Methods

Summary/AbstractTelomere length has a significant impact on human health. Short telomeres cause age-related diseases, including pulmonary fibrosis, immunodeficiency, and bone marrow failure, while long telomeres predispose to cancer. Given the impact on human health, accurately measuring telomere length is important. A variety of methods have been developed over the past 40 years to measure telomere length. Many of these methods report only on the mean length of all of the telomere in the cell. Here, we describe the Telomere Profiling protocol using Oxford Nanopore Technologies (ONT) based on long read sequencing that can accurately measure chromosome specific telomere length.

High content CRISPR screens have become a leading method for the identification of new cellular pathways, proteins functions, and drug targets. However, as the complexity of these screens increase, so does the possibility of artifacts. Here, we describe a refined CRISPR screening protocol that can compare acute cellular responses across multiple cellular treatments and timepoints, while reducing false positives by up to 40% compared to conventional screening approaches. This is achieved through the use of a fluorescence-based reporter line responsive to multiple stressors, as well as a fixation step to preserve acute response differences and avoid sorting-related false positives. We recently performed a version of this workflow to compare kinases regulating different types of selective autophagy, including starvation-induced autophagy, ERphagy, and pexophagy. Beyond autophagy research, this screen approach can be implemented for any fluorescence-based screen where preservation of acute cellular responses is important. Here we present a complete workflow of this optimized screening protocol using our selective autophagy screen as a specific example throughout. Implementation of these strategies should allow researchers to increase the number of stressors tested within a single screen without sacrificing cell health, reliability, or statistical power.

High-throughput enzymology enables quantitative characterization of enzyme function across hundreds to thousands of sequence variants and experimental conditions. Nevertheless, the scale and complexity of these datasets create substantial challenges for analysis and quality control. High-Throughput Microfluidic Enzyme Kinetics (HT-MEK), for example, generates large microscopy datasets that must pass through multiple analytical stages, including image processing, initial-rate fitting, and kinetic modeling. Choices or errors made at any stage can propagate into the final kinetic parameters without being evident from fit statistics alone. Here, we provide a broadly applicable guide for analyzing high-throughput enzymology data from the HT-MEK platform, using Michaelis-Menten kinetics as a representative example. We first outline the conceptual workflow from raw fluorescence measurements to estimates of kcat, KM, and kcat/KM. We then discuss common experimental and analytical failure modes and present a framework for deciding when data should be refitted, filtered, qualified, or repeated. Finally, we provide a step-by-step workflow using Mercury, an open-source Python framework that integrates scalable HT-MEK data processing with traceable quality control and diagnostic visualization. This workflow preserves the connection between reported parameters and their underlying measurements and can be adapted to other kinetic models and biochemical assays.

Understanding how the three-dimensional (3D) organization of the genome relates to chromatin and epigenetic landscapes requires methods capable of measuring chromosomal DNA interactions and chromatin modifications in an integrated manner. Current approaches typically use separate assays to assess chromatin conformation and epigenetic state, thus these features are not assessed on the same DNA molecules. Here, we describe Epi-PoreC, an Oxford Nanopore long-read sequencing-based method that combines the chromosome conformation capture method, PoreC with Fiber-seq, a method for detecting accessible chromatin regions based on their ability to be labeled using an exogenous adenosine methyltransferase. The positions of chromosome contacts, 6-methyladenosines, and endogenous 5-methylcytosines are then detected by nanopore sequencing, all on the same DNA molecules. Using Arabidopsis thaliana nuclei, we demonstrate that Epi-PoreC yields genome-wide chromatin contact maps comparable to those obtained by standard PoreC and DNA methylation and accessibility profiles comparable to standard Fiber-seq experiments. Epi-PoreC is thus an efficient means for conducting epigenetic and 3D genome profiling on individual DNA sequences in a single assay.

We present a simple and efficient way to add cis dialdehydes, phosphoryl groups, or cis diols to the 3 prime end of oligonucleotides using periodate oxidized nucleotides (oNTPs) and terminal deoxynucleotidyl transferase (TdT). The 3 prime end cis dialdehyde-modified oligos are generated by incubating TdT with an oligo for several minutes followed by addition of a oNTP and incubated at 30 degrees C for 30 minutes to an hour. After allowing the addition of the cis dialdehydes, heating the reaction mixture at 90 to 95 degrees C for 10 minutes yields oligonucleotides with 3 prime phosphoryl groups. The 3 prime cis diol modified oligos are synthesized by starting with 3 prime cis diol nucleotides (HO-NTPs). The cis dialdehyde modified oligonucleotides and cis diols may then be used for a variety of investigations such as studying the interaction of proteins with the 3 prime end of DNA, and possibly RNA. As an example, we demonstrate the efficacy of using an oligonucleotide modified with oGMP at the 3 prime end as an affinity label for TdT and identified a peptide fragment that has been shown to contain two of three aspartate residues found to be in the TdT active site.

Bacterial sortases are widely used in sortase-mediated ligation (SML) experiments for various protein engineering applications. The power of these enzymes to bind and cleave a specific recognition motif, followed by ligation to another substrate using a ping-pong reaction mechanism has numerous applications in vaccine and antibody/nanobody drug conjugate development, as a diagnostic and therapeutic tool, in creating novel insulin derivatives, etc. The most widely used sortase for SML is the class A sortase (SrtA) from Staphylococcus aureus (saSrtA), and its engineered derivatives. Despite its utility, saSrtA and other endogenous sortases are relatively inefficient enzymes and use can be limited by the need for specific recognition of the Cell Wall Sorting Signal (CWSS), sequence Leu-Pro-X-Thr-Gly, where X=any amino acid. Therefore, there is a need to continue to identify new tools for SML and to develop screening assays towards these endeavors. Here, we present optimization procedures for a FRET-based assay utilizing the GFP derivatives mTurquoise2 and SYFP2 to directly monitor formation of ligation products generated via SML. Similar to related assays, our recombinant substrates can be easily manipulated to screen either the substrate recognition motif, second substrate nucleophile, and/or sortase variants themselves. We believe continued optimization of this assay for a variety of high throughput uses in sortase screening strategies is possible, providing a proof-of-concept approach for continued SML reagent development.

Living cells are highly dynamic and densely crowded environments in which organelles such as vesicles undergo continuous motion that is essential for cellular processes. Therefore, accurate tracking of individual organelles is crucial for understanding intercellular dynamics and functions. However, precise tracking of individual organelles in living cells remains challenging due to high organelle densities, frequent particle overlap, and the coexistence of stationary and motile organelles. In particular, stationary organelles can obscure the trajectories of moving organelles, leading to tracking errors and fragmented tracks. To overcome these challenges, we developed Multiple Particle Tracking via Velocity Filtering (MPT-vVF), an unbiased, semi-automated tracking framework that incorporates a mathematically derived velocity-filtering algorithm to selectively identify and track moving organelles with high accuracy in crowded intracellular environments. MPT-vVF integrates denoising, background subtraction, and a velocity-matching detection step that discriminates true particle motion from noise based on spatiotemporal continuity, followed by robust trajectory linking. We demonstrate that MPT-vVF can accurately resolve nanometer-scale displacements of immobilized beads, highlighting its high tracking precision. We also validate the robustness of MPT-vVF by quantifying the transport of brain-derived neurotrophic factor (BDNF)-mRFP-containing vesicles in living hippocampal neurons. Furthermore, MPT-vVF reveals that exposure to 50-nm nanoplastics impairs vesicular transport, reducing both travel length and speed of BDNF-containing vesicles in living neurons. These findings establish MPT-vVF as a powerful method for quantitative analysis of intracellular organelles in crowded living cells and suggest its broad application to biophysics, cell biology, and soft matter research.

With the rapid development of modern biotechnology, DNA vectors have become fundamental tools for inserting, transferring, and expressing specific gene sequences in various fields such as gene cloning, gene expression, gene editing, and gene therapy. However, when dealing with complex structured DNA sequences, traditional vector construction methods face challenges with low connection efficiency. This study proposes a new method for constructing recombinant vectors by employing a strategy of high-temperature treatment followed immediately by placement on ice, effectively reducing the complexity of DNA structures and enhancing the efficiency of PCR product-vector connection, thereby improving the construction efficiency of recombinant vectors. This paper describes the technical details of the method, experimental validation, and applications in gene cloning, gene recombination editing, and the preparation of gene therapy drugs, providing a new efficient tool for molecular biology experiments.

Antisense oligonucleotides (ASO) are nucleotide polymers that hybridize to sense strands and have been successful in treating a variety of diseases. A wide range of strategies have been investigated to optimize and develop ASO for clinical studies. A key objective for this study was to provide an overview of the range of detailed data that get be obtained and provide an updated method review on how to design surface plasmon resonance (SPR) kinetic experiments for DNA oligonucleotide hybridization studies that can also be applied to other ASO including peptide nucleic acids (PNA). We describe many lessons learned from published literature and provide a state-of-the-art strategy and methods for generating not only kinetic but also thermodynamic characterizations of oligonucleotide hybridization. In this study we have performed an SPR kinetic and thermodynamic analysis for the hybridization of HIF1 antisense DNA strands to its immobilized Intron2-Exon3 splice site sense DNA strand to provide insight, in general, on the optimal length and insight into optimal design of DNA ASOs. We provide a process on how to design experiments to: 1.) obtain oligonucleotide-length dependent kinetics, 2.) analyze reactions to obtain association and dissociation rate kinetics (ka, kd), assess if hybridization follows a 2-state model and to obtain kinetic dissociation constants (Kd), 3.) perform temperature-dependent hybridization kinetics to obtain thermodynamic values ({Delta}H{degrees}, {Delta}S{degrees} and {Delta}G{degrees}) that can give insight into the molecular interactions driving hybridization, 4.) compare experimental thermodynamic values to values derived from nearest-neighbor prediction models to identify atypical reactions and importantly 5.) enable calculations to predict oligomer hybridization affinity at the physiological 37 {degrees}C temperature to asses if the design of the oligomer will have the required cellular activity for a therapeutic effect. The strategy and results presented throughout the paper are compared to previous SPR reports and suggestions made to optimize kinetic studies.

Chromatin profiling methods, such as ChIP-seq (chromatin immunoprecipitation followed by sequencing), are used to characterize the genomic localization of DNA-associated proteins. While ChIP and ChIP-seq have been used for decades, an orthogonal approach, CUT&Tag (Cleavage Under Targets and Tagmentation), is gaining popularity as an efficient and cost-effective alternative. Although previous comparative studies note discrepancies in signal-to-noise ratios and detection bias at certain genomic regions, many differences between ChIP-seq and CUT&Tag results remain largely unreconciled. Here, we systematically investigate the disagreeing signals captured by these two methods across well annotated genomic regions. We assess multiple histone mark profiles generated by different groups in two cell lines (K562 and MCF-7). Overall, our analysis indicates that compared to ChIP-seq, CUT&Tag may have limited sensitivity in low-GC environments and, as previously observed, increased signal in hyper-accessible chromatin. Notably, within GC-poor regions of active gene bodies and Polycomb-repressed domains, CUT&Tag exhibits a loss of H3K36me3 and H3K27me3 signal, respectively, where occupancy of these histone marks is otherwise expected. Further, active promoters with discrepant H3K4me3 and H3K27ac signal between the two assays differ systematically in GC content and chromatin accessibility. Promoters differentially enriched for CUT&Tag signal relative to ChIP-seq generally show higher, broader GC-content profiles and higher DNase-seq and ATAC-seq signal, while promoters enriched for ChIP-seq signal harbor the opposite characteristics. A local bias for high GC content and/or chromatin accessibility in CUT&Tag may also explain its differing signal patterns at nucleosome-depleted regions (NDRs) compared to ChIP-seq and MNase-seq promoter profiles. Altogether, our results highlight that studies focused on profiling the intensity and structure of histone modification occupancy can be sensitive to potential biases of CUT&Tag to GC content and chromatin accessibility. These characteristics should be accounted for when selecting a chromatin profiling approach, analyzing and interpreting data as well as drawing biological conclusions.

Precise quantification of myofilament protein phosphorylation is essential for understanding the regulation of cardiac contractility in health and disease. Although Phos-tag SDS-PAGE is widely used to resolve phosphorylated protein isoforms, its reproducibility and quantitative reliability are often limited by variability in the key experimental factors, including gel composition, electrophoretic conditions, protein loading, and sample preparation. Here, we present a standardized manganese (Mn2+)-Phos-tag SDS-PAGE workflow optimized for cardiac myofilament proteins, using myosin regulatory light chain 2 (MLC2) and cardiac troponin I (cTnI) as model targets. We systematically evaluated critical parameters - including Mn2+ and Phos-tag concentrations, acrylamide composition, electrophoretic regime, buffer chemistry, protein loading, and EDTA-mediated transfer - to define conditions that maximize phospho-species resolution while preserving quantitative fidelity. We further demonstrate that electrophoresis rate, sample loading, and extraction strategy significantly influence band morphology, signal intensity, and the apparent distribution of phospho-species. As a use case scenario, we compared Trichloroacetic acid (TCA) extracted mouse left ventricular homogenates with myofibrils prepared using a widely adopted Triton-X-100 tissue-demembranization protocol. Myofibril preparation was associated with profound MLC2 dephosphorylation at the earliest stages of preparation, whereas cTnI exhibited a marked reduction in higher-order, low-stoichiometry phosphoforms. Further evaluation of Myosin-binding protein C (MyBP-C) showed progressive loss of phosphorylation over the course of 24 hours. We submit that TCA-extracted heart standards in combination with Phos-tag gels can provide valuable quality control for the phosphorylation status of myofibril preparations, and that inclusion of a high-affinity PP2A and PP1 phosphatase inhibitor like okadaic acid may benefit future myofibril mechanics studies.

SNRNP70 is a core spliceosome RNA-binding protein best known for its essential role in nuclear pre-mRNA splicing. Although traditionally associated with nuclear RNA processing, previous studies have identified important extranuclear functions for SNRNP70 in neurons, including roles in mRNA stability, localisation, and axonal transport. Yet, much of our understanding of SNRNP70 localisation has relied on overexpression or transgenic approaches, leaving a critical gap in our knowledge of where endogenous SNRNP70 resides and how it behaves in living neurons under physiological expression conditions. Here, we address this limitation by establishing and validating a novel zebrafish SNRNP70-eGFP CRISPR knock-in line, enabling direct visualisation of the endogenous protein. eGFP was fused to the C-terminus of endogenous SNRNP70 while retaining the native 3' untranslated region, preserving key regulatory features of the endogenous locus. We demonstrate that the knock-in faithfully reports endogenous SNRNP70 expression and reveals widespread physiological localisation throughout the developing nervous system, including prominent enrichment within axonal and synaptic compartments. Crucially, live in vivo imaging reveals that endogenous SNRNP70 is dynamically localised within neuronal mRNP granules, providing direct evidence of its physiological behaviour in these structures without the confounding effects of protein overexpression. Proximity ligation analyses further demonstrates associations between endogenous SNRNP70 and PABPC1B, FUS, and UPF1, which are established neuronal mRNP granule components. Together, our work provides a validated genetic and imaging resource for investigating SNRNP70 at endogenous levels in the living nervous system. By overcoming key limitations of conventional transgenic and overexpression-based approaches, the SNRNP70-eGFP knock-in enables physiological analysis of SNRNP70 localisation and dynamics and reveals its prominent and dynamic organisation within neuronal mRNP granules. More broadly, this work highlights how endogenous fluorescent tagging can provide a versatile platform for resolving the spatial organisation of RNA-binding proteins in living neurons under physiological expression conditions and provide new insight into the regulation of neuronal mRNA fate.

CRISPR Cas9's ability to bind targeted and non-targeted sites and its functional interactions with other proteins and domains have been studied using many technologies. These studies are often limited by using oligos as substrates or by a reliance on predicted binding sites. We show how electronic genome mapping (EGM) with its ability to detect single-molecule DNA nicks can determine how gRNA mismatches impact targeted versus off-target binding across the whole human genome in vitro. Cas9 was found to be capable of binding a single site adjacent to the FXN repeat expansion responsible for Friedreich Ataxia using a gRNA specific for that sequence while gRNAs matching a repetitive sequence were able to bind hundreds of sites. Binding to perfectly matched gRNA sites was compared to sites with mismatches at each gRNA position. The PAM site and nearby seed region bases were confirmed as critical for binding. In contrast, single mismatches toward the gRNA 5' end allowed off-target binding. We also used EGM to determine how physically close the bound dCas9/gRNA complex can be relative to nearby DNA modification sites and still allow activity. Bound CRISPR/dCas9 inhibits nickases with recognition sites 4-7 bp away from the gRNA/PAM. Because EGM can simultaneously evaluate many mismatched off-target sites, these insights may be extended to other CRISPR systems and enable optimization of Cas proteins and gRNAs. This is the first example of EGM being used to characterize proteins and RNAs. This is also the first study demonstrating the combined application of CRISPR and EGM methodology and its potential role in the detection of specific repeat regions in the human genome that are associated with human repeat expansion disorders.

mRNA vaccines constitute a promising new platform for infectious disease prevention, having demonstrated their efficacy in response to the COVID-19 pandemic. While mRNA attributes such as purity, integrity, 5'-capping, polyA tail length, and nucleobase lipidation are critical to vaccine efficacy, another key attribute of any vaccine mRNA is its translatability - that is, how much antigen protein is produced by ribosomal translation. To assess mRNA translatability, cell-free translation (CFT) can be employed. Advantages of CFT include its rapid readout (~5 hours), minimal sample consumption, and measurement of antigen translation directly from mRNA, thereby eliminating any variability associated with cell transfection efficiency. This is in contrast to cell-based methods, which require larger amounts of mRNA material and formulation in lipid nanoparticles or lipofectamine to facilitate cell transfection. When developing a CFT method to assay mRNA translatability, one key consideration is which CFT system to use as there are several commercially available systems from a variety of different organisms and cell types. Presented here is the evaluation of three eukaryotic CFT systems - wheat germ extract (WGE), rabbit reticulocyte lysate (RRL), and HeLa cell lysate (HCL) - for the purpose of developing an analytical method to assay the translatability of mRNA. The dynamic range, linear range, sensitivity to thermal stress, and sensitivity to potential impurities (e.g., EDTA, double-stranded RNA) were determined for each system. Although HCL translated less protein than either WGE or RRL systems, it showed several advantages, notably a larger linear range and greater sensitivity to mRNA thermal stress and dsRNA impurities. Therefore, while it is still worthwhile to screen different CFT systems, the results presented here suggest that HCL should be strongly considered when developing an analytical method to assay translatability for mRNA vaccines.

An important step toward clinical implementation of (epi-)genomic assays on liquid biopsies is their validation on identical samples within and across laboratories. For these validation studies, there is a need for cell-free DNA (cfDNA) samples with defined tumor fractions and (epi-)genomic aberrations. However, the amount of circulating cfDNA isolated from patient samples is often limited, especially in pediatric cases. Additionally, patient samples contain a high degree of variability in cfDNA yield and tumor fraction. Several commercial artificial cfDNA products are available for validation studies, however their use is restricted to specific assays, aberrations and/or tumor entities. Alternatively, artificial cfDNA samples can be produced by fragmenting genomic DNA to mimic highly fragmented cfDNA derived from both tumor and healthy blood, followed by mixing artificial tumoral and healthy cfDNA at defined fractions. In this study, we compared native cfDNA with artificial cfDNA generated by three different fragmentation methods, including sonication and two enzymatic digestions using micrococcal nuclease and double-stranded deoxyribonuclease (dsDNase). We assessed fragment length profiles, end motifs and nucleosome occupancy patterns from shallow whole-genome sequencing data, as well as coverage profiles from targeted panel sequencing, together with a small-scale mixing experiment of tumor and healthy cell derived artificial cfDNA. Although sonication remains a convenient high-throughput approach to generate artificial cfDNA for certain downstream applications, enzymatic fragmentation, particularly the dsDNase-based method, more faithfully reproduced native cfDNA characteristics.

Protein degradation mediated by PROteolysis TArgeting Chimeras (PROTACs) is a complex, dynamic, and multi-step process. The structural diversity of PROTACs, coupled with cellular heterogeneity, introduces considerable variability at each stage. Therefore, a straightforward yet comprehensive approach is essential to effectively dissect these mechanisms. The existing methods for evaluating PROTAC degradation are often time-consuming, labor-intensive, or expensive, and many capture only a partial view of the entire degradation process. Consequently, multiple complementary assays are typically required to obtain the complete picture. Here, we use commercially available Cyclin dependent Kinase 6 (CDK6) targeting PROTACs to demonstrate that a simple, single-step, no-wash, additive-free, GFP-based live-cell imaging approach can rapidly generate dynamic degradation metrics (Dmax, Rmax, TDmax, CDmax, DC50, Km, Tmax, Kdeg, Vmax, DT50, {tau} and TRmax) for comparing and ranking PROTACs within a controlled reporter system. The rapid assay turnaround time, excellent assay qualities and compatibility with high-throughput (HT) formats will facilitate quick hit identification and serve as a guiding assay for hit-to-lead optimization campaigns.

This paper presents and critically reviews the results of original and some literature based experimental studies conducted by the authors last years on the structural organization of DNA in dormant (starvation stress), anabiotic dormant (4 HR treatment) E. coli cells, as well as the K12 {Delta}dps strain, which lacks the Dps protein (Dps null E. coli). The experimental data includes small-angle synchrotron radiation diffraction (SAXS) and transmission electron microscopy (TEM) data. Synchrotron radiation diffraction experiments on K12{Delta}dps cells allowed us to conclude that peaks at 44.3, 22.1, and 14.8 angstrom resolutions are associated exclusively with ordered DNA organization. Peaks at 44.3, 22.1, and 14.8 angstrom resolutions are also observed for samples of dormant (starvation stress) cells and anabiotically dormant cells. Therefore, this ordered DNA organization also applies to samples of dormant and anabiotically dormant cells. A model is proposed that considers the ordered DNA organization in the cell as a cholesteric liquid crystal. The powder diffraction pattern calculated based on this model is compared with experimental small angle X ray scattering (SAXS) data obtained on Dps-null cell samples. The model completely reproduces the key features of the experimental diffraction pattern from Dps-null cell samples. Accordingly, the cholesteric liquid crystal model corresponds to DNA packaging in dormant and anabiotically dormant cells. Cholesteric liquid crystal ordering should be further considered in all models of cellular DNA packaging. To address the question of which structural organization of DNA predominates in the cell: the cholesteric liquid crystal or nanocrystalline or whether they coexist and fully manifest themselves under different external conditions, it is necessary to utilize the latest methodological advances in structural analysis.

The dCas9 system has rapidly been developed into many tools to explore different aspects of the human genome; the high binding specificity, coupled with the inactive nuclease enzyme, allows for precise recruitment of molecules to specific sequences of DNA. We sought to exploit these capabilities to create a tool for assessing the real-time proximity of two DNA sequences within a biological system. By incorporating aptamers into gRNAs, dCas9 molecules can be used to recruit the {beta}9 or {beta}10 strands of split-NanoLuc(R) to specific DNA sequences and quantify the proximity of those sequences based on their ability to complex with the luciferase fragment ({Delta}11S) and produce luminescence. While many tools exist to detect a single DNA sequence, this system is uniquely capable of assessing how two DNA sequences interact with each other. As expected, we found that the interaction of two dCas9 molecules was affected by their linear distance from each other on dsDNA. Surprisingly, we found that their interaction was also strongly influenced by rotational orientation, even for sequences that are close together in linear space. This finding indicates that dCas9 rotational alignment is an important consideration for designing dCas9 systems that target multiple DNA sequences simultaneously. Beyond the findings presented herein, we believe this DNA proximity detection tool has the potential to be adapted for applications involving the proximity and orientation of two DNA sequences.

Chromatin accessibility has long been used as a marker for regions of DNA with regulatory potential. Fiber-seq detects chromatin accessibility on individual DNA fibers, enabling analyses beyond the identification of the accessible chromatin regions (ACRs). By providing single molecule level high resolution, Fiber-seq provides unprecedented qualitative descriptions, including potential categorizations of ACRs, identification of internal transcription factor footprints and nucleosome positioning within individual DNA fibers. As with all tools, the power of this technique depends on careful experimental design and data analysis -- incorrect usage will result in incorrect conclusions. Here we offer guidelines and flag potential pitfalls when generating and analyzing Fiber-seq data, such as (1) the optimum levels of adenosine methylation per-fiber, (2) the power of per-fiber state inference, (3) the importance of controlling for read depth and methylation rates when comparing across samples, (4) the limitations of long-read sequence mapping, and (5) suggestions for identification of differentially accessible peaks across samples.

Circular single-stranded DNA (cssDNA) is a versatile biomolecule with applications spanning genome editing, DNA nanotechnology, synthetic biology, molecular diagnostics, and aptamer development. Compared with linear single-stranded DNA, cssDNA offers enhanced structural stability, resistance to in-cellulo degradation by exonucleases and enables the generation of long, sequence-defined DNA molecules that are difficult to obtain through conventional chemical synthesis methods. Despite its growing utility, widespread adoption of cssDNA has been limited by the lack of accessible, scalable, and cost-effective production methods, with many existing workflows relying on specialised reagents, extensive optimisation, or commercially synthesised DNA. Here, we present a streamlined, end-to-end protocol for the laboratory-scale production of high-purity cssDNA using an M13 phagemid-based system and standard molecular biology laboratory infrastructure. The workflow encompasses bacterial culture, phage amplification, nuclease treatment, phage precipitation, anion-exchange purification, and quality control, with practical optimisations to improve yield, reproducibility, and scalability. Using this approach, yields range from 120-195 {micro}g of purified cssDNA from 300 mL of culture supernatant. The protocol provides detailed guidance on critical process parameters, troubleshooting, and quality assessment, enabling reliable production of cssDNA suitable for a wide range of downstream molecular biology and genome engineering applications.