Evidence map›Paper›PMID 38665924›Full record

ArticleMetabolic engineering communications2024

2-Stage microfermentations.

Shuai Li, Zhixia Ye, Eirik A Moreb, Romel Menacho-Melgar, Maximillian Golovsky, Michael D Lynch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolic engineering communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A foundation model for microbial growth dynamics.bioRxiv : the preprint server for biology · 2025
    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.

Shuai LiDepartment of Chemistry, Duke University, Durham, NC, USA.
Zhixia YeDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Eirik A MorebDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Romel Menacho-MelgarDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Maximillian GolovskyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Michael D LynchDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell based factories can be engineered to produce a wide variety of products. Advances in DNA synthesis and genome editing have greatly simplified the design and construction of these factories. It has never been easier to generate hundreds or even thousands of cell factory strain variants for evaluation. These advances have amplified the need for standardized, higher throughput means of evaluating these designs. Toward this goal, we have previously reported the development of engineered

Indexed as

2-StageDynamic controlE. coliHigh throughputMetabolic engineeringMicrobial strain evaluationMicrofermentationPhosphateProtein expression

Identifiers

PMID38665924
PMCPMC11043886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.