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Optimized photochemistry and enzymology enable efficient analysis of RNA structures and interactions in cells

ABSTRACT: Optimized photochemistry and enzymology enable efficient analysis of RNA structures and interactions in cells

PROVIDER: PRJNA628878 | ENA |

REPOSITORIES: ENA

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Optimized photochemistry and enzymology enable efficient analysis of RNA structures and interactions in cells

Project description:RNA has the intrinsic property to base pair, forming complex structures fundamental to its diverse functions. Direct determination of RNA structures and interactions in living cells remain a major challenge in biology. Crosslinking and proximity-ligation-based approaches, such as PARIS (Psoralen Analysis of RNA Interactions and Structures), offer many advantages, such as the ability to directly capture complex RNA duplexes in cells with single molecule accuracy, near base pair resolution in high throughput and without size limit. Based on a systematic optimization of the photochemistry and enzymology, here we present PARIS2, a re-invented method for capturing RNA duplexes with >3000-fold improved efficiency. PARIS2 captures ribosome small subunit binding sites on mRNAs, thus reporting translation process. PARIS2 also captures the snRNP binding sites on various types of RNA targets. We applied PARIS2 to enterovirus D-68, a re-emerging viral pathogen associated with severe neurological symptoms and discovered dynamic/alternative conformations in the 5’UTR. The new photochemical and enzymological improvements and the PARIS2 method should be widely applicable to basic RNA research and RNA-related diseases.

2021-03-04 | GSE149493 | GEO

Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription

Project description:Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription

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CLUSTER guide RNAs enable precise and efficient RNA editing with endogenous ADAR enzymes in vivo

Project description:CLUSTER guide RNAs enable precise and efficient RNA editing with endogenous ADAR enzymes in vivo

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Optimized base editors enable efficient editing in cells, organoids and mice.

Project description:CRISPR base editing enables the creation of targeted single-base conversions without generating double-stranded breaks. However, the efficiency of current base editors is very low in many cell types. We reengineered the sequences of BE3, BE4Gam, and xBE3 by codon optimization and incorporation of additional nuclear-localization sequences. Our collection of optimized constitutive and inducible base-editing vector systems dramatically improves the efficiency by which single-nucleotide variants can be created. The reengineered base editors enable target modification in a wide range of mouse and human cell lines, and intestinal organoids. We also show that the optimized base editors mediate efficient in vivo somatic editing in the liver in adult mice.

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CLUSTER guide RNAs enable precise and efficient RNA editing with endogenous ADAR enzymes in vivo

Project description:RNA base editing represents a promising alternative for genome editing. Recent approaches harness the endogenous RNA editing enzyme ADAR to circumvent problems related to the ectopic expression of an editing enzyme, but they suffer from sequence restriction, lack of efficiency, and bystander editing. Here, we present in‐silico optimized CLUSTER guide RNAs, which bind their target mRNAs in a multivalent fashion and thereby enable editing with unprecedented precision as shown by next generation sequencing. CLUSTER guide RNAs can be genetically encoded and manufactured into viruses to work in various cell lines. They achieve on‐target editing on endogenous transcripts like GUSB and NUP43 with yields up to 45% without bystander editing and have been shown to recruit endogenous ADAR in vivo. The CLUSTER approach tremendously enlarges the sequence space available for guide RNA design and opens new avenues for drug development in the field of RNA base editing.

2021-09-20 | GSE184244 | GEO

HI-C 2.0: AN OPTIMIZED HI-C PROCEDURE FOR HIGH-RESOLUTION GENOME-WIDE MAPPING OF CHROMOSOME CONFORMATION

Project description:Chromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol for Hi-C (Hi-C 2.0) that integrates recent improvements into a single protocol for efficient and high-resolution capture of chromatin interactions. This protocol combines chromatin digestion and frequently cutting enzymes to obtain kilobase (Kb) resolution. It also includes steps to reduce random ligation and the generation of uninformative molecules, such as unligated ends, to improve the amount of valid intra-chromosomal read pairs. This protocol allows for obtaining information on conformational structures such as compartment and topologically associating domains, as well as high-resolution conformational features such as DNA loops.

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Pig Synthetic Blastocyst-like Structures from Embryonic Stem Cells

Project description:We developed an efficient method to generate porcine blastocyst-like structures (termed blastoids) from ESCs.

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Automated array-CGH optimized for archival formalin-fixed, paraffin-embedded tumor material

Project description:BACKGROUND: Array Comparative Genomic Hybridization (aCGH) is a rapidly evolving technology that still lacks complete standardization. Yet, it is of great importance to obtain robust and reproducible data to enable meaningful multiple hybridization comparisons. Special difficulties arise when aCGH is performed on archival formalin-fixed, paraffin-embedded (FFPE) tissue due to its variable DNA quality. Recently, we have developed an effective DNA quality test that predicts suitability of archival samples for BAC aCGH. METHODS: In this report, we first used DNA from a cancer cell-line (SKBR3) to optimize the aCGH protocol for automated hybridization, and subsequently optimized and validated the procedure for FFPE breast cancer samples. We aimed for highest throughput, accuracy, and reproducibility applicable to FFPE samples, which can also be important in future diagnostic use. RESULTS: Our protocol of automated array-CGH on archival FFPE ULS-labeled DNA showed very similar results compared with published data and our previous manual hybridization method. CONCLUSION: This report combines automated aCGH on unamplified archival FFPE DNA using non-enzymatic ULS labeling, and describes an optimized protocol for this combination resulting in improved quality and reproducibility. In this study, we optimized the BAC araay-CGH protocol for automated hybridization for FFPE breast cancer samples. We have tested hybridization temperature and duration, different hybridization buffer conditions, and post-hybridization washing.

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Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription [GRO-Seq]

Project description:Pervasive Chromatin-RNA Binding Protein Interactions Enable RNA-based Regulation of Transcription [GRO-Seq]

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