Evidence map›Paper›PMID 35224313›Full record

ArticleCurrent opinion in systems biology2022

Compartmentalization of metabolism between cell types in multicellular organisms: a computational perspective.

Xuhang Li, L Safak Yilmaz, Albertha J M Walhout

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Xuhang LiDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA.
L Safak YilmazDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA.
Albertha J M WalhoutDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA.

Funding

Transcription networks in C elegans organogenesisR01DK068429 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI A. J. Marian Walhout · 2005 to 2026
$10.9M
Gene regulatory and metabolic network structure, function and evolutionR35GM122502 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI A. J. Marian Walhout · 2017 to 2026
$8.3M
Gene Regulatory Networks in Development and PhysiologyR56DK068429 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WALHOUT, A. J. MARIAN · 2018 to 2018
$671k
NIDDK NIH HHS R01 DK068429NIDDK NIH HHS R56 DK068429NIGMS NIH HHS R35 GM122502
6 · The paper itself

Abstract

In multicellular organisms, metabolism is compartmentalized at many levels, including tissues and organs, different cell types, and subcellular compartments. Compartmentalization creates a coordinated homeostatic system where each compartment contributes to the production of energy and biomolecules the organism needs to carrying out specific metabolic tasks. Experimentally studying metabolic compartmentalization and metabolic interactions between cells and tissues in multicellular organisms is challenging at a systems level. However, recent progress in computational modeling provides an alternative approach to this problem. Here we discuss how integrating metabolic network modeling with omics data offers an opportunity to reveal metabolic states at the level of organs, tissues and, ultimately, individual cells. We review the current status of genome-scale metabolic network models in multicellular organisms, methods to study metabolic compartmentalization

Identifiers

PMID35224313
PMCPMC8865431

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Registered trials

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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.