Evidence map›Paper›PMID 18297056›Full record

ArticleNature biotechnology2008

Engineered lentivector targeting of dendritic cells for in vivo immunization.

Lili Yang, Haiguang Yang, Kendra Rideout, Taehoon Cho, Kye Il Joo, Leslie Ziegler, Abigail Elliot, Anthony Walls, Dongzi Yu, David Baltimore and 1 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
14.9field-weighted citation impact, top 1% 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

125 citing papers in PubMed, 203 citations in OpenAlex.

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65 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 1 country.

Lili YangDivision of Biology, California Institute of Technology, 1200 E. California Blvd, Pasadena, California 91125, USA.
Haiguang Yang
Kendra Rideout
Taehoon Cho
Kye Il Joo
Leslie Ziegler
Abigail Elliot
Anthony Walls
Dongzi Yu
David Baltimore
Pin Wang
University of Southern California · USCalifornia Institute of Technology · US

Funding

Targeting lentiviruses to infect chosen cellsR01AI068978 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, PIN · 2006 to 2010
$2.9M
NIAID NIH HHS R01 AI068978NIAID NIH HHS R01AI068978
6 · The paper itself

Abstract

We report a method of inducing antigen production in dendritic cells by in vivo targeting with lentiviral vectors that specifically bind to the dendritic cell-surface protein DC-SIGN. To target dendritic cells, we enveloped the lentivector with a viral glycoprotein from Sindbis virus engineered to be DC-SIGN-specific. In vitro, this lentivector specifically transduced dendritic cells and induced dendritic cell maturation. A high frequency (up to 12%) of ovalbumin (OVA)-specific CD8(+) T cells and a significant antibody response were observed 2 weeks after injection of a targeted lentiviral vector encoding an OVA transgene into naive mice. This approach also protected against the growth of OVA-expressing E.G7 tumors and induced regression of established tumors. Thus, lentiviral vectors targeting dendritic cells provide a simple method of producing effective immunity and may provide an alternative route for immunization with protein antigens.

Indexed as

AnimalsB-LymphocytesCancer VaccinesCD8-Positive T-LymphocytesCell Adhesion MoleculesCell LineDC-Specific ICAM-3 Grabbing NonintegrinDendritic CellsFemaleGene ExpressionGenetic VectorsHumansLectins, C-TypeLentivirusMiceMice, Inbred C57BLCancer VaccinesCell Adhesion MoleculesDC-Specific ICAM-3 Grabbing NonintegrinLectins, C-TypeOvalbuminReceptors, Cell Surface

Identifiers

PMID18297056
PMCPMC2366162
OpenAlexW2074713417

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.