Multiplexing and high throughput

Our patented technology enables a multiplex and high-throughput assay of histone post-translational modifications. At its core, the workflow utilises chromatin immunoprecipitation sequencing (ChIP-seq) and library preparation, requiring minimal adjustments for ChIP-seq useres to adopt in their laboratories. Multiplexing (multiple targets) and high-throughput (multiple samples) is combined to streamline large-scale ChIP-seq experiments, reduce unspecific background and enable direct quantitative comparisons between samples. The proprietary design is also compatible with mapping transcription factors and other chromatin-associated proteins, providing a robust workflow from sample to quantitative data for numerous fields of interest. With minor adjustments, target panels can be adopted to include DNA methylation, and other epigenetic markers.

Genome-wide, global-level or locus-specific quantification

EpiFinderTM supports all approaches and scales of analysing histone modifications. Our genome-wide quantification method is comprehensive, designed for high-quality profiling across the entire genome, with reduced background noise and increased specificity and sensitivity. The global profiling allows for global-level quantification, targeting various genomic regions using very low-depth sequencing, and is optimised to significantly reduce the required labour and input material. Multiplexed advantages and high-throughput capabilities are also leveraged when studying individual genomic loci through locus-specific quantification. Epigenica supports our customers’ science, regardless of the region of interest or scope of investigation.

Data analysis

Our kits generate up to 9 sequencing-ready Illumina libraries. We offer a dedicated quantitative data analysis pipeline that simplifies the user experience and enables full utilisation of the multiplexed data. The pipeline is built on open-source technology, allowing bioinformaticians to fully customise the software according to their specific needs.

Example output

Mouse embryonic stem cells, 8 conditions (additional replicates not shown), 2 histone post-translational modifications, 2 chromatin proteins:

Setting a new standard for experimental replicability

Scientist too often face the dilemma when performing genome-wide experiments: multiple replicates of a measurement are needed to mitigate experimental variability and yield statistically significant results, but the cost and effort for an experiment directly multiplies with the number of replicates. With Epigenica’s products and services, you will never have to compromise on replicates again. Through an efficient multiplexed workflow, EpiFinder™ allows to carry four or higher numbers of replicates through every genome-wide experiment at no extra effort. Our open-source analysis pipeline breaks down replicate and summary statistics ready for the downstream analysis of your choice. Join our effort to promote better science with trustable statistics and intrinsically quantitative comparisons.

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