Evidence map›Paper›PMID 29038942›Full record

ArticleHistory and philosophy of the life sciences2017

Fitting structure to function in gene regulatory networks.

Ellen V Rothenberg

Abstract read
In one paragraph

Article in History and philosophy of the life sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. From Gregor Mendel to Eric Davidson: Mathematical Models and Basic Principles in Biology.Journal of computational biology : a journal of computational molecular cell biology · 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

1 author at 1 institution in 1 country.

Ellen V RothenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA. evroth@its.caltech.edu.
California Institute of Technology · US

Funding

Kinetic modeling and single-cell molecular mechanisms of early T-cell commitmentR01HL119102 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PETERSON, CARSTEN, ROTHENBERG, ELLEN V. · 2014 to 2018
$3.0M
Key nodes in the T-cell developmental gene regulatory networkR01AI095943 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2011 to 2015
$2.0M
Reverse engineering genetic network architecture of stem-cell/lymphocyte transitiR33HL089123 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2007 to 2009
$1.6M
Dynamic Epigenetic Mapping of a Stem Cell Differentiation ChoiceRC2CA148278 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V., WOLD, BARBARA J · 2009 to 2010
$1.6M
NCI NIH HHS RC2 CA148278NHLBI NIH HHS R01 HL119102NHLBI NIH HHS R33 HL089123NIAID NIH HHS R01 AI095943
6 · The paper itself

Abstract

Cascades of transcriptional regulation are the common source of the forward drive in all developmental systems. Increases in complexity and specificity of gene expression at successive stages are based on the collaboration of varied combinations of transcription factors already expressed in the cells to turn on new genes, and the logical relationships between the transcription factors acting and becoming newly expressed from stage to stage are best visualized as gene regulatory networks. However, gene regulatory networks used in different developmental contexts underlie processes that actually operate through different sets of rules, which affect the kinetics, synchronicity, and logical properties of individual network nodes. Contrasting early embryonic development in flies and sea urchins with adult mammalian hematopoietic development from stem cells, major differences are seen in transcription factor dosage dependence, the silencing or damping impacts of repression, and the impact of cellular regulatory history on the parts of the genome that are accessible to transcription factor action in a given cell type. These different features not only affect the kinds of models that can illuminate developmental mechanisms in the respective biological systems, but also reflect the evolutionary needs of these biological systems to optimize different aspects of development.

Indexed as

Gene Regulatory NetworksAnimalsStem CellsTranscription FactorsTranscription FactorsBoolean modelingChromatin accessibilityDevelopmental plasticityNetwork topologyT lymphocyte developmentTranscriptional regulation

Identifiers

PMID29038942
PMCPMC5660880
OpenAlexW2766745936

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.