Evidence map›Paper›PMID 20668881›Full record

ArticleHuman genetics2010

A biopsy sample reduction approach to identify significant alterations of the testicular transcriptome in the presence of Y-chromosomal microdeletions that are independent of germ cell composition.

Heike Cappallo-Obermann, Kathrein von Kopylow, Wolfgang Schulze, Andrej-Nikolai Spiess

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2010. 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
0.9field-weighted citation impact, top 22% 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, 15 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Heike Cappallo-ObermannDepartment of Andrology, University Hospital Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Kathrein von Kopylow
Wolfgang Schulze
Andrej-Nikolai Spiess
Universität Hamburg · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Y-chromosomal microdeletions (YCMD) are the major genetic cause of male infertility. To date, it is not known which global changes are induced by the presence of AZFc or AZFb+c deletions in the human testicular transcriptome. We investigated this question by microarray analysis in which we had to eliminate the 'germ cell effect', i.e., the dominating effect of germ cell transcripts due to the quantitative difference in germ cell composition in samples with/without YCMD. This problem was tackled by selecting 26 samples from an initial cohort of 34 samples by their homogeneity in respect to cellular composition as obtained from gene expression clustering. This way, the 'germ cell effect' was minimized, and a distinct 'deletion effect' became more apparent. Several hundred genes are influenced by YCMD as shown on the three different phenotypes hypospermatogenesis, meiotic arrest, and Sertoli-cell only syndrome. We validated on an independent cohort of samples five genes by quantitative real-time PCR that are expressed in germ cells or the somatic compartment and which are exclusively altered by the presence of YCMD. We conclude that the deletion of Y-chromosomal genes has a significant effect on spermatogenesis by modulating the transcriptional network of the germ cell and somatic compartment.

Indexed as

Chromosome DeletionGene Expression ProfilingBiopsyChromosomes, Human, YCluster AnalysisCohort StudiesGenetic LociGerm CellsHumansInfertility, MaleMaleMeiosisOligonucleotide Array Sequence AnalysisSeminal Plasma ProteinsSertoli Cell-Only SyndromeSpermatogenesisSeminal Plasma Proteins

Identifiers

PMID20668881
PMCPMC2939328
OpenAlexW1978796313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.