Evidence map›Paper›PMID 29946262›Full record

ReviewFrontiers in pharmacology2018

Cell Line Techniques and Gene Editing Tools for Antibody Production: A Review.

Arun K Dangi, Rajeshwari Sinha, Shailja Dwivedi, Sanjeev K Gupta, Pratyoosh Shukla

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. A One Health Perspective onMicroorganisms · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. A database of crop pest cell lines.In vitro cellular & developmental biology. Animal · 2022
    Article
  8. Review
  9. Review
  10. Review
  11. Decoupling Growth and Protein Production in CHO Cells: A Targeted Approach.Frontiers in bioengineering and biotechnology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Systems Biology Approaches for Therapeutics Development Against COVID-19.Frontiers in cellular and infection microbiology · 2020
    Review
  17. Peptides, Antibodies, Peptide Antibodies and More.International journal of molecular sciences · 2019
    Review
  18. Review
  19. Article
  20. Review
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

5 authors.

Arun K DangiEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, India.
Rajeshwari SinhaIndependent Researcher, New Delhi, India.
Shailja DwivediAdvanced Biotech Lab, Ipca Laboratories Limited, Mumbai, India.
Sanjeev K GuptaAdvanced Biotech Lab, Ipca Laboratories Limited, Mumbai, India.
Pratyoosh ShuklaEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present day modern formulation practices for drugs are based on newer tools and techniques toward effective utilization. The methods of antibody formulations are to be revolutionized based on techniques of cell engineering and gene editing. In the present review, we have discussed innovations in cell engineering toward production of novel antibodies for therapeutic applications. Moreover, this review deciphers the use of RNAi, ribozyme engineering, CRISPR-Cas-based techniques for better strategies for antibody production. Overall, this review describes the multidisciplinary aspects of the production of therapeutic proteins that has gained more attention due to its increasing demand.

Indexed as

antibodiescell line engineeringCRISPR-Casgene editingribozymesRNAi

Identifiers

PMID29946262
PMCPMC6006397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.