Evidence map›Paper›PMID 26598662›Full record

ReviewProceedings of the National Academy of Sciences of the United States of America2015

Synthetic biology devices for in vitro and in vivo diagnostics.

Shimyn Slomovic, Keith Pardee, James J Collins

Open access · greenAbstract readReview
In one paragraph

Review in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% of its field
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

129 citing papers in PubMed, 1 synthesis or guideline pooled it, 331 citations in OpenAlex.

  1. Pooled it
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  12. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
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69 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Shimyn SlomovicInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
Keith PardeeWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115;
James J CollinsInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02142 jimjc@mit.edu.
Broad Institute · USHarvard University · USMassachusetts Institute of Technology · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

There is a growing need to enhance our capabilities in medical and environmental diagnostics. Synthetic biologists have begun to focus their biomolecular engineering approaches toward this goal, offering promising results that could lead to the development of new classes of inexpensive, rapidly deployable diagnostics. Many conventional diagnostics rely on antibody-based platforms that, although exquisitely sensitive, are slow and costly to generate and cannot readily confront rapidly emerging pathogens or be applied to orphan diseases. Synthetic biology, with its rational and short design-to-production cycles, has the potential to overcome many of these limitations. Synthetic biology devices, such as engineered gene circuits, bring new capabilities to molecular diagnostics, expanding the molecular detection palette, creating dynamic sensors, and untethering reactions from laboratory equipment. The field is also beginning to move toward in vivo diagnostics, which could provide near real-time surveillance of multiple pathological conditions. Here, we describe current efforts in synthetic biology, focusing on the translation of promising technologies into pragmatic diagnostic tools and platforms.

Indexed as

AnimalsBiosensing TechniquesGene Regulatory NetworksHumansPathology, MolecularSynthetic Biologybiosensingdiagnosticsnanobiotechnologysynthetic biologysynthetic gene networks

Identifiers

PMID26598662
PMCPMC4664311
OpenAlexW2174637668

What OpenQuestion holds

Textmetadata
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.