Article3 Biotech2019
Optimized chromogenic dyes-based identification and quantitative evaluation of bacterial l-asparaginase with low/no glutaminase activity bioprospected from pristine niches in Indian trans-Himalaya.
Article in 3 Biotech, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- The structural insights of L-asparaginase from3 Biotech · 2024Article
- Desirable L-asparaginases for treating cancer and current research trends.Frontiers in microbiology · 2024Review
- Genomics assisted characterization of plant growth-promoting and metabolite producing psychrotolerant Himalayan Chryseobacterium cucumeris PCH239.Archives of microbiology · 2023Article
- Biochemical characterization of extremozyme L-asparaginase from Pseudomonas sp. PCH199 for therapeutics.AMB Express · 2023Article
- Microbial pigments: Learning from Himalayan perspective to industrial applications.Journal of industrial microbiology & biotechnology · 2022Article
- Molecular cloning, characterization, and in-silico analysis of l-asparaginase from Himalayan3 Biotech · 2022Article
- Multiple Adaptive Strategies of HimalayanFrontiers in microbiology · 2022Article
- Metagenomic insights into Himalayan glacial and kettle lake sediments revealed microbial community structure, function, and stress adaptation strategies.Extremophiles : life under extreme conditions · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here, we report on the isolation of bacterial isolates from Himalayan niches, which produced extracellular l-asparaginase with low/no glutaminase activity. From the 235 isolates, 85 asparaginase positive bacterial isolates were identified by qualitative screening using optimized chromogenic dyes assay. Optimized concentration of different dyes revealed maximum color visualization in phenol red (0.003%). The diversity analysis of asparaginase positive isolates revealed that
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Registered trials
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