Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exonuclease combinations reduce noises in 3D genomics technologies

ABSTRACT: Chromosome conformation-capture technologies are widely used in 3D genomics; however, experimentally, such methods have high-noise limitations and, therefore, require significant bioinformatics efforts to extract reliable distal interactions. Miscellaneous undesired linear DNAs, present during proximity-ligation, represent a main noise source which needs to be minimized or eliminated. In this study, different exonuclease combinations were tested to remove linear DNA fragments from a circularized DNA preparation. This method efficiently removed linear DNAs, raised the proportion of annulation and increased valid-pairs ratio from 30-40% to 70-80% for enhanced interaction detection in standard Hi-C. This strategy is applicable for development of various 3D genomics technologies, or optimization of Hi-C sequencing efficiency.

ORGANISM(S): Mus musculus

PROVIDER: GSE125656 | GEO | 2020/04/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Exonuclease combinations reduce noises in 3D genomics technologies

Project description:Exonuclease combinations reduce noises in 3D genomics technologies

| PRJNA517112 | ENA

Single (1 NP) GAM datasets collected from mouse ES cells

Project description:Technologies for measuring 3D genome topology are increasingly important for studying mechanisms of gene regulation, for genome assembly and for mapping of genome rearrangements. We applied the original GAM protocol to Mouse ES cells to generate a deeper dataset for comparison to Hi-C.

2022-06-13 | GSE166378 | GEO

Single GAM datasets collected with one nuclear profile each (samples failing QC)

2022-06-13 | GSE166377 | GEO

Dynamic interplay between structural variation and 3D chromosome organization in pancreatic cancer

Project description:We investigate the spectrum of SVs and three-dimensional (3D) chromatin architecture in human pancreatic ductal epithelial cell carcinogenesis by using the state of art long-read single molecular real time (SMRT) and high-throughput chromosome conformation capture (Hi-C) sequencing techniques. Systematic integration of matched SMRT, in situ Hi-C, and RNA-seq datasets revealed the complicated dynamic interplay of SVs and 3D chromosome organization and their impacts on gene expression. Our studies identify and focus remodeling of chromatin folding domains associated with cross boundary SVs enabling aberrant interactions between regulatory elements. Moreover, our data also demonstrate the existence of complex genomic rearrangements associated with two key driver genes CDKN2A and SMAD4, and characterize their influence on cancer related gene expression from linear view to 3D perspective.

2022-05-01 | GSE185069 | GEO

Project description:Detection of extrachromosomal linear DNAs of LTR retrotransposons by ALE-seq

| PRJNA483853 | ENA

Precision genome editing using synthesis-dependent repair of Cas9-induced DNA breaks

Project description:The RNA-guided DNA endonuclease Cas9 has emerged as a powerful new tool for genome engineering. Cas9 creates targeted double-strand breaks (DSBs) in the genome. Knock-in of specific mutations (precision genome editing) requires homology-directed repair (HDR) of the DSB by synthetic donor DNAs containing the desired edits, but HDR has been reported to be variably efficient. Here, we report that linear DNAs (single and double-stranded) engage in a high-efficiency HDR mechanism that requires only ~35 nucleotides of homology with the targeted locus to introduce edits ranging from 1 to 1000 nucleotides. We demonstrate the utility of linear donors by introducing fluorescent protein tags in human cells and mouse embryos using PCR fragments. We find that repair is local, polarity-sensitive, and prone to template switching, characteristics that are consistent with gene conversion by synthesis-dependent strand-annealing (SDSA). Our findings enable rational design of synthetic donor DNAs for efficient genome editing.

2017-12-01 | GSE107546 | GEO

Removing System Noise from Comparative Genomic Hybridization Data by Self-Self Analysis

Project description:To minimize the distortion of genetic signal by system noise, we have explored the latter in an archive of hybridizations in which no genetic signal is expected. This archive is obtained by comparative genomic hybridization (CGH) of a reference sample in one channel to the same sample in the other channel, which we have termed ‘self-self’ data. We show that these self-self hybridizations trap a variety of system noise inherent in sample-reference (test) data. Through singular value decomposition (SVD) of self-self data, we are able to determine the principal components of system noise. Assuming simple linear models of noise generation, we present evidence that the linear correction of test data with self-self data—which we call system normalization—reduces local and long-range correlations as well as improves signal-to-noise metrics, yet does not introduce detectable spurious signal.

2011-06-09 | GSE23682 | GEO

Micro-C on K562 cell line

Project description:The three-dimensional (3D) organization of genome is fundamental to cell biology. To explore 3D genome, emerging high-throughput approaches have produced billions of sequencing reads, which is challenging and time-consuming to analyze. Here we present Microcket, a package for mapping and extracting interacting pairs from 3D genomics data, including Hi-C, Micro-C, and derivant protocols. Microcket utilizes a unique read-stitch strategy that takes advantage of the long read cycles in modern DNA sequencers; benchmark evaluations reveal that Microcket runs much faster than the current tools along with improved mapping efficiency, and thus shows high potential in accelerating and enhancing the biological investigations into 3D genome. Microcket is freely available at https://github.com/hellosunking/Microcket.

2023-12-31 | GSE205500 | GEO

HiChIP: Efficient and sensitive analysis of protein-directed genome architecture

Project description:Three-dimensional genome structure is central to gene control, but current technologies are often impractical for many biological questions due to cell and read number requirements. Here we present HiChIP, a protein-centric chromatin conformation method. HiChIP improves the fraction of conformation-informative reads by over 10-fold and lowers input requirement greater than 100-fold to 1 million cells. HiChIP of cohesin reveals multi-scale genome architecture with greater signal to noise than in situ Hi-C. Thus, HiChIP will enable insight into the genome’s three-dimensional structure and regulation in once-inaccessible biological systems.

2016-08-31 | GSE80820 | GEO

Drosophila melanogaster

Project description:DPGP miscellaneous

| PRJNA263409 | ENA