Evidence map›Paper›PMID 35657072›Full record

ArticleAdvanced healthcare materials2022

Microfluidic T Cell Selection by Cellular Avidity.

Julian F Ashby, Julien Schmidt, Neelima Kc, Armand Kurum, Caroline Koch, Alexandre Harari, Li Tang, Sam H Au

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Unbiased avidity-based isolation of antigen-specific T cells.Journal for immunotherapy of cancer · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Microfluidic T Cell Selection by Cellular Avidity.Advanced healthcare materials · 2022
    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

8 authors at 4 institutions in 2 countries.

Julian F AshbyDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Julien SchmidtDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland.
Neelima KcDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Armand KurumInstitute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.
Caroline KochDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Alexandre HarariDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland.
Li TangInstitute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.
Sam H AuDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-3411-3145
Imperial College London · GBÉcole Polytechnique Fédérale de Lausanne · CHLudwig Cancer Research · CHCancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No T cell receptor (TCR) T cell therapies have obtained clinical approval. The lack of strategies capable of selecting and recovering potent T cell candidates may be a contributor to this. Existing protocols for selecting TCR T cell clones for cell therapies such as peptide multimer methods have provided effective measurements on TCR affinities. However, these methods lack the ability to measure the collective strength of intercellular interactions (i.e., cellular avidity) and markers of T cell activation such as immunological synapse formation. This study describes a novel microfluidic fluid shear stress-based approach to identify and recover highly potent T cell clones based on the cellular avidity between living T cells and tumor cells. This approach is capable of probing approximately up to 10 000 T cell-tumor cell interactions per run and can recover potent T cells with up to 100% purity from mixed populations of T cells within 30 min. Markers of cytotoxicity, activation, and avidity persist when recovered high cellular avidity T cells are subsequently exposed to fresh tumor cells. These results demonstrate how microfluidic probing of cellular avidity may fast track the therapeutic T cell selection process and move the authors closer to precision cancer immunotherapy.

Indexed as

MicrofluidicsReceptors, Antigen, T-CellLymphocyte ActivationPeptidesT-LymphocytesPeptidesReceptors, Antigen, T-Cellaviditycytotoxicityimmunotherapymicrofluidicsshear stresssynapsesT cell receptors

Identifiers

PMID35657072
PMCPMC11468699
OpenAlexW4281611167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.