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Chromatin immunoprecipitation and sequencing (vs ChIP-seq) is an essential tool for epigenetic and molecular genetic studies. Although being routinely used, ChIP-seq is expensive, requires grams of plant materials, and is challenging for samples that enrich fatty acids such as seeds. Here, we developed an Ultrasensitive Plant ChIP-seq (UP-ChIP) method based on native ChIP-seq combined with Tn5 tagmentation-based library construction strategy. UP-ChIP is generally applicable for profiling both histone modification and Pol II in a wide range of plant samples, such as a single Arabidopsis seedling, a few Arabidopsis seeds, and sorted nuclei. Compared with conventional ChIP-seq, UP-ChIP is much less labor intensive and only consumes 1 μg of antibody and 10 μl of Protein-A/G conjugated beads for each IP and can work effectively with the amount of starting material down to a few milligrams. By performing UP-ChIP in various conditions and genotypes, we showed that UP-ChIP is highly reliable, sensitive, and quantitative for studying histone modifications. Detailed UP-ChIP protocol is provided. We recommend UP-ChIP as an alternative to traditional ChIP-seq for profiling histone modifications and Pol II, offering the advantages of reduced labor intensity, decreased costs, and low-sample input., (© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)

Recently, we introduced a chromatin immunoprecipitation (ChIP) technique utilizing the human DNA Fragmentation Factor (DFF) to digest the DNA prior to immunoprecipitation (DFF-ChIP) that provides the precise location of transcription complexes and their interactions with neighboring nucleosomes. Here we expand the technique to new targets and provide useful information concerning purification of DFF, digestion conditions, and the impact of crosslinking. DFF-ChIP analysis was performed individually for subunits of Mediator, DSIF, and NELF that that do not interact with DNA directly, but rather interact with RNA polymerase II (Pol II). We found that Mediator was associated almost exclusively with preinitiation complexes (PICs). DSIF and NELF were associated with engaged Pol II and, in addition, potential intermediates between PICs and early initiation complexes. DFF-ChIP was then used to analyze the occupancy of a tight binding transcription factor, CTCF, and a much weaker binding factor, glucocorticoid receptor (GR), with and without crosslinking. These results were compared to those from standard ChIP-Seq that employs sonication and to CUT&RUN which utilizes MNase to fragment the genomic DNA. Our findings indicate that DFF-ChIP reveals details of occupancy that are not available using other methods including information revealing pertinent protein:protein interactions., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Formaldehyde (FA) is a chemical that facilitates crosslinking between DNA and proteins. It is widely used in various biochemical assays, such as chromosome conformation capture (3C) and Chromatin Immunoprecipitation (ChIP). While the concentration and temperature of FA treatment are recognized as crucial factors in crosslinking, their quantitative effects have largely remained unexplored. In this study, we employed 3C as a model system to systematically assess the impacts of these two factors on crosslinking. Our findings indicate that the strength of crosslinking significantly influences chromatin conformation detection at nearly all known structural levels. Specifically, a delicate balance between sensitivity and reliability is required when detecting higher-level structures, such as chromosome compartments. Conversely, intense crosslinking is preferred when targeting lower-level structures, such as topologically associated domains (TADs) or chromatin loops. Based on our data, we propose a conceptual molecular thermal motion model to elucidate the roles of these two factors in restricting FA crosslinking. Our results not only shed light on the previously overlooked confounding factor in FA crosslinking but also highlight the need for caution in new technology developments that rely on FA crosslinking., (© 2024. The Author(s).)

Chromatin immunoprecipitation (ChIP) combined with sequencing has revolutionized our understanding of gene regulation; however, its application to frozen adipose tissue presents unique challenges due to the high levels of lipid content. Here, we present a protocol for ChIP of histone modifications in human frozen adipose tissue. We describe steps for tissue preparation, chromatin isolation, sonication, pre-clearing of chromatin, and immunoprecipitation. We then detail procedures for elution, crosslink reversal, chromatin purification, quality control, and library synthesis., Competing Interests: Declaration of interests M.B. received personal honoraria from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Lilly, Novo Nordisk, Novartis, and Sanofi as well as payments from Boehringer Ingelheim to the institution., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is crucial for profiling histone modifications and transcription factor binding throughout the genome. However, its application in economically important plant organs (EIPOs) such as seeds, fruits and flowers is challenging due to their sturdy cell walls and complex constituents. Here we present advanced ChIP (aChIP), an optimized method that efficiently isolates chromatin from plant tissues while simultaneously removing cell walls and cellular constituents. aChIP precisely profiles histone modifications in all 14 tested EIPOs and identifies transcription factor and chromatin-modifying enzyme binding sites. In addition, aChIP enhances ChIP efficiency, revealing numerous novel modified sites compared with previous methods in vegetative tissues. aChIP reveals the histone modification landscape for rapeseed dry seeds, highlighting the intricate roles of chromatin dynamics during seed dormancy and germination. Altogether, aChIP is a powerful, efficient and sensitive approach for comprehensive chromatin profiling in virtually all plant tissues, especially in EIPOs., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Chromatin immunoprecipitation (ChIP) assay is a standard method to examine protein-DNA interactions in vivo. Here, I describe a basic procedure for ChIP assay in rice shoot apices using an antibody against the homeodomain transcription factor Oryza sativa homeobox1 (OSH1). I also introduce the tips to overcome several obstacles when performing this assay for the first time and potential pitfalls that could impact the result., (© 2025. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Inference of causal transcriptional regulatory networks (TRNs) from transcriptomic data suffers notoriously from false positives. Approaches to control the false discovery rate (FDR), for example, via permutation, bootstrapping, or multivariate Gaussian distributions, suffer from several complications: difficulty in distinguishing direct from indirect regulation, nonlinear effects, and causal structure inference requiring "causal sufficiency," meaning experiments that are free of any unmeasured, confounding variables. Here, we use a recently developed statistical framework, model-X knockoffs, to control the FDR while accounting for indirect effects, nonlinear dose-response, and user-provided covariates. We adjust the procedure to estimate the FDR correctly even when measured against incomplete gold standards. However, benchmarking against chromatin immunoprecipitation (ChIP) and other gold standards reveals higher observed than reported FDR. This indicates that unmeasured confounding is a major driver of FDR in TRN inference. A record of this paper's transparent peer review process is included in the supplemental information., Competing Interests: Declaration of interests A.B. is a stockholder for Alphabet, Inc.; has consulted for Third Rock Ventures; and is a founder of CellCipher, Inc., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Protein-mediated chromatin interactions can be revealed by coupling proximity-based ligation with chromatin immunoprecipitation. However, these techniques require complex experimental procedures and millions of cells per experiment, which limits their widespread application in life science research. Here, we develop a novel method, Hi-Tag, that identifies high-resolution, long-range chromatin interactions through transposase tagmentation and chromatin proximity ligation (with a phosphorothioate-modified linker). Hi-Tag can be implemented using as few as 100,000 cells, involving simple experimental procedures that can be completed within 1.5 days. Meanwhile, Hi-Tag is capable of using its own data to identify the binding sites of specific proteins, based on which, it can acquire accurate interaction information. Our results suggest that Hi-Tag has great potential for advancing chromatin interaction studies, particularly in the context of limited cell availability., (© 2024. Science China Press.)

Background: Discovery 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., Results: We 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., Conclusion: BIOMAPP::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)., (© 2024. The Author(s).)

Protein-specific Chromatin Conformation Capture (3C)-based technologies have become essential for identifying distal genomic interactions with critical roles in gene regulation. The standard techniques include Chromatin Interaction Analysis by Paired-End Tag (ChIA-PET), in situ Hi-C followed by chromatin immunoprecipitation (HiChIP) also known as PLAC-seq. To identify chromatin interactions from these data, a variety of computational methods have emerged. Although these state-of-art methods address many issues with loop calling, only few methods can fit different data types simultaneously, and the accuracy as well as the efficiency these approaches remains limited. Here we have generated a pipeline, MMCT-Loop, which ensures the accurate identification of strong loops as well as dynamic or weak loops through a mixed model. MMCT-Loop outperforms existing methods in accuracy, and the detected loops show higher activation functionality. To highlight the utility of MMCT-Loop, we applied it to conformational data derived from neural stem cell (NSCs) and uncovered several previously unidentified regulatory regions for key master regulators of stem cell identity. MMCT-Loop is an accurate and efficient loop caller for targeted conformation capture data, which supports raw data or pre-processed valid pairs as input, the output interactions are formatted and easily uploaded to a genome browser for visualization., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Mammalian cells have developed and optimized defense mechanisms to prevent or hamper viral infection. The early transcriptional silencing of incoming viral DNAs is one such antiviral strategy and seems to be of fundamental importance, since most cell types silence unintegrated retroviral DNAs. In this chapter, a method for chromatin immunoprecipitation of unintegrated DNA is described. This technique allows investigators to examine histone and co-factor interactions with unintegrated viral DNAs as well as to analyze histone modifications in general or in a kinetic fashion at various time points during viral infection., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

The occurrence of DNA looping is ubiquitous. This process plays a well-documented role in the regulation of prokaryotic gene expression, such as in regulation of the Escherichia coli lactose (lac) operon. Here we present two complementary methods for high-resolution in vivo detection of DNA/protein binding within the bacterial nucleoid by using either chromatin immunoprecipitation combined with phage λ exonuclease digestion (ChIP-exo) or chromatin endogenous cleavage (ChEC), coupled with ligation-mediated polymerase chain reaction (LM-PCR) and Southern blot analysis. As an example, we apply these in vivo protein-mapping methods to E. coli to show direct binding of architectural proteins in the Lac repressor-mediated DNA repression loop., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is a method to detect specific interactions between DNA and DNA-associated proteins. It is valuable for the characterization of the binding of transcription factors or co-regulators genome wide. Furthermore, it can be used for epigenetic profiling, chromatin accessibility assessment, and identification of regulatory elements. Compared to the more commonly used chromatin immunoprecipitation (ChIP), CUT&RUN has several advantages including an in situ approach as well as no need for sonication. However, the biggest advantage is the reduced cell amounts that are required for CUT&RUN, which makes it more attractive for experiments with limited cell numbers. In this chapter, we describe a reliable CUT&RUN protocol for macrophages that can be performed within 2 days and includes a library preparation so that the sample can be directly sequenced., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) coupled to qPCR or sequencing is a crucial experiment to determine direct transcriptional regulation under the control of specific transcriptional factors or co-regulators at loci-specific or pan-genomic levels.Here we provide a reliable method for processing ChIP from adipocytes or frozen adipose tissue collection, isolation of nuclei, cross-linking of protein-DNA complexes, chromatin shearing, immunoprecipitation, and DNA purification. We also discuss critical steps for optimizing the experiment to perform a successful ChIP in lipid-rich cells/tissues., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) is used to analyze the targeting of a protein to a specific region of chromatin in vivo. Here, we present an instructive ChIP protocol for Arabidopsis imbibed seeds. The protocol covers all steps, from the sampling of imbibed seeds to the reverse crosslinking of immunoprecipitated protein-DNA complexes, and includes experimental tips and notes. The targeting of the protein to DNA is determined by quantitative PCR (qPCR) using reverse crosslinked DNA. The protocol can be further scaled up for ChIP-sequencing (ChIP-seq) analysis. As an example of the protocol, we include a ChIP-quantitative PCR (ChIP-qPCR) analysis demonstrating the targeting of PIF1 to the ABI5 promoter., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

DNA-protein interactions play fundamental roles in diverse biological functions. The gene-centered method is used to identify the upstream regulators of defined genes. In this study, we developed a novel method for capturing the proteins that bind to certain chromatin fragments or DNA sequences, which is called reverse chromatin immunoprecipitation (R-ChIP). This technology uses a set of specific DNA probes labeled with biotin to isolate chromatin or DNA fragments, and the DNA-associated proteins are then analyzed using mass spectrometry. This method can capture DNA-associated proteins with sufficient quantity and purity for identification., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

DNA-protein interactions occur in biological processes such as genome replication, gene transcription, DNA repair, and chromatin compaction and organization. Mapping the distribution of the DNA-bound proteins on the chromosome is essential for understanding their associated biological process. Chromatin immunoprecipitation (ChIP) involves the antibody-mediated enrichment of DNA fragments bound by a target protein and has become one of the most powerful techniques for exploring the distribution of proteins on the chromosome. By incorporating quantitative polymerase chain reaction (qPCR) downstream of the ChIP assay, ChIP-qPCR was developed to describe binding profiles of DNA-associated proteins at a candidate locus. In this chapter, we describe ChIP-qPCR. We provide a step-by-step protocol for the preparation of a ChIP library of a 3× FLAG-tagged protein in bacteria, describe how downstream qPCR experiments can be performed with the appropriate controls, and explain how the data is analyzed. This chapter provides reliable technical guidance for ChIP-qPCR studies in bacteria., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation in combination with next-generation sequencing (ChIP-Seq) allows probing of protein-DNA binding in a rapid and genome-wide fashion. Herein we describe the required steps to preprocess ChIP-Seq data and to analyze the differential binding of proteins to DNA for perturbation experiments. In these experiments, different conditions are compared to find the underlying biological mechanisms caused by the stimulus or treatment. In addition, we provide a sample analysis using the steps outlined in the chapter., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

ChIP-qPCR offers the opportunity to identify interactions of DNA-binding proteins such as transcription factors and their respective DNA binding sites. Thereby, transcription factors can interfere with gene expression, resulting in up- or downregulation of their target genes. Utilizing ChIP, it is possible to identify specific DNA binding sites that are bound by the DNA-binding proteins in dependence on treatment or prevailing conditions. During ChIP, DNA-binding proteins are reversibly cross-linked to their DNA binding sites and the DNA itself is fragmented. Using bead-captured antibodies, the target proteins are isolated while still binding their respective DNA response element. Using quantitative PCR, these DNA fragments are amplified and quantified. In this protocol, DNA binding sites of the glucocorticoid receptor are identified by treatment with the synthetic glucocorticoid Dexamethasone in murine bone marrow-derived macrophages., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

The modulation of cis-regulatory elements (e.g., enhancers and promoters) is a major mechanism by which gene expression can be controlled in a temporal and spatially restricted manner. However, methods for both identifying these elements and inferring their activity are limited and often require a substantial investment of time, money, and resources. Here, using mammalian skin as a model, we demonstrate a streamlined protocol by which these hurdles can be overcome using a novel chromatin profiling technique (CUT&RUN) to map histone modifications genome-wide. This protocol can be used to map the location and activity of putative cis-regulatory elements, providing mechanistic insight into how differential gene expression is controlled in mammalian tissues., (© 2024. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) followed by next-generation sequencing (-seq) has been the most common genomics method for studying DNA-protein interactions in the last decade. ChIP-seq technology became standard both experimentally and computationally. This chapter presents a core workflow that covers data processing and initial analytical steps of ChIP-seq data. We provide a step-by-step protocol of the commands as well as a fully assembled Snakemake workflow. Along the protocol, we discuss key tool parameters, quality control, output reports, and preliminary results., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

For the genome-wide mapping of histone modifications, chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing remains the benchmark method. While crosslinked ChIP can be used for all kinds of targets, native ChIP is predominantly used for strong and direct DNA interactors like histones and their modifications. Here we describe a native ChIP protocol that can be used for cells and tissue material., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation followed by sequencing (ChIP-Seq) allows for the identification of genomic targeting of DNA-binding proteins. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) modifies this process by including a nuclease to digest DNA around a protein of interest. The result is a higher signal-to-noise ratio and decreased required starting material. This allows for high-fidelity sequence identification from as few as 500 cells, enabling chromatin profiling of precious tissue samples or primary cell types, as well as less abundant chromatin-binding proteins: all at significantly increased throughput., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

ChIP-Seq has been used extensively to profile genome-wide transcription factor binding and post-translational histone modifications. A sequential ChIP assay determines the in vivo co-localization of two proteins to the same genomic locus. In this chapter, we combine the two protocols in Sequential ChIP-Seq, a method for identifying genome-wide sites of in vivo protein co-occupancy., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

ChIP-exo is a powerful tool for achieving enhanced sensitivity and single-base-pair resolution of transcription factor (TF) binding, which utilizes a combination of chromatin immunoprecipitation (ChIP) and lambda exonuclease digestion (exo) followed by high-throughput sequencing. ChIP-nexus (chromatin immunoprecipitation experiments with nucleotide resolution through exonuclease, unique barcode, and single ligation) is an updated and simplified version of the original ChIP-exo method, which has reported an efficient adapter ligation through the DNA circularization step. Building upon an established method, we present a protocol for generating NGS (next-generation sequencing) ready and high-quality ChIP-nexus library for glucocorticoid receptor (GR). This method is specifically optimized for bone marrow-derived macrophage (BMDM) cells. The protocol is initiated by the formation of DNA-protein cross-links in intact cells. This is followed by chromatin shearing, chromatin immunoprecipitation, ligation of sequencing adapters, digestion of adapter-ligated DNA using lambda exonuclease, and purification of single-stranded DNA for circularization and library amplification., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Gonadal steroid hormones, namely, testosterone, progesterone, and estrogens, influence the physiological state of an organism through the regulation of gene transcription. Steroid hormones activate nuclear hormone receptor (HR), transcription factors (TFs), which bind DNA in a tissue- and cell type-specific manner to influence cellular function. Identifying the genomic binding sites of HRs is essential to understanding mechanisms of hormone signaling across tissues and disease contexts. Traditionally, chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been used to map the genomic binding of HRs in cancer cell lines and large tissues. However, ChIP-seq lacks the sensitivity to detect TF binding in small numbers of cells, such as genetically defined neuronal subtypes in the brain. Cleavage Under Targets & Release Under Nuclease (CUT&RUN) resolves most of the technical limitations of ChIP-seq, enabling the detection of protein-DNA interactions with as few as 100-1000 cells. In this chapter, we provide a stepwise CUT&RUN protocol for detecting and analyzing the genome-wide binding of estrogen receptor α (ERα) in mouse brain tissue. The steps described here can be used to identify the genomic binding sites of most TFs in the brain., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) is an invaluable method to characterize interactions between proteins and genomic DNA, such as the genomic localization of transcription factors and post-translational modification of histones. DNA and proteins are reversibly and covalently crosslinked using formaldehyde. Then the cells are lysed to release the chromatin. The chromatin is fragmented into smaller sizes either by micrococcal nuclease (MN) or sonication and then purified from other cellular components. The protein-DNA complexes are enriched by immunoprecipitation (IP) with antibodies that target the epitope of interest. The DNA is released from the proteins by heat and protease treatment, followed by degradation of contaminating RNAs with RNase. The resulting DNA is analyzed using various methods, including polymerase chain reaction (PCR), quantitative PCR (qPCR), or sequencing. This protocol outlines each of these steps for both yeast and human cells. This chapter includes a contextual discussion of the combination of ChIP with DNA analysis methods such as ChIP-on-Chip, ChIP-qPCR, and ChIP-Seq, recent updates on ChIP-Seq data analysis pipelines, complementary methods for identification of binding sites of DNA binding proteins, and additional protocol information about ChIP-qPCR and ChIP-Seq., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Gene expression programs result from the collective activity of numerous regulatory factors. Studying their cooperative mode of action is imperative to understand gene regulation, but simultaneously measuring these factors within one sample has been challenging. Here we introduce Multiplexing Antibodies by barcode Identification (MAbID), a method for combinatorial genomic profiling of histone modifications and chromatin-binding proteins. MAbID employs antibody-DNA conjugates to integrate barcodes at the genomic location of the epitope, enabling combined incubation of multiple antibodies to reveal the distributions of many epigenetic markers simultaneously. We used MAbID to profile major chromatin types and multiplexed measurements without loss of individual data quality. Moreover, we obtained joint measurements of six epitopes in single cells of mouse bone marrow and during mouse in vitro differentiation, capturing associated changes in multifactorial chromatin states. Thus, MAbID holds the potential to gain unique insights into the interplay between gene regulatory mechanisms, especially for low-input samples and in single cells., (© 2023. The Author(s).)

Cleavage Under Targets and Tagmentation (CUT&Tag) is a recent methodology used for robust epigenomic profiling that, unlike conventional chromatin immunoprecipitation (ChIP-Seq), requires only a limited amount of cells as starting material. RNA sequencing (RNA-Seq) reveals the presence and quantity of RNA in a biological sample, describing the continuously changing cellular transcriptome. The integrated analysis of transcriptional activity, histone modifications, and chromatin accessibility via CUT&Tag is still in its infancy compared to the well-established ChIP-Seq. This chapter describes a robust bioinformatics methodology and workflow to perform an integrative CUT&Tag/RNA-Seq analysis., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin undergoes extensive remodeling during meiosis, leading to specific patterns of gene expression and chromosome organization, which ultimately controls fundamental meiotic processes such as recombination and homologous chromosome associations. Recent game-changing advances have been made by analysis of chromatin binding sites of meiotic specific proteins genome-wide in mouse spermatocytes. However, further progress is still highly dependent on the reliable isolation of sufficient quantities of spermatocytes at specific stages of prophase I. Here, we describe a combination of methodologies we adapted for rapid and reliable isolation of synchronized fixed mouse spermatocytes. We show that chromatin isolated from these cells can be used to study chromatin-binding sites by ChIP-seq. High-quality data we obtained from INO80 ChIP-seq in zygotene cells was used for functional analysis of chromatin-binding sites., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Hepatitis B virus (HBV) is an obligate human hepatotropic DNA virus causing both transient and chronic infection. The livers of chronic hepatitis B patients have a high risk of developing liver fibrosis, cirrhosis, and hepatocellular carcinoma. The nuclear episomal viral DNA intermediate, covalently closed circular DNA (cccDNA), forms a highly stable complex with host and viral proteins to serve as a transcription template and support HBV infection chronicity. Thus, characterization of the composition and dynamics of cccDNA nucleoprotein complexes providing cccDNA stability and gene regulation is of high importance for both basic and medical research. The presented method for chromatin immunoprecipitation coupled with qPCR (ChIP-qPCR) allows to assess provisional physical interaction of the protein of interest (POI) with cccDNA using POI-specific antibody, the level of enrichment of a POI on cccDNA versus control/background is characterized quantitatively using qPCR., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) protocols have been used to reveal protein-DNA interactions of various cell types and tissues; however, optimization is required for each specific type of sample. Here, we present a ChIP protocol from murine inguinal white adipose tissue. We describe steps for tissue harvesting, crosslinking, chromatin extraction, shearing, immunoprecipitation, and purification. We then detail procedures for analysis including library preparation, sequencing, and qRT-PCR validation. For complete details on the use and execution of this protocol, please refer to Antonia Katsouda et al. (2022). 1 ., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Pioneer transcription factors (TFs) can directly establish higher-order chromatin interactions to instruct gene transcription. Here, we present a protocol for capturing TF-mediated 3D chromatin interactions using affinity tag-based bridge linker (BL)-Hi-chromatin immunoprecipitation (HiChIP). We describe steps for constructing FLAG-tagged TF, performing BL-HiChIP, and preparing the library. We then detail procedures for sequencing, data analysis, and quality control. This protocol has potential applications in 3D chromatin analysis centered on any specific TF in any type of cells without the need of optimal antibodies. For complete details on the use and execution of this protocol, please refer to Ren et al. (2022). 1 ., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Transcription factor binding to a gene regulatory region induces or represses its expression. Binding and expression target analysis (BETA) integrates the binding and gene expression data to predict this function. First, the regulatory potential of the factor is modeled based on the distance of its binding sites from the transcription start sites in a decay function. Then the differential expression statistics from an experiment where this factor was perturbed represent the binding effect. The rank product of the two values is employed to order in importance. This algorithm was originally implemented in Python. We reimplemented the algorithm in R to take advantage of existing data structures and other tools for downstream analyses. Here, we attempted to replicate the findings in the original BETA paper. We applied the new implementation to the same datasets using default and varying inputs and cutoffs. We successfully replicated the original results. Moreover, we showed that the method was appropriately influenced by varying the input and was robust to choices of cutoffs in statistical testing., Competing Interests: The authors declare that they have no competing interests., (© 2023 Ahmed and Kim.)

Histone ChIP-seq is one of the primary methods for charting the cellular epigenomic landscape, the components of which play a critical regulatory role in gene expression. Analyzing the activity of regulatory elements across datasets and cell types can be challenging due to shifting peak positions and normalization artifacts resulting from, for example, differing read depths, ChIP efficiencies, and target sizes. Moreover, broad regions of enrichment seen in repressive histone marks often evade detection by commonly used peak callers. Here, we present a simple and versatile method for identifying enriched regions in ChIP-seq data that relies on estimating a gamma distribution fit to non-overlapping 5kB genomic bins to establish a global background. We use this distribution to assign a probability of being signal (PBS) between zero and one to each 5 kB bin. This approach, while lower in resolution than typical peak-calling methods, provides a straightforward way to identify enriched regions and compare enrichments among multiple datasets, by transforming the data to values that are universally normalized and can be readily visualized and integrated with downstream analysis methods. We demonstrate applications of PBS for both broad and narrow histone marks, and provide several illustrations of biological insights which can be gleaned by integrating PBS scores with downstream data types., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Hecht et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a widely employed technique for investigating protein-DNA interactions. However, the absence of a standardized and clear workflow necessitates researchers to independently assemble methodologies from diverse resources. This lack of uniformity hampers reproducibility and makes version control a complex endeavor, thereby limiting the accessibility of ChIP-seq analyses to individuals with extensive training in bioinformatics. In light of these challenges, we have developed an executable protocol that addresses these limitations. Our protocol encompasses all aspects of ChIP-seq analysis, ranging from quality control of raw reads to peak calling and downstream functional analyses. We have implemented two distinct approaches for peak calling, providing researchers with flexibility to choose the most suitable method for their specific experimental needs. This protocol will contribute to the scientific community by providing a standardized and clear resource that will enhance the reproducibility and accessibility of ChIP-seq analyses. © 2023 Wiley Periodicals LLC. Basic Protocol: ChIP-seq analysis workflow Alternative Protocol: Call differentially enriched peaks by using MACS3., (© 2023 Wiley Periodicals LLC.)

Assay for transposase-accessible chromatin (ATAC) and chromatin immunoprecipitation (ChIP), coupled with next-generation sequencing (NGS), have revolutionized the study of gene regulation. A lack of standardization in the analysis of the highly dimensional datasets generated by these techniques has made reproducibility difficult to achieve, leading to discrepancies in the published, processed data. Part of this problem is due to the diverse range of bioinformatic tools available for the analysis of these types of data. Secondly, a number of different bioinformatic tools are required sequentially to convert raw data into a fully processed and interpretable output, and these tools require varying levels of computational skills. Furthermore, there are many options for quality control that are not uniformly employed during data processing. We address these issues with a complete assay for transposase-accessible chromatin sequencing (ATAC-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) upstream pipeline (CATCH-UP), an easy-to-use, Python-based pipeline for the analysis of bulk ChIP-seq and ATAC-seq datasets from raw fastq files to visualizable bigwig tracks and peaks calls. This pipeline is simple to install and run, requiring minimal computational knowledge. The pipeline is modular, scalable, and parallelizable on various computing infrastructures, allowing for easy reporting of methodology to enable reproducible analysis of novel or published datasets.

Chromatin ImmunoPrecipitation (ChIP) is a widely used method for the analysis of protein-DNA interactions in vivo; however, ChIP has pitfalls, particularly false-positive signal enrichment that permeates the data. We have developed a new approach to control for non-specific enrichment in ChIP that involves the expression of a non-genome-binding protein targeted in the IP alongside the experimental target protein due to the sharing of epitope tags. ChIP of the protein provides a "sensor" for non-specific enrichment that can be used for the normalization of the experimental data, thereby correcting for non-specific signals and improving data quality as validated against known binding sites for several proteins that we tested, including Fkh1, Orc1, Mcm4, and Sir2. We also tested a DNA-binding mutant approach and showed that, when feasible, ChIP of a site-specific DNA-binding mutant of the target protein is likely an ideal control. These methods vastly improve our ChIP-seq results in S. cerevisiae and should be applicable in other systems.

Mapping the gene targets of chromatin-associated transcription regulators (TRs) is a major goal of genomics research. ChIP-seq of TRs and experiments that perturb a TR and measure the differential abundance of gene transcripts are a primary means by which direct relationships are tested on a genomic scale. It has been reported that there is a poor overlap in the evidence across gene regulation strategies, emphasizing the need for integrating results from multiple experiments. Although research consortia interested in gene regulation have produced a valuable trove of high-quality data, there is an even greater volume of TR-specific data throughout the literature. In this study, we show a workflow for the identification, uniform processing, and aggregation of ChIP-seq and TR perturbation experiments for the ultimate purpose of ranking human and mouse TR-target interactions. Focusing on an initial set of eight regulators (ASCL1, HES1, MECP2, MEF2C, NEUROD1, PAX6, RUNX1, and TCF4), we identified 497 experiments suitable for analysis. We used this corpus to examine data concordance, to identify systematic patterns of the two data types, and to identify putative orthologous interactions between human and mouse. We build upon commonly used strategies to forward a procedure for aggregating and combining these two genomic methodologies, assessing these rankings against independent literature-curated evidence. Beyond a framework extensible to other TRs, our work also provides empirically ranked TR-target listings, as well as transparent experiment-level gene summaries for community use., (© 2023 Morin et al.; Published by Cold Spring Harbor Laboratory Press.)

Chromatin immunoprecipitation (ChIP) is an antibody-based approach that is frequently utilized in chromatin biology and epigenetics. The challenge in experimental variability by unpredictable nature of usable input amounts from samples and undefined antibody titer in ChIP reaction still remains to be addressed. Here, we introduce a simple and quick method to quantify chromatin inputs and demonstrate its utility for normalizing antibody amounts to the optimal titer in individual ChIP reactions. For a proof of concept, we utilized ChIP-seq validated antibodies against the key enhancer mark, acetylation of histone H3 on lysine 27 (H3K27ac), in the experiments. The results indicate that the titration-based normalization of antibody amounts improves assay outcomes including the consistency among samples both within and across experiments for a broad range of input amounts., (© 2023. The Author(s).)

Epigenetic regulation by histone modification can activate or repress transcription through changes in chromatin dynamics and regulates development and the response to environmental signals in both animals and plants. Chromatin immunoprecipitation (ChIP) is an indispensable tool to identify histones with specific post-translational modifications. The lack of a ChIP technique for macroalgae has hindered understanding of the role of histone modification in the expression of genes in this organism. In this study, a ChIP method with several modifications, based on existing protocols for plant cells, has been developed for the red macroalga, Neopyropia yezoensis, that consists of a heterogeneous alternation of macroscopic leaf-like gametophytes and microscopic filamentous sporophytes. ChIP method coupled with qPCR enables the identification of a histone mark in generation-specific genes from N. yezoensis. The results indicate that acetylation of histone H3 at lysine 9 in the 5' flanking and coding regions from generation-specific genes was maintained at relatively high levels, even in generation-repressed gene expression. The use of this ChIP method will contribute significantly to identify the epigenetic regulatory mechanisms through histone modifications that control a variety of biological processes in red macroalgae., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Histone post-translational modifications (PTMs) and other epigenetic modifications regulate the chromatin accessibility of genes to the transcriptional machinery, thus affecting an organism's capacity to respond to environmental stimuli. Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) has been widely utilized to identify and map protein-DNA interactions in the fields of epigenetics and gene regulation. However, the field of cnidarian epigenetics is hampered by a lack of applicable protocols, partly due to the unique features of model organisms such as the symbiotic sea anemone Exaiptasia diaphana, whose high water content and mucus amounts obstruct molecular methods. Here, a specialized ChIP procedure is presented, which facilitates the investigation of protein-DNA interactions in E. diaphana gene regulation. The cross-linking and chromatin extraction steps were optimized for efficient immunoprecipitation and then validated by performing ChIP using an antibody against the histone mark H3K4me3. Subsequently, the specificity and effectiveness of the ChIP assay were confirmed by measuring the relative occupancy of H3K4me3 around several constitutively activated gene loci using quantitative PCR and by next-generation sequencing for genome-wide scale analysis. This optimized ChIP protocol for the symbiotic sea anemone E. diaphana facilitates the investigation of the protein-DNA interactions involved in organismal responses to environmental changes that affect symbiotic cnidarians, such as corals.

Computational pipelines for chromatin immunoprecipitation sequencing analysis can neglect colocalization events that occur in a mere subset of the genome. Here, we detail a streamlined approach for assessing colocalization of chromatin-bound proteins using the bedGraph2Cluster and PanChIP algorithms. Using histone modifications as an example, bedGraph2Cluster performs clustering analysis on chromatin binding patterns of target proteins. PanChIP then compares these clusters with a reference library of chromatin binding patterns and measures the overlap in peaks, capturing the heterogeneity in chromatin binding and colocalization patterns. For complete details on the use and execution of this protocol, please refer to Sanidas et al. (2022). 1 ., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022. Published by Elsevier Inc.)

Chromatin immunoprecipitation (ChIP) experiments with differentiated adipocytes are challenging because lipid droplets interfere with immunoprecipitation efficiency. Here, the author describes optimized procedures to minimize the burden of lipid droplets by using hypotonic buffer to enrich nuclear fraction before formaldehyde crosslinking, thus increasing the sensitivity and specificity of ChIP experiments with differentiated adipocytes. The author also describes steps after fixation, including sonication, immunoprecipitation, washing, reverse-crosslinking, and purification. This protocol is compatible with ChIP-qPCR and ChIP-seq of various transcription factors and histone modifications. For complete details on the use and execution of this protocol, please refer to Hiraike et al. (2022). 1 ., Competing Interests: Declaration of interests The author declares no competing interests., (Copyright © 2023 The Author. Published by Elsevier Inc. All rights reserved.)

Chromatin immunoprecipitation (ChIP) assay is widely used for investigating the interaction between DNA and DNA-binding proteins such as transcription factors, co-factors, or chromatin-associated proteins. However, a successful ChIP assay largely depends on the quality of a ChIP-grade primary antibody. In cases where specific antibodies are unavailable or with low binding affinity, here, we describe a tailored protocol to achieve robust and reproducible chromatin binding by expressing an exogenous epitope-tagged protein in cells, followed by ChIP assays using a tag-specific antibody. For complete details on the use and execution of this protocol, please refer to Fang et al. (2021) 1 and Kidder et al. (2011). 2 ., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

DNA-protein interaction is one of the most crucial interactions in biological processes. However, the technologies available to study DNA-protein interactions are all based on DNA hybridization; however, DNA hybridization is not highly specific and is relatively low in efficiency. RNA-guided DNA recognition is highly specific and efficient. To overcome the limitations of technologies based on DNA hybridization, we built a DNA-binding protein capture technology based on the clustered regularly interspaced palindromic repeats (CRISPR)-dead Cas9 (dCas9) system and transient genetic transformation, termed reverse chromatin immunoprecipitation based on CRISPR-dCas9 system (R-ChIP-dCas9). In this system, dCas9 was fused with Strep-Tag II to form a fusion protein for StrepTactin affinity purification. Transient transformation was performed for the expression of dCas9 and guide RNA (gRNA) to form the dCas9-gRNA complex in birch (Betula platyphylla) plants, which binds to the target genomic DNA region. The dCas9-gRNA-DNA complex was crosslinked, then the chromatin was sonicated into fragments, and purified using StrepTactin beads. The proteins binding to the target genomic DNA region were identified using mass spectrometry. Using this method, we determined the upstream regulators of a NAM, ATAF, and CUC (NAC) transcription factor (TF), BpNAC090, and 32 TFs potentially regulating BpNAC090 were identified. The reliability of R-ChIP-dCas9 was further confirmed by chromatin immunoprecipitation, electrophoretic mobility shift assays, and yeast one-hybrid. This technology can be adapted to various plant species and does not depend on the availability of a stable transformation system; therefore, it has wide application in identifying proteins bound to genomic DNA., Competing Interests: Conflict of interest statement. All authors declared there are no confilcts of interest., (© American Society of Plant Biologists 2022. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Interactions of DNA with structural proteins such as histones, regulatory proteins and enzymes play a crucial role in major cellular processes such as transcription, replication and repair. The in vivo mapping and characterization of the binding sites of the involved biomolecules are of primary importance for a better understanding of genomic deployment that is implicated in tissue and developmental stage-specific gene expression regulation. The most powerful and commonly used approach to date is immunoprecipitation of chemically cross-linked chromatin (XChIP) coupled with sequencing analysis (ChIP-seq). While the resolution and the sensitivity of the high-throughput sequencing techniques have been constantly improved, little progress has been achieved in the cross-linking step. Because of its low efficiency, the use of the conventional UVC lamps remains very limited while the formaldehyde method was established as the "gold standard" cross-linking agent. Efficient biphotonic cross-linking of directly interacting nucleic acid-protein complexes by a single short UV laser pulse has been introduced as an innovative technique for overcoming limitations of conventionally used chemical and photochemical approaches. In this survey, the main available methods including the laser approach are critically reviewed for their ability to generate DNA-protein cross-links in vitro model systems and cells., (© 2022 The Authors. Photochemistry and Photobiology published by Wiley Periodicals LLC on behalf of American Society for Photobiology.)

Background: Elucidating the Transcription Factors (TFs) that drive the gene expression changes in a given experiment is a common question asked by researchers. The existing methods rely on the predicted Transcription Factor Binding Site (TFBS) to model the changes in the motif activity. Such methods only work for TFs that have a motif and assume the TF binding profile is the same in all cell types., Results: Given the wealth of the ChIP-seq data available for a wide range of the TFs in various cell types, we propose that gene expression modeling can be done using ChIP-seq "signatures" directly, effectively skipping the motif finding and TFBS prediction steps. We present xcore, an R package that allows TF activity modeling based on ChIP-seq signatures and the user's gene expression data. We also provide xcoredata a companion data package that provides a collection of preprocessed ChIP-seq signatures. We demonstrate that xcore leads to biologically relevant predictions using transforming growth factor beta induced epithelial-mesenchymal transition time-courses, rinderpest infection time-courses, and embryonic stem cells differentiated to cardiomyocytes time-course profiled with Cap Analysis Gene Expression., Conclusions: xcore provides a simple analytical framework for gene expression modeling using linear models that can be easily incorporated into differential expression analysis pipelines. Taking advantage of public ChIP-seq databases, xcore can identify meaningful molecular signatures and relevant ChIP-seq experiments., (© 2023. The Author(s).)

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) is the most widely used method for analyzing genome-wide DNA-protein interactions. Because there is considerable variation in the modes and strengths of DNA-protein interactions, chromatin immunoprecipitation (ChIP) protocols have been diversified and optimized for different needs. Here, we describe protocols for detecting histone modifications and modifiers using various crosslinking and immunoprecipitation conditions. We provide a complete ChIP-seq workflow covering sample preparation, immunoprecipitation, next-generation sequencing (NGS) library preparation, and data analyses., (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Chromatin immunoprecipitation (ChIP) is a widely used method to map protein-DNA interactions in vivo. Formaldehyde cross-linked chromatin is fragmented, and the protein of interest is immunoprecipitated using a specific antibody. The co-immunoprecipitated DNA is then purified and analyzed by quantitative PCR (ChIP-qPCR) or next-generation sequencing (ChIP-seq). Therefore, from the amount of DNA recovered, it can be inferred the localization and abundance of the target protein at specific loci or throughout the entire genome. This protocol describes how to perform ChIP from Drosophila adult fly heads., (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)