Evidence map›Paper›PMID 30700820›Full record

ArticleScientific reports2019

Identification of Key Signaling Pathways Orchestrating Substrate Topography Directed Osteogenic Differentiation Through High-Throughput siRNA Screening.

Tugba Ozdemir, Daniel T Bowers, Xiang Zhan, Debashis Ghosh, Justin L Brown

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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. Trial
  2. Review
  3. Article
  4. Article
  5. Driving Cells with Light-Controlled Topographies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    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

5 authors.

Tugba OzdemirDepartment of Genetics and Bioengineering, Tokat Gaziosmanpasa University, Tokat, Turkey.
Daniel T BowersDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA.
Xiang ZhanDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Debashis GhoshDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.
Justin L BrownDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA. jlbbio@engr.psu.edu.ORCID 0000-0001-9401-6094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrous scaffolds are used for bone tissue engineering purposes with great success across a variety of polymers with different physical and chemical properties. It is now evident that the correct degree of curvature promotes increased cytoskeletal tension on osteoprogenitors leading to osteogenic differentiation. However, the mechanotransductive pathways involved in this phenomenon are not fully understood. To achieve a reproducible and specific cellular response, an increased mechanistic understanding of the molecular mechanisms driving the fibrous scaffold mediated bone regeneration must be understood. High throughput siRNA mediated screening technology has been utilized for dissecting molecular targets that are important in certain cellular phenotypes. In this study, we used siRNA mediated gene silencing to understand the osteogenic differentiation observed on fibrous scaffolds. A high-throughput siRNA screen was conducted using a library collection of 863 genes including important human kinase and phosphatase targets on pre-osteoblast SaOS-2 cells. The cells were grown on electrospun poly(methyl methacrylate) (PMMA) scaffolds with a diameter of 0.938 ± 0.304 µm and a flat surface control. The osteogenic transcription factor RUNX2 was quantified with an in-cell western (ICW) assay for the primary screen and significant targets were selected via two sample t-test. After selecting the significant targets, a secondary screen was performed to identify osteoinductive markers that also effect cell shape on fibrous topography. Finally, we report the most physiologically relevant molecular signaling mechanisms that are involved in growth factor free, fibrous topography mediated osteoinduction. We identified GTPases, membrane channel proteins, and microtubule associated targets that promote an osteoinductive cell shape on fibrous scaffolds.

Indexed as

Bone RegenerationCell DifferentiationOsteogenesisBiomarkersCell Line, TumorCore Binding Factor Alpha 1 SubunitHigh-Throughput Nucleotide SequencingHumansPolymethyl MethacrylateRNA, Small InterferingTissue ScaffoldsBiomarkersCore Binding Factor Alpha 1 SubunitPolymethyl MethacrylateRNA, Small InterferingRUNX2 protein, human

Identifiers

PMID30700820
PMCPMC6353928

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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.