High-Throughput ChIPmentation
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ABSTRACT:
PROVIDER: PRJEB23059 | ENA |
REPOSITORIES: ENA
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Project description:Chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq) is widely used to map histone marks and transcription factor binding throughout the genome. Here we present ChIPmentation, a method that combines ChIP with sequencing library preparation by Tn5 transposase (“tagmentation”). ChIPmentation introduces sequencing-compatible adapters in a single-step reaction directly on bead-bound chromatin, which reduces time, cost, and input requirements, making ChIPmentation a convenient and high-throughput alternative to existing ChIP-seq protocols.
2015-08-17 | GSE70482 | GEO
Project description:To look at the deposition of the histone marks in the downstream regions of DoTT genes, HFFF cells were either mock, WT HSV-1 (strain F and 17) or ΔICP22 virus infected. Throught the course of infection (for the marked samples), cells were treated with 350 ug/ml PAA. Samples were processed according to the original ChIPmentation protocol (Schmidl C et al. ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors. Nat Methods. 2015) with few changes as explained in the Materials and Methods section.
2023-06-20 | GSE185246 | GEO
Project description:We profiled NELF and Aire binding in medullary thymic epithelial cells using ChIPmentation to investigate the logic of Aire's target choices
2024-03-11 | GSE224554 | GEO
Project description:A Scalable Epitope Tagging Approach for High Throughput ChIP-seq Analysis ChIP-seq comparison between CRISPR editing cells using epitope antibody and non-editing cells using endogeneous TF antibody
2016-09-01 | E-GEOD-78064 | biostudies-arrayexpress
Project description:Primary human fetal foreskin fibroblasts (HFFFs) were infected with wild-type simplex virus 1 (HSV-1) strain 17 at a multiplicity of infection (MOI) of 10. ChIPmentation libraries were prepared starting with 500,000 cells per condition following the protocol described by Christian Schmidl et al, Nature Methods 2015
2020-10-26 | GSE132920 | GEO
Project description:ChIPmentation-seq analysis of CTCF and RAD21 in wildtype and mutant CTCF binding sites alleles
2021-10-05 | GSE181384 | GEO
Project description:A Scalable Epitope Tagging Approach for High Throughput ChIP-seq Analysis
2016-09-01 | GSE78064 | GEO
Project description:The importance of single-cell level data is increasingly appreciated, and significant advances in this direction have been made in recent years. Common to these technologies is the need to physically segregate individual cells into containers, such as wells or chambers of a micro-fluidics chip. High-throughput Single-Cell Labeling (Hi-SCL) in drops is a novel method that uses drop-based libraries of oligonucleotide barcodes to index individual cells in a population. The use of drops as containers, and a microfluidics platform to manipulate them en-masse, yields a highly scalable methodological framework. Once tagged, labeled molecules from different cells may be mixed without losing the cell-of-origin information. Here we demonstrate an application of the method for generating RNA-sequencing data for multiple individual cells within a population. Barcoded oligonucleotides are used to prime cDNA synthesis within drops. Barcoded cDNAs are then combined and subjected to second generation sequencing. The data are deconvoluted based on the barcodes, yielding single-cell mRNA expression data. In a proof-of-concept set of experiments we show that this method yields data comparable to other existing methods, but with unique potential for assaying very large numbers of cells. In this experiment we mixed 2 cell types (mES mEF) and then using single cell novel approach we could be able to find each cell (using its barcode) and assign it to mES of mEF and to produce mES and mEF aggregate bam files (converted to bed for GEO submission). 1152_RNA_RTprimers_Barcodes.txt: A list of all 1152 barcodes sequenced for Read2 fastq files.
2015-06-05 | E-GEOD-62050 | biostudies-arrayexpress
Project description:The importance of single-cell level data is increasingly appreciated, and significant advances in this direction have been made in recent years. Common to these technologies is the need to physically segregate individual cells into containers, such as wells or chambers of a micro-fluidics chip. High-throughput Single-Cell Labeling (Hi-SCL) in drops is a novel method that uses drop-based libraries of oligonucleotide barcodes to index individual cells in a population. The use of drops as containers, and a microfluidics platform to manipulate them en-masse, yields a highly scalable methodological framework. Once tagged, labeled molecules from different cells may be mixed without losing the cell-of-origin information. Here we demonstrate an application of the method for generating RNA-sequencing data for multiple individual cells within a population. Barcoded oligonucleotides are used to prime cDNA synthesis within drops. Barcoded cDNAs are then combined and subjected to second generation sequencing. The data are deconvoluted based on the barcodes, yielding single-cell mRNA expression data. In a proof-of-concept set of experiments we show that this method yields data comparable to other existing methods, but with unique potential for assaying very large numbers of cells.
2015-06-05 | GSE62050 | GEO
Project description:The field of proteomics has evolved hand-in-hand with technological advances in LC-MS/MS systems, now enabling the analysis of very deep proteomes in a reasonable time. However, most applications do not deal with full cell or tissue proteomes, but rather with restricted sub-proteomes relevant for the research context at hand or resulting from extensive fractionation. At the same time, investigation of many conditions or perturbations puts a strain on measurement capacity. Here we develop a high throughput workflow capable of dealing with large numbers of low or medium complexity samples and specifically aim at the analysis of 96-well plates in a single day (15 min per sample). We combine parallel sample processing with a modified liquid chromatography platform driving two analytical columns in tandem, which are coupled to a quadrupole Orbitrap mass spectrometer (Q Exactive HF). The modified LC platform eliminates idle-time between measurements and the very high sequencing speed of the Q Exactive HF dramatically reduces required measurement time. We apply the pipeline to the yeast chromatin remodeling landscape, and demonstrate quantification of 96 pull-downs of chromatin complexes in about one day. This is achieved with only 500 µg input material, enabling yeast cultivation in a 96-well format. Our system retrieved known complex-members and the high throughput allowed probing with many bait proteins. Even alternative complex compositions were detectable in these very short gradients. Thus, sample throughput, sensitivity and LC/MS-MS duty cycle are improved several-fold compared to established workflows. The pipeline can be extended to different types of interaction studies and to other medium complexity proteomes.
2015-05-07 | PXD001695 | Pride