Biology subjects

Yin, J.

Publications and source records attributed to Yin, J..

At least 109 records · Page 6Linked to original sources

bioRxiv2022

Heritability and host genomic determinants of switchgrass root-associated microbiota in field sites spanning its natural range.

A fundamental goal in plant microbiome research is to determine the relative impacts of host and environmental effects on root microbiota composition, particularly how host genotype impacts bacterial community composition. Most studies characterizing the effect of plant genotype on root microbiota undersample host genetic diversity and grow plants outside of their native ranges, making the associations between host and microbes difficult to interpret. Here we characterized the root microbiota of a large population of switchgrass, a North American native C4 bioenergy crop, in three field locations spanning its native range. Our data, composed of >2000 samples, suggest field location is the primary determinant of microbiome composition; however, substantial heritable variation is widespread across bacterial taxa, especially those in the Sphingomonadaceae family. Despite diverse compositions, we find that relatively few highly prevalent bacterial taxa make up the majority of the switchgrass root microbiota, a large fraction of which is shared across sites. Local genotypes preferentially recruit / filter for local microbes, supporting the idea of affinity between local plants and their microbiota. Using genome-wide association, we identified loci impacting the abundance of >400 microbial strains and found an enrichment of genes involved in immune responses, signaling pathways, and secondary metabolism. We found loci associated with over half of the core microbiota (i.e. microbes in >80% of samples) regardless of field location. Finally, we show a genetic relationship between a basal plant immunity pathway and relative abundances of root microbiota. This study brings us closer to harnessing and manipulating beneficial microbial associations via host genetics.

plant biology↗

bioRxiv2022

Elemental diet enriched in amino acids alters gut microbial community and prevents colonic mucus degradation in mice with colitis

The role of dietary amino acids or intact proteins in the progression of colitis remains controversial, and the mechanism involving gut microbes is unclear. Here, we investigated the effects of an elemental diet (ED) enriched in amino acids and a polymeric diet enriched in intact protein on the pathogenesis of DSS-induced colitis in mice. Our results showed that ED induced remission of colitis in mice. Notably, ED treatment reduced the abundance of the mucolytic bacteria Akkermansia and Bacteroides, which was attributed to the decreased colonic protein fermentation. Consistently, the activities of mucolytic enzymes were decreased, leading to the protection of mucus layer degradation and microbial invasion. The fecal microbiota transplantation of ED-fed mice reshaped microbial ecology and alleviated intestinal inflammation in recipient mice. ED failed to induce remission of colitis in pseudo-germ-free mice. Together, we convincingly demonstrated the critical role of gut microbiota in the prevention of ED on colitis. ImportanceThe prevalence of inflammatory bowel disease is rapidly increasing and has become a global burden. Several specific amino acids have been shown to benefit mucosal healing and colitis remission. However, the role of amino acids or intact proteins in diets and enteral nutrition formulas is controversial, and the mechanisms involving gut microbes remain unclear. In this study, we investigated the effects of an elemental diet (ED) enriched in amino acids and a polymeric diet enriched in intact protein on the pathogenesis of colitis in mice. The underlying mechanisms were explored by utilizing fecal microbiota transplantation and pseudo-germ-free mice. ED treatment reduced the abundance of mucolytic bacteria, thereby protecting the mucus layer from microbial invasion and degradation. For the first time, we convincingly demonstrated the critical role of gut microbiota in the effects of ED. This study may provide new insights into the gut microbiota-diet interaction in human health.

microbiology↗

bioRxiv2022

Cell-type specific transcriptomics reveals roles for root hairs and endodermal barriers in interaction with beneficial rhizobacterium

Growth-promoting bacteria can boost crop productivity in a sustainable way. Pseudomonas simiae WCS417 is a well-studied bacterium that promotes growth of many plant species. Upon colonization, WCS417 affects root system architecture resulting in an expanded root system. Both immunity and root system architecture, are controlled by root-cell-type specific biological mechanisms, but it is unknown how WCS417 affects these mechanisms. Therefore, here, we transcriptionally profiled five Arabidopsis thaliana root cell types following WCS417 colonization. The cortex and endodermis displayed the most differentially expressed genes, even though they were not in direct contact with this epiphytic bacterium. Many of these genes are associated with reduced cell wall biogenesis, possibly facilitating the root architectural changes observed in WCS417-colonized roots. Comparison of the transcriptome profiles in the two epidermal cell types that were in direct contact with WCS417 - trichoblasts that form root hairs and atrichoblasts that dont - imply functional specialization. Whereas basal expression levels of nutrient uptake-related genes and defense-related genes are highest in trichoblasts and atrichoblasts, respectively, upon exposure to WCS417 these roles revert. This suggests that root hairs participate in the activation of root immunity, further supported by attenuation of immunity in a root hairless mutant. Furthermore, we observed elevated expression of suberin biosynthesis genes and increased deposition of suberin in the endodermis in WCS417-colonized roots. Using an endodermal barrier mutant we show the importance of endodermal barrier integrity for optimal plant-beneficial bacterium association. Altogether, we highlight the strength of cell-type-specific transcriptional profiling to uncover "masked" biological mechanisms underlying successful plant-microbe associations.

plant biology↗

bioRxiv2022

A genotoxic antibody drug conjugate targeting CD276/B7H3 demonstrates efficacy across multiple biomarker defined classes of treatment refractory metastatic prostate cancer

Antibody-drug conjugates (ADCs) are promising targeted cancer therapy; however, patient selection based solely on target antigen expression without consideration for cytotoxic payload vulnerabilities has plateaued clinical benefits. Biomarkers to capture patients who might benefit from specific ADCs have not been systematically determined for any cancer. We present a comprehensive therapeutic and biomarker analysis of a B7H3-ADC with pyrrolobenzodiazepine(PBD) payload in 26 treatment-resistant, metastatic prostate cancer(mPC) models. B7H3 is a tumor-specific surface protein widely expressed in mPC, and PBD is a DNA cross-linking agent. B7H3 expression was necessary but not sufficient for B7H3-PBD-ADC responsiveness. RB1 deficiency and/or replication stress, characteristics of poor prognosis, conferred sensitivity and were associated with complete tumor regression in both neuroendocrine (NEPC) and androgen receptor positive(ARPC) prostate cancer models, even with low B7H3 levels. Non-ARPC models, which are currently lacking efficacious treatment, demonstrated the highest replication stress and were most sensitive to treatment. In RB1 wild-type ARPC tumors, SLFN11 expression or select DNA repair mutations in SLFN11 non-expressors governed response. Significantly, wild-type TP53 predicted non-responsiveness (7/8 models). Overall, biomarker-focused selection of models led to high efficacy of in vivo treatment. These data enable a paradigm shift to biomarker-driven trial designs for maximizing clinical benefit of ADC therapies.

cancer biology↗

bioRxiv2022

The phosphoproteome is a first responder in tiered cellular adaptation to chemical stress followed by proteomics and transcriptomics alteration

Next-generation risk assessment for environmental chemicals and ingredients in consumer products involves a weight of evidence (WoE) framework integrating a suite of new approach methodologies (NAMs) based on points of departure (PoD) obtained from in vitro assays. Omics techniques provide broad coverages of the molecular toxicity pathway space. Transcriptomics assays especially play a leading role by providing relatively conservative PoDs in comparison with apical endpoints. However, it is unclear whether and how parameters measured using other omics technicquesparticipate in the cellular response to chemical perturbations, especially at exposure levels below the transcriptomically defined PoD. Multi-omics coverage may provide additional sensitive or confirmative biomarkers to complement and reduce the uncertainty in safety decisions made using targeted and transcriptomics assays. In the present study, we compared changes in transcriptomics, proteomics and phosphoproteomics with two prototype compounds, coumarin, as a main study and doxorubicin, as a complementary study to understand the sensitivity of the three omics techniques in response to chemically-induced changes in HepG2 and AC16 cells. With measurements obtained for multiple chemical concentrations and time points, we demonstrated that, compared with proteomics and transcriptomics, phosphoproteomics alterations occur not only earlier in time as expected, but also at much lower chemical concentrations and hence are proximal to the very early effects induced by chemical exposure. The phosphoproteomics changes appear to approach maximum when the transcriptomics alterations begin to be initiated. The results are consistent with a tiered framework of cellular response to chemical insults, where posttranslational modification of preexisting proteins is first seen before transcriptomics induction is engaged to launch a more energy-expensive defense that defines a useful PoD. We conclude that as the cost becomes more affordable, proteomics covering posttranslational modifications can be utilized to provide a more complete coverage of chemical-induced cellular alteration and supplement transcriptomics-based health safety decision making.

pharmacology and toxicology↗

bioRxiv2022

A cancer stem cell population underlies a multi-lineage phenotype and drug resistance in prostate cancer

PurposeTo resist lineage-dependent therapies such as androgen receptor inhibition in prostate cancer, cancer cells often adopt a stem-like state resulting in lineage-plasticity and phenotypic heterogeneity. We assessed the dynamics of lineage determination and cellular subpopulation expansion in treatment-resistant adenocarcinoma, amphicrine, and small cell neuroendocrine castrate resistant prostate cancers (CRPCs). Experimental DesignWe developed CRPC patient-derived organoid models that preserve heterogeneity of the originating tumor, including an amphicrine model harboring epigenetic driver mutations, ARID1A and ARID1B, and displaying a range of luminal and neuroendocrine phenotypes. We used single-cell RNA-seq, barcode lineage-tracing, single-cell ATAC-seq, and RNA-FISH to delineate the subpopulation structure of the heterogeneous organoids and define the lineage hierarchy, determine potential transcriptional regulators of amphicrine lineage-plasticity, and identify subpopulation-specific molecular targets for therapeutic intervention. ResultsTranscriptionally similar stem/progenitor cells were identified for all lineage populations. Lineage tracing in amphicrine CRPC showed that heterogeneity originated from distinct subclones of infrequent stem/progenitor cells that produced mainly quiescent differentiated amphicrine progeny. Amphicrine cells were enriched for secretory luminal, mesenchymal, and enzalutamide treatment persistent signatures. By contrast, adenocarcinoma CRPC had a less defined hierarchy, as progeny originated from stem/progenitor cells and self-renewing differentiated luminal cells. NEPC was composed almost exclusively of self-renewing stem/progenitor cells. Amphicrine stem cells demonstrated concurrent transcription factor activities associated with stem/progenitor, luminal epithelial and mesenchymal lineages. Finally, the amphicrine stem/progenitor subpopulation was specifically depleted with an AURKA inhibitor, which blocked tumor growth. ConclusionsThese data illuminate distinct origins and dynamics of subtype-specific CRPC plasticity in addition to demonstrating a strategy for targeting differentiation-competent stem cells. Translational RelevanceFor advanced prostate cancer, therapeutic resistance to androgen signaling suppression increasingly involves the development of lineage plasticity. The cellular states of transition and subpopulation heterogeneity that underlie lineage-plasticity are not well understood, which is an ongoing challenge to the design of effective treatments. Using patient-derived organoid models of various CRPC lineage subtypes, we observed distinct patterns with respect to stem/progenitor activity and associated growth phenotypes. The simultaneous expression of AR-driven and neuroendocrine identities, so-called amphicrine tumors, are thought to be an early dedifferentiation stage in plasticity-mediated resistance. We observed in an epigenetically-driven, amphicrine model of CRPC that a rare but necessary bipotent stem/progenitor population is suppressed by AURKA inhibitors, leading to tumor regression, while ARPC demonstrates both self-renewing differentiated luminal cells and stem/progenitors. These data suggest that AURKA inhibition may block the amplification of a resistance dedifferentiation pathway and should be considered in combination with AR signaling inhibitors for ARPC with characteristics of lineage plasticity.

cancer biology↗

bioRxiv2022

PSGL-1 directs early TCR signaling to repress metabolism and promote T cell exhaustion by modulating the TCF-1/TOX axis in CD8+ T cells.

Summary/AbstractWe previously identified the adhesion molecule PSGL-1 as a T cell intrinsic immune checkpoint regulator of T cell exhaustion. Here we show that the ability of PSGL-1 to restrain TCR sginaling correlates with decreased expression of the Zap70 inhibitor Ubash3b (Sts-1) in PSGL-1-deficient T cells. PSGL-1-deficency in T cells supports antitumor responses to a PD-1 blockade resistant melanoma wherein tumor-specific CD8+ T cells sustain an enhanced metabolic state, with an elevated metabolic gene signature that promotes increased glycolysis and glucose uptake to support effector functions. In models of chronic virus infection and cancer, this outcome was associated with CD8+ T cell stemness, as PSGL-1 deficient CD8+ T cells displayed increased TCF-1 and decreased TOX expression, a phenotype shown to be crucial for responsiveness to checkpoint inhibition. Further, we demonstrate that PSGL-1 signaling promotes development of exhaustion in human CD8+ T cells. Finally, pharmacologic blockade of PSGL-1 was sufficient to curtail T cell exhaustion and enhance functionality both with melanoma tumors and chronic LCMV infection, demonstrating that PSGL-1 represents a therapeutic target for immunotherapy for PD-1/PD-L1 resistant tumors.

immunology↗

bioRxiv2022

Core Transcription Programs Controlling Injury-Induced Neurodegeneration of Retinal Ganglion Cells

Neurodegenerative diseases are characterized by neuronal death and regenerative failure. However, gene regulatory programs governing how initial neuronal injuries lead to neuronal death remain poorly understood. In adult mice, optic nerve crush (ONC) injury, which severs all axons of retinal ganglion cells (RGCs), results in massive death of axotomized RGCs and regenerative failure of survivors. We performed an in vivo CRISPR/Cas9-based genome-wide screen of 1893 transcription factors (TFs) to seek repressors of RGC survival and axon regeneration following ONC. In parallel, we profiled the epigenetic and transcriptional landscapes of injured RGCs by ATAC-seq and RNA-seq to identify critical injury responsive TFs and their targets. Remarkably, these independent analyses converged on a set of four ATF/CEBP transcription factors - ATF3, ATF4, C/EBP{gamma} and CHOP (Ddit3) - as critical regulators of survival. Further studies indicate that these TFs contribute to two pro-death transcriptional programs: ATF3/CHOP preferentially regulate pathways activated by cytokines and innate immunity, whereas ATF4/C/EBP{gamma} regulate pathways engaged by intrinsic neuronal stressors. Manipulation of these TFs also protects RGCs in an experimental model of glaucoma, a prevalent disease in which RGCs die. Together, our results reveal core transcription programs that transform an initial axonal insult into a degenerative result and suggest novel strategies for treating neurodegenerative diseases.

neuroscience↗

bioRxiv2022

Rsc3K, a SMV resistance gene localized on chromosome 2 in soybean cv. Kefeng No.1, interacts with virulence determinant P3

Soybean mosaic virus (SMV) is one of the most devastating viral pathogens in Glycine max (L.) Merr (soybean). Twenty-two SMV strains (SC1-SC22) isolated in China were identified based on their responses to ten soybean cultivars. By using the F2-derived F3 (F2:3) and recombinant inbred line (RIL) populations of resistant Soybean cultivar (cv.) Kefeng No.1 x susceptible cv. Nannong 1138-2, we localized the gene mediating resistant to SMV-SC3 strain to a 90 kb interval on chromosome 2 in Kefeng No.1. Bean pod mottle virus (BPMV)-induced gene silencing (VIGS) were used to study the gene function of candidate genes in the mapping interval and revealed that an recombinant gene, later named as Rsc3K, caused by internal deletion of a genomic DNA frag ement in Kefeng No.1, is the resistant gene to SMV-SC3. By shuffling genes between avirulent isolate SC3 and avirulent SMV isolate 1129, we found that P3 is the virulence determinant causing resistance on Kefeng No.1. We showed the interaction between Rsc3K and P3 by the yeast two-hybrid (Y2H) and bimolecular fluorescent complementation (BiFC) assays. In conclusion, this study demonstrated that Rsc3K plays a crucial role in resistance of Kefeng No.1 to SMV-SC3 by direct interaction with viral protein P3. HighlightRsc3K resistant to SMV-SC3 by interacting with P3.

molecular biology↗

bioRxiv2021

Language Models for the Prediction of SARS-CoV-2 Inhibitors

The COVID-19 pandemic highlights the need for computational tools to automate and accelerate drug design for novel protein targets. We leverage deep learning language models to generate and score drug candidates based on predicted protein binding affinity. We pre-trained a deep learning language model (BERT) on [~]9.6 billion molecules and achieved peak performance of 603 petaflops in mixed precision. Our work reduces pre-training time from days to hours, compared to previous efforts with this architecture, while also increasing the dataset size by nearly an order of magnitude. For scoring, we fine-tuned the language model using an assembled set of thousands of protein targets with binding affinity data and searched for inhibitors of specific protein targets, SARS-CoV-2 Mpro and PLpro. We utilized a genetic algorithm approach for finding optimal candidates using the generation and scoring capabilities of the language model. Our generalizable models accelerate the identification of inhibitors for emerging therapeutic targets.

bioinformatics↗

bioRxiv2021

Cohesin modulates DNA replication to preserve genome integrity

Cohesin participates in loop formation by extruding DNA fibers from its ring-shaped structure. Cohesin dysfunction eliminates chromatin loops but only causes modest transcription perturbation, which cannot fully explain the frequently observed mutations of cohesin in various cancers. Here, we found that DNA replication initiates at more than one thousand extra dormant origins after acute depletion of RAD21, a core subunit of cohesin, resulting in earlier replicating timing at approximately 30% of the human genomic regions. In contrast, CTCF is dispensable for suppressing the early firing of dormant origins that are distributed away from the loop boundaries. Furthermore, greatly elevated levels of gross DNA breaks and genome-wide chromosomal translocations arise in RAD21-depleted cells, accompanied by dysregulated replication timing at dozens of hotspot genes. Thus, we conclude that cohesin coordinates DNA replication initiation to ensure proper replication timing and safeguards genome integrity.

genetics↗

bioRxiv2021

Assessment of AI-based Protein Structure Prediction for the NLRP3 Target

The recent success of AlphaFold and RoseTTAFold has demonstrated the values of AI methods in predicting highly accurate protein structures. Despite the advances, their roles in the context of small-molecule drug discovery need to be thoroughly explored. In this study, we evaluated whether the AI-based models can lead to reliable three-dimensional structures of protein-ligand complexes. The structure we predicted was NLRP3, a challenging protein target in terms of obtaining the three-dimensional model both experimentally and computationally. The conformation of the binding pockets generated by the AI models were carefully characterized and compared with experimental structures. Further molecular docking results indicated that AI-predicted protein structures combined with molecular dynamics simulations can be useful in small-molecule drug discovery.

biochemistry↗

bioRxiv2021

Patient-derived zebrafish xenograft models reveal ferroptosis as a fatal and druggable weakness in metastatic uveal melanoma

Uveal melanoma (UM) is the most common intraocular melanoma, derived from transformed melanocytes of the uvea. Although treatment of primary UM is usually successful, there is a high risk (up to 50%) of liver metastasis with negligible long-term survival. There are currently no reproducible patient-derived animal models that faithfully recapitulate the latter stages of metastatic dissemination of UM, hindering the discovery of curative treatments. To overcome this problem and to accelerate the development of new metastatic UM treatments, we developed a patient-derived zebrafish xenograft (zf-PDX) model, using spheroid cultures generated from metastatic and primary UM tissues. Engrafted UM cells derived from these spheroid cultures give rise to metastatic lesions and recapitulate the molecular features of UMs and their potential drug sensitivity. Importantly, harnessing this versatile model, we reveal a high sensitivity of circulating UM cells to ferroptosis induction in vivo by Erastin and RSL3. Our findings are further corroborated by supportive analysis of patient data implicating ferroptosis as a new, and druggable, target for the treatment of metastatic UM patients, specifically in those with BAP1 loss in the tumor.

cancer biology↗

bioRxiv2021

Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) replication transcription complex (RTC) is a multi-domain protein responsible for replicating and transcribing the viral mRNA inside a human cell. Attacking RTC function with pharmaceutical compounds is a pathway to treating COVID-19. Conventional tools, e.g., cryo-electron microscopy and all-atom molecular dynamics (AAMD), do not provide sufficiently high resolution or timescale to capture important dynamics of this molecular machine. Consequently, we develop an innovative workflow that bridges the gap between these resolutions, using mesoscale fluctuating finite element analysis (FFEA) continuum simulations and a hierarchy of AI-methods that continually learn and infer features for maintaining consistency between AAMD and FFEA simulations. We leverage a multi-site distributed workflow manager to orchestrate AI, FFEA, and AAMD jobs, providing optimal resource utilization across HPC centers. Our study provides unprecedented access to study the SARS-CoV-2 RTC machinery, while providing general capability for AI-enabled multi-resolution simulations at scale.

biophysics↗

bioRxiv2021

Molecular assembly of measles and Nipah virus: specific lipid binding drives conformational change and matrix polymerization

Measles virus, Nipah virus, and multiple other paramyxoviruses cause disease outbreaks in humans and animals worldwide. The paramyxovirus matrix (M) protein mediates virion assembly and budding from host cell membranes. M is thus a key target for antivirals, but few high-resolution structures of paramyxovirus M are available, and we lack the clear understanding of how viral M proteins interact with membrane lipids to mediate viral assembly and egress needed to guide antiviral design. Here, we reveal that M proteins associate with phosphatidylserine and phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) at the plasma membrane. Using X-ray crystallography, electron microscopy, and molecular dynamics we demonstrate that PI(4,5)P2 binding induces conformational and electrostatic changes in the M protein surface that trigger membrane deformation, matrix layer polymerization, and virion assembly.

microbiology↗

bioRxiv2021

Epigenetic Remodeling by Vitamin C Potentiates the Differentiation of Mouse and Human Plasma Cells

Ascorbate (vitamin C) is an essential micronutrient in humans. The chronic severe deficiency of ascorbate, termed scurvy, has long been associated with increased susceptibility to infections. How ascorbate affects the immune system at the cellular and molecular levels remained unclear. Here, from a micronutrient screen, we identified ascorbate as a potent enhancer for antibody response by facilitating the IL-21/STAT3-dependent plasma cell differentiation in mouse and human B cells. The effect of ascorbate is unique, as other antioxidants failed to promote plasma cell differentiation. Ascorbate is critical during early B cell activation by poising the cells to plasma cell lineage without affecting the proximal IL-21/STAT3 signaling and the overall transcriptome. Consistent with its role as a cofactor for epigenetic enzymes, ascorbate potentiates plasma cell differentiation by remodeling the epigenome via TET (Ten Eleven Translocation), the enzymes responsible for DNA demethylation by oxidizing 5-methylcytosines into 5-hydroxymethylcytosine (5hmC). Genome-wide 5hmC profiling identified ascorbate responsive elements (EAR) at the Prdm1 locus, including a distal element with a STAT3 motif overlapped with a CpG that was methylated and modified by TET in the presence of ascorbate. The results suggest that an adequate level of VC is required for antibody response and highlight how micronutrients regulate the activity of epigenetic enzymes to regulate gene expression. Our findings imply that epigenetic enzymes can function as sensors to gauge the availability of metabolites and influence cell fate decisions.

immunology↗

bioRxiv2021

GLIS1 regulates trabecular meshwork function and intraocular pressure and is associated with glaucoma in humans

Chronically elevated intraocular pressure (IOP) is the major risk factor of primary open- angle glaucoma, a leading cause of blindness. Dysfunction of the trabecular meshwork (TM), which controls the outflow of aqueous humor (AqH) from the anterior chamber, is the major cause of elevated IOP. Here, we demonstrate that mice deficient in the Kruppel- like zinc finger transcriptional factor GLI-similar-1 (GLIS1) develop chronically elevated IOP. Magnetic resonance imaging and histopathological analysis reveal that deficiency in GLIS1 expression induces progressive degeneration of the TM, leading to inefficient AqH drainage from the anterior chamber and elevated IOP. Transcriptome and cistrome analyses identified several glaucoma- and extracellular matrix-associated genes as direct transcriptional targets of GLIS1. We also identified a significant association between GLIS1 variant rs941125 and glaucoma in humans (P=4.73x10-6), further supporting a role for GLIS1 into glaucoma etiology. Our study identifies GLIS1 as a critical regulator of TM function and maintenance, AqH dynamics, and IOP.

molecular biology↗

bioRxiv2021

Sequencing uracil in DNA at single-nucleotide resolution

As an aberrant base in DNA, uracil is generated by dUMP misincorporation or cytosine deamination, and involved in multiple physiological and pathological processes. Current methods for whole-genome mapping of uracil all rely on uracil-DNA N-glycosylase (UNG) and are limited in resolution or specificity. Here, we present a UNG-independent Single-Nucleotide resolution Uracil Sequencing (SNU-seq) method utilizing the UdgX protein which specifically excises the uracil and forms a covalent bond with the resulting deoxyribose. SNU-seq was validated on synthetic DNA and applied to mammalian genomes. We found that the uracil content of pemetrexed-treated cells fluctuated along with DNA replication timing. We also accurately detected uracil introduced through cytosine deamination by the cytosine base editor (nCas9-APOBEC) and verified uracil occurrence in "WRC" motif within Activation-Induced Cytidine Deaminase (AID) hotspot regions in CSR-activated UNG -/- B cells.

biochemistry↗