Evidence map›Paper›PMID 24438502›Full record

ArticleBMC genomics2014

Integrated transcriptome analysis of mouse spermatogenesis.

Gennady Margolin, Pavel P Khil, Joongbaek Kim, Marina A Bellani, R Daniel Camerini-Otero

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

90 citing papers in PubMed, 155 citations in OpenAlex.

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  14. Genomic analysis reveals a cryptic pangolin species.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  19. Ectopic expression of meiotic cohesin generates chromosome instability in cancer cell line.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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30 more citing papers are in PubMed but not listed here.

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.

Gennady Margolin
Pavel P Khil
Joongbaek Kim
Marina A Bellani
R Daniel Camerini-OteroGenetics and Biochemistry Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Building 5, Room 205A, Bethesda, MD 20892, USA. rdcamerini@mail.nih.gov.
National Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · USNational Institute on Aging · US

Funding

The different pathways involved in meiotic recombination in mammalsZIADK052033 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CAMERINI-OTERO, RAFAEL · 2009 to 2017
$7.0M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundDifferentiation of primordial germ cells into mature spermatozoa proceeds through multiple stages, one of the most important of which is meiosis. Meiotic recombination is in turn a key part of meiosis. To achieve the highly specialized and diverse functions necessary for the successful completion of meiosis and the generation of spermatozoa thousands of genes are coordinately regulated through spermatogenesis. A complete and unbiased characterization of the transcriptome dynamics of spermatogenesis is, however, still lacking.

resultsIn order to characterize gene expression during spermatogenesis we sequenced eight mRNA samples from testes of juvenile mice from 6 to 38 days post partum. Using gene expression clustering we defined over 1,000 novel meiotically-expressed genes. We also developed a computational de-convolution approach and used it to estimate cell type-specific gene expression in pre-meiotic, meiotic and post-meiotic cells. In addition, we detected 13,000 novel alternative splicing events around 40% of which preserve an open reading frame, and found experimental support for 159 computational gene predictions. A comparison of RNA polymerase II (Pol II) ChIP-Seq signals with RNA-Seq coverage shows that gene expression correlates well with Pol II signals, both at promoters and along the gene body. However, we observe numerous instances of non-canonical promoter usage, as well as intergenic Pol II peaks that potentially delineate unannotated promoters, enhancers or small RNA clusters.

conclusionsHere we provide a comprehensive analysis of gene expression throughout mouse meiosis and spermatogenesis. Importantly, we find over a thousand of novel meiotic genes and over 5,000 novel potentially coding isoforms. These data should be a valuable resource for future studies of meiosis and spermatogenesis in mammals.

Indexed as

Gene Expression ProfilingAlgorithmsAlternative SplicingAnimalsCluster AnalysisMaleMeiosisMiceOpen Reading FramesRNA Polymerase IISequence Analysis, RNASpermatogenesisSpermatozoaTranscriptional Elongation FactorsRNA Polymerase IITranscriptional Elongation Factors

Identifiers

PMID24438502
PMCPMC3906902
OpenAlexW2051858807

What OpenQuestion holds

Textmetadata
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.