Evidence map›Paper›PMID 35199038›Full record

ArticleSTAR protocols2022

High-dimensional functional phenotyping of preclinical human CAR T cells using mass cytometry.

Ilaria M Michelozzi, Jahangir Sufi, Thomas A Adejumo, Persis J Amrolia, Christopher J Tape, Alice Giustacchini

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Ilaria M MichelozziMolecular and Cellular Immunology Section, UCL Great Ormond Street Institute of Child Health, Zayed Centre For Research into Rare Disease in Children, WC1N 1DZ London, UK.
Jahangir SufiCell Communication Lab, Department of Oncology, University College London Cancer Institute, WC1E 6DD London, UK.
Thomas A AdejumoFluidigm Corporation, South San Francisco, CA, USA.
Persis J AmroliaMolecular and Cellular Immunology Section, UCL Great Ormond Street Institute of Child Health, Zayed Centre For Research into Rare Disease in Children, WC1N 1DZ London, UK.
Christopher J TapeCell Communication Lab, Department of Oncology, University College London Cancer Institute, WC1E 6DD London, UK.
Alice GiustacchiniMolecular and Cellular Immunology Section, UCL Great Ormond Street Institute of Child Health, Zayed Centre For Research into Rare Disease in Children, WC1N 1DZ London, UK.
Great Ormond Street Hospital · GBLondon Cancer · GB

Funding

Cancer Research UK 23783Cancer Research UK 29812Department of Health
6 · The paper itself

Abstract

Here, we present a comprehensive protocol for the generation and functional characterization of chimeric antigen receptor (CAR) T cells and their products by mass cytometry in a reproducible and scalable manner. We describe the production of CAR T cells from human peripheral blood mononuclear cells. We then detail a three-step staining protocol with metal-labeled antibodies and the subsequent mass cytometry analysis. This protocol allows simultaneous characterization of CAR T cell intracellular signaling, activation, proliferation, cytokine production, and phenotype in a single assay.

Indexed as

Leukocytes, MononuclearT-LymphocytesAntibodiesHumansAntibodiesCell BiologyCell cultureCell isolationFlow Cytometry/Mass CytometryHealth SciencesImmunologySingle Cell

Identifiers

PMID35199038
PMCPMC8844283
OpenAlexW4211251532

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.