Evidence map›Paper›PMID 40177382›Full record

ReviewMaterials today. Bio2025

Soft lithography-based biomolecule patterning techniques and their applications in subcellular protein interaction analysis.

Tina Karimian, Peter Lanzerstorfer, Julian Weghuber

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. 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. Article
  3. Review
  4. Review
  5. Nanostructured Protein Surfaces Inspired by Spider Silk.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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.

Tina KarimianUniversity of Applied Sciences Upper Austria, Center of Excellence Food Technology and Nutrition, Stelzhamerstrasse 23, 4600, Wels, Austria.
Peter LanzerstorferUniversity of Applied Sciences Upper Austria, Center of Excellence Food Technology and Nutrition, Stelzhamerstrasse 23, 4600, Wels, Austria.
Julian WeghuberUniversity of Applied Sciences Upper Austria, Center of Excellence Food Technology and Nutrition, Stelzhamerstrasse 23, 4600, Wels, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft lithography-based contact printing techniques have evolved into versatile methods for creating micro- and nanoscale features of biomolecules on solid substrates. In this review we present the advances in soft lithography for biomolecule deposition and its applications in subcellular protein-protein interaction (PPI) analysis. We discuss various soft lithography techniques, including micro-contact printing (μCP), nano-contact printing (nCP), capillary nanostamping, and polymer-pen-lithography (PPL) and focus on their application in biomolecule patterning on diverse substrates. We then address related challenges and advancements, including substrate selection, surface activation methods, and stamp development. The specific advantages, limitations, and potential solutions for printing various inks and biomolecules are highlighted. Furthermore, recent advances in soft lithography-based biomolecule patterning for subcellular protein interaction analysis are emphasized, demonstrating the importance of these techniques for incorporating complex cellular events into PPI readout modalities and established protein deposition strategies. Finally, an overview of future technologies and enhanced applications is provided.

Indexed as

Protein patterningProtein-protein-interactionsSoft lithography contact printingSubcellular micropatterning

Identifiers

PMID40177382
PMCPMC11964549

What OpenQuestion holds

Textmetadata
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.