Project description:We developed a general method based on RNA Antisense Purification (RAP) to identify the intermolecular RNA-RNA interactions of a target RNA (RAP-RNA). RAP-RNA identifies endogenous RNA-RNA complexes through in vivo crosslinking, RNA capture with antisense oligonucleotides, and high-throughput RNA sequencing. This approach provides a systematic view of other RNAs that interact with a target RNA, and furthermore can distinguish between direct and indirect RNA-RNA interactions through the use of crosslinking reagents with different reactivities with proteins and nucleic acids. We applied this method to numerous small and large noncoding RNAs, including U1 snRNA, Malat1 lncRNA, Xist lncRNA, U3 snoRNA, U17/Snora73a snoRNA and U12 snRNA. We examined the RNA and chromatin interactions of ncRNAs in mouse embryonic stem cells. We developed and applied three related protocols: RAP-RNA[AMT], RAP-RNA[FA], and RAP-RNA[FA-DSG]. In the RAP-RNA[AMT] protocol, we fixed direct RNA-RNA hybrids in mouse embryonic stem (ES) cells with 4'-aminomethyltrioxalen (AMT), a psoralen-derivative crosslinker; AMT generates inter-strand crosslinks between uridine bases in RNA but does not react with proteins. In the RAP-RNA[FA] protocol, we used a different crosslinking strategy to capture both direct and indirect RNA-RNA interactions: we fixed ES cells using formaldehyde (FA), which crosslinks protein-RNA and protein-protein interactions and thus can capture both indirect interactions as well as direct interactions that are caged or flanked by proteins. In the RAP-RNA[FA-DSG] protocol, we fixed with both FA and disuccinimidyl glutarate (DSG), a strong protein-protein crosslinker, to more efficiently capture RNAs linked indirectly through multiple protein intermediates.
Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
2024-02-22 | GSE256318 | GEO
Project description:Nuclear Phylogenetics of Funariaceae using Target Capture
Project description:Our data demonstrate the suitability of target capture technology for purifying very low quantities of Leptospira DNA from biological samples where the human genome is in vast excess. This enables deep sequencing of partial Leptospira genomes directly from clinical samples using next generation technologies and genotyping.
Project description:we determine genome-wide binding profiles of a maize CCA1 homolog, ZmCCA1b, in maize inbreds and F1 hybrids at different times of the day. ZmCCA1b is characterized as a central clock regulator gene with evolutionarily conserved molecular and circadian functions and nonadditively expressed in F1 hybrid seedlings. ZmCCA1b binds to over 4,300 target genes in the maize genomes, of which annotation confirms energy metabolic pathways as the main output. We report that an altered temporal binding activity of ZmCCA1b in the hybrid seedlings, which increases expression of carbon fixation genes, increases carbon fixation rates and biomass, demonstrating a novel example of how circadian-regulatory networks directly contribute to growth vigor in maize hybrids. These results collectively offer new insights into clock-mediated regulation of growth vigor in hybrid plants and crops. Profiling genome-wide binding events of ZmCCA1b in the maize inbreds and F1 hybrids at ZT3, ZT9 and ZT15 using chromatin immunoprecipitation followed by deep sequencing (ChIP-seq). 2 biological replicates for each sample were used. Input DNA sample corresponding to each ChIP sample was also sequenced in parallel. We have developed a native antibody for the protein (GRMZM2G014902; epitope: residues 11-77) for the ChIP-seq study.
Project description:In the quick cross-linking ligation and sequencing of hybrids (qCLASH) protocol, RNA-protein (RNP) complexes of interest are UV cross-linked in living cells. The protein of interest is purified by immunoprecipitation (in this case, AGO bound to the miRNA and the target gene). The two interacting RNA molecules (e.g. miRNA-mRNA) are physically bound to each other by intermolecular RNA-RNA ligation, followed by library preparation and sequencing oh hybrids.
Project description:We report the identification of potential novel RNA targets for box C/D snoRNAs in human HEK293 cells, using the approaches of UV crosslinking and sequencing of hybrids (CLASH), and formaldehyde crosslinking and sequencing of hybrids (FLASH).