Evidence map›Paper›PMID 34596238›Full record

ArticleBiotechnology and bioengineering2022

Modular development enables rapid design of media for alternative hosts.

Andrew M Biedermann, Isabella R Gengaro, Sergio A Rodriguez-Aponte, Kerry R Love, J Christopher Love

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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.

Andrew M BiedermannDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0002-2090-8118
Isabella R GengaroDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Sergio A Rodriguez-AponteThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kerry R LoveDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
J Christopher LoveDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0003-0921-3144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing media to sustain cell growth and production is an essential and ongoing activity in bioprocess development. Modifications to media can often address host or product-specific challenges, such as low productivity or poor product quality. For other applications, systematic design of new media can facilitate the adoption of new industrially relevant alternative hosts. Despite manifold existing methods, common approaches for optimization often remain time and labor-intensive. We present here a novel approach to conventional media blending that leverages stable, simple, concentrated stock solutions to enable rapid improvement of measurable phenotypes of interest. We applied this modular methodology to generate high-performing media for two phenotypes of interest: biomass accumulation and heterologous protein production, using high-throughput, milliliter-scale batch fermentations of Pichia pastoris as a model system. In addition to these examples, we also created a flexible open-source package for modular blending automation on a low-cost liquid handling system to facilitate wide use of this method. Our modular blending method enables rapid, flexible media development, requiring minimal labor investment and prior knowledge of the host organism, and should enable developing improved media for other hosts and phenotypes of interest.

Indexed as

BioreactorsCulture MediaAutomation, LaboratoryBiomassFermentationPichiaCulture Mediaalternative hostsautomationmedia blendingmedia developmentPichia pastoris

Identifiers

PMID34596238
PMCPMC9298315

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.