Evidence map›Paper›PMID 40341808›Full record

ArticleAdvanced healthcare materials2025

Geometric Adjustment of T Cell-Sensitive Nanorobots for Enhanced Stability.

Yoojin Lee, Dahae Kim, Taihyun Kim, Chae-Won Moon, Hyungseok Yong, Sung-Eun Heo, Bumgyu Choi, Yoogyeong Oh, Woojin Choi, Kyungtae Park and 2 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

12 authors.

Yoojin LeeDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Dahae KimDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Taihyun KimDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Chae-Won MoonDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Hyungseok YongDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Sung-Eun HeoDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Bumgyu ChoiDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Yoogyeong OhDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Woojin ChoiDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Kyungtae ParkDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Sang-Jun HaDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Jinkee HongDepartment of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.ORCID 0000-0003-3243-8536

Funding

Korea Health Industry Development InstituteKorea US Collaborative Research Fund RS-2024-00468036Ministry of Health & Welfare, Republic of Korea RS-2024-00437312National Research Foundation of Korea RS-2024-00354178
6 · The paper itself

Abstract

Personalized dendritic cell (DC) based vaccines offer promising immunotherapeutic approaches for cancers and infectious diseases by leveraging living DCs to stimulate a patient's immune system through interactions with T cells. However, conventional DC-based vaccines face significant challenges, including limited stability and short storage lifespan of the living cells. To overcome these limitations, smart artificial nanorobots, termed nano-bone marrow dendritic cell (BMDC)-originated T cell activators (nano-BOTs) are developed by incorporating 1-dimensional (1D) nanoparticles to enhance stability and activation efficacy. The use of 1D nanoparticles enables precise modulation of the geometric properties, resulting in significantly improved interactions with effector T cells. This innovative approach addresses the inherent limitations of traditional DC-based vaccines and amplifies their ability to activate effector T cells. The advanced nanorobots exhibit exceptional stability and therapeutic potential, representing a transformative step toward personalized DC-based vaccines in future biological therapeutics.

Indexed as

Cancer VaccinesDendritic CellsImmunotherapyNanotechnologyRoboticsAnimalsCD8-Positive T-LymphocytesFemaleHumansMiceMice, Inbred BALB CMice, Inbred C57BLPhagocytesRAW 264.7 CellsSpecific Pathogen-Free OrganismsT-LymphocytesCancer Vaccinesdendritic cellimmortalized artificial nanorobotsimmune clearancestorage stabilityT cell activation

Identifiers

PMID40341808
PMCPMC12147988

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.