Evidence map›Paper›PMID 36516854›Full record

ArticleCell2022

Engineered cell entry links receptor biology with single-cell genomics.

Bingfei Yu, Quanming Shi, Julia A Belk, Kathryn E Yost, Kevin R Parker, Rui Li, Betty B Liu, Huang Huang, Daniel Lingwood, William J Greenleaf and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Receptor-guided AAV Tropism Engineering via MATCH.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. FromImmune network · 2026
    Review
  13. Article
  14. Article
  15. Optogenetic engineering for precision cancer immunotherapy.Trends in pharmacological sciences · 2025
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

13 authors at 3 institutions in 1 country.

Bingfei YuCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Quanming ShiCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Julia A BelkDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kathryn E YostCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Kevin R ParkerCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Rui LiCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Betty B LiuDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Huang HuangDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA.
Daniel LingwoodThe Ragon Institute of Massachusetts General Hospital, The Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
William J GreenleafDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Mark M DavisDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Ansuman T SatpathyDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. Electronic address: howchang@stanford.edu.
Stanford University · USHoward Hughes Medical Institute · USRagon Institute of MGH, MIT and Harvard · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
The effects of immune-age on immune-response and the molecular mechanisms which drive itP01AI153559 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2021 to 2025
$17.8M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
Innate-like BCR activity as a template for universal vaccination against influenza virusR01AI137057 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CHACKERIAN, BRYCE C, LINGWOOD, DANIEL · 2018 to 2022
$2.6M
Triggering germline-encoded broadly neutralizing antibody responses against influenza virusR01AI153098 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BATISTA, FACUNDO DAMIAN, LINGWOOD, DANIEL · 2020 to 2023
$2.1M
Systemic coordination of pro-inflammatory immune reactions through dendritic cell-restricted sIL6R biogenesisR01AI155447 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LINGWOOD, DANIEL · 2021 to 2025
$2.0M
Howard Hughes Medical InstituteNHGRI NIH HHS RM1 HG007735NIAID NIH HHS P01 AI153559NIAID NIH HHS R01 AI137057NIAID NIH HHS R01 AI153098NIAID NIH HHS R01 AI155447NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI057266
6 · The paper itself

Abstract

Cells communicate with each other via receptor-ligand interactions. Here, we describe lentiviral-mediated cell entry by engineered receptor-ligand interaction (ENTER) to display ligand proteins, deliver payloads, and record receptor specificity. We optimize ENTER to decode interactions between T cell receptor (TCR)-MHC peptides, antibody-antigen, and other receptor-ligand pairs. A viral presentation strategy allows ENTER to capture interactions between B cell receptor and any antigen. We engineer ENTER to deliver genetic payloads to antigen-specific T or B cells to selectively modulate cellular behavior in mixed populations. Single-cell readout of ENTER by RNA sequencing (ENTER-seq) enables multiplexed enumeration of antigen specificities, TCR clonality, cell type, and states of individual T cells. ENTER-seq of CMV-seropositive patient blood samples reveals the viral epitopes that drive effector memory T cell differentiation and inter-clonal vs. intra-clonal phenotypic diversity targeting the same epitope. ENTER technology enables systematic discovery of receptor specificity, linkage to cell fates, and antigen-specific cargo delivery.

Indexed as

Receptors, Antigen, T-CellVirus InternalizationBiologyEpitopesGenomicsHumansLigandsPeptidesSingle-Cell AnalysisEpitopesLigandsPeptidesReceptors, Antigen, T-Cellantigen specificityB cell receptorligand-receptor pairssingle-cell multiomicstargeted cargo deliveryT cell receptorviral displayvirus-like particle

Identifiers

PMID36516854
PMCPMC9789208
OpenAlexW4311249164

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.