Evidence map›Paper›PMID 21900529›Full record

ArticleClinical and vaccine immunology : CVI2011

Development of an automated and multiplexed serotyping assay for Streptococcus pneumoniae.

Jigui Yu, Jisheng Lin, Kyung-Hyo Kim, William H Benjamin, Moon H Nahm

Abstract readEvaluation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Accurate serotype identification ofJournal of clinical microbiology · 2026
    Article
  2. Review
  3. Article
  4. An abundance ofMicrobiology (Reading, England) · 2025
    Article
  5. Genome sequences of 36Microbiology resource announcements · 2024
    Article
  6. Diagnostic applications of microsphere-based flow cytometry: A review.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
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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.

Jigui YuDepartment of Pathology, University of Alabama at Birmingham, BBRB 614, 1530 Third Avenue South, Birmingham, AL 35294-2170, USA.
Jisheng Lin
Kyung-Hyo Kim
William H Benjamin
Moon H Nahm

Funding

NIAID NIH HHS N01 AI030021
6 · The paper itself

Abstract

Streptococcus pneumoniae expresses more than 90 capsule types, and currently available pneumococcal vaccines are designed to provide serotype-specific protection. Consequently, serotyping of pneumococcal isolates is important for determining the serotypes to be included in pneumococcal vaccines and to monitor their efficacy. Yet serotyping of pneumococcal isolates has remained a significant technical challenge. By multiplexing many assays, we have now developed a simple yet comprehensive serotyping assay system that can not only identify all known pneumococcal serotypes but also subdivide nontypeable (NT) isolates into those with or without the conventional capsule locus. We have developed this assay system to require only six key reagents: two are used in one multiplex inhibition-type immunoassay, and four are required in two multiplex PCR-based assays. The assay system is largely automated by a seamless combination of monoclonal antibody-based and PCR-based multiplex assays using the flow cytometric bead array technology from Luminex. The assay system has been validated with a panel of pneumococci expressing all known pneumococcal serotypes and was found to be easily transferable to another laboratory.

Indexed as

Antibodies, MonoclonalAutomationFlow CytometryHumansPneumococcal InfectionsPolymerase Chain ReactionSerotypingStreptococcus pneumoniaeAntibodies, Monoclonal

Identifiers

PMID21900529
PMCPMC3209018

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.