Project description:Single-molecule read technologies allow for detection of epigenomic base modifications during routine sequencing by analysis of kinetic data during the reaction, including the duration between base incorporations at the elongation site (the "inter-pulse duration.") Methylome data associated with a closed de novo bacterial genome of Salmonella enterica subsp. enterica serovar Javiana str. CFSAN001992 was produced and submitted to the Gene Expression Omnibus. Single-sample sequencing and base modification detection of cultured isolate of a foodborne pathogen.
Project description:Queuosine (Q) is a conserved tRNA modification at the wobble anticodon position of tRNAs that read the codons of amino acids Tyr, His, Asn, and Asp. Q-modification in tRNA plays important roles in the regulation of translation efficiency and fidelity. Queuosine tRNA modification is synthesized de novo in bacteria, whereas the substrate for Q-modification in tRNA in mammals is queuine, the catabolic product of the Q-base of gut bacteria. This gut microbiome dependent tRNA modification may play pivotal roles in translational regulation in different cellular contexts, but extensive studies of Q-modification biology are hindered by the lack of high throughput sequencing methods for its detection and quantitation. Here, we describe a periodate-treatment method of biological RNA samples that enables single base resolution profiling of Q-modification in tRNAs by Nextgen sequencing. Periodate oxidizes the Q-base, which results in specific deletion signatures in the RNA-seq data. Unexpectedly, we found that periodate-treatment also enables the detection of several 2-thio-modifications including τm5s2U, mcm5s2U, cmnm5s2U, and s2C by sequencing in human and E. coli tRNA. We term this method Periodate-dependent analysis of queuosine and thio modification sequencing (PAQS-seq). We assess Q- and 2-thio-modifications at the tRNA isodecoder level, and 2-thio modification changes in stress response. PAQS-seq should be widely applicable in the biological studies of Q- and 2-thio-modifications in mammalian and microbial tRNAs.
Project description:The modification N6-methyladenosine (m6A) affects rates of translation and degradation of mRNA transcripts. We analyzed m6A across the transcriptome following infection by dengue virus (DENV), Zika virus (ZIKV), West Nile virus (WNV), and hepatitis C virus (HCV) using MeRIP-seq. We used the uninfected replicates, among which we would expect little biological variation in methylation, as negative controls to validate statistical methods for the detection of m6A changes in MeRIP-seq data. Applying validated statistical methods, we found that innate immune response to Flaviviridae viruses alters m6A modification of specific cellular transcripts compared to uninfected controls. Finally, we find that these changes in m6A can in turn affect splicing or translation of genes relevant to infection.
Project description:Cytosine deaminases have important uses in the detection of epigenetic modifications and in genome editing. However, the range of applications of deaminases is limited by their substrate preference. To expand the toolkit of deaminases, we developed an in-vitro approach that bypasses a major hurdle with their severe toxicity in expression hosts. We screened 175 putative cytosine deaminases, primarily from bacteria, and found enzymes with strong activity on double- and single-stranded DNA in various sequence contexts, including some without any sequence constraints. We also found enzymes that do not deaminate modified cytosines. The remarkable diversity of cytosine deaminases opens new avenues for biotechnological and medical applications. As a demonstration, we developed a single-enzyme methylation sequencing (SEM-seq) method for 5-methylcytosine detection using a novel non-specific, modification-sensitive double-stranded DNA deaminase, MsddA. SEM-seq generated accurate base-resolution maps of 5-methylcytosine in human genome samples including cell free DNA and samples of 10 pg DNA, equivalent to single cell input. This simple and efficient protocol has the potential to allow high-throughput epigenome profiling of scarce biological material.
2023-10-05 | GSE233932 | GEO
Project description:Modification and optimization of Base Editors
Project description:Transient transcriptome sequencing and kinetic modeling suggest how the kinetics and yield of RNA splicing are encoded in the human genome.
Project description:Mapping genome-wide 5-hydroxymethylcytosine (5hmC) and 5-formylcytosine (5fC) at single-base resolution is important to understand their biological functions. We present a cost-efficient mapping method that combines 5hmC-specific restriction enzyme PvuRts1I with a 5hmC enrichment method. The sensitive method enables detection of low abundant 5hmC sites, providing a more complete 5hmC landscape than available bisulfite-based methods. This method generated the first genome-wide 5fC map at single-base resolution. Parallel analyses revealed that 5hmC and 5fC existed with lower abundance and more dynamically in non-CpG context than in CpG context. In the genic region, distribution of 5hmCpG and 5fCpG differed from 5hmCH and 5fCH (H=A, T, C). 5hmC and 5fC were distributed distinctly at regulatory protein-DNA binding sites, depleted in permissive transcription factor binding sites, and enriched at active and poised enhancers. This sensitive bisulfite-conversion free method can be applied to biological samples with limited starting material or low abundance of cytosine modifications. Sensitive mapping of genome-wide 5-hydroxymethylcytosine and 5-formylcytosine in mouse embryonic stem cell at single-base resolution by combining 5-hydroxymethylcytosine specific restriction enzyme PvuRts1I and 5-hydroxymethylcytosine enrichment method (selective chemical labeling or SEAL)
Project description:Until now, it has been reasonably assumed that specific base-pair recognition is the only mechanism controlling the specificity of transcription factor (TF)−DNA binding. Contrary to this assumption, here we show that nonspecific DNA sequences possessing certain repeat symmetries, when present outside of specific TF binding sites (TFBSs), statistically control TF−DNA binding preferences. We used high-throughput protein−DNA binding assays to measure the binding levels and free energies of binding for several human TFs to tens of thousands of short DNA sequences with varying re- peat symmetries. Based on statistical mechanics modeling, we iden- tify a new protein−DNA binding mechanism induced by DNA se- quence symmetry in the absence of specific base-pair recognition, and experimentally demonstrate that this mechanism indeed gov- erns protein−DNA binding preferences.
2014-10-01 | GSE61920 | GEO
Project description:Pseudouridine modification detection in mRNA
Project description:5-methylcytosine (5mC) is the most important DNA modification in mammalian genomes as a lineage-defining mark dynamically altered in development and disease. The ideal method for 5mC localization would be both non-destructive of DNA and direct, without requiring inference based on detection of unmodified cytosines. Here, we present Direct Methylation Sequencing (DM-Seq), a bisulfite-free method for profiling 5mC at single-base resolution, using nanogram quantities of input DNA. DM-Seq employs two key DNA modifying enzymes: a neomorphic DNA methyltransferase engineered to generate the unnatural base 5-carboxymethylcytosine, and a DNA deaminase capable of precise discrimination between cytosine modification states. Coupling these activities requires a novel adapter strategy employing 5-propynylcytosine, ultimately resulting in the accurate and direct detection of only 5mC via a C-to-T transition in sequencing. In performing comparisons to DM-Seq, we uncover a systematic bias in 5mC detection seen with the hybrid enzymatic-chemical TAPS sequencing approach. Furthermore, by applying DM-Seq to a human glioblastoma tumor, we demonstrate that DM-Seq, unlike bisulfite-sequencing, detects 5mC at prognostically-important CpGs, without confounding by 5-hydroxymethylcytosine. DM-Seq thus leverages unnatural DNA modifications to create the first method for direct 5mC profiling entirely using enzymes rather than chemical reagents.