Evidence map›Paper›PMID 38649796›Full record

ArticleAnalytical chemistry2024

Increasing Fluid Viscosity Ensures Consistent Single-Cell Encapsulation.

Emile Pranauskaite, Valdemaras Milkus, Justas Ritmejeris, Rapolas Zilionis, Linas Mazutis

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. An integrated microfluidic culture model for photodynamic therapy evaluations under normoxic and hypoxic conditions.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    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

5 authors.

Emile PranauskaiteInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius LT 10257, Lithuania.
Valdemaras MilkusInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius LT 10257, Lithuania.
Justas RitmejerisInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius LT 10257, Lithuania.
Rapolas ZilionisInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius LT 10257, Lithuania.
Linas MazutisInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius LT 10257, Lithuania.ORCID 0000-0002-5552-6427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput single-cell analysis typically relies on the isolation of cells of interest in separate compartments for subsequent phenotypic or genotypic characterization. Using microfluidics, this is achieved by isolating individual cells in microdroplets or microwells. However, due to cell-to-cell variability in size, shape, and density, the cell capture efficiencies may vary significantly. This variability can negatively impact the measurements and introduce undesirable artifacts when trying to isolate and characterize heterogeneous cell populations. In this study, we show that single-cell isolation biases in microfluidics can be circumvented by increasing the viscosity of fluids in which cells are dispersed. At a viscosity of 40-50 cP (cP), the cell sedimentation is effectively reduced, resulting in a steady cell flow inside the microfluidics chip and consistent encapsulation in water-in-oil droplets over extended periods of time. This approach allows nearly all cells in a sample to be isolated with the same efficiency, irrespective of their type. Our results show that increased fluid viscosity, rather than cell-adjusted density, provides a more reliable approach to mitigate single-cell isolation biases.

Indexed as

Single-Cell AnalysisCell SeparationHumansMicrofluidic Analytical TechniquesViscosity

Identifiers

PMID38649796
PMCPMC11079858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.