Evidence map›Paper›PMID 39039320›Full record

ReviewNature protocols2024

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

Seung Won Shin, Prakriti Mudvari, Shravan Thaploo, Michael A Wheeler, Daniel C Douek, Francisco J Quintana, Eli A Boritz, Adam R Abate, Iain C Clark

Abstract readReview
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. The immunophenotype and proviral landscape of HIV-infected CD4 T cells during antiretroviral therapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Astrocyte Functional Heterogeneity in Multiple Sclerosis.Journal of clinical neurology (Seoul, Korea) · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Seung Won ShinDepartment of Bioengineering, College of Engineering, California Institute for Quantitative Biosciences (QB3), University of California Berkeley, Berkeley, CA, USA.
Prakriti MudvariVirus Persistence and Dynamics Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Shravan ThaplooAnn Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael A WheelerAnn Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0689-6384
Daniel C DouekHuman Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-5575-8634
Francisco J QuintanaAnn Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Eli A BoritzVirus Persistence and Dynamics Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA.
Iain C ClarkDepartment of Bioengineering, College of Engineering, California Institute for Quantitative Biosciences (QB3), University of California Berkeley, Berkeley, CA, USA. iain.c.clark@berkeley.edu.ORCID 0000-0001-9082-0253

Funding

CHEETAH Center for the Structural Biology of HIV Infection, Restriction, and Viral DynamicsU54AI170856 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI WESLEY I. SUNDQUIST · 2022 to 2026
$34.4M
Sorting and Sequencing Latent Reservoirs in HIV+ Opioid UsersR01DA059551 · NIDA · J. DAVID GLADSTONE INSTITUTES · PI Adam R. Abate, Iain Clark · 2023 to 2026
$6.3M
Control of extracellular matrix remodeling by CD29+ astrocytesR01MH130458 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI Michael Alex Wheeler · 2022 to 2026
$2.1M
A Psilocybin-Sensitive Neuroimmune Circuit Controlling Stress BehaviorsR01DA061199 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI Michael Alex Wheeler · 2024 to 2026
$1.7M
Control of ETV1 transcriptional networks in amygdalar astrocytesR01MH132632 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI Michael Alex Wheeler · 2024 to 2026
$1.3M
Molecular Control of Astrocytes in CNS InflammationR00NS114111 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI WHEELER, MICHAEL ALEX · 2023 to 2025
$783k
Single Cell Transcriptomic and Epigenetic Analysis of CD4 T Cells Harboring Latent HIV during Antiretroviral TherapyK22AI152644 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CLARK, IAIN · 2021 to 2022
$264k
NIAID NIH HHS K22 AI152644NIAID NIH HHS U54 AI170856NIDA NIH HHS R01 DA059551NIDA NIH HHS R01 DA061199NIMH NIH HHS R01 MH130458NIMH NIH HHS R01 MH132632NINDS NIH HHS R00 NS114111U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01DA059551-01U.S. Department of Health & Human Services | National Institutes of Health (NIH) K22AI152644
6 · The paper itself

Abstract

Rare cells have an important role in development and disease, and methods for isolating and studying cell subsets are therefore an essential part of biology research. Such methods traditionally rely on labeled antibodies targeted to cell surface proteins, but large public databases and sophisticated computational approaches increasingly define cell subsets on the basis of genomic, epigenomic and transcriptomic sequencing data. Methods for isolating cells on the basis of nucleic acid sequences powerfully complement these approaches by providing experimental access to cell subsets discovered in cell atlases, as well as those that cannot be otherwise isolated, including cells infected with pathogens, with specific DNA mutations or with unique transcriptional or splicing signatures. We recently developed a nucleic acid cytometry platform called 'focused interrogation of cells by nucleic acid detection and sequencing' (FIND-seq), capable of isolating rare cells on the basis of RNA or DNA markers, followed by bulk or single-cell transcriptomic analysis. This platform has previously been used to characterize the splicing-dependent activation of the transcription factor XBP1 in astrocytes and HIV persistence in memory CD4 T cells from people on long-term antiretroviral therapy. Here, we outline the molecular and microfluidic steps involved in performing FIND-seq, including protocol updates that allow detection and whole transcriptome sequencing of rare HIV-infected cells that harbor genetically intact virus genomes. FIND-seq requires knowledge of microfluidics, optics and molecular biology. We expect that FIND-seq, and this comprehensive protocol, will enable mechanistic studies of rare HIV

Indexed as

Single-Cell AnalysisFlow CytometryGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansTranscriptome

Identifiers

PMID39039320
PMCPMC11537836

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.