Analysis, Modeling, and Visualization of Chromosome Conformation Capture Experiments

2020 ◽  
pp. 35-63
Author(s):  
Marco Di Stefano ◽  
David Castillo ◽  
François Serra ◽  
Irene Farabella ◽  
Mike N. Goodstadt ◽  
...  
Keyword(s):  
Chromosome Conformation Capture ◽  
Chromosome Conformation

scholarly journals Closed and High-Quality Bacterial Genome Sequences of the Oligo-Mouse-Microbiota Community

2021 ◽  
Vol 10 (17) ◽  
Author(s):  
Quentin Lamy-Besnier ◽  
Romain Koszul ◽  
Laurent Debarbieux ◽  
Martial Marbouty
Keyword(s):  
Murine Model ◽  
Bacterial Genome ◽  
Chromosome Conformation Capture ◽  
Genome Sequences ◽  
Pacbio Sequencing ◽  
High Quality ◽  
Chromosome Conformation

ABSTRACT The Oligo-Mouse-Microbiota (OMM12) gnotobiotic murine model is an increasingly popular model in microbiota studies. However, following Illumina and PacBio sequencing, the genomes of the 12 strains could not be closed. Here, we used genomic chromosome conformation capture (Hi-C) data to reorganize, close, and improve the quality of these 12 genomes.

scholarly journals SisterC: A novel 3C-technique to detect chromatin interactions between and along sister chromatids

2020 ◽  
Author(s):  
Marlies E. Oomen ◽  
Adam K. Hedger ◽  
Jonathan K. Watts ◽  
Job Dekker
Keyword(s):  
Cell Cycle ◽  
Single Strand ◽  
Chromosome Conformation Capture ◽  
Brdu Incorporation ◽  
Chromosome Conformation ◽  
Strand Breaks ◽  
Chromatin Interactions ◽  
Sister Chromatids ◽  
Single Strand Breaks ◽  
Capture Techniques

Abstract Current chromosome conformation capture techniques are not able to distinguish sister chromatids. Here we describe the protocol of SisterC1: a novel Hi-C technique that leverages BrdU incorporation and UV/Hoechst-induced single strand breaks to identify interactions along and between sister chromatids. By synchronizing cells, BrdU is incorporated only on the newly replicated strand, which distinguishes the two sister chromatids2,3. This is followed by Hi-C4 of cells that can be arrested in different stages of the cell cycle, e.g. in mitosis. Before final amplification of the Hi-C library, strands containing BrdU are specifically depleted by UV/Hoechst treatment. SisterC libraries are then sequenced using 50bp paired end reads, followed by mapping using standard Hi-C processing tools. Interactions can then be assigned as inter- or intra-sister interactions based on read orientation.

scholarly journals A streamlined tethered chromosome conformation capture protocol

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Idan Gabdank ◽  
Sreejith Ramakrishnan ◽  
Anne M. Villeneuve ◽  
Andrew Z. Fire
Keyword(s):  
Chromosome Conformation Capture ◽  
Chromosome Conformation

scholarly journals FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Kai Kruse ◽  
Clemens B. Hug ◽  
Juan M. Vaquerizas
Keyword(s):  
Chromosome Conformation Capture ◽  
Matrix Analysis ◽  
Set Covering ◽  
Command Line ◽  
Chromosome Conformation ◽  
C Storage ◽  
Data Formats ◽  
Analysis Tools ◽  
Command Line Tool ◽  
Broad Feature

AbstractChromosome conformation capture data, particularly from high-throughput approaches such as Hi-C, are typically very complex to analyse. Existing analysis tools are often single-purpose, or limited in compatibility to a small number of data formats, frequently making Hi-C analyses tedious and time-consuming. Here, we present FAN-C, an easy-to-use command-line tool and powerful Python API with a broad feature set covering matrix generation, analysis, and visualisation for C-like data (https://github.com/vaquerizaslab/fanc). Due to its compatibility with the most prevalent Hi-C storage formats, FAN-C can be used in combination with a large number of existing analysis tools, thus greatly simplifying Hi-C matrix analysis.

scholarly journals Systematic evaluation of chromosome conformation capture assays

2021 ◽  
Author(s):  
Betul Akgol Oksuz ◽  
Liyan Yang ◽  
Sameer Abraham ◽  
Sergey V. Venev ◽  
Nils Krietenstein ◽  
...  
Keyword(s):  
Chromosome Conformation Capture ◽  
Systematic Evaluation ◽  
Chromosome Conformation

scholarly journals Male-Specific Long Noncoding RNA TTTY15 Inhibits Non-Small Cell Lung Cancer Proliferation and Metastasis via TBX4

2019 ◽  
Vol 20 (14) ◽  
pp. 3473 ◽  
Author(s):  
I-Lu Lai ◽  
Ya-Sian Chang ◽  
Wen-Ling Chan ◽  
Ya-Ting Lee ◽  
Ju-Chen Yen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Chromosome Conformation Capture ◽  
Small Cell Lung ◽  
Circular Chromosome ◽  
Chromosome Conformation ◽  
Male Specific ◽  
Circular Chromosome Conformation Capture

Gender affects cancer susceptibility. Currently, there are only a few studies on Y chromosome-linked long noncoding RNAs (lncRNAs), and the potential association between lncRNAs and cancers in males has not been fully elucidated. Here, we examined the expression of testis-specific transcript Y-linked 15 (TTTY15) in 37 males with non-small cell lung cancer (NSCLC), and performed circular chromosome conformation capture with next-generation sequencing to determine the genomic interaction regions of the TTTY15 gene. Our results showed that the expression levels of TTTY15 were lower in NSCLC tissues. Lower TTTY15 expression levels were associated with Tumor-Node-Metastasis (TNM) stage. A TTTY15 knockdown promoted malignant transformation of NSCLC cells. Based on the bioinformatics analysis of circular chromosome conformation capture data, we found that T-box transcription factor 4 (TBX4) may be a potential target gene of TTTY15. The RNA immunoprecipitation and chromatin immunoprecipitation results showed that TTTY15 may interact with DNA (cytosine-5)-methyltransferase 3A (DNMT3A), and the TTTY15 knockdown increased the binding of DNMT3A to the TBX4 promoter. We concluded that low TTTY15 expression correlates with worse prognosis among patients with NSCLC. TTTY15 promotes TBX4 expression via DNMT3A-mediated regulation. The identification of lncRNAs encoded by male-specific genes may help to identify potential targets for NSCLC therapy.

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