Evidence map›Paper›PMID 17039361›Full record

ArticleImmunogenetics2006

Characterization of swine leukocyte antigen polymorphism by sequence-based and PCR-SSP methods in Meishan pigs.

Chak-Sum Ho, Erin S Rochelle, Gregory W Martens, Lawrence B Schook, Douglas M Smith

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In one paragraph

Article in Immunogenetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 49 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 3 institutions in 1 country.

Chak-Sum HoTransplant Immunology Laboratory, Department of Pathology, Baylor University Medical Center, 3500 Gaston Avenue, Dallas, TX 75246, USA.
Erin S Rochelle
Gregory W Martens
Lawrence B Schook
Douglas M Smith
Baylor University Medical Center · USUniversity of Illinois Urbana-Champaign · USBaylor University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resource herds of swine leukocyte antigen (SLA)-characterized pigs are an important tool for the study of immune responses, disease resistance, and production traits. They are also valuable large animal models for biomedical research, such as transplantation. The Meishan breed of pig is an economically significant breed that is available at several research institutions in the United States. We have characterized the SLA polymorphism of the breeding stock in the herd maintained at the University of Illinois and developed a simple assay to SLA type individuals within that herd. We have used a reverse transcription-polymerase chain reaction (RT-PCR)-based SLA typing method to clone and DNA sequence 19 SLA alleles at three SLA class Ia (SLA-1, SLA-2, and SLA-3) and two SLA class II (SLA-DRB1 and SLA-DQB1) loci. Based on this sequence information, a rapid SLA typing assay was developed to discriminate each allele using PCR with sequence-specific primers (PCR-SSP). Using this method, we were able to characterize the entire Meishan breeding stock and identify four SLA haplotypes present in the herd. The combination of SLA typing by cloning and DNA sequencing with PCR-SSP is therefore a valuable tool for the characterization of SLA alleles and haplotypes in resource herds of pigs.

Indexed as

Polymorphism, GeneticAnimalsBase SequenceDNAGene FrequencyHaplotypesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIMolecular Sequence DataPedigreePolymerase Chain ReactionSwineDNAHistocompatibility Antigens Class IHistocompatibility Antigens Class IIswine leukocyte antigen

Identifiers

PMID17039361
OpenAlexW2170320858

What OpenQuestion holds

Textmetadata
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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.