Evidence map›Paper›PMID 33707421›Full record

ArticleNature communications2021

Joint profiling of DNA and proteins in single cells to dissect genotype-phenotype associations in leukemia.

Benjamin Demaree, Cyrille L Delley, Harish N Vasudevan, Cheryl A C Peretz, David Ruff, Catherine C Smith, Adam R Abate

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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

61 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
  4. Unifying multimodal single-cell data with a mixture-of-expertsbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
    Article
  8. Review
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  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Review
  18. Article
  19. Review
  20. Review

1 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

7 authors at 2 institutions in 1 country.

Benjamin Demaree *Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-2278-6633
Cyrille L Delley *Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3599-5701
Harish N VasudevanDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Cheryl A C PeretzDivision of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
David RuffMission Bio, Inc., South San Francisco, CA, USA.
Catherine C SmithDivision of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA. adam@abatelab.org.ORCID 0000-0001-9614-4831
University of California, San Francisco · USMission Bio (United States) · US

Funding

Gigapixel digital PCR in Giant Unilamellar VesiclesR01EB019453 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., CHIU, CHARLES YEN · 2014 to 2022
$3.9M
Microfluidic immunoprofiling for biomarker discovery in rheumatoid arthritisDP2AR068129 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R. · 2014 to 2014
$2.4M
NIAMS NIH HHS DP2 AR068129NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

Studies of acute myeloid leukemia rely on DNA sequencing and immunophenotyping by flow cytometry as primary tools for disease characterization. However, leukemia tumor heterogeneity complicates integration of DNA variants and immunophenotypes from separate measurements. Here we introduce DAb-seq, a technology for simultaneous capture of DNA genotype and cell surface phenotype from single cells at high throughput, enabling direct profiling of proteogenomic states in tens of thousands of cells. To demonstrate the approach, we analyze the disease of three patients with leukemia over multiple treatment timepoints and disease recurrences. We observe complex genotype-phenotype dynamics that illustrate the subtlety of the disease process and the degree of incongruity between blast cell genotype and phenotype in different clinical scenarios. Our results highlight the importance of combined single-cell DNA and protein measurements to fully characterize the heterogeneity of leukemia.

Indexed as

Genetic Association StudiesBase SequenceCell Line, TumorDNAfms-Like Tyrosine Kinase 3Genotyping TechniquesHumansImmunophenotypingJurkat CellsLeukemia, Myeloid, AcuteSequence Analysis, DNASingle-Cell AnalysisDNAFLT3 protein, humanfms-Like Tyrosine Kinase 3

Identifiers

PMID33707421
PMCPMC7952600
OpenAlexW3134217762

What OpenQuestion holds

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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.