Evidence map›Paper›PMID 40631105›Full record

ArticlebioRxiv : the preprint server for biology2025

Deterministic Cell Pairing with Simultaneous Microfluidic Merging and Sorting of Droplets.

Kevin M Joslin, Sophia Dateshidze, Seung Won Shin, Adam R Abate, Iain C Clark

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kevin M JoslinDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0009-0004-5098-0024
Sophia DateshidzeDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0009-0004-4198-8657
Seung Won ShinDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.
Iain C ClarkDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0000-0001-9082-0253

Funding

Decoding the language of inflammation between central nervous system resident immune cellsDP2AI154435 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Iain Clark · 2021 to 2026
$2.4M
NIAID NIH HHS DP2 AI154435
6 · The paper itself

Abstract

Cell-cell interactions drive immune activation, tissue repair, and stem cell fate, yet there are few methods that can create large numbers of pre-defined cell pairs to study cell crosstalk. Droplet microfluidics allows high-throughput compartmentalization of multiple cells, but random loading results in <1% of droplets containing the desired cell combinations. Here, we present a microfluidic device capable of deterministically isolating specific cell pairs using droplet merging and sorting ('merge-sorting'). The system detects target combinations using fluorescence and triggers simultaneous electrocoalescence and dielectrophoretic sorting. Using fluorescent dye-loaded droplets, we achieved 98.6% purity of merged and sorted droplets. In experiments using cells stained with three distinct dyes, >90% of desired cell pairs were recovered-compared to fewer than 1% when using random Poisson loading. To demonstrate the utility of this platform for extended co-culture studies, we merged cells in an alginate solution with calcium chloride droplets, producing monodisperse alginate hydrogels in which 92% of the beads contained target cell pairs that maintained viability over 18 hours. Compared to selective merger, this approach physically isolates desired droplets, eliminating unmerged contaminants and enabling cleaner downstream workflows. The device allows off-chip pre-incubation of droplets before pairing, the merger of reagents for multi-step assays, and the isolation of desired droplet pairs - capabilities not jointly accessible with existing approaches. In summary, merge-sort is a flexible platform to enrich specific combinations of droplets, cells, or particles for high-throughput studies of cell crosstalk.

Identifiers

PMID40631105
PMCPMC12236795

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.