Evidence map›Paper›PMID 37638848›Full record

ReviewMicrobial biotechnology2024

Expanding the genetic programmability of Lactiplantibacillus plantarum.

Marc Blanch-Asensio, Sourik Dey, Varun Sai Tadimarri, Shrikrishnan Sankaran

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. PEARL: Protein Eluting Alginate with Recombinant Lactobacilli.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  6. Probiotic-Based Materials as Living Therapeutics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  7. Developing anACS pharmacology & translational science · 2025
    Article
  8. Article
  9. 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

4 authors.

Marc Blanch-AsensioBioprogrammable Materials, INM-Leibniz Institute for New Materials, Saarbrücken, Germany.
Sourik DeyBioprogrammable Materials, INM-Leibniz Institute for New Materials, Saarbrücken, Germany.
Varun Sai TadimarriBioprogrammable Materials, INM-Leibniz Institute for New Materials, Saarbrücken, Germany.
Shrikrishnan SankaranBioprogrammable Materials, INM-Leibniz Institute for New Materials, Saarbrücken, Germany.ORCID 0000-0001-6251-585X

Funding

Deutsche Forschungsgemeinschaft 455063657Leibniz Association
6 · The paper itself

Abstract

Lactobacilli are ubiquitous in nature and symbiotically provide health benefits for countless organisms including humans, animals and plants. They are vital for the fermented food industry and are being extensively explored for healthcare applications. For all these reasons, there is considerable interest in enhancing and controlling their capabilities through the engineering of genetic modules and circuits. One of the most robust and reliable microbial chassis for these synthetic biology applications is the widely used Lactiplantibacillus plantarum species. However, the genetic toolkit needed to advance its applicability remains poorly equipped. This mini-review highlights the genetic parts that have been discovered to achieve food-grade recombinant protein production and speculates on lessons learned from these studies for L. plantarum engineering. Furthermore, strategies to identify, create and optimize genetic parts for real-time regulation of gene expression and enhancement of biosafety are also suggested.

Indexed as

FoodGene Regulatory NetworksAnimalsHumansLactobacillaceaeSynthetic Biology

Identifiers

PMID37638848
PMCPMC10832526

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.