Evidence map›Paper›PMID 19277110›Full record

ArticlePloS one2009

Transcript-specific expression profiles derived from sequence-based analysis of standard microarrays.

Anton G Moll, Maja T Lindenmeyer, Matthias Kretzler, Peter J Nelson, Ralf Zimmer, Clemens D Cohen

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2009. 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
1.5field-weighted citation impact, top 19% 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, 21 citations in OpenAlex.

  1. Biochemistry and biophysics reports · 2023
    Article
  2. Article
  3. Article
  4. A Transcriptional Map of the Renal Tubule: Linking Structure to Function.Journal of the American Society of Nephrology : JASN · 2015
    Article
  5. Article
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  7. A novel PCR-based approach to discover miRNA target genes.International journal of medical sciences · 2014
    Article
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  10. Review
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  12. Article
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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

6 authors at 3 institutions in 3 countries.

Anton G MollInstitute of Physiology and Clinic for Nephrology, University of Zürich, Zürich, Switzerland.
Maja T Lindenmeyer
Matthias Kretzler
Peter J Nelson
Ralf Zimmer
Clemens D Cohen
Ludwig-Maximilians-Universität München · DEUniversity of Zurich · CHUniversity of Michigan–Ann Arbor · US

Funding

Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Molecular Progression Predictors in the Chronic Renal Insufficiency CohortR01DK079912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2008 to 2012
$2.8M
NIDA NIH HHS U54 DA021519NIDA NIH HHS U54-DA021519NIDDK NIH HHS R01 DK079912
6 · The paper itself

Abstract

backgroundAlternative mRNA processing mechanisms lead to multiple transcripts (i.e. splice isoforms) of a given gene which may have distinct biological functions. Microarrays like Affymetrix GeneChips measure mRNA expression of genes using sets of nucleotide probes. Until recently probe sets were not designed for transcript specificity. Nevertheless, the re-analysis of established microarray data using newly defined transcript-specific probe sets may provide information about expression levels of specific transcripts. METHODOLOGY/PRINCIPAL

findingsIn the present study alignment of probe sequences of the Affymetrix microarray HG-U133A with Ensembl transcript sequences was performed to define transcript-specific probe sets. Out of a total of 247,965 perfect match probes, 95,008 were designated "transcript-specific", i.e. showing complete sequence alignment, no cross-hybridization, and transcript-, not only gene-specificity. These probes were grouped into 7,941 transcript-specific probe sets and 15,619 gene-specific probe sets, respectively. The former were used to differentiate 445 alternative transcripts of 215 genes. For selected transcripts, predicted by this analysis to be differentially expressed in the human kidney, confirmatory real-time RT-PCR experiments were performed. First, the expression of two specific transcripts of the genes PPM1A (PP2CA_HUMAN and P35813) and PLG (PLMN_HUMAN and Q5TEH5) in human kidneys was determined by the transcript-specific array analysis and confirmed by real-time RT-PCR. Secondly, disease-specific differential expression of single transcripts of PLG and ABCA1 (ABCA1_HUMAN and Q5VYS0_HUMAN) was computed from the available array data sets and confirmed by transcript-specific real-time RT-PCR.

conclusionsTranscript-specific analysis of microarray experiments can be employed to study gene-regulation on the transcript level using conventional microarray data. In this study, predictions based on sufficient probe set size and fold-change are confirmed by independent means.

Indexed as

Oligonucleotide Array Sequence AnalysisTranscription, GeneticATP Binding Cassette Transporter 1ATP-Binding Cassette TransportersCohort StudiesDiabetic NephropathiesDNA ProbesGene Expression ProfilingHumansKidneyKidney TransplantationPhosphoprotein PhosphatasesPlasminogenProtein Phosphatase 2CReverse Transcriptase Polymerase Chain ReactionRNA, MessengerABCA1 protein, humanATP Binding Cassette Transporter 1ATP-Binding Cassette TransportersDNA ProbesPhosphoprotein PhosphatasesPlasminogenPPM1A protein, humanProtein Phosphatase 2CRNA, Messenger

Identifiers

PMID19277110
PMCPMC2650090
OpenAlexW2063452674

What OpenQuestion holds

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LicenceCC BY
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.