Evidence map›Paper›PMID 28469006›Full record

ReviewOpen biology2017

Shaping development by stochasticity and dynamics in gene regulation.

Peng Dong, Zhe Liu

Abstract readReview
In one paragraph

Review in Open biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

2 authors.

Peng DongHoward Hughes Medical Institute, Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147, USA dongp@janelia.hhmi.org.ORCID 0000-0003-4946-1409
Zhe LiuHoward Hughes Medical Institute, Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147, USA liuz11@janelia.hhmi.org.ORCID 0000-0002-3592-3150

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Animal development is orchestrated by spatio-temporal gene expression programmes that drive precise lineage commitment, proliferation and migration events at the single-cell level, collectively leading to large-scale morphological change and functional specification in the whole organism. Efforts over decades have uncovered two 'seemingly contradictory' mechanisms in gene regulation governing these intricate processes: (i) stochasticity at individual gene regulatory steps in single cells and (ii) highly coordinated gene expression dynamics in the embryo. Here we discuss how these two layers of regulation arise from the molecular and the systems level, and how they might interplay to determine cell fate and to control the complex body plan. We also review recent technological advancements that enable quantitative analysis of gene regulation dynamics at single-cell, single-molecule resolution. These approaches outline next-generation experiments to decipher general principles bridging gaps between molecular dynamics in single cells and robust gene regulations in the embryo.

Indexed as

Gene Expression ProfilingGene Expression Regulation, DevelopmentalGene Regulatory NetworksAnimalsCell DifferentiationCell MovementCell ProliferationHumansSingle-Cell AnalysisStochastic Processesburstingdevelopmentgene expression noisegene regulationgene regulatory networkimaging

Identifiers

PMID28469006
PMCPMC5451542

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.