Evidence map›Paper›PMID 42873278›Full record

ArticleBioprocess and biosystems engineering2026

Tailoring high-cell-density fed-batch fermentation strategies to produce Russell's viper venom-specific single-domain antibody in E. coli.

Shivani Chauhan, Nimisha Chaudhary, Mohini Talwar, Shubham Sharma, Priya Maravi, Sharvan Sehrawat, Yogender Pal Khasa

Abstract read
PubMed Publisher
In one paragraph

Article in Bioprocess and biosystems engineering, 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

7 authors.

Shivani ChauhanDepartment of Microbiology, University of Delhi South Campus, New Delhi, 110021, India.
Nimisha ChaudharyDepartment of Biological Sciences, Indian Institute of Science Education and Research Mohali, Manauli-140306, Mohali, Punjab, India.
Mohini TalwarDepartment of Microbiology, University of Delhi South Campus, New Delhi, 110021, India.
Shubham SharmaDepartment of Microbiology, University of Delhi South Campus, New Delhi, 110021, India.
Priya MaraviDepartment of Microbiology, University of Delhi South Campus, New Delhi, 110021, India.
Sharvan SehrawatDepartment of Biological Sciences, Indian Institute of Science Education and Research Mohali, Manauli-140306, Mohali, Punjab, India.
Yogender Pal KhasaDepartment of Microbiology, University of Delhi South Campus, New Delhi, 110021, India. yogi110@gmail.com.

Funding

SERB Govt. of India IPA/2021/000136
6 · The paper itself

Abstract

Attributes of camelid-derived single-domain antibodies (sdAbs), such as enhanced antigen specificity, improved solubility and stability, efficient tissue penetration, and superior biodistribution, make them preferable therapeutics for diverse applications, including the treatment of cancers, neurological disorders, infectious diseases, and intoxication. Limited availability and high cost of antivenoms necessitate the discovery of alternative neutralizers. This investigation presents a proof of concept for developing a cost-effective Escherichia coli-based platform to produce high yields of an sdAb specific to Russell's viper venom, denoted as 'FRV'. The gene encoding the FRV protein was cloned into the pET28a vector, and expression was evaluated in shake flasks using both complex and chemically defined media at various temperatures, achieving a maximum concentration of ~ 190 mg/L and a specific product yield (Y

Indexed as

Camelid-derived single domain antibodyE. coliFed-batch fermentationHigh-cell-density cultivationRussell’s viper venom

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.