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Quantification of trace amounts of proteins is technically challenging because proteins cannot be directly amplified like nucleic acids. To improve the analytical sensitivity and to complement conventional protein analysis methods, we developed a highly sensitive and homogeneous detection strategy called Protein-Induced DNA Dumbbell Amplification (PINDA). PINDA combines protein recognition with exponential nucleic acid amplification by using protein binding probes made of DNA strands conjugated to protein affinity ligands. When a pair of probes bind to the same target protein, complementary nucleic acid sequences that are conjugated to each probe are brought into close proximity. The increased local concentration of the probes results in the formation of a stable dumbbell structure of the nucleic acids. The DNA dumbbell is readily amplifiable exponentially using techniques such as loop-mediated isothermal amplification. The PINDA assay eliminates the need for washing or separation steps, and is suitable for on-site applications. Detection of the model protein, thrombin, has a linear range of 10 fM-100 pM and detection limit of 10 fM. The PINDA technique is successfully applied to the analysis of dairy samples for the detection of β-lactoglobulin, a common food allergen, and Salmonella enteritidis, a foodborne pathogenic bacterium. The PINDA assay can be easily modified to detect other targets by changing the affinity ligands used to bind to the specific targets., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Of Chargaff's four rules on DNA base quantity, his second parity rule (PR-2) is the most contentious. Various biometricians (e.g., Sueoka, Lobry) regarded PR-2 compliance as a non-adaptive feature of modern genomes that could be modeled through interrelations among mutation rates. However, PR-2 compliance with stem-loop potential was considered adaptively relevant by biochemists familiar with analyses of nucleic acid structure (e.g., of Crick) and of meiotic recombination (e.g., of Kleckner). Meanwhile, other biometricians had shown that PR-2 complementarity extended beyond individual bases (1-mers) to oligonucleotides (k-mers), possibly reflecting "advantageous DNA structure" (Nussinov). An "introns early" hypothesis (Reanney, Forsdyke) had suggested a primordial nucleic acid world with recombination-mediated error-correction requiring genome-wide stem-loop potential to have evolved prior to localized intrusions of protein-encoding potential (exons). Thus, a primordial genome was equivalent to one long intron. Indeed, when assessed as the base order-dependent component (correcting for local influences of GC%), modern genes, especially when evolving rapidly under positive Darwinian selection, display high intronic stem-loop potential. This suggests forced migration from neighboring exons by competing protein-encoding potential. PR-2 compliance may have first arisen non-adaptively. Primary prototypic structures were later strengthened by their adaptive contribution to recombination. Thus, contentious views may actually be in harmony., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Over 50 hereditary degenerative disorders are caused by expansions of short tandem DNA repeats (STRs). (GAA) n repeat expansions are responsible for Friedreich's ataxia as well as late-onset cerebellar ataxias (LOCAs). Thus, the mechanisms of (GAA) n repeat expansions attract broad scientific attention. To investigate the role of DNA nicks in this process, we utilized a CRISPR-Cas9 nickase system to introduce targeted nicks adjacent to the (GAA) n repeat tract. We found that DNA nicks 5' of the (GAA) 100 run led to a dramatic increase in both the rate and scale of its expansion in dividing cells. Strikingly, they also promoted large-scale expansions of carrier- and large normal-size (GAA) n repeats, recreating, in a model system, the expansion events that occur in human pedigrees. DNA nicks 3' of the (GAA) 100 repeat led to a smaller but significant increase in the expansion rate as well. Our genetic analysis implies that in dividing cells, conversion of nicks into double-strand breaks (DSBs) during DNA replication followed by DSB or fork repair leads to repeat expansions. Finally, we showed that 5' GAA-strand nicks increase expansion frequency in nondividing yeast cells, albeit to a lesser extent than in dividing cells., Competing Interests: Competing interests statement:The authors declare no competing interest.

Transcriptional bursting refers to the stochastic transition of a promoter between transcriptionally active and inactive states. This dynamic process is highly regulated by the dynamics of transcription factor binding to DNA, their interactions with coactivators, and the 3D interactions between promoters, condensates, and enhancers. In this mini-review, we discuss recent insights into the kinetics of transcription factors and cofactors in both simple and complex regulatory environments to understand their impact on transcriptional bursting. We examine the novel concept of transcription factor exchange and relate it to different cooperativity models. Finally, we discuss recent live-cell imaging studies on the regulation of transcriptional bursting by enhancers and transcriptional condensates., Competing Interests: Declaration of Competing Interest T.L. Lenstra reports financial support was provided by Dutch Research Council. T.L. Lenstra reports financial support was provided by Oncode Institute. T.L. Lenstra has software licensed to Zeiss. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Declaration of interests The authors disclose that the discussed tracking software of Ref. [18] has been licensed to Zeiss, a microscope company, for commercial use., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

N4-methylcytosine (4mC) is a chemical modification that occurs on one of the four nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It also actively participates in the regulation of cell differentiation and gene expression. Consequently, it is important to comprehend the role of 4mC in the epigenetic regulation for revealing the complications of the gene expression and their associated governing cellular operations. However, the inherent resource requirements and time constraints of the experimental procedure, present challenges to the cellular culture process. While data-driven methodologies present promising solutions to mitigate the demand for extensive experimental efforts, their performance relies on the suitability and existence of high-quality data. This study presents a multi-model framework that integrates convolutional neural network (CNN) with the distributed k-mer and embedding feature extraction techniques to enhance the identification of 4mC sites in DNA sequences. The integration of k-mers ensures the effective representation of the local sequence patterns, while the utilization of embedding enables a more holistic encoding by considering the broader context and semantics of the sequence data. Following the initial step, the obtained distributed representation of the DNA sequence seamlessly enters the CNN, triggering a crucial convolution operation wherein a set of adaptable filters systematically convolves across the sequence to detect vital local patterns. The proposed integrated multi-model framework was applied to six publicly available datasets and evaluated against the cutting-edge 4mCPred, 4mCCNN, iDNA4mC, Meta-4mCpred, DeepTorrent, 4mCPred-SVM, and DMKL-HFIS methods. The evaluation was based on accuracy, specificity, sensitivity, and Matthews Correlation Coefficient. The results demonstrated that the proposed multi-model framework outperformed the state-of-the-art methods, as well as one-hot encoding and the hybrid of one-hot & TNC features, in accurately identifying 4mC sites., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Here we intend to shift the "DNA- and information-centric" conception of biological inheritance, with the accompanying exclusion of any non-DNA matter, to a "poly-matter network" framework which, in addition to DNA, considers the action of other cellular membranous constituents. These cellular structures, in particular organelles and plasma membranes, express "landscapes" of specific topologies at their surfaces, which may become altered in response to certain environmental factors. These so-called "membranous environmental landscapes" (MELs), which replicate by self-organization / autopoiesis rather than self-assembly, are transferred from donor to acceptor cells by various - vesicular and non-vesicular - mechanisms and exert novel features in the acceptor cells. The "DNA-centric" conception may be certainly explanatorily sufficient for the transfer of heritable phenotype variation to acceptor cells following the copying of DNA in donor cells and thereby for the phenomenon of biological inheritance of traits. However, it is not causally sufficient. With the observation of phenotype variation, as initially manifested during bacterial transformation, the impact of environmental factors, such as nutrition and stress, in the differential regulation of gene expression has been widely accepted and resulted in intense efforts to resolve the underlying epigenetic mechanisms. However, these are explained under a conceptual frame where the DNA (and associated proteins) are the only matter of inheritance. In contrast, it is our argumentation that inheritance can only be adequately understood as the transfer of DNA in concert with non-DNA matter in a "poly-matter network" conception. The adequate inclusion of the transfer of non-DNA matter is still a desideratum of future genetic research, which may pave the way for the experimental elucidation not only of how DNA and membrane matter act in concert to enable the inheritance of innate traits, but also whether they interact for that of acquired biological traits. Moreover, the "poly-matter network" conception may open new perspectives for an understanding of the pathogenesis of "common complex" diseases., (© 2024. The Author(s).)

Intracellular DNA primarily serves as the cellular genetic material both in eukaryotes and prokaryotes. This function is often regulated by alterations in the DNA structure to accommodate transcription, recombination, and DNA replication. Extracellularly, both eukaryotic and prokaryotic cells take advantage of DNA plenty in addition to a permissive environment and create novel structures to fulfill multiple new roles. As often occurs intracellularly, extracellular DNA requires proteins to facilitate and stabilize these important structures. Here I review, both host and eubacterial nucleoprotein structures, their composition, their functions, and how these distinct structures can interact. Even at this early stage of study, it is clear that extracellular chromatin plays important biological roles in the survival of both prokaryotic and eukaryotic organisms., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Steven D. Goodman reports a relationship with Clarametyx Biosciences that includes: consulting or advisory and equity or stocks. Steven D. Goodman has patent licensed to Nationwide Children's Hospital. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Harnessing DNA as a high-density storage medium for information storage and molecular recording of signals has been of increasing interest in the biotechnology field. Recently, progress in enzymatic DNA synthesis, DNA digital data storage, and DNA-based molecular recording has been made by leveraging the activity of the template-independent DNA polymerase, terminal deoxynucleotidyl transferase (TdT). TdT adds deoxyribonucleotides to the 3' end of single-stranded DNA, generating random sequences of single-stranded DNA. TdT can use several divalent cations for its enzymatic activity and exhibits shifts in deoxyribonucleotide incorporation frequencies in response to changes in its reaction environment. However, there is limited understanding of sequence-structure-function relationships regarding these properties, which in turn limits our ability to modulate TdT to further advance TdT-based tools. Most TdT literature to-date explores the activity of murine, bovine or human TdTs; studies probing TdT sequence and structure largely focus on strictly conserved residues that are functionally critical to TdT activity. Here, we explore non-conserved TdT sequence space by surveying the natural diversity of TdT. We characterize a diverse set of TdT homologs from different organisms and identify several TdT residues/regions that confer differences in TdT behavior between homologs. The observations in this study can design rules for targeted TdT libraries, in tandem with a screening assay, to modulate TdT properties. Moreover, the data can be useful in guiding further studies of potential residues of interest. Overall, we characterize TdTs that have not been previously studied in the literature, and we provide new insights into TdT sequence-function relationships., (© 2024 The Author(s). Biotechnology and Bioengineering published by Wiley Periodicals LLC.)

Purpose: Abnormalities in lipid metabolism have been proposed in Bietti's crystalline dystrophy (BCD). We aim to characterize the lipid profiles in a case-control study., Methods: All participants were genetically confirmed by CYP4V2 gene sequencing and underwent chorioretinopathy evaluation by calculating the percentages of AF atrophy (PAFA). Fasting blood samples of BCD patients and controls were collected, and plasma was analyzed for routine lipid profiles. Targeted lipidomic evaluation includes long chain polyunsaturated fatty acids (LCPUFA) and associated eicosanoid metabolites., Results: Routine lipids profiles showed elevated plasma levels of triglyceride (P = 0.043) and low-density lipoprotein cholesterol (P = 0.024) in BCD patients. Lipidomic analysis showed significantly decreased levels of ω-3 LCPUFA including docosahexaenoic acid (DHA, 22:6, P = 0.00068) and eicosapentaenoic acid (EPA, 20:5, P = 0.0016), as well as ω-6 LCPUFA arachidonic acid (ARA, 20:4, P < 0.0001) in BCD patients. Eicosanoid metabolites, either derived from ω-3 and/ or ω-6 LCPUFAs via cyclooxygenase (COX) or lipoxygenase (LOX) pathways, including 5-HEPE, 12-HEPE, 13-HDHA, 15-HETE, 12-HETE, 5-HETE, 6k-PGF1a, PGE2, PGJ2, and TXB2, exhibited significant differences (P < 0.0001) between BCD patients and controls. Genotypes of CYP4V2, specifically the biallelic null mutations, were observed to correlate with more remarkably reduced levels of oxylipins, involving major LOX pathway metabolites including 5-HETE, 5-HEPE, 12-HEPE and LTB4., Conclusions: BCD patients demonstrated significant decreases in plasma levels of ω-3 and ω-6 LCPUFA (DHA, EPA, and ARA), as well as their downstream metabolites via the COX and LOX pathways, suggesting that these might be implicated in BCD pathogenesis and could serve as biomarkers and therapeutic targets of the disease., Key Messages: What is known BCD is a vision-threatening hereditary disease the causative gene of which is CYP4V2. Abnormalities in lipid metabolism have been proposed and demonstrated previously in BCD studies. The detailed pathogenesis remains unclear and controversial. What is new We observed prominent lipidomic alterations in the circulation when compared with age, gender, and bodymass index (BMI)-matched healthy controls. BCD patients demonstrated significant decreases in plasma levels of ω-3 and ω-6 LCPUFA (DHA, EPA, and ARA). Remarkable changes were observed in the downstream metabolites of the LCPUFA via the COX and LOX pathways. Genotypes of CYP4V2, specifically the biallelic null mutations, were observed to correlate with more remarkably reduced levels of oxylipins, involving major LOX pathway metabolites., Competing Interests: Declarations. Ethical approval: Institutional Review Board (IRB) approval was obtained from the Ethics Committee of Beijing Tongren Hospital, Capital Medical University, Beijing, China, and the current study adhered to the tenets of the Declaration of Helsinki. Research involving human participants and/or animals: BCD patients and healthy controls. Informed consent: Was adopted from each participant. Conflicts of interest: None., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

CYP2C19*3 enzyme plays a pivotal role in drug metabolism and is tightly regulated by the CYP2C19*3 gene. Therefore, quantification of CYP2C19*3 gene holds paramount importance for achieving personalized medication guidance in precision medicine. In this project, the magnetic electrochemical biosensors were constructed for the ultra-sensitive detection of CYP2C19*3 gene. Employing magnetic α-Fe 2 O 3 /Fe 3 O 4 @Au as the matrixes for signal amplification, CYP2C19*3 complementary chains (c-ssDNA) were bound to their surfaces through gold-sulfur bonds with subsequent specific sites blockade by bovine serum albumin (BSA) to form the α-Fe 2 O 3 /Fe 3 O 4 @Au/c-ssDNA/BSA biosensors. This design enabled efficient biosensors separation, target gene capture, and self-assembly on the electrode surface, enhancing the response signal. The biosensors exhibited excellent capture capabilities with a wide linear range (1 pM-1 μM), a low detection limit of 0.2710 pM, a quantitation limit of 0.9033 pM, reproducibility with an RSD value of 1.26 %, and stable storage for at least one week. The RSD value of CYP2C19*3 in serum samples consistently remained below 4.5 %, with a recovery rate ranging 95.52 % from 102.71 %. Moreover, the target gene could be accurately identified and captured in a mixed system of multiple nucleotide mutants of the CYP2C19*3 gene, suggesting a promising applicability and popularization., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

OMEGA RNA (ωRNA)-guided endonuclease IscB, the evolutionary ancestor of Cas9, is an attractive system for in vivo genome editing because of its compact size and mechanistic resemblance to Cas9. However, wild-type IscB-ωRNA systems show limited activity in human cells. Here we report enhanced OgeuIscB, which, with eight amino acid substitutions, displayed a fourfold increase in in vitro DNA-binding affinity and a 30.4-fold improvement in insertion-deletion (indel) formation efficiency in human cells. Paired with structure-guided ωRNA engineering, the enhanced OgeuIscB-ωRNA systems efficiently edited the human genome across 26 target sites, attaining up to 87.3% indel and 62.2% base-editing frequencies. Both wild-type and engineered OgeuIscB-ωRNA showed moderate fidelity in editing the human genome, with off-target profiles revealing key determinants of target selection including an NARR target-adjacent motif (TAM) and the TAM-proximal 14 nucleotides in the R-loop. Collectively, our engineered OgeuIscB-ωRNA systems are programmable, potent and sufficiently specific for human genome editing., Competing Interests: Competing interests: The University of Chicago and Cornell University filed provisional patent applications (63/523,862 and 63/523,884) on the engineered IscB–ωRNA systems and their applications for programmed genome editing. These patent applications are pending and the inventors are W.T., H.Y. and A.K. The other authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

G-quadruplex/thioflavin T (G4/THT) is one of the ideal label-free fluorescent light-emitting elements in the field of biosensors due to its good programmability and adaptability. However, the unsatisfactory luminous efficiency of single-molecule G4/THT limits its more practical applications. Here, we developed a G4 embedded semi-catalytic hairpin assembly (G4-SCHA) reaction by rationally modifying the traditional CHA reaction, and combined with the invasive reaction, supplemented by magnetic separation technology, for label-free sensitive detection of single nucleotide polymorphisms (SNPs). The invasive reaction enabled specific recognition of single-base mutations in DNA sequences as well as preliminary signal cycle amplification. Then, magnetic separation was used to shield the false positive signals. Finally, the G4-SCHA was created for secondary amplification and label-free output of the signal. This dual-signal amplified label-free biosensor has been shown to detect mutant targets as low as 78.54 fM. What's more, this biosensor could distinguish 0.01 % of the mutant targets from a mixed sample containing a large number of wild-type targets. In addition, the detection of real and complex biological samples also verified the practical application value of this biosensor in the field of molecular design breeding. Therefore, this study improves a label-free fluorescent light-emitting element, and then proposes a simple, efficient and universal label-free SNP biosensing strategy, which also provides an important reference for the development of other G4/THT based biosensors., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Targeting, safety, scalability, and storage stability of vectors are still challenges in the field of nucleic acid delivery for gene therapy. Silica-based nanoparticles have been widely studied as gene carriers, exhibiting key features such as biocompatibility, simplistic synthesis, and enabling easy surface modifications for targeting. However, the ability of the formulation to incorporate DNA is limited, which restricts the number of DNA molecules that can be incorporated into the particle, thereby reducing gene expression. Here we use polymerase chain reaction (PCR)-generated linear DNA molecules to augment the coding sequences of gene-carrying nanoparticles, thereby maximizing nucleic acid loading and minimizing the size of these nanocarriers. This approach results in a remarkable 16-fold increase in protein expression six days post-transfection in cells transfected with particles carrying the linear DNA compared with particles bearing circular plasmid DNA. The study also showed that the use of linear DNA entrapped in DNA@SiO 2 resulted in a much more efficient level of gene expression compared to standard transfection reagents. The system developed in this study features simplicity, scalability, and increased transfection efficiency and gene expression over existing approaches, enabled by improved embedment capabilities for linear DNA, compared to conventional methods such as lipids or polymers, which generally show greater transfection efficiency with plasmid DNA. Therefore, this novel methodology can find applications not only in gene therapy but also in research settings for high-throughput gene expression screenings.

In recent years, more sophisticated DNA technologies for genotyping have enabled considerable progress in various fields such as clinical genetics, archaeogenetics and forensic genetics. DNA samples previously rejected as too challenging to analyze due to low amounts of degraded DNA can now provide useful information. To increase the chances of success with the new methodologies, it is crucial to know the fragment size of the template DNA molecules, and whether the DNA in a sample is mostly single or double stranded. With this knowledge, an appropriate library preparation method can be chosen, and the DNA shearing parameters of the protocol can be adjusted to the DNA fragment size in the sample. In this study, we first developed and evaluated a user-friendly fluorometry-based protocol for estimation of DNA strandedness. We also evaluated different capillary electrophoresis methods for estimation of DNA fragmentation levels. Next, we applied the developed methodologies to a broad variety of DNA samples processed with different DNA extraction protocols. Our findings show that both the applied DNA extraction method and the sample type affect the DNA strandedness and fragmentation. The established protocols and the gained knowledge will be applicable for future sequencing-based high-density SNP genotyping in various fields., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

DNA double-strand break (DSB) is the most dangerous type of DNA damage, which may lead to cell death or oncogenic mutations. Homologous recombination (HR) and nonhomologous end-joining (NHEJ) are two typical DSB repair mechanisms. Recently, many studies have revealed that liquid-liquid phase separation (LLPS) plays a pivotal role in DSB repair and response. Through LLPS, the crucial biomolecules are quickly recruited to damaged sites with a high concentration to ensure DNA repair is conducted quickly and efficiently, which facilitates DSB repair factors activating downstream proteins or transmitting signals. In addition, the dysregulation of the DSB repair factor's phase separation has been reported to promote the development of a variety of diseases. This review not only provides a comprehensive overview of the emerging roles of LLPS in the repair of DSB but also sheds light on the regulatory patterns of phase separation in relation to the DNA damage response (DDR).

Summary: DamID sequencing is a technique to map the genome-wide interaction of a protein with DNA. Damsel is the first Bioconductor package to provide an end to end analysis for DamID sequencing data within R. Damsel performs quantification and testing of significant binding sites along with exploratory and visual analysis. Damsel produces results consistent with previous analysis approaches., Availability and Implementation: The R package Damsel is available for install through the Bioconductor project https://bioconductor.org/packages/release/bioc/html/Damsel.html and the code is available on GitHub https://github.com/Oshlack/Damsel/., (© The Author(s) 2024. Published by Oxford University Press.)

DNA targeting Class 2 CRISPR-Cas effector nucleases, including the well-studied Cas9 proteins, evolved protospacer-adjacent motif (PAM) and guide RNA interactions that sequentially license their binding and cleavage activities at protospacer target sites. Both interactions are nucleic acid sequence specific but function constitutively; thus, they provide intrinsic spatial control over DNA targeting activities but naturally lack temporal control. Here we show that engineered Cas9 fusion proteins which bind to nascent RNAs near a protospacer can facilitate spatiotemporal coupling between transcription and DNA targeting at that protospacer: Transcription-associated Cas9 Targeting (TraCT). Engineered TraCT is enabled in eukaryotic yeast or human cells when suboptimal PAM interactions limit basal activity and when one or more nascent RNA substrates are still tethered to the actively transcribed target DNA in cis. Using yeast, we further show that this phenomenon can be applied for selective editing at one of two identical targets in distinct gene loci, or, in diploid allelic loci that are differentially transcribed. Our work demonstrates that temporal control over Cas9's targeting activity at specific DNA sites may be engineered without modifying Cas9's core domains and guide RNA components or their expression levels. More broadly, it establishes co-transcriptional RNA binding as a cis-acting mechanism that can conditionally stimulate CRISPR-Cas DNA targeting in eukaryotic cells., Competing Interests: Competing interests: Jef Boeke is a Founder and Director of CDI Labs, Inc., a Founder of and consultant to Opentrons LabWorks/Neochromosome, Inc, and serves or served on the Scientific Advisory Board of the following: CZ Biohub New York, LLC, Logomix, Inc., Modern Meadow, Inc., Rome Therapeutics, Inc., SeaHub, Seattle, WA, Tessera Therapeutics, Inc. and the Wyss Institute. Marcus Noyes is a founder of TBG Therapeutics, Inc. New York University filed a provisional patent application (No. 63/582,731) for findings described in this work, with Gregory Goldberg, Marcus Noyes, and Jef Boeke listed as inventors. The other authors declare no competing interests., (© 2024. The Author(s).)

The best-studied mechanism of eukaryotic RNA polymerase II (RNAPII) transcriptional termination involves polyadenylation site-directed cleavage of the nascent RNA. The RNAPII-associated cleavage product is then degraded by XRN2, dislodging RNAPII from the DNA template. In contrast, prokaryotic RNAP and eukaryotic RNAPIII often terminate directly at T-tracts in the coding DNA strand. Here, we demonstrate a similar and omnipresent capability for mammalian RNAPII. Importantly, this termination mechanism does not require upstream RNA cleavage. Accordingly, T-tract-dependent termination can take place when XRN2 cannot be engaged. We show that T-tracts can terminate snRNA transcription independently of RNA cleavage by the Integrator complex. Importantly, we found genome-wide termination at T-tracts in promoter-proximal regions but not within protein-coding gene bodies. XRN2-dependent termination dominates downstream from protein-coding genes, but the T-tract process is sometimes used. Overall, we demonstrate global DNA-directed attrition of RNAPII transcription, suggesting that RNAPs retain the potential to terminate over T-rich sequences throughout evolution., (© 2024 Davidson et al.; Published by Cold Spring Harbor Laboratory Press.)

Genomic DNA breakages and the subsequent insertion and deletion mutations are important contributors to genome instability and linked diseases. Unlike the research in point mutations, the relationship between DNA sequence context and the propensity for strand breaks remains elusive. Here, by analyzing the differences and commonalities across myriads of genomic breakage datasets, we extract the sequence-linked rules and patterns behind DNA fragility. We show the overall deconvolution of the sequence influence into short-, mid- and long-range effects, and the stressor-dependent differences in defining the range and compositional effects on DNA fragility. We summarize and release our feature compendium as a library that can be seamlessly incorporated into genomic machine learning procedures, where DNA fragility is of concern, and train a generalized DNA fragility model on cancer-associated breakages. Structural variants (SVs) tend to stabilize regions in which they emerge, with the effect most pronounced for pathogenic SVs. In contrast, the effects of chromothripsis are seen across regions less prone to breakages. We find that viral integration may bring genome fragility, particularly for cancer-associated viruses. Overall, this work offers novel insights into the genomic sequence basis of DNA fragility and presents a powerful machine learning resource to further enhance our understanding of genome (in)stability and evolution., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Nucleosome remodelers at replication forks function in the assembly and maturation of chromatin post DNA synthesis. The ISWI chromatin remodeler SNF2L (or SMARCA1) travels with replication forks but its contribution to DNA replication remains largely unknown. We find that fork elongation is curtailed when SNF2L is absent. SNF2L deficiency elevates replication stress and causes fork collapse due to remodeling activities by fork reversal enzymes. Mechanistically, SNF2L regulates nucleosome assembly to suppress post-replicative ssDNA gap accumulation. Gap induction is not dependent on fork remodeling and PRIMPOL. Instead, gap synthesis is driven by MRE11 and EXO1 indicating susceptibility of nascent DNA to nucleolytic cleavage and resection when SNF2L is removed. Additionally, nucleosome remodeling by SNF2L protects nascent chromatin from MNase digestion and gap induction highlighting a critical role of SNF2L in chromatin assembly post DNA synthesis to maintain unperturbed replication., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

The on-chip large-scale-integration of genetically programmed artificial cells capable of exhibiting collective expression patterns is important for fundamental research and biotechnology. Here, we report a 3D biochip with a 2D layout of 1024 DNA compartments as artificial cells on a 5 × 5 mm 2 area. Homeostatic cell-free protein synthesis reactions driven by genetic circuits occur inside the compartments. We create a reaction-diffusion system with a 30 × 30 square lattice of artificial cells interconnected by thin capillaries for diffusion of products. We program the connected lattice with a synthetic genetic oscillator and observe collective oscillations. The microscopic dimensions of the unit cell and capillaries set the effective diffusion and coupling strength in the lattice, which in turn affects the macroscopic synchronization dynamics. Strongly coupled oscillators exhibit fast and continuous 2D fronts emanating from the boundaries, which generate smooth and large-scale correlated spatial variations of the oscillator phases. This opens a class of 2D genetically programmed nonequilibrium synthetic multicellular systems, where chemical energy dissipated in protein synthesis leads to large-scale spatiotemporal patterns., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

The rapid and reliable detection and quantification of nucleic acids is crucial for various applications, including infectious disease and cancer diagnostics. While conventional methods, such as the quantitative polymerase chain reaction are widely used, they are limited to the laboratory environment due to their complexity and the requirement for sophisticated equipment. In this study, we present a novel amplification-free digital sensing strategy by combining the collateral cleavage activity of the Cas12a enzyme with single-impact electrochemistry. In doing so, we modified silver nanoparticles using a straightforward temperature-assisted cofunctionalization process to subsequently detect the collision events of particles released by the activated Cas12a as distinct current spikes on a microelectrode array. The functionalization resulted in stable DNA-AgNP conjugates, making them suitable for numerous biosensor applications. Thus, our study demonstrates the potential of clustered regularly interspaced short palindromic repeats-based diagnostics combined with impact-based digital sensing for a rapid and amplification-free quantification of nucleic acids.

Long-read DNA sequencing has recently emerged as a powerful tool for studying both genetic and epigenetic architectures at single-molecule and single-nucleotide resolution. Long-read epigenetic studies encompass both the direct identification of native cytosine methylation and the identification of exogenously placed DNA N 6 -methyladenine (DNA-m6A). However, detecting DNA-m6A modifications using single-molecule sequencing, as well as coprocessing single-molecule genetic and epigenetic architectures, is limited by computational demands and a lack of supporting tools. Here, we introduce fibertools , a state-of-the-art toolkit that features a semisupervised convolutional neural network for fast and accurate identification of m6A-marked bases using Pacific Biosciences (PacBio) single-molecule long-read sequencing, as well as the coprocessing of long-read genetic and epigenetic data produced using either the PacBio or Oxford Nanopore Technologies (ONT) sequencing platforms. We demonstrate accurate DNA-m6A identification (>90% precision and recall) along >20 kb long DNA molecules with an ∼1000-fold improvement in speed. In addition, we demonstrate that fibertools can readily integrate genetic and epigenetic data at single-molecule resolution, including the seamless conversion between molecular and reference coordinate systems, allowing for accurate genetic and epigenetic analyses of long-read data within structurally and somatically variable genomic regions., (© 2024 Jha et al.; Published by Cold Spring Harbor Laboratory Press.)

Aging constitutes complex and dynamic alterations in molecular and physiological processes and is associated with numerous disorders, in part due to increased genetic instability. The aging population is projected to double by 2050, underscoring the urgent need to better understand the relationships between aging and age-related disorders. Repetitive DNA elements are intrinsic sources of genetic instability and have been found to co-localize with mutation hotspots in human cancer genomes. In this study, we explored the relationship between aging and DNA repeat-mediated genetic instability in vivo using an H-DNA-forming mirror-repeat sequence from the cancer-associated human c-MYC gene. Utilizing a unique mutation-reporter mouse model, we observed tissue-specific effects of aging on H-DNA-induced genetic instability, with mutation frequencies increasing in spleen tissues and remaining unchanged in testis tissues. Analysis of the mutation spectra revealed large deletion mutations as the primary contributor to increasing H-DNA-induced mutations, supported by increased cleavage activity of H-DNA structures in aged spleen tissues. Our findings demonstrate that aging has distinct tissue-specific effects on repeat-mediated, cancer-associated mutations, providing insights into the complex relationship between aging and cancer.

Understanding how genetic variants affect the epigenome is key to interpreting GWAS, yet profiling these effects across the non-coding genome remains challenging due to experimental scalability. This necessitates accurate computational models. Existing machine learning approaches, while progressively improving, are confined to the cell types they were trained on, limiting their applicability. Here, we introduce Enformer Celltyping, a deep learning model which incorporates distal effects of DNA interactions, up to 100,000 base-pairs away, to predict epigenetic signals in previously unseen cell types. Using DNA and chromatin accessibility data for epigenetic imputation, Enformer Celltyping outperforms current best-in-class approaches and generalises across cell types and biological regions. Moreover, we propose a framework for evaluating models on genetic variant effect prediction using regulatory quantitative trait loci mapping studies, highlighting current limitations in genomic deep learning models. Despite this, Enformer Celltyping can also be used to study cell type-specific genetic enrichment of complex traits., Competing Interests: Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

A genomic foundation model broadly enables sequence modeling, prediction, and design.

The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an organism's function. We present Evo, a long-context genomic foundation model with a frontier architecture trained on millions of prokaryotic and phage genomes, and report scaling laws on DNA to complement observations in language and vision. Evo generalizes across DNA, RNA, and proteins, enabling zero-shot function prediction competitive with domain-specific language models and the generation of functional CRISPR-Cas and transposon systems, representing the first examples of protein-RNA and protein-DNA codesign with a language model. Evo also learns how small mutations affect whole-organism fitness and generates megabase-scale sequences with plausible genomic architecture. These prediction and generation capabilities span molecular to genomic scales of complexity, advancing our understanding and control of biology.

In mammalian cells, DNA ligase 1 (LIG1) functions as the primary DNA ligase in both genomic replication and single-strand break repair. Several reported mutations in human LIG1, including R305Q, R641L, and R771W, cause LIG1 syndrome, a primary immunodeficiency. While the R641L and R771W mutations, respectively located in the nucleotidyl transferase and oligonucleotide binding domains, have been biochemically characterized and shown to reduce catalytic efficiency, the recently reported R305Q mutation within the DNA binding domain (DBD) remains mechanistically unexplored. The R641L and R771W mutations are known to decrease the catalytic activity of LIG1 by affecting both interdomain interactions and DNA binding during catalysis, without significantly impacting overall DNA affinity. To elucidate the molecular basis of the LIG1 syndrome-causing R305Q mutation, we purified this single-residue mutant protein and investigated its secondary structure, protein stability, DNA binding affinity, and catalytic efficiency. Our findings reveal that the R305Q mutation significantly impairs the function of LIG1 by disrupting the DBD-DNA interactions, leading to a 7-21-fold lower DNA binding affinity and a 33-300-fold reduced catalytic efficiency of LIG1. Additionally, the R305Q mutation slightly decreases LIG1's protein stability by 2 to 3.6 °C, on par with the effect observed previously with either the R641L or R771W mutant. Collectively, our results uncover a new mechanism whereby the R305Q mutation impairs LIG1-catalyzed nicked DNA ligation, resulting in LIG1 syndrome, and highlight the crucial roles of the DBD-DNA interactions in tight DNA binding and efficient LIG1 catalysis., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The efficient analysis and interpretation of biological sequence data remain major challenges in bioinformatics. Graphical representation, as an emerging and effective visualization technique, offers a more intuitive method for analyzing DNA sequences. However, many visualization approaches are dispersed across research databases, requiring urgent organization, integration, and analysis. Additionally, no single visualization method excels in all aspects. To advance these methods, knowledge graphs and advanced machine learning techniques have become key areas of exploration. This paper reviews the current 2D and 3D DNA sequence visualization methods and proposes a new research direction focused on constructing knowledge graphs for biological sequence visualization, explaining the relevant theories, techniques, and models involved. Additionally, we summarize machine learning techniques applicable to sequence visualization, such as graph embedding methods and the use of convolutional neural networks (CNNs) for processing graphical representations. These machine learning techniques and knowledge graphs aim to provide valuable insights into computational biology, bioinformatics, genomic computing, and evolutionary analysis. The study serves as an important reference for improving intelligent search systems, enriching knowledge bases, and enhancing query systems related to biological sequence visualization, offering a comprehensive framework for future research.

Many DNA metabolic pathways, including DNA repair, require the transmission of signals across long stretches of DNA or between DNA molecules. Solutions to this signaling challenge involve various mechanisms: protein factors can travel between these sites, loop DNA between sites, or form oligomers that bridge the spatial gaps. This review provides an overview of how these paradigms have been used to explain DNA mismatch repair, which involves several steps that require action-at-a-distance. Here, we describe these models in detail and how current data fit into these descriptions. We also outline regulation steps that remain unanswered in how the action is communicated across long distances along a DNA contour in DNA mismatch repair.

Background: There is an assumption about the presence of a specific nucleotides sequence in DNA molecule, which contributes to the genesis of open states (OS). In addition, it would be logical to assume that OS zones should form in DNA regions with a large proportion of Adenine-Thymine (AT) pairs, since they contain fewer hydrogen bonds than Guanine- Cytosine (GC) base pairs. However, studies have shown that in areas rich in AT pairs, the probability of open states will not always be higher., Methods: In this work, for two genes containing different numbers of regions with a large AT pairs proportion, we calculated the ratio of AT and GC pairs in the OS zones. For calculations, we used a coarse-grained angular mechanical DNA model., Results: It has been established that small OS zones can appear on any part of the DNA molecule. They mainly consist of AT pairs, but as the size of OS zones increases, the content of AT pairs in them decreases., Conclusions: The occurrence of long-length OS zones is "tied" to regions of the DNA molecule with a large proportion of AT pairs; if there are several such areas, then, depending on the magnitude of the torque, OS zones can arise in different areas of the gene. Thus, the genesis probability of large OS zones in a DNA segment depends not only on the "strength" of the nucleotide sequence of this area, but also on the factors determining the dynamics of DNA., (© 2024 The Author(s). Published by IMR Press.)

DNBSEQ employs a patterned array to facilitate massively parallel sequencing of DNA nanoballs (DNBs), leading to a considerable boost in throughput. By employing the ultra-high-density (UHD) array with an increased density of DNB binding sites, the throughput of DNBSEQ can be further expanded. However, the typical imaging system of the DNBSEQ sequencer is unable to resolve adjacent DNBs spaced smaller than the resolution limit, resulting in poor base-calling performance of the UHD array and hindering its practical application. In this study, we propose a deep-learning-based DNB image super-resolution network named DNBSRN to address this problem. DNBSRN has a specifically designed structure for DNB images and employs a histogram-matching-based preprocessing approach. For the eight DNB image datasets generated from the DNBSEQ sequencer using UHD arrays with 360 nm pitch, the base-calling performances are significantly improved after super-resolution reconstruction by DNBSRN and reached a comparable level to those of the regular density array. In terms of reconstruction speed, DNBSRN takes only 7.61 ms for an input image with 500 × 500 pixels, which minimizes its influence on throughput. Furthermore, compared with state-of-the-art super-resolution networks, DNBSRN demonstrates superior performance in terms of both the quality and speed of DNB image reconstruction. DNBSRN successfully addresses the DNB image super-resolution task. Integrating DNBSRN into the image analysis workflow of DNBSEQ will allow for the application of UHD array, hence enabling a considerable improvement in throughput as well as tremendous savings in unit reagent cost., Competing Interests: Competing interests DNBSRN is covered by a pending patent. Zhiwei Zhai, Hao Zhang, Zeyu Su, Yang Liu, Hongmin Chen, Yuxiang Li, and Mengzhe Shen are employees of BGI Research, a subsidiary of BGI Group. Junfeng Li declare no competing interests., (© 2024. The Author(s).)

Generally, rolling circle amplification (RCA) is based on an enzyme-linked padlock extension reaction. Herein, rapid linking that utilizes click chemistry for joining sticky ends of DNA molecules was developed. The ends of nucleic acid were modified with 2-cyano-6-aminobenzothiazole (CBT) and cystine (Cys-Cys), while glutathione was introduced to break the disulfide bond under target navigation and promote the linkage between CBT and Cys at the terminus of the nucleic acid at pH 7.4. Subsequently, RCA was performed using phi29 polymerase. CRISPR/Cas12a cleavage was triggered by the product of RCA amplification. Assisted by alkaline phosphatase, the electron exchange process between the photoelectroactive Sb@Co(OH)F nanorod and p -aminophenol ( p -AP) was collected in the form of photoelectrochemical (PEC) signals. Mass spectrometry, gel electrophoresis, and PEC signals were employed to verify the linking process and the RCA coupled with CRISPR/Cas12a cleavage amplification. CBT-Cys connection exhibited a high reaction rate (23.79 M -1 ·s -1 ). This enzyme-free linking process was superior to traditional enzyme catalysis in terms of the reaction environment and linking rate. This efficient nonenzymatic joining system holds great potential for constructing nonhomologous end joining, modifying DNA with molecules, and facilitating nucleic acid-protein modification processes.

Poly(β-amino ester) (PBAE) nanoparticles (NPs) show great promise for nonviral gene delivery. Recent studies suggest branched PBAEs (BPBAEs) offer advantages over linear counterparts, but the effect of polymer structure has not been well investigated across many chemical constituents. Here, a library of BPBAEs was synthesized with tri- and tetrafunctional branching. These polymers self-assemble with DNA to form highly cationic, monodisperse NPs with notably small size (∼50 nm). Optimal transfection occurred with polymer structures that featured moderate PBAE branching, enabling complete DNA encapsulation, rapid NP uptake, and robust expression at low DNA doses and polymer amounts. Optimized NPs enabled efficient DNA delivery to diverse cell types in vitro while maintaining high cellular viability, demonstrating significant improvements over a well-performing linear PBAE counterpart. BPBAEs also facilitated efficient mRNA and siRNA delivery, highlighting the versatility of these structures and demonstrating the broad utility of BPBAE NPs as vectors for nucleic acid delivery.

DNA ligase 1 (LIG1) joins Okazaki fragments during the nuclear replication and completes DNA repair pathways by joining 3'-OH and 5'-PO4 ends of nick at the final step. Yet, the mechanism of how LIG1 searches for a nick at single-molecule level is unknown. Here, we combine single-molecule fluorescence microscopy approaches, C-Trap and total internal reflection fluorescence (TIRF), to investigate the dynamics of LIG1-nick DNA binding. Our C-Trap data reveal that DNA binding by LIG1 full-length is enriched near the nick sites and the protein exhibits diffusive behavior to form a long-lived ligase/nick complex after binding to a non-nick region. However, LIG1 C-terminal mutant, containing the catalytic core and DNA-binding domain, predominantly binds throughout DNA non-specifically to the regions lacking nick site for shorter time. These results are further supported by TIRF data for LIG1 binding to DNA with a single nick site and demonstrate that a fraction of LIG1 full-length binds significantly longer period compared to the C-terminal mutant. Overall comparison of DNA binding modes provides a mechanistic model where the N-terminal domain promotes 1D diffusion and the enrichment of LIG1 binding at nick sites with longer binding lifetime, thereby facilitating an efficient nick search process., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Humans are exposed to DNA alkylating agents through endogenous metabolism, environmental exposure and cancer chemotherapy. The resulting alkylated DNA adducts may elicit genome instability by perturbing DNA replication and transcription. R-loops regulate various cellular processes, including transcription, DNA repair, and telomere maintenance. However, unscheduled R-loops are also recognized as potential sources of DNA damage and genome instability. In this study, by employing fluorescence microscopy and R-loop sequencing approaches, we uncovered, for the first time, that minor-groove N2-alkyl-dG lesions elicit elevated R-loop accumulation in chromatin and in plasmid DNA in cells. We also demonstrated that the N2-alkyl-dG-induced R-loops impede transcription elongation and compromise genome integrity. Moreover, genetic depletion of DDX23, a R-loop helicase, renders cells more sensitive toward benzo[a]pyrene diolepoxide, a carcinogen that induces mainly the minor-groove N2-dG adduct. Together, our work unveiled that unrepaired minor-groove N2-alkyl-dG lesions may perturb genome integrity through augmenting R-loop levels in chromatin. Our findings suggest a potential therapeutic strategy involving the combination of R-loop helicase inhibitors with DNA alkylating drugs., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Self-assembling DNA nanoparticles have the potential to significantly advance the targeted delivery of molecular cargo owing to their chemical and architectural flexibility. Recently, it has been demonstrated that the genetic code embedded in DNA nanoparticles produced by the method of DNA origami or related techniques can be recognized and copied by RNA polymerase in vitro. Further, sculpted DNA nanoparticles can serve as a substrate for Cas9-mediated gene modification and gene expression in cell culture. In the present study, we further investigate the ability of DNA origami nanoparticles to be expressed in a human cell line with emphasis on the impact of single-stranded DNA (ssDNA) domains and the contributions of the architectural disposition of genetic control elements, namely promoter and enhancer sequences. Our findings suggest that while cells possess the remarkable capability to express genes within highly folded architectures, the presence and relative density and location of ssDNA domains appears to influence overall levels of gene expression. These results suggest that it may be possible to nuance folded DNA nanoparticle architecture to regulate the rate and/or level of gene expression. Considering the highly malleable architecture and chemistry of self-assembling DNA nanoparticles, these findings motivate further exploration of their potential as an economic nanotechnology platform for targeted gene editing, nucleic acid-based vaccines, and related biotherapeutic applications., (© 2024. The Author(s).)

Ecological surveys of living things based on DNAs from environmental samples are attractive. However, despite simplicity of water sampling from the target environment, it is still necessary to transport the samples to the laboratory for DNA analysis based on skillful next-generation sequencers. To perform DNA-oriented surveys based on a simple protocol without any special training, we demonstrated, in this study, the detection of genes from cell-containing environmental waters using gene sensor arrays that require no DNA labeling and no external indicators. Cell-suspended PBS or river water were used as models of environmental waters containing living things, and DNA samples were prepared by PCR amplification. Ferrocene-terminated probes were synthesized and immobilized on an electrode array to develop a sensor array. The sensor array showed a large response to a target DNA complementary to the probe and no response to a mismatched DNA, indicating sequence-specific detection. For DNA samples prepared from the cells in PBS, they showed good responses similar to those for the target DNA. They also significantly detected DNA samples from the cells in river water at a general environmental concentration (38 cells mL -1 ) with 28-fold larger responses than those for 0 cells mL -1 .

CRISPR-Cas12a system, characterized by its precise sequence recognition and cleavage activity, has emerged as a powerful and programmable tool for molecular diagnostics. However, current CRISPR-Cas12a-based nucleic acid detection methods, particularly microRNA (miRNA) detection, necessitate additional bio-engineering strategies to exert control over Cas12a activity. Herein, we propose an engineered target-responsive hairpin DNA activator (TRHDA) to mediate forward tearing protospacer activated CRISPR-Cas12a system, which enables direct miRNA detection with high specificity and sensitivity. Target miRNA specifically binding to hairpin DNA can drive forward tearing protospacer in the stem sequence of hairpin structure, facilitating the complementarity between crRNA spacer and protospacer to activate Cas12a. Upon the hairpin DNA as input-responsive activator of Cas12a, a universal biosensing method enables the multiple miRNAs (miR-21, let-7a, miR-30a) detection and also has exceptional capability in identifying single-base mismatches and distinguishing homologous let-7/miR-30 family members. Besides, TRHDA-mediated Cas12a-powered biosensing has realized the evaluation of miR-21 expression levels in diverse cellular contexts by intracellular imaging. Considering the easy programmability of hairpin DNA in responsive region, this strategy could expand for the other target molecules detection (e.g., proteins, micromolecules, peptides, exosomes), which offers significant implications for biomarkers diagnostics utilizing the CRISPR-Cas12a system toolbox., (© 2024. The Author(s).)

Pioneer transcription factors (TFs) bind to and open closed chromatin, facilitating engagement by other regulatory factors involved in gene activation or repression. Chemical probes are lacking for pioneer TFs, which has hindered their mechanistic investigation in cells. Here, we report the chemical proteomic discovery of electrophilic compounds that stereoselectively and site-specifically bind the pioneer TF forkhead box protein A1 (FOXA1) at a cysteine (C258) within the forkhead DNA-binding domain. We show that these covalent ligands react with FOXA1 in a DNA-dependent manner and rapidly remodel its pioneer activity in prostate cancer cells reflected in redistribution of FOXA1 binding across the genome and directionally correlated changes in chromatin accessibility. Motif analysis supports a mechanism where the ligands relax the canonical DNA-binding preference of FOXA1 by strengthening interactions with suboptimal sequences in predicted proximity to C258. Our findings reveal a striking plasticity underpinning the pioneering function of FOXA1 that can be controlled by small molecules., Competing Interests: Declaration of interests B.F.C. is a scientific advisor to Vividion Therapeutics. M.A.E. holds equity in Nexo Therapeutics and serves on their scientific advisory board., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Conventional methods for detecting single nucleotide polymorphisms (SNPs) in clinical practice often require substantial time, labor, and specialized equipment, limiting their widespread application. To address this limitation, we refined our previous SNP detection method, IMAS-RPA [introducing an extra mismatched base adjacent to the single-base mutant site by recombinase polymerase amplification (RPA)], resulting in an updated version termed IMAS-RPAv2. We began by introducing a suboptimal protospacer adjacent motif (PAM) sequence, GTTG, into the double-stranded DNA (dsDNA) products using either RPA or reverse transcription RPA. This modification decreased the efficiency with which CRISPR RNA (crRNA) recognizes the PAM and locally unwinds the dsDNA to form an R loop. After a delay, the R loop forms. However, due to the intentional incorporation of a mismatched base on the crRNA relative to the wild-type double-stranded DNA (WT-dsDNA), a continuous two-base mismatch is established between the crRNA and WT-dsDNA. Consequently, WT-dsDNA does not activate CRISPR/Cas12a's cleavage activity within a short time, while variant-type dsDNA continues to activate CRISPR/Cas12a and produce a robust fluorescence signal. This improvement significantly enhances the SNP discrimination sensitivity, allowing for detection at the single-copy level. Results were observed using both a conventional microplate reader and a specially designed portable device created through 3D printing. This device allows a direct fluorescence observation without the need for additional equipment. Consequently, the entire detection process becomes independent of large-scale equipment. This greatly expands its range of applications and offers promising prospects for clinical use.

Cytosine base editing is a powerful tool for making precise single nucleotide changes in cells and model organisms like zebrafish, which are valuable for studying human diseases. However, current base editors struggle to edit cytosines in certain DNA contexts, particularly those with GC and CC pairs, limiting their use in modelling disease-related mutations. Here we show the development of zevoCDA1, an optimized cytosine base editor for zebrafish that improves editing efficiency across various DNA contexts and reduces restrictions imposed by the protospacer adjacent motif. We also create zevoCDA1-198, a more precise editor with a narrower editing window of five nucleotides, minimizing off-target effects. Using these advanced tools, we successfully generate zebrafish models of diseases that were previously challenging to create due to sequence limitations. This work enhances the ability to introduce human pathogenic mutations in zebrafish, broadening the scope for genomic research with improved precision and efficiency., (© 2024. The Author(s).)

Background: TRIzolTM is widely used for RNA and DNA extraction. However, this method is laborious and time-consuming. The objective of this study was to validate a time-effective and labor-saving protocol., Methods: The TRIzol method was used to separate the aqueous phase, protein, and phenol layer of bone marrow samples from 12 patients with hematological diseases. Subsequently, RNA and DNA were extracted from the aqueous layer containing RNA and phenol layer containing DNA, respectively, using magnetic bead extraction kits. The quantity and purity of extracted RNA and DNA were examined using a NanoDrop spectrophotometer. Quantitative fluorescence PCR amplification of the ABL1 gene was performed to verify the effectiveness of the extracted RNA and DNA for downstream experiments. RNA and DNA from another 16 bone marrow samples were extracted to compare the performance of the two methods., Results: Co-extraction of RNA and DNA was completed within 1 h. The data showed that RNA and DNA yield ranged from 13.1 to 204.5 ng/µL and 33.1 to 228.8 ng/µL, respectively. The A260/A280 ratios of RNA and DNA samples ranged from 1.82 to 2.01 and 1.73 to 1.91, respectively. RNA and DNA extracted using this scheme exhibited ideal performance in quantitative fluorescence PCR. The present protocol showed better quality and effectiveness in extracting RNA and DNA compared to the TRIzol method., Conclusions: This protocol for RNA and DNA co-extraction is fast, labor-saving, and high throughput. It can be adopted for routine molecular biology analyses, particularly for non-reproducible specimens., (© Association for Diagnostics & Laboratory Medicine 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Circularization for In Vitro Reporting of Cleavage Effects by Sequencing (CIRCLE-seq) is a novel technique developed for the impartial identification of unintended cleavage sites of CRISPR-Cas9 through targeted sequencing of CRISPR-Cas9 cleaved DNA. The protocol involves circularizing genomic DNA (gDNA), which is subsequently treated with the Cas9 protein and a guide RNA (gRNA) of interest. Following treatment, the cleaved DNA is purified and prepared as a library for Illumina sequencing. The sequencing process generates paired-end reads, offering comprehensive data on each cleavage site. CIRCLE-seq provides several advantages over other in vitro methods, including minimal sequencing depth requirements, low background, and high enrichment for Cas9-cleaved gDNA. These advantages enhance sensitivity in identifying both intended and unintended cleavage events. This study provides a comprehensive, step-by-step procedure for examining the off-target activity of CRISPR-Cas9 using CIRCLE-seq. As an example, this protocol is validated by mapping genome-wide unintended cleavage sites of CRISPR-Cas9 during the modification of the AAVS1 locus. The entire CIRCLE-seq process can be completed in two weeks, allowing sufficient time for cell growth, DNA purification, library preparation, and Illumina sequencing. The input of sequencing data into the CIRCLE-seq pipeline facilitates streamlined interpretation and analysis of cleavage sites.

This Perspective surveys the critical computational challenges associated with in vitro DNA-based data storage. As digital data expand exponentially, traditional storage media are becoming less viable, making DNA a promising solution due to its density and durability. However, numerous obstacles remain, including error correction, data retrieval from large volumes of noisy reads, and scalability. The Perspective also highlights challenges for DNA-based data centers, such as fault tolerance, random access, and data removal, which must be addressed to make DNA-based storage practical., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. Springer Nature America, Inc.)

Repeat expansion disorders (REDs) encompass over 50 inherited neurological disorders and are characterized by the expansion of short tandem nucleotide repeats beyond a specific repeat length. Particularly intriguing among these are multiple fragile X-associated disorders (FXds), which arise from an expansion of CGG repeats in the 5' untranslated region of the FMR1 gene. Despite arising from repeat expansions in the same gene, the clinical manifestations of FXds vary widely, encompassing developmental delays, parkinsonism, dementia, and an increased risk of infertility. FXds also exhibit molecular mechanisms observed in other REDs, that is, gene- and protein-loss-of-function and RNA- and protein-gain-of-function. The heterogeneity of phenotypes and pathomechanisms in FXds results from the different lengths of the CGG tract. As the number of repeats increases, the structures formed by RNA and DNA fragments containing CGG repeats change significantly, contributing to the diversity of FXd phenotypes and mechanisms. In this review, we discuss the role of RNA and DNA structures formed by expanded CGG repeats in driving FXd pathogenesis and how the genetic instability of CGG repeats is mediated by the complex interplay between transcription, DNA replication, and repair. We also discuss therapeutic strategies, including small molecules, antisense oligonucleotides, and CRISPR-Cas systems, that target toxic RNA and DNA involved in the development of FXds., (© 2024 The Author(s). WIREs RNA published by Wiley Periodicals LLC.)

RNA polymerase III (Pol III) transcribes tRNA genes using type II promoters. The internal control regions contain a Box A and a Box B, which are recognized by TFIIIC. The 5'-flanking regions of tRNA genes clearly play a role in the regulation of transcription, but consensus sequences in it have been found only in some plants and S. pombe ; although, the TATA binding protein (TBP) is a component of the TFIIIB complex in all eukaryotes. Archaea utilize an ortholog of the TBP. The goal of this work is the detection of the positions of intragenic and extragenic promoters of Pol III, which regulate the transcription of tRNA genes in eukaryotes and archaea. For this purpose, we analyzed textual and some structural, mechanical, and physicochemical properties of the DNA in the 5'-flanking regions of tRNA genes, as well as in 30 bp at the beginning of genes and 60 bp at the end of genes in organisms possessing the TBP or its analog (eukaryotes, archaea) and organisms not possessing the TBP (bacteria). Representative tRNA gene sets of 11 organisms were taken from the GtRNAdb database. We found that the consensuses of A- and B-boxes in organisms from all three domains are identical; although, they differ in the conservativism of some positions. Their location relative to the ends of tRNA genes is also identical. In contrast, the structural and mechanical properties of DNA in the 5'-flanking regions of tRNA genes differ not only between organisms from different domains, but also between organisms from the same domain. Well-expressed TBP binding positions are found only in S. pombe and A. thaliana . We discuss possible reasons for the variability of the 5'-flanking regions of tRNA genes.

The chromosomal theory of inheritance dictates that genes on the same chromosome segregate together while genes on different chromosomes assort independently 1 . Extrachromosomal DNAs (ecDNAs) are common in cancer and drive oncogene amplification, dysregulated gene expression and intratumoural heterogeneity through random segregation during cell division 2,3 . Distinct ecDNA sequences, termed ecDNA species, can co-exist to facilitate intermolecular cooperation in cancer cells 4 . How multiple ecDNA species within a tumour cell are assorted and maintained across somatic cell generations is unclear. Here we show that cooperative ecDNA species are coordinately inherited through mitotic co-segregation. Imaging and single-cell analyses show that multiple ecDNAs encoding distinct oncogenes co-occur and are correlated in copy number in human cancer cells. ecDNA species are coordinately segregated asymmetrically during mitosis, resulting in daughter cells with simultaneous copy-number gains in multiple ecDNA species before any selection. Intermolecular proximity and active transcription at the start of mitosis facilitate the coordinated segregation of ecDNA species, and transcription inhibition reduces co-segregation. Computational modelling reveals the quantitative principles of ecDNA co-segregation and co-selection, predicting their observed distributions in cancer cells. Coordinated inheritance of ecDNAs enables co-amplification of specialized ecDNAs containing only enhancer elements and guides therapeutic strategies to jointly deplete cooperating ecDNA oncogenes. Coordinated inheritance of ecDNAs confers stability to oncogene cooperation and novel gene regulatory circuits, allowing winning combinations of epigenetic states to be transmitted across cell generations., (© 2024. The Author(s).)

Extrachromosomal DNA (ecDNA) is a major contributor to treatment resistance and poor outcome for patients with cancer 1,2 . Here we examine the diversity of ecDNA elements across cancer, revealing the associated tissue, genetic and mutational contexts. By analysing data from 14,778 patients with 39 tumour types from the 100,000 Genomes Project, we demonstrate that 17.1% of tumour samples contain ecDNA. We reveal a pattern highly indicative of tissue-context-based selection for ecDNAs, linking their genomic content to their tissue of origin. We show that not only is ecDNA a mechanism for amplification of driver oncogenes, but it also a mechanism that frequently amplifies immunomodulatory and inflammatory genes, such as those that modulate lymphocyte-mediated immunity and immune effector processes. Moreover, ecDNAs carrying immunomodulatory genes are associated with reduced tumour T cell infiltration. We identify ecDNAs bearing only enhancers, promoters and lncRNA elements, suggesting the combinatorial power of interactions between ecDNAs in trans. We also identify intrinsic and environmental mutational processes linked to ecDNA, including those linked to its formation, such as tobacco exposure, and progression, such as homologous recombination repair deficiency. Clinically, ecDNA detection was associated with tumour stage, more prevalent after targeted therapy and cytotoxic treatments, and associated with metastases and shorter overall survival. These results shed light on why ecDNA is a substantial clinical problem that can cooperatively drive tumour growth signals, alter transcriptional landscapes and suppress the immune system., (© 2024. The Author(s).)

Gene expression emerges from DNA sequences through the interaction of transcription factors (TFs) with DNA cis-regulatory sequences. In eukaryotes, TFs bind to transcription factor binding sites (TFBSs) with differential affinities, enabling cell-specific gene expression. In this view, DNA enables TF binding along a continuum ranging from low to high affinity depending on its sequence composition; however, it is not known whether evolution has entailed a further level of entanglement between DNA-protein interaction. Here we found that the composition and length (22 bp) of the DNA sequence interposed between the CRX and NRL retinal TFs in the proximal promoter of RHODOPSIN (RHO) largely controls the expression levels of RHO. Mutagenesis of CRX-NRL DNA linking sequences (here termed "DNA-linker") results in uncorrelated gene expression variation. In contrast, mutual exchange of naturally occurring divergent human and mouse Rho cis-regulatory elements conferred similar yet species-specific Rho expression levels. Two orthogonal DNA-binding proteins targeted to the DNA-linker either activate or repress the expression of Rho depending on the DNA-linker orientation relative to the CRX and NRL binding sites. These results argue that, in this instance, DNA itself contributes to CRX and NRL activities through a code based on specific base sequences of a defined length, ultimately determining optimal RHO expression levels., (© 2024. The Author(s).)