Evidence map›Paper›PMID 38234902›Full record

ArticleHeliyon2024

Mesenchymal stem cells aligned and stretched in self-assembling peptide hydrogels.

Farzaneh Fouladgar, Forough Ghasem Zadeh Moslabeh, Yashesh Varun Kasani, Nick Rogozinski, Marc Torres, Melanie Ecker, Huaxiao Yang, Yong Yang, Neda Habibi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

Farzaneh FouladgarDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Forough Ghasem Zadeh MoslabehDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Yashesh Varun KasaniDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Nick RogozinskiDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Marc TorresDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Melanie EckerDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Huaxiao YangDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Yong YangDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
Neda HabibiDepartment of Biomedical Engineering, University of North Texas, Texas, United States.
University of North Texas · US

Funding

New approach based on enzyme stimulating of peptides for targeting drug resistance breast cancersR16GM150848 · NIGMS · UNIVERSITY OF NORTH TEXAS · PI HABIBI, NEDA · 2023 to 2025
$645k
NIGMS NIH HHS R16 GM150848
6 · The paper itself

Abstract

The presented research highlights a novel approach using fmoc-protected peptide hydrogels for the encapsulation and stretching of mesenchymal stem cells (MSCs). This study utilized a custom mechanical stretching device with a PDMS chamber to stretch human MSCs encapsulated in Fmoc hydrogels. The study assessed the influence of various solvents on the self-assembly and mechanical properties of the hydrogels, and MSC viability and alignment. Particularly we focused on fluorenylmethoxycarbonyl-diphenylalanine (Fmoc-FF) prepared in dimethyl sulfoxide (DMSO), hexafluoro-2-propanol (HFP), and deionized water (DiH

Indexed as

HydrogelsMesenchymal stem cellsPeptideSelf-assembly

Identifiers

PMID38234902
PMCPMC10792194
OpenAlexW4389942442

What OpenQuestion holds

Textmetadata
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.