CMAPS Algorithm for Cross-Species DNA Methylation Arrays
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Solution Overview
Problem
Current methods for studying DNA methylation patterns across mammalian species, especially non-human mammals like naked mole-rats and killer whales, are technically challenging and expensive due to the need for species-specific technologies, which hinder cross-species comparisons and are not economically viable.
Innovation Solution
Development of a Conserved Methylation Array Probe Selector (CMAPS) algorithm to identify highly conserved CpG methylation sites in the human genome, allowing for the design of DNA methylation arrays that can tolerate cross-species mutations and hybridize with non-human mammalian genomes, enabling the creation of a single measurement platform for various mammalian species.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional species-specific methylation chips are developed for non-human mammals, then measurement precision for that specific species is improved, but device complexity and cost increase, and cross-species comparison capability is lost
Solution Approach 1:
The patent applies universality by designing a single methylation chip platform that can measure methylation patterns across multiple mammalian species simultaneously. The chip uses conserved genomic regions that are evolutionarily preserved across species, allowing one chip design to serve multiple species without requiring species-specific customization, thus reducing device complexity while maintaining measurement precision through targeted conserved loci.
Solution Approach 2:
The patent applies local quality by focusing measurement efforts on specific conserved genomic regions rather than attempting to measure all genomic locations. By identifying and targeting evolutionarily conserved CpG sites that are present across multiple species, the chip achieves accurate methylation measurement for each species at these critical loci without requiring comprehensive species-specific genome coverage, thereby reducing overall chip complexity.
2Measurement precision
If conventional species-specific methylation chips are developed for non-human mammals, then measurement precision for that specific species is improved, but manufacturing cost increases due to lack of economies of scale
Solution Approach 1:
The patent reduces manufacturing cost by creating a universal chip platform that can be manufactured in large quantities for use across multiple species. This universality enables economies of scale in production, as the same chip design can be mass-produced and then applied to study various mammalian species, eliminating the need for separate small-batch production runs for each species and thereby significantly reducing per-chip manufacturing cost.
Solution Approach 2:
The patent reduces manufacturing cost by focusing chip design on a limited set of conserved genomic loci rather than attempting to cover entire genomes. This targeted approach reduces the number of probes and features required on each chip, simplifying manufacturing processes and reducing material costs while still providing sufficient measurement precision for epigenetic studies across multiple species.
3Measurement precision
If conventional species-specific methylation chips are developed for non-human mammals, then measurement precision for that specific species is improved, but adaptability across different species decreases
Solution Approach 1:
The patent directly addresses the adaptability issue by designing a universal chip platform that works across multiple mammalian species. The chip targets evolutionarily conserved genomic regions that are present in humans, mice, and other mammals, enabling the same physical chip to be used for methylation measurements in different species and allowing direct cross-species comparison of epigenetic patterns, thereby maximizing adaptability while maintaining measurement precision.
Solution Approach 2:
The patent enhances cross-species adaptability by focusing on conserved genomic loci that are present across species boundaries. By targeting these locally conserved regions rather than species-specific genomic features, the chip achieves measurement precision in each species while simultaneously enabling comparison across species, as the same physical locations in the genome are being measured in all species studied.
4Measurement precision
If whole genome bisulfite sequencing is used, then comprehensive methylation profile is obtained, but cost increases significantly
Solution Approach 1:
The patent reduces assay cost by applying local quality - focusing methylation measurement on specific conserved genomic regions rather than attempting to sequence and analyze the entire genome. This targeted approach captures the most biologically relevant methylation patterns in evolutionarily conserved areas while avoiding the prohibitive costs of whole-genome sequencing, providing a cost-effective alternative that still delivers comprehensive coverage of functionally important regions.
Solution Approach 2:
The patent extracts and isolates the most important methylation measurement targets - the evolutionarily conserved CpG sites - from the complexity of the entire genome. By removing unnecessary genomic regions from the measurement scope and focusing only on these conserved loci, the assay achieves comprehensive coverage of biologically relevant methylation patterns at a fraction of the cost of whole-genome bisulfite sequencing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach facilitates efficient and cost-effective observation of methylation profiles and phenomena associated with methylation across a wide range of mammalian species, enabling cross-species comparisons and the development of epigenetic age estimators, while reducing the cost per chip through economies of scale.
Implementation Method 1
the plurality of polynucleotides cross hybridize to a plurality of polynucleotide sequences in the genomes of non-human mammalian species
Data Source
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AI summary
While methylation chips have 5 been widely used in human studies over the last ten years, methylation chips for non-human species have not, perhaps due to lack of sufficient demand and/or because species specific methylation chips may be suboptimal for cross-species comparisons. To address challenges in this technology, we developed an algorithm, Conserved Methylation Array Probe Selector (CMAPS), 10 which repurposes the degenerate base technology used to tolerate within-human variation to tolerate cross-species mutations. CMAPS performs a greedy search to obtain a maximal number of species that can be targeted using a probe for any CpG in the human genome, based on a multiple sequence alignment. CMAPS then ranks all the probes and chooses a final set so that arrays can be made that can query a large 15 number of mammalian species and varied genomic positions based on external annotations of exons, CpG islands and hyper versus hypo methylated regions.