Evidence map›Paper›PMID 18835849›Full record

ArticleNucleic acids research2008

The application of real-time PCR to the analysis of T cell repertoires.

Peter Wettstein, Michael Strausbauch, Terry Therneau, Nancy Borson

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Vitamin C promotes maturation of T-cells.Antioxidants & redox signaling · 2013
    Article
  7. Article
  8. Article
  9. 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

4 authors at 2 institutions in 1 country.

Peter WettsteinDepartment of Immunology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. wettstein.peter@mayo.edu
Michael Strausbauch
Terry Therneau
Nancy Borson
Mayo Clinic · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity of T-cell populations is determined by the spectrum of antigen-specific T-cell receptors (TCRs) that are heterodimers of alpha and beta subunits encoded by rearranged combinations of variable (AV and BV), joining (AJ and BJ), and constant region genes (AC and BC). We have developed a novel approach for analysis of beta transcript diversity in mice with a real-time PCR-based method that uses a matrix of BV- and BJ-specific primers to amplify 240 distinct BV-BJ combinations. Defined endpoints (Ct values) and dissociation curves are generated for each BV-BJ combination and the Ct values are consolidated in a matrix that characterizes the beta transcript diversity of each RNA sample. Relative diversities of BV-BJ combinations in individual RNA samples are further described by estimates of scaled entropy. A skin allograft system was used to demonstrate that dissection of repertoires into 240 BV-BJ combinations increases efficiency of identifying and sequencing beta transcripts that are overrepresented at inflammatory sites. These BV-BJ matrices should generate greater investigation in laboratory and clinical settings due to increased throughput, resolution and identification of overrepresented TCR transcripts.

Indexed as

Gene Rearrangement, beta-Chain T-Cell Antigen ReceptorAnimalsGenetic VariationGraft RejectionMiceMice, Inbred C57BLMice, Inbred NODReceptors, Antigen, T-Cell, alpha-betaReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSkin TransplantationTemplates, GeneticT-LymphocytesReceptors, Antigen, T-Cell, alpha-betaRNA, Messenger

Identifiers

PMID18835849
PMCPMC2588499
OpenAlexW2127057690

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.