Evidence map›Paper›PMID 38526784›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Panel Design and Optimization for Full Spectrum Flow Cytometry.

Laura Ferrer-Font, Sam J Small, Evelyn Hyde, Katherine R Pilkington, Kylie M Price

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
13.4field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Laura Ferrer-FontHugh Green Cytometry Centre, Malaghan Institute of Medical Research, Wellington, New Zealand. Laura.Ferrer@bd.com.
Sam J SmallHugh Green Cytometry Centre, Malaghan Institute of Medical Research, Wellington, New Zealand.
Evelyn HydeMalaghan Institute of Medical Research, Wellington, New Zealand.
Katherine R PilkingtonCytek Biosciences, Fremont, CA, USA.
Kylie M PriceHugh Green Cytometry Centre, Malaghan Institute of Medical Research, Wellington, New Zealand.
Malaghan Institute of Medical Research · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advancements in fluorescence flow cytometry and an ever-expanding understanding of the complexity of the immune system have led to the development of large flow cytometry panels, reaching up to 40 markers at the single-cell level. Full spectrum flow cytometry, which measures the full emission range of all the fluorophores present in the panel instead of only the emission peaks, is now routinely used in laboratories around the world, and the demand for this technology is rapidly increasing. With the ability to use larger and more complex staining panels, optimized protocols are vital for achieving the best panel design, panel optimization, and high-dimensional data analysis outcomes. In addition, a better understanding of how to fully characterize the autofluorescence of the sample, coupled with an intelligent panel design approach, allows improved marker resolution on highly autofluorescent tissues or cells. Here, we provide optimized step-by-step protocols for full spectrum flow cytometry, covering panel design and optimization, autofluorescence evaluation and strategy selection, and methods for performing longitudinal studies.

Indexed as

Fluorescent DyesLaboratoriesFlow CytometryImmunophenotypingStaining and LabelingFluorescent DyesAssay optimizationAutofluorescenceFull spectrum flow cytometryHigh-dimensional flow cytometryImmunophenotypingLongitudinal studiesPanel design

Identifiers

PMID38526784
OpenAlexW4393151996

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.