Nucleic Acids Research

Spector, Benjamin M; Santana, Juan F; Pufall, Miles A; Price, David H

doi: 10.1093/nar/gkae760pmid: 39248105

Recently, we introduced a chromatin immunoprecipitation (ChIP) technique utilizing the human DNA Fragmentation Factor (DFF) to digest the DNA prior to immunoprecipitation (DFF-ChIP) that provides the precise location of transcription complexes and their interactions with neighboring nucleosomes. Here we expand the technique to new targets and provide useful information concerning purification of DFF, digestion conditions, and the impact of crosslinking. DFF-ChIP analysis was performed individually for subunits of Mediator, DSIF, and NELF that that do not interact with DNA directly, but rather interact with RNA polymerase II (Pol II). We found that Mediator was associated almost exclusively with preinitiation complexes (PICs). DSIF and NELF were associated with engaged Pol II and, in addition, potential intermediates between PICs and early initiation complexes. DFF-ChIP was then used to analyze the occupancy of a tight binding transcription factor, CTCF, and a much weaker binding factor, glucocorticoid receptor (GR), with and without crosslinking. These results were compared to those from standard ChIP-Seq that employs sonication and to CUT&RUN which utilizes MNase to fragment the genomic DNA. Our findings indicate that DFF-ChIP reveals details of occupancy that are not available using other methods including information revealing pertinent protein:protein interactions.

Rauluseviciute, Ieva; Launay, Timothée; Barzaghi, Guido; Nikumbh, Sarvesh; Lenhard, Boris; Krebs, Arnaud Regis; Castro-Mondragon, Jaime A; Mathelier, Anthony

doi: 10.1093/nar/gkae743pmid: 39217462

Transcription factor (TF) binding to DNA is critical to transcription regulation. Although the binding properties of numerous individual TFs are well-documented, a more detailed comprehension of how TFs interact cooperatively with DNA is required. We present COBIND, a novel method based on non-negative matrix factorization (NMF) to identify TF co-binding patterns automatically. COBIND applies NMF to one-hot encoded regions flanking known TF binding sites (TFBSs) to pinpoint enriched DNA patterns at fixed distances. We applied COBIND to 5699 TFBS datasets from UniBind for 401 TFs in seven species. The method uncovered already established co-binding patterns and new co-binding configurations not yet reported in the literature and inferred through motif similarity and protein-protein interaction knowledge. Our extensive analyses across species revealed that 67% of the TFs shared a co-binding motif with other TFs from the same structural family. The co-binding patterns captured by COBIND are likely functionally relevant as they harbor higher evolutionarily conservation than isolated TFBSs. Open chromatin data from matching human cell lines further supported the co-binding predictions. Finally, we used single-molecule footprinting data from mouse embryonic stem cells to confirm that the COBIND-predicted co-binding events associated with some TFs likely occurred on the same DNA molecules.

Liu, Tianyu; Cai, Teng; Huo, Junfeng; Liu, Hongwei; Li, Aiying; Yin, Meng; Mei, Yan; Zhou, Yueyue; Fan, Sijun; Lu, Yao; Wan, Luosheng; You, Huijuan; Cai, Xiaofeng

doi: 10.1093/nar/gkae746pmid: 39193913

Microorganisms can produce a vast array of bioactive secondary metabolites, including DNA-intercalating agents like actinomycin D, doxorubicin, which hold great potential for cancer chemotherapy. However, discovering novel DNA-intercalating compounds remains challenging due to the limited sensitivity and specificity of conventional activity assays, which require large-scale fermentation and purification. Here, we introduced the single-molecule stretching assay (SMSA) directly to microbial cultures or extracts for discovering DNA-intercalating agents, even in trace amounts of microbial cultures (5 μl). We showed that the unique changes of dsDNA in contour length and overstretching transition enable the specific detection of intercalators from complex samples without the need for extensive purification. Applying force to dsDNA also enhanced the sensitivity by increasing both the binding affinity Ka and the quantity of ligands intercalation, thus allowing the detection of weak intercalators, which are often overlooked using traditional methods. We demonstrated the effectiveness of SMSA, identified two DNA intercalator-producing strains: Streptomyces tanashiensis and Talaromyces funiculosus, and isolated three DNA intercalators: medermycin, kalafungin and ligustrone B. Interestingly, both medermycin and kalafungin, classified as weak DNA intercalators (Ka ∼103 M–1), exhibited potent anti-cancer activity against HCT-116 cancer cells, with IC50 values of 52 ± 6 and 70 ± 7 nM, respectively.

Kristen, Marco; Lander, Marc; Kilz, Lea-Marie; Gleue, Lukas; Jörg, Marko; Bregeon, Damien; Hamdane, Djemel; Marchand, Virginie; Motorin, Yuri; Friedland, Kristina; Helm, Mark

doi: 10.1093/nar/gkae765pmid: 39258547

Due to its high modification content tRNAs are notoriously hard to quantify by reverse transcription and RNAseq. Bypassing numerous biases resulting from concatenation of enzymatic treatments, we here report a hybrid approach that harnesses the advantages of hybridization-based and deep sequencing–based approaches. The method renders obsolete any RNAseq related workarounds and correction factors that affect accuracy, sensitivity, and turnaround time. Rather than by reverse transcription, quantitative information on the isoacceptor composition of a tRNA pool is transferred to a cDNA mixture in a single step procedure, thereby omitting all enzymatic conversations except for the subsequent barcoding PCR. As a result, a detailed tRNA composition matrix can be obtained from femtomolar amounts of total tRNA. The method is fast, low in cost, and its bioinformatic data workup surprisingly simple. These properties make the approach amenable to high-throughput investigations including clinical samples, as we have demonstrated by application to a collection of variegated biological questions, each answered with novel findings. These include tRNA pool quantification of polysome-bound tRNA, of tRNA modification knockout strains under stress conditions, and of Alzheimer patients’ brain tissues.

Özden, Furkan; Minary, Peter

doi: 10.1093/nar/gkae759pmid: 39275984

CRISPR-based genome editing technologies have revolutionised the field of molecular biology, offering unprecedented opportunities for precise genetic manipulation. However, off-target effects remain a significant challenge, potentially leading to unintended consequences and limiting the applicability of CRISPR-based genome editing technologies in clinical settings. Current literature predominantly focuses on point predictions for off-target activity, which may not fully capture the range of possible outcomes and associated risks. Here, we present crispAI, a neural network architecture-based approach for predicting uncertainty estimates for off-target cleavage activity, providing a more comprehensive risk assessment and facilitating improved decision-making in single guide RNA (sgRNA) design. Our approach makes use of the count noise model Zero Inflated Negative Binomial (ZINB) to model the uncertainty in the off-target cleavage activity data. In addition, we present the first-of-its-kind genome-wide sgRNA efficiency score, crispAI-aggregate, enabling prioritization among sgRNAs with similar point aggregate predictions by providing richer information compared to existing aggregate scores. We show that uncertainty estimates of our approach are calibrated and its predictive performance is superior to the state-of-the-art in silico off-target cleavage activity prediction methods. The tool and the trained models are available at https://github.com/furkanozdenn/crispr-offtarget-uncertainty.

Rothweiler, Ulli; Gundesø, Sigurd Eidem; Mikalsen, Emma Wu; Svenning, Steingrim; Singh, Mahavir; Combes, Francis; Pettersson, Frida J; Mangold, Antonia; Piotrowski, Yvonne; Schwab, Felix; Lanes, Olav; Striberny, Bernd Ketelsen

doi: 10.1093/nar/gkae779pmid: 39271118

Over the past five decades, DNA restriction enzymes have revolutionized biotechnology. While these enzymes are widely used in DNA research and DNA engineering, the emerging field of RNA and mRNA therapeutics requires sequence-specific RNA endoribonucleases. Here, we describe EcoToxN1, a member of the type III toxin-antitoxin family of sequence-specific RNA endoribonucleases, and its use in RNA and mRNA analysis. This enzyme recognizes a specific pentamer in a single-stranded RNA and cleaves the RNA within this sequence. The enzyme is neither dependent on annealing of guide RNA or DNA oligos to the template nor does it require magnesium. Furthermore, it performs over a wide range of temperatures. With its unique functions and characteristics, EcoToxN1 can be classified as an RNA restriction enzyme. EcoToxN1 enables new workflows in RNA analysis and biomanufacturing, meeting the demand for faster, cheaper, and more robust analysis methods.

Chen, Ziyuan; Seman, Melissa; Fyodorova, Yekaterina; Farhat, Ali; Ames, Amanda; Levashkevich, Alexander; Biswas, Saikat; Huang, Fengting; Freddolino, Lydia; Biteen, Julie S; Ragunathan, Kaushik

doi: 10.1093/nar/gkae692pmid: 39142658

Visualizing and measuring molecular-scale interactions in living cells represents a major challenge, but recent advances in single-molecule super-resolution microscopy are bringing us closer to achieving this goal. Single-molecule super-resolution microscopy enables high-resolution and sensitive imaging of the positions and movement of molecules in living cells. HP1 proteins are important regulators of gene expression because they selectively bind and recognize H3K9 methylated (H3K9me) histones to form heterochromatin-associated protein complexes that silence gene expression, but several important mechanistic details of this process remain unexplored. Here, we extended live-cell single-molecule tracking studies in fission yeast to determine how HP1 proteins interact with their binding partners in the nucleus. We measured how genetic perturbations that affect H3K9me alter the diffusive properties of HP1 proteins and their binding partners, and we inferred their most likely interaction sites. Our results demonstrate that H3K9 methylation spatially restricts HP1 proteins and their interactors, thereby promoting ternary complex formation on chromatin while simultaneously suppressing off-chromatin binding. As opposed to being an inert platform to direct HP1 binding, our studies propose a novel function for H3K9me in promoting ternary complex formation by enhancing the specificity and stimulating the assembly of HP1–protein complexes in living cells.

Cunningham, Ana S G; Gorospe, Myriam

doi: 10.1093/nar/gkae764pmid: 39271127

What do we mean when we say ‘gene expression’? In the decades following Crick's 1958 central dogma of molecular biology, whereby genetic information flows from DNA (genes) to RNA (transcripts) to protein (products), we have learned a great deal about DNA, RNA, proteins, and the ensuing phenotypic changes. With the advent of high-throughput technologies (1990s), molecular biologists and computer scientists forged critical collaborations to understand the vast amount of data being generated, rapidly escalating gene expression research to the ‘omics’ level: entire sets of genes (genomes), transcribed RNAs (transcriptomes), and synthesized proteins (proteomes). However, some concessions came to be made for molecular biologists and computer scientists to understand each other—one of the most prevalent being the increasingly widespread use of ‘gene’ to mean ‘RNAs originating from a DNA segment’. This loosening of terminology, we will argue, creates ambiguity and confusion. We propose guidelines to increase precision and clarity when communicating about gene expression, most notably to reserve ‘gene’ for the DNA template and ‘transcript’ for the RNA transcribed from that gene. Striving to use perspicuous terminology will promote rigorous gene expression science and accelerate discovery in this highly promising area of biology.

Nomura, Kohei; An, Seongjin; Kobayashi, Yoshiaki; Kondo, Jiro; Shi, Ting; Murase, Hirotaka; Nakamoto, Kosuke; Kimura, Yasuaki; Abe, Naoko; Ui-Tei, Kumiko; Abe, Hiroshi

doi: 10.1093/nar/gkae741pmid: 39231537

In this study, we report the synthesis of 2′-formamidonucleoside phosphoramidite derivatives and their incorporation into siRNA strands to reduce seed-based off-target effects of small interfering RNAs (siRNAs). Formamido derivatives of all four nucleosides (A, G, C and U) were synthesized in 5–11 steps from commercial compounds. Introducing these derivatives into double-stranded RNA slightly reduced its thermodynamic stability, but X-ray crystallography and CD spectrum analysis confirmed that the RNA maintained its natural A-form structure. Although the introduction of the 2′-formamidonucleoside derivative at the 2nd position in the guide strand of the siRNA led to a slight decrease in the on-target RNAi activity, the siRNAs with different sequences incorporating 2′-formamidonucleoside with four kinds of nucleobases into any position other than 2nd position in the seed region revealed a significant suppression of off-target activity while maintaining on-target RNAi activity. This indicates that 2′-formamidonucleosides represent a promising approach for mitigating off-target effects in siRNA therapeutics.

Karna, Deepak; Liang, Lin; Sharma, Grinsun; Mandal, Shankar; Asamitsu, Sefan; Kawamoto, Yusuke; Hashiya, Kaori; Bando, Toshikazu; Sugiyama, Hiroshi; Mao, Hanbin

doi: 10.1093/nar/gkae754pmid: 39217470

Small molecules can inhibit cellular processes such as replication and transcription by binding to the promoter regions that are prone to form G-quadruplexes. However, since G-quadruplexes exist throughout the human genome, the G-quadruplex binders suffer from specificity issues. To tackle this problem, a G-quadruplex binder (Pyridostatin, or PDS) is conjugated with a ligand (Polyamide, or PA) that can specifically recognize DNA sequences flanking the G-quadruplex forming region. The binding mechanism of this hybrid ligand to the hTERT promoter region (hTERT 5–12) is then elucidated using optical tweezers. During mechanical unfolding processes, different intermediate structures of hTERT 5–12 in presence of PDS, PA, or PA-PDS conjugate are observed. These intermediate structures are consistent with two folding patterns of G-quadruplexes in the hTERT 5–12 fragment. While the duplex DNA binder PA facilitates the folding of a hairpin-G-quadruplex structure, the PDS assists the formation of two tandem G-quadruplexes. Both replication stop assay in vitro and dual luciferase assay in vivo established the effectiveness of the PA-PDS conjugate for hTERT 5–12 targeting. We expect such a ligand dependent folding dynamics will provide guidelines to the development of drugs that not only target hTERT expressions, but also other oncogenes via interactions with specific G-quadruplex structures formed in their promotor regions.