sonication step (New England Biolabs)
Structured Review

Sonication Step, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 5083 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sonication step/product/New England Biolabs
Average 99 stars, based on 5083 article reviews
Images
1) Product Images from "RADIP technology comprehensively identifies H3K27me3-associated RNA–chromatin interactions"
Article Title: RADIP technology comprehensively identifies H3K27me3-associated RNA–chromatin interactions
Journal: Nucleic Acids Research
doi: 10.1093/nar/gkae1054
Figure Legend Snippet: RADIP technology enables the capture of RNA–chromatin interactions mediated by a specific protein or certain types of histone marks. ( A ) Schematic of the RADIP technology. Left: Steps performed in situ on fixed nuclei after partial lysis of the nuclear membrane. Right: Steps performed in solution after disruption of the nuclear membrane by sonication. After reversal of crosslinks, the RNA–adaptor–DNA chimera is converted into a fully double-stranded DNA molecule. This molecule is then digested to a designated length using the EcoP15I enzyme. ( B ) Distribution of DNA tags from Input and H3K27me3-RADIP samples around H3K27me3 and EZH2 ChIP-seq peaks in local windows (±3 kb from the center points of the ChIP-seq peaks). ( C ) Distribution of DNA tags from Input and H3K27me3-RADIP samples around H3K9me3 ChIP-seq peaks and ATAC-seq peaks in local windows (±3 kb from the center points of the ChIP-seq peaks and ATAC-seq peaks). ( D ) Comparison of features across different technologies. ( E ) Analysis of read length and mapping results includes uniquely mapped (blue) and multiply mapped (orange) reads reported as percentages of the total read pool. For direct comparison, both DNA and RNA tags of RADICL-seq reads were artificially trimmed to 20 nucleotides. ( F ) Assessment of genomic coverage of DNA tags across different technologies in relation to sequencing depth. Note: Different technologies use various mathematical models to filter out low-frequency RNA–DNA interactions (non-specific interactions), which can influence and change the characteristics of the experimental data. Therefore, when discussing aspects such as enrichment, immunoprecipitation efficiency and comparing results across different technologies, it is crucial to use the raw data before applying background removal. This approach allows for direct comparisons and provides a clearer understanding of the experimental benefits at a fundamental level. All panels were generated by using datasets before the background removal step.
Techniques Used: In Situ, Lysis, Membrane, Disruption, Sonication, ChIP-sequencing, Comparison, Sequencing, Immunoprecipitation, Generated