Evidence map›Paper›PMID 27924602›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Genome-Wide Analysis of Periodontal and Peri-Implant Cells and Tissues.

Moritz Kebschull, Claudia Hülsmann, Per Hoffmann, Panos N Papapanou

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 3 institutions in 3 countries.

Moritz KebschullDepartment of Periodontology, Operative and Preventive Dentistry, Faculty of Medicine, University of Bonn, Welschnonnenstr. 17, Bonn, D-53111, Germany. moritz.kebschull@uni-bonn.de.
Claudia HülsmannDepartment of Periodontology, Operative and Preventive Dentistry, Faculty of Medicine, University of Bonn, Welschnonnenstr. 17, Bonn, D-53111, Germany.
Per HoffmannDepartment of Genomics, Institute of Human Genetics, University of Bonn, Bonn, Germany.
Panos N PapapanouDivision of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, Columbia University College of Dental Medicine, New York, NY, USA.
University of Bonn · DEColumbia University · USUniversity of Basel · CH

Funding

Gene Expression in Chronic and Aggressive PeriodontitisR01DE015649 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PAPAPANOU, PANOS N · 2004 to 2006
$1.8M
Genomic approaches to the pathobiology and classification of periodontitisR03DE024735 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PAPAPANOU, PANOS N · 2015 to 2016
$480k
MicroRNA expression in gingival tissues in periodontal health and diseaseR21DE021820 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PAPAPANOU, PANOS N · 2012 to 2013
$432k
NIDCR NIH HHS R01 DE015649NIDCR NIH HHS R03 DE024735NIDCR NIH HHS R21 DE021820
6 · The paper itself

Abstract

Omics analyses, including the systematic cataloging of messenger RNA and microRNA sequences or DNA methylation patterns in a cell population, organ or tissue sample, are powerful means of generating comprehensive genome-level data sets on complex diseases. We have systematically assessed the transcriptome, miRNome and methylome of gingival tissues from subjects with different diagnostic entities of periodontal disease, and studied the transcriptome of primary cells ex vivo, or in vitro after infection with periodontal pathogens. Our data further our understanding of the pathobiology of periodontal diseases and indicate that the gingival -omes translate into discernible phenotypic characteristics and possibly support an alternative, "molecular" classification of periodontitis.Here, we outline the laboratory steps required for the processing of periodontal cells and tissues for -omics analyses using current microarrays or next-generation sequencing technology.

Indexed as

Genome-Wide Association StudyCells, CulturedDNA MethylationEpigenomicsGene Expression ProfilingGingivaHigh-Throughput Nucleotide SequencingHumansLeukocytes, MononuclearPeriodontal DiseasesTranscriptomeDNA methylationGene expressionGingivaMicroarrayMicroRNANext-generation sequencingPeriodontal diseaseTranscriptome

Identifiers

PMID27924602
PMCPMC6554644
OpenAlexW2560447621

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.