Evidence map›Paper›PMID 39059674›Full record

ArticleMetabolic engineering2024

Scalable, robust, high-throughput expression & purification of nanobodies enabled by 2-stage dynamic control.

Jennifer N Hennigan, Romel Menacho-Melgar, Payel Sarkar, Maximillian Golovsky, Michael D Lynch

Abstract read
In one paragraph

Article in Metabolic engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A foundation model for microbial growth dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. 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

5 authors.

Jennifer N HenniganDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Romel Menacho-MelgarDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Payel SarkarDepartment 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. Electronic address: michael.lynch@duke.edu.

Funding

Rapid diagnosis and quantification of HIV by direct capture, labelling and detection of individual virionsR61AI140485 · NIAID · DUKE UNIVERSITY · PI CHILKOTI, ASHUTOSH, LYNCH, MICHAEL DAVID · 2019 to 2021
$1.6M
NIAID NIH HHS R61 AI140485
6 · The paper itself

Abstract

Nanobodies are single-domain antibody fragments that have garnered considerable use as diagnostic and therapeutic agents as well as research tools. However, obtaining pure VHHs, like many proteins, can be laborious and inconsistent. High level cytoplasmic expression in E. coli can be challenging due to improper folding and insoluble aggregation caused by reduction of the conserved disulfide bond. We report a systems engineering approach leveraging engineered strains of E. coli, in combination with a two-stage process and simplified downstream purification, enabling improved, robust, soluble cytoplasmic nanobody expression, as well as rapid cell autolysis and purification. This approach relies on the dynamic control over the reduction potential of the cytoplasm, incorporates lysis enzymes for purification, and can also integrate dynamic expression of protein folding catalysts. Collectively, the engineered system results in more robust growth and protein expression, enabling efficient scalable nanobody production, and purification from high throughput microtiter plates, to routine shake flask cultures and larger instrumented bioreactors. We expect this system will expedite VHH development.

Indexed as

Escherichia coliSingle-Domain AntibodiesMetabolic EngineeringRecombinant ProteinsRecombinant ProteinsSingle-Domain AntibodiesBiomanufacturingDisulfide-bondsE. coliMetabolic engineeringNanobodyRecombinant protein expressionRedox stateSystems engineering

Identifiers

PMID39059674
PMCPMC11408108

What OpenQuestion holds

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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.