Evidence map›Paper›PMID 34211963›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Modeling Liver Organogenesis by Recreating Three-Dimensional Collective Cell Migration: A Role for TGFβ Pathway.

Ogechi Ogoke, Osama Yousef, Cortney Ott, Allison Kalinousky, Wayne Lin, Claire Shamul, Shatoni Ross, Natesh Parashurama

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Ogechi OgokeDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Osama YousefDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Cortney OttDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Allison KalinouskyDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Wayne LinDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Claire ShamulDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Shatoni RossDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
Natesh ParashuramaDepartment of Chemical and Biological Engineering, University at Buffalo (State University of New York), Buffalo, NY, United States.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) collective cell migration (CCM) is critical for improving liver cell therapies, eliciting mechanisms of liver disease, and modeling human liver development and organogenesis. Mechanisms of CCM differ in 2D vs. 3D systems, and existing models are limited to 2D or transwell-based systems, suggesting there is a need for improved 3D models of CCM. To recreate liver 3D CCM, we engineered

Indexed as

cancer metastasiscell migrationhepatic cordshepatocyte migrationliver cancerliver developmentliver regenerative medicine

Identifiers

PMID34211963
PMCPMC8239196
OpenAlexW3170098201

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.