Evidence map›Paper›PMID 28365150›Full record

ArticleCell systems2017

Environment Tunes Propagation of Cell-to-Cell Variation in the Human Macrophage Gene Network.

Andrew J Martins, Manikandan Narayanan, Thorsten Prüstel, Bethany Fixsen, Kyemyung Park, Rachel A Gottschalk, Yong Lu, Cynthia Andrews-Pfannkoch, William W Lau, Katherine V Wendelsdorf and 1 more

Abstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Meta-Analysis ofFrontiers in immunology · 2019
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Andrew J MartinsSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Manikandan NarayananSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Thorsten PrüstelComputational Biology Section, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Bethany FixsenSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Kyemyung ParkSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA; Biophysics Program, University of Maryland-NIH Graduate Partnership Program, University of Maryland, College Park, MD 20742, USA.
Rachel A GottschalkLymphocyte Biology Section, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Yong LuSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
Cynthia Andrews-PfannkochSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
William W LauOffice of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA.
Katherine V WendelsdorfSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA.
John S TsangSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Health, Bethesda, MD 20892, USA; Trans-NIH Center for Human Immunology (CHI), National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: john.tsang@nih.gov.

Funding

Text Analytics, Machine Learning & High Performance ComputingZIHCT000200 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI JOHNSON, CALVIN A · 2009 to 2019
$25.5M
Systems biology of macrophage activation and plasticity - from single cells to information propagation in networksZIAAI001143 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TSANG, JOHN · 2011 to 2020
$4.0M
Intramural NIH HHS ZIA AI001143
6 · The paper itself

Abstract

Cell-to-cell variation in gene expression and the propagation of such variation (PoV or "noise propagation") from one gene to another in the gene network, as reflected by gene-gene correlation across single cells, are commonly observed in single-cell transcriptomic studies and can shape the phenotypic diversity of cell populations. While gene network "rewiring" is known to accompany cellular adaptation to different environments, how PoV changes between environments and its underlying regulatory mechanisms are less understood. Here, we systematically explored context-dependent PoV among genes in human macrophages, utilizing different cytokines as natural perturbations of multiple molecular parameters that may influence PoV. Our single-cell, epigenomic, computational, and stochastic simulation analyses reveal that environmental adaptation can tune PoV to potentially shape cellular heterogeneity by changing parameters such as the degree of phosphorylation and transcription factor-chromatin interactions. This quantitative tuning of PoV may be a widespread, yet underexplored, property of cellular adaptation to distinct environments.

Indexed as

Gene Regulatory NetworksGenetic VariationComputer SimulationGene ExpressionGene Expression RegulationHumansInterleukin-10MacrophagesStochastic ProcessesInterleukin-10environmental perturbationsgene-gene correlations across single cellsIL-10macrophage activationnetwork rewiring and differential gene network analysisnoise propagationpropagation of cell-to-cell variationsingle-cell genomicsstochastic modelingtranscription factor activity

Identifiers

PMID28365150
PMCPMC8392141

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.