Evidence map›Paper›PMID 41863618›Full record

ReviewArchives of microbiology2026

Genetically engineered lipases: advances in expression and upscaling for industrial applications.

Debashrita Majumder, Subrata Dash, Debasmita Bhattacharya, Harjot Singh Gill, Vaseem Raja, Juwita Ratna Dewi, Arpita Roy, Mithul Rajeev, Soumya Pandit, Shubham Sharma and 3 more

Abstract readReview
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In one paragraph

Review in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Debashrita Majumder *Department of Biotechnology, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, West Bengal, India.
Subrata Dash *Department of Biotechnology, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, West Bengal, India.
Debasmita BhattacharyaDepartment of Basic Science and Humanities, Institute of Engineering and Management, Salt Lake, University of Engineering and Management, Kolkata, India.
Harjot Singh GillInstitute of Engineering and e-governance, Chandigarh University, Gharuan, Mohali, India.
Vaseem RajaDepartment of Biotechnology, University Centre for Research and Development, Chandigarh University Gharuan, Mohali, 140413, Punjab, India.
Juwita Ratna DewiPostgraduate School, Environmental Sciences, Universitas Brawijaya, Veteran St, Malang, 65145, East Java, Indonesia.
Arpita RoyResearch and Development Cell, Lovely Professional University, Phagwara, 144411, India.
Mithul RajeevCenter for Global Health Research, Saveetha Medical College and Hospital Saveetha, Institute of Medical and Technical Sciences (SIMATS), Chennai, 602105, Tamil Nadu, India.
Soumya PanditDepartment of Life Sciences, School of Biosciences and Technology, Sharda University, Noida, India.
Shubham SharmaLloyd Institute of Engineering & Technology, Plot No. 3, Knowledge Park II, Greater Noida, 201306, Uttar Pradesh, India.
Shashi Prakash DwivediLloyd Institute of Engineering & Technology, Plot No. 3, Knowledge Park II, Greater Noida, 201306, Uttar Pradesh, India.
Moupriya NagDepartment of Biotechnology, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, West Bengal, India. moupriya.nag@uem.edu.in.
Dibyajit LahiriDepartment of Biotechnology, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, West Bengal, India. dibyajit.lahiri@uem.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipases are versatile enzymes with widespread industrial applications, including detergents, food processing, pharmaceuticals, biofuels, and environmental cleanup. Their ability to catalyze both hydrolytic and synthetic reactions under diverse conditions underpins their biotechnological significance. Native lipases, however, exhibit limitations such as low stability, narrow substrate spectrum, and low production yields, which limit their large-scale application. Emerging developments in genetic and protein engineering have enabled accurate modulation of enzyme properties and expression systems, offering potential solutions to overcome these challenges. This review presents an integrated view of existing strategies for designing high-performance lipases for industrial applications. It summarizes advancements from metagenomic discovery and gene optimization to expression optimization through codon improvement, promoter adjustment, signal peptide design, and chaperone-mediated folding. Protein engineering strategies, including rational design, directed evolution, and domain recombination; are addressed to enhance catalytic activity, selectivity, and thermostability. Concomitantly, breakthroughs in fermentation optimization, host metabolism engineering, and enzyme immobilization have enhanced the scalability and operational robustness of lipase manufacturing. Novel omics-driven and systems biology platforms now facilitate the rational design of microbial hosts optimized for efficient enzyme biosynthesis. Collectively, these advances outline a coherent blueprint for engineering lipases into strong, industrially applicable biocatalysts.

Indexed as

Genetic EngineeringLipaseProtein EngineeringBiotechnologyIndustrial MicrobiologyRecombinant ProteinsLipaseRecombinant ProteinsCodonGene editingMetagenomicsOmicsProtein engineeringRecombinant lipaseSystems biology

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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.