2019
DOI: 10.1002/cyto.a.23940
|View full text |Cite
|
Sign up to set email alerts
|

MiSet RFC Standards: Defining a Universal Minimum Set of Standards Required for Reproducibility and Rigor in Research Flow Cytometry Experiments

Abstract: Poor adherence to best practices, insufficient training, and pressure to produce data quickly may lead to publications of suboptimal biomedical research flow cytometry data, which contributes to the body of irreproducible research findings. In addition, documentation of compliance with best flow cytometry practices for submission, visualization, and publication of flow cytometry data is currently endorsed by very few scientific journals, which is particularly concerning as numerous peer-reviewed flow cytometry… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 58 publications
0
9
0
Order By: Relevance
“…As of today, 39 standards are listed in the MIBBI project (https://fairsharing.org/collection/MIBBI) and a few of them are concerning immunological experiments. Table 1 and [31,32,35–40] provide examples of immunology‐related Minimal Information standards.…”
Section: Introductionmentioning
confidence: 99%
“…As of today, 39 standards are listed in the MIBBI project (https://fairsharing.org/collection/MIBBI) and a few of them are concerning immunological experiments. Table 1 and [31,32,35–40] provide examples of immunology‐related Minimal Information standards.…”
Section: Introductionmentioning
confidence: 99%
“…Similar to MIAME [9] or MINSEQE (http://fged.org/projects/ minseqe/) standards for documentation of microarray and RNAseq data, respectively, MiFlowCyt [10] and MiSet RFC [11] provide documentation standards for cytometry data. The information required by these standards could be fulfilled via specific forms during data upload (e.g., FlowRepository) or in less formal ways through spreadsheets and other files attached to the accession containing the FCS files if not directly supported by a particular repository.…”
Section: Discussionmentioning
confidence: 99%
“…Acquisition of a complete set of FMO controls is laborious but will aid confident discrimination of positive and negative signals. We urge new flow cytometry users to study the current literature regarding advanced flow cytometry methodology guidelines ( Mair and Tyznik, 2019 ) and recommended guidelines for flow cytometry reporting in detail ( Lucas et al., 2020 ; Cossarizza et al., 2019 ), and advise that this is not a trivial methodology.…”
Section: Limitationsmentioning
confidence: 99%