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Statistical Methods for Bulk-Tissue and Single-Cell Multi-Omics Integration

Award Number: R35GM138342
ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/05/2020
PERIOD OF PERFORMANCE END DATE: 03/31/2026

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Statistical Methods for Bulk-Tissue and Single-Cell Multi-Omics Integration - PROJECT SUMMARY/ABSTRACT Single-cell sequencing circumvents the averaging artifacts associated with traditional bulk population data and has seen rapid technological developments over the past few years. This offers new opportunities to study genomic, transcriptomic, and epigenomic heterogeneity at the cellular level without cell type confounding, but it also requires novel analytical approaches. One major challenge in such genomic studies is the lack of rigorous methods for integrating bulk-tissue and single-cell sequencing data and for aligning multi-modal single-cell omics data. The research program of my lab centers around developing statistical/computational methods and bioinformatics tools to better utilize and analyze different types of next-generation sequencing data, with a special focus on detecting structural variants, deciphering genomic and transcriptomic heterogeneity, and assessing cellular heterogeneity by single-cell omics approaches. Our long-term vision is to introduce problems arising from new biomedical data to the statistics community and to provide data-driven statistical methods and open- source tools to biomedical researchers for better data analysis and experimental design. Specifically, in the next five years, our proposed program of research will focus on the following interconnected objectives: (i) bulk omics deconvolution aided by single-cell sequencing, followed by association testing with clinical variables; (ii) joint modeling of bulk genomic sequencing and single-cell transcriptomic sequencing data to simultaneously infer DNA and RNA variation at the single-cell level; and (iii) multi-modal alignment of single-cell omics data. During this period, we will keep collaborating with experimental labs, applying our developed methods to interrogate cellular heterogeneity under both biological and clinical settings. We will provide our methods as freely available and open-source R packages, which will include extensive tutorials and workflows that are accessible and useful to the biomedical research community.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	TEXAS A & M UNIVERSITY	400 HARVEY MITCHELL PKY S STE 300	COLLEGE STATION	TX	77845	BRAZOS	USA	Biomedical Research and Research Training	000	6	8/20/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $361,284 )
2024	2024	TEXAS A & M UNIVERSITY	400 HARVEY MITCHELL PKY S STE 300	COLLEGE STATION	TX	77845	BRAZOS	USA	Biomedical Research and Research Training	005	6	7/30/2024	NON-COMPETING CONTINUATION	$368,048
2024	2023	TEXAS A & M UNIVERSITY	400 HARVEY MITCHELL PKY S STE 300	COLLEGE STATION	TX	77845	BRAZOS	USA	Biomedical Research and Research Training	004	5	5/22/2024	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$167,656
2024	2023	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	000	4	11/7/2023	NON-COMPETING CONTINUATION	-$375,208
2024	2023	TEXAS A & M UNIVERSITY	400 HARVEY MITCHELL PKY S STE 300	COLLEGE STATION	TX	77845	BRAZOS	USA	Biomedical Research and Research Training	001	5	11/8/2023	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$368,444
2024	2023	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	003	4	5/22/2024	NON-COMPETING CONTINUATION	-$1
2024	2022	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	002	3	5/22/2024	NON-COMPETING CONTINUATION	-$167,655
														Subtotal = $361,284

Issue Date FY: 2023 ( Subtotal = $375,209 )
2023	2023	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	000	4	9/21/2023	NON-COMPETING CONTINUATION	$375,209
														Subtotal = $375,209

Issue Date FY: 2022 ( Subtotal = $375,209 )
2022	2022	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	000	3	8/2/2022	NON-COMPETING CONTINUATION	$375,209
														Subtotal = $375,209

Issue Date FY: 2021 ( Subtotal = $375,209 )
2021	2021	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	000	2	7/25/2021	NON-COMPETING CONTINUATION	$375,209
														Subtotal = $375,209

Issue Date FY: 2020 ( Subtotal = $376,250 )
2020	2020	UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL	104 AIRPORT DR STE 2200	CHAPEL HILL	NC	27599	ORANGE	USA	Biomedical Research and Research Training	000	1	9/3/2020	NEW	$376,250
														Subtotal = $376,250

Grand Total All Awards = $1,863,161

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Statistical Methods for Bulk-Tissue and Single-Cell Multi-Omics Integration

Award Number: R35GM138342

ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/05/2020

PERIOD OF PERFORMANCE END DATE: 03/31/2026

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