Evidence map›Paper›PMID 35732994›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

TCR and CAR Engineering of Primary Human T Cells.

Inan Edes, Julian Clauss, Rainer Stahn, Alberto Sada Japp, Felix K M Lorenz

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. TCRJournal of clinical medicine · 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

5 authors at 1 institution in 1 country.

Inan EdesMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany. inan.edes@mdc-berlin.de.
Julian ClaussMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Rainer StahnMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Alberto Sada JappMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Felix K M LorenzMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Max Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficient expression of T-cell receptors (TCRs) or chimeric antigen receptors (CARs) in primary human T cells is crucial for preclinical testing of receptor properties for adoptive T-cell therapies. Multiple streams of technological platforms have been developed in the recent decades to genetically modify primary T cells including nonviral platforms such as transposon-based systems (PiggyBac, Sleeping Beauty), TALENs, or CRISPR-Cas9). The production of CAR- or TCR-encoding retroviral vectors, however, is still the most commonly used technique both in preclinical as well as in clinical settings.In this chapter we describe a comprehensive 12-day protocol for (a) generating high-titered gamma-retroviral vector particles containing the transgene of interest (e.g., TCR , CAR ), (b) the isolation, activation and rapid expansion of primary T cells and (c) the stable genetic engineering of these T cells with the transgene for subsequent characterization.

Indexed as

Receptors, Chimeric AntigenGenetic VectorsHumansImmunotherapy, AdoptiveReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-CellReceptors, Chimeric AntigenChimeric antigen receptorGamma-retrovirusGenetic engineeringPrimary human T cellsRetroviral vectorT-cell receptorTransductionTransfection

Identifiers

PMID35732994
OpenAlexW4285167866

What OpenQuestion holds

Textmetadata
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.