Stretches Of DNA Research Articles

Embryonic tissue differentiation is characterized by transitions in cell cycle dynamic-associated core promoter regulation.

The core-promoter, a stretch of DNA surrounding the transcription start site (TSS), is a major integration-point for regulatory-signals controlling gene-transcription. Cellular differentiation is marked by divergence in transcriptional repertoire and cell-cycling behaviour between cells of different fates. The role promoter-associated gene-regulatory-networks play in development-associated transitions in cell-cycle-dynamics is poorly understood. This study demonstrates in a vertebrate embryo, how core-promoter variations define transcriptional output in cells transitioning from a proliferative to cell-lineage specifying phenotype. Assessment of cell proliferation across zebrafish embryo segmentation, using the FUCCI transgenic cell-cycle-phase marker, revealed a spatial and lineage-specific separation in cell-cycling behaviour. To investigate the role differential promoter usage plays in this process, cap-analysis-of-gene-expression (CAGE) was performed on cells segregated by cycling dynamics. This analysis revealed a dramatic increase in tissue-specific gene expression, concurrent with slowed cycling behaviour. We revealed a distinct sharpening in TSS utilization in genes upregulated in slowly cycling, differentiating tissues, associated with enhanced utilization of the TATA-box, in addition to Sp1 binding-sites. In contrast, genes upregulated in rapidly cycling cells carry broad distribution of TSS utilization, coupled with enrichment for the CCAAT-box. These promoter features appear to correspond to cell-cycle-dynamic rather than tissue/cell-lineage origin. Moreover, we observed genes with cell-cycle-dynamic-associated transitioning in TSS distribution and differential utilization of alternative promoters. These results demonstrate the regulatory role of core-promoters in cell-cycle-dependent transcription regulation, during embryo-development.

A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences.

SUMMARYEngineering gene and protein sequences with defined functional properties is a major goal of synthetic biology. Deep neural network models, together with gradient ascent-style optimization, show promise for sequence design. The generated sequences can however get stuck in local minima and often have low diversity. Here, we develop deep exploration networks (DENs), a class of activation-maximizing generative models, which minimize the cost of a neural network fitness predictor by gradient descent. By penalizing any two generated patterns on the basis of a similarity metric, DENs explicitly maximize sequence diversity. To avoid drifting into low-confidence regions of the predictor, we incorporate variational autoencoders to maintain the likelihood ratio of generated sequences. Using DENs, we engineered polyadenylation signals with more than 10-fold higher selection odds than the best gradient ascent-generated patterns, identified splice regulatory sequences predicted to result in highly differential splicing between cell lines, and improved on state-of-the-art results for protein design tasks.

Denoising DNA Encoded Library Screens with Sparse Learning.

DNA-encoded libraries (DELs) are large, pooled collections of compounds in which every library member is attached to a stretch of DNA encoding its complete synthetic history. DEL-based hit discovery involves affinity selection of the library against a protein of interest, whereby compounds retained by the target are subsequently identified by next-generation sequencing of the corresponding DNA tags. When analyzing the resulting data, one typically assumes that sequencing output (i.e., read counts) is proportional to the binding affinity of a given compound, thus enabling hit prioritization and elucidation of any underlying structure-activity relationships (SAR). This assumption, though, tends to be severely confounded by a number of factors, including variable reaction yields, presence of incomplete products masquerading as their intended counterparts, and sequencing noise. In practice, these confounders are often ignored, potentially contributing to low hit validation rates, and universally leading to loss of valuable information. To address this issue, we have developed a method for comprehensively denoising DEL selection outputs. Our method, dubbed "deldenoiser", is based on sparse learning and leverages inputs that are commonly available within a DEL generation and screening workflow. Using simulated and publicly available DEL affinity selection data, we show that "deldenoiser" is not only able to recover and rank true binders much more robustly than read count-based approaches but also that it yields scores, which accurately capture the underlying SAR. The proposed method can, thus, be of significant utility in hit prioritization following DEL screens.

Abstract IA31: Novel nuclear and mitochondrial RNAs that are linked to key pathways and depend on sex, population origin, race, tissue, and disease

Abstract IA31: Novel nuclear and mitochondrial RNAs that are linked to key pathways and depend on sex, population origin, race, tissue, and disease

A coarse-graining, ultrametric approach to resolve the phylogeny of prokaryotic strains with frequent homologous recombination

BackgroundA frequent event in the evolution of prokaryotic genomes is homologous recombination, where a foreign DNA stretch replaces a genomic region similar in sequence. Recombination can affect the relative position of two genomes in a phylogenetic reconstruction in two different ways: (i) one genome can recombine with a DNA stretch that is similar to the other genome, thereby reducing their pairwise sequence divergence; (ii) one genome can recombine with a DNA stretch from an outgroup genome, increasing the pairwise divergence. While several recombination-aware phylogenetic algorithms exist, many of these cannot account for both types of recombination; some algorithms can, but do so inefficiently. Moreover, many of them reconstruct the ancestral recombination graph (ARG) to help infer the genome tree, and require that a substantial portion of each genome has not been affected by recombination, a sometimes unrealistic assumption.MethodsHere, we propose a Coarse-Graining approach for Phylogenetic reconstruction (CGP), which is recombination-aware but forgoes ARG reconstruction. It accounts for the tendency of a higher effective recombination rate between genomes with a lower phylogenetic distance. It is applicable even if all genomic regions have experienced substantial amounts of recombination, and can be used on both nucleotide and amino acid sequences. CGP considers the local density of substitutions along pairwise genome alignments, fitting a model to the empirical distribution of substitution density to infer the pairwise coalescent time. Given all pairwise coalescent times, CGP reconstructs an ultrametric tree representing vertical inheritance.ResultsBased on simulations, we show that the proposed approach can reconstruct ultrametric trees with accurate topology, branch lengths, and root positioning. Applied to a set of E. coli strains, the reconstructed trees are most consistent with gene distributions when inferred from amino acid sequences, a data type that cannot be utilized by many alternative approaches.ConclusionsThe CGP algorithm is more accurate than alternative recombination-aware methods for ultrametric phylogenetic reconstructions.

Optimization of nonlinear optical tweezers suitable to stretch DNA molecules without broken state

The positioning of the trapped bead and DNA’s stretching dynamics in the nonlinear optical tweezers are numerically simulated by finite difference method using general Langevin. From the performance of longitudinal position-pulling time curves of bead and evolution of forces controlled by average laser power, the trapping time, possible maximum stretched length, and laser intensity threshold of to broken DNA molecule are found. We also discussed the suitable conditions to avoid broken and overstretched states for longitudinally optical stretched DNA molecule. Finally, the optimized configuration of NOT for DNA molecules having different contour lengths is proposed.

DNA looping by two 5-methylcytosine-binding proteins quantified using nanofluidic devices

BackgroundMeCP2 and MBD2 are members of a family of proteins that possess a domain that selectively binds 5-methylcytosine in a CpG context. Members of the family interact with other proteins to modulate DNA packing. Stretching of DNA–protein complexes in nanofluidic channels with a cross-section of a few persistence lengths allows us to probe the degree of compaction by proteins.ResultsWe demonstrate DNA compaction by MeCP2 while MBD2 does not affect DNA configuration. By using atomic force microscopy (AFM), we determined that the mechanism for compaction by MeCP2 is the formation of bridges between distant DNA stretches and the formation of loops.ConclusionsDespite sharing a similar specific DNA-binding domain, the impact of full-length 5-methylcytosine-binding proteins can vary drastically between strong compaction of DNA and no discernable large-scale impact of protein binding. We demonstrate that ATTO 565-labeled MBD2 is a good candidate as a staining agent for epigenetic mapping.

Nonlinear microscope objective using thin layer of organic dye for optical tweezers

The microscope objective for optical tweezers requires a high resolving power and a large numerical aperture. For these purposes, the oil immersion objective can be improved. However, the index of the oil immersion objective and glass cover-slip must be matched resulting in a limit to enhance numerical aperture, and then optical trap efficiency. The optical trap efficiency can be enhanced by using a thin layer of organic dyelike an added nonlinear lens. To improve the resolving power and the optical trap efficiency of nonlinear tweezers, a thin layer of organic dye glued by microscope objective like the nonlinear microscope objective is proposed in this paper. The explicit expressions of the focal length, numerical aperture, axial optical trap efficiency of nonlinear microscope objective are theoretically derived. Some interesting properties of particular nonlinear microscope objective used like nonlinear optical tweezersare numerically observed. The obtained results show that the numerical aperture and optical trap efficiency are significantly improved. Our proposed nonlinear microscope objective has advantages such as more compact and smooth focal shift in the range of micrometers suitable to stretch DNA molecules in comparison with the previous ones.

Ultra-deep Coverage Single-molecule R-loop Footprinting Reveals Principles of R-loop Formation

R-loops are a prevalent class of non-B DNA structures that have been associated with both positive and negative cellular outcomes. DNA:RNA immunoprecipitation (DRIP) approaches based on the anti-DNA:RNA hybrid S9.6 antibody revealed that R-loops form dynamically over conserved genic hotspots. We have developed an orthogonal approach that queries R-loops via the presence of long stretches of single-stranded DNA on their looped-out strand. Nondenaturing sodium bisulfite treatment catalyzes the conversion of unpaired cytosines to uracils, creating permanent genetic tags for the position of an R-loop. Long-read, single-molecule PacBio sequencing allows the identification of R-loop ‘footprints’ at near nucleotide resolution in a strand-specific manner on long single DNA molecules and at ultra-deep coverage. Single-molecule R-loop footprinting coupled with PacBio sequencing (SMRF-seq) revealed a strong agreement between S9.6-based and bisulfite-based R-loop mapping and confirmed that R-loops form over genic hotspots, including gene bodies and terminal gene regions. Based on the largest single-molecule R-loop dataset to date, we show that individual R-loops form nonrandomly, defining discrete sets of overlapping molecular clusters that pileup through larger R-loop zones. R-loops most often map to intronic regions and their individual start and stop positions do not match with intron-exon boundaries, reinforcing the model that they form cotranscriptionally from unspliced transcripts. SMRF-seq further established that R-loop distribution patterns are not simply driven by intrinsic DNA sequence features but most likely also reflect DNA topological constraints. Overall, DRIP-based and SMRF-based approaches independently provide a complementary and congruent view of R-loop distribution, consolidating our understanding of the principles underlying R-loop formation.

Local rewiring of genome–nuclear lamina interactions by transcription

Transcriptionally inactive genes are often positioned at the nuclear lamina (NL), as part of large lamina‐associated domains (LADs). Activation of such genes is often accompanied by repositioning toward the nuclear interior. How this process works and how it impacts flanking chromosomal regions are poorly understood. We addressed these questions by systematic activation or inactivation of individual genes, followed by detailed genome‐wide analysis of NL interactions, replication timing, and transcription patterns. Gene activation inside LADs typically causes NL detachment of the entire transcription unit, but rarely more than 50–100 kb of flanking DNA, even when multiple neighboring genes are activated. The degree of detachment depends on the expression level and the length of the activated gene. Loss of NL interactions coincides with a switch from late to early replication timing, but the latter can involve longer stretches of DNA. Inactivation of active genes can lead to increased NL contacts. These extensive datasets are a resource for the analysis of LAD rewiring by transcription and reveal a remarkable flexibility of interphase chromosomes.

Translational nucleosome positioning: A computational study.

About three-quarters of eukaryotic DNA is wrapped into nucleosomes; DNA spools with a protein core. The affinity of a given DNA stretch to be incorporated into a nucleosome is known to depend on the base-pair sequence-dependent geometry and elasticity of the DNA double helix. This causes the rotational and translational positioning of nucleosomes. In this study we ask the question whether the latter can be predicted by a simple coarse-grained DNA model with sequence-dependent elasticity, the rigid base-pair model. Whereas this model is known to be rather robust in predicting rotational nucleosome positioning, we show that the translational positioning is a rather subtle effect that is dominated by the guanine-cytosine content dependence of entropy rather than energy. A correct qualitative prediction within the rigid base-pair framework can only be achieved by assuming that DNA elasticity effectively changes on complexation into the nucleosome complex. With that extra assumption we arrive at a model which gives an excellent quantitative agreement to experimental in vitro nucleosome maps, under the additional assumption that nucleosomes equilibrate their positions only locally.

Effect of Chirality on the Elastic Properties of the DNA-Threading Binuclear Ruthenium Complex

Transition metal-based small molecules have been promising candidates for cancer treatments. A certain type of these molecules falls into a category known as threading intercalators, that have a dumbbell shape with a flat intercalating section in between bulky side chains. In order to bind to DNA, they must thread one of their bulky side chains through the DNA base pairs. The ruthenium-based molecule, ΛΛ-[μ-bidppz(phen)4Ru2]4+ (ΛΛ-P for short), is a transition metal-based threading intercalator. We use optical tweezers to study the interactions of ΛΛ-P with DNA to compare it with the previously studied ΔΔ-P, a complex that has the same chemical components but an opposite chirality. In these studies, we use the optical tweezers to trap a single DNA molecule and stretch it in the presence of various concentrations of ΛΛ-P. The DNA stretches obtained at saturated concentrations of ΛΛ-P at various forces allows us to obtain the effective elastic properties of the DNA-ΛΛ-P complex. This allows us to compare these properties to the previously studied ΔΔ-P complex to determine whether chirality has an effect. This type of comparison may lead us towards a better understanding of the role chirality has towards DNA binding.

RNA-Protein Phase Separation in Cancer: Investigating Human Satellite II RNA Structure and Function

Human Satellite II, a tandemly repeated stretch of DNA found near the centromeres of most human chromosomes, is not transcribed into RNA in normal human cells, but is expressed in many human cancer cell lines and tissues. HSATII transcripts accumulate in the nucleus adjacent to their sites of transcription and recruit nuclear regulatory proteins within these large nuclear foci. Recent evidence suggests that RNA and proteins within the nuclear environment can phase separate into liquid-like droplets, creating abberant structures, some of which are known to contribute to pathological effects.

Unraveling the Nucleosome through Microscopic Simulations

The DNA of higher organisms associates with histone proteins to organize into an array of nucleosomes. The nucleosome, however, is not one monolithic structure, but rather, refers to an ensemble of assemblies that vary in the chemical modifications present, histone composition, and surrounding DNA sequence. Here, we connect computation with experimental efforts to reveal the effects of acetylation on the H4 histone tail, the impact of a centromere-specific variant on histone assembly structure and dynamics, and the influence of nucleotide sequence on nucleosome breathing. We discover increasing levels of acetylation introduce greater transient order to the H4 histone tail with the mono-acetylation of lysine 16 causing specific structural effects; replacing histone H3 with centromere-specific CENP-A confers enhanced flexibility to dimers and entire nucleosomes, but, interestingly, more rigidity to tetramers; and lastly, that DNA sequences with greater CG content form more stable nucleosomes, undergoing fewer events in which the outer stretches of DNA spontaneously detach and reattach to the histone core.

HIRA, a DiGeorge Syndrome Candidate Gene, Confers Proper Chromatin Accessibility on HSCs and Supports All Stages of Hematopoiesis

HIRA is a histone chaperone that deposits the histone variant H3.3 in transcriptionally active genes. In DiGeorge syndromes, a DNA stretch encompassing HIRA is deleted. The syndromes manifest varied abnormalities, including immunodeficiency and thrombocytopenia. HIRA is essential in mice, as total knockout (KO) results in early embryonic death. However, the role of HIRA in hematopoiesis is poorly understood. We investigate hematopoietic cell-specific Hira deletion in mice and show that it dramatically reduces bone marrow hematopoietic stem cells (HSCs), resulting in anemia, thrombocytopenia, and lymphocytopenia. In contrast, fetal hematopoiesis is normal in Hira-KO mice, although fetal HSCs lack the reconstitution capacity. Transcriptome analysis reveals that HIRA is required for expression of many transcription factors and signaling molecules critical for HSCs. ATAC-seq analysis demonstrates that HIRA establishes HSC-specific DNA accessibility, including the SPIB/PU.1 sites. Together, HIRA provides a chromatin environment essential for HSCs, thereby steering their development and survival.

Structural variation and its potential impact on genome instability: Novel discoveries in the EGFR landscape by long-read sequencing.

Structural variation (SV) is typically defined as variation within the human genome that exceeds 50 base pairs (bp). SV may be copy number neutral or it may involve duplications, deletions, and complex rearrangements. Recent studies have shown SV to be associated with many human diseases. However, studies of SV have been challenging due to technological constraints. With the advent of third generation (long-read) sequencing technology, exploration of longer stretches of DNA not easily examined previously has been made possible. In the present study, we utilized third generation (long-read) sequencing techniques to examine SV in the EGFR landscape of four haplotypes derived from two human samples. We analyzed the EGFR gene and its landscape (+/- 500,000 base pairs) using this approach and were able to identify a region of non-coding DNA with over 90% similarity to the most common activating EGFR mutation in non-small cell lung cancer. Based on previously published Alu-element genome instability algorithms, we propose a molecular mechanism to explain how this non-coding region of DNA may be interacting with and impacting the stability of the EGFR gene and potentially generating this cancer-driver gene. By these techniques, we were also able to identify previously hidden structural variation in the four haplotypes and in the human reference genome (hg38). We applied previously published algorithms to compare the relative stabilities of these five different EGFR gene landscape haplotypes to estimate their relative potentials to generate the EGFR exon 19, 15 bp canonical deletion. To our knowledge, the present study is the first to use the differences in genomic architecture between targeted cancer-linked phased haplotypes to estimate their relative potentials to form a common cancer-linked driver mutation.

A FOXO-Dependent Replication Checkpoint Restricts Proliferation of Damaged Cells

DNA replication is challenged by numerous exogenous and endogenous factors that can interfere with the progression of replication forks. Stalling or slowing of the replication fork as a result of replication stress leads to formation of aberrant single-stranded DNA (ssDNA) stretches and potentially DNA double-stranded-breaks (DSBs). Accumulation of ssDNA activates the ATR-dependent DNA replication stress checkpoint response that slows progression from S/G2- to M-phase to protect genomic integrity. However, whether mild replication stress restricts proliferation remains controversial. Here we identify a novel cell cycle exit mechanism, that prevents S/G2 phase arrested cells from undergoing mitosis after exposure to mild replication stress through premature activation of the CDH1 bound Anaphase Promoting Complex / Cyclosome (APC/CCDH1). We find that replication stress causes a gradual decrease of the levels of the APC/CCDH1 inhibitor EMI1/FBXO5 through Forkhead Box O (FOXOs) mediated repression of its transcriptional regulator E2F1. By doing so, FOXOs limit the time during which the replication stress checkpoint is reversible, and thereby play an important role in maintaining genomic stability.

SMART (Single Molecule Analysis of Resection Tracks) Technique for Assessing DNA end-Resection in Response to DNA Damage.

DNA double strand breaks (DSBs) are among the most toxic lesions affecting genome integrity. DSBs are mainly repaired through non-homologous end joining (NHEJ) and homologous recombination (HR). A crucial step of the HR process is the generation, through DNA end-resection, of a long 3' single-strand DNA stretch, necessary to prime DNA synthesis using a homologous region as a template, following DNA strand invasion. DNA end resection inhibits NHEJ and triggers homology-directed DSB repair, ultimately guaranteeing a faithful DNA repair. Established methods to evaluate the DNA end-resection process are the immunofluorescence analysis of the phospho-S4/8 RPA32 protein foci, a marker of DNA end-resection, or of the phospho-S4/8 RPA32 protein levels by Western blot. Recently, the Single Molecule Analysis of Resection Tracks (SMART) has been described as a reliable method to visualize, by immunofluorescence, the long 3' single-strand DNA tails generated upon cell treatment with a S-phase specific DNA damaging agent (such as camptothecin). Then, DNA tract lengths can be measured through an image analysis software (such as Photoshop), to evaluate the processivity of the DNA end-resection machinery. The preparation of DNA fibres is performed in non-denaturing conditions so that the immunofluorescence detects only the specific long 3' single-strand DNA tails, generated from DSB processing.

Exploring potential of i-motif DNA formed in the promoter region of GRIN1 gene for nanotechnological applications

The tandem repeat stretches of cytosine residues fold to construct intercalated motif (i-motif) structures over an acidic pH range. Several advancements have been made to understand the biological role of i-motif DNA. Potential i-motif structures found in gene promoters are involved in positive transcriptional regulation and sequence specific DNA binding. Herein, a 27-mer C-rich DNA stretch present at the promoter region of (Glutamate Ionotropic Receptor NMDA type subunit 1) GRIN1 gene, named GRIN1c was studied to investigate its structural status using biophysical and biochemical techniques. The gel electrophoresis, circular dichroism spectroscopy and pH-dependent monophasic UV-thermal melting data revealed that GRIN1c sequence adapts a bimolecular i-motif structure. Two alternative structural models are suggested for the bimolecular i-motif structure with typical C·C+ base pairing and significant Watson-Crick base pairing. Possibility of co-existence of non-Watson-Crick and Watson-Crick base pairing in the formation of i-motif expands the repertoire of various topologies of i-motif structures. Extensive applications of i-motif structure in the areas of nanotechnology, analytical and biomedical systems and many more have made it essential to explore these multistranded structures. Nanodevices-based on i-motif structure found applications as biosensors and drug release platform, and also serve as proof for their in vivo existence.

A Simple Guide for Generating BAC Transgenic Animals for Retinal Research.

Bacterial artificial chromosomes (BACs) are genomic tools that can carry several hundred kilobases of exogenous genomic material. This allows to incorporate sufficiently large DNA stretches to include most if not all upstream and downstream cis-regulatory elements of a gene in order to mimic and analyze its endogenous regulation of expression using a reporter protein in vivo. Here, we illustrate the generation of a BAC:LIF-EGFP transgenic mouse line to describe a simplified version of BAC transgenesis using galK-based recombineering.