Immediate chromatin immunoprecipitation and on-bead quantitative PCR analysis: a versatile and rapid ChIP procedure

Genome-wide chromatin immunoprecipitation (ChIP) studies have brought significant insight into the genomic localization of chromatin-associated proteins and histone modifications. The large amount of data generated by these analyses, however, require approaches that enable rapid validation and analysis of biological relevance. Furthermore, there are still protein and modification targets that are difficult to detect using standard ChIP methods. To address these issues, we developed an immediate chromatin immunoprecipitation procedure which we call ZipChip. ZipChip significantly reduces the time and increases sensitivity allowing for rapid screening of multiple loci. Here we describe how ZipChIP enables detection of histone modifications (H3K4 mono- and trimethylation) and two yeast histone demethylases, Jhd2 and Rph1, which were previously difficult to detect using standard methods. Furthermore, we demonstrate the versatility of ZipChIP by analyzing the enrichment of the histone deacetylase Sir2 at heterochromatin in yeast and enrichment of the chromatin remodeler, PICKLE, at euchromatin in Arabidopsis thaliana.     

An optimised chromatin immunoprecipitation (ChIP) method for starchy leaves of Nicotiana benthamiana to study histone modifications of an allotetraploid plant

Molecular Biology Reports - All flowering plants have evolved through multiple rounds of polyploidy throughout the evolutionary process. Intergenomic interactions between subgenomes in polyploid...     

Quantitative sequential chromatin immunoprecipitation, a method for analyzing co-occupancy of proteins at genomic regions in vivo

Sequential chromatin immunoprecipitation (SeqChIP) is a procedure in which formaldehyde-crosslinked, protein–DNA complexes from living cells are subjected to two sequential immunoprecipitations with antibodies of different specificity. SeqChIP has been used to address, in a qualitative manner, whether two proteins can simultaneously co-occupy a stretch of DNA in vivo. Here, we expand on our earlier work and describe theoretical and practical considerations for performing and interpreting SeqChIP experiments in a quantitative manner. We provide a detailed experimental procedure for designing and performing SeqChIP experiments as well as experimental examples of the three possible outcomes: full co-occupancy, no co-occupancy and partial co-occupancy. In some cases of partial co-occupancy, the order of immunoprecipitations in SeqChIP can strongly influence the outcome. We experimentally confirm a quantitative parameter that provides a measure of co-occupancy of two proteins on a given region of DNA and provide information on how to interpret the results of SeqChIP experiments. Our quantitative treatment of SeqChIP data substantially expands the usefulness of the technique for elucidating molecular mechanisms in vivo.     

The use of a synthetic DNA-antibody complex as external reference for chromatin immunoprecipitation

Chromatin immunoprecipitation (ChIP) is an analytical method used to investigate the interactions between proteins and DNA in vivo. ChIP is often used as a quantitative tool, and proper quantification relies on the use of adequate references for data normalization. However, many ChIP experiments involve analyses of samples that have been submitted to experimental treatments with unknown effects, and this precludes the choice of suitable internal references. We have developed a normalization method based on the use of a synthetic DNA-antibody complex that can be used as an external reference instead. A fixed amount of this synthetic DNA-antibody complex is spiked into the chromatin extract at the beginning of the ChIP experiment. The DNA-antibody complex is isolated together with the sample of interest, and the amounts of synthetic DNA recovered in each tube are measured at the end of the process. The yield of synthetic DNA recovery in each sample is then used to normalize the results obtained with the antibodies of interest. Using this approach, we could compensate for losses of material, reduce the variability between ChIP replicates, and increase the accuracy and statistical resolution of the data.     

Fixated on fixation: using ChIP to interrogate the dynamics of chromatin interactions

A new study exploits the time-dependence of formaldehyde cross-linking in the commonly used chromatin immunoprecipitation (ChIP) assay to infer the on and off rates for site-specific chromatin interactions.     

A new method to reconstruct recombination events at a genomic scale

Recombination is one of the main forces shaping genome diversity, but the information it generates is often overlooked. A recombination event creates a junction between two parental sequences that may be transmitted to the subsequent generations. Just like mutations, these junctions carry evidence of the shared past of the sequences. We present the IRiS algorithm, which detects past recombination events from extant sequences and specifies the place of each recombination and which are the recombinants sequences. We have validated and calibrated IRiS for the human genome using coalescent simulations replicating standard human demographic history and a variable recombination rate model, and we have fine-tuned IRiS parameters to simultaneously optimize for false discovery rate, sensitivity, and accuracy in placing the recombination events in the sequence. Newer recombinations overwrite traces of past ones and our results indicate more recent recombinations are detected by IRiS with greater sensitivity. IRiS analysis of the MS32 region, previously studied using sperm typing, showed good concordance with estimated recombination rates. We also applied IRiS to haplotypes for 18 X-chromosome regions in HapMap Phase 3 populations. Recombination events detected for each individual were recoded as binary allelic states and combined into recotypes. Principal component analysis and multidimensional scaling based on recotypes reproduced the relationships between the eleven HapMap Phase III populations that can be expected from known human population history, thus further validating IRiS. We believe that our new method will contribute to the study of the distribution of recombination events across the genomes and, for the first time, it will allow the use of recombination as genetic marker to study human genetic variation.     

Chromatin immunoprecipitation (ChIP): revisiting the efficacy of sample preparation, sonication, quantification of sheared DNA, and analysis via PCR

The "quantitative" ChIP, a tool commonly used to study protein-DNA interactions in cells and tissue, is a difficult assay often plagued with technical error. We present, herein, the process required to merge multiple protocols into a quick, reliable and easy method and an approach to accurately quantify ChIP DNA prior to performing PCR. We demonstrate that high intensity sonication for at least 30 min is required for full cellular disruption and maximum DNA recovery because ChIP lysis buffers fail to lyse formaldehyde-fixed cells. In addition, extracting ChIP DNA with chelex-100 yields samples that are too dilute for evaluation of shearing efficiency or quantification via nanospectrophotometry. However, DNA extracted from the Mock-ChIP supernatant via the phenol-chloroform-isoamyl alcohol (PCIA) method can be used to evaluate DNA shearing efficiency and used as the standard in a fluorescence-based microplate assay. This enabled accurate quantification of DNA in chelex-extracted ChIP samples and normalization to total DNA concentration prior to performing real-time PCR (rtPCR). Thus, a quick ChIP assay that can be completed in nine bench hours over two days has been validated along with a rapid, accurate and repeatable way to quantify ChIP DNA. The resulting rtPCR data more accurately depicts treatment effects on protein-DNA interactions of interest.     

ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments

Chromatin immunoprecipitation (ChIP) is a well-established procedure to investigate interactions between proteins and DNA. Coupled with whole-genome DNA microarrays, ChIPS allow one to determine the entire spectrum of in vivo DNA binding sites for any given protein. The design and analysis of ChIP-microarray (also called ChIP-chip) experiments differ significantly from the conventions used for locus ChIP approaches and ChIP-chip experiments, and these differences require new methods of analysis. In this light, we review the design of DNA microarrays, the selection of controls, the level of repetition required, and other critical parameters for success in the design and analysis of ChIP-chip experiments, especially those conducted in the context of mammalian or other relatively large genomes.     

Application of an immunoprecipitation procedure to the study of SV40 tumor antigen interaction with mouse genomic DNA sequences.

Simian Virus 40 (SV40) large T antigen is a DNA binding protein with high affinity for segments of the viral genome. To find out whether T antigen also binds to sequences of genomic cellular DNA we mixed T antigen and SAU 3 A restricted mouse DNA under stringent DNA binding conditions. Resulting protein-DNA complexes were immunoprecipitated using T antigen specific monoclonal or polyclonal antibodies. The DNA fragments in the immunoprecipitates were cloned in plasmid vectors. Four plasmid clones were selected for a detailed investigation of the inserted mouse DNA fragments. Nucleotide sequencing and DNase I footprint experiments showed that T antigen binds to sites in these fragments consisting of two tandemly oriented G(A)AGGC pentamers separated by AT rich spacers of different lengths. The cellular binding sites are very similar in their architecture to the SV40-DNA binding site I. The isolated cellular DNA fragments with T antigen binding sites occur only once or a few times in the mouse genome. Our data help to further define the structure of T antigen's DNA binding sites. The genetic functions of the isolated cellular DNA elements are not known.     

Phosphotyrosine proteomic study of interferon alpha signaling pathway using a combination of immunoprecipitation and immobilized metal affinity chromatography

Tyrosine phosphorylation is a type of post-translational modification that plays a crucial role in signal transduction. Thus, the study of this modification at the proteomic level has great biological significance. However, because of the low abundance of tyrosine-phosphorylated proteins in total cell lysate, it is difficult to evaluate the dynamics of tyrosine phosphorylation at a global level. In this work, proteins carrying phosphotyrosine (pTyr) were first purified from whole cell lysate by immunoprecipitation using anti-pTyr monoclonal antibodies. After tryptic digestion, phosphopeptides were further enriched by IMAC and analyzed by LC-MS. Quantitative changes of tyrosine phosphorylation at the global level were evaluated using isotopic labeling (introduced at the methyl esterification step prior to IMAC). Using this double enrichment approach, we characterized interferon alpha (IFNalpha)-induced pTyr proteomic changes in Jurkat cells. We observed induced phosphorylation on several well documented as well as novel tyrosine phosphorylation sites on proteins involved in IFNalpha signal transduction, such as Tyk2, JAK1, and IFNAR subunits. A specific site on alpha-tubulin (Tyr-271) was observed to be phosphorylated upon treatment as well. Furthermore, our results suggest that LOC257106, a CDC42 GAP-like protein, is potentially involved in this pathway.     

High-throughput genotyping of unknown genomic terrain in complex plant genomes: lessons from a case study

Novel high-throughput genotyping technologies have facilitated rapid genotyping of single nucleotide polymorphisms in non-model organisms. Most plant species have complex genomes with a large proportion of their genes having one or more paralogous copies due to single gene duplications and ancient or recent polyploidization events. These paralogous gene copies are potential sources of genotyping errors, and hence genotyping of plant genomes is inherently difficult. Here we present a case study that exemplifies paralog-related problems in high-throughput genotyping of plant genomes. We used the MassARRAY genotyping platform to genotype the LpIRI locus in L. perenne populations; this gene is thought to be involved in low-temperature stress tolerance. The dissection of the molecular genetics underlying the genotyping results provides a good example of how unknown paralogs can mask the true genotype of the locus, instructive to the non-specialist plant researcher and breeder.     

Stabilization of chromatin structure by PRC1, a Polycomb complex.

The Polycomb group (PcG) genes are required for maintenance of homeotic gene repression during development. Mutations in these genes can be suppressed by mutations in genes of the SWI/SNF family. We have purified a complex, termed PRC1 (Polycomb repressive complex 1), that contains the products of the PcG genes Polycomb, Posterior sex combs, polyhomeotic, Sex combs on midleg, and several other proteins. Preincubation of PRC1 with nucleosomal arrays blocked the ability of these arrays to be remodeled by SWI/SNF. Addition of PRC1 to arrays at the same time as SWI/SNF did not block remodeling. Thus, PRC1 and SWI/SNF might compete with each other for the nucleosomal template. Several different types of repressive complexes, including deacetylases, interact with histone tails. In contrast, PRC1 was active on nucleosomal arrays formed with tailless histones.     

Ligand-induced transrepressive function of VDR requires a chromatin remodeling complex, WINAC

We have previously shown that the novel ATP-dependent chromatin remodeling complex WINAC is required for the ligand-bound Vitamin D receptor (VDR)-mediated transrepression of the 25(OH)D₃ 1-hydroxylase [1(OH)ase] gene. However, the molecular basis for VDR promoter association, which does not involve its binding to specific DNA sequences, remains unclear. To address this issue, we investigated the function of WSTF in terms of the association between WINAC and chromatin for ligand-induced transrepression by VDR. Results of in vitro experiments using chromatin templates showed that the association of unliganded VDR with the promoter required physical interactions between WSTF and both VDR and acetylated histones prior to VDR association with chromatin. The acetylated histone-interacting region of WSTF was mapped to the bromodomain, and a WSTF mutant lacking the bromodomain served as a dominant-negative mutant in terms of ligand-induced transrepression of the 1(OH)ase gene. Thus, our findings indicate that WINAC associates with chromatin through a physical interaction between the WSTF bromodomain and acetylated histones, that appears to be indispensable for VDR/promoter association for ligand-induced transrepression of 1(OH)ase gene expression.     

A genomic pathway approach to a complex disease: axon guidance and Parkinson disease

While major inroads have been made in identifying the genetic causes of rare Mendelian disorders, little progress has been made in the discovery of common gene variations that predispose to complex diseases. The single gene variants that have been shown to associate reproducibly with complex diseases typically have small effect sizes or attributable risks. However, the joint actions of common gene variants within pathways may play a major role in predisposing to complex diseases (the paradigm of complex genetics). The goal of this study was to determine whether polymorphism in a candidate pathway (axon guidance) predisposed to a complex disease (Parkinson disease [PD]). We mined a whole-genome association dataset and identified single nucleotide polymorphisms (SNPs) that were within axon-guidance pathway genes. We then constructed models of axon-guidance pathway SNPs that predicted three outcomes: PD susceptibility (odds ratio = 90.8, p = 4.64 × 10⁻³⁸), survival free of PD (hazards ratio = 19.0, p = 5.43 × 10⁻⁴⁸), and PD age at onset (R² = 0.68, p = 1.68 × 10⁻⁵¹). By contrast, models constructed from thousands of random selections of genomic SNPs predicted the three PD outcomes poorly. Mining of a second whole-genome association dataset and mining of an expression profiling dataset also supported a role for many axon-guidance pathway genes in PD. These findings could have important implications regarding the pathogenesis of PD. This genomic pathway approach may also offer insights into other complex diseases such as Alzheimer disease, diabetes mellitus, nicotine and alcohol dependence, and several cancers.     

FIGENIX: Intelligent automation of genomic annotation: expertise integration in a new software platform

Background  

Two of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position and structure, and inferring their function (as well as of other features of genomes). Structural and functional annotation both require the complex chaining of numerous different software, algorithms and methods under the supervision of a biologist. The automation of these pipelines is necessary to manage huge amounts of data released by sequencing projects. Several pipelines already automate some of these complex chaining but still necessitate an important contribution of biologists for supervising and controlling the results at various steps.