Littérature scientifique sur le sujet « Chia-PET »

Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) can capture genome-wide chromatin interactions mediated by a specific DNA-associated protein. The ChIA-PET experiments have been applied to explore the key roles of different protein factors in chromatin folding and transcription regulation. However, compared with widely available Hi-C and ChIP-seq data, there are not many ChIA-PET datasets available in the literature. A computational method for accurately predicting ChIA-PET interactions from Hi-C and ChIP-seq data is needed that can save the efforts of performing wet-lab experiments. Here we present DeepChIA-PET, a supervised deep learning approach that can accurately predict ChIA-PET interactions by learning the latent relationships between ChIA-PET and two widely used data types: Hi-C and ChIP-seq. We trained our deep models with CTCF-mediated ChIA-PET of GM12878 as ground truth, and the deep network contains 40 dilated residual convolutional blocks. We first showed that DeepChIA-PET with only Hi-C as input significantly outperforms Peakachu, another computational method for predicting ChIA-PET from Hi-C but using random forests. We next proved that adding ChIP-seq as one extra input does improve the classification performance of DeepChIA-PET, but Hi-C plays a more prominent role in DeepChIA-PET than ChIP-seq. Our evaluation results indicate that our learned models can accurately predict not only CTCF-mediated ChIA-ET in GM12878 and HeLa but also non-CTCF ChIA-PET interactions, including RNA polymerase II (RNAPII) ChIA-PET of GM12878, RAD21 ChIA-PET of GM12878, and RAD21 ChIA-PET of K562. In total, DeepChIA-PET is an accurate tool for predicting the ChIA-PET interactions mediated by various chromatin-associated proteins from different cell types.

Understanding chromatin interactions is important because they create chromosome conformation and link the cis- and trans- regulatory elements to their target genes for transcriptional regulation. Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing is a genome-wide high-throughput technology that detects chromatin interactions associated with a specific protein of interest. We developed ChIA-PET Tool for ChIA-PET data analysis in 2010. Here, we present the updated version of ChIA-PET Tool (V3) as a computational package to process the next-generation sequence data generated from ChIA-PET experiments. It processes short-read and long-read ChIA-PET data with multithreading and generates statistics of results in an HTML file. In this paper, we provide a detailed demonstration of the design of ChIA-PET Tool V3 and how to install it and analyze RNA polymerase II (RNAPII) ChIA-PET data from human K562 cells with it. We compared our tool with existing tools, including ChiaSig, MICC, Mango and ChIA-PET2, by using the same public data set in the same computer. Most peaks detected by the ChIA-PET Tool V3 overlap with those of other tools. There is higher enrichment for significant chromatin interactions from ChIA-PET Tool V3 in aggregate peak analysis (APA) plots. The ChIA-PET Tool V3 is publicly available at GitHub.

ChIA-PET (chromatin interaction analysis with paired-end tags) enables genome-wide discovery of chromatin interactions involving specific protein factors, with base pair resolution. Interpretation of ChIA-PET data requires a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, visualization, and analysis. ChIA-PIPE performs linker filtering, read mapping, peak calling, and loop calling and automates quality control assessment for each dataset. To enable visualization, ChIA-PIPE generates input files for two-dimensional contact map viewing with Juicebox and HiGlass and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. To enable structural interpretation, ChIA-PIPE calls chromatin contact domains, resolves allele-specific peaks and loops, and annotates enhancer-promoter loops. ChIA-PIPE also supports the analysis of other related chromatin-mapping data types.

Summary We present model-based analysis for ChIA-PET (MACPET), which analyzes paired-end read sequences provided by ChIA-PET for finding binding sites of a protein of interest. MACPET uses information from both tags of each PET and searches for binding sites in a two-dimensional space, while taking into account different noise levels in different genomic regions. MACPET shows favorable results compared with MACS in terms of motif occurrence and spatial resolution. Furthermore, significant binding sites discovered by MACPET are involved in a higher number of significant three-dimensional interactions than those discovered by MACS. MACPET is freely available on Bioconductor. ChIA-PET; MACPET; Model-based clustering; Paired-end tags; Peak-calling algorithm.

Il gene Sox2 codifica per un fattore di trascrizione attivo nelle cellule staminali durante lo sviluppo del SNC nei vertebrati. Mutazioni eterozigoti di Sox2 nell'uomo causano uno spettro caratteristico di anomalie del SNC, che coinvolgono l'ippocampo e l'occhio, e che causano epilessia, disabilità di apprendimento e difettivo controllo motorio. Per comprendere il ruolo di Sox2 nello sviluppo neuronale, il nostro laboratorio ha generato KO condizionali di Sox2 nel topo. Le conseguenze della delezione di Sox2 in diversi momenti dello sviluppo producono importanti difetti cerebrali. Il KO condizionale permette di osservare una funzione importante di Sox2 anche nel mantenimento del self-renewal e delle colture a lungo termine di NSC in vitro. Sox2-mut NSC, coltivate come neurosfere, derivate dal prosencefalo di topi P0, si auto-rinnovano per diversi passaggi in coltura, ma poi vanno incontro a esaurimento della coltura. La formazione delle sfera viene recuperata da lentivirus Sox2. Questo rivela un ruolo essenziale per Sox2 nel mantenimento delle NSC. Per comprendere i meccanismi delle funzioni di Sox2, una questione centrale è quali geni Sox2 regola come un fattore di trascrizione, con quali meccanismi, e quali geni Sox2-regolati sono mediatori critici della sua funzione. Un nuovo modo in cui Sox2 regola i suoi targets è stato recentemente osservato nel nostro laboratorio: Sox2 mantiene un elevato numero di interazioni a lungo raggio tra geni ed enhancer distali, che regolano l'espressione genica. Abbiamo determinato mediante Chia-PET l’intero pattern di interazioni a lungo raggio in NSC wt e Sox2-mut. La delezione di Sox2 causa una vasta perdita di interazioni a lungo raggio e ridotta espressione di un sottogruppo di geni associati. L'espressione di uno di questi geni, SOCS3, recupera il difetto di self-renewal delle cellule mut. Il nostro lavoro identifica Sox2 come un importante regolatore della connettività funzionale cromatinica nelle NSC e dimostra il ruolo di geni associati con interazioni Sox2-dipendenti nel mantenimento delle NSC e, potenzialmente, in disturbi dello sviluppo neurologico. Abbiamo studiato il differenziamento delle cellule Sox2-mut in neuroni e glia, rispetto ai controlli: in stadio avanzato, poche cellule β-tub-positive sono state osservate nei mut differenziati, con scarsa morfologia differenziata. Questo risultato ha mostrato l'importanza di Sox2 nello sviluppo in neuroni maturi. Abbiamo anche analizzato i cambiamenti nell'espressione genica derivati dalla delezione di Sox2 mediante analisi RNA-seq di tre campioni per entrambe le cellule wt e Sox2-mut indifferenziate, e in due condizioni di differenziamento (giorno 4 e il giorno 11). Centinaia di geni sono deregolati in cellule mutanti. Il gene più down-regolato è SOCS3, quindi abbiamo trasdotto le cellule Sox2-mut con un lentivirus SOCS3. Le cellule mut trasdotte inizialmente crescono come le cellule non trasdotte (solo una parte delle cellule era stata trasdotta), ma continuano a crescere anche dopo che le cellule mut non trasdotte si sono completamente esaurite.Questi risultati suggeriscono che SOCS3 recupera parzialmente il difetto di proliferazione delle cellule mut. Ho anche provato se la reintroduzione di SOCS3 potrebbe recuperare il difetto nel differenziamento neuronale delle cellule mut e i miei esperimenti iniziali suggeriscono che potrebbe essere così: le cellule SOCS3-trasdotte erano tutte GFAP-negative e sembravano β-tub-positive, anche se sembravano avere una morfologia sofferente. Altro scopo è verificare il ruolo di alcuni degli altri geni più deregolati come mediatori della funzione di Sox2 nel self-renewal e nel differenziamento, con esperimenti di rescuing. Infine mi propongo di verificare se la reintroduzione di Sox2 nelle cellule mut potrebbe ripristinare le interazioni a lungo raggio, perse nei mutanti, di un piccolo numero di geni bersaglio identificati, con esperimenti di 3C.<br>The Sox2 gene encodes a transcription factor active in stem/progenitor cells during the development of central nervous system in vertebrates. Heterozygous Sox2 mutations in humans cause a characteristic spectrum of CNS abnormalities, involving the hippocampus and the eye, and causing epilepsy, learning disabilities and defective motor control. In order to understand the role of Sox2 in neural development, our laboratory generated Sox2 conditional KO mutations in mouse. The consequences of Sox2 ablation at different developmental time points produced important brain defects, more serious when the ablation was early. Sox2 conditional KO allowed to observe an important function for Sox2 also in the maintenance of NSC self-renewal in long-term in vitro NSC cultures. Sox2-mut NSC, cultured as neurospheres from P0 mouse forebrain, self-renewed for several passages in culture, but then underwent a decrease in growth, with progressive culture exhaustion. Sphere formation could be rescued by lentiviral Sox2. This reveled an essential role for Sox2 in the development of multiple CNS regions and in the maintenance of NSC. To understand the mechanisms of Sox2 function, a central question is which genes Sox2 regulates as a transcription factor, by what mechanisms Sox2 acts in regulating them, and which Sox2-regulated genes are critical mediators of its function. A new way in which Sox2 regulates its targets has been recently observed in our laboratory: Sox2 maintains a high number of long-range interactions between genes and distal enhancers, that regulate gene expression. We determined, by genome-wide chromatin interaction analysis (RNApolII ChIA-PET) the global pattern of long-range chromatin interactions in normal and Sox2-mut mouse NSC. Sox2 deletion caused extensive loss of long-range interactions and reduced expression of a subset of genes associated with Sox2-dependent interactions. Expression of one of these genes, Socs3, rescued the self-renewal defect of Sox2-mut NSC. Our work identifies Sox2 as a major regulator of functional chromatin connectivity in NSC, and demonstrates the role of genes associated with Sox2-dependent interactions in NSC maintenance and, potentially, in neurodevelopmental disorders. We studied the differentiation of Sox2-mut cells into neurons and glia, as compared to controls: at advanced stage, very few β-tub-positive cells were observed in Sox2-mut cells differentiated, with poor differentiated morphology. This result showed the importance of Sox2 in the development into mature neurons. We also analyzed the changes in gene expression resulting from Sox2 deletion by RNA-seq analysis of three samples for both wt and Sox2-mut cells in undifferentiated cells, and two differentiation conditions (day 4 and day 11). Hundreds of genes were deregulated in mutant cells. The most down-regulated gene was Socs3, so we transduced Sox2-mut cells with a lentiviral Socs3–vector, coexpressing GFP. Socs-3 transduced mut cells initially grew as the untransduced cells (only a proportion of the cells had been tranduced), but continued to grow even after the untransduced mut cells were completely exhausted, and transduced cells were positively selected. These results suggested that Socs3 partially rescued the proliferation defect of mut cells. I also tested if the reintroduction of Socs3 could rescue the neuronal differentiation defect of mut cells and my initial experiments suggest that this might be the case: Socs3-transduced cells were all GFAP-negative, and they all appeared β-tub-positive, though they seemed to have a suffering morphology. I aimed to test the role of some of the other most deregulated genes as mediators of Sox2 function in self-renewal and differentiation, by rescuing experiments of mut cells. I aim to test if Sox2 reintroduction in mut cells could rescue the long-range interactions of a small number of identified target genes, lost in Sox2-mut cells, by 3C experiments.