Evidence map›Paper›PMID 33187191›Full record

ArticleBioengineering (Basel, Switzerland)2020

Automated Conditional Screening of Multiple

Sebastian Hans, Benjamin Haby, Niels Krausch, Tilman Barz, Peter Neubauer, Mariano Nicolas Cruz-Bournazou

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Sebastian HansTechnische Universität Berlin, Institute of Biotechnology, Chair of Bioprocess Engineering, Strasse des 17. Juni 135, 10623 Berlin, Germany.ORCID 0000-0002-5346-869X
Benjamin HabyTechnische Universität Berlin, Institute of Biotechnology, Chair of Bioprocess Engineering, Strasse des 17. Juni 135, 10623 Berlin, Germany.ORCID 0000-0002-7417-5175
Niels KrauschTechnische Universität Berlin, Institute of Biotechnology, Chair of Bioprocess Engineering, Strasse des 17. Juni 135, 10623 Berlin, Germany.ORCID 0000-0003-2325-6001
Tilman BarzAIT Austrian Institute of Technology GmbH, Giefingasse 2, 1210 Vienna, Austria.ORCID 0000-0001-7289-3627
Peter NeubauerTechnische Universität Berlin, Institute of Biotechnology, Chair of Bioprocess Engineering, Strasse des 17. Juni 135, 10623 Berlin, Germany.ORCID 0000-0002-1214-9713
Mariano Nicolas Cruz-BournazouDataHow AG, ETH Zürich-HCI, F137, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland.ORCID 0000-0001-9461-4414

Funding

Bundesministerium für Bildung und Forschung 031L0018A
6 · The paper itself

Abstract

In bioprocess development, the host and the genetic construct for a new biomanufacturing process are selected in the early developmental stages. This decision, made at the screening scale with very limited information about the performance in larger reactors, has a major influence on the efficiency of the final process. To overcome this, scale-down approaches during screenings that show the real cell factory performance at industrial-like conditions are essential. We present a fully automated robotic facility with 24 parallel mini-bioreactors that is operated by a model-based adaptive input design framework for the characterization of clone libraries under scale-down conditions. The cultivation operation strategies are computed and continuously refined based on a macro-kinetic growth model that is continuously re-fitted to the available experimental data. The added value of the approach is demonstrated with 24 parallel fed-batch cultivations in a mini-bioreactor system with eight different

Indexed as

automated bioprocess developmentEscherichia colihigh-throughput screeningmodel-based experimental designrapid phenotyping

Identifiers

PMID33187191
PMCPMC7711848

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.