Evidence map›Paper›PMID 26714638›Full record

ArticleBMC systems biology2015

A synthetic mammalian network to compute population borders based on engineered reciprocal cell-cell communication.

Katja Kolar, Hanna M Wischhusen, Konrad Müller, Maria Karlsson, Wilfried Weber, Matias D Zurbriggen

Abstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017
    Review
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

6 authors.

Katja KolarFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany.
Hanna M WischhusenFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany.
Konrad MüllerFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany.
Maria KarlssonFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany.
Wilfried WeberFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany.
Matias D ZurbriggenFaculty of Biology, University of Freiburg, DE-79104, Freiburg, Germany. matias.zurbriggen@uni-duesseldorf.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulticellular organisms depend on the exchange of information between specialized cells. This communication is often difficult to decipher in its native context, but synthetic biology provides tools to engineer well-defined systems that allow the convenient study and manipulation of intercellular communication networks.

resultsHere, we present the first mammalian synthetic network for reciprocal cell-cell communication to compute the border between a sender/receiver and a processing cell population. The two populations communicate via L-tryptophan and interleukin-4 to highlight the population border by the production of a fluorescent protein. The sharpness of that visualized edge can be adjusted by modulating key parameters of the network.

conclusionsWe anticipate that this network will on the one hand be a useful tool to gain deeper insights into the mechanisms of tissue formation in nature and will on the other hand contribute to our ability to engineer artificial tissues.

Indexed as

Cell CommunicationCell EngineeringAnimalsInterleukin-4MammalsMetabolic Networks and PathwaysModels, BiologicalSynthetic BiologyTryptophanInterleukin-4Tryptophan

Identifiers

PMID26714638
PMCPMC4696150

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.