Evidence map›Paper›PMID 30009534›Full record

ArticleBiotechnology progress2018

A novel mammalian cell line development platform utilizing nanofluidics and optoelectro positioning technology.

Kim Le, Christopher Tan, Shivani Gupta, Trupti Guhan, Hedieh Barkhordarian, Jonathan Lull, Jennitte Stevens, Trent Munro

Abstract read
In one paragraph

Article in Biotechnology progress, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  13. Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs).Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Screening Strategies for High-Yield Chinese Hamster Ovary Cell Clones.Frontiers in bioengineering and biotechnology · 2022
    Review
  15. Review
  16. Article
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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

8 authors.

Kim LeDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.ORCID 0000-0001-6626-5202
Christopher TanDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.
Shivani GuptaDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.
Trupti GuhanDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.
Hedieh BarkhordarianDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.ORCID 0000-0002-8965-7580
Jonathan LullDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.
Jennitte StevensDrug Substance Technologies, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.ORCID 0000-0002-4081-4696
Trent MunroAttribute Sciences, Process Development, Amgen Inc., Thousand Oaks, CA, 91320.ORCID 0000-0003-1987-2020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generating a highly productive cell line is resource intensive and typically involves long timelines because of the need to screen large numbers of candidates in protein production studies. This has led to miniaturization and automation strategies to allow for reductions in resources and higher throughput. Current approaches rely on the use of standard cell culture vessels and bulky liquid handling equipment. New nanofludic technologies offer novel solutions to surpass these limits, further miniaturizing cell culture volumes (10

Indexed as

Batch Cell Culture TechniquesBioreactorsMicrofluidic Analytical TechniquesNanotechnologyautomationCell line developmentnanofluidics

Identifiers

PMID30009534
PMCPMC6585769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.