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A--High Throughput Compatible Gene Expression Profili
Contact and place of performance
Growney, Matthew
Not specified
The contractor is responsible for providing support to evaluate treatment-related changes in gene expression in samples collected from animal or plant species of interest to EPA. Examples of available technologies that can provide these types of data include, but are not limited to, various targeted or untargeted RNA sequencing approaches, microarrays, and high-density PCR arrays. The EPA is interested in the contractor measuring multiplexed transcriptomic changes for up to 50,000 protein coding genes using purified RNA, cDNA libraries, or tissue lysates (where compatible with the technology) as inputs.
The Environmental Protection Agency (EPA), Cincinnati Acquisition Division, issued an award notice for high-throughput compatible gene expression profiling under solicitation number 68HERC21R0032. This requirement is classified under NAICS 541715 for Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) and PSC AJ11 for General Science and Technology R&D Services; General Science and Technology; Basic Research. The notice was published on September 1, 2021, and identifies Matthew Growney as the point of contact.
The contractor provides technical support to evaluate treatment-related changes in gene expression within samples collected from animal or plant species of interest to the agency. The scope of work involves measuring multiplexed transcriptomic changes for as many as 50,000 protein-coding genes. Performance requires the use of inputs such as purified RNA, cDNA libraries, or tissue lysates, depending on the compatibility of the specific technology used.
Methodologies for these evaluations include various targeted or untargeted RNA sequencing approaches, microarrays, and high-density PCR arrays. These services facilitate the analysis of transcriptomic data to identify biological responses to specific treatments across a wide range of genetic targets.
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