Deep DIA

Go Deep™

Low-Abundant Proteoforms

Low-abundant proteoforms disproportionally impact biology. With the DeepSearch™ DIA MS acquisition protocol, your lab can reproducibly quantify up to 1.5 orders-of-magnitude more low-abundant proteoforms (i.e., up to ~31x), all without a spectral library.

Spectral Library Free

No spectral libraries are required in the DeepSearch DIA acquisition protocol. This in-and-of-itself has been a major reason of interest among our collaborators, as generating spectral libraries is an extremely time-consuming process (MS time, technician time, sample-prep and fractionation time, time to account for for multiple replicates, and most-importantly, informatics time), and that’s just for the initial library. If a biologist end-user changes her mind and wishes to determine if a new PTM is in the samples, the whole spectral library generation process needs to be repeated.

The ~80% of Unidentified Analytes

The DeepSearch DIA protocol allows almost 100% of analytes in the MS, including the ~80% that are typically not identified, to be used in predicting differences between sample conditions. This ability has been referred to by our colloborators as “very powerful”, and to the best of our knowledge, is unique to the DeepSearch DIA MS acquisition technology.

Easy: 10x Fewer Steps/Decisions

At least 10x fewer steps, decisions, and time investment are required, saving your lab members’ precious time, minimizing errors, and minimizing human-induced variability.

Rich Visualizations

Initially, we built a rich visualization layer for every step of the informatics pipeline (from raw file to deconvoluted & centroided mz, to feature construction, to feature deconvolution, to pseudo mgf construction, and then to final peptide and protein identification and quantitation) just for ourselves. We needed a complete, end-to-end, interactive, and easy tool to analyse our own pipeline to clearly understand how the initial data looked and how it looked after being processed through each stage of the pipeline. We didn’t think end-users would care. But, our end-users were scientists, and they cared for a variety of different reasons/use-cases that we hadn’t initially predicted. This visualization ability turned out to be one of the most sought-after features.

Almost Real-Time (~1000x Faster)

Your lab can receive partial, incrementally improving, results within minutes of every few MS runs, instead of receiving results days/weeks after the last sample’s MS run. Our collaborators desperately desired this ability so that they could detect (and then correct for) MS problems within a batch, instead of days, and in some of the medium-sized projects, even weeks after a batch has already been processed, samples consumed, MS time spent, technician time used, long-running informatics programs run etc.

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We, the Deep DIA Team, believe so strongly that the DeepSearch DIA protocol can make a substantive biological impact that we offer

* the DeepSearch DIA acquisition protocol;

* the corresponding informatics;

* the corresponding visualization layer; and,

* access to our bioinformaticists/engineers (including initial hands-on training)

as a collaborative, hassle-free, state-of-the-art solution for your lab.