The Aptamarker platform is a top-down approach to next-generation high- plex proteomics. We convert protein abundance information to DNA abundance in a manner analogous to what Olink and SomaLogic have developed, but with several improvements based on the following innovations:
Other biomarker discovery technologies are bottom-up approaches. Both companies have expended tremendous effort identifying probes (antibodies or aptamers) that bind to the canonical form of specific proteins, one protein at a time. Our approach is more powerful and simpler because we apply a library of 16.8 million Aptamarkers to every sample. These Aptamarkers bind to both canonical proteins and non-canonical forms of these proteins including post-translational modifications, cleavage events, folding, and complexes. Pathophysiologies often arise from non-canonical forms of proteins (proteins breaking bad…). Our platform has the capacity to identify these directly.
Traditional proteomics is based on direct measurement of the proteins. By translating protein information into DNA information, it is possible to employ the power of next generation sequencing and qPCR analysis for rapid and simple quantification. Transcriptomics is closer to our platform than traditional proteomics, but transcriptomics is limited to information at the RNA level. This does not include important variables such as translation rates and protein half-life.
Yes, unlike other platforms we are prepared to release sequences to collaborators in projects for direct commercial development of diagnostic test kits.
In the Aptamarker process we validate information gained from next generation sequencing through qPCR analysis. Thus, qPCR applications are implicit in the discovery of the Aptamarkers. It is a simple matter to translate this to a commercially feasible, regulatory approved diagnostic application.
The technology can be readily developed for high throughput liquid handling. Our process does not require specialized equipment, all that is needed is the capacity to spin samples and Aptamarkers down, and PCR amplify the supernatant to prepare for NGS analysis.
We routinely use 10 to 15 uL of plasma per sample.
Currently we have not characterized our libraries in terms of what they bind to, but we are initiating projects that will change this. We intend to have the binding patterns of thousands of proteins completed by the end of 2024.
The basis of an Aptamarker experiment is the application of the Aptamarker library to samples that differ phenotypically (a contrast). We do not need to have any pre-conceived hypothesis as to why the samples might differ on a molecular level, we let the Aptamarker data inform us.
At no point in this process are animals involved, unless the samples under study are derived from them. Aptamarkers are chemically synthesized.
The Aptamarker platform is a top-down approach to next-generation high- plex proteomics. We convert protein abundance information to DNA abundance in a manner analogous to what Olink and SomaLogic have developed, but with several improvements based on the following innovations:
Other biomarker discovery technologies are bottom-up approaches. Both companies have expended tremendous effort identifying probes (antibodies or aptamers) that bind to the canonical form of specific proteins, one protein at a time. Our approach is more powerful and simpler because we apply a library of 16.8 million Aptamarkers to every sample. These Aptamarkers bind to both canonical proteins and non-canonical forms of these proteins including post-translational modifications, cleavage events, folding, and complexes. Pathophysiologies often arise from non-canonical forms of proteins (proteins breaking bad…). Our platform has the capacity to identify these directly.
Traditional proteomics is based on direct measurement of the proteins. By translating protein information into DNA information, it is possible to employ the power of next generation sequencing and qPCR analysis for rapid and simple quantification. Transcriptomics is closer to our platform than traditional proteomics, but transcriptomics is limited to information at the RNA level. This does not include important variables such as translation rates and protein half-life.
Yes, unlike other platforms we are prepared to release sequences to collaborators in projects for direct commercial development of diagnostic test kits.
In the Aptamarker process we validate information gained from next generation sequencing through qPCR analysis. Thus, qPCR applications are implicit in the discovery of the Aptamarkers. It is a simple matter to translate this to a commercially feasible, regulatory approved diagnostic application.
The technology can be readily developed for high throughput liquid handling. Our process does not require specialized equipment, all that is needed is the capacity to spin samples and Aptamarkers down, and PCR amplify the supernatant to prepare for NGS analysis.
We routinely use 10 to 15 uL of plasma per sample.
Currently we have not characterized our libraries in terms of what they bind to, but we are initiating projects that will change this. We intend to have the binding patterns of thousands of proteins completed by the end of 2024.
The basis of an Aptamarker experiment is the application of the Aptamarker library to samples that differ phenotypically (a contrast). We do not need to have any pre-conceived hypothesis as to why the samples might differ on a molecular level, we let the Aptamarker data inform us.
At no point in this process are animals involved, unless the samples under study are derived from them. Aptamarkers are chemically synthesized.
The Aptamarker platform is a top-down approach to next-generation high- plex proteomics. We convert protein abundance information to DNA abundance in a manner analogous to what Olink and SomaLogic have developed, but with several improvements based on the following innovations:
Other biomarker discovery technologies are bottom-up approaches. Both companies have expended tremendous effort identifying probes (antibodies or aptamers) that bind to the canonical form of specific proteins, one protein at a time. Our approach is more powerful and simpler because we apply a library of 16.8 million Aptamarkers to every sample. These Aptamarkers bind to both canonical proteins and non-canonical forms of these proteins including post-translational modifications, cleavage events, folding, and complexes. Pathophysiologies often arise from non-canonical forms of proteins (proteins breaking bad…). Our platform has the capacity to identify these directly.
Traditional proteomics is based on direct measurement of the proteins. By translating protein information into DNA information, it is possible to employ the power of next generation sequencing and qPCR analysis for rapid and simple quantification. Transcriptomics is closer to our platform than traditional proteomics, but transcriptomics is limited to information at the RNA level. This does not include important variables such as translation rates and protein half-life.
Yes, unlike other platforms we are prepared to release sequences to collaborators in projects for direct commercial development of diagnostic test kits.
In the Aptamarker process we validate information gained from next generation sequencing through qPCR analysis. Thus, qPCR applications are implicit in the discovery of the Aptamarkers. It is a simple matter to translate this to a commercially feasible, regulatory approved diagnostic application.
The technology can be readily developed for high throughput liquid handling. Our process does not require specialized equipment, all that is needed is the capacity to spin samples and Aptamarkers down, and PCR amplify the supernatant to prepare for NGS analysis.
We routinely use 10 to 15 uL of plasma per sample.
Currently we have not characterized our libraries in terms of what they bind to, but we are initiating projects that will change this. We intend to have the binding patterns of thousands of proteins completed by the end of 2024.
The basis of an Aptamarker experiment is the application of the Aptamarker library to samples that differ phenotypically (a contrast). We do not need to have any pre-conceived hypothesis as to why the samples might differ on a molecular level, we let the Aptamarker data inform us.
At no point in this process are animals involved, unless the samples under study are derived from them. Aptamarkers are chemically synthesized.