Evidence map›Paper›PMID 22156844›Full record

ReviewCurrent opinion in HIV and AIDS2012

Deconvolving heterogeneity in the CD8+ T-cell response to HIV.

W Nicholas Haining, R Anthony Barnitz

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

W Nicholas HainingDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA. nicholas_haining@dfci.harvard.edu
R Anthony Barnitz

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
Functional genomic analysis of the CD8 T cell response to HIV vaccines inR01AI091493 · NIAID · DANA-FARBER CANCER INST · PI AHMED, RAFI, HAINING, WILLIAM NICHOLAS · 2010 to 2015
$4.9M
Emory R38 Research Training ProgramR38AI140299 · NIAID · EMORY UNIVERSITY · PI OFOTOKUN, IGHOVWERHA, ROUPHAEL, NADINE GEORGES · 2018 to 2021
$1.4M
NIAID NIH HHS R01 AI091493NIAID NIH HHS R01AI091493NIAID NIH HHS R38 AI140299NIAID NIH HHS U19 AI057266NIAID NIH HHS U19 AI090023
6 · The paper itself

Abstract

purpose of reviewThis review will discuss the use of systems biology approaches to dissect the heterogeneity of the HIV-specific CD8+ T-cell response. RECENT

findingsNew experimental approaches have allowed complex phenotypes of individual cells present in the human antigen-specific CD8+ T-cell response to be characterized. Genome-wide measurements of gene expression in antigen-specific T cells have created broad molecular phenotypes of the T-cell response to HIV. Pattern recognition algorithms to discover new subclasses of samples in microarray datasets are becoming increasingly sophisticated. Together, these advances now allow the heterogeneity of the T-cell response to HIV to be unraveled. SUMMARY: The phenotype of antigen-specific T cells responding to pathogens like HIV in humans is seen as much 'noisier' than in animal models of infection. However, applying new systems biology tools may provide an opportunity to identify the sources of this 'noise' as novel, biologically distinct subclasses of the CD8+ T-cell response to HIV.

Indexed as

Antigens, ViralCD8-Positive T-LymphocytesHIVHumansImmunophenotypingMicroarray AnalysisSystems BiologyAntigens, Viral

Identifiers

PMID22156844
PMCPMC3291178

What OpenQuestion holds

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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.