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High-throughput Single Cell Co-assay of Histone Modifications and Transcriptome

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41GM146330-01
Agency Tracking Number: R41GM146330
Amount: $350,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: 400
Solicitation Number: PA20-025
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-09-15
Award End Date (Contract End Date): 2022-08-31
Small Business Information
2665 BOCA RATON ST
Del Mar, CA 92014-3521
United States
DUNS: 117647710
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 BING REN
 (858) 822-5766
 biren@ucsd.edu
Business Contact
 PEI LIN
Phone: (858) 344-1618
Email: peilin9@gmail.com
Research Institution
 LUDWIG INSTITUTEFOR CANCER RESLTD
 
9500 GILMAN DRIVE - MC 0660
LA JOLLA, CA 92093-0660
United States

 Domestic Nonprofit Research Organization
Abstract

AbstractEpigenome analysis can help dissect the transcriptional regulatory sequences that control spatiotemporal
patterns of gene expression during anima development and disease pathogenesis, but a major challenge to
epigenome analysis is the heterogeneity of primary tissues. Conventional epigenome assays that take bulk
tissues as input only produce population average signals. To address this major bottleneck, we propose to
develop an ultra-high throughput single-cell multi-omics method, Paired-Tag, for joint profiling of histone
modifications and transcriptome. In preliminary experiments, we have demonstrated the feasibility and utility of
this method through analysis of the nuclear transcriptome and multiple histone modifications at single cell
resolution in the adult mouse frontal cortex and hippocampus. In the proposed study, we will further optimize
the current Paired-Tag protocol and demonstrate its utility in cancer epigenome analysis. If successful, the
research would add a major toolkit for the production of cell-type-resolved maps of chromatin state and
transcriptome in complex tissues and enable next generation epigenome analysis of tumor samples.We proposed to develop a powerful high throughput method to investigate the inner workings of human cells
at single cell resolution. The resulting tool could have broad use in biomedical research.

* Information listed above is at the time of submission. *

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