Evidence map›Paper›PMID 32730242›Full record

ArticlePLoS biology2020

In situ characterisation and manipulation of biological systems with Chi.Bio.

Harrison Steel, Robert Habgood, Ciarán L Kelly, Antonis Papachristodoulou

Abstract readEvaluation Study
In one paragraph

Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Cross-feeding enables robust coexistence between four bacterial species.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. A Safe and Versatile Minicell Platform Derived fromJournal of microbiology and biotechnology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Harrison SteelDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Robert HabgoodDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8487-4551
Ciarán L KellyDepartment of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-2263-5176
Antonis PapachristodoulouDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3565-8967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precision and repeatability of in vivo biological studies is predicated upon methods for isolating a targeted subsystem from external sources of noise and variability. However, in many experimental frameworks, this is made challenging by nonstatic environments during host cell growth, as well as variability introduced by manual sampling and measurement protocols. To address these challenges, we developed Chi.Bio, a parallelised open-source platform that represents a new experimental paradigm in which all measurement and control actions can be applied to a bulk culture in situ. In addition to continuous-culturing capabilities, it incorporates tunable light outputs, spectrometry, and advanced automation features. We demonstrate its application to studies of cell growth and biofilm formation, automated in silico control of optogenetic systems, and readout of multiple orthogonal fluorescent proteins in situ. By integrating precise measurement and actuation hardware into a single low-cost platform, Chi.Bio facilitates novel experimental methods for synthetic, systems, and evolutionary biology and broadens access to cutting-edge research capabilities.

Indexed as

BioreactorsAutomationBiofilmsCell ProliferationComputer SimulationCulture TechniquesOptogeneticsSoftware

Identifiers

PMID32730242
PMCPMC7419009

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.