Evidence map›Paper›PMID 35674877›Full record

ReviewMolecular biology reports2022

Expression of mammalian proteins for diagnostics and therapeutics: a review.

Jacqueline Kar Kei Mark, Crystale Siew Ying Lim, Fazlina Nordin, Gee Jun Tye

Abstract readReview
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Reversing transgene silencing via targeted chromatin editing.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Advancements in antibody-drug conjugates as cancer therapeutics.Journal of the National Cancer Center · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. 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

4 authors.

Jacqueline Kar Kei MarkInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Penang, Minden, Malaysia.
Crystale Siew Ying LimDepartment of Biotechnology, Faculty of Applied Sciences, UCSI University, No 1 Jalan Menara Gading, UCSI Heights, Taman Connaught, 56000, Kuala Lumpur, Cheras, Malaysia.
Fazlina NordinTissue Engineering Centre (TEC), Universiti Kebangsaan Malaysia Medical Centre (UKMMC), 56000, Kuala Lumpur, Cheras, Malaysia.
Gee Jun TyeInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Penang, Minden, Malaysia. geejun@usm.my.ORCID http://orcid.org/0000-0002-6707-9505

Funding

Ministry of Higher Education, Malaysia FRGS/1/2018/SKK08/USM/01/2Ministry of Higher Education, Malaysia HICoE: 311/CIPPM/4401005
6 · The paper itself

Abstract

backgroundAntibodies have proven to be remarkably successful for biomedical applications. They play important roles in epidemiology and medicine from diagnostics of diseases to therapeutics, treating diseases from incessant chronic diseases such as rheumatology to pandemic outbreaks. With no end in sight for the demand for antibody products, optimizations and new techniques must be expanded to accommodate this. METHODS AND

resultsThis review discusses optimizations and techniques for antibody production through choice of discovery platforms, expression systems, cell culture mediums, and other strategies to increase expression yield. Each system has its own merits and demerits, and the strategy chosen is critical in addressing various biological aspects.

conclusionsThere is still insufficient evidence to validate the efficacy of some of these techniques, and further research is needed to consolidate these industrial production systems. There is no doubt that more strategies, systems, and pipelines will contribute to enhance biopharmaceutical production.

Indexed as

AntibodiesProteinsAnimalsMammalsAntibodiesProteinsAntibodyAntibody diagnosticAntibody therapeutic

Identifiers

PMID35674877
PMCPMC9175168

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.