Evidence map›Paper›PMID 34062119›Full record

ArticleCell2021

Integrated analysis of multimodal single-cell data.

Yuhan Hao, Stephanie Hao, Erica Andersen-Nissen, William M Mauck, Shiwei Zheng, Andrew Butler, Maddie J Lee, Aaron J Wilk, Charlotte Darby, Michael Zager and 15 more

Registry-linked trialAbstract read
In one paragraph

Article in Cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07527247 (Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity), which is not on this map. Cited by 9,951 papers.

0numbers the graph read from it
0cells of the map it votes in
9,951citing 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.

NCT07527247 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity

TypeinterventionalSponsorSingapore General HospitalRan2025 to 2029Enrolled40ConditionsImmune System Responses and Trained Immunity After AS01 Administration, Healthy AdultArmsAS01 adjuvant (0.5 mL intramuscular), YF17D (Stamaril, Sanofi-Pasteur), Placebo (NaCl 09%, 0.5mL)
3 · Its place in the literature

Who cites it

9,951 citing papers in PubMed.

  1. Trial
  2. Article
  3. B-Cell Aware Analysis of Single-Cell Transcriptomics Data.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  4. Immunophenotyping by Single-Cell CITE-Seq.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. iScience · 2026
    Article
  19. Article
  20. Article

9,891 more citing papers are in PubMed but not listed here.

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

25 authors.

Yuhan HaoCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA; New York Genome Center, New York, NY 10013, USA.
Stephanie HaoTechnology Innovation Lab, New York Genome Center, New York, NY 10013, USA.
Erica Andersen-NissenVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Cape Town HVTN Immunology Lab, Hutchinson Cancer Research Institute of South Africa, Cape Town 8001, South Africa.
William M MauckCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Shiwei ZhengCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA; New York Genome Center, New York, NY 10013, USA.
Andrew ButlerCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA; New York Genome Center, New York, NY 10013, USA.
Maddie J LeeDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Aaron J WilkDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Charlotte DarbyCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Michael ZagerCenter for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Paul HoffmanCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Marlon StoeckiusTechnology Innovation Lab, New York Genome Center, New York, NY 10013, USA.
Efthymia PapalexiCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA; New York Genome Center, New York, NY 10013, USA.
Eleni P MimitouTechnology Innovation Lab, New York Genome Center, New York, NY 10013, USA.
Jaison JainCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Avi SrivastavaCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Tim StuartCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Lamar M FlemingVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Bertrand YeungBioLegend Inc., San Diego, CA 92121, USA.
Angela J RogersDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Juliana M McElrathVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Catherine A BlishDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94063, USA.
Raphael GottardoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Peter SmibertTechnology Innovation Lab, New York Genome Center, New York, NY 10013, USA. Electronic address: smibertp@gmail.com.
Rahul SatijaCenter for Genomics and Systems Biology, New York University, New York, NY 10003, USA; New York Genome Center, New York, NY 10013, USA. Electronic address: rsatija@nygenome.org.

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
HVTN Laboratory ProgramU01AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCELRATH, MARGARET JULIANA · 2006 to 2010
$82.6M
Systems Biology CoreU19AI128914 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI Margaret Juliana McElrath, KENNETH D STUART · 2017 to 2026
$29.5M
Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Comprehensive reference map construction, geolocation and data integration for HuBMAP HIVEOT2OD026673 · OD · NEW YORK GENOME CENTER · PI MARIONI, JOHN CARLO, SATIJA, RAHUL · 2018 to 2021
$2.9M
Learning the metadata of the cell with single cell genomicsDP2HG009623 · NHGRI · NEW YORK GENOME CENTER · PI SATIJA, RAHUL · 2016 to 2016
$2.8M
Immune signatures of protection induced by whole parasite malaria vaccinesU19AI089986 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI STUART, KENNETH D · 2010 to 2015
$2.3M
Massively Parallel Multi-Modal Single-Cell Phenotyping Using a Portable DeviceR21HG009748 · NHGRI · NEW YORK GENOME CENTER · PI SMIBERT, PETER · 2017 to 2019
$754k
NHGRI NIH HHS DP2 HG009623NHGRI NIH HHS R21 HG009748NHGRI NIH HHS RM1 HG011014NIAID NIH HHS U01 AI068618NIAID NIH HHS U19 AI089986NIAID NIH HHS U19 AI128914NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068618NIAID NIH HHS UM1 AI068635NIH HHS OT2 OD026673
6 · The paper itself

Abstract

The simultaneous measurement of multiple modalities represents an exciting frontier for single-cell genomics and necessitates computational methods that can define cellular states based on multimodal data. Here, we introduce "weighted-nearest neighbor" analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of 211,000 human peripheral blood mononuclear cells (PBMCs) with panels extending to 228 antibodies to construct a multimodal reference atlas of the circulating immune system. Multimodal analysis substantially improves our ability to resolve cell states, allowing us to identify and validate previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets and to interpret immune responses to vaccination and coronavirus disease 2019 (COVID-19). Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a unified and multimodal definition of cellular identity.

Indexed as

3T3 CellsAnimalsCell LineCOVID-19Gene Expression ProfilingHumansImmunityLeukocytes, MononuclearLymphocytesMiceSARS-CoV-2Sequence Analysis, RNASingle-Cell AnalysisTranscriptomeVaccinationCITE-seqCOVID-19immune systemmultimodal analysisreference mappingsingle cell genomicsT cell

Identifiers

PMID34062119
PMCPMC8238499

What OpenQuestion holds

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Registered trials

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.