Real-time Cellular Thermal Shift Assay and Analysis (RT-CETSA) for Research and Drug Discovery

Scientists at NCATS have developed a novel Cellular Thermal Shift Assay (CETSA), named “Real-time CETSA” in which temperature-induced aggregation of proteins can be monitored in cells in real time across a range of compound concentrations and simultaneously across a temperature gradient in a high-throughput manner. Real-time CETSA streamlines the thermal shift assay and allows investigators to capture full aggregation profiles for every sample.

The NCGC BioPlanet: A Computational Algorithm to Display Networks in Three Dimensions

This technology includes a novel computational algorithm and software implementation to map and display biological pathways and their relationship on the surface of a globe in a three-dimensional space. Currently, biological pathways and genes are represented as two-dimensional networks, which is not effective for displaying complicated relationships between pathways and genes.

Imaging Inflammation using PET Radioligands that Target Translocator Protein 18?kDa with High Affinity Regardless of Genotype

This technology includes a group of radioligands that label inflammatory cells specifically, accurately, and across different genotypes and can be detected using Positron Emission Tomography (PET). The radioligands target the Translocator protein 18 kDa (TSPO) receptor which is present on the outer mitochondrial membrane and is involved in the production of steroids. Current TSPO radioligands either lack specificity or have highly variable inter-subject sensitivities due to TSPO genotypic differences.

Imaging Inflammation using PET Radioligands that Target Translocator Protein 18?kDa with High Affinity Regardless of Genotype

This technology includes a group of radioligands that label inflammatory cells specifically, accurately, and across different genotypes and can be detected using Positron Emission Tomography (PET). The radioligands target the Translocator protein 18 kDa (TSPO) receptor which is present on the outer mitochondrial membrane and is involved in the production of steroids. Current TSPO radioligands either lack specificity or have highly variable inter-subject sensitivities due to TSPO genotypic differences.

NIMH DAO Toolbox: Data acquisition software that enables real-time sample analysis

This technology relates to a software package called NIMH DAO Toolbox that uses multithreading and a unique buffer structure to shorten gaps in sample readouts. Data acquisition devices running in continuous sampling mode collect data samples at a given sampling rate. The samples are typically stored in a memory buffer and read out at a regular interval. If the sampling rate is short enough, there can be a gap between the time the first sample is acquired and the time that sample is available to the user. This gap is typically on the order of tens of milliseconds.

A Mood-Machine-Interface as an Intervention for Emotional Self-Regulation in Real-Time

This technology relates to a closed-loop controller that is being developed as a phone app for emotional self-regulation in real-time. There is a significant association between emotion dysregulation and symptoms of depression, anxiety, eating pathology, and substance abuse, affecting millions worldwide. Consisting of a closed-loop controller that adjusts reward values in real-time according to individual mood response, the Mood Machine Interface technology compensates for adaptation to stimuli over time allowing it to generate substantial mood changes in the user.

Radioligand for imaging brain PDE4 subtype D receptors with positron emission tomography

The technology relates to the first radioligands that can be used to image and quantify the enzyme phosphodiesterase subtype D (PDE4D). The PDE4D proteins have a role in carrying out signal transduction pathways in several cell types and is thought to be the key target of various antidepressants. Current work with imaging the radioligands in monkey brains using positron emission tomography (PET) has been successful, and further work with humans is needed.

Automatic brain lesion incidence and detection from multimodal longitudinal magnetic resonance imaging using SuBLIME

This invention relates to methods and algorithms that incorporate information from multiple imaging modalities to identify, estimate the size, and track the time course of brain lesions. Subjects develop brain lesions over the natural course of a disease. Currently, lesions are measured and tracked by a trained neuroradiologist using slice-by-slice inspection, a slow process that is prone to human error and hard to generalize to large observational studies.

HeLa Cells Stably Expressing YFP-Parkin and mt-mKeima to Study Parkinson Disease

This technology includes a cell line that stably expresses YFP-Parkin and mt-mKeima that can be used to study mitochondrial degradation, mitophagy, using flow cytometry (FACS). Compromised mitophagy is implicated in Parkinson disease. The effects of any compounds or genetic alteration on Parkin-mediated mitophagy can be monitored.

Improved cortical lesion detection by MRI using high resolution CSF-suppressed T2*-weighted imaging

This technology is an improvement on the ability to visualize cortical lesions in neurological diseases that cause focal tissue damage to the cortex, including multiple sclerosis (MS). Two approaches are used. The first approach includes optimization of routinely available diffusion-weighted sequences to maximize resolution and contrast, both of which are required to differentiate small cortical lesions from normal-appearing cortex.