Evidence map›Paper›PMID 28396000›Full record

ArticleCell systems2017

Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation.

Keara Lane, David Van Valen, Mialy M DeFelice, Derek N Macklin, Takamasa Kudo, Ariel Jaimovich, Ambrose Carr, Tobias Meyer, Dana Pe'er, Stéphane C Boutet 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 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Review
  2. Article
  3. bioRxiv : the preprint server for biology · 2026
    Article
  4. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Keara LaneDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
David Van ValenDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Mialy M DeFeliceDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Derek N MacklinDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Takamasa KudoDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Ariel JaimovichDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Ambrose CarrDepartment of Systems Biology, Columbia University, New York, NY 10032, USA.
Tobias MeyerDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Dana Pe'erProgram in Computational and Systems Biology, Sloan Kettering Institute, New York, NY 10065, USA.
Stéphane C BoutetR&D Department, Fluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, CA 94080, USA.
Markus W CovertDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA. Electronic address: mcovert@stanford.edu.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
A Gene-Complete Computational Model of YeastDP1LM011510 · NLM · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2012 to 2013
$1.6M
CV7000S10OD018073 · OD · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 2014 to 2014
$599k
Decision points to enter and exit the human cell cycleR01GM118377 · NIGMS · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 2016 to 2017
$566k
Understanding host-virus interactions at the single cell levelF32GM119319 · NIGMS · STANFORD UNIVERSITY · PI VAN VALEN, DAVID A · 2016 to 2017
$127k
NIGMS NIH HHS F32 GM119319NIGMS NIH HHS P50 GM107615NIGMS NIH HHS R01 GM118377NLM NIH HHS DP1 LM011510
6 · The paper itself

Abstract

Signaling proteins display remarkable cell-to-cell heterogeneity in their dynamic responses to stimuli, but the consequences of this heterogeneity remain largely unknown. For instance, the contribution of the dynamics of the innate immune transcription factor nuclear factor κB (NF-κB) to gene expression output is disputed. Here we explore these questions by integrating live-cell imaging approaches with single-cell sequencing technologies. We used this approach to measure both the dynamics of lipopolysaccharide-induced NF-κB activation and the global transcriptional response in the same individual cell. Our results identify multiple, distinct cytokine expression patterns that are correlated with NF-κB activation dynamics, establishing a functional role for NF-κB dynamics in determining cellular phenotypes. Applications of this approach to other model systems and single-cell sequencing technologies have significant potential for discovery, as it is now possible to trace cellular behavior from the initial stimulus, through the signaling pathways, down to genome-wide changes in gene expression, all inside of a single cell.

Indexed as

Models, ImmunologicalAnimalsCytokinesGene Expression RegulationHEK293 CellsHumansImmunity, InnateLipopolysaccharidesMiceNF-kappa BRAW 264.7 CellsSequence Analysis, RNASignal TransductionSingle-Cell AnalysisTranscriptional ActivationTranscriptomeCytokinesLipopolysaccharidesNF-kappa Bgene expressionlive-cell imagingNF-κBRNA-seqsignaling dynamicssingle-cell heterogeneity

Identifiers

PMID28396000
PMCPMC6748049

What OpenQuestion holds

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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.