Evidence map›Paper›PMID 32582837›Full record

ArticleACS biomaterials science & engineering2016

Self-Assembling Peptide Nanofiber Scaffolds for 3-D Reprogramming and Transplantation of Human Pluripotent Stem Cell-Derived Neurons.

Nicola L Francis, Neal K Bennett, Apoorva Halikere, Zhiping P Pang, Prabhas V Moghe

Open access · greenAbstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 62 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Nicola L FrancisDepartment of Biomedical Engineering, Rutgers University, 599 Taylor Road, Piscataway, New Jersey 08854, United States.
Neal K BennettDepartment of Biomedical Engineering, Rutgers University, 599 Taylor Road, Piscataway, New Jersey 08854, United States.
Apoorva HalikereDepartment of Neuroscience and Cell Biology, Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, 89 French Street, New Brunswick, New Jersey 08901, United States.
Zhiping P PangDepartment of Neuroscience and Cell Biology, Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, 89 French Street, New Brunswick, New Jersey 08901, United States.
Prabhas V MogheDepartment of Biomedical Engineering, Rutgers University, 599 Taylor Road, Piscataway, New Jersey 08854, United States.
Rutgers, The State University of New Jersey · US

Funding

RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
Translational Research in Regenerative MedicineT32EB005583 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM, PAREKKADAN, BIJU · 2006 to 2022
$4.7M
Nanofibrous Scaffolds for Transplantation of Human Dopaminergic NeuronsR21NS095082 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI MOGHE, PRABHAS V, PANG, ZHIPING P. · 2015 to 2016
$424k
NIBIB NIH HHS P41 EB001046NIBIB NIH HHS T32 EB005583NINDS NIH HHS R21 NS095082
6 · The paper itself

Abstract

While cell transplantation presents a potential strategy to treat the functional deficits of neurodegenerative diseases or central nervous system injuries, the poor survival rate of grafted cells

Indexed as

brain transplantationhuman induced pluripotent stem cellnanofiberneural tissue engineeringneuronal reprogrammingself-assembling peptide

Identifiers

PMID32582837
PMCPMC7314380
OpenAlexW2346545886

What OpenQuestion holds

Textmetadata
LicenceTDM
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.