Evidence map›Paper›PMID 29313024›Full record

ReviewBioengineering & translational medicine2017

Evolving trends in mAb production processes.

Abhinav A Shukla, Leslie S Wolfe, Sigma S Mostafa, Carnley Norman

Abstract readReview
In one paragraph

Review in Bioengineering & translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Article
  7. Article
  8. Enhancement of Structural Stability and IgG Affinity of aAntibodies (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Antibody Aggregate Removal by Multimodal Chromatography.Molecules (Basel, Switzerland) · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

10 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

4 authors.

Abhinav A ShuklaProcess Development & Manufacturing KBI Biopharma Inc.Durham NC 27704.
Leslie S WolfeProcess Development & Manufacturing KBI Biopharma Inc.Durham NC 27704.
Sigma S MostafaProcess Development & Manufacturing KBI Biopharma Inc.Durham NC 27704.
Carnley NormanProcess Development & Manufacturing KBI Biopharma Inc.Durham NC 27704.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) have established themselves as the leading biopharmaceutical therapeutic modality. The establishment of robust manufacturing platforms are key for antibody drug discovery efforts to seamlessly translate into clinical and commercial successes. Several drivers are influencing the design of mAb manufacturing processes. The advent of biosimilars is driving a desire to achieve lower cost of goods and globalize biologics manufacturing. High titers are now routinely achieved for mAbs in mammalian cell culture. These drivers have resulted in significant evolution in process platform approaches. Additionally, several new trends in bioprocessing have arisen in keeping with these needs. These include the consideration of alternative expression systems, continuous biomanufacturing and non-chromatographic separation formats. This paper discusses these drivers in the context of the kinds of changes they are driving in mAb production processes.

Indexed as

biosimilarsbispecific antibodiescontinuous bioprocessingFc fusion proteinshigh titer cell culturemonoclonal antibodiesnext generation monoclonal antibodiesnonchromatographic separationsplatform processprocess development

Identifiers

PMID29313024
PMCPMC5689530

What OpenQuestion holds

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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.