Evidence map›Paper›PMID 25605785›Full record

ArticleDevelopment (Cambridge, England)2015

A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate.

Max V Staller, Charless C Fowlkes, Meghan D J Bragdon, Zeba Wunderlich, Javier Estrada, Angela H DePace

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Latent space of a small genetic network: Geometry of dynamics and information.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. A Mutation in theG3 (Bethesda, Md.) · 2020
    Article
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  15. 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

6 authors.

Max V StallerDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Charless C FowlkesDepartment of Computer Science, University of California Irvine, Irvine, CA 92697, USA.
Meghan D J BragdonDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Zeba WunderlichDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Javier EstradaDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Angela H DePaceDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA angela_depace@hms.harvard.edu.

Funding

Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Dissecting expression divergence in developmental networks across DrosophilidsK99HD073191 · NICHD · HARVARD MEDICAL SCHOOL · PI WUNDERLICH, ZEBA B · 2012 to 2013
$258k
NICHD NIH HHS K99 HD073191NIGMS NIH HHS R01 GM084947NIGMS NIH HHS U01 GM103804NIGMS NIH HHS U01 GM103804-01A1PHS HHS NIH/NIGMS R01-GM084947
6 · The paper itself

Abstract

In developing embryos, gene regulatory networks drive cells towards discrete terminal fates, a process called canalization. We studied the behavior of the anterior-posterior segmentation network in Drosophila melanogaster embryos by depleting a key maternal input, bicoid (bcd), and measuring gene expression patterns of the network at cellular resolution. This method results in a gene expression atlas containing the levels of mRNA or protein expression of 13 core patterning genes over six time points for every cell of the blastoderm embryo. This is the first cellular resolution dataset of a genetically perturbed Drosophila embryo that captures all cells in 3D. We describe the technical developments required to build this atlas and how the method can be employed and extended by others. We also analyze this novel dataset to characterize the degree and timing of cell fate canalization in the segmentation network. We find that in two layers of this gene regulatory network, following depletion of bcd, individual cells rapidly canalize towards normal cell fates. This result supports the hypothesis that the segmentation network directly canalizes cell fate, rather than an alternative hypothesis whereby cells are initially mis-specified and later eliminated by apoptosis. Our gene expression atlas provides a high resolution picture of a classic perturbation and will enable further computational modeling of canalization and gene regulation in this transcriptional network.

Indexed as

Databases, GeneticAnimalsBody PatterningCell LineageDrosophila melanogasterDrosophila ProteinsGene Regulatory NetworksHomeodomain ProteinsIn Situ HybridizationReal-Time Polymerase Chain ReactionRNA InterferenceTrans-ActivatorsTranscriptomebcd protein, DrosophilaDrosophila ProteinsHomeodomain ProteinsTrans-ActivatorsBicoidCanalizationDrosophilaEven-skippedGene expression atlasTranscriptional network

Identifiers

PMID25605785
PMCPMC4302997

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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.