Value Justification from Funder's Perpsective

Value Justification from Funder's Perpsective

Status Quo

Status Quo

Primary costs (based on listed academic & commercial CRO pricing):

  • ~$300 to >$500 per LC-MS run +

  • ~$50 to >$1500 per sample to acquire (precious) samples +

  • $$ bioinformatics labor costs

  • optional: $$$ for AI engineer's labor costs

Other Costs:

  • $30 to >$250 per sample for protein-level enrichments (e.g., nanoparticle enrichments)

  • $30 to >$250 per sample for peptide-level enrichments (e.g., glycopeptide / phosphopeptide enrichments etc.)

  • $$ for study design, project funding efforts (e.g, grant writing, budget justifications), documentation & commercialization (e.g., paper writing & publication, patent lawyer fees etc.)

=> real fully loaded costs: easily at least~$500 to substantially over $1000 per sample

=> But, only quantify those peptides fully identified from FASTA files (no dark proteome)

vs.

vs.

Adding in GoldenHaystack Lab

Adding in GoldenHaystack Lab


For a fraction of the above cost —>

  • quantify not only the peptides in the FASTA files, but also those present in the dark proteome. (There are up to ~2000% more peptides in one's DIA-MS data files that are from the dark proteome compared to the FASTA search space, but more importantly, they are often the more biologically valuable ones)

  • other key considerations

  • Quantify up to ~2000% more analytes in MS

  • Accurate FDRs

  • Fast Processing

  • Fast Visualizations (upon request), even for >>50 MS Files

  • And most importantly:

    The set of up to ~2000% more quantified analytes exclusively contains the biologically invaluable peptides (vs same-old, same-old standard FASTA-derived peptides that everyone has seen for decades.)