Evidence map›Paper›PMID 39175207›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

iSECRETE: Integrating Microfluidics and DNA Proximity Amplification for Synchronous Single-Cell Activation and IFN-γ Secretion Profiling.

Ri Lu, Yan Shan Ang, Ka-Wai Cheung, Kai Yun Quek, Wei-Xiang Sin, Elizabeth Lee, Shir Lynn Lim, Lin-Yue Lanry Yung, Michael E Birnbaum, Jongyoon Han and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

12 authors.

Ri LuCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Yan Shan AngDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore.
Ka-Wai CheungCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Kai Yun QuekCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Wei-Xiang SinCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Elizabeth LeeCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Shir Lynn LimNational University Health System, National University Hospital, Singapore, 119228, Singapore.
Lin-Yue Lanry YungDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore.
Michael E BirnbaumCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.ORCID 0000-0002-2281-3518
Jongyoon HanCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.ORCID 0000-0001-7215-1439
Lih Feng CheowCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.
Kerwin Kwek ZemingCritical Analytics for Manufacturing of Personalised Medicine IRG, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore.ORCID 0000-0002-3088-3604

Funding

Critical Analytics for Manufacturing Personalized-MedicineNational Research Foundation Singapore NRF2020-ITS006-0013Singapore-MIT Alliance for Research and Technology
6 · The paper itself

Abstract

Cytokines, crucial in immune modulation, impact disease progression when their secretion is dysregulated. Existing methods for profiling cytokine secretion suffer from time-consuming and labor-intensive processes and often fail to capture the dynamic nature of immune responses. Here, iSECRETE, an integrated platform that enables synchronous cell activation, wash-free, and target-responsive protein detection for single-cell IFN-γ cytokine secretion analysis within 30 min at room temperature is presented. By incorporating a DNA proximity assay (DPA) into a multifunctional microfluidic system, one-pot homogenous cytokine signal amplification, with a limit of detection of ≈50 secreted molecules per cell is achieved. iSECRETE can robustly handle various sample types that are shown. Two distinct immune activation assay modalities are demonstrated on iSECRETE. Finally, the detection of single-cell IFN-γ secretion as an activation hallmark of chimeric antigen receptor T cells within 6 h of exposure to cancer targets is shown. iSECRETE represents the fastest single-cell sample-to-result cytokine secretion assay to date, providing a powerful tool for advancing the understanding of biological phenotypes, functions, and pathways under in vivo-like conditions.

Indexed as

Interferon-gammaMicrofluidicsSingle-Cell AnalysisCytokinesDNAHumansLymphocyte ActivationCytokinesDNAInterferon-gammaCAR T cellscytokinesdeterministic lateral displacementimmune profilingmicrofluidics

Identifiers

PMID39175207
PMCPMC11516109

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.