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FIND-seq: high-throughput nucleic acid cytometry for rare single-cell transcriptomics

Crossref DOI link: https://doi.org/10.1038/s41596-024-01021-y

Published Online: 2024-07-22

Published Print: 2024-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shin, Seung Won

Mudvari, Prakriti

Thaploo, Shravan

Wheeler, Michael A. https://orcid.org/0000-0002-0689-6384
Douek, Daniel C. https://orcid.org/0000-0001-5575-8634
Quintana, Francisco J.

Boritz, Eli A.

Abate, Adam R.

Clark, Iain C. https://orcid.org/0000-0001-9082-0253
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | National Institutes of Health (K22AI152644)

U.S. Department of Health & Human Services | National Institutes of Health (1R01DA059551-01)

U.S. Department of Health & Human Services | National Institutes of Health (U54 AI170856)

U.S. Department of Health & Human Services | National Institutes of Health (K22AI152644)

U.S. Department of Health & Human Services | National Institutes of Health (1R01DA059551-01)

U.S. Department of Health & Human Services | National Institutes of Health (U54 AI170856)

U.S. Department of Health & Human Services | National Institutes of Health

U.S. Department of Health & Human Services | National Institutes of Health

U.S. Department of Health & Human Services | National Institutes of Health

U.S. Department of Health & Human Services | National Institutes of Health

U.S. Department of Health & Human Services | National Institutes of Health
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Text and Data Mining valid from 2024-07-22

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Article History

Received: 9 September 2023

Accepted: 9 May 2024

First Online: 22 July 2024

Competing interests

: I.C.C., E.A.B. and A.R.A. have filed a patent related to FIND-seq.

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