Evidence map›Paper›PMID 21810083›Full record

ArticleTissue antigens2011

Killer-cell immunoglobulin-like receptor genotyping and HLA killer-cell immunoglobulin-like receptor-ligand identification by real-time polymerase chain reaction.

H A Hong, A S Loubser, D de Assis Rosa, V Naranbhai, W Carr, M Paximadis, D A Lewis, C T Tiemessen, C M Gray

Abstract read
In one paragraph

Article in Tissue antigens, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 22 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

9 authors at 5 institutions in 2 countries.

H A HongAIDS Virus Research Unit, National Institute for Communicable Diseases, National Health Laboratory Services, Johannesburg, South Africa.
A S Loubser
D de Assis Rosa
V Naranbhai
W Carr
M Paximadis
D A Lewis
C T Tiemessen
C M Gray
National Health Laboratory Service · ZAUniversity of the Witwatersrand · ZACentre for the AIDS Programme of Research in South Africa · ZAGroote Schuur Hospital · ZARagon Institute of MGH, MIT and Harvard · US

Funding

The Viral Set Point in HIV-1 Subtype C InfectionU19AI051794 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI ABDOOL KARIM, SALIM S · 2002 to 2007
$22.5M
AIDS-Restrictive Innate Immune MechanismsK01TW007793 · FIC · MASSACHUSETTS GENERAL HOSPITAL · PI CARR, WILLIAM H · 2008 to 2011
$489k
FIC NIH HHS K01-TW00703-03FIC NIH HHS K01 TW007793NIAID NIH HHS U19 AI051794
6 · The paper itself

Abstract

The effector function of natural killer (NK) cells is modulated by surface expression of a range of killer-cell immunoglobulin-like receptors (KIRs) that interact with human leukocyte antigen (HLA) class I ligands. We describe the use of real-time polymerase chain reaction (PCR) assays that allow easy and quick detection of 16 KIR genes and the presence/absence of KIR-ligands based on allelic discrimination at codon 80 in the HLA-A/B Bw4 and HLA-C C1/C2 genes. These methods overcome the tedious and expensive nature of conventional KIR genotyping and HLA class I typing using sequence-specific primer (SSP) PCR, sequence-specific oligonucleotide (SSO) hybridization or sequence-based typing (SBT). Using these two cost-effective assays, we measured the frequencies of KIRs, KIR-ligands and KIR/KIR-ligand pairs in a cohort of Black women recruited in South Africa.

Indexed as

DNADNA PrimersGenotypeHLA AntigensHumansReal-Time Polymerase Chain ReactionReceptors, KIRDNADNA PrimersHLA AntigensReceptors, KIR

Identifiers

PMID21810083
PMCPMC3150492
OpenAlexW2121540673

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.