Evidence map›Paper›PMID 31035574›Full record

ReviewMicromachines2019

The Usual Suspects 2019: of Chips, Droplets, Synthesis, and Artificial Cells.

Christoph Eilenberger, Sarah Spitz, Barbara Eva Maria Bachmann, Eva Kathrin Ehmoser, Peter Ertl, Mario Rothbauer

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Christoph EilenbergerInstitute of Applied Synthetic Chemistry, Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, A-1060 Vienna, Austria. christoph.eilenberger@tuwien.ac.at.
Sarah SpitzInstitute of Applied Synthetic Chemistry, Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, A-1060 Vienna, Austria. sarah.spitz@tuwien.ac.at.
Barbara Eva Maria BachmannAustrian Cluster for Tissue Regeneration, Vienna, Austria; Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Allgemeine Unfallversicherungsanstalt (AUVA) Research Centre, A-1200 Vienna, Austria. barbara.bachmann@tuwien.ac.at.ORCID 0000-0002-5186-4808
Eva Kathrin EhmoserInstitute of Synthetic Bioarchitectures, Department of Nanobiotechnology, University of Natural Resources and Life Sciences Vienna, A-1190 Vienna, Austria. eva.ehmoser@boku.ac.at.ORCID 0000-0001-9201-268X
Peter ErtlInstitute of Applied Synthetic Chemistry, Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, A-1060 Vienna, Austria. peter.ertl@tuwien.ac.at.
Mario RothbauerInstitute of Applied Synthetic Chemistry, Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, A-1060 Vienna, Austria. mario.rothbauer@tuwien.ac.at.ORCID 0000-0002-9928-3631
TU Wien · ATBOKU University · ATLudwig Boltzmann Institute for Traumatology, The Research Center in Cooperation with AUVA · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology aims to understand fundamental biological processes in more detail than possible for actual living cells. Synthetic biology can combat decomposition and build-up of artificial experimental models under precisely controlled and defined environmental and biochemical conditions. Microfluidic systems can provide the tools to improve and refine existing synthetic systems because they allow control and manipulation of liquids on a micro- and nanoscale. In addition, chip-based approaches are predisposed for synthetic biology applications since they present an opportune technological toolkit capable of fully automated high throughput and content screening under low reagent consumption. This review critically highlights the latest updates in microfluidic cell-free and cell-based protein synthesis as well as the progress on chip-based artificial cells. Even though progress is slow for microfluidic synthetic biology, microfluidic systems are valuable tools for synthetic biology and may one day help to give answers to long asked questions of fundamental cell biology and life itself.

Indexed as

artificial cellsbottom-upcell-free synthesisdropletshigh throughputmicrofluidicsprotein synthesissynthetic biologytop-down

Identifiers

PMID31035574
PMCPMC6562886
OpenAlexW2941382439

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.