ArticleJournal of microbiology and biotechnology2025
Secretory Expression of
Article in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Improved Extracellular Level of L-Asparaginase in Shaken Cultures of Escherichia coli ATCC 11,303 Using a Statistical Design Approach.Applied biochemistry and biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
L-Asparaginase is a potential therapeutic enzyme used in the treatment of acute lymphoblastic leukemia. It is also useful as a food processing aid. Hence, many studies have been conducted to develop and optimize production methods for L-asparaginase using various microbial hosts. In this study, a secretory expression route for L-asparaginase was developed using recombinant
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Registered trials
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.