Evidence map›Paper›PMID 25671157›Full record

ArticleBeilstein journal of nanotechnology2015

Functionalization of α-synuclein fibrils.

Simona Povilonienė, Vida Časaitė, Virginijus Bukauskas, Arūnas Šetkus, Juozas Staniulis, Rolandas Meškys

Abstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. PET imaging of alpha-synuclein: from radiotracer design through in vitro and in vivo translation.European journal of nuclear medicine and molecular imaging · 2026
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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

6 authors.

Simona PovilonienėDepartment of Molecular Microbiology and Biotechnology, Institute of Biochemistry, Vilnius University, Mokslininku 12, Vilnius LT-08662, Lithuania.
Vida ČasaitėDepartment of Molecular Microbiology and Biotechnology, Institute of Biochemistry, Vilnius University, Mokslininku 12, Vilnius LT-08662, Lithuania.
Virginijus BukauskasSemiconductor Physics Institute, Center for Physical Sciences and Technology, A. Gostauto 11, Vilnius LT-01108, Lithuania.
Arūnas ŠetkusSemiconductor Physics Institute, Center for Physical Sciences and Technology, A. Gostauto 11, Vilnius LT-01108, Lithuania.
Juozas StaniulisInstitute of Botany of Nature Research Center, Zaliuju Ezeru 49, LT-08406 Vilnius, Lithuania.
Rolandas MeškysDepartment of Molecular Microbiology and Biotechnology, Institute of Biochemistry, Vilnius University, Mokslininku 12, Vilnius LT-08662, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The propensity of peptides and proteins to form self-assembled structures has very promising applications in the development of novel nanomaterials. Under certain conditions, amyloid protein α-synuclein forms well-ordered structures - fibrils, which have proven to be valuable building blocks for bionanotechnological approaches. Herein we demonstrate the functionalization of fibrils formed by a mutant α-synuclein that contains an additional cysteine residue. The fibrils have been biotinylated via thiol groups and subsequently joined with neutravidin-conjugated gold nanoparticles. Atomic force microscopy and transmission electron microscopy confirmed the expected structure - nanoladders. The ability of fibrils (and of the additional components) to assemble into such complex structures offers new opportunities for fabricating novel hybrid materials or devices.

Indexed as

atomic force microscopygold nanoparticlesnanostructuresself-assemblyα-synuclein

Identifiers

PMID25671157
PMCPMC4311755

What OpenQuestion holds

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Registered trials

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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.