Evidence map›Paper›PMID 40025370›Full record

ReviewWorld journal of microbiology & biotechnology2025

Advancements in Escherichia coli secretion systems for enhanced recombinant protein production.

Sudarsana Reddy Lokireddy, Sridhar Rao Kunchala, Ramakrishna Vadde

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. Review
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  9. Probiotic-Based Materials as Living Therapeutics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. 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

3 authors.

Sudarsana Reddy LokireddyOncosmis Biotech Private Limited, Plot No 3, Genpact Rd, IDA Uppal, Hyderabad, TG, 500 007, India.
Sridhar Rao KunchalaOncosmis Biotech Private Limited, Plot No 3, Genpact Rd, IDA Uppal, Hyderabad, TG, 500 007, India. skunchala@oncosimis.com.
Ramakrishna VaddeDepartment of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh, 516 005, India. vrkrishna70@yvu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli is inarguably one of the most studied microorganisms across the spectrum of microbiology. It is very widely used in recombinant protein production owing to its rapid growth, ease of genetic manipulation, and relatively high protein yields. Despite all of its advantages, its inability to efficiently secrete proteins naturally remains a drawback leading to protein aggregation as inclusion bodies in the cytoplasm and consequent low overall protein yield. Therefore, many approaches to mitigate this weakness and enhance extracellular secretion to increase protein yield have been devised. This review explores the natural and engineered secretion systems in E. coli, highlighting their potential for enhanced protein secretion for non-glycosylated proteins. Natural one-step (e.g., Type I and III Secretion Systems) and two-step systems (e.g., Sec and Tat pathways) are detailed alongside recent advancements in genetic engineering, mutagenesis, and synthetic biology approaches aimed at improving protein yield, folding, and secretion efficiency. Emerging technologies, such as the ESETEC

Indexed as

Bacterial Secretion SystemsEscherichia coliRecombinant ProteinsEscherichia coli ProteinsGenetic EngineeringBacterial Secretion SystemsEscherichia coli ProteinsRecombinant ProteinsBacSec®.Escherichia coliESETEC®Protein secretionProtein translocationRecombinant proteins

Identifiers

What OpenQuestion holds

Textmetadata
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.