that allows cryo-EM practitioners to define an optimal tilt angle for dataset acquisition. These data reinforce the utility of employing stage tilt for data collection and provide quantitative metrics to obtain isotropic maps.

biophysics↗

DNA Structure Design Is Improved Using an Artificially Expanded Alphabet of Base Pairs Including Loop and Mismatch Thermodynamic Parameters

We show that in silico design of DNA secondary structures is improved by extending the base pairing alphabet beyond A-T and G-C to include the pair between 2-amino-8-(1-{beta}-D-2-deoxyribofuranosyl)-imidazo-[1,2-a]-1,3,5-triazin-(8H)-4-one and 6-amino-3-(1-{beta}-D-2-deoxyribofuranosyl)-5-nitro-(1H)-pyridin-2-one, simply P and Z. To obtain the thermodynamic parameters needed to include P-Z pairs in the designs, we performed 47 optical melting experiments and combined the results with previous work to fit a new set of free energy and enthalpy nearest neighbor folding parameters for P-Z pairs and G-Z wobble pairs. We find that G-Z pairs have stability comparable to A-T pairs and therefore should be considered quantitatively by structure prediction and design algorithms. Additionally, we extrapolated the set of loop, terminal mismatch, and dangling end parameters to include P and Z nucleotides. These parameters were incorporated into the RNAstructure software package for secondary structure prediction and analysis. Using the RNAstructure Design program, we solved 99 of the 100 design problems posed by Eterna using the ACGT alphabet or supplementing with P-Z pairs. Extending the alphabet reduced the propensity of sequences to fold into off-target structures, as evaluated by the normalized ensemble defect (NED). The NED values were improved relative to those from the Eterna example solutions in 91 of 99 cases where Eterna-player solutions were provided. P-Z-containing designs had average NED values of 0.040, significantly below the 0.074 of standard-DNA-only designs, and inclusion of the P-Z pairs decreased the time needed to converge on a design. This work provides a sample pipeline for inclusion of any expanded alphabet nucleotides into prediction and design workflows.

biophysics↗