Evidence map›Paper›PMID 35479393›Full record

ReviewRSC advances2021

Droplet flow cytometry for single-cell analysis.

Ming Li, Hangrui Liu, Siyuan Zhuang, Keisuke Goda

Open access · goldAbstract readReview
In one paragraph

Review in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Optimized single-cell gates for yeast display screening.Protein engineering, design & selection : PEDS · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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 5 countries.

Ming LiSchool of Engineering, Macquarie University Sydney NSW 2109 Australia ming.li@mq.edu.au.ORCID https://orcid.org/0000-0001-7450-6205
Hangrui LiuDepartment of Physics and Astronomy, Macquarie University Sydney NSW 2109 Australia.ORCID https://orcid.org/0000-0001-5490-2438
Siyuan ZhuangSchool of Engineering, Macquarie University Sydney NSW 2109 Australia ming.li@mq.edu.au.ORCID https://orcid.org/0000-0002-4496-3568
Keisuke GodaDepartment of Chemistry, The University of Tokyo Tokyo 113-0033 Japan goda@chem.s.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0001-6302-6038
Macquarie University · AUDiscovery Centre · CAUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interrogation of single cells has revolutionised biology and medicine by providing crucial unparalleled insights into cell-to-cell heterogeneity. Flow cytometry (including fluorescence-activated cell sorting) is one of the most versatile and high-throughput approaches for single-cell analysis by detecting multiple fluorescence parameters of individual cells in aqueous suspension as they flow past through a focus of excitation lasers. However, this approach relies on the expression of cell surface and intracellular biomarkers, which inevitably lacks spatial and temporal phenotypes and activities of cells, such as secreted proteins, extracellular metabolite production, and proliferation. Droplet microfluidics has recently emerged as a powerful tool for the encapsulation and manipulation of thousands to millions of individual cells within pico-litre microdroplets. Integrating flow cytometry with microdroplet architectures surrounded by aqueous solutions (

Identifiers

PMID35479393
PMCPMC9034116
OpenAlexW3169353194

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.