Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CyTOF data were first debarcoded with Single Cell Debarcoder using post-assignment stringency filtering and outlier trimming.
“CyTOF data was first debarcoded using Single Cell Debarcoder (Zunder et al., 2015) using post-assignment debarcode stringency filter and outlier trimming.”
From Protein Barcodes Enable High-Dimensional Single-Cell CRISPR Screens (2018) · cites this paper as Zunder et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 14 · Cited by 596
- Authors
- Zunder, E. R., Finck, R., Behbehani, G. K., Amir, E.-A. D., Krishnaswamy, S., Gonzalez, V. D., Lorang, C. G., Bjornson, Z., Spitzer, M. H., Bodenmiller, B., Fantl, W. J., Pe'er, D., & Nolan, G. P.
- Affiliations
- Stanford Medicine (US)
- Columbia University (US)
- Corresponding author
- Nolan, Garry P
- ORCID
- Venue
- Nature Protocols
- Published
- 2015-01-22
- Volume
- 10
- Issue
- 2
- Pages
- 316-333
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- PMC
- PMC4347881
- OpenAlex
- W1970170720
- Cited by
- 596
- References
- 14
- Citations by year
- 2026: 39 · 2025: 58 · 2024: 68 · 2023: 65 · 2022: 61 · 2021: 66 · 2020: 70 · 2019: 56 · 2018: 43 · 2017: 42 · 2016: 17 · 2015: 11
- FWCI
- 16.36
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Protocols (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (N01-HV 00242, HHSN268201000034C)
- National Cancer Institute (R33CA183654, U54CA149145, R01CA184968)
- National Institute of General Medical Sciences (T32GM007276)
- National Institute of Allergy and Infectious Diseases (U19AI100627, 5R01AI07372405, R01AI073724, U19AI057229, T32AI007328)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- mass cytometry
- MeSH terms
- Algorithms, Flow Cytometry, Palladium, Software, Staining and Labeling, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review