Evidence map›Paper›PMID 26968612›Full record

ReviewTrends in biotechnology2016

Redefining Signaling Pathways with an Expanding Single-Cell Toolbox.

Suzanne Gaudet, Kathryn Miller-Jensen

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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  11. Article
  12. Review
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  15. Article
  16. Article
  17. Article
  18. Engineering Approaches to Study Cellular Decision Making.Annual review of biomedical engineering · 2018
    Review
  19. Review
  20. Quantitative profiling of innate immune activation by viral infection in single cells.Integrative biology : quantitative biosciences from nano to macro · 2017
    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.

Suzanne GaudetDepartment of Cancer Biology and Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. Electronic address: suzanne_gaudet@hms.harvard.edu.
Kathryn Miller-JensenDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA. Electronic address: kathryn.miller-jensen@yale.edu.

Funding

Single-cell analysis of TNF-induced signaling, transcription and fate decisionsR01GM104247 · NIGMS · DANA-FARBER CANCER INST · PI GAUDET, SUZANNE · 2013 to 2017
$1.7M
NIGMS NIH HHS R01 GM104247
6 · The paper itself

Abstract

Genetically identical cells respond heterogeneously to uniform environmental stimuli. Consequently, investigating the signaling networks that control these cell responses using 'average' bulk cell measurements can obscure underlying mechanisms and misses information emerging from cell-to-cell variability. Here we review recent technological advances including live-cell fluorescence imaging-based approaches and microfluidic devices that enable measurements of signaling networks, dynamics, and responses in single cells. We discuss how these single-cell tools have uncovered novel mechanistic insights for canonical signaling pathways that control cell proliferation (ERK), DNA-damage responses (p53), and innate immune and stress responses (NF-κB). Future improvements in throughput and multiplexing, analytical pipelines, and in vivo applicability will all significantly expand the biological information gained from single-cell measurements of signaling pathways.

Indexed as

AnimalsCell ProliferationCell SeparationDNA DamageGene Expression ProfilingHumansImmunity, InnateLab-On-A-Chip DevicesMAP Kinase Signaling SystemMicroscopy, FluorescenceOxidative StressTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID26968612
PMCPMC4958913

What OpenQuestion holds

Textmetadata
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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.