Evidence map›Paper›PMID 36939758›Full record

ReviewPhenomics (Cham, Switzerland)2022

Mapping Cell Phenomics with Multiparametric Flow Cytometry Assays.

Yang Liu, Haichu Zhao, Boqiang Fu, Shan Jiang, Jing Wang, Ying Wan

Abstract readReview
In one paragraph

Review in Phenomics (Cham, Switzerland), 2022. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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

6 authors.

Yang Liu *Biomedical Analysis Center, Army Medical University, Chongqing, 400038 China.
Haichu Zhao *Institute for Advanced Study, Shenzhen University, Shenzhen, 518055 China.
Boqiang Fu *National Institute of Metrology, Beijing, 100029 China.
Shan JiangInstitute for Advanced Study, Shenzhen University, Shenzhen, 518055 China.
Jing WangNational Institute of Metrology, Beijing, 100029 China.ORCID 0000-0002-2810-0789
Ying WanBiomedical Analysis Center, Army Medical University, Chongqing, 400038 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenomics explores the complex interactions among genes, epigenetics, symbiotic microorganisms, diet, and environmental exposure based on the physical, chemical, and biological characteristics of individuals and groups. Increasingly efficient and comprehensive phenotyping techniques have been integrated into modern phenomics-related research. Multicolor flow cytometry technology provides more measurement parameters than conventional flow cytometry. Based on detailed descriptions of cell phenotypes, rare cell populations and cell subsets can be distinguished, new cell phenotypes can be discovered, and cell apoptosis characteristics can be detected, which will expand the potential of cell phenomics research. Based on the enhancements in multicolor flow cytometry hardware, software, reagents, and method design, the present review summarizes the recent advances and applications of multicolor flow cytometry in cell phenomics, illuminating the potential of applying phenomics in future studies.

Indexed as

Cell phenomicsFlow cytometry assayMultiparametric cytometry

Identifiers

PMID36939758
PMCPMC9590532

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.