Evidence map›Paper›PMID 30717128›Full record

ReviewMicromachines2019

Microfluidic Single-Cell Manipulation and Analysis: Methods and Applications.

Tao Luo, Lei Fan, Rong Zhu, Dong Sun

Abstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Sorting differentiated mammalian cells using deterministic lateral displacement microfluidic devices.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Article
  13. Article
  14. Review
  15. Review
  16. Nanoplasmonic Single-Tumoroid Microarray for Real-Time Secretion Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  17. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  18. Article
  19. Article
  20. Review

13 more citing papers are in PubMed but not listed here.

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.

Tao LuoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. taoluo4-c@my.cityu.edu.hk.ORCID 0000-0002-4861-3397
Lei FanDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. leifan-c@my.cityu.edu.hk.ORCID 0000-0002-4733-672X
Rong ZhuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China. zr_gloria@mail.tsinghua.edu.cn.
Dong SunDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. medsun@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a forest of a hundred thousand trees, no two leaves are alike. Similarly, no two cells in a genetically identical group are the same. This heterogeneity at the single-cell level has been recognized to be vital for the correct interpretation of diagnostic and therapeutic results of diseases, but has been masked for a long time by studying average responses from a population. To comprehensively understand cell heterogeneity, diverse manipulation and comprehensive analysis of cells at the single-cell level are demanded. However, using traditional biological tools, such as petri-dishes and well-plates, is technically challengeable for manipulating and analyzing single-cells with small size and low concentration of target biomolecules. With the development of microfluidics, which is a technology of manipulating and controlling fluids in the range of micro- to pico-liters in networks of channels with dimensions from tens to hundreds of microns, single-cell study has been blooming for almost two decades. Comparing to conventional petri-dish or well-plate experiments, microfluidic single-cell analysis offers advantages of higher throughput, smaller sample volume, automatic sample processing, and lower contamination risk, etc., which made microfluidics an ideal technology for conducting statically meaningful single-cell research. In this review, we will summarize the advances of microfluidics for single-cell manipulation and analysis from the aspects of methods and applications. First, various methods, such as hydrodynamic and electrical approaches, for microfluidic single-cell manipulation will be summarized. Second, single-cell analysis ranging from cellular to genetic level by using microfluidic technology is summarized. Last, we will also discuss the advantages and disadvantages of various microfluidic methods for single-cell manipulation, and then outlook the trend of microfluidic single-cell analysis.

Indexed as

microfluidicssingle-cell analysissingle-cell manipulation

Identifiers

PMID30717128
PMCPMC6412357

What OpenQuestion holds

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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.