Evidence map›Paper›PMID 34784050›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Multicolor Flow Cytometry and High-Dimensional Data Analysis to Probe Complex Questions in Vaccinology.

Megan E Cole, Yanping Guo, Hannah M Cheeseman, Katrina M Pollock

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Megan E ColeThe Pirbright Institute, Surrey, UK.
Yanping GuoCancer Research UK Flow Cytometry Translational Technology Platform, Cancer Institute, UCL, London, UK.
Hannah M CheesemanDepartment of Infectious Disease, Imperial College London, London, UK.
Katrina M PollockDepartment of Infectious Disease, Imperial College London, London, UK. k.pollock@imperial.ac.uk.
Imperial College London · GBThe Pirbright Institute · GBUniversity College London · GB

Funding

Department of HealthMedical Research Council MR/W024977/1
6 · The paper itself

Abstract

Vaccines induce a highly complex immune reaction in secondary lymphoid organs to generate immunological memory against an antigen or antigens of interest. Measurement of post immunization immune responses generated by specialized lymphocyte subsets requires time-dependent sampling, usually of the blood. Several T and B cell subsets are involved in the reaction, including CD4 and CD8 T cells, T follicular helper cells (Tfh), and germinal center B cells alongside their circulating (c) counterparts; cTfh and antibody secreting cells. Multicolor flow cytometry of peripheral blood mononuclear cells (PBMC) coupled with high-dimensional analysis offers an opportunity to study these cells in detail. Here we demonstrate a method by which such data can be generated and analysed using software that renders multidimensional data on a two dimensional map to identify rare vaccine-induced T and B cell subsets.

Indexed as

Flow CytometryLeukocytes, MononuclearData AnalysisT-Lymphocytes, Helper-InducerVaccinologyFlow cytometryFlowJoTMFlowSOMHigh-dimensional data analysisimmunophenotypingT cellst-SNEVaccine

Identifiers

PMID34784050
OpenAlexW3214274331

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.