Evidence map›Paper›PMID 30257219›Full record

ArticleCell reports2018

Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data.

Ali Sinan Köksal, Kirsten Beck, Dylan R Cronin, Aaron McKenna, Nathan D Camp, Saurabh Srivastava, Matthew E MacGilvray, Rastislav Bodík, Alejandro Wolf-Yadlin, Ernest Fraenkel and 2 more

Abstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. A Framework for Benchmarking Pathway Reconstruction Algorithms.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Monocyte Migration Emerges from a Divergent Chemokine Signaling Network.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Phosphoproteomics data-driven signalling network inference: Does it work?Computational and structural biotechnology journal · 2023
    Article
  15. Graph algorithms for predicting subcellular localization at the pathway levelPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors.

Ali Sinan KöksalDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Kirsten BeckDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Dylan R CroninDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA; Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, USA.
Aaron McKennaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Nathan D CampDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Saurabh SrivastavaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Matthew E MacGilvrayLaboratory of Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Rastislav BodíkPaul G. Allen Center for Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Alejandro Wolf-YadlinDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Ernest FraenkelDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jasmin FisherMicrosoft Research, Cambridge, UK; Department of Biochemistry, University of Cambridge, Cambridge, UK.
Anthony GitterDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA; Morgridge Institute for Research, Madison, WI, USA. Electronic address: gitter@biostat.wisc.edu.

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
EXPERIMENTAL PATHOLOGY OF CARDIOVASCULAR DISEASET32HL007312 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAJESKY, MARK W., SCHWARTZ, STEPHEN MARK · 1985 to 2019
$11.8M
Neuron and Glial Cellular Signatures from Normal and Diseased iPS Cells-SupplementU54NS091046 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI FINKBEINER, STEVEN M, FRAENKEL, ERNEST · 2014 to 2020
$11.7M
TrainingU54AI117924 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CRAVEN, MARK W. · 2014 to 2018
$11.3M
Embryonal Brain Tumor NetworksU01CA184898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, MESIROV, JILL P. · 2014 to 2019
$3.6M
NCI NIH HHS U01 CA184898NHGRI NIH HHS T32 HG002760NHLBI NIH HHS T32 HL007312NIAID NIH HHS U54 AI117924NINDS NIH HHS U54 NS091046
6 · The paper itself

Abstract

We present a method for automatically discovering signaling pathways from time-resolved phosphoproteomic data. The Temporal Pathway Synthesizer (TPS) algorithm uses constraint-solving techniques first developed in the context of formal verification to explore paths in an interaction network. It systematically eliminates all candidate structures for a signaling pathway where a protein is activated or inactivated before its upstream regulators. The algorithm can model more than one hundred thousand dynamic phosphosites and can discover pathway members that are not differentially phosphorylated. By analyzing temporal data, TPS defines signaling cascades without needing to experimentally perturb individual proteins. It recovers known pathways and proposes pathway connections when applied to the human epidermal growth factor and yeast osmotic stress responses. Independent kinase mutant studies validate predicted substrates in the TPS osmotic stress pathway.

Indexed as

Protein Processing, Post-TranslationalSignal TransductionSoftwareCell LineHumansPhosphorylationProteomeProteomicsProteomemass spectrometrynetwork algorithmprogram synthesisprotein-protein interactionstime series phosphorylation

Identifiers

PMID30257219
PMCPMC6295338

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.