Evidence map›Paper›PMID 20571530›Full record

ArticleMolecular systems biology2010

Dissecting spatio-temporal protein networks driving human heart development and related disorders.

Kasper Lage, Kjeld Møllgård, Steven Greenway, Hiroko Wakimoto, Joshua M Gorham, Christopher T Workman, Eske Bendsen, Niclas T Hansen, Olga Rigina, Francisco S Roque and 11 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Cardiac Transcription Factors and Regulatory Networks.Advances in experimental medicine and biology · 2024
    Review
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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

21 authors.

Kasper LagePediatric Surgical Research Laboratories, MassGeneral Hospital for Children, Massachusetts General Hospital, Boston, MA 02114, USA. lage.kasper@mgh.harvard.edu
Kjeld Møllgård
Steven Greenway
Hiroko Wakimoto
Joshua M Gorham
Christopher T Workman
Eske Bendsen
Niclas T Hansen
Olga Rigina
Francisco S Roque
Cornelia Wiese
Vincent M Christoffels
Amy E Roberts
Leslie B Smoot
William T Pu
Patricia K Donahoe
Niels Tommerup
Søren Brunak
Christine E Seidman
Jonathan G Seidman
Lars A Larsen

Funding

Defining Pathways from Gene Mutation to Heart FailureR01HL080494 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CHEN, CHRISTOPHER S, SEIDMAN, CHRISTINE E · 2005 to 2024
$9.4M
Gene Mutation and Rescue in Human Diaphragmatic HerniaR01HD055150 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI DONAHOE, PATRICIA K · 2006 to 2010
$5.5M
Regulation of Heart Function by a Gata4-Fog2 transcriptional complexR01HL095712 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI PU, WILLIAM TSWENCHING · 2010 to 2013
$1.7M
NHLBI NIH HHS R01 HL080494NHLBI NIH HHS R01 HL095712NICHD NIH HHS R01 HD055150NICHD NIH HHS R01 HD055150-03
6 · The paper itself

Abstract

Aberrant organ development is associated with a wide spectrum of disorders, from schizophrenia to congenital heart disease, but systems-level insight into the underlying processes is very limited. Using heart morphogenesis as general model for dissecting the functional architecture of organ development, we combined detailed phenotype information from deleterious mutations in 255 genes with high-confidence experimental interactome data, and coupled the results to thorough experimental validation. Hereby, we made the first systematic analysis of spatio-temporal protein networks driving many stages of a developing organ identifying several novel signaling modules. Our results show that organ development relies on surprisingly few, extensively recycled, protein modules that integrate into complex higher-order networks. This design allows the formation of a complicated organ using simple building blocks, and suggests how mutations in the same genes can lead to diverse phenotypes. We observe a striking temporal correlation between organ complexity and the number of discrete functional modules coordinating morphogenesis. Our analysis elucidates the organization and composition of spatio-temporal protein networks that drive the formation of organs, which in the future may lay the foundation of novel approaches in treatments, diagnostics, and regenerative medicine.

Indexed as

Signal TransductionCardiovascular DiseasesHeartHumansProteinsReproducibility of ResultsTime FactorsProteins

Identifiers

PMID20571530
PMCPMC2913399

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.