Evidence map›Paper›PMID 37696131›Full record

ReviewCurrent opinion in cell biology2023

Spatial patterning of energy metabolism during tissue morphogenesis.

Bezia Lemma, Celeste M Nelson

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in cell biology, 2023. 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
0.5field-weighted citation impact, top 38% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

2 authors at 1 institution in 1 country.

Bezia LemmaDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.
Celeste M NelsonDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA. Electronic address: celesten@princeton.edu.
Princeton University · US

Funding

Mechanical Clocks During Fetal DevelopmentDP1HD111539 · NICHD · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2022 to 2025
$5.7M
Interplay between mechanical forces and retinoic acid in lung developmentR01HL164861 · NHLBI · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2022 to 2025
$2.2M
Mechanical Forces and the Regulation of Airway Progenitor CellsR01HD099030 · NICHD · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2019 to 2023
$1.7M
NHLBI NIH HHS R01 HL164861NICHD NIH HHS DP1 HD111539NICHD NIH HHS R01 HD099030
6 · The paper itself

Abstract

Biophysical signaling organizes forces to drive tissue morphogenesis, a process co-opted during disease progression. The systematic buildup of forces at the tissue scale is energetically demanding. Just as mechanical forces, gene expression, and concentrations of morphogens vary spatially across a developing tissue, there might similarly be spatial variations in energy consumption. Recent studies have started to uncover the connections between spatial patterns of mechanical forces and spatial patterns of energy metabolism. Here, we define and review the concept of energy metabolism during tissue morphogenesis. We highlight experiments showing spatial variations in energy metabolism across several model systems, categorized by morphogenetic motif, including convergent extension, branching, and migration. Finally, we discuss approaches to further enable quantitative measurements of energy production and consumption during morphogenesis.

Indexed as

Energy MetabolismSignal TransductionMorphogenesis

Identifiers

PMID37696131
PMCPMC10840784
OpenAlexW4386565573

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.