Evidence map›Paper›PMID 29738884›Full record

ReviewSeminars in cell & developmental biology2020

Pathway perturbations in signaling networks: Linking genotype to phenotype.

Yongsheng Li, Daniel J McGrail, Natasha Latysheva, Song Yi, M Madan Babu, Nidhi Sahni

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Heuristic shortest hyperpaths in cell signaling hypergraphs.Algorithms for molecular biology : AMB · 2022
    Article
  7. Article
  8. Review
  9. Oncoimmunology Meets Organs-on-Chip.Frontiers in molecular biosciences · 2021
    Review
  10. Review
  11. The variome concept: focus on CNVariome.Molecular cytogenetics · 2019
    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

6 authors.

Yongsheng LiDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Daniel J McGrailDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Natasha LatyshevaMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, CB2 0QH, UK.
Song YiDepartment of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA. Electronic address: stephen.yi@austin.utexas.edu.
M Madan BabuMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, CB2 0QH, UK. Electronic address: madanm@mrc-lmb.cam.ac.uk.
Nidhi SahniDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA; Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. Electronic address: nsahni@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Fostering Career Development: Functional Analyses of Molecular Interactome Perturbations by Cancer MutationsK22CA214765 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI YI, S. STEPHEN · 2018 to 2019
$368k
Medical Research Council MC_U105185859NCI NIH HHS K22 CA214765NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Genes and gene products interact with each other to form signal transduction networks in the cell. The interactome networks are under intricate regulation in physiological conditions, but could go awry upon genome instability caused by genetic mutations. In the past decade with next-generation sequencing technologies, an increasing number of genomic mutations have been identified in a variety of disease patients and healthy individuals. As functional and systematic studies on these mutations leap forward, they begin to reveal insights into cellular homeostasis and disease mechanisms. In this review, we discuss recent advances in the field of network biology and signaling pathway perturbations upon genomic changes, and highlight the success of various omics datasets in unraveling genotype-to-phenotype relationships.

Indexed as

GenotypePhenotypeAnimalsGene Regulatory NetworksHumansSignal TransductionGenetic mutationsInteractome and regulomeNetwork perturbationsProtein interactionsSignaling pathways

Identifiers

PMID29738884
PMCPMC6230320

What OpenQuestion holds

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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.