Evidence map›Paper›PMID 23512433›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2013

Normalization of mass cytometry data with bead standards.

Rachel Finck, Erin F Simonds, Astraea Jager, Smita Krishnaswamy, Karen Sachs, Wendy Fantl, Dana Pe'er, Garry P Nolan, Sean C Bendall

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 482 papers.

0numbers the graph read from it
0cells of the map it votes in
482citing papers in PubMed
10.8field-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

482 citing papers in PubMed, 791 citations in OpenAlex.

  1. Trial
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  8. CD9Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  14. Critical illness expands a transcriptionally distinct hypometabolic CD8bioRxiv : the preprint server for biology · 2026
    Article
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  16. Article
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  18. Review
  19. Article
  20. Article

422 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Rachel FinckBaxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, California, USA.
Erin F Simonds
Astraea Jager
Smita Krishnaswamy
Karen Sachs
Wendy Fantl
Dana Pe'er
Garry P Nolan
Sean C Bendall
Stanford University · USColumbia 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
Stanford Nanocharacterization LaboratoryU54CA119367 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2006 to 2010
$19.8M
TRIGGERING CELL DEATH IN B CELL LYMPHOMAP01CA034233 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 1985 to 2010
$19.5M
MODELING THE ROLE OF PROGRESSION IN FOLLICULAR LYMPHOMAU54CA149145 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2010 to 2014
$12.1M
The Center for Systemic Control of Cyto-NetworksPN2EY018228 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HO, CHIH-MING · 2006 to 2010
$8.2M
Software & Hardware Inference Engines for Automated Determination of Primary CellR01CA130826 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2008 to 2011
$6.7M
ENVELOPE PROTEINS OF EPSTEIN-BARR VIRUSF32CA009009 · NCI · UNIVERSITY OF FLORIDA · PI DAVENPORT, LISA C · 1990 to 1991
–
MECHANISTIC STUDIES IN THE BIOSYNTHESIS OF ACETYLENESF32CA009011 · NCI · BROWN UNIVERSITY · PI CASEBIER, DAVID S · 1990 to 1992
–
NCI NIH HHS 1R01CA130826NCI NIH HHS P01 CA034233NCI NIH HHS P01 CA034233-22A1NCI NIH HHS R01 CA130826NCI NIH HHS RFA CA 09-009NCI NIH HHS RFA CA 09-011NCI NIH HHS U54 CA119367NCI NIH HHS U54 CA149145NEI NIH HHS PN2 EY018228NEI NIH HHS PN2EY018228NIAID NIH HHS HHSN272200700038CNIAID NIH HHS U19 AI057229PHS HHS 0158 G KB065
6 · The paper itself

Abstract

Mass cytometry uses atomic mass spectrometry combined with isotopically pure reporter elements to currently measure as many as 40 parameters per single cell. As with any quantitative technology, there is a fundamental need for quality assurance and normalization protocols. In the case of mass cytometry, the signal variation over time due to changes in instrument performance combined with intervals between scheduled maintenance must be accounted for and then normalized. Here, samples were mixed with polystyrene beads embedded with metal lanthanides, allowing monitoring of mass cytometry instrument performance over multiple days of data acquisition. The protocol described here includes simultaneous measurements of beads and cells on the mass cytometer, subsequent extraction of the bead-based signature, and the application of an algorithm enabling correction of both short- and long-term signal fluctuations. The variation in the intensity of the beads that remains after normalization may also be used to determine data quality. Application of the algorithm to a one-month longitudinal analysis of a human peripheral blood sample reduced the range of median signal fluctuation from 4.9-fold to 1.3-fold.

Indexed as

Lanthanoid Series ElementsMicrospheresPolystyrenesAlgorithmsFlow CytometryHumansLeukocytes, MononuclearMass SpectrometryMaterials TestingQuality ControlReference ValuesSoftwareLanthanoid Series ElementsPolystyrenes

Identifiers

PMID23512433
PMCPMC3688049
OpenAlexW2038426170

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.