Evidence map›Paper›PMID 25612231›Full record

ArticleNature protocols2015

Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm.

Eli R Zunder, Rachel Finck, Gregory K Behbehani, El-Ad D Amir, Smita Krishnaswamy, Veronica D Gonzalez, Cynthia G Lorang, Zach Bjornson, Matthew H Spitzer, Bernd Bodenmiller and 3 more

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 380 papers.

0numbers the graph read from it
0cells of the map it votes in
380citing papers in PubMed
17.5field-weighted citation impact, top 1% 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

380 citing papers in PubMed, 616 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. CD9Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

320 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

13 authors at 3 institutions in 1 country.

Eli R ZunderBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Rachel FinckBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Gregory K Behbehani1] Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA. [2] Divisions of Hematology and Oncology, Stanford University School of Medicine, Stanford, California, USA.
El-Ad D AmirDepartment of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
Smita KrishnaswamyDepartment of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
Veronica D GonzalezBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Cynthia G LorangBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Zach BjornsonBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Matthew H SpitzerBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Bernd BodenmillerBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Wendy J FantlBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Dana Pe'erDepartment of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
Garry P NolanBaxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Baxter (United States) · USColumbia University · USStanford University · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ULEVITCH, RICHARD J · 2012 to 2021
$49.1M
Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
MODELING THE ROLE OF PROGRESSION IN FOLLICULAR LYMPHOMAU54CA149145 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2010 to 2014
$12.1M
MOLECULAR BASIS OF HOST-PARASITE INTERACTIONT32AI007328 · NIAID · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 1987 to 2026
$11.9M
(PQD2)New Biomarkers and Pathways to Enhance Cure in Ovarian CancersR01CA184968 · NCI · STANFORD UNIVERSITY · PI FANTL, WENDY JANE, SIKIC, BRANIMIR I · 2014 to 2017
$2.0M
MicroRNAs as T cell sensitivity RheostatsR01AI073724 · NIAID · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2009 to 2013
$2.0M
Highly multiplexed ion-beam tissue molecular imaging with sub-micron resolutionR33CA183654 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2014 to 2016
$1.2M
NCI NIH HHS 1 R33CA183654NCI NIH HHS R01 CA184968NCI NIH HHS R01CA184968NCI NIH HHS R33 CA183654NCI NIH HHS U54 CA149145NCI NIH HHS U54CA149145NHLBI NIH HHS HHSN268201000034CNHLBI NIH HHS N01-HV-00242NIAID NIH HHS 1U19AI100627NIAID NIH HHS 5R01AI07372405NIAID NIH HHS R01 AI073724NIAID NIH HHS T32 AI007328NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI100627NIGMS NIH HHS T32 GM007276
6 · The paper itself

Abstract

Mass-tag cell barcoding (MCB) labels individual cell samples with unique combinatorial barcodes, after which they are pooled for processing and measurement as a single multiplexed sample. The MCB method eliminates variability between samples in antibody staining and instrument sensitivity, reduces antibody consumption and shortens instrument measurement time. Here we present an optimized MCB protocol. The use of palladium-based labeling reagents expands the number of measurement channels available for mass cytometry and reduces interference with lanthanide-based antibody measurement. An error-detecting combinatorial barcoding scheme allows cell doublets to be identified and removed from the analysis. A debarcoding algorithm that is single cell-based rather than population-based improves the accuracy and efficiency of sample deconvolution. This debarcoding algorithm has been packaged into software that allows rapid and unbiased sample deconvolution. The MCB procedure takes 3-4 h, not including sample acquisition time of ∼1 h per million cells.

Indexed as

AlgorithmsPalladiumFlow CytometrySingle-Cell AnalysisSoftwareStaining and LabelingPalladium

Identifiers

PMID25612231
PMCPMC4347881
OpenAlexW1970170720

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.