Evidence map›Paper›PMID 32473573›Full record

ReviewInternational immunopharmacology2020

Hybridoma technology a versatile method for isolation of monoclonal antibodies, its applicability across species, limitations, advancement and future perspectives.

Hilal Ahmed Parray, Shivangi Shukla, Sweety Samal, Tripti Shrivastava, Shubbir Ahmed, Chandresh Sharma, Rajesh Kumar

Open access · greenAbstract readReview
In one paragraph

Review in International immunopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
13.5field-weighted citation impact, top 1% of its field
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

97 citing papers in PubMed, 210 citations in OpenAlex.

  1. Article
  2. Article
  3. A Synthetic Platform for Antibody Junctional Diversification Beyond Natural Constraints.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Generative AI-drivenAntibody therapeutics · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Spiegelmer Aptamers: Innovative Approach in Breast Cancer.Breast cancer : basic and clinical research · 2026
    Review
  16. Article
  17. Review
  18. Article
  19. Technologies for Monoclonal Antibody Discovery and Development.International journal of molecular sciences · 2025
    Review
  20. Review

37 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Hilal Ahmed ParrayTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India.
Shivangi ShuklaTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India.
Sweety SamalTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India.
Tripti ShrivastavaTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India.
Shubbir AhmedTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India.
Chandresh SharmaTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India. Electronic address: chandresh@thsti.res.in.
Rajesh KumarTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana 121001, India. Electronic address: rajesh@thsti.res.in.
Translational Health Science and Technology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancements in technology and manufacturing processes have allowed the development of new derivatives, biosimilar or advanced improved versions for approved antibodies each year for treatment regimen. There are more than 700 antibody-based molecules that are in different stages of phase I/II/ III clinical trials targeting new unique targets. To date, approximately more than 80 monoclonal antibodies (mAbs) have been approved. A total of 7 novel antibody therapeutics had been granted the first approval either in the United States or European Union in the year 2019, representing approximately 20% of the total number of approved drugs. Most of these licenced mAbs or their derivatives are either of hybridoma origin or their improvised engineered versions. Even with the recent development of high throughput mAb generation technologies, hybridoma is the most favoured method due to its indigenous nature to preserve natural cognate antibody pairing information and preserves innate functions of immune cells. The recent advent of antibody engineering technology has superseded the species level barriers and has shown success in isolation of hybridoma across phylogenetically distinct species. This has led to the isolation of monoclonal antibodies against human targets that are conserved and non-immunogenic in the rodent. In this review, we have discussed in detail about hybridoma technology, its expansion towards different animal species, the importance of antibodies isolated from different animal sources that are useful in biological applications, advantages, and limitations. This review also summarizes the challenges and recent progress associated with hybridoma development, and how it has been overcome in these years to provide new insights for the isolation of mAbs.

Indexed as

Antibodies, MonoclonalHybridomasAnimalsHumansAntibodies, MonoclonalAntibody engineeringBiosimilarClinical trialsHybridomaMonoclonal antibodiesTherapeutics

Identifiers

PMID32473573
PMCPMC7255167
OpenAlexW3029889567

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.