SBIR/STTR Research Award

High-specificity affinity reagents for N-glycosylation site mapping and glycomics

Award identifier 0ded48b902794d0d8c0477187b23180751a46340a6a506b0cb6e51560ca8e9e4Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,728,189

Program and phase

STTR · Phase II

Award year

2013

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
LECTENZ BIO, INC.
Proposal award date
2013-09-20
Contract end date
2016-08-31
UEI
JTGCK219C6F4
Solicitation number
PA11-214
Topic code
300

Research abstract

DESCRIPTION Glycans have several distinct properties that make them excellent targets for disease biomarkers Firstly the location of the glycans on the cell surface makes them the first point of contact of cellular interactions and thus crucial in the control of normal metabolic processes Cell surface molecules are also strategically exposed for surveillance by the immune system allowing for the potential of immune recognition of abnormal cells Secondly specific glycan structures that are not present or are in low amounts in normal states proliferate in disease states And lastly changes in glycosylation involve many proteins including those that are highly abundant Therefore a single change in a cellandapos s glycosylation machinery can affect many different glycoconjugates To effectively employ and discover glycan disease markers new glycan specific reagents are urgently needed Using computational methods to guide molecular evolution carbohydrate processing enzymes will be converted into high affinity receptor proteins that retain the native specificity of the enzyme but which no longer have enzyme activity Because such a protein has lectin like properties but is derived from an enzyme we are calling them andquot Lectenz r andquot Lectenz r have several potential advantages over lectins and antibodies as glycomics reagents including precise definition of specificity ease of preparation in a monovalent form and for human homologues minimal in vivo toxicity In this proposal the peptide N glycanase F PNGase F carbohydrate processing enzyme will be converted into a high specificity affinity reagent for peptides and proteins that contain asparagine linked carbohydrate chains The Lectenz r based on PNGase F may be employed directly to address the needs of glycomics proteomics analysis through sample enrichment thus facilitating glycosylation site mapping Glycosylation site mapping is currently extremely tedious to perform and yet is essential in fully characterizing and exploiting glycans as markers of specific disease states The principle advantages of an engineered Lectenz r are that the Lectenz r is specific to a defined carbohydrate sequence and in contrast to antibodies will recognize that sequence in a broad range of glycan contexts Further in contrast to plant lectins engineered Lectenz r are derived from enzymes that have exquisite substrate specificities and low toxicities Lastly as there is an abundance of carbohydrate processing enzymes known it is possible to employ the Lectenz r technology patent pending to assemble panels of affinity reagents tailor made for characterizing monitoring or detecting specific glycans PUBLIC HEALTH RELEVANCE We are converting carbohydrate processing enzymes into high affinity receptor proteins called Lectenz r that can be used to help discover detect and monitor glycan based disease markers The principle advantages of Lectenz r over other reagents such as antibodies or plant lectins is that they have known sequence specificity that is not context dependent they may be produced as monomeric proteins and for human homologues have minimal in vivo toxicity Here a Lectenz r will be derived from the PNGase F carbohydrate processing enzyme for use as a high specificity affinity reagent for peptides and proteins that contain asparagine linked carbohydrate chains which will find use in glycomics analyses aimed at disease marker discovery

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

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

18 SBIR/STTR records share this UEI (2009–2025). Reported award amounts total $14,474,759. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.