Evidence map›Paper›PMID 29643075›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Widespread changes in transcriptome profile of human mesenchymal stem cells induced by two-dimensional nanosilicates.

James K Carrow, Lauren M Cross, Robert W Reese, Manish K Jaiswal, Carl A Gregory, Roland Kaunas, Irtisha Singh, Akhilesh K Gaharwar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Article
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  11. Genetic variation drives cancer cell adaptation to ECM stiffness.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Formulate Adaptive Biphasic Scaffold via Sequential Protein-Instructed Peptide Co-Assembly.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  14. Inorganic Biomaterials Shape the Transcriptome Profile to Induce Endochondral Differentiation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Materials today. Bio · 2024
    Review
  20. Article

16 more citing papers are in PubMed but not listed here.

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

8 authors.

James K CarrowDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843.
Lauren M CrossDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843.
Robert W ReeseDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843.
Manish K JaiswalDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843.
Carl A GregoryDepartment of Molecular and Cellular Medicine, Institute of Regenerative Medicine, Texas A&M Health Science Center, College Station, TX 77843.
Roland KaunasDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843.
Irtisha SinghComputational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065; is327@cornell.edu gaharwar@tamu.edu.
Akhilesh K GaharwarDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843; is327@cornell.edu gaharwar@tamu.edu.ORCID 0000-0002-0284-0201

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Two-dimensional Nanomaterials for Cartilage RegenerationR03EB023454 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI GAHARWAR, AKHILESH K. · 2017 to 2018
$139k
NCI NIH HHS P30 CA008748NIBIB NIH HHS R03 EB023454
6 · The paper itself

Abstract

Two-dimensional nanomaterials, an ultrathin class of materials such as graphene, nanoclays, transition metal dichalcogenides (TMDs), and transition metal oxides (TMOs), have emerged as a new generation of materials due to their unique properties relative to macroscale counterparts. However, little is known about the transcriptome dynamics following exposure to these nanomaterials. Here, we investigate the interactions of 2D nanosilicates, a layered clay, with human mesenchymal stem cells (hMSCs) at the whole-transcriptome level by high-throughput sequencing (RNA-seq). Analysis of cell-nanosilicate interactions by monitoring changes in transcriptome profile uncovered key biophysical and biochemical cellular pathways triggered by nanosilicates. A widespread alteration of genes was observed due to nanosilicate exposure as more than 4,000 genes were differentially expressed. The change in mRNA expression levels revealed clathrin-mediated endocytosis of nanosilicates. Nanosilicate attachment to the cell membrane and subsequent cellular internalization activated stress-responsive pathways such as mitogen-activated protein kinase (MAPK), which subsequently directed hMSC differentiation toward osteogenic and chondrogenic lineages. This study provides transcriptomic insight on the role of surface-mediated cellular signaling triggered by nanomaterials and enables development of nanomaterials-based therapeutics for regenerative medicine. This approach in understanding nanomaterial-cell interactions illustrates how change in transcriptomic profile can predict downstream effects following nanomaterial treatment.

Indexed as

Gene Expression ProfilingNanoparticlesClathrinEndocytosisGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMAP Kinase Signaling SystemMesenchymal Stem CellsSilicatesTranscriptomeClathrinSilicates2D nanomaterialshuman mesenchymal stem cellsnanosilicatesRNA-seqwhole-transcriptome sequencing

Identifiers

PMID29643075
PMCPMC5924886

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.