Evidence map›Paper›PMID 34811546›Full record

ArticleNature immunology2021

Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states.

Sergio Triana, Dominik Vonficht, Lea Jopp-Saile, Simon Raffel, Raphael Lutz, Daniel Leonce, Magdalena Antes, Pablo Hernández-Malmierca, Diana Ordoñez-Rueda, Beáta Ramasz and 12 more

Registry-linked trialAbstract readVideo-Audio Media
In one paragraph

Article in Nature immunology, 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 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

107 citing papers in PubMed.

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47 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

22 authors.

Sergio Triana *Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-0370-7821
Dominik Vonficht *Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.
Lea Jopp-Saile *Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.
Simon RaffelDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Raphael LutzHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.
Daniel LeonceGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Magdalena AntesHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6773-6109
Pablo Hernández-MalmiercaHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-4529-384X
Diana Ordoñez-RuedaFlow Cytometry Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8387-6707
Beáta RamaszFlow Cytometry Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Tobias BochDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Johann-Christoph JannDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.ORCID http://orcid.org/0000-0003-2200-0151
Daniel NowakDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Wolf-Karsten HofmannDepartment of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Carsten Müller-TidowDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7166-5232
Daniel HübschmannHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6041-7049
Theodore AlexandrovStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9464-6125
Vladimir BenesGenomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0352-2547
Andreas TrumppHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.
Malte PaulsenFlow Cytometry Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Lars VeltenCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain. lars.velten@crg.eu.ORCID http://orcid.org/0000-0002-1233-5874
Simon HaasHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany. simon.haas@bih-charite.de.ORCID http://orcid.org/0000-0001-9227-2051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell genomics technology has transformed our understanding of complex cellular systems. However, excessive cost and a lack of strategies for the purification of newly identified cell types impede their functional characterization and large-scale profiling. Here, we have generated high-content single-cell proteo-genomic reference maps of human blood and bone marrow that quantitatively link the expression of up to 197 surface markers to cellular identities and biological processes across all main hematopoietic cell types in healthy aging and leukemia. These reference maps enable the automatic design of cost-effective high-throughput cytometry schemes that outperform state-of-the-art approaches, accurately reflect complex topologies of cellular systems and permit the purification of precisely defined cell states. The systematic integration of cytometry and proteo-genomic data enables the functional capacities of precisely mapped cell states to be measured at the single-cell level. Our study serves as an accessible resource and paves the way for a data-driven era in cytometry.

Indexed as

Cell SeparationFlow CytometryGene Expression ProfilingProteomeProteomicsSingle-Cell AnalysisTranscriptomeAge FactorsBlood CellsBone Marrow CellsCells, CulturedDatabases, GeneticHealthy AgingHumansLeukemiaRNA-SeqProteome

Identifiers

PMID34811546
PMCPMC8642243

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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.