Evidence map›Paper›PMID 28661043›Full record

ArticleAdvanced healthcare materials2017

3D Near-Field Electrospinning of Biomaterial Microfibers with Potential for Blended Microfiber-Cell-Loaded Gel Composite Structures.

Pouria Fattahi, Jordan T Dover, Justin L Brown

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  10. Nanofiber curvature with Rho GTPase activity increases mouse embryonic fibroblast random migration velocity.Integrative biology : quantitative biosciences from nano to macro · 2021
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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

3 authors.

Pouria FattahiDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.
Jordan T DoverDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.
Justin L BrownDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.

Funding

Migratory Morphology: A Function of Fibrous Extracellular Matrix Geometry SensingR21EB019230 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI BROWN, JUSTIN L. · 2014 to 2015
$382k
Intracellular Curvature Sensing as a Regulator of Musculoskeletal DifferentiationR03AR065192 · NIAMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI BROWN, JUSTIN L. · 2014 to 2016
$213k
NIAMS NIH HHS R03 AR065192NIBIB NIH HHS R21 EB019230
6 · The paper itself

Abstract

This paper describes the development of a novel low-cost and efficient method, 3D near-field electrospinning, to fabricate high-resolution, and repeatable 3D polymeric fiber patterns on nonconductive materials with potential use in tissue engineering. This technology is based on readily available hobbyist grade 3D printers. The result is exquisite control of the deposition of single fibers in an automated manner. Additionally, the fabrication of various fiber patterns, which are subsequently translated to unique cellular patterns, is demonstrated. Finally, poly(methyl methacrylate) fibers are printed within 3D collagen gels loaded with cells to introduce anisotropic properties of polymeric fibers within the cell-loaded gels.

Indexed as

Printing, Three-DimensionalTissue ScaffoldsCollagenElectroplatingEquipment DesignEquipment Failure AnalysisGelsMaterials TestingNanofibersParticle SizePolymethyl MethacrylateTissue EngineeringCollagenGelsPolymethyl Methacrylate3D near-field electrospinning3D printingcell-loaded gelscomposite microfibers

Identifiers

PMID28661043
PMCPMC5638707

What OpenQuestion holds

Textmetadata
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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.