Evidence map›Paper›PMID 39342619›Full record

ArticleSTAR protocols2024

Protocol for generating human CAR-engineered macrophages by Vpx-containing lentivirus.

Yun Gao, Xiaobin Fang, Luo Zhang, Xiushan Yin

Abstract read
In one paragraph

Article in STAR protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. CAR-macrophages: a new chapter in cancer immunotherapy.Acta biochimica et biophysica Sinica · 2026
    Article
  2. Innate immune cells in chimeric antigen receptor therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
  3. Review
  4. CAR-Macrophage Cell Therapy: A New Era of Hope for Pancreatic Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  5. Review
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

4 authors.

Yun GaoRocRock Biotechnology (Suzhou), Suzhou 215000, China.
Xiaobin FangRocRock Biotechnology (Suzhou), Suzhou 215000, China.
Luo ZhangResearch Center of Bioengineering, the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing 100853, China. Electronic address: marbleluo@126.com.
Xiushan YinRocRock Biotechnology (Suzhou), Suzhou 215000, China. Electronic address: xiushanyin@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-derived macrophages are notoriously difficult to infect with HIV-1-based lentiviruses, posing a limitation to the advancement of chimeric antigen receptor macrophage (CAR-M) therapy. Here, we present a protocol for generating human chimeric antigen receptor (CAR)-engineered macrophages using the viral protein Vpx (encoded by the Sooty Mangabey simian immunodeficiency virus [SIV] and HIV-2 lineages) incorporated into the lentivirus vector, which enhances infection efficiency. We describe steps for cell cultivation, lentivirus production, concentration, infection procedures, and efficiency assessments. This protocol provides a foundation to study macrophage manipulation, especially with CAR or other immune engagers. For complete details on the use and execution of this protocol, please refer to Gao et al.

Indexed as

LentivirusMacrophagesReceptors, Chimeric AntigenViral Regulatory and Accessory ProteinsAnimalsCell Culture TechniquesGenetic VectorsHumansSimian Immunodeficiency VirusReceptors, Chimeric AntigenViral Regulatory and Accessory ProteinsVPX protein, Simian immunodeficiency virusCancerCell BiologyCell cultureCell isolation

Identifiers

PMID39342619
PMCPMC11735994

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.