Evidence map›Paper›PMID 36207581›Full record

ArticleCommunications biology2022

Delineating cooperative effects of Notch and biomechanical signals on patterned liver differentiation.

Ishita Jain, Ian C Berg, Ayusha Acharya, Maddie Blaauw, Nicholas Gosstola, Pablo Perez-Pinera, Gregory H Underhill

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 11 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

7 authors at 1 institution in 1 country.

Ishita JainDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.
Ian C BergDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.
Ayusha AcharyaDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.
Maddie BlaauwDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.
Nicholas GosstolaDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.ORCID 0000-0001-6558-0307
Pablo Perez-PineraDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA.
Gregory H UnderhillDepartment of Bioengineering, University of Illinois at Urbana Champaign, Urbana, USA. gunderhi@illinois.edu.ORCID 0000-0003-1002-5335
University of Illinois Urbana-Champaign · US

Funding

MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
Microenvironmental Control of Liver Progenitor Cell Differentiation and Spatial PatterningR01DK125471 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI UNDERHILL, GREGORY H · 2021 to 2024
$1.9M
NHLBI NIH HHS T32 HL007457NIDDK NIH HHS R01 DK125471
6 · The paper itself

Abstract

Controlled in vitro multicellular culture systems with defined biophysical microenvironment have been used to elucidate the role of Notch signaling in the spatiotemporal regulation of stem and progenitor cell differentiation. In addition, computational models incorporating features of Notch ligand-receptor interactions have provided important insights into Notch pathway signaling dynamics. However, the mechanistic relationship between Notch-mediated intercellular signaling and cooperative microenvironmental cues is less clear. Here, liver progenitor cell differentiation patterning was used as a model to systematically evaluate the complex interplay of cellular mechanics and Notch signaling along with identifying combinatorial mechanisms guiding progenitor fate. We present an integrated approach that pairs a computational intercellular signaling model with defined microscale culture configurations provided within a cell microarray platform. Specifically, the cell microarray-based experiments were used to validate and optimize parameters of the intercellular Notch signaling model. This model incorporated the experimentally established multicellular dimensions of the cellular microarray domains, mechanical stress-related activation parameters, and distinct Notch receptor-ligand interactions based on the roles of the Notch ligands Jagged-1 and Delta-like-1. Overall, these studies demonstrate the spatial control of mechanotransduction-associated components, key growth factor and Notch signaling interactions, and point towards a possible role of E-Cadherin in translating intercellular mechanical gradients to downstream Notch signaling.

Indexed as

Mechanotransduction, CellularReceptors, NotchCadherinsCell DifferentiationIntercellular Signaling Peptides and ProteinsJagged-1 ProteinLigandsLiverCadherinsIntercellular Signaling Peptides and ProteinsJagged-1 ProteinLigandsReceptors, Notch

Identifiers

PMID36207581
PMCPMC9546876
OpenAlexW4303446591

What OpenQuestion holds

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LicenceCC BY
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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.