Evidence map›Paper›PMID 30139877›Full record

ReviewEssays in biochemistry2018

A systems perspective of heterocellular signaling.

Alan Wells, H Steven Wiley

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

Alan WellsDepartments of Pathology and Computational and Systems Biology, University of Pittsburgh, Pittsburg, PA 15261, U.S.A.
H Steven WileyEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99352, U.S.A. steven.wiley@pnnl.gov.

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Spatial Segregation of Cell Functioning During MotilityR01GM069668 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WELLS, ALAN · 2004 to 2019
$4.7M
Dermal-Epidermal Communication during Wound HealingR01GM063569 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WELLS, ALAN · 2003 to 2018
$3.7M
Dermal-Epidermal Communication during Wound HealingR56GM063569 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WELLS, ALAN · 2008 to 2008
$341k
BLRD VA I01 BX003368NIGMS NIH HHS P41 GM103493NIGMS NIH HHS R01 GM063569NIGMS NIH HHS R01 GM069668NIGMS NIH HHS R56 GM063569
6 · The paper itself

Abstract

Signal exchange between different cell types is essential for development and function of multicellular organisms, and its dysregulation is causal in many diseases. Unfortunately, most cell-signaling work has employed single cell types grown under conditions unrelated to their native context. Recent technical developments have started to provide the tools needed to follow signaling between multiple cell types, but gaps in the information they provide have limited their usefulness in building realistic models of heterocellular signaling. Currently, only targeted assays have the necessary sensitivity, selectivity, and spatial resolution to usefully probe heterocellular signaling processes, but these are best used to test specific, mechanistic models. Decades of systems biology research with monocultures has provided a solid foundation for building models of heterocellular signaling, but current models lack a realistic description of regulated proteolysis and the feedback processes triggered within and between cells. Identification and understanding of key regulatory processes in the extracellular environment and of recursive signaling patterns between cells will be essential to building predictive models of heterocellular systems.

Indexed as

Cell CommunicationModels, BiologicalSignal TransductionSystems BiologyHumansextracellular matrixheterocellularproteolysisspatial regulationsystems biologywound healing

Identifiers

PMID30139877
PMCPMC6309864

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.