Value Justification from Mass Spectrometrist's Perspective

Value Justification from Mass Spectrometrist's Perspective

(switch to funder's perpsective)
(switch to funder's perpsective)

Thought Experiment (Preamble)

Thought Experiment (Preamble)

Imagine if the MS vendors announced today a new MS instrument that quantified up to ~2000% more peptides. Moreover, these additional peptides made up the dark proteome.

Imagine if the MS vendors announced today a new MS instrument that quantified up to ~2000% more peptides. Moreover, these additional peptides made up the dark proteome.

Thought Experiment Continued (Preamble)

Thought Experiment Continued (Preamble)

Further, there were now small add-on devices that instantly upgraded all your old MSs to these new MSs.

Further, there were now small add-on devices that instantly upgraded all your old MSs to these new MSs.

End of Thought Experiment

End of Thought Experiment

Finally, these devices could quantify the dark proteome from years' worth of previously generated DIA-MS data.

That is, there is no need to redo experiments, re-acquire limited precious samples, find lab space, or hire additional mass spectrometrists.

Finally, these devices could quantify the dark proteome from years' worth of previously generated DIA-MS data.

That is, there is no need to redo experiments, re-acquire limited precious samples, find lab space, or hire additional mass spectrometrists.

How valuable would these imaginary add-on devices be?

How valuable would these imaginary add-on devices be?

What GoldenHaystack Lab Provides

What GoldenHaystack Lab Provides

We provide this last above option, except instead of a physical set of devices, we open up our lab — i.e., the combination of the GoldenHaystack algorithm (preprint) plus our engineers — in order to provide the results outlined in the above thought experiment. Please see "Easy Workflow."

We provide this last above option, except instead of a physical set of devices, we open up our lab — i.e., the combination of the GoldenHaystack algorithm (preprint) plus our engineers — in order to provide the results outlined in the above thought experiment. Please see "Easy Workflow."

Estimating Lifetime Value

Estimating Lifetime Value

We estimate the lifetime value of discovering a parsimonious panel that separates study conditions as follows:

First, we conservatively assume that not every project's DIA-MS dataset will have parsimonious panels that separate study conditions (please see "VI. Limitations" in preprint). But if even only a small percentage of projects do, the potential >20 year total value is embarrassingly substantial, not just from a financial return-on-investment (ROI) perspective, but also from a science and humanity perspective.

We estimate the lifetime value of discovering a parsimonious panel that separates study conditions as follows:

First, we conservatively assume that not every project's DIA-MS dataset will have parsimonious panels that separate study conditions (please see "VI. Limitations" in preprint). But if even only a small percentage of projects do, the potential >20 year total value is embarrassingly substantial, not just from a financial return-on-investment (ROI) perspective, but also from a science and humanity perspective.

Emphasis on Speed

Emphasis on Speed

Because speed of discovery is valuable for many different reasons, we are partial towards labs that have a bias towards action.

Because speed of discovery is valuable for many different reasons, we are partial towards labs that have a bias towards action.

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