Evidence map›Paper›PMID 23856592›Full record

ReviewCurrent opinion in biotechnology2013

Engineering cell-cell signaling.

Katarina Blagovic, Emily S Gong, Daniel F Milano, Robert J Natividad, Anand R Asthagiri

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Bacterialized tumor cells as vaccine.EMBO molecular medicine · 2026
    Article
  2. Article
  3. Nanocarrier-mediated drug delivery systems for spinal cord injury treatment.Frontiers in bioengineering and biotechnology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

5 authors.

Katarina Blagovic *Department of Chemical Engineering, Northeastern University, Boston, MA.
Emily S Gong *Department of Chemical Engineering, Northeastern University, Boston, MA.
Daniel F MilanoDepartment of Chemical Engineering, Northeastern University, Boston, MA.
Robert J NatividadDepartment of Chemical Engineering, Northeastern University, Boston, MA.
Anand R AsthagiriDepartment of Chemical Engineering, Northeastern University, Boston, MA.

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HILLIS, WILLIAM DANIEL · 2009 to 2013
$15.2M
Quantitative analysis of epithelial cell scatterR01CA138899 · NCI · NORTHEASTERN UNIVERSITY · PI ASTHAGIRI, ANAND R · 2010 to 2014
$1.3M
NCI NIH HHS R01 CA138899NCI NIH HHS R01CA138899NCI NIH HHS U54 CA143907NCI NIH HHS U54CA143907
6 · The paper itself

Abstract

Juxtacrine cell-cell signaling mediated by the direct interaction of adjoining mammalian cells is arguably the mode of cell communication that is most recalcitrant to engineering. Overcoming this challenge is crucial for progress in biomedical applications, such as tissue engineering, regenerative medicine, immune system engineering and therapeutic design. Here, we describe the significant advances that have been made in developing synthetic platforms (materials and devices) and synthetic cells (cell surface engineering and synthetic gene circuits) to modulate juxtacrine cell-cell signaling. In addition, significant progress has been made in elucidating design rules and strategies to modulate juxtacrine signaling on the basis of quantitative, engineering analysis of the mechanical and regulatory role of juxtacrine signals in the context of other cues and physical constraints in the microenvironment. These advances in engineering juxtacrine signaling lay a strong foundation for an integrative approach to utilize synthetic cells, advanced 'chassis' and predictive modeling to engineer the form and function of living tissues.

Indexed as

Cell CommunicationCell EngineeringAnimalsArtificial CellsCellular MicroenvironmentHumansSignal TransductionTissue Engineering

Identifiers

PMID23856592
PMCPMC3962617

What OpenQuestion holds

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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.