ArticleMethods in molecular biology (Clifton, N.J.)2023
In Vivo Tracking of Dendritic Cell Migration.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dendritic cells (DCs) in peripheral tissue serve as a sentinel to invasion and maintain tolerance. They ingest and carry antigens to the draining lymph nodes and present antigens to antigen-specific T cells to initiate acquired immune responses. Thus, understanding DC migration from peripheral tissues and function is critical for understanding DCs' roles in immune homeostasis. Here, we introduced the KikGR in vivo photolabeling system, an ideal tool for monitoring precise cellular movements and related functions in vivo under physiological conditions and during various immune responses that occur in pathologic condition. Using a mouse line expressing photoconvertible fluorescent protein KikGR, we can label DCs in peripheral tissues by changing the color of KikGR from green to red after exposure to violet light and accurately track DC migration from each peripheral tissue to its respective draining lymph nodes.
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Registered trials
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.