Evidence map›Paper›PMID 41395530›Full record

ArticleSmall science2025

Integrative Biosensing Nanoplasmonic Array for Real-Time Spatiotemporal Imaging of Protein Secretion in Cell-to-Cell Communication.

Younggeun Park, Partha Ray, Katsuo Kurabayashi

Abstract read
In one paragraph

Article in Small science, 2025. 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. Review
  2. 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

3 authors.

Younggeun ParkDepartment of Mechanical Engineering University of Michigan Ann Arbor Michigan 48109 USA.ORCID https://orcid.org/0000-0002-8346-6142
Partha RayDepartment of Medicine Division of Infectious Diseases and Global Public Health University of California San Diego California 92093 USA.
Katsuo KurabayashiDepartment of Mechanical and Aerospace Engineering New York University Brooklyn New York 11201 USA.ORCID https://orcid.org/0000-0002-9613-3590

Funding

Nanoplasmonic Spatiotemporal Imaging of Single-Cell Protein Secretion and Intercellular CommunicationR21GM151528 · NIGMS · NEW YORK UNIVERSITY · PI KURABAYASHI, KATSUO · 2023 to 2024
$448k
NIGMS NIH HHS R21 GM151528
6 · The paper itself

Abstract

Protein secretion plays a crucial role in cell-to-cell communication, tissue homeostasis, and disease progression. Mapping secretomes from paired cells provides valuable insights into their interactions; however, existing approaches yield only semi-quantitative, endpoint data, lacking real-time and quantitative resolution. Herein, real-time spatiotemporal imaging of extracellular secretions from individual cells using a high-throughput integrative biosensing nanoplasmonic array (iBNA) within microfluidics is presented. The self-assembled iBNA, composed of precisely arranged gold nanostructures functionalized with aptamer receptors, enhances plasmonic resonance and significantly improves the spatiotemporal resolution and specificity of interleukin-6 (IL-6) imaging, surpassing conventional techniques. The iBNA's molecular recognition mechanism exploits biomolecular surface binding-induced localized plasmonic resonance shifts, correlating with cytokine concentration and enabling optoelectronic detection of transmitted light. Using iBNA, spatiotemporal resolution images of polarized cytokine-mediated cell-to-cell communication between Jurkat T cells and CD4+ T cells, which are essential to immune responses, are achieved. This transformative platform provides unprecedented insights into the spatiotemporal dynamics of protein secretion, offering significant potential for immunological research, cellular biology, and diagnostic applications in infectious diseases.

Indexed as

cellular communicationcytokinesnanoplasmonic structuresprotein secretionsspatiotemporal imaging

Identifiers

PMID41395530
PMCPMC12697793

What OpenQuestion holds

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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.