Evidence map›Paper›PMID 28711155›Full record

ReviewTrends in biotechnology2017

Manufacturing Cell Therapies Using Engineered Biomaterials.

Amr A Abdeen, Krishanu Saha

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Biomaterials for Cell Manufacturing.ACS macro letters · 2024
    Article
  6. Advanced Technologies for Potency Assay Measurement.Advances in experimental medicine and biology · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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

2 authors.

Amr A AbdeenWisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.
Krishanu SahaWisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical History and Bioethics, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: ksaha@wisc.edu.

Funding

Assembly of Novel Gene Editing Particles to Understand Genome Surgery in Patient-Derived CellsR35GM119644 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SAHA, KRISHANU · 2016 to 2025
$4.0M
NIGMS NIH HHS R35 GM119644
6 · The paper itself

Abstract

Emerging manufacturing processes to generate regenerative advanced therapies can involve extensive genomic and/or epigenomic manipulation of autologous or allogeneic cells. These cell engineering processes need to be carefully controlled and standardized to maximize safety and efficacy in clinical trials. Engineered biomaterials with smart and tunable properties offer an intriguing tool to provide or deliver cues to retain stemness, direct differentiation, promote reprogramming, manipulate the genome, or select functional phenotypes. This review discusses the use of engineered biomaterials to control human cell manufacturing. Future work exploiting engineered biomaterials has the potential to generate manufacturing processes that produce standardized cells with well-defined critical quality attributes appropriate for clinical testing.

Indexed as

AnimalsBiocompatible MaterialsCell- and Tissue-Based TherapyCell EngineeringClinical Trials as TopicHumansBiocompatible Materialsbiomanufacturingbiomaterialscell therapiesgene editingimmunotherapyregenerative medicinereprogrammingstem cells

Identifiers

PMID28711155
PMCPMC5621598

What OpenQuestion holds

Textmetadata
LicenceTDM
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.