Sequence Motifs Research Articles

Interpretable prediction of mRNA abundance from promoter sequence using contextual regression models.

While machine learning models have been successfully applied to predicting gene expression from promoter sequences, it remains a great challenge to derive intuitive interpretation of the model and reveal DNA motif grammar such as motif cooperation and distance constraint between motif sites. Previous interpretation approaches are often time-consuming or have difficulty to learn the combinatory rules. In this work, we designed interpretable neural network models to predict the mRNA expression levels from DNA sequences. By applying the Contextual Regression framework we developed, we extracted weighted features to cluster samples into different groups, which have different gene expression levels. We performed motif analysis in each cluster and found motifs with active or repressive regulation on gene expression. By comparing the co-occurrence locations of discovered motifs, we also uncovered multiple grammars of motif combination including communities of cooperative motifs and distance constraints between motif pairs. These results revealed new insights of the regulatory architecture of promoter sequences.

Identification of a short sequence motif in the influenza A virus pathogenicity factor PB1-F2 required for inhibition of human NLRP3.

Influenza A virus infection is accompanied by a strong inflammatory response and high fever. The human immune system facilitates the swift clearance of the virus with this response. An essential signal protein in the proinflammatory host response is IL-1b. It is released from inflammatory macrophages, and its production and secretion depend on the function of NLRP3. We had previously shown that influenza A virus blocks NLRP3 activation by the expression of a viral inhibitor, PB1-F2. Here, we demonstrate how this short peptide binds to NLRP3 and provide evidence that a four amino acid stretch in PB1-F2 is necessary and sufficient to mediate this binding. Our data identify a new virus-host interface required to block one signaling path of the innate host response against influenza A virus.

Transcription factor regulation of ribosomal RNA in hematopoiesis.

Ribosomal RNAs (rRNAs) are transcribed within nucleoli from rDNA repeats by RNA Polymerase I (Pol I). There is variation in rRNA transcription rates across the hematopoietic tree, and leukemic blast cells have prominent nucleoli, indicating abundant ribosome biogenesis. The mechanisms underlying these variations are poorly understood. The purpose of this review is to summarize findings of rDNA binding and Pol I regulation by hematopoietic transcription factors. Our group recently used custom genome assemblies optimized for human and mouse rDNA mapping to map nearly 2200 ChIP-Seq datasets for nearly 250 factors to rDNA, allowing us to identify conserved occupancy patterns for multiple transcription factors. We confirmed known rDNA occupancy of MYC and RUNX factors, and identified new binding sites for CEBP factors, IRF factors, and SPI1 at canonical motif sequences. We also showed that CEBPA degradation rapidly leads to reduced Pol I occupancy and nascent rRNA in mouse myeloid cells. We propose that a number of hematopoietic transcription factors bind rDNA and potentially regulate rRNA transcription. Our model has implications for normal and malignant hematopoiesis. This review summarizes the literature, and outlines experimental considerations to bear in mind while dissecting transcription factor roles on rDNA.

Species-aware DNA language models capture regulatory elements and their evolution

BackgroundThe rise of large-scale multi-species genome sequencing projects promises to shed new light on how genomes encode gene regulatory instructions. To this end, new algorithms are needed that can leverage conservation to capture regulatory elements while accounting for their evolution.ResultsHere, we introduce species-aware DNA language models, which we trained on more than 800 species spanning over 500 million years of evolution. Investigating their ability to predict masked nucleotides from context, we show that DNA language models distinguish transcription factor and RNA-binding protein motifs from background non-coding sequence. Owing to their flexibility, DNA language models capture conserved regulatory elements over much further evolutionary distances than sequence alignment would allow. Remarkably, DNA language models reconstruct motif instances bound in vivo better than unbound ones and account for the evolution of motif sequences and their positional constraints, showing that these models capture functional high-order sequence and evolutionary context. We further show that species-aware training yields improved sequence representations for endogenous and MPRA-based gene expression prediction, as well as motif discovery.ConclusionsCollectively, these results demonstrate that species-aware DNA language models are a powerful, flexible, and scalable tool to integrate information from large compendia of highly diverged genomes.

Porphyromonas gingivalis infection alters microRNA composition in extracellular vesicles

ObjectivesPeriodontitis, commonly associated with Porphyromonas gingivalis (Pg), involves intricate alterations of oral intercellular interactions, in which extracellular vesicles (EVs) play a pivotal role. The understanding of the miRNA profiles in the EVs derived from Pg-infected cells (Pg-EVs) remains incomplete despite acknowledging their importance in intercellular communication during periodontitis. Therefore, our objective was to identify and characterize the miRNAs enriched in Pg-EVs. MethodsMicroarray analysis was conducted to examine the miRNA profiles in the EVs derived from Pg-infected THP-1 cells. We compared the identified miRNAs with those upregulated in the EVs after stimulation with LPS. Additionally, we explored how inhibiting TLR signaling during Pg infection affects the transcription of specific miRNAs. We investigated the unique sequence motifs specific to the miRNAs concentrated in Pg-EVs. ResultsThe levels of eleven miRNAs, including miR-155, were increased in Pg-EVs compared with those elevated after LPS stimulation. The Pg-induced miR-155 upregulation via TLR2 but not TLR4 signaling suggests the influence of TLR signaling on the miRNA composition of EVs. Furthermore, the miRNAs upregulated in Pg-EVs contained AGAGGG and GRGGSGC sequence motifs. ConclusionsOur findings demonstrate that Pg-induced alterations in EV-containing miRNA composition occur in a TLR4-independent manner. Notably, the concentrated miRNAs in Pg-EVs harbor specific motifs with a high G + C content within their sequences. The upregulation of specific miRNAs in EVs under infectious conditions suggests the influence of both innate immune receptor signals and miRNA sequence characteristics.

Impact of transcription factors KLF1 and GATA1 on red blood cell antigen expression: a review.

KLF transcription factor 1 (KLF1) and GATA binding protein 1 (GATA1) are transcription factors (TFs) that initiate and regulate transcription of the genes involved in erythropoiesis. These TFs possess DNA-binding domains that recognize specific nucleotide sequences in genes, to which they bind and regulate transcription. Variants in the genes that encode either KLF1 or GATA1 can result in a range of hematologic phenotypes-from benign to severe forms of thrombocytopenia and anemia; they can also weaken the expression of blood group antigens. The Lutheran (LU) blood group system is susceptible to TF gene variations, particularly KLF1 variants. Individuals heterozygous for KLF1 gene variants show reduced Lutheran antigens on red blood cells that are not usually detected by routine hemagglutination methods. This reduced antigen expression is referred to as the In(Lu) phenotype. For accurate blood typing, it is important to distinguish between the In(Lu) phenotype, which has very weak antigen expression, and the true Lunull phenotype, which has no antigen expression. The International Society of Blood Transfusion blood group allele database registers KLF1 and GATA1 variants associated with modified Lutheran expression. Here, we review KLF1 and recent novel gene variants defined through investigating blood group phenotype and genotype discrepancies or, for one report, investigating cases with unexplained chronic anemia. In addition, we include a review of the GATA1 TF, including a case report describing the second GATA1 variant associated with a serologic Lu(a-b-) phenotype. Finally, we review both past and recent reports on variations in the DNA sequence motifs on the blood group genes that disrupt the binding of the GATA1 TF and either remove or reduce erythroid antigen expression. This review highlights the diversity and complexity of the transcription process itself and the need to consider these factors as an added component for accurate blood group phenotyping.

Efficient Motif Discovery in Protein Sequences Using a Branch and Bound Algorithm.

Identifying motifs within sets of protein sequences constitutes a pivotal challenge in proteomics, imparting insights into protein evolution, function prediction, and structural attributes. Motifs hold the potential to unveil crucial protein aspects like transcription factor binding sites and protein-protein interaction regions. However, prevailing techniques for identifying motif sequences in extensive protein collections often entail significant time investments. Furthermore, ensuring the accuracy of obtained results remains a persistent motif discovery challenge. This paper introduces an innovative approach-a branch and bound algorithm-for exact motif identification across diverse lengths. This algorithm exhibits superior performance in terms of reduced runtime and enhanced result accuracy, as compared to existing methods. To achieve this objective, the study constructs a comprehensive tree structure encompassing potential motif evolution pathways. Subsequently, the tree is pruned based on motif length and targeted similarity thresholds. The proposed algorithm efficiently identifies all potential motif subsequences, characterized by maximal similarity, within expansive protein sequence datasets. Experimental findings affirm the algorithm's efficacy, highlighting its superior performance in terms of runtime, motif count, and accuracy, in comparison to prevalent practical techniques.

Tuning CpG motif position in nanostructured DNA for efficient immune stimulation.

It was previously demonstrated that polypod-like nanostructured DNA (polypodna) comprising three or more oligodeoxynucleotides (ODNs) were useful for the delivery of ODNs containing cytosine-phosphate-guanine (CpG) motifs, or CpG ODNs, to immune cells. Although the immunostimulatory activity of single-stranded CpG ODNs is highly dependent on CpG motif sequence and position, little is known about how the position of the motif affects the immunostimulatory activity of CpG motif-containing nanostructured DNAs. In the present study, four series of polypodna were designed, each comprising a CpG ODN with one potent CpG motif at varying positions and 2-5 CpG-free ODNs, and investigated their immunostimulatory activity using Toll-like receptor-9 (TLR9)-positive murine macrophage-like RAW264.7 cells. Polypodnas with the CpG motif in the 5'-overhang induced more tumor necrosis factor-α release than those with the motif in the double-stranded region, even though their cellular uptake were similar. Importantly, the rank order of the immunostimulatory activity of single-stranded CpG ODNs changed after their incorporation into polypodna. These results indicate that the CpG ODN sequence as well as the motif location in nanostructured DNAs should be considered for designing the CpG motif-containing nanostructured DNAs for immune stimulation.

High-Throughput Screening of PAM-Flexible Cas9 Variants for Expanded Genome Editing in the Silkworm (Bombyx mori).

Genome editing provides novel opportunities for the precise genome engineering of diverse organisms. Significant progress has been made in the development of genome-editing tools for Bombyx mori (B. mori) in recent years. Among these, CRISPR/Cas9, which is currently the most commonly used system in lepidopteran insects, recognizes NGG protospacer adjacent motif (PAM) sequences within the target locus. However, Cas9 lacks the ability to target all gene loci in B. mori, indicating the need for Cas9 variants with a larger editing range. In this study, we developed a high-throughput screening platform to validate Cas9 variants at all possible recognizable and editable PAM sites for target sequences in B. mori. This platform enabled us to identify PAM sites that can be recognized by both xCas9 3.7 and SpCas9-NG variants in B. mori and to assess their editing efficiency. Cas9 shows PAM sites every 13 base pairs in the genome, whereas xCas9 3.7 and SpCas9-NG have an average distance of 3.4 and 3.6 base pairs, respectively, between two specific targeting sites. Combining the two Cas9 variants could significantly expand the targeting range of the genome, accelerate research on the B. mori genome, and extend the high-throughput rapid screening platform to other insects, particularly those lacking suitable NGG PAM sequences.

High-Copy Transposons from a Pathogen Give Rise to a Conserved sRNA Family with a Novel Host Immunity Target.

Small RNAs (sRNAs) are involved in gene silencing in multiple ways, including through cross-kingdom transfers from parasites to their hosts. Little is known about the evolutionary mechanisms enabling eukaryotic microbes to evolve functional mimics of host small regulatory RNAs. Here, we describe the identification and functional characterization of SINE_sRNA1, an sRNA family derived from highly abundant short interspersed nuclear element (SINE) retrotransposons in the genome of the wheat powdery mildew pathogen. SINE_sRNA1 is encoded by a sequence motif that is conserved in multiple SINE families and corresponds to a functional plant microRNA (miRNA) mimic targeting Tae_AP1, a wheat gene encoding an aspartic protease only found in monocots. Tae_AP1 has a novel function enhancing both pattern-triggered immunity (PTI) and effector-triggered immunity (ETI), thereby contributing to the cross activation of plant defenses. We conclude that SINE_sRNA1 and Tae_AP1 are functional innovations, suggesting the contribution of transposons to the evolutionary arms race between a parasite and its host. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Novel CRISPR/SpRY system for rapid detection of CRISPR/Cas-mediated gene editing in rice

The gene editing technology represented by clustered rule-interspersed short palindromic repeats (CRISPR)/Cas9 has developed as a common tool in the field of biotechnology. Many gene-edited products in plant varieties have recently been commercialized. However, the rapid on-site visual detection of gene-edited products without instrumentation remains challenging. This study aimed to develop a novel and efficient method, termed the CRISPR/SpRY detection platform, for the rapid screening of CRISPR/Cas9-induced mutants based on CRISPR/SpRY-mediated in vitro cleavage using rice (Oryza sativa L.) samples genetically edited at the TGW locus as an example. We designed the workflow of the CRISPR/SpRY detection platform and conducted a feasibility assessment. Subsequently, we optimized the reaction system of CRISPR/SpRY, and developed a one-pot CRISPR/SpRY assay by integrating recombinase polymerase amplification (RPA). The sensitivity of the method was further verified using recombinant plasmids. The proposed method successfully identified various types of mutations, including insertions, deletions (indels), and nucleotide substitutions, with excellent sensitivity. Finally, the applicability of this method was validated using different rice samples. The entire process was completed in less than an hour, with a limit of detection as low as 1%. Compared with previous methods, our approach is simple to operate, instrumentation-free, cost-effective, and time-efficient. The primary significance lies in the liberation of our developed system from the limitations imposed using protospacer adjacent motif sequences. This expands the scope and versatility of the CRISPR-based detection platform, making it a promising and groundbreaking platform for detecting mutations induced by gene editing.

Abstract 1695: Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at cancer super-enhancers

Abstract Many transcription factors (TFs) have been shown to bind to super-enhancers, forming transcriptional condensates to activate transcription in various cellular systems including cancer. However, the genomic and epigenomic determinants of phase-separated transcriptional condensate formation remain poorly understood. Questions regarding which TFs tend to associate with transcriptional condensates and what factors influence their association are largely unanswered. Here we systematically analyzed 528 DNA sequence motifs across the human genome and 6,650 TF binding profiles across different cell types to identify the molecular features contributing to the formation of transcriptional condensates. We found that the genomic distributions of sequence motifs for different TFs exhibit distinct clustering tendencies. Notably, TF motifs with a high genomic clustering tendency are significantly associated with super-enhancers. TF binding profiles showing a high genomic clustering tendency are further enriched at cell-type-specific super-enhancers. TFs with a high binding clustering tendency also possess high liquid-liquid phase separation abilities. Compared to non-clustered TF binding, densely clustered TF binding sites are more enriched at cell-type-specific super-enhancers with higher chromatin accessibility, elevated chromatin interaction, and stronger association with cancer outcomes. Our results indicate that the clustered genomic binding patterns and the phase separation properties of TFs collectively contribute to the formation of transcriptional condensates at cancer super-enhancers. Citation Format: Zhenjia Wang, Shengyuan Wang, Chongzhi Zang. Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at cancer super-enhancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1695.

Abstract 974: DNA methylation and gene expression as determinants of genome-wide cell-free DNA fragmentation

Abstract Cell-free DNA (cfDNA) in the bloodstream is increasingly gaining attention as a diagnostic tool for the early detection of cancer. Nevertheless, the characteristics and sources of cfDNA fragmentation in the blood remain poorly understood. In this study, we sought to unravel the impact of DNA methylation and gene expression on the naturally occurring genome-wide fragmentation of cfDNA. We performed a comprehensive analysis of plasma samples from 969 individuals, including 182 individuals diagnosed with cancer (pancreatic, colorectal, ovarian, lung and breast cancer). In healthy individual cfDNA fragmentation patterns like DNA motifs at cfDNA fraqgments ends, recurrent cfDNA fragment start sites, cfDNA coverage and cfDNA fragment size were compared to publicly available data on cfDNA methylation and gene expression from myeloid cells. We discovered that the ends of cfDNA fragments, particularly those containing CGs or CCGs, displayed a distinct pattern of enrichment or depletion, respectively, at methylated CpG positions throughout the genome. This phenomenon is consistent with structural models suggesting an increased interaction of CG fragment ends with nucleosomes. cfDNA fragments were more prevalent (up to 3.7 fold) and of larger sizes (up to 4-5 base larger) when derived from regions of methylated CpGs or transcriptional start sites of genes that were not actively expressed. Differences in cfDNA fragmentation reflected specific biological pathways associated with their tissue of origin (like E2f transcription factors and blood cell metabolism genes in cfDNA from healthy individuals). Through analyses of cfDNA from patients with cancer, we identified a connection between tumor-related hypomethylation, increased gene expression, and a global reduction in cfDNA fragment size. This connection may offer an explanation for the generally smaller cfDNA fragments found in individuals with cancer. We found that cancer-specific methylation at CpG sites from pancreatic cancers were associated with widespread changes in cfDNA fragment ends, particularly for patients with pancreatic (test statistic = Welch two sample t-test; p<2.2e-16) and other cancers. These findings establish a direct link between epigenetic modifications and cfDNA fragmentation that may have implications for non-invasive detection of cancer. Citation Format: Michaël Noë, Akshaya V. Annapragada, Zachariah H. Foda, Jamie E. Medina, Dimitrios Mathios, Stephen Cristiano, Christopher Cherry, Daniel C. Bruhm, Noushin Niknafs, Vilmos Adleff, Leonardo Ferreira, Hari Easwaran, Stephen Baylin, Jillian Phallen, Robert B. Scharpf, Victor E. Velculescu. DNA methylation and gene expression as determinants of genome-wide cell-free DNA fragmentation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 974.

Abstract 7246: Enhancing PDAC therapy through in vivo correction of KRAS G12D using enIscB-directed base editor combined with ICB

Abstract In this study, we aim to investigate the therapeutic potential of in vivo genetic therapy using AAV-mediated adenine base editor (ABE) delivery for pancreatic ductal adenocarcinoma (PDAC) carrying the KRASG12D mutation (PDACG12D), and further explore its potential when combined with immune checkpoint blockade (ICB). The KRASG12D mutation is a dominant genetic alteration representing a highly sought-after and effective therapeutic target in PDAC. However, the in vivo genetic therapy for KRASG12D in PDAC has been rarely explored. Programmable base editors have been shown to install genetic mutations precisely and have significant therapeutic value, providing a promising strategy for genetic therapy of PDACG12D. Here, we engineered ABEs derived from various programmable nucleases, considering the protospacer adjacent motif (PAM) or target adjacent motif (TAM) sequence. The hypercompact A8e-enIscB demonstrated the highest editing efficiency in HEK293TG12D and PANC-1 cell lines. Subsequently, A8e-enIscB was packaged into a single-AAV system and delivered to humanized mice subcutaneously transplanted with patient-derived organoidG12D (PDOG12D). We found the delayed tumor progression with BE-based genetic therapy. Additionally, a substantial editing efficiency in tumor tissues and lower off-target editing in normal tissues was observed. By comparing single-cell transcriptome sequencing data between BE-treated and non-treated samples, we observed a reprogrammed immune microenvironment characterized by elevated infiltration of cytotoxic CD8+ T cells and NK cells, as well as decreased recruitment of suppressive PMN-MDSCs, Tregs and TAMs upon correction of KRASG12D. Furthermore, AAV-directed ABE genetic therapy could significantly sensitize PDAC to ICB therapy (anti-PD-1, anti-CTLA4) in humanized PDAC PDO/PDX mouse models. Accordingly, an ongoing work in which the genetic therapy combined with ICB phase IA investigator-initialized trial will be designed to evaluate the safety of this regimen. In summary, our study demonstrates the efficiency and safety of innovative genetic therapy for correcting the KRASG12D mutation in PDAC. Furthermore, we demonstrated the therapeutic potential of combining this genetic therapy with ICB. Citation Format: Chao Yang, Qingxiao Fang, Tianxing Zhou, Yongjie Xie, Jun Yu, Jihui Hao. Enhancing PDAC therapy through in vivo correction of KRAS G12D using enIscB-directed base editor combined with ICB [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7246.

Abstract 3023: Master corepressor inactivation through oncogene suppressor RAI2 mediated polymerization

Abstract Imbalanced transcription of a large number of genes can be caused at various levels, ranging from alterations in individual transcription factors to dysfunctional corepressor and coactivator complexes [1]. C-terminal binding proteins (CtBPs) are ubiquitous master transcriptional coregulators associated with the Polycomb Repressive Complex 2 (PRC2), with essential functions in the development and oncogenesis of various tumor entities, including breast cancer and prostate cancer (PC) [2,3]. As CtBPs bind to short linear PxDLS-like sequence motifs (SLiMs), the presence of such motifs in tandem on the putative metastasis suppressor RAI2 [4] suggested a previously undiscovered dual interaction with CtBPs. Here, we show that RAI2 induces CtBP polymerization through well-ordered filaments of stacked tetrameric CtBP layers, as illustrated by a high-resolution single particle cryo electron microscopy structure. These filaments are mirrored by RAI2-mediated CtBP nuclear foci and relief of CtBP corepressor function in RAI2-expressing cancer cells. Analyses of a diverse PC patient cohort revealed a substantial decrease in RAI2 in the aggressive subtypes, suggesting a pivotal role of RAI2 in the transition to androgen receptor signaling-independent progression. Taken together, our data demonstrate a previously unknown mechanism of multivalent short linear sequence motif-induced polymerization. As RAI2-like SLiM motifs are found in a wide range of organisms, including pathogenic viruses, our findings serve as a paradigm for diverse functional effects through multivalent interaction-mediated polymerization by disordered proteins in healthy and diseased conditions. The specific properties of these repeated interactions open up new therapeutic opportunities.

Abstract 3492: Comprehensive analysis of hematological malignancies with optical genome mapping and Bionano VIA™Software

Abstract The current standard for analysis of samples with suspected hematological cancer is karyotyping, fluorescence in situ hybridization (FISH), and/or chromosomal microarray (CMA). However, these methods have several limitations for the detection of structural variants (SVs) or copy number variants (CNV) that are smaller than 5 Mbp (karyotyping). Additionally, they are limited in their ability to detect low allele fraction (LAF) events and cannot detect the absence of heterozygosity (AOH) or the loss of heterozygosity (AOH/LOH - FISH and karyotyping). Optical genome mapping (OGM) from Bionano can enable accurate detection of SV and CNV events of sizes down to 5 kbp, with high sensitivity to detect LAF events down to 5% variant allele fraction. Bionano’s VIA™ software provides visualization and analysis support for OGM SV events including an improved Circos plot and ideogram for whole genome review. VIA incorporates CNV calling from OGM data using the SNP-FASST3 algorithm which also allows for accurate copy number calling at allele fractions as low as 10%. CNV detection performance was evaluated using 280 CNV events ranging in size from 175 kbp to 8 Mbp on the 22 autosomal chromosomes. Sensitivity and PPV were calculated for each size range separately. Using SNP-FASST3, VIA also adds the ability to detect AOH/LOH events from OGM data. By analyzing locations where known SNPs disrupt the specific nucleotide sequence motif used by the DLE-1 labeling enzyme, a B-allele frequency can be calculated and enable AOH/LOH detection at low allelic fractions. AOH/LOH performance using SNP-FASST3 was evaluated using a cohort of constitutional and cancer samples analyzed with orthogonal methods as well as with simulated events. Sensitivity for 20-25 Mbp AOH events was 92% with PPV greater than 90% at 25% aberrant cell fraction. The VIA 7.0 release also includes the ability to create a customizable decision tree using supplied reference annotation files for CNV, AOH and SV event pre-classification. VIA resources include a panel of target variants derived from various medical societies for clinical analysis guidelines specific to Acute Myeloid Leukemia (AML), Myelodysplastic Syndrome (MDS) and an aggregation of all hematological malignancy guidelines (pan-heme). These methods, combined with tools for expert review and reclassification of variants, allow users to conduct whole genome interpretation and report results. These new features in VIA provide a streamlined workflow for analyzing heterogeneous hematological cancer samples and demonstrate the analytical performance of updated approaches for detection of CNV and AOH/LOH regions at low allele fractions using optical genome mapping alone. Citation Format: Jacob Wisotsky, Aliz Raski, Westley Sherman, Megan Roytman, Samer Al-Saffar, Jen Hauenstein, Andy Wing Chun Pang, Viren Wasnikar, Neil Miller. Comprehensive analysis of hematological malignancies with optical genome mapping and Bionano VIA™Software [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3492.

Abstract 2796: Colibactin mutation signatures are associated with younger age of onset in colorectal cancer

Abstract Escherichia coli (E. coli) strains carrying the polyketide synthase (pks) island produce the genotoxin colibactin associated with pathogenesis of colorectal cancer (CRC). Colibactin binds directly to DNA, causing alkylating damage leading to double stranded DNA breaks. Colibactin mutagenesis results in mutations in hexameric A-T rich DNA motifs that can be identified by whole genome sequencing (WGS) as mutation signatures SBS28 and SBS88 (SBS-pks). Since WGS is not routinely used clinically, we developed an approach to specifically identify SBS-pks using a clinical targeted exon capture assay, MSK-IMPACT. In an institutional pan-cancer clinical cohort of 78,905 tumors we identified 15,967 samples with > 20 mutations detected by MSK-IMPACT. We identified 150/1,884 samples with microsatellite stable CRC with >10% mutations attributable to SBS-pks. Examining clinicopathologic and genomic features of SBS-pks+ compared to SBS-pks- CRC tumors, we found that SBS-pks+ signatures are significantly enriched in younger age of onset compared to SBS-pks- CRC patients (median age 55 vs median age 59, p= 0.0028). SBS-pks+ CRC exhibit similar driver mutations and tumor mutational burden (TMB) compared to SBS-pks- CRC but are associated with increased fraction of genome altered (FGA). To mechanistically investigate colibactin-associated damage we developed a novel long-term human colon organoid-microbe co-culture model system that takes advantage of reversal of polarity in suspension culture. WGS of human CRC organoids co-cultured for three months with pks+ and delta-pks E. coli NC101 confirmed induction of pks+ specific SBS-pks signatures, validating the model. Leveraging this model and a biobank of normal colon organoids from donors aged </> 50 years, we are investigating the molecular mechanisms underlying the association of SBS-pks with younger age of onset CRC. Citation Format: Stefanie Gerstberger, Melissa Lumish, Saskia Hartner, Farheen Shah, Seongmin Choi, Anisha Luthra, Qingwen Jiang, Hyung Jun Woo, Ahmed Mahmoud, Henry Walch, Simran Asawa, Mark Donoghue, Andrea Cercek, Rona Yaeger, Andrew McPherson, Francisco Sanchez-Vega, Karuna Ganesh. Colibactin mutation signatures are associated with younger age of onset in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2796.

An optimized microRNA detection platform based on PAM formation-regulated CRISPR/Cas12a activation

MicroRNAs (miRNAs) have emerged as biomarkers for the diagnosis and prognosis of various diseases, such as cancer. Recent advancements in CRISPR/Cas12a-based biosensors in combination with hybridization chain reaction (HCR) make it a promising approach for miRNA detection. To increase the compatibility of HCR and CRISPR/Cas12a, we compared two design strategies of hairpin DNA in HCR. The results showed that different arrangements of the protospacer sequence and protospacer adjacent motif (PAM) in the hairpin DNA could affect the sensing performance. The “PAM Formation” strategy, by which the duplex PAM sites are absent in the hairpin DNA and present in the long duplex DNA after HCR, exhibited advantages in detection sensitivity. By optimizing the probe sequences and reaction conditions, we developed a miRNA detection platform. With the same crRNA, this platform enables the identification of different miRNAs by simply replacing the loop region of the target recognition probe. In addition, the proposed platform can detect single-stranded DNA and distinguishing single or multiple base mutations in the target strand. The application of discriminating the target miRNA expression levels from different cell lines validated the reliability and practicability of the sensor platform, indicating its potential applications in early clinical accurate diagnosis of cancers.

Privacy-preserving federated discovery of DNA motifs with differential privacy

DNA sequence motif discovery is an important issue in gene research, which helps identify transcription factor binding sites in DNA sequences to reveal the mechanisms that regulate gene expression. However, the growing awareness of privacy protection and increasingly stringent regulations pose challenges to data collection and usage. This paper proposes DP-FLMD, a privacy-preserving federated framework for discovering DNA sequence motifs. We employ federated learning, allowing participants to store their raw data locally and upload only selected parameters to protect data privacy. Nevertheless, privacy concerns still persist, as these participant parameters may potentially compromise their privacy to some extent. To enhance privacy protection, we incorporate a differential privacy algorithm to add noise to these parameters. Additionally, we verify that the method satisfies ϵ-differential privacy through theoretical analysis. Extensive experiments are performed on six datasets, demonstrating that DP-FLMD achieves a good trade-off between privacy and utility. Besides, we investigate the effect of parameters on DP-FLMD. In the future, our research will focus on exploring enhanced privacy protection mechanisms, expanding the scope of framework applications, and further optimizing the trade-off between privacy and utility.

Structural and dynamical aspect of DNA motif sequence specific binding of AP-1 transcription factor.

Activator protein-1 (AP-1) comprises one of the largest and most evolutionary conserved families of ubiquitous eukaryotic transcription factors that act as a pioneer factor. Diversity in DNA binding interaction of AP-1 through a conserved basic-zipper (bZIP) domain directs in-depth understanding of how AP-1 achieves its DNA binding selectivity and consequently gene regulation specificity. Here, we address the structural and dynamical aspects of the DNA target recognition process of AP-1 using microsecond-long atomistic simulations based on the structure of the human AP-1 FosB/JunD bZIP-DNA complex. Our results show the unique role of DNA shape features in selective base specific interactions, characteristic ion population, and solvation properties of DNA grooves to form the motif sequence specific AP-1-DNA complex. The TpG step at the two terminals of the AP-1 site plays an important role in the structural adjustment of DNA by modifying the helical twist in the AP-1 bound state. We addressed the role of intrinsic motion of the bZIP domain in terms of opening and closing gripper motions of DNA binding helices, in target site recognition and binding of AP-1 factors. Our observations suggest that binding to the cognate motif in DNA is mainly accompanied with the precise adjustment of closing gripper motion of DNA binding helices of the bZIP domain.