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Method to identify and design activation domains of plant transcription factors
Unmet Need The rise in the human population and a changing climate have placed increased strain upon the agricultural sector to produce high quality and high yield crops. This has led for a push to…
The Chronic Overlapping Pain Condition Screener
Unmet Need Ten Chronic Overlapping Pain Conditions (COPCs) are currently recognized by the National Institutes of Health Pain Consortium (eg, irritable bowel syndrome, chronic migraine headache, and chronic low back pain). These conditions affect millions…
Questionnaires for patients with Hidradenitis Suppurativa
Unmet Need Diseases with unknown etiology and overlapping symptoms present a significant challenge for accurate diagnosis in clinical settings, often resulting in misdiagnosis. Patients often wait years before receiving a correct diagnosis and proper treatment.…
Novel Self-Assembling Nanoparticles for Extended Duration Local Anesthetics
Unmet Need An estimated 40 million surgeries are performed every year in the United States. Out of this population, an estimated 80% had post-operative pain with 75% reporting it as moderate to extreme. Local anesthetics…
Modeling an extreme ultraviolet lithography mask by a deep fully convolutional network
Unmet Need Extreme ultraviolet (EUV) lithography is a patterning method that is at the forefront of semiconductor fabrication technology. EUV lithography uses wavelengths of light that are as small as 13 nm to produce incredibly…
Methods and compositions to sense m6A RNA modifications using a genetically encoded sensor
Unmet Need Gene expression is highly regulated through the addition of chemical modifications to RNA molecules. One such modification is methylation of adenosine residues to form m6A, a modified nucleotide which is found in thousands…
Data quality assurance framework for machine learning in healthcare
Unmet Need Currently, larger clinical datasets and electronic health records are fraught with unstandardized parameters and invalid datapoints that can cascade in downstream analyses. Such errors have a 92% incidence rate. These errors would be…
A highly sensitive next-generation sequencing technique for detecting cancerous mutations
Unmet Need Next-generation sequencing (NGS) methods have been widely adopted for both biological discovery and diagnostics in cancer patient care. In particular, the identification of new mutations or groups thereof arising within oncogenic pathways across…
Plasmids for the expression of B-arrestins and GRKs
Technology Duke inventors have generated 12 novel plasmids that can be used for the expression of β-arrestins and GRKs: pCDNA3-βarrestin1-Flag pCDNA3-βarrestin2-Flag pGEX-5G/LIC-βarrestin1 pGEX-5G/LIC-βarrestin2 pGEX-4T1-βarrestin1 C-terminus pGEX-4T1-βarrestin2 C-terminus pRK5-bGRK2 pRK5-bGRK3 pRK5-bGRK4 pRK5-hGRK5 pRK5-hGRK6 pRK5-hGRK26caax
Plasmids with RNA aptamers to B-arrestin
Technology Duke inventors have created 10 novel plasmids which can be used for the production of RNA aptamers to β-arrestins through in vitro translation: pCR-TOPO-8R1-36 pCR-TOPO-8R2-1 pCR-TOPO-8R2-15 pCR-TOPO-8R2-16 pCR-TOPO-8R2-20 pCR-TOPO-8R2-21 pCR-TOPO-8R2-24 pCR-TOPO-11R2-5 pCR-TOPO-11R2-7 pCR-TOPO-11R2-15
Transgenic zebrafish to direct epicardial gene expression
Technology Duke inventors have generated a novel zebrafish model that allows researchers to study epicardial cells during embryonic heart development and myocardial regeneration. This zebrafish line is termed Tg(tcf21:CreER)pd42. Specifically, this transgenic model was created…
iPSC line to identify novel therapies for ARVC
Technology Duke inventors have developed a novel induced pluripotent stem cell (iPSC) line that contains a mutation that impacts the TAX1BP3 gene, which causes arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC). Specifically, the iPSCs were derived from…