Evidence map›Paper›PMID 22434036›Full record

ArticleJournal of visualized experiments : JoVE2012

Use of interferon-γ enzyme-linked immunospot assay to characterize novel T-cell epitopes of human papillomavirus.

Xuelian Wang, William W Greenfield, Hannah N Coleman, Lindsey E James, Mayumi Nakagawa

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Xuelian WangDepartment of Microbiology and Parasitology, College of Basic Medical Sciences, China Medical University.
William W Greenfield
Hannah N Coleman
Lindsey E James
Mayumi Nakagawa
University of Arkansas for Medical Sciences · USChina Medical University · CN

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029884 · NCRR · UNIV OF ARKANSAS FOR MED SCIS · PI LOWERY, CURTIS L · 2009 to 2011
$11.4M
Understanding and Enhancing T-Cell Responses to High Risk Human Papillomaviruses-RenewalR01CA143130 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI NAKAGAWA, MAYUMI · 2010 to 2025
$10.0M
The University of Arkansas for Medical Sciences Initiative for Maximizing Student Development ProgramR25GM083247 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI MCGEHEE, ROBERT E, THOMAS, BILLY R · 2009 to 2023
$5.4M
NCI NIH HHS R01 CA143130NCRR NIH HHS UL1 RR029884NCRR NIH HHS UL1RR029884NIGMS NIH HHS R25 GM083247
6 · The paper itself

Abstract

A protocol has been developed to overcome the difficulties of isolating and characterizing rare T cells specific for pathogens, such as human papillomavirus (HPV), that cause localized infections. The steps involved are identifying region(s) of HPV proteins that contain T-cell epitope(s) from a subject, selecting for the peptide-specific T cells based on interferon-γ (IFN-γ) secretion, and growing and characterizing the T-cell clones (Fig. 1). Subject 1 was a patient who was recently diagnosed with a high-grade squamous intraepithelial lesion by biopsy and underwent loop electrical excision procedure for treatment on the day the T cells were collected(1). A region within the human papillomavirus type 16 (HPV 16) E6 and E7 proteins which contained a T-cell epitope was identified using an IFN- g enzyme-linked immunospot (ELISPOT) assay performed with overlapping synthetic peptides (Fig. 2). The data from this assay were used not only to identify a region containing a T-cell epitope, but also to estimate the number of epitope specific T cells and to isolate them on the basis of IFN- γ secretion using commercially available magnetic beads (CD8 T-cell isolation kit, Miltenyi Biotec, Auburn CA). The selected IFN-γ secreting T cells were diluted and grown singly in the presence of an irradiated feeder cell mixture in order to support the growth of a single T-cell per well. These T-cell clones were screened using an IFN- γ ELISPOT assay in the presence of peptides covering the identified region and autologous Epstein-Barr virus transformed B-lymphoblastoid cells (LCLs, obtained how described by Walls and Crawford)(2) in order to minimize the number of T-cell clone cells needed. Instead of using 1 x 10(5) cells per well typically used in ELISPOT assays(1,3), 1,000 T-cell clone cells in the presence of 1 x 10(5) autologous LCLs were used, dramatically reducing the number of T-cell clone cells needed. The autologous LCLs served not only to present peptide antigens to the T-cell clone cells, but also to keep a high cell density in the wells allowing the epitope-specific T-cell clone cells to secrete IFN-γ. This assures successful performance of IFN-γ ELISPOT assay. Similarly, IFN- γ ELISPOT assays were utilized to characterize the minimal and optimal amino acid sequence of the CD8 T-cell epitope (HPV 16 E6 52-61 FAFRDLCIVY) and its HLA class I restriction element (B58). The IFN- γ ELISPOT assay was also performed using autologous LCLs infected with vaccinia virus expressing HPV 16 E6 or E7 protein. The result demonstrated that the E6 T-cell epitope was endogenously processed. The cross-recognition of homologous T-cell epitope of other high-risk HPV types was shown. This method can also be used to describe CD4 T-cell epitopes(4).

Indexed as

CD8-Positive T-LymphocytesCell LineEnzyme-Linked Immunospot AssayEpitopes, T-LymphocyteHuman papillomavirus 16HumansInterferon-gammaEpitopes, T-LymphocyteInterferon-gamma

Identifiers

PMID22434036
PMCPMC3460593
OpenAlexW2046243894

What OpenQuestion holds

Textmetadata
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.