Evidence map›Paper›PMID 39629556›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).

Marieke Meteling, Castro Johnbosco, Alexis Wolfel, Francisco Conceição, Kannan Govindaraj, Liliana Moreira Teixeira, Jeroen Leijten

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors.

Marieke MetelingLeijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0009-0006-3562-7921
Castro JohnboscoLeijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0003-3617-4603
Alexis WolfelLeijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0002-4577-1699
Francisco ConceiçãoDepartment of Advanced Organ bioengineering and Therapeutics, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0003-4587-2470
Kannan GovindarajLeijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0001-9030-8735
Liliana Moreira TeixeiraDepartment of Advanced Organ bioengineering and Therapeutics, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0001-5039-8369
Jeroen LeijtenLeijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.ORCID https://orcid.org/0000-0002-8063-207X

Funding

European Research Council 759425Nederlandse Organisatie voor Wetenschappelijk Onderzoek 17522
6 · The paper itself

Abstract

Extracellular matrix (ECM) guides cell behavior and tissue fate. Cell populations are notoriously heterogeneous leading to large variations in cell behavior at the single-cell level. Although insights into population heterogeneity are valuable for fundamental biology, regenerative medicine, and drug testing, current ECM analysis techniques only provide either averaged population-level data or single-cell data from a limited number of cells. Here, extracellular protein identification cytometry (EPIC) is presented as a novel platform technology that enables high-throughput measurements of local nascent protein deposition at single-cell level. Specifically, human primary chondrocytes are microfluidically encapsulated in enzymatically crosslinked microgels of 16 picoliter at kHz rates, forming large libraries of discrete 3D single-cell microniches in which ECM can be deposited. ECM proteins are labeled using fluorescence immunostaining to allow for nondestructive analysis via flow cytometry. This approach reveals population heterogeneity in matrix deposition at unprecedented throughput, allowing for the identification and fluorescent activated cell sorting-mediated isolation of cellular subpopulations. Additionally, it is demonstrated that inclusion of a second cell into microgels allows for studying the effect of cell-cell contact on matrix deposition. In summary, EPIC enables high-throughput single-cell analysis of nascent proteins in 3D microenvironments, which is anticipated to advance fundamental knowledge and tissue engineering applications.

Indexed as

Cellular MicroenvironmentExtracellular Matrix ProteinsFlow CytometryHigh-Throughput Screening AssaysSingle-Cell AnalysisChondrocytesExtracellular MatrixHumansMicrogelsExtracellular Matrix ProteinsMicrogelscell–cell communicationengineered micronicheextracellular matrixhigh‐throughput analysismicrofluidicsmicromaterialssingle‐cell analysis

Identifiers

PMID39629556
PMCPMC11817916

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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.