Evidence map›Paper›PMID 18533039›Full record

ArticleBMC genomics2008

Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences.

Wan-Lin Su, Barmak Modrek, Debraj GuhaThakurta, Stephen Edwards, Jyoti K Shah, Amit V Kulkarni, Archie Russell, Eric E Schadt, Jason M Johnson, John C Castle

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  3. American journal of physiology. Gastrointestinal and liver physiology · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Wan-Lin SuMolecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA. wan-lin_su@merck.com
Barmak Modrek
Debraj GuhaThakurta
Stephen Edwards
Jyoti K Shah
Amit V Kulkarni
Archie Russell
Eric E Schadt
Jason M Johnson
John C Castle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that genetic and sex differences strongly influence gene expression in mice. Given the diversity and complexity of transcripts produced by alternative splicing, we sought to use microarrays to establish the extent of variation found in mouse strains and genders. Here, we surveyed the effect of strain and sex on liver gene and exon expression using male and female mice from three different inbred strains.

results71 liver RNA samples from three mouse strains - DBA/2J, C57BL/6J and C3H/HeJ - were profiled using a custom-designed microarray monitoring exon and exon-junction expression of 1,020 genes representing 9,406 exons. Gene expression was calculated via two different methods, using the 3'-most exon probe ("3' gene expression profiling") and using all probes associated with the gene ("whole-transcript gene expression profiling"), while exon expression was determined using exon probes and flanking junction probes that spanned across the neighboring exons ("exon expression profiling"). Widespread strain and sex influences were detected using a two-way Analysis of Variance (ANOVA) regardless of the profiling method used. However, over 90% of the genes identified in 3' gene expression profiling or whole transcript profiling were identified in exon profiling, along with 75% and 38% more genes, respectively, showing evidence of differential isoform expression. Overall, 55% and 32% of genes, respectively, exhibited strain- and sex-bias differential gene or exon expression.

conclusionExon expression profiling identifies significantly more variation than both 3' gene expression profiling and whole-transcript gene expression profiling. A large percentage of genes that are not differentially expressed at the gene level demonstrate exon expression variation suggesting an influence of strain and sex on alternative splicing and a need to profile expression changes at sub-gene resolution.

Indexed as

Gene Expression ProfilingGenetic VariationOligonucleotide Array Sequence AnalysisSex CharacteristicsAnimalsExonsFemaleLiverMaleMiceMice, Inbred C3HMice, Inbred C57BLMice, Inbred DBAPolymorphism, Single NucleotideRNA Splicing

Identifiers

PMID18533039
PMCPMC2432077

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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.