Link phenotypic characteristics with gene expression profile of single cells at high throughput for drug discovery and cell therapy development

Ended Project Grant Awarded Last action

Award ID
R43HG012528
Recipient
Awarding agency
Obligated
$246,812

Award facts

Assistance listing
93.172 Human Genome Research
Completion date
Originally
Place of performance
Berkeley, CA 94710, USA

Award details come from USAspending.gov.

Description

Abstract
Researchers have shown substantial interest in the integration of phenomics and transcriptomics data for novel biological insights since phenotypic characteristics are highly correlated with gene expression patterns. However, there is a lack of an efficient approach that could link gene expression profiles to cellular phenotypes (e.g., protein abundance and localization, cellular morphology, enzymatic and metabolic activity) at single-cell level in a high-throughput manner. To bridge this GAP, wellsim proposes to develop a platform which can extract phenotypic characteristics from thousands of individual cells via high-content imaging and link these features with their transcriptomic profiles. This technology will not only achieve multi-dimensional single cell studies, but also improve the performance of single-cell RNA sequencing through automatic sample preparation on a microfluidic device without using barcoded beads.

Transactions

Action Obligated Date
Amendment $0
Original award $246,812

Quick answers

Who received award R43HG012528?

R43HG012528 was awarded to Wellsim Biomedical Technologies Inc. by National Human Genome Research Institute (National Institutes of Health) on August 12, 2022.

How much is award R43HG012528 worth?

$246,812 has been obligated on R43HG012528.

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