Value Justification from Funder's Perpsective

Value Justification from Funder's Perpsective

(switch to mass spectrometrist's perspective)
(switch to mass spectrometrist's perspective)

Status Quo

Status Quo

  • Obvious costs:

    • ~$250 to >$500 per LC-MS run +

    • cost to acquire precious samples +

    • immediate post-processing costs (e.g., AI/stats team) +

    • other costs (e.g., additional pre LC-MS sample prep, such as from PreOmics or Seer etc.) +

  • Non-obvious but directly-related costs:

    • study design, project funding efforts (e.g, grant writing, budget justifications), marketing (e.g., paper writing), commercialization (e.g., patent lawyer fees)

    == ~$500 to >$1000 per sample for fully-loaded costs


  • —> Only quantify those peptides identified in genomics-derived (i.e., known to be incomplete) FASTA library search spaces (~5-25% of peptides in MS)

vs.

vs.

Adding in GoldenHaystack Lab

Adding in GoldenHaystack Lab

  • Quantify up to ~2000% more analytes in MS

  • Accurate FDRs

  • Fast Processing (even with >3PTMs searched in FASTA file, or large FASTA files, etc.)

  • 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 (e.g., unexpected proteolytic cleavages, SNPs, splice variants, microproteins etc.; or, unusual glycosolations, citrulinations, phosphorylations, methylations, dimethylations, acetylations, and 100s more PTMs) instead of peptides from genomics-derived FASTA libraries that everyone has seen for decades.

  • 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.)