Evidence map›Paper›PMID 29946596›Full record

ArticleNanoscale2018

Single-cell membrane drug delivery using porous pen nanodeposition.

Yongliang Yang, Jing Yu, Amir Monemian Esfahani, Kristina Seiffert-Sinha, Ning Xi, Ilsoon Lee, Animesh A Sinha, Liangliang Chen, Zhiyong Sun, Ruiguo Yang and 1 more

Abstract read
In one paragraph

Article in Nanoscale, 2018. 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. From Biophysics to Biomedical Physics.ACS bio & med chem Au · 2025
    Review
  2. Article
  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

11 authors.

Yongliang YangDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA. ldong@egr.msu.edu ylyang@msu.edu.
Jing Yu
Amir Monemian Esfahani
Kristina Seiffert-Sinha
Ning Xi
Ilsoon Lee
Animesh A Sinha
Liangliang Chen
Zhiyong Sun
Ruiguo Yang
Lixin Dong

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI RAZAVI RIZI, MOHAMMAD · 2016 to 2025
$20.8M
NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

Delivering molecules onto the plasma membrane of single cells is still a challenging task in profiling cell signaling pathways with single cell resolution. We demonstrated that a large quantity of molecules could be targeted and released onto the membrane of individual cells to trigger signaling responses. This is achieved by a porous pen nanodeposition (PPN) method, in which a multilayer porous structure, serving as a reservoir for a large amount of molecules, is formed on an atomic force microscope (AFM) tip using layer-by-layer assembly and post processing. To demonstrate its capability for single cell membrane drug delivery, PPN was employed to induce a calcium flux triggered by the binding of released antibodies to membrane antigens in an autoimmune skin disease model. This calcium signal propagates from the target cell to its neighbors in a matter of seconds, proving the theory of intercellular communication through cell-cell junctions. Collectively, these results demonstrated the effectiveness of PPN in membrane drug delivery for single cells; to the best of our knowledge, this is the first technique that can perform the targeted transport and delivery in single cell resolution, paving the way for probing complex signaling interactions in multicellular settings.

Indexed as

Drug Delivery SystemsSignal TransductionCell LineCell MembraneHumansKeratinocytesMicroscopy, Atomic ForceMicroscopy, FluorescencePorosity

Identifiers

PMID29946596
PMCPMC6528655

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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.