Evidence map›Paper›PMID 30661741›Full record

ArticleMarine genomics2019

Encounters across networks: Windows into principles of genomic regulation.

Ellen V Rothenberg

Abstract read
In one paragraph

Article in Marine genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 & Biological Engineering, California Institute of Technology, Pasadena, CA, USA. Electronic address: 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

Gene regulatory networks account for the ability of the genome to program development in complex multi-cellular organisms. Such networks are based on principles of gene regulation by combinations of transcription factors that bind to specific cis-regulatory DNA sites to activate transcription. These cis-regulatory regions mediate logic processing at each network node, enabling progressive increases in organismal complexity with development. Gene regulatory network explanations of development have been shown to account for patterning and cell type diversification in fly and sea urchin embryonic systems, where networks are characterized by fast coupling between transcriptional inputs and changes in target gene transcription rates, and crucial cis-regulatory elements are concentrated relatively close to the protein coding sequences of the target genes, thus facilitating their identification. Stem cell-based development in post-embryonic mammalian systems also depends on gene networks, but differs from the fly and sea urchin systems. First, the number of regulatory elements per gene and the distances between regulatory elements and the genes they control are considerably larger, forcing searches via genome-wide transcription factor binding surveys rather than functional assays. Second, the intrinsic timing of network state transitions can be slowed considerably by the need to undo stem-cell chromatin configurations, which presumably add stability to stem-cell states but retard responses to transcription factor changes during differentiation. The dispersed, partially redundant cis-regulatory systems controlling gene expression and the slow state transition kinetics in these systems already reveal new insights and opportunities to extend understanding of the repertoire of gene networks and regulatory system logic.

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksGenomeAnimalsAquatic OrganismsGenomicsInvertebratesVertebratesChromatinCis-regulatory elementsCombinatorial logicGene regulatory networksNetwork response timingTranscription factor binding

Identifiers

PMID30661741
PMCPMC6431589
OpenAlexW2909623724

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.