Evidence map›Paper›PMID 28518070›Full record

ArticleJournal of visualized experiments : JoVE2017

Sample Preparation for Mass Cytometry Analysis.

Ryan L McCarthy, Aundrietta D Duncan, Michelle C Barton

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. CyTOFFrontiers in immunology · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Article
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

3 authors at 1 institution in 1 country.

Ryan L McCarthyEpigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center; RLMcCarthy@mdanderson.org.
Aundrietta D DuncanEpigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center.
Michelle C BartonEpigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
TRAINING PROGRAM IN MOLECULAR GENETICS OF CANCERT32CA009299 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LOZANO, GUILLERMINA · 1985 to 2014
$4.7M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA009299
6 · The paper itself

Abstract

Mass cytometry utilizes antibodies conjugated with heavy metal labels, an approach that has greatly increased the number of parameters and opportunities for deep analysis well beyond what is possible with conventional fluorescence-based flow cytometry. As with any new technology, there are critical steps that help ensure the reliable generation of high-quality data. Presented here is an optimized protocol that incorporates multiple techniques for the processing of cell samples for mass cytometry analysis. The methods described here will help the user avoid common pitfalls and achieve consistent results by minimizing variability, which can lead to inaccurate data. To inform experimental design, the rationale behind optional or alternative steps in the protocol and their efficacy in uncovering new findings in the biology of the system being investigated is covered. Lastly, representative data is presented to illustrate expected results from the techniques presented here.

Indexed as

AnimalsAntibodiesCell SeparationMetals, HeavyMiceSpecimen HandlingTumor Cells, CulturedAntibodiesMetals, Heavy

Identifiers

PMID28518070
PMCPMC5565122
OpenAlexW2609167987

What OpenQuestion holds

Textmetadata
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.