Evidence map›Paper›PMID 31582990›Full record

ArticleStem cells international2019

Designing Microfluidic Devices to Sort Haematopoietic Stem Cells Based on Their Mechanical Properties.

Mingming Du, Dean Kavanagh, Zhibing Zhang, Neena Kalia

Open access · goldAbstract read
In one paragraph

Article in Stem cells international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Advances in microfluidic chip technology for cell analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  2. Review
  3. 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 1 institution in 1 country.

Mingming DuSchool of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Dean KavanaghInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Zhibing ZhangSchool of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0003-2797-9098
Neena KaliaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0003-2960-7829
University of Birmingham · GB

Funding

British Heart Foundation PG/11/114/29282
6 · The paper itself

Abstract

aimFew haematopoietic stem cells (HSCs) injected systemically for therapeutic purposes actually reach sites of injury as the vast majority become entrapped within pulmonary capillaries. One promising approach to maintain circulating HSC numbers would be to separate subpopulations with smaller size and/or greater deformability from a heterogeneous population. This study tested whether this could be achieved using label-free microfluidic devices.

methods2 straight (A-B) and 3 spiral (C-E) devices were fabricated with different dimensions. Cell sorting was performed at different flow rates after which cell diameter and stiffness were determined using micromanipulation. Cells isolated using the most efficient device were tested intravitally for their ability to home to the mouse injured gut.

resultsOnly straight Device B at a high flow rate separated HSCs with different mechanical properties. Side outlets collected mostly deformable cells (nominal rupture stress/

conclusionThis study applied microfluidics to separate subpopulations from one stem cell type based on their intrinsic mechanical heterogeneity. Fluid dynamics within curved devices most effectively separated HSCs. Such devices may benefit cellular therapy.

Identifiers

PMID31582990
PMCPMC6748184
OpenAlexW2971756360

What OpenQuestion holds

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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.