ChIP-seq Protocol Research Articles

Biomapp::chip: large-scale motif analysis

BackgroundDiscovery biological motifs plays a fundamental role in understanding regulatory mechanisms. Computationally, they can be efficiently represented as kmers, making the counting of these elements a critical aspect for ensuring not only the accuracy but also the efficiency of the analytical process. This is particularly useful in scenarios involving large data volumes, such as those generated by the ChIP-seq protocol. Against this backdrop, we introduce biomapp::chip, a tool specifically designed to optimize the discovery of biological motifs in large data volumes.ResultsWe conducted a comprehensive set of comparative tests with state-of-the-art algorithms. Our analyses revealed that biomapp::chip outperforms existing approaches in various metrics, excelling both in terms of performance and accuracy. The tests demonstrated a higher detection rate of significant motifs and also greater agility in the execution of the algorithm. Furthermore, the smt component played a vital role in the system’s efficiency, proving to be both agile and accurate in kmer counting, which in turn improved the overall efficacy of our tool.Conclusionbiomapp::chip represent real advancements in the discovery of biological motifs, particularly in large data volume scenarios, offering a relevant alternative for the analysis of ChIP-seq data and have the potential to boost future research in the field. This software can be found at the following address: (https://github.com/jadermcg/biomapp-chip).

Abstract 1590: Optimization of CHIP seq protocol to explore SUMOylated DNA binding proteins in human cardiomyocytes

Abstract 1590: Optimization of CHIP seq protocol to explore SUMOylated DNA binding proteins in human cardiomyocytes

Chromatin Immunoprecipitation Experiments from Drosophila Ovaries.

Chromatin is composed of DNA and its associated proteins, and has an essential role in all cellular processes, including those taking place during Drosophila oogenesis. In order to understand the molecular basis of chromatin-based processes, such as transcription, it is essential to be able to study how and when different proteins, such as transcription factors, histones and RNA polymerases, interact with chromatin. One of the most popular methods to study this is chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq). Here, we describe a ChIP-seq protocol that has been optimized for Drosophila ovaries, focusing on sample preparation through preliminary data processing.

ChIP-Seq Protocol for In Vitro Cell Differentiation Systems.

In vitro differentiation systems provide a flexible platform for understanding complex developmental processes. Here, we provide a comprehensive protocol for the preparation and analysis of ChIP-seq libraries for human-induced neural crest cells (hiNCCs) from human embryonic stem cells (hESCs). This workflow is aimed at identifying interactions between transcription factors and cis regulatory elements, which serve as useful assays in uncovering gene regulatory principles during development.

Chromatin Immunoprecipitation Sequencing (ChIP-seq) Protocol for Small Amounts of Frozen Biobanked Cardiac Tissue.

Chromatin immunoprecipitation and sequencing (ChIP-seq) is a well-established method to study the epigenetic profile at the genome-wide scale, including histone modifications and DNA-protein interactions. It provides valuable insights to better understand disease mechanisms. Here we present an optimized ChIP-seq protocol suitable for human cardiac tissues, especially the frozen biobanked small biopsy samples.

A plug and play microfluidic platform for standardized sensitive low-input chromatin immunoprecipitation.

Epigenetic profiling by chromatin immunoprecipitation followed by sequencing (ChIP-seq) has become a powerful tool for genome-wide identification of regulatory elements, for defining transcriptional regulatory networks, and for screening for biomarkers. However, the ChIP-seq protocol for low-input samples is laborious and time-consuming and suffers from experimental variation, resulting in poor reproducibility and low throughput. Although prototypic microfluidic ChIP-seq platforms have been developed, these are poorly transferable as they require sophisticated custom-made equipment and in-depth microfluidic and ChIP expertise, while lacking parallelization. To enable standardized, automated ChIP-seq profiling of low-input samples, we constructed microfluidic PDMS-based plates capable of performing 24 sensitive ChIP reactions within 30 min of hands-on time and 4.5 h of machine-running time. These disposable plates can be conveniently loaded into a widely available controller for pneumatics and thermocycling. In light of the plug and play (PnP) ChIP plates and workflow, we named our procedure PnP-ChIP-seq. We show high-quality ChIP-seq on hundreds to a few thousand of cells for all six post-translational histone modifications that are included in the International Human Epigenome Consortium set of reference epigenomes. PnP-ChIP-seq robustly detects epigenetic differences on promoters and enhancers between naive and more primed mouse embryonic stem cells (mESCs). Furthermore, we used our platform to generate epigenetic profiles of rare subpopulations of mESCs that resemble the two-cell stage of embryonic development. PnP-ChIP-seq allows nonexpert laboratories worldwide to conveniently run robust, standardized ChIP-seq, whereas its high throughput, consistency, and sensitivity pave the way toward large-scale profiling of precious sample types such as rare subpopulations of cells or biopsies.

Using Galaxy to Perform Large-Scale Interactive Data Analyses-An Update.

Modern biology continues to become increasingly computational. Datasets are becoming progressively larger, more complex, and more abundant. The computational savviness necessary to analyze these data creates an ongoing obstacle for experimental biologists. Galaxy (galaxyproject.org) provides access to computational biology tools in a web-based interface. It also provides access to major public biological data repositories, allowing private data to be combined with public datasets. Galaxy is hosted on high-capacity servers worldwide and is accessible for free, with an option to be installed locally. This article demonstrates how to employ Galaxy to perform biologically relevant analyses on publicly available datasets. These protocols use both standard and custom tools, serving as a tutorial and jumping-off point for more intensive and/or more specific analyses using Galaxy. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Finding human coding exons with highest SNP density Basic Protocol 2: Calling peaks for ChIP-seq data Basic Protocol 3: Compare datasets using genomic coordinates Basic Protocol 4: Working with multiple alignments Basic Protocol 5: Single cell RNA-seq.

Novel ChIP-seq simulating program with superior versatility: isChIP.

Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is recognized as an extremely powerful tool to study the interaction of numerous transcription factors and other chromatin-associated proteins with DNA. The core problem in the optimization of ChIP-seq protocol and the following computational data analysis is that a 'true' pattern of binding events for a given protein factor is unknown. Computer simulation of the ChIP-seq process based on 'a-priory known binding template' can contribute to a drastically reduce the number of wet lab experiments and finally help achieve radical optimization of the entire processing pipeline. We present a newly developed ChIP-sequencing simulation algorithm implemented in the novel software, in silico ChIP-seq (isChIP). We demonstrate that isChIP closely approximates real ChIP-seq protocols and is able to model data similar to those obtained from experimental sequencing. We validated isChIP using publicly available datasets generated for well-characterized transcription factors Oct4 and Sox2. Although the novel software is compatible with the Illumina protocols by default, it can also successfully perform simulations with a number of alternative sequencing platforms such as Roche454, Ion Torrent and SOLiD as well as model ChIP -Exo. The versatility of isChIP was demonstrated through modelling a wide range of binding events, including those of transcription factors and chromatin modifiers. We also performed a comparative analysis against a few existing ChIP-seq simulators and showed the fundamental superiority of our model. Due to its ability to utilize known binding templates, isChIP can potentially be employed to help investigators choose the most appropriate analytical software through benchmarking of available ChIP-seq programs and optimize the experimental parameters of ChIP-seq protocol. isChIP software is freely available at https://github.com/fnaumenko/isChIP.

ChIP-Seq Assays from Mammalian Cartilage and Chondrocytes.

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a powerful tool to identify binding profiles of transcriptional regulators and chromatin regulators as well as histone modification patterns in a genome-wide manner. ChIP-seq consists of five major steps: (1) preparation of cells and chromatin, (2) ChIP, (3) ChIP-seq library construction, (4) sequencing of ChIP DNA with a next-generation sequencer (NGS), and (5) computational analysis of sequence data. Recent ChIP-seq studies in skeletal tissues enable us to understand the modes of action of key skeletal regulators, functional interaction among the enhancers bound by the regulators, the complex nature of regulatory inputs, and thereby the gene regulatory landscape in skeletal development. Here we describe a ChIP-seq protocol that we have employed in our studies, with particular focus on chromatin preparation and subsequent ChIP in skeletal cells, including chondrocytes.

Abstract 3662: FiTAc-seq: Fixed-Tissue ChIP-seq for H3K27Ac profiling and super-enhancer analysis on FFPE tissues

Abstract FiTAc-seq is an epigenetic method for profiling of active enhancers and promoters in FFPE clinical samples. The protocol is optimized to generate high-quality H3K27Ac ChIP-seq maps from FFPE macrodissected or cored tissues within 4 days. We previously developed FiT-seq, a modified ChIP-seq protocol for chromatin profiling in FFPE. FiT-seq produces high-quality chromatin profiles particularly for methylated histone marks but is not optimized to resolve H3K27Ac signal. To overcome this limitation, we have modified the tissue homogenization and sonication steps by replacing the proteinase K digestion applied in FiT-seq with extended heating at 65°C in more stringent detergent conditions and minimizing the sonication step. FiTAc-seq produces high-quality genome wide H3K27Ac profiles, and it is suitable to generate enhancer landscapes and super-enhancer annotation. We demonstrate FiTAc-seq applicability for a wide variety of human tumor types, including bladder cancers, breast cancer brain metastasis, melanomas, pancreatic neuroendocrine tumors and seminomas. The unsupervised hierarchical analyses of both enhancer and super-enhancer only H3K27Ac signal clearly identify clusters according to the different tumor types. Moreover, super-enhancer annotation shows lineage-specific transcription factors for the distinct tumor samples. We demonstrate that FiTAc-seq is a robust method suitable for the epigenetic interrogation of archived FFPE clinical samples. The results generated allow the identification of tissue-specific enhancer and SE landscapes, with potential immediate impact on ongoing basic and translational research. Citation Format: Alba Font-Tello, Nikolas Kesten, Yingtian Xie, Len Taing, Joaquim Bellmunt, Myles Brown, Paloma Cejas, Henry Long. FiTAc-seq: Fixed-Tissue ChIP-seq for H3K27Ac profiling and super-enhancer analysis on FFPE tissues [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3662.

AutoRELACS: automated generation and analysis of ultra-parallel ChIP-seq

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to profile protein-DNA interactions genome-wide. Restriction Enzyme-based Labeling of Chromatin in Situ (RELACS) is a recently developed ChIP-seq protocol that deploys a chromatin barcoding strategy to enable standardized and high-throughput generation of ChIP-seq data. The manual implementation of RELACS is constrained by human processivity in both data generation and data analysis. To overcome these limitations, we have developed AutoRELACS, an automated implementation of the RELACS protocol using the liquid handler Biomek i7 workstation. We match the unprecedented processivity in data generation allowed by AutoRELACS with the automated computation pipelines offered by snakePipes. In doing so, we build a continuous workflow that streamlines epigenetic profiling, from sample collection to biological interpretation. Here, we show that AutoRELACS successfully automates chromatin barcode integration, and is able to generate high-quality ChIP-seq data comparable with the standards of the manual protocol, also for limited amounts of biological samples.

FiTAc-seq: fixed-tissue ChIP-seq for H3K27ac profiling and super-enhancer analysis of FFPE tissues

Fixed-tissue ChIP-seq for H3K27 acetylation (H3K27ac) profiling (FiTAc-seq) is an epigenetic method for profiling active enhancers and promoters in formalin-fixed, paraffin-embedded (FFPE) tissues. We previously developed a modified ChIP-seq protocol (FiT-seq) for chromatin profiling in FFPE. FiT-seq produces high-quality chromatin profiles particularly for methylated histone marks but is not optimized for H3K27ac profiling. FiTAc-seq is a modified protocol that replaces the proteinase K digestion applied in FiT-seq with extended heating at 65 °C in a higher concentration of detergent and a minimized sonication step, to produce robust genome-wide H3K27ac maps from clinical samples. FiTAc-seq generates high-quality enhancer landscapes and super-enhancer (SE) annotation in numerous archived FFPE samples from distinct tumor types. This approach will be of great interest for both basic and clinical researchers. The entire protocol from FFPE blocks to sequence-ready library can be accomplished within 4 d.

ChIP-seq and RNA-seq for complex and low-abundance tree buds reveal chromatin and expression co-dynamics during sweet cherry bud dormancy

Chromatin immunoprecipitation-sequencing (ChIP-seq) is a robust technique to study interactions between proteins, such as histones or transcription factors and DNA. This technique in combination with RNA-sequencing (RNA-seq) is a powerful tool to better understand biological processes in eukaryotes. We developed a combined ChIP-seq and RNA-seq protocol for tree buds (Prunus avium L., Prunus persica L Batch, Malus x domestica Borkh.) that has also been successfully tested on Arabidopsis thaliana and Saccharomyces cerevisiae. Tree buds contain phenolic compounds that negatively interfere with ChIP and RNA extraction. In addition to solving this problem, our protocol is optimised to work on small amounts of material. Furthermore, one of the advantages of this protocol is that samples for ChIP-seq are cross-linked after flash freezing, making it possible to work on trees growing in the field and to perform ChIP-seq and RNA-seq on the same starting material. Focusing on dormant buds in sweet cherry, we explored the link between expression level and H3K4me3 enrichment for all genes, including a strong correlation between H3K4me3 enrichment at the DORMANCY-ASSOCIATED MADS-BOX 5 (PavDAM5) loci and its expression pattern. This protocol will allow analysis of chromatin and transcriptomic dynamics in tree buds, notably during its development and response to the environment.

7C:\xa0Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs

BackgroundKnowledge of the three-dimensional structure of the genome is necessary to understand how gene expression is regulated. Recent experimental techniques such as Hi-C or ChIA-PET measure long-range chromatin interactions genome-wide but are experimentally elaborate, have limited resolution and such data is only available for a limited number of cell types and tissues.ResultsWhile ChIP-seq was not designed to detect chromatin interactions, the formaldehyde treatment in the ChIP-seq protocol cross-links proteins with each other and with DNA. Consequently, also regions that are not directly bound by the targeted TF but interact with the binding site via chromatin looping are co-immunoprecipitated and sequenced. This produces minor ChIP-seq signals at loop anchor regions close to the directly bound site. We use the position and shape of ChIP-seq signals around CTCF motif pairs to predict whether they interact or not. We implemented this approach in a prediction method, termed Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs (7C). We applied 7C to all CTCF motif pairs within 1 Mb in the human genome and validated predicted interactions with high-resolution Hi-C and ChIA-PET. A single ChIP-seq experiment from known architectural proteins (CTCF, Rad21, Znf143) but also from other TFs (like TRIM22 or RUNX3) predicts loops accurately. Importantly, 7C predicts loops in cell types and for TF ChIP-seq datasets not used in training.Conclusion7C predicts chromatin loops which can help to associate TF binding sites to regulated genes. Furthermore, profiling of hundreds of ChIP-seq datasets results in novel candidate factors functionally involved in chromatin looping. Our method is available as an R/Bioconductor package: http://bioconductor.org/packages/sevenC.

Studying the Hepatitis C Virus-Induced Epigenetic Signature After Cure with Direct-Acting Antivirals.

Hepatitis C virus (HCV) is the leading cause of hepatocellular carcinoma (HCC). While direct-acting antiviral (DAA) therapy efficiently eradicates HCV infection, epidemiological studies show that sustained virological response (SVR) following anti-HCV treatment reduces, but does not eliminate, the risk for HCC. We have recently demonstrated that HCV infection induces genome-wide epigenetic changes that reprogram host gene expression and persist as "epigenetic signature" following virus eradication by DAAs. We suggest that this epigenetic signature underlie the residual risk for HCC post-SVR. Here, we provide a methodology to study the HCV-induced epigenetic signature. We describe a ChIP-seq protocol to evaluate changes in epigenome profile following HCV infection, its cure with DAA, and after treatment with epigenetic modifier inhibitor. We also describe evaluation of changes in the gene expression profile using RNA-seq. The integration between detected alterations in epigenetic marks and gene expression allows for identification of biological processes that are involved in HCV-driven oncogenesis before and after cure.

Abstract B44: Identification of epigenomic changes induced by H3 K27M mutation in glioblastoma using patient-derived and CRISPR/Cas9 edited cell lines

Abstract Background: Glioblastoma is a grade IV malignant brain tumor with poor prognosis and rapid disease progression. Recurrent somatic mutations in histone H3 genes have been identified in the majority of pediatric glioblastoma cases. The K27M mutation in H3.1 and H3.3 histones globally inhibits lysine methylation at the K27 position, whereas H3.3 G34R/V possibly affects histone lysine methylation at the K36 position. H3 K27M mutation has been shown to dramatically decrease the total levels of H3K27me3 and H3K27me2 marks and increase H3K27ac levels. However, the effect of H3 K27M on global epigenomic changes is not fully characterized. Furthermore, standard profiling of histone marks by chromatin immunoprecipitation combined with next-generation sequencing (ChIP-seq) is not quantitative, a significant caveat when global levels of histone marks change so drastically. Methods: We assembled a collection of H3 K27M mutant and wild-type cell lines derived from the glioblastoma patients. The epigenomes of these cell lines were comprehensively characterized by profiling for six histone marks (H3K4me1, H3K4me3, H3K27ac, H3K27me3, H3K36me2, H3K36me3) using ChIP-seq. In addition, we derived isogenic cell lines overexpressing H3.3 K27M, as well as cell lines with knockin or knockout of the K27M mutation using the CRISPR/Cas9 genome editing system. These cell lines were profiled for H3K27me3 mark by ChIP-seq. We used a modified ChIP-seq protocol, chromatin immunoprecipitation with exogenous reference genome (ChIP-Rx), which allows quantitation of histone mark abundance by normalization to proportions of added Drosophila chromatin in the ChIP reaction. RNA sequencing was performed on both primary and isogenic cell lines. Results: The most striking difference we observed between H3 K27M and wild-type cells was in H3K27me3 mark. Using ChIP-Rx, we observe significantly lower levels of H3K27me3 mark in H3 K27M cell lines, both in primary cells and isogenic contexts. Despite very low total levels of H3K27me3 mark, K27M mutant cells display enrichment of the mark in certain regions, at comparable levels to wild-type cell lines. Using our isogenic cell line models, we show that K27M mutation is indeed responsible for those genome-wide changes in the epigenome. Correlating H3K27me3 distribution with transcriptome data, we show that expression changes mainly among the genes that are lowly expressed in these cells. Pathway analysis of differentially expressed genes shows enrichment for neural development and differentiation that suggests links to disease pathogenesis. Conclusions: Despite the fact that primary cell lines have different origins and a variety of additional driver mutations, their epigenomes appears to be remarkably similar, due to being shaped predominantly by the effects of histone mutations, as demonstrated in isogenic cell line systems. Global changes in H3K27me3 levels and distribution in H3 K27M mutant cells lead to specific changes in gene expression. The changes induced by K27M mutations also appear to be specific to the cell type and/or developmental context of origin. This may help better understand the effect they have in reshaping the epigenome to promote oncogenesis. Citation Format: Ashot S. Harutyunyan, Brian Krug, Simon Papillon-Cavanagh, Haifen Chen, Shriya Deshmukh, Warren A. Cheung, Rui Li, Jad Belle, Denise Bechet, Nicolas De Jay, Michele Zeinieh, Tenzin Gayden, Caterina Russo, Leonie Mikael, Damien Faury, Claudia Kleinman, Tomi Pastinen, Jacek Majewski, Nada Jabado. Identification of epigenomic changes induced by H3 K27M mutation in glioblastoma using patient-derived and CRISPR/Cas9 edited cell lines [abstract]. In: Proceedings of the AACR Special Conference: Pediatric Cancer Research: From Basic Science to the Clinic; 2017 Dec 3-6; Atlanta, Georgia. Philadelphia (PA): AACR; Cancer Res 2018;78(19 Suppl):Abstract nr B44.

Epigenetic analyses of planarian stem cells demonstrate conservation of bivalent histone modifications in animal stem cells.

Planarian flatworms have an indefinite capacity to regenerate missing or damaged body parts owing to a population of pluripotent adult stems cells called neoblasts (NBs). Currently, little is known about the importance of the epigenetic status of NBs and how histone modifications regulate homeostasis and cellular differentiation. We have developed an improved and optimized ChIP-seq protocol for NBs in Schmidtea mediterranea and have generated genome-wide profiles for the active marks H3K4me3 and H3K36me3, and suppressive marks H3K4me1 and H3K27me3. The genome-wide profiles of these marks were found to correlate well with NB gene expression profiles. We found that genes with little transcriptional activity in the NB compartment but which switch on in post-mitotic progeny during differentiation are bivalent, being marked by both H3K4me3 and H3K27me3 at promoter regions. In further support of this hypothesis, bivalent genes also have a high level of paused RNA Polymerase II at the promoter-proximal region. Overall, this study confirms that epigenetic control is important for the maintenance of a NB transcriptional program and makes a case for bivalent promoters as a conserved feature of animal stem cells and not a vertebrate-specific innovation. By establishing a robust ChIP-seq protocol and analysis methodology, we further promote planarians as a promising model system to investigate histone modification–mediated regulation of stem cell function and differentiation.

ChIP-Sequencing in Xenopus Embryos.

Chromatin immunoprecipitation (ChIP) followed by deep sequencing (ChIP-seq) is a powerful technique for mapping in vivo, genome-wide DNA-protein interactions. The interplay between DNA and proteins determines the transcriptional state of the genome. Using specific antibodies for the ChIP, it is possible to generate genome-wide profiles of histone posttranslational modifications, providing insight into the epigenetic memory and developmental potential of cells. The interactions between DNA and proteins involved in epigenetic regulation and transcription are highly dynamic during embryonic development. ChIP-seq allows for a detailed analysis of these dynamic changes in DNA-protein binding during embryogenesis. ChIP-seq is performed on protein epitopes that have been cross-linked to genomic DNA. After shearing the DNA, fragments bound by the (modified) protein of interest are captured with antibodies. The genomic loci of interest are identified by sequencing. Here, we provide a step-by-step ChIP-seq protocol that efficiently captures epitopes from relatively small embryo samples.

ChIP-seq.

Owing to its digital nature, ChIP-seq has become the standard method for genome-wide ChIP analysis. Using next-generation sequencing platforms (notably the Illumina Genome Analyzer), millions of short sequence reads can be obtained. The densities of recovered ChIP sequence reads along the genome are used to determine the binding sites of the protein. Although a relatively small amount of ChIP DNA is required for ChIP-seq, the current sequencing platforms still require amplification of the ChIP DNA by ligation-mediated PCR (LM-PCR). This protocol, which involves linker ligation followed by size selection, is the standard ChIP-seq protocol using an Illumina Genome Analyzer. The size-selected ChIP DNA is amplified by LM-PCR and size-selected for the second time. The purified ChIP DNA is then loaded into the Genome Analyzer. The ChIP DNA can also be processed in parallel for ChIP-chip results.

Optimized methods of chromatin immunoprecipitation for profiling histone modifications in industrial microalgae Nannochloropsis spp.

Epigenetic factors such as histone modifications play integral roles in plant development and stress response, yet their implications in algae remainpoorly understood. In the industrial oleaginousmicroalgae Nannochloropsis spp., the lack of an efficient methodology for chromatin immunoprecipitation (ChIP), which determines the specific genomic location of various histone modifications, has hindered probing the epigenetic basis of their photosynthetic carbon conversion and storage as oil. Here, a detailed ChIP protocol was developed for Nannochloropsis oceanica, which represents a reliable approach for the analysis of histone modifications, chromatin state, and transcription factor-binding sites at the epigenetic level. Using ChIP-qPCR, genes related to photosynthetic carbon fixation in this microalga were systematically assessed. Furthermore, a ChIP-Seq protocol was established and optimized, which generated a genome-wide profile of histone modification events, using histone mark H3K9Ac as an example. These results are the first step for appreciation of the chromatin landscape in industrial oleaginous microalgae and for epigenetics-based microalgal feedstock development.