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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Integrated Protein Technologies, Inc.
- Proposal award date
- 2017-09-14
- Contract end date
- 2018-11-30
- UEI
- J6F5TF5MS5S5
- Solicitation number
- PA16-302
- Topic code
- 200
Research abstract
Abstract
The analysis of proteins intact or following digestion via mass spectrometry has the potential to revolutionize
human health and wellness by identifying highly correlative markers for human disease and characterizing
protein based drugs Unfortunately the high cost of mass spectrometric protein analyses has presented a
barrier to their routine deployment in medical research diagnostic testing and quality control of
biopharmaceuticals Further sample loss during multistep preparation procedures makes many workflows
incompatible with samples either their number or limited amount acquired from patients or biopharma
development pipelines Despite prior investments in proteomics in the U S relatively few efforts are dedicated
to dramatically reducing cost This contrasts sharply with genomics where from the NHGRI explicitly
funded efforts that led to next generate sequencing
Our firm Integrated Proteomics Technologies seeks to expand upon an existing platform for automated
preparation of diverse protein samples for Bottom Up Middle Down and Top Down Mass Spectrometry The
platform SampleStream traps proteins in a fluidic channel via the action of a molecular weight cutoff membrane
Common sample preparation procedures such as buffer exchange concentration digestion alkylation can then
be carried out in a manner similar to filter assisted sample preparation FASP SampleStream solves the
challenges of many other sample preparation platforms by eliminating sample transfers eliminating robotics
and dramatically reducing both user time and their average training level required for successful robust
operations The resultant reductions in staff cost consumables and number of repeat analyses will yield a per
sample savings ranging from and forms the core of a successful business model in this space Further
the elimination of sample transfers and precipitation steps promises to dramatically reduce the amount of sample
required per analysis particularly for Top Down analyses on protein targets andgt kDa Together these effects
will provide the cost savings and reduced sample amounts needed to bring proteomics into routine conversation
with clinical research where the number of samples is high and the sample amount is low With success driven
by the power of positive feedback IPT will be a leading force in the private sector to reduce costs and increase
value for protein based measurement in research environments Project Narrative
Integrated Protein Technologies Inc seeks to further develop a fluidic platform for the automated preparation of
protein samples for bottom up middle down and top down mass spectrometric interrogation Our approach will
result in dramatically simplified sample preparation protocols reducing per sample analysis costs the amount
of sample required and the skill level of laboratory personnel Reduced sample requirements and reduced cost
will enable proteomics to impact clinical settings where required sample number is high and material from
individual patients is limited biopharma research and quality control where methods for native and intact protein
analysis are needed and basic protein science where non experts require simple and streamlined interfaces for
the production of mass spectrometric data from myriad workflows
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
Awards with the same topic code
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Research funding history
3 SBIR/STTR records share this UEI (2017–2019). Reported award amounts total $1,969,331. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Health and Human Services, National Science Foundation
Agency intelligence
Department of Health and Human Services
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